ĪŚŃ»“«Ć½ Portugal /pt-en/ ĪŚŃ»“«Ć½ Wed, 26 Mar 2025 09:09:26 +0000 en-US hourly 1 https://wordpress.org/?v=6.7.2 /pt-en/wp-content/uploads/sites/42/2023/09/cropped-cropped-favicon-1.png?w=32 ĪŚŃ»“«Ć½ Portugal /pt-en/ 32 32 216471720 Data Fabric: Unlocking all of dataā€™s superpowers /pt-en/insights/expert-perspectives/data-fabric-unlocking-all-of-datas-superpowers/ /pt-en/insights/expert-perspectives/data-fabric-unlocking-all-of-datas-superpowers/#respond Wed, 19 Feb 2025 12:22:18 +0000 /pt-en/?p=527858&preview=true&preview_id=527858

Data Fabric:
Unlocking all of dataā€™s superpowers

Sjoukje Zaal
February 19, 2025

Data fabric helps organizations overcome the challenge of managing overwhelming data by unifying and streamlining disparate sources. It connects and integrates data across environments, transforming complexity into actionable insights that drive innovation.

Utilizing data is not a passing trend; itā€™s a core element of business strategy. However, despite its potential, many organizations struggle with turning overwhelming amounts of data into valuable insights. This is where data fabric comes in, offering a solution to unify and streamline disparate data sources. By connecting and integrating data from various environments, data fabric provides a clear path from complexity to actionable insights that drive innovation and improve competitive advantage.

The data challenge: Why data fabric matters

Businesses face the dual challenge of becoming data-driven while navigating an increasingly complex landscape. From data silos to a lack of coordination between business and IT, and growing concerns about privacy and governance, the hurdles are many. But amidst all these challenges, one thing remains clear: data is a key asset in todayā€™s digital world. The real question isnā€™t whether data is valuable; it is instead how organizations can leverage it effectively. In a fast-paced, competitive environment, businesses that can unlock the value of their data will make more informed decisions, optimize operations, and stay ahead of competitors. This is where data fabric proves its worth, making it easier to integrate, analyze, and secure data, driving both innovation and business success.

The need for data fabric: Bringing order to chaos

A data fabric acts as a unified platform that connects and manages data from various sources ā€“ whether on-premises, in the cloud, or in a hybrid setup. It integrates structured, semi-structured, and unstructured data, creating a cohesive environment where all data types work together seamlessly. In other words, data fabric eliminates the silos that stifle innovation and ensures that data is always ready to provide real-time insights.

Todayā€™s data environments are anything but simple. The idea of funneling all data into one central repository doesnā€™t hold up in a world of distributed systems and multi-cloud ecosystems. Data fabric allows organizations to keep their data where it is while still making it accessible and manageable, so itā€™s easier to extract the insights that power decision-making and business growth.

Foundation layer: The role of metadata 

The foundation of data fabric is metadata: the data about your data. In a world where data exists in multiple locations, formats, and systems, metadata helps connect the dots. Rather than moving data around unnecessarily, metadata enables data virtualization, allowing real-time access without physically transferring data. This approach streamlines data discovery, integration, and governance, ensuring that the right data is accessible at the right time. This metadata layer is also what makes data fabric ā€œsmart.ā€ It doesnā€™t just connect data; it helps organize it in a way that makes sense. By automating processes like data discovery and governance, metadata enables organizations to manage complex data environments more efficiently while maintaining control over quality and security.

Composable data products: Innovation at speed

One of the most powerful features of data fabric is the ability to create composable data products. These are reusable, modular datasets or services that can be combined in various ways to create new capabilities or services. Instead of reinventing the wheel every time a new business need arises, organizations can use existing data products to accelerate innovation.

This modular approach allows businesses to rapidly respond to market demands, creating new offerings or features without starting from scratch. Itā€™s about leveraging whatā€™s already available, making it easier and faster to innovate while maintaining flexibility.

Data democratization and self-service: Empowering teams to innovate

Traditionally, data has been controlled by IT departments, slowing down decision-making and limiting innovation. With data fabric, that changes. Data democratization means giving everyone in the organization the ability to access and work with data, not just the IT team. This shift empowers teams to experiment, collaborate, and iterate faster, without waiting for IT to process every request.

By enabling self-service analytics and empowering teams to create their own data products, organizations can speed up innovation and improve collaboration. Developers, data scientists, business analysts ā€“ everyone gets the tools to explore data and generate insights in ways that drive the business forward. In short, data fabric fosters a more agile and responsive organization.

AI integration: Powering smarter insights 

AI relies on high-quality, structured data to provide valuable insights. Fortunately, data fabric is designed to work seamlessly with various data structures ā€“ whether itā€™s tables, graphs, or lists ā€“ ensuring that AI and machine learning models have access to the rich, reliable datasets they need to make accurate predictions.

With strong governance and data lineage, data fabric provides the foundation for AI and machine learning models to thrive. This enables innovations in areas like predictive analytics, personalized recommendations, and automation, while ensuring the integrity and security of the data being used.

Data fabric also enhances the AI process by automating many of the routine tasks that traditionally take up valuable time. Tasks like data integration, quality management, and anomaly detection can be automated using AI, freeing up organizations to focus on more high-value innovations that drive business growth.

ā€œBy enabling self-service analytics and empowering teams to create their own data products, organizations can speed up innovation and improve collaboration.ā€

The transformative power of data fabric 

Data fabric isnā€™t just a technological solution ā€“ itā€™s a game-changer for how organizations manage their data. By leveraging metadata and AI-driven solutions, data fabric helps organizations create a flexible, responsive, and innovative data environment. This environment fosters faster insights, quicker development cycles, and the ability to respond to market changes with agility.

Perhaps most importantly, data democratization enables a culture of innovation where employees across departments can contribute to business success. As data volumes grow and complexities increase, data fabric will be the key to not only managing these challenges but turning them into new opportunities for growth.

Data fabric is an essential solution for organizations looking to stay competitive and innovative in a world where data is becoming increasingly complex. By integrating AI, automating routine tasks, and empowering teams to access and use data freely, youā€™ll position your organization for success in the digital economy.

Start innovating now ā€“

Build a unified data fabric

Begin by implementing a data fabric that integrates and manages data across all environments: cloud, on-premises, and hybrid. Real-time access and seamless connectivity eliminate silos, unlocking new possibilities for faster insights and product development. 

Create reusable data products

Transform your data into modular, reusable products. This approach accelerates innovation and enables faster iteration, so you can create new services and capabilities without starting from scratch every time. 

Empower teams with data

Democratize your data by making it accessible to everyone. Self-service capabilities allow teams to experiment and innovate quickly, fostering a culture of continuous, business-driven innovation.

Interesting read?

ĪŚŃ»“«Ć½ā€™s Innovation publication, Data-powered Innovation Review – Wave 9 features 15 captivating innovation articles with contributions from leading experts from ĪŚŃ»“«Ć½, with a special mention of our external contributors from, and . Explore the transformative potential of generative AI, data platforms, and sustainability-driven tech. Find all previous Waves here.

Meet the authors

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    Strengthening (Bio) pharmaceutical supply chain /pt-en/insights/expert-perspectives/strengthening-biopharmaceutical-supply-chain/ /pt-en/insights/expert-perspectives/strengthening-biopharmaceutical-supply-chain/#respond Tue, 06 Feb 2024 14:47:11 +0000 /pt-en/?p=523621

    Strengthening (Bio)Pharmaceutical Supply Chain

    Dulce Bento
    Dulce Bento
    6 Feb 2024
    capgemini-engineering

    The Biopharmaceutical Industry plays a crucial role in saving lives and improving public health worldwide through the development and supply of innovative drugs. The adoption of disposable single-use materials has revolutionized the manufacturing of biopharmaceuticals. However, limited availability during high demand, like the COVID-19 pandemic, can lead to critical shortages of essential medicines, delays in life-saving treatments, and economic repercussions, ultimately jeopardizing patient well-being. The consequences of such disruptions highlight the need for resilient and diversified supply chains in this vital sector.

    The biopharmaceutical manufacturing landscape is undergoing a transformative shift with the widespread adoption of disposable single-use materials, such as disposable bioreactors, bags, tubing, connectors, and filters. These materials are advantageous because they minimize the risks of product cross-contamination, reduce cleaning and validation requirements, and enable flexibility in production, ultimately improving safety, efficiency, and cost-effectiveness in the manufacturing of biopharmaceuticals. But limited availability of disposable materials during periods of increased demand, can seriously affect the supply of biological drugs. To bolster supply chain resilience, the FDA recently released a Guidance for Industry on “Changes to Disposable Manufacturing Materials: Questions and Answers” (U.S. FDA, 2022) . Furthermore, ĪŚŃ»“«Ć½’s report emphasizes the necessity for proactive approaches, with only 11 percent of organizations adequately prepared for potential disruptions (ĪŚŃ»“«Ć½ Research Institute, 2022). This article explores strategies to minimize supplier dependency and ensure a resilient supply chain.

    The Risk of Dependency on Single-Use Suppliers

    While some of the biomanufacturing processes use disposables only in some of the production steps, others heavily rely on single-use technologies for all the steps, from upstream to downstream. When stainless steel equipment is used, the manufacturers are mostly in control of the production infrastructure. However, there is not the same level of control with the single-use products since they must be delivered by the supplier. Therefore, over the years the biopharmaceutical manufacturers have become highly reliant on the suppliers of single-use components, used for both critical and non-critical production steps, which results in an increased risk. This risk was evident during the COVID-19 pandemic. There was a boost in the production of biopharmaceuticals due to the global COVID-19 vaccination initiatives and, as a result, materials were prioritized for COVID vaccines manufacturing which translated in a global shortage of single-use materials.

    Image 1 ā€“ Mapping the Biopharma Supply Chain

    Mitigating Dependency Risk through Multi-Sourcing

    One way to mitigate supplier dependency risk is by multi-sourcing single use products which consists in using two (or multiple) different suppliers for the same component. Multi-sourcing can improve supply chain resilience by increasing supplier diversification, which reduces the risk of disruptions caused by supplier-specific or region-specific issues, such as regional disease outbreaks or political instability. Multi-sourcing also has its drawbacks, it can lead to an increased complexity in supplier management, higher administrative costs, and maintaining consistent product quality across multiple sources can be more challenging. Despite that, different industries already successfully implement multi-sourcing strategies. For example, in the electronics industry, Apple Inc. is known for sourcing key components of their smartphones from different suppliers. In the aerospace industry, Boeing also works with multiple engine manufacturers to mitigate supply chain risks.


    In a real-life use case, ĪŚŃ»“«Ć½ worked with a biopharmaceutical company to mitigate its dependency on one major single-use materials supplier. Critical single-used materials from alternative suppliers were qualified in order to ensure business continuity. The ultimate goal in multi-sourcing is to be able to use the products from different suppliers interchangeably, without risking the process and patient safety.
    The main steps usually required to qualify alternative single-use materials from a different supplier and implement its use in a GMP biomanufacturing process are:

    1. Identification of the need: define the need for dual-sourcing, which may be for example due to limited availability of the material, cost reduction or simply supply chain diversification.
    2. Supplier selection: evaluate potential alternative suppliers considering aspects such as their quality systems, reliability, regulatory compliance, and material cost.
    3. Risk Assessment: identify and assess potential risks associated with the change based on the intended use of the alternative disposable material and the manufacturing process step in which it is used. The regulatory reporting category suitable for the introduction of the alternative must be defined.
    4. Material characterization: gather comprehensive data on the alternative materials, including its chemical and physical properties, compatibility with the product and with the process, regulatory compliance and extractables and leachable data, if required. Functional equivalency of the new material must also be demonstrated.
    5. Test the prototype: assess a prototype/sample of the alternative material to ensure it fits well within the established GMP manufacturing process steps.
    6. Change control: initiate a change control process to document and manage the introduction of the alternative single-use component.
    7. Supplier qualification: assess the supplier’s ability to meet quality and regulatory requirements, ensuring materials supplied are safe and reliable for use in biopharmaceutical manufacturing.
    8. Material qualification: perform qualification activities to demonstrate the suitability of the alternative material for the specific GMP process in which it will be implemented. Studies to be performed are dependent on the type of material and its intended use.
    9. Documentation/systems updates: update all the required documentation and electronic systems to add the alternative material.
    10. Regulatory notification and implementation: prepare and submit any necessary notifications or regulatory filings and introduce the alternative single-use material as approved in the change control.

    Image 2 ā€“ Key Steps in Multi-Sourcing Strategy

    The supply chain of the future is Intelligent

    The establishment of intelligent supply chains can further enhance supply chain resilience and optimize multi-sourcing capabilities. By leveraging advanced digital technologies, pharmaceutical companies can improve supplier selection, generate accurate demand forecast and optimize inventories, monitor supplier performance, enhance risk management associated with the supply chain and ensure regulatory compliance across multiple suppliers.
    An intelligent supply chain leverages technology to make data-driven decisions and adapt to changing conditions and can help to identify potential risks and vulnerabilities in the supply network. Multi-sourcing provides the flexibility and risk mitigation necessary to ensure a robust and resilient supply chain. Together, they can help organizations to navigate complex supply chain challenges and deliver products reliably to customers while managing risks effectively.

    Embrace the path of resilience

    It’s time for biopharmaceutical companies to strengthen their supply chains and to embrace the path of resilience. By reducing dependence on a single source, companies can reduce their vulnerability to supply chain disruptions. Building multi-sourcing capabilities has a high positive impact on the supply assurance of the pharmaceutics to the patients, offering an immeasurable value to patient health and well-being while bolstering brand reputation. Act now, for a robust tomorrow.


    References:

    [1] ĪŚŃ»“«Ć½ Research Institute. (2022). How greater intelligence could supercharge supply chains. Augmented resilience, performance, and sustainability will allow organizations to take on a customer-centric focus.

    [] U.S. FDA. (2022). Changes to Disposable Manufacturing Materials: Questions and Answers Guidance for Industry.

    Author

    Dulce Bento

    Dulce Bento

    Senior Consultant in Lifesciences
    Dulce Bento is a Senior Consultant in Lifesciences at ĪŚŃ»“«Ć½ Engineering. She is PharmD with a PhD in Pharmaceutical Technology and more than 6 years of experience in Biopharmaceutical Industry. Dulce performed academic research on the field of Vaccines Adjuvants and has experience in analytical method transfer, characterization of biopharmaceutical products and qualification of dual sourced single used materials for bioproduction.
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      Model-based everything /pt-en/insights/expert-perspectives/model-based-everything/ /pt-en/insights/expert-perspectives/model-based-everything/#respond Mon, 11 Dec 2023 12:20:47 +0000 /pt-en/?p=523234&preview=true&preview_id=523234

      Model-based everything
      or how to bake cake that turns out right every time

      Jonathas Baker
      6 Dec 2023
      capgemini-engineering

      Are you tired of cake recipes that you follow to the letter, but just never turn out quite right? Do you marvel at the perfect cakes grandma used to make, using recipes in her head and an apparent mish-mash of ingredients?

      Mr. Bakerā€™s Brownies

      • 3 cups sugar
      • 1 cup butter
      • 1 tablespoon vanilla extract
      • 4 eggs
      • 1Ā½ cups flour
      • 1 cup powdered cocoa
      • 1 teaspoon salt
      • 1 cup nuts

      If yes, then grab your coffee, because we are going to find out how to make the perfect cake: one that looks great, tastes delicious, and is made with readily available sugar and flour from your local store.

      Thatā€™s right. We are going to turn grandmaā€™s secret recipe into a formal model that gets it right first time, every time. And all thanks to model-based systems engineering (MBSE).

      According to the Merriam-Webster dictionary, a ā€˜recipeā€™ is ā€œa formula or procedure for doing or attaining somethingā€. A recipe can therefore apply to everything from aerospace manufacturing checklists to instructions for human-machine interfaces in industrial settings. Similarly, algorithms can be thought of as recipes – procedures for attaining desired computations.

      At first glance, the brownie recipe seems easy enough, right? Just mix everything together, in the order given, put the batter in a greased tray and bake for half an hour. Indeed, it should be a ā€˜piece of cakeā€™!

      Except when it isnā€™t.

      A little too much butter and we get a fudgy sludge. A little too much heat and we get a hard, burnt crust that is uncooked on the inside. There was too much or too little of something, and the recipe fell short of expectations, and often we don’t know why.

      Expectations are a complicated thing to manage. Fortunately, however, system requirements are not! Enter MBSE.

      Figure 1 ā€“ Model-Based Systems Engineering applied to cake

      Models: another way to think about recipes

      Instead of using sequential procedures as a recipe to create the cake, weā€™re going to explore the use of something more magical. An understanding possessed by only the most experienced grandmas ā€“ an intuitive understanding of how the ingredients work together. Letā€™s call this a model of the cake.

      The model is an objective assessment of the perfect cake ā€“ how it looks, tastes and smells ā€“ and how to get there. But because it understands the causal links between the steps in the recipe and the end result, it can be used to tweak the optimal conditions for the perfect cake ā€“ for example, perhaps your particular oven needs to be turned up a bit.

      But this model can do more than just define and refine the original recipe.

      For example, maybe we want to try a flour substitute for a gluten-free version of the cake. Most wheat flour substitutes are mixes of flours from different grains, like corn or rice. In this case, the proportion of each kind of flour in the substitute will impact the end result, which is the baked gluten-free cake. The model can help you understand how ā€“ if you substitute one ingredient ā€“ you should make adjustments to others to get a similar end result.

      And it doesnā€™t end there. The model isnā€™t limited to proposing substitutes to deliver the same requirement – it can also change the requirements to create similar recipes. It can be derived (in formal MBSE parlance) to bake other delicious things, like muffins and breads. Furthermore ā€“ and this is perhaps more relevant once we move from home baking to industrial scale R&D ā€“ the model can be altered dynamically, in a collaborative way.

      This model-based approach saves a lot of time and investment. Without it, we may need a whole floor filled with ovens and maĆ®tres pĆ¢tissiers ā€“ pursuing the traditional scientific approach of double-blind studies and controlled variables – to produce novel pastries. That was basically the approach of R&D departments in the 1960s. As a way to innovate, it was better than nothing, but it was expensive, time consuming and not a sustainable research approach for many companies. MBSE cuts out a lot of this experimentation.

      Introducing: virtualized pastry

      A better way would be to employ our model to power a digital twin of the cake: a virtualized pastry that exists as a set of parameters that can be changed at will.

      The nature of the digital twin means that the outcome of a change to the recipe can be known beforehand. Want to go for a white-chocolate brownie? Or use a different kind of nut? Perhaps you want to try a vegan substitute for butter, or a gluten-free alternative to flour? The digital twin cake can be baked in a virtual oven and results obtained before you head to the supermarket.

      Figure 2 ā€“ Generalized cake production process.

      And donā€™t take this for science fiction. Digital twins are already in use today across a wide range of industries. An actual bakery business could train new hires with such a tool and study the outcome of new recipes, all before firing the oven. The commercial potential of virtual models is enormous – we are talking about an $80 billion market in the US alone for preserved pastry and cakes, let alone bread.

      What do we mean by a model?

      So, we move on to the question of what exactly constitutes this model.

      Model-based systems engineering is a large field that deals with the science of defining such models and the way that they should be implemented. The models posed by MBSE are abstracts, rather than physical models. The system ā€“ eg. the cake – is described using software as a set of relationships between the entities (or ingredients) involved. This virtual abstraction allows the model to be easily shared and configured.

      The abstractions that comprise this model must be computable in some way ā€“ ie we must be able to put a number on it.

      They say you canā€™t compare apples to oranges. But you can weigh them or measure their size. And you can even measure more abstract organoleptic criteria ā€“ ie taste, sight, smell, and touch. There is even an ISO standard on it: , ā€œSensory analysis ā€“ Methodology ā€“ Texture profileā€, which describes techniques that can measure the sensory texture parameters. Using these and other techniques, it is possible to put numbers on subjective qualities. If done thoroughly, every organoleptic property of the cake may be parameterized and fed into the model. The same model can even be used to simulate the baking process of both apple and orange cakes, negating the need to do this physically ā€“ bringing down R&D costs and time to market.

      These characteristics enable more advanced uses of the model, like the aforementioned digital twin, that could be used to simulate the optimum quantity of apples or oranges (or any other ingredient) by simply computing the model inputs, based on the desired output.

      Verification and validation of this computed output then becomes a routine activity – instead of a laborious process – because the inputs and outputs of the cake system, described by the cake model, are all explicitly given by the digital twin. Finally, as a virtual object, the model can be transferred, copied and edited by different people at the same time. For example, if one oven specialist updates the convection heat transfer model, everyone else in the shop benefits from the improved model.

      MBSE: not just for cake

      Model based systems engineering is not just an abstract concept. It has the power to make tricky things much easier. In our baking example, modeling can bring the deliciousness out of simple flour and sugar, more quickly, and more cheaply without the need for physical trial and error – and the resulting expensive mistakes. And it is not just about cake, MBSE can be used to speed the innovation process for any new ā€˜recipeā€™, whether for a vaccine or a plane engine.

      Author

      Jonathas Baker

      Semiconductor Firmware Engineer
      Jonathas graduated with a degree in Mechanical Engineering from Unicamp (Brazil) in 2018. He wrote firmware for intelligent photolithography machines whilst at ASML, and worked on firmware for smart agricultural implements in prior roles. Joining ĪŚŃ»“«Ć½ Engineering in August 2022, Jonathas brings a wealth of experience in both mobile and stationary industrial automation. Recently defending his Masterā€™s dissertation at UFOP (Brazil), Jonathas explored the automated estimation of biofouling-induced drag in ship hulls.
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        Unleashing a new era of work, with Generative AI /pt-en/2023/10/31/unleashing-a-new-era-of-work-with-generative-ai/ /pt-en/2023/10/31/unleashing-a-new-era-of-work-with-generative-ai/#respond Fri, 03 Nov 2023 08:33:02 +0000 /pt-en/?p=522994&preview=true&preview_id=522994

        Unleashing a New Era of Work, with Generative AI

        Alan Connolly and Maciej Kafel
        31 Oct 2023

        Generative AI within the workplace isnā€™t just innovation, it is a whole new way of working. Whilst the technology has been around for some time, it hasnā€™t been so readily available to everyone across the workplace, and it has caused a paradigm shift transforming the very foundation of how we work, collaborate, and perform our daily tasks, promising a future rich in creativity, innovation, and peak performance.

        Generative AI is fundamentally changing the way we work. It is poised to create a future of work where human and artificial intelligence work as one to achieve extraordinary outcomes.ā€‹

        The onus is now on businesses to harness the opportunities the technology presents whilst also understanding its implications on security, data, and people, and to truly rethink new ways of working to fully maximize the benefits.

        In less than a year since ChatGPT’s release, generative AI is now discussed in almost every boardroom ā€“ the ĪŚŃ»“«Ć½ Research Institute recently found that 96% of organizations say generative AI is on their agenda ā€“ and most are optimistic about its benefits. The next step is to turn optimism into action, and the workplace is at the epicenter of this change.

        Hyper-personalization: A game-changer

        In the era of generative AI, the workplace will no longer be a one-size-fits-all environment. It’s a dynamic space where services and experiences are tailored to individual preferences, work patterns, and communication styles.

        With the ability to analyze colossal amounts of data, Generative AI can create a unique work environment for everyone, allowing new ways of working and opportunities for businesses to rethink the modern workplace. This hyper-personalization redefines digital engagement, collaboration, and personal performance, and transforms how we learn, develop, and perform.

        Imagine AI-powered virtual assistants that understand your unique work style and dynamically optimize workflows accordingly.

        Or what if you could experience personalized learning paths designed around your unique strengths and weaknesses, providing you with the precise skills you need to excel in ways that work for you so that knowledge and retention are at their maximum.

        This augmented human experience shifts the focus towards innovation and creativity, makes work more enriching.

        The performance renaissance

        Generative AI is not just enhancing personalization; it’s redefining productivity and more excitingly it will have a transformational impact on personal performance. By integrating AI co-pilots into everyday applications, mundane tasks are automated, time is optimized, and errors are minimized. This allows employees to focus on the strategic and creative aspects of their jobs, thereby boosting their performance to new heights.

        With performance enhancement copilots such as Microsoft 365 Copilot, employees now have the ability to take their performance to the next level, to be more expressive and impactful in their presentations, more creative and efficient when producing documentation, more analytical across large complex datasets, and more resourceful when engaging with communications channels such as email and instant messaging.

        The transformation is all-encompassing, extending to frontline workers as well. AI copilots can optimize the performance of various professionals, from doctors to retail workers. For instance, retail assistants could leverage AI copilots that analyze customer behavior, preferences, and past purchases to provide personalized shopping experiences.

        These AI-powered applications can streamline tasks, provide real-time insights, and enable frontline workers to deliver unparalleled service, thereby transforming their roles and enhancing their productivity.

        Operational excellence: The new norm

        Beyond enhancing workplace personalization and productivity, generative AI is fast becoming the bedrock of operational efficiency, ensuring organizations remain relevant and sustainable.

        For example, AI chatbots empower customer service agents to deliver rapid and superior solutions. Agents can be trained to provide better responses, reduce issue resolution times, and gain easy access to information during customer interactions.

        The impact extends to the onboarding of new colleagues who can quickly become as effective as senior agents. This not only improves service quality, but also customer perception. Agents have the ability to not only respond, but also to train AI models, further improving data quality and value.

        Generative AI’s impact extends to every layer of support, from foundational operations to knowledge management, streamlining processes and reducing the burden on employees.

        Our point of view ā€“ The Generative AI imperative

        The advent of generative AI has ushered in a new era, ready to transform industries across the spectrum. With pace come challenges, and organizations must tread carefully, considering the ethical and social implications of AI. Privacy, security, bias mitigation, accountability, and digital inclusion should all be integral to integrating AI in all its forms across your business.

        To harness the transformative potential of generative AI and reinvent the employee experience, a human-centered approach is paramount. Organizations must prioritize the needs and aspirations of their employees, engage in collaborative AI co-creation, and respect individual values and preferences.

        Generative AI is not a distant wave but a powerful tide reshaping the employee experience. The extent to which an organization participates will define its future in the ever-evolving market. It’s not a race to be the fastest; it’s a commitment to being in the game, adapting to change or risking obsolescence.

        In conclusion, the dawn of generative AI is an inspiring, exciting, and transformative event. It’s about unleashing a whole new way of working, enabling people to be more creative, innovative, and efficient in their roles. It’s about empowering individuals, enhancing experiences, and driving businesses forward into an exciting future.

        The caveat is that the effectiveness of gen AI in the workplace hinges on your ability to manage and secure your data, move quickly to the cloud, and have an unwavering focus on your most important asset ā€“ your people.

        Step into the future of work with Microsoft 365 Copilot guided by our agile, end-to-end approach that puts people at the heart of workplace transformation.

        Step into the future of work with Microsoft 365 Copilot guided by our agile, end-to-end approach that puts people at the heart of workplace transformation.

        Authors

        Alan Connolly, Global Head ā€“ Employee Experience and Digital Workplace, ĪŚŃ»“«Ć½

        Alan Connolly

        Global Head of Digital Workplace Services, Cloud Infrastructure Services
        Global Head of Digital Workplace Services, Cloud Infrastructure Services

        Maciej Kafel

        Expert in Business Transformation, Digital Transformation, Infrastructure Transformation Services
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          Unleashing healthcareā€™s power with 5G /pt-en/2023/08/22/unleashing-healthcares-power-with-5g/ /pt-en/2023/08/22/unleashing-healthcares-power-with-5g/#respond Tue, 22 Aug 2023 17:26:02 +0000 /pt-en/?p=521763

          Unleashing healthcareā€™s power with 5G

          Pedro MaurĆ­cio
          13 April 2022
          capgemini-engineering

          5G is transforming healthcare, creating new ways for technology and medicine to interact, and unlocking innovative new applications

          With 5G comes a world of possibilities. The impacts on healthcare of the mobile networkā€™s latest evolutionary step will be broad, crossing multiple sectors. In addition to faster internet, healthcare will greatly benefit from comprehensive coverage, higher bandwidth, and more reliable connectivity to medical devices. These advances will also herald new use cases in Augmented reality (AR) and virtual reality (VR), and support new applications of Artificial Intelligence (AI) and Big Data to emerge.

          Such advanced applications could include the rapid dispatch of drones equipped with medical equipment to emergency scenes, or the use of VR headsets and haptic gloves to enable surgeons to remotely perform procedures on patients.

          It is expected that 5G will create a domino effect of digital transformation in healthcare. Both medicine and telecommunications are seeing perhaps the fastest and most highly evolved technological leap of any industry over the past few years. Their paths converge and connect as never before, presenting huge opportunities to improve our health and well-being.

          And not only does 5G technology encompass the development of healthcare technology, it also represents a tremendous impact on all topics related to health. There are new horizons for telehealth and smart health, as 5G creates effective conditions for all healthcare players to provide and receive healthcare wherever they are around the world.

          The capabilities of the 5G network are creating the perfect conditions for new and disruptive technologies to develop and evolve as never seen before. This journey will not be a straight and simple one, however. Multiple stakeholders, challenges, expectations, uncertainties, and risks will need to be addressed. Nevertheless, healthcare businesses will benefit greatly from this new connectivity which, together with the implementation of new cloud services, will enable a digital transformation and serve as a catalyst for the new innovations for patients, physicians, and the industry itself.

          If you want to know more about the impact of 5G on healthcareā€™s digital transformation, download the white paper ā€œUnleashing the power of healthcare with 5Gā€.

          This white paper focuses on the converging and evolving path of both medicine and telecommunications, especially the opportunities and challenges the arrival of 5G has created. It explores innovations expected in healthcare technology ā€“ from health wearables to drone-delivered medical supplies, from remote surgeries to AI and Internet of Medical Things (IoMT). All of these need high performance connectivity and infrastructure, but that can be difficult to maintain. The next generation of networks promises to be the key to addressing this. Our services at ĪŚŃ»“«Ć½ Engineering are leading the way.

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          One big step forward in digital health with SAMD /pt-en/2023/07/17/one-big-step-forward-in-digital-health-with-samd/ /pt-en/2023/07/17/one-big-step-forward-in-digital-health-with-samd/#respond Mon, 17 Jul 2023 16:46:51 +0000 /pt-en/?p=521651

          ONE BIG STEP FORWARD IN DIGITAL HEALTH WITH SAMD

          Janet Nason & Pedro MaurĆ­cio
          6 Apr 2022
          capgemini-engineering

          Applying ĪŚŃ»“«Ć½ Engineeringā€™s Software-as-a-Medical-Device framework to solve tough design challenges across the digital healthcare ecosystem.

          Innovation in the healthcare industry is accelerating as digital technology is infused in every aspect of healthcare delivery. The application of IoT, Cloud, AI, Augmented Reality, 5G, and other technologies into medical devices is increasing, resulting in better diagnoses, treatment, and patient monitoring without the need for human contact. This transformation is creating numerous challenges in the field of Software-as-a-Medical-Device (SaMD), which can be overcome by leveraging the ĪŚŃ»“«Ć½ Engineering SaMD framework.

          The global digital healthcare market is expected to grow 28.5% by 2026, while the global connected medical devices market is forecast to grow 18.9%. These numbers reflect the digitalization shift that all players in the healthcare ecosystem are embracing. SaMD is emerging as an opportunity to improve the quality of life for patients with software. It offers new, more efficient ways for healthcare professionals to interact with patients. By merging the physical and digital worlds, the patient gains the power to manage their own healthcare with software that includes all their health information.

          Despite the expectation of SaMDā€™s solid market growth, there are still many challenges to address. Here we focus on six:

          1. Improving health outcomes by using data and fast feedback loops to speed up product iterations and guarantee data quality improvements
          2. Integration and interoperability are evolving rapidly, spurring diverse, interconnected digital health and wellness ecosystem components. The challenge is to safely, securely, and effectively integrate data into the network and exchange and use information.
          3. Ensuring patient safety and privacy in an environment of increasingly sophisticated cybersecurity threats is a constant challenge. With connectivity increasing, personal data must be kept secure and private, especially medical-device data.
          4. Regulatory compliance is essential as more stringent regulations and new technologies emerge to serve global and local needs. The challenges are a significant concern for companies working in this area. They need to know if they comply with all the required regulations, which is not easy. The ĪŚŃ»“«Ć½ Engineering SaMD framework will help companies address their concern.
          5. Identification of marketable opportunities that satisfy evolving stakeholder needs. In some cases, companies intend to invest in SaMD, but they lack the expertise to integrate this digital product and are uncertain the market will accept it. This hesitancy is an innovation blocker, which could jeopardize their future growth.
          6. Accelerating development cycles without sacrificing safety, efficacy and compliance. The industry is familiar with a ten-year development and integration cycle for drugs. Now, the cycle is much shorter if companies expect to be one step ahead in the market.

          The ā€œwhyā€ of the ĪŚŃ»“«Ć½ Engineering SaMD framework

          A few years ago, ĪŚŃ»“«Ć½ Engineering recognized the market urgency for SaMD solutions as a new era was beginning. In 2019, the company started to build a robust foundation that enabled it to support the future developments of SaMD applications and develop reusable components to use in combination or independently in future SaMD applications. These early decisions gave ĪŚŃ»“«Ć½ Engineering a firm foundation that enables SaMD application development. Over the long term, this position ensures the company will be more agile, get products to market faster, be in regulatory compliance, and reduce costs.

          What is a SaMD framework?

          The best term to describe a SaMD framework is integration. That is, integrating people with the necessary expertise and knowledge; a qualified toolchain for medical devices development and testing as required by regulators; a quality management system with documentation that supports the regulatory landscape; robust risk-management activities; and a flexible and robust architecture. Integration is the sum of all these components that will allow companies to comply with regulations, add agility, flexibility, and scalability to their solutions, which combine to get them to market faster.

          The four challenges fulfilled by the ĪŚŃ»“«Ć½ Engineering SaMD framework

          This article is not about simply sharing the success story behind the ĪŚŃ»“«Ć½ Engineering SaMD framework. It is about exploring the challenges that led us to the point of being able to support our customers on their journey to develop their SaMD products. For clients not so familiar with the regulatory processes, ĪŚŃ»“«Ć½ Engineering also helps them provide the software elements and all the complementary (and mandatory) documentary evidence, such as technical documentation, etc.

          1. The importance of a robust and qualified toolchain: A synonym of the framework is integrated tools. It is not necessary to discuss which tools to use or if some of them have to be qualified or not. The entire toolset is already established, so the client does not need to worry about the tools and their maintenance.
          2. To assure compliance: ā€œIf something is not written down, it didnā€™t happen.ā€ This statement captures why it is essential to have documentation to establish plans, results, reports, and next steps. However, it is a delicate process to assemble all the necessary documentation from the regulatorā€™s point of view. The journey is not easy and depends a lot on the projects, products, and markets.Yet, when the client chooses to work with ĪŚŃ»“«Ć½ Engineering, an important organizational step has been taken on the journey.
          3. Fitting agile in medical devices development: Traditionally, software developed in the regulatory environment follows the waterfall model. All the requirements are defined up-front, the product is developed (behind closed doors), and is presented at the end of the process. However, the trend in software development requires an agile approach. This brings with it the challenge to assure compliance and documentation for each iterative cycle (sprints).
          4. The approach to architecture: Thefirst ĪŚŃ»“«Ć½ Engineering versions of the SaMD framework were developed with some modular features (e.g., chatbot, gamification, and connected devices), but the overall architecture was a monolithic application. This limitation reduced the potential for reuse of all layers of the architecture, which is essential for adapting to the clientsā€™ differentiated and personalized needs. Furthermore, with cloud services growing in popularity, the backend architecture was transformed into a hyper-agile architecture based on microservices, resulting in a more flexible, scalable, and resilient solution.

          The advantages

          By adopting the ĪŚŃ»“«Ć½ Engineering SaMD framework, clients are already ahead of their competitors since we already have a formal set of modules that are easy to integrate into any solution. What can be more advantageous than not having to develop software from zero?

          The modules include:

          • Assets and building blocks that can be reused (i.e., gamification, chatbot, connected devices, etc.), enabling customers to produce what they want. This approach allows them to reduce time-to-market once the development of some features is complete.
          • One framework with multiple combinations allows the customer to construct customized mobile solutions according to their needs. For example, ĪŚŃ»“«Ć½ Engineering can develop an app from nothing or incorporate a new feature in an existing app.
          • Easy integration with other systems and third-party components (i.e., apps, devices, systems, software, etc.).
          • Compliance with regulations and standards (i.e., MDR, CFR 21 Part 820, ISO13485, ISO14971, IEC62304, ISO27001, etc.) requires a team of experts in regulations and quality, and compliance that can support the customerā€™s market submission and post-market activities.
          • Robust post-market product maintenance and lifecycle management (i.e., software updates and enhancements, quality management, regulatory affairs, etc.) supported by product-dedicated teams.

          Digital health will leverage an era full of opportunities for the healthcare industry that is developing new ways of delivering care and for patients, who can improve their health and well-being faster and more effectively. Technology arises as a healthcare enabler once it emerges as an aggregator, connecting patients with caregivers no matter where they are in the world.

          Increasingly, we will hear more about advancements in telemedicine, digital therapeutics (DTx), intelligent connected devices, and much more. Inspired by our clients to prepare for this future of health, ĪŚŃ»“«Ć½ Engineering started the SaMD journey with the idea that was converted into a framework with multiple features. Now it is an ISO13485 certified ecosystem.

          Our framework in practice

          ĪŚŃ»“«Ć½ Engineering has developed and tested a mobile solution for COVID-19 home-quarantined patients and non-critical hospitalized patients. The app monitors patients remotely, allowing them to analyze their health through a questionnaire that analyzes symptoms and, based on the results, suggests a medical appointment or medical intervention.

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          Extend the reality of customer engagement /pt-en/2023/07/17/extend-the-reality-of-customer-engagement/ /pt-en/2023/07/17/extend-the-reality-of-customer-engagement/#respond Mon, 17 Jul 2023 13:52:37 +0000 /pt-en/?p=865165

          EXTEND THE REALITY OF CUSTOMER ENGAGEMENT

          AntĆ³nio RĆŖgo
          25 Nov 2022
          capgemini-engineering

          The rise of the immersive customer engagement is inevitable since its evolution has always been one of fast adaptation to market trends and customer needs and preferences. Contact Centers are, increasingly, the Companies face towards their customers and one of the key indicators of the client’s perception and satisfaction.

          According to the , 59% of customers chose customer experience over product and price as a key brand differentiator. Contact Center channels have evolved alongside technological innovation, and new ways of communication and social interaction are being implemented.

          Among these channel evolution trends, we highlight:

          • From phone to digital.
          • From direct contact to engagement through apps and social media.
          • Mobility.
          • Voice will remain the main choice for customer engagement for some time, but others are catching up (some faster than others), such as email and chat. Voice support technologies are also evolving (VoIP, WebRTC).

          Communication apps and social media are essential means for todayā€™s human relationship. It would be inevitable for companies to use them for business communication and customer engagement as well. Every modern Contact Center today has a facebook or whatsapp availability strategy.

          Mobile phones and smartphones provide the freedom to communicate when and where you need to. The ability for Contact Centers to provide this kind of flexibility to their customers has become a commodity.

          These evolutions are already part of modern Contact Centers, but there is a missing element that will play a critical role in the future customer engagement market: video and animation will lead to more immersive Contact Center experiences.

          XR BENEFITS FOR CONTACT CENTERS

          Video capabilities in the Contact Center have been around for some time, but without real global success. There are some good reasons for this:

          • Video for what purpose? ā€“ This is the main question: why should I use video in my interaction with the Contact Center? To see a sharp dressed agent on the other side? There must be compelling reasons to use video.
          • Privacy and inhibition ā€“ Video is somewhat intrusive. It can inhibit the customerā€™s willingness to express their feelings regarding a given subject. This is not good for the customer, who avoids using this ability, and for the company, who does not get total Customer satisfaction feedback.

          So how should video be used in the context of a Contact Centers and be a real added value in customer service processes?

          As usually said, a picture is worth a thousand words. A video is worth even more. In the customer support of a given solution, being an equipment or Software, the possibility of showing a real time video of this solution to the support agent, can be of great value, acting as a guided or self-service tool to quickly solve the problem, being it an operational or maintenance/repair problem.

          This is where Extended Reality (XR) ā€“ The set of technologies that allow to present contextualized virtual components to real environment (AR ā€“ Augmented Reality), that can be extended, in the limit, to a complete virtualization of the environment (VR ā€“ Virtual Reality) ā€“ presents itself as an important capability.

          Instead of just receiving indications with the video stream and providing voice guidance, which can be a tiring, time-consuming and misleading process for complex solutions and processes, agents can use AR to present elements overlaid on the video, such as arrows, signs and text, draw circles and Xā€™s, etc., and even present step-by-step operational and maintenance procedures, clearly showing at each step what needs to be done.

          HOW CAN AN XR BASED CHANNELS BE INTEGRATED IN CONTACT CENTERS

          Like any other Contact Center interaction, XR-based interactions need to be:

          • Recognizable ā€“ Uniquely identified as XR channel, as well as in terms of its originating party, for routing, monitoring, and measuring purposes.
          • Routable ā€“ Based on the channel used and the originating partyā€™s information, flexible routing based on scripts and Database information should be possible to deliver it to the right agent at the right time.
          • Processable ā€“ Based on the business processes and applications applied and integrated, it should be able to be seamlessly processed to achieve the required business outcome.
          • Monitorable and Measurable ā€“ Contact Center solutions are seen by operations primarily as productivity tools, these interactions and channels must be able to be monitored in real time and their results and KPIs must be collected and processed, internally or externally in Business intelligence tools, and be presented in dashboards and reports.

          By design, most modern communication solutions, such as of course the XR enabled ones, include the features that make them easily integrated with any business and Contact Center solution:

          • VoIP/webRTC based communications.
          • Web based user interfaces accessible via browser or mobile App.
          • Support of web services APIs for seamless integration.

          USE CASES AND EVOLUTION TOWARDS METAVERSE

          XR technologies are a reality today and new devices and products are released on a daily basis. Several concrete use cases are obvious for the use of XR channels in several aspects such as:

          B2C Contact Center implementations:

          • Telecom Service Providers ā€“ for remote support of more complex equipment in the households, the telecom CPEs are the most obvious use cases. Having a remote expert helping, with intuitive XR tools, to operate and troubleshoot routers and IPTV boxes is of great added value.
          • Software ā€“ traditional SW support tools, such as co-browsing, remote desktop etc. are intrusive and can present security risks. AR can be a seamless and non-intrusive way to lead to navigate web pages and applications correctly towards a particular operational outcome.
          • Auto insurance companies ā€“ AR remote assistance solutions provide a huge benefit to help insurance customers with car breakdowns and remote expert examinations in case of accidents.
          Figure 1: View of remote expert and field operator frontends for ĪŚŃ»“«Ć½ Engineering remote assistance solution

          B2B Contact Center implementations:

          In addition to remote expert-based AR solutions, VR use cases can be of great help for operation, training and problem-solving as they can provide abstraction models of physical objects allowing users to manipulate and visually access parts of it that would otherwise be impossible. It can be used for:

          • Support in healthcare equipment for Hospitals and Clinics
          • Industrial equipment for factories
          • Agriculture (tractors and production equipment)
          • Transport (all types of vehicles)
          • Etc.
          Figure 2: ĪŚŃ»“«Ć½ Engineering AR Installation & Maintenance Interactive Procedure for Healthcare equipment

          IT Helpdesk and internal support

          Contact Centers for internal helpdesks can also benefit greatly from XR solutions, such as:

          • IT Helpdesks ā€“ Supporting all kind of IT equipment and even Corporate Sw.
          • Emergency paramedics ā€“ Supported in emergency situations by doctors.
          • Emergency teams on power companies, Oil & Gas.
          Figure 3: Example of ĪŚŃ»“«Ć½ engineering step-by-step procedure solution

          XR Is the technological foundation that will allow customer engagement to enter the Metaverse.

          The implementation of highly personalized and sophisticated Metaverse virtual places for brand awareness, product marketing and shopping as well as customer service, will provide a more immersive, intuitive and, ultimately, entertaining way for consumers to engage with their favorite brands, and will play a major role in the future of Contact Centers.

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          The potential impact of SAP RISE on your ADM services can be big ā€“ but knowing exactly how to harness it is massive /pt-en/insights/expert-perspectives/the-potential-impact-of-sap-rise-on-your-adm-services-can-be-big-but-knowing-exactly-how-to-harness-it-is-massive/ /pt-en/insights/expert-perspectives/the-potential-impact-of-sap-rise-on-your-adm-services-can-be-big-but-knowing-exactly-how-to-harness-it-is-massive/#respond Wed, 24 May 2023 07:51:07 +0000 /?p=894121



          The potential impact of SAP RISE on your ADM services can be big ā€“ but knowing exactly how to harness it is massiveĀ 

          Himanshu Ambani
          24 May 2023

          In our latest Point of View, ā€œEvolve SAP through Continuous Development and Innovation,ā€ we explore how the evolution of the SAP product suite requires a rethinking of IT approaches to ensure you get the most out of your SAP initiatives. SAP Rise is one such evolution that can bring big results to your ADM ā€“ and business as a whole.Ā 

          SAP RISE has the potential to impact ADM services profoundly. In this blog series, Iā€™ll lay out just how much it can transform your ADM landscape ā€“ and detail all the benefits (and potential drawbacks) of utilizing SAP RISE within your ADM model. 

          SAP RISE (also called RISE with SAP) was launched in 2021. This is a subscription-based service, comprising multiple SAP components that join to form an Intelligent Enterprise with the primary purpose of enabling companies to take full advantage of the power of the Cloud within their core systems. 

          ADM services refer to the outsourcing of different IT areas, for example, infra services, security management, application services, etc. Prior to SAP RISE, these services were normally provided by specialized vendors that held expertise in these areas. ADM without SAP RISE was mature ā€“ and of course competitive ā€“ with a wide range of outsourcing options available between these vendors. However, their services, abilities, and pricing would vary depending on the individual provider. 

          SAP RISE in ADM: Improving the productivity of ADM services by standardizing development and management 

          With the introduction of SAP RISE, various managed services could be combined into a comprehensive offering. This gives organizations the option to take advantage of synergies that will help in simplifying the overall managed service experience by having access to SAPā€™s comprehensive managed services across infrastructure, platform, and application management all together. This is an attractive option for the companies already utilizing SAP ā€“ and can provide them with a more streamlined approach to managed services. The role of SAP RISE in ADM is to standardize the development and management of services with the overall objective of improve the productivity of all ADM activities. 

          SAP RISE fits into application and infra management ā€“ and includes TAM services as well. It covers application services like patching, change and release management, and the usage of pre-defined templates and libraries for development and enhancements. Infra services include basic security management, job scheduling, server/storage management, and other TAM services like event and incident management. SAP RISE with managed services can provide your business with comprehensive solutions to outsourcing IT functions. These include hosting, monitoring, and maintenance to a third-party provider outside your in-house services. To understand the true impact SAP RISE can have on your managed services, letā€™s look at the advantages and disadvantages of using SAP RISE within your ADM landscape. 

          Cost reduction, Hyperscaler services, continuous improvement, and business alignment 

          Some of the key potential benefits of SAP RISE integration with ADM services can be clubbed into the following four categories: 

          Major cost reductions: SAP RISE is subscription based, which means you pay only for the services you use. Also, outsourcing IT functions to a managed services provider will help you save on overall IT costs. It offers a range of built-in monitoring and troubleshooting tools, which help to quickly identify and resolve any potential issues that may arise. For example, this could come in the form of real-time monitoring ā€“ and the problem could even be solved before it arises ā€“ thus optimizing your overheads and costs. 

          Hyperscaler services: The usage of Hyperscalers like Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure will bring benefits like scalability and high availability (they can easily handle large amounts of data and traffic). Additionally, they offer cost effectiveness benefits here, as you can use pay-as-you-go pricing models. 

          Continuous improvement: SAP RISE can lead to a host of different continuous improvement opportunities. SAP Basis tasks such as installation, configuration, monitoring, and managing SAP systems can be outsourced to SAP. This will bring continuous improvement within the process through standardization and automation, as you donā€™t need to manually apply patches or updates. SAP RISE is built upon a Cloud platform can easily integrate with wide range of other services and applications when designed as a ā€œplug and playā€ solution. This user-friendly interface will help remove any lethargy from the integration process with SAP RISE APIs. 

          Heightened business alignment: SAP RISE has a wide range of templates and libraries, which help in customizing the development and enhancement of applications ā€“ faster and with more efficiency. This improves the response time to changing markets and corresponding business requirements through heightened alignment.  

          What to watch out for: Integration with other systems, dependency on SAP, pricing, and connectivity issues 

          There are also other business advantages like Business SLA management, vendor management, and ease of contracts, etc. But to understand the full impact of SAP RISE on ADM, we need to be aware of some of the disadvantages as well ā€“ especially from ADM perspective. 

          Integration with other systems: Weā€™ve talked about seamless integration with third party apps ā€“ but this also removes the ease of doing business. For example, for any bank integration, instead of ā€œpick and shiftā€ (i.e., creating an XML file and keeping it on the server for a third party to pick it up), we need to have integration with all third parties that need this banking information. This can be tedious and costly. 

          Dependency on SAP: Many times, with SAP RISE, Basis is completely done by SAP, which means you are dependent on SAP for all Basis-related activities. While this does bring standardization as pointed out earlier, it also brings dependency. 

          Pricing can be a problem: For ad hoc and ā€œnon-standardā€ Basis requirements, there is a separate additional charge from SAP, which earlier would have been part of routine activities done by an in-house team (e.g., taking a copy of production to pre-production). 

          Connectivity issues: SAP RISE is cloud-based, so it requires a stable internet connection to function seamlessly. This can be a problem if some operations are in remote areas with limited internet bandwidth. 

          RISE with SAP isnā€™t about subscription licenses alone ā€“ it is about developing an optimal target operating mode. Bringing SAP RISE to ADM services will lead to more accountability. A big success factor hear is the ability to articulate clear RACI needs between SAP, Cloud provider, and client. This will streamline the process. SAP RISE within the future of ADM will continue to evolve with more and more integration with other SAP offerings in the context of SAP S/4HANA, which will help businesses take advantage of the latest and greatest solutions that SAP has to offer. 

          I hope you have a better understanding of how SAP RISE can help your ADM ecosystem on your journey to becoming an intelligent enterprise with its wide catalogue of services. In my next blog, Iā€™ll cover the broad benefits described earlier in much more detail to show you how SAP RISE can ensure rapid business outcomes and speed up your transformation journey.  

          But in the meantime, you can explore our broader PoV on the best approach for utilizing the latest changes within the SAP product suite. You can also visit us here to learn more about how we can help you take advantage of everything SAP RISE has to offer. And to talk in more detail, you can reach out to me at: himanshu.ambani@capgemini.com 

          Author

          Himanshu Ambani

          Expert in Application Management Services, SAP
          As the first certified SAP L3 ADM architect from ADMnext, I specialize in crafting ADM solutions for multi-tower deals to transform client IT estates and help them succeed in their growth ambitions. Iā€™m a seasoned SAP practitioner with 25+ years of rich experience ā€“ focusing on delivering customer delight and driving ADM growth.
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            /pt-en/insights/expert-perspectives/the-potential-impact-of-sap-rise-on-your-adm-services-can-be-big-but-knowing-exactly-how-to-harness-it-is-massive/feed/ 0 521271
            AI is useless without context /pt-en/insights/expert-perspectives/ai-is-useless-without-context/ Mon, 08 May 2023 12:20:00 +0000 /?p=950301

            ai is useless without context

            Robert Engels
            May 8, 2023

            During my career in artificial intelligence I have been through the developing, improving, applying and fine-tuning of AI algorithms many, many times. At a specific point of time it become clear to me that the algorithms alone will never be able to solve your problem or use case other than in a lab-setting.

            The reason? Context. AI models put into work in the real world have no possibility to relate to all possibilities across all dimensions in a real-world setting.

            So I started to work on context for AI. First with explicit modeling of context using rules (the if-this-than-that kind of things). That did not work to well (too much work, I would say). So we aimed at describing the world and offering that as context. From the early 2000s I worked on Knowledge Graphs and their standards (and I still love them). They enabled modeling knowledge, but also flexibility by logical reasoning and inferencing, finding inconsistencies in our world and much more. But they are not the final or only answer either (as nothing is, I guess). So when we started to work with deep learning we thought part of the quest was solved. But it did not really work either. In real-world scenarios the AI models we made failed hopelessly at unexpected and unwanted moments. Why? They failed on context. Again.

            And so came ChatGPT. Featuring a model which we had seen (failing) before, becoming racist after only a few hours in the real-world. But now with a wrapper that actually made it workā€¦. much better! And more reliable. Still not perfect, but hey, given the previous attempts: great improvements!

            And what was the trick, why did it work this time? The layer that was added by OpenAI was a genius strike: it added a context-layer, able to interpret what was happening, able to stop unwanted outcomes to a large extend and thus enabling the AI Model to work in the real-world.

            We are not there yet, also this is not enough. But all the great work that has been done last years, on the graph tech, on deep learning, on transformer models and, not in the least, this first actually working context-layer, make me very optimistic that we can look ahead with confidence and trust. Still a lot of work to do, but the basics for a great future with AI seem to fall in place.

            Next thing to add to the equation? LetĀ“s rock and allow these models to use the context awareness in order to solve the parts that language models cannot do: the knowledge parts: factuality, causality, planning, maths, physics etc. First approaches popped up already, I cannot wait to see more integration of it all!

            Meet the author

            Robert Engels

            CTO ĪŚŃ»“«Ć½ & Data North-Central Europe
            Robert is an innovation lead and a thought leader in several sectors and regions, with a basis in his role of Chief Technology Officer for Northern and Central Europe in our ĪŚŃ»“«Ć½ & Data Global Business Line. Based in Norway, he is a known lecturer, public speaker, and panel moderator. Robert holds a PhD in artificial intelligence from the Technical University in Karlsruhe, Germany.
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              Seminar summary: sustainable product design – the time is now /pt-en/insights/expert-perspectives/seminar-summary-sustainable-product-design-the-time-is-now/ /pt-en/insights/expert-perspectives/seminar-summary-sustainable-product-design-the-time-is-now/#respond Wed, 26 Apr 2023 12:46:45 +0000 /pt-en/?p=520274

              Seminar summary: sustainable product design – the time is now

              Elmeri Mehtomaa
              26 Apr 2023

              expect sustainability investments to produce improved business results in the next five years. But where should those investments be directed? Our recent study shows that early design choices account for 80% of the environmental impact of products.

              On Friday, 31st March 2023, a group of senior sustainability professionals gathered in Helsinki to discuss the challenges and opportunities of sustainable product design.

              Speakers from Nokia, Konecranes, Cargotec, Metso Outotec, IBM and ĪŚŃ»“«Ć½ shared their insights with the audience on the successes theyā€™ve experienced and how they approached the problems they faced.

              Weā€™ve rounded up the main points from each part of the seminar so you can also share in their informed wisdom.

              Read on, or jump ahead to the section of most interest:

              1. How Technology Is Enabling Sustainable Product Development
              2. Model-based Systems Engineering For Sustainable Development
              3. The key takeaways from the ā€œChallenges and benefits of sustainable product designā€ panel discussion

              How technology is enabling sustainable product development

              Christophe Telep, a Senior Product Manager at IBM Engineering, introduced us to research that collated data from over 3,000 CEOs across 28 industries and more than 40 countries on practical pathways to transformational sustainability.

              The sheer importance of how sustainability is viewed in the C-suite can be seen in that it was the highest ranked answer to the question, ā€œWhat are the greatest challenges for your organization over the next 2ā€“3 years?ā€. When you have that level of focus on an issue, you can expect significant backing across industries to find and implement solutions.

              The message was clear. Sustainability will be a leading boardroom topic at some of the biggest companies around the world for the foreseeable future, which puts pressure on product development teams to address these issues. For maximum impact, sustainability should be placed at the center of product design, where it also supports a systemic change in a company’s approach to sustainability. The question is, what can be done?

              ā€œAn estimated 80 percent of environmental impacts associated with products result from decisions made at design stage. For truly systemic change to occur, sustainability must be central to product design decisions. ā€œ 

              ā€“ ĪŚŃ»“«Ć½ Research Institute, Rethink: Why Sustainable Product Design Is The Need Of The Hour 

              IBM has identified five strategic themes that underpin sustainable engineering transformation:

              • Strategic reuse
              • Scaled agile across organizations
              • Models for functional and domain engineering
              • Digital threads for quality and efficiency
              • Streamlined compliance

              They believe successful transformation is led by working with an ecosystem of experts across different disciplines.

              Model-based systems engineering for sustainable development

              Model-based systems engineering (MBSE) is the formalized application of modeling to support system requirements, design, analysis, verification and validation activities beginning in the conceptual design phase and continuing throughout development and later life cycle phases.

              It uses models instead of documents as the main artifacts of system development to reduce inconsistencies between specification, design, build, and validation.

              The challenges in adopting MBSE can be put into three groups: people, process and technology.

              The people group covers the cultural aspects, like resistance to change, skills or management buy-in. Process refers to the need for a common MBSE approach across the organisation, along with the governance and maintenance of that. Technology is about having the right tools and infrastructure in place and keeping them consistent and updated.

              This is where ĪŚŃ»“«Ć½ā€™s expertise can be of significant value. With over 4,500 experts in system engineering and an MBSE ecosystem, labs, deployment approach and academy in place, all the challenges can be met.

              ĪŚŃ»“«Ć½ has successfully deployed MBSE methodology to create environmental value for companies like Airbus and EcoPlex. Taking the Airbus example, he projects delivered on these objectives:

              • Definition of the methodology
                • Definition of the sustainability value and links with other values
                • System model embedding these values
                • Connection between MBSE & LCA models
                • Reference environmental assessment
                • Contributions of enabling systems to environmental assessment
                • Architecture Principles
                • Uncertainties management
              • Deployment with 2 cases: Assisted bike + transposition in the aeronautic domain through realistic data

              MBSE can be a key brick in building your sustainability structures and processes, and ĪŚŃ»“«Ć½ is able to guide you to success with it.

              The key takeaways from the ā€œChallenges and benefits of sustainable product designā€ panel discussion

              In the panel discussion, a selection of senior people from industry leading companies discussed their experiences with sustainable product design.

              Those sharing their insights were:

              • Jonni Ampuja, Senior Specification Engineer at Nokia
              • PƤivi Koivisto, Vice President, Sustainability at Cargotec
              • Anniina Virta-Toikka, Head of Sustainability at Konecranes
              • Rashmi Kasat Majakorpi, Vice President, Head of Digital Technologies at Metso Outotec

              Here are some of the key takeaways from the discussion.

              Market demand seems to be the biggest driver, as customers rely on companies to do things in a sustainable manner. One way to tackle this is automation in the product design life cycles, as it helps speed things up so it is done more effectively.

              Management in many large companies are also driving the adoption of more sustainable approaches because they can see the business opportunity there.

              When products have a long lifespan and technology is always developing, the products have to be modular so they can be modernized in a proper manner. However, depending on the industry, the challenge to be sustainable can be significant.

              Also, the challenge can often be related to making sustainability a part of everyday operations and decision-making. The key is having sustainability in the company strategy, and closely following KPIs related to it.

              In many cases, a big challenge can also be data and materials related to sustainability. The data is not necessarily yet where it should be, and many large companies are hesitant to share it ā€” it could even be years before it becomes the norm.

              Also, more sustainable materials often cost more, and if you were to create the most sustainable option at a higher price, would customers be ready to buy it?

              Thus, the key is to understand the intersection between cost and market readiness ā€” which also comes back to data.

              While there are still challenges and hiccups related to sustainability initiatives at organizations, an important point in the discussion was that sustainability is a must today, not just a nice-to-have. Companies simply need to adapt and find ways to embed sustainability into their operations.

              A positive trend already seems to be that employee engagement regarding sustainability has really increased. Many people want to find out about a companyā€™s sustainability initiatives even during the recruitment process.

              Itā€™s also noteworthy that sustainable product design is an increasing and profitable business that also reduces the carbon footprint of companies. In the future, it can easily be an extra revenue stream for many organizations ā€” which would, in turn, make it a win for both sustainability and profits.

              The key next steps for sustainable product development and design are training people and raising awareness. It isnā€™t only about using recycled materials, but how you make the entire industry more sustainable.

              The topic of sustainable product design will thus surely continue to increase in importance at both strategic and individual levels within companies across multiple industries.

              Author

              Elmeri Mehtomaa

              Junior PLM Consultant

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