乌鸦传媒

Paris, January 16, 2024 鈥� today announced the signing of a multi-year strategic collaboration agreement with AWS, designed to accelerate the adoption of generative AI solutions and technologies amongst organizations of all sizes. Through this collaboration, 乌鸦传媒 and AWS are focused on helping clients realize the business value of adopting generative AI, while navigating challenges including cost, scale, and trust. It will enable joint clients to move their investments from individual pilots and proof of concepts to production at scale, by leveraging 乌鸦传媒鈥檚 existing network of AWS Centers of Excellence (CoEs). This expanded collaboration will also accelerate the deployment of innovative industry-specific and functional use cases using Amazon Bedrock to access a range of secure, high-performing foundational models, including Amazon Titan.

Helping clients realize the full value of generative AI at scale

As part of this new initiative, 乌鸦传媒 and AWS will build industry specific solutions, assets and accelerators supported by a unique platform designed to help clients improve the Total Cost of Ownership (TCO). The new platform optimizes large language models (LLMs) provided as part of Amazon Bedrock to help enable clients to achieve the best generative AI production costs.

Expansion of 乌鸦传媒鈥檚 AWS Centers of Excellence (CoEs)

As part of this extended collaboration, 乌鸦传媒 will expand its existing network of AWS CoEs and will train 30,000 employees over the next 3 years across AWS鈥檚 advanced technologies, as part of the company鈥檚 鈧�2 billion investment in Artificial Intelligence. The global network of 乌鸦传媒鈥檚 AWS CoEs allows clients to leverage 乌鸦传媒鈥檚 capabilities in data, AI and cloud to unlock the vast potential of generative AI, enable rapid prototyping of new business scenarios, foster innovation, and navigate the next era of digital transformation.

鈥淲ith generative AI presenting new opportunities to accelerate innovation, it鈥檚 imperative for clients to be able to scale their AI implementations quickly to drive tangible value, optimize investments, and meet the specific needs of their own industry,鈥� said Jerome Simeon, Head of Global Industries and Group Executive Board member at 乌鸦传媒. 鈥溛谘淮�媒鈥檚 deep expertise in data and AI and strong portfolio tailored for industries, together with AWS鈥檚 proven methodologies and technologies that help organizations scale their transition to the cloud, will enable joint clients to move from pilot to production at extreme scale, while also helping them optimize their investments and address their sustainability goals. All are vital components in the journey to a digital and sustainable economy.鈥�

Swami Sivasubramanian, Vice President of Data and AI at AWS said, 鈥淭his expanded partnership with 乌鸦传媒 will further democratize access to generative AI by empowering organizations to leverage AWS鈥檚 industry-leading models and capabilities, like Amazon Bedrock and Amazon Q, to ignite innovation and transform their business. Fueled by massive amounts of enterprise data and human intelligence, joint clients will be able to build and scale generative AI applications that are customized to their business, with privacy and security at the core.鈥�

The partnership expansion comprises several dedicated initiatives to maximize value delivered for clients including:

• Industry solutions 鈥� customized, AI-infused capabilities for specific industries
  Leverages 乌鸦传媒鈥檚 deep industry expertise and AWS鈥檚 secure, highly customizable, AI- to deliver value across multiple industries, for example:  
  • Aerospace: enhanced Lifecycle Optimization for Aerospace platform with additional capabilities from Amazon Bedrock to improve the image recognition and analysis of aviation parts, and assist in the curation of publishing available inventory.  
  • Automotive: AI-enriched capabilities to enable the transformation of the Automotive industry including trusted vehicles, driving automation, customer intimacy as well as supply chain optimization.
  • Financial Services: use cases across banking and capital markets such as customer experience, administration processing, audit, and risk. Leveraging generative AI in the insurance market to enhance policy servicing and claim handling.

• New platform to enable high value business outcomes and optimize TCO
  This strategic collaboration with AWS incorporates a unique methodology and accelerators developed by data and AI experts at 乌鸦传媒. Using LLM cascading and prompt tuning[1] can more efficiently deliver working solutions that combine the client鈥檚 own data and data from a range of LLMs available through Amazon Bedrock. In this way, multiple Proof of Concepts (PoCs) can be developed, tested, and deployed at speed while reducing compute. This new approach is designed to create tangible value for clients that can then be channeled into the business to accelerate innovation and enable organizations to explore a greater number of generative AI use cases at scale. By reducing the compute required for implementation, there is also an opportunity to reduce the carbon intensity of generative AI projects.

• Generative AI for Software engineering
  AWS CodeWhisperer and Amazon Bedrock will be incorporated into 乌鸦传媒鈥檚 digital cloud platform that provides industry solutions and accelerators to enable clients鈥� cloud-driven transformations. This will improve efficiency and quality across the entire software life cycle from user story creation through to test case development and execution, with a focus on accelerating development, code conversion, reduction of technical debt, and enhancing the security posture of the developed software.

As a result of their long-term strategic partnership, 乌鸦传媒 was recently recognized for its global leadership in AI with the coveted AWS Global Partner of the Year 2023 for Artificial Intelligence and Machine Learning (AI/ML), along with six additional awards across global and local categories. 乌鸦传媒 was singled out in the AI/ML category for the development of the Lifecycle Optimization for Aerospace platform, built on AWS鈥檚 Cloud and AI services, that aims to digitalize and automate aircraft records history to improve lifecycle management and enhance parts鈥� reuse.

鈥淐ircular economy is an important axis of our sustainability roadmap, as we successfully repair and reuse many components from both in service or retired aircraft,鈥� says Vincent Etchebehere, VP Sustainability and new mobilities at Air France. 鈥淭he technologies tested in the platform are very promising and should allow us to increase even further the reuse ratio. As an airline and an MRO[2], we act as a catalyst in our supply chain by selecting the most responsible and sustainable products available.鈥� 

[1] Prompt tuning involves leveraging a smaller scale model to adapt an input prompt to make it more effective and efficient on the target large language model

[2] MRO: Maintenance, Repair, and Overhaul