IBM Consulting & Microsoft collaborate for genAI adoption

IBM Consulting and Microsoft have collaborated to help companies accelerate their adoption of generative AI services

Today, IBM has announced it is expanding its collaboration with Microsoft to help joint clients accelerate adoption of generative AI.

With generative AI having fast become one of the biggest business trends in 2023, adopting and scaling the technology efficiently and responsibly continues to be a challenge for organisations due to its complexity. With previous research indicating that more than 60% of organisations are not ready for AI, it is anticipated that it will bring 16% growth in global annual revenue, subsequently revolutionising multiple industries.

Both companies are working to focus on helping clients implement and scale Azure OpenAI Service and provide them with the expertise and technology they need to innovate their business processes and scale generative AI effectively.

Leveraging the power of LLMs

The new IBM Consulting Azure OpenAI Service offering, available on Azure Marketplace, is a fully managed AI service that aims to allow developers and data scientists to apply powerful large language models (LLMs), including their GPT and Codex series.

As part of the new solution, enterprise customers will also have access to IBM Consulting experts, including 21,000 data, AI and experience consultants, who can help them effectively implement generative AI models to advance their business transformation.

It aims to help businesses define an adoption strategy and an initial set of specific and value-add generative AI use cases. Some of these include automating sourcing and procurement processes to drive new insights about business supply chains for greater operational efficiency and summarising financial reports

Additionally, the companies are working to streamline healthcare processes with these services. IBM Consulting is leveraging Azure OpenAI Service to offer a solution that is designed to automatically analyse complex medical records to provide nurses and doctors with a virtual assistant to help collect information from patient records. The solution aims to help decrease the time needed to process prior authorisation requests, reducing administrative burdens and improving the clinician experience. 

The responsible development of multi-model generative AI solutions

This work builds on recent momentum with IBM and Microsoft to help clients transform their businesses. IBM Consulting, which has a dedicated global practice focused on Azure Data and AI, has focused on training its consultants, who now have over 40,000 Azure certifications. 

Additionally, IBM Consulting brings expertise and capabilities to help Microsoft clients through its acquisition of Neudesic, which specialises primarily in Microsoft Azure. The company recently announced its Centre of Excellence for generative AI, which includes more than 1,000 consultants with specialised generative AI expertise ready to help accelerate its clients' business transformations with enterprise-grade AI, including technology from Microsoft, IBM and other ecosystem partners.

“Businesses are looking for responsible ways to adopt and integrate multi-model generative AI solutions that augment the work their teams are doing in areas such as creative content and code creation, content summarisation and search,” said Francesco Brenna, Global VP & Senior Partner, Microsoft Practice at IBM Consulting.

“Our work with Microsoft is another example of IBM’s open ecosystem model designed to bring value to clients while helping them responsibly build and scale generative AI across their businesses.”

“Together, Microsoft and IBM are collaborating to deliver innovative solutions that will help customers responsibly accelerate deployment of generative AI,” said Dinis Couto, GM Global Partner Solutions, Microsoft. 

“As a leader in the delivery of generative AI and data solutions, we believe that partners like IBM are critical to enabling customers successful use of generative AI to advance business transformation.”

 

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