target audience: TECH SUPPLIER  Publication date: Nov 2023 - Document type: Market Presentation - Doc  Document number: # US51360123

Organizations on the Path of Generative AI Implementation: Opportunity for Application Platform Vendors to Become a Strategic Partner

By: 

  • Brijesh Kumar
  • Lara Greden Loading

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  • 18 slides


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Abstract


This IDC Market Presentation provides an overview of GenAI market disruption and the implications on application development and deployment, particularly the implications for adoption of application platforms. It draws on insights from IDC's Global GenAI Awareness, Readiness, Commitment (ARC) Survey to investigate how IT and business leaders in enterprises around the world are assessing GenAI's potential impacts on their organizations in the next 18 months. It explores enterprise leaders' GenAI road map plans as well as the potential challenges and risks that GenAI poses for organizations.

In 2023, a new chapter of the digital business era started: AI everywhere. The dramatic increase in awareness of generative AI triggered the dawn of this new chapter because it promises to drastically reduce the time and costs associated with a wide range of customer- and employee-facing use cases linked to automation and intelligence. This new chapter is changing our relationship with content as well as how we extract value from structured and unstructured data.

Application platforms must simultaneously support AI/ML model life cycles and software development life cycles, including deployment in multicloud environments, on premises, and edge, to help organizations realize efficiency and security and developer productivity. With technology sprawl in building intelligent applications, IDC believes the imperative is raised higher to have platform engineers work with vendor supplied application platforms instead of bearing the full responsibility of threading together a vast set of open source software and custom code.

IDC sees containers/Kubernetes as the preferred technology underpinning application platform and platform engineering approaches. This is followed closely by serverless, and in some cases, container/Kubernetes are combined with serverless approaches. Server-side Wasm is also coming on the scene, and though it's still in the early days, the pace of development and activity in the open source community is progressing rapidly, including to serve AI/ML/GenAI use cases.

No vendor can go it alone, and IDC research shows that vendors are partnering to provide end-to-end application platforms for building intelligent applications.



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