Sovereign cloud and digital autonomy: Industry trends and what’s next

The cloud computing conversation has changed significantly over the past few years. Earlier, enterprises selected cloud platforms mainly for scalability, global reach, agility and cost flexibility. Today, those priorities remain important, but they are no longer sufficient. Governments, regulators, boards and customers are asking a deeper question: where does critical data reside, who can access…

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The mainframe knowledge gap is a modernization risk

Much of an enterprise’s most important knowledge is also the hardest to access. Decades of institutional expertise can be deeply embedded in long-running applications and carried by specialists with years of experience navigating complex systems. Modernization initiatives depend on a detailed understanding of the systems already running the business. Yet gaining that understanding can be…

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Microsoft targets Salesforce customers with AI-powered Dynamics 365 migration tool

Microsoft has introduced an AI-powered tool to help enterprises move from Salesforce to Dynamics 365 by potentially reducing some of the complexity that has traditionally made switching CRM platforms difficult, as the software giant looks to expand its CRM market share. Called Dynamics 365 Activate and currently in public preview, the tool analyzes an enterprise’s…

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IT consulting has a big AI problem

AI adoption is shaking up the big IT consulting market, with some IT leaders starting to question the need for the multi-year transformation engagements that have been large advisory firms’ bread and butter. Organizations are increasingly using AI tools to assist with large digital transformation projects such as cloud modernization and mainframe migrations, with the…

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What it really takes to be AI model independent

Artificial intelligence is still the Wild West. Every organization adopting AI is, in a sense, operating on someone else’s ranch. Models, platforms and providers are evolving rapidly, and today’s market leader may not hold that position tomorrow. At its core, model independence recognizes that AI models are becoming interchangeable tools with different strengths, rather than…

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