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The change management Informatica needed to overhaul its business model

CIO Business Intelligence

Many of our customers had already started to move their applications and it made sense they would want to transition to data management in the cloud as well. The investment thesis was we could dramatically change the value of the company by becoming a true cloud and subscription-driven company. Today, we’re a $1.6

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Generative AI’s change management challenge

CIO Business Intelligence

Although ChatGPT, the poster child for generative AI applications, only launched in November 2022, already 26% of workers say they use generative AI several times a week, while 46% have experimented with it at least once, BCG found. For many, their feelings are based on sound experience. There’s a lot of work still to be done on that score.

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Demystifying AI: A Guide to Understanding and Leveraging Artificial Intelligence

Eric D. Brown

But to harness these benefits, we must first demystify AI, peeling back the layers to understand its mechanisms, applications, and how it can be integrated into your business model for tangible results. This capability is valuable across a wide range of applications. At its core, machine learning is like educating a child.

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With generative AI, IT must deliver knowledge…not just technology

CIO Business Intelligence

The case for GenAI education as part of IT’s remit At first blush, training and educating users on how to use generative AI may seem outside the typical scope of IT, but GenAI is not a typical tech transformation. For these reasons, IT cannot discount this transformation as a rank-and-file change management exercise.

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In transition: How Kyndryl’s CIO weaned the company off IBM’s systems

CIO Business Intelligence

In any case, he says, only 13% of Kyndryl’s revenue flowed through those legacy SAP systems in IBM, with the rest going through custom mainframe applications. The choice to expand on Workday was to double down and make that the platform, collapsing all of those 60-plus different applications and leveraging that platform,” he says.

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7 sins of digital transformation

CIO Business Intelligence

Over the past few years, CIOs have focused on enabling hybrid work, driving efficiencies through automation, modernizing applications, enabling machine learning predictions, and maturing the data-driven organization. There’s often ambition to address all or most problems, but that can leave the system user behind.

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Demystifying AI: A Guide to Understanding and Leveraging Artificial Intelligence

Eric D. Brown

But to harness these benefits, we must first demystify AI, peeling back the layers to understand its mechanisms, applications, and how it can be integrated into your business model for tangible results. This capability is valuable across a wide range of applications. At its core, machine learning is like educating a child.