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8 Reasons Why Digital Transformations Fail (11 CIOs Weigh In)

Alation

The future of business is digital. To remain relevant, organizations seek “ digital transformation ,” a business philosophy steeped in change and in which technology plays a heavy hand supporting business models and value propositions. Therefore, one assumes, digital transformation will always lead to success, right?

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You Don’t Have to Wait for AI, But You Should Plan Carefully!

Smarten

Create a Sandbox Environment If you are in the business of technology, you probably have a robust sandbox environment in which you can use new tools and leverage opportunities with test data to understand the value of tools like Azure OpenAI, GPT 3.x Original Post : To Use AI and GPT Now, Focus on Current State Capabilities!

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ChatGPT AI Provides Promise with Some Caveats!

Smarten

While new medical techniques and tools can take time to refine and prove, doctors often leverage experimental techniques to save lives. It does not accommodate images and its security compliance has yet to be thoroughly tested. As these techniques are refined, they enter into the mainstream and become more common place.

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7 secrets of successful digital transformations

CIO Business Intelligence

Organizations that continued full speed ahead with their digital transformation initiatives during the COVID-19 pandemic are able to ruminate on what went right and what they would have done differently, with the benefit of hindsight. CIOs and other IT leaders share seven secrets of how to get digital transformation right.

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The DX roadmap: David Rogers on driving digital transformation success

CIO Business Intelligence

Although enterprises acknowledge the importance of digital transformation in the current environment of flux, few succeed in their digital initiatives. A major reason so many digital transformation programs fail is that enterprises view them as technology problems rather than the organizational challenges they truly are.

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Next Generation Credit Decisioning with Decision Modeling

Decision Management Solutions

In the recent McKinsey article discussing designing next-generation credit-decisioning models they outlined four best practices for automated credit-decisioning models for banks as they continue their digital transformations. Digital lending based on high-performance credit-decisioning models, says McKinsey, lead to: Increased revenue.

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20 issues shaping generative AI strategies today

CIO Business Intelligence

As vendors add generative AI to their enterprise software offerings, and as employees test out the tech, CIOs must advise their colleagues on the pros and cons of gen AI’s use as well as the potential consequences of banning or limiting it. Douglas Merrill, a partner at management consulting firm McKinsey & Co.,