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AI adoption accelerates as enterprise PoCs show productivity gains

CIO Business Intelligence

Some prospective projects require custom development using large language models (LLMs), but others simply require flipping a switch to turn on new AI capabilities in enterprise software. “AI That work is difficult and requires highly skilled talent, which is why many enterprises bring in a partner to help with the work.

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The year’s top 10 enterprise AI trends — so far

CIO Business Intelligence

Generative AI touches every aspect of the enterprise, and every aspect of society,” says Bret Greenstein, partner and leader of the gen AI go-to-market strategy at PricewaterhouseCoopers. Gen AI is that amplification and the world’s reaction to it is like enterprises and society reacting to the introduction of a foreign body. “We

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SharePoint Premium highlights the hard road CIOs face with generative AI

CIO Business Intelligence

It’s something completely different, and potentially interesting, except for a few fatal flaws that shed light on the hard road CIOs are in for as we enter the era of enterprise software enhanced everywhere by generative AI. The remaining 80% is unstructured: emails, documents, presentations, spreadsheets, voicemails, and so on.

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Is There such Thing as 'Completeness' in Enterprise Architecture?

Future of CIO

Enterprise Architecture typically represents ' why you do or what you know', how do you ensure you are also aware of 'What you don't know' in the process of drafting an EA blueprint. The next instant the world has changed, and so the EA has to change. EA is not about Documentation. Thus, is EA ever completed?

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3 key roles for driving digital success

CIO Business Intelligence

But digital transformation remains a vital endeavor for today’s enterprise as it is about evolving the business and operating model and not just about modernizing technologies. Product leaders are most responsible for a digital transformation initiative’s scope, priorities, and change management.

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What is data governance? Best practices for managing data assets

CIO Business Intelligence

Whereas data governance is about the roles, responsibilities, and processes for ensuring accountability for and ownership of data assets, DAMA defines data management as “an overarching term that describes the processes used to plan, specify, enable, create, acquire, maintain, use, archive, retrieve, control, and purge data.”

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The unfulfilled promise of automation: DNA matters

CIO Business Intelligence

I have been researching and thinking more deeply about how platform architectures can lead to intended or unintended consequences. Digital transformation cannot be achieved through purely tech-enabled, service-led approaches, with the promise to build autonomous enterprises with low code, flexible applications, etc.