Remove Experimentation Remove Technology Remove Testing Remove Uncertainty
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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. Another perspective on technology-induced business disruption (including ChatGPT deployments) is to consider the three F’s that affect (and can potentially derail) such projects.

Strategy 290
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Lessons from the field: How Generative AI is shaping software development in 2023

CIO Business Intelligence

Members of VMware’s Tanzu Vanguard community, who are expert practitioners at companies across different industries, provided their perspectives on how technologies such as Generative AI are impacting software development and technology decisions. Therefore, the technology will only be as good as the data provided.

Software 119
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Belcorp reimagines R&D with AI

CIO Business Intelligence

These circumstances have induced uncertainty across our entire business value chain,” says Venkat Gopalan, chief digital, data and technology officer, Belcorp. “As That, in turn, led to a slew of manual processes to make descriptive analysis of the test results. This allowed us to derive insights more easily.”

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Why CEOs should test big digital business ideas in tiny countries.

Mark Raskino

What works in information technology inside Iceland is going to work in China, the United States and elsewhere. He was talking about something we call the ‘compound uncertainty’ that must be navigated when we want to test and introduce a real breakthrough digital business idea. You can almost look at it as a small laboratory.

Testing 53
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What you need to know about product management for AI

O'Reilly on Data

Machine learning adds uncertainty. This has serious implications for software testing, versioning, deployment, and other core development processes. Underneath this uncertainty lies further uncertainty in the development process itself. Models within AI products change the same world they try to predict.

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CIOs press ahead for gen AI edge — despite misgivings

CIO Business Intelligence

If anything, 2023 has proved to be a year of reckoning for businesses, and IT leaders in particular, as they attempt to come to grips with the disruptive potential of this technology — just as debates over the best path forward for AI have accelerated and regulatory uncertainty has cast a longer shadow over its outlook in the wake of these events.

Risk 141
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20 issues shaping generative AI strategies today

CIO Business Intelligence

Some companies have lifted their bans and are allowing limited use of the technology; others have not. 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.