Remove Definition Remove Strategy 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. I suggest that the simplest business strategy starts with answering three basic questions: What? Those F’s are: Fragility, Friction, and FUD (Fear, Uncertainty, Doubt).

Strategy 290
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ChatGPT isn’t an AI strategy—but it should be a strategic tool

CIO Business Intelligence

By Bryan Kirschner, Vice President, Strategy at DataStax For all the deserved enthusiasm about the potential of generative AI, “ ChatGPT is not your AI strategy ” remains sound advice. Does that definition resonate with you? That is a real job that bosses can do and will enjoy doing, and it will help your strategy effort.

Strategy 132
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Regulatory uncertainty overshadows gen AI despite pace of adoption

CIO Business Intelligence

It’s no surprise, then, that according to a June KPMG survey, uncertainty about the regulatory environment was the top barrier to implementing gen AI. So here are some of the strategies organizations are using to deploy gen AI in the face of regulatory uncertainty.

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Why HR professionals struggle with big data

CIO Business Intelligence

This is due, on the one hand, to the uncertainty associated with handling confidential, sensitive data and, on the other hand, to a number of structural problems. A clear definition of these goals makes it possible to develop targeted HR strategies that support the corporate vision. What growth targets has the company set?

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CIOs must beware committing ‘AI washing’ themselves

CIO Business Intelligence

Moreover, confusion about the definition of AI may also lead to unintentional overhyping of AI capabilities, observers say. Gen AI can still hallucinate, even if tuned, creating a level of uncertainty when more traditional tools would be more consistent. AI washing is a new phenomenon, but it’s really just a different kind of fraud.

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Uncertainties: Statistical, Representational, Interventional

The Unofficial Google Data Science Blog

by AMIR NAJMI & MUKUND SUNDARARAJAN Data science is about decision making under uncertainty. Some of that uncertainty is the result of statistical inference, i.e., using a finite sample of observations for estimation. But there are other kinds of uncertainty, at least as important, that are not statistical in nature.

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Beyond growth: M&A as a strategic transformation enabler

CIO Business Intelligence

The next generation of M&A strategy brings emerging digital capabilities to the forefront in support of both opportunities and risk mitigation. Resource planning : Digital investments by definition address people, process, and technology in the business case.