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Navigating Today’s Data and AI Market Uncertainty

KDnuggets

Are you choosing technologies that will stand the test of time? It’s more important than ever to think long-term about the analytics partnerships you forge. Are you choosing companies with proven track records?

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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. We’re still in the pilot phases of evaluating LLMs,” he says.

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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

Those F’s are: Fragility, Friction, and FUD (Fear, Uncertainty, Doubt). Keep it agile, with short design, develop, test, release, and feedback cycles: keep it lean, and build on incremental changes. Test early and often. Encourage and reward a Culture of Experimentation that learns from failure, “ Test, or get fired!

Strategy 289
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Improving Prediction of the Unconfirmed COVID-19 Cases

Teradata

With the lack of available tests & uncertainty around the true number of COVID-19 cases, Teradata Epidemiologist Daniel Ulatowski & Data Scientist Jack McCush hypothesize how symptomatic data & the Vantage ML Engine can be utilized to predict cases.

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Easily Build an Optimization App and Empower Your Data

Speaker: Gertjan de Lange

If the last few years have illustrated one thing, it’s that modeling techniques, forecasting strategies, and data optimization are imperative for solving complex business problems and weathering uncertainty. Discover how the AIMMS IDE allows you to analyze, build, and test a model. Don't let uncertainty drive your business.

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5 hot IT leadership trends — and 4 going cold

CIO Business Intelligence

He points to a recent observation from GitHub CEO Thomas Dohmke, who noted 40% of computer-generated code was adopted by developers beta testing its Copilot AI automated code-writing system. The test also cut programming time by 55%. “Many people believe this will increase to 80%,” Mehlkopf said. “If

IT 128
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You Can’t Regulate What You Don’t Understand

O'Reilly on Data

And they are stress testing and “ red teaming ” them to uncover vulnerabilities. But exactly how this stress testing, post processing, and hardening works—or doesn’t—is mostly invisible to regulators. The companies are collecting massive amounts of data on how people use these systems.

Metrics 289