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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

3) How do we get started, when, who will be involved, and what are the targeted benefits, results, outcomes, and consequences (including risks)? Those F’s are: Fragility, Friction, and FUD (Fear, Uncertainty, Doubt). That is: (1) What is it you want to do and where does it fit within the context of your organization? (2)

Strategy 290
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5 Types of Costly Data Waste and How to Avoid Them

CIO Business Intelligence

Turns out, exercise equipment doesn’t provide many benefits when it goes unused. Lowering the entry cost by re-using data and infrastructure already in place for other projects makes trying many different approaches feasible. Lack of annotation with the right metadata is a contributing factor. You have data but don’t use it.

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Implementing Data Governance in the Manufacturing Industry

Alation

With so much economic uncertainty, coupled with the unrelenting advance of “Industry 4.0” What are the benefits of data governance in manufacturing? Lucy and Ethel could have benefited from a data catalog. Every company is a technology company. What are the data challenges facing manufacturers? Ineffective monitoring systems.