Remove Experimentation Remove Measurement Remove Strategy Remove Testing
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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? encouraging and rewarding) a culture of experimentation across the organization.

Strategy 289
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Bringing an AI Product to Market

O'Reilly on Data

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Without clarity in metrics, it’s impossible to do meaningful experimentation. When a measure becomes a target, it ceases to be a good measure ( Goodhart’s Law ).

Marketing 362
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Do You Need a DataOps Dojo?

DataKitchen

Centralizing analytics helps the organization standardize enterprise-wide measurements and metrics. Develop/execute regression testing . Test data management and other functions provided ‘as a service’ . Central DataOps process measurement function with reports. Agile ticketing/Kanban tools. Deploy to production.

Metrics 243
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Robust Experimentation and Testing | Reasons for Failure!

Occam's Razor

Since you're reading a blog on advanced analytics, I'm going to assume that you have been exposed to the magical and amazing awesomeness of experimentation and testing. And yet, chances are you really don’t know anyone directly who uses experimentation as a part of their regular business practice. Wah wah wah waaah.

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10 digital transformation roadblocks — and 5 tips for overcoming them

CIO Business Intelligence

Transformational leaders must ensure their organizations have the expertise to integrate new technologies effectively and the follow-through to test and troubleshoot thoroughly before going live. Digital Transformation, IT Leadership, IT Strategy

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Generative AI’s change management challenge

CIO Business Intelligence

And while 68% of leaders believe their companies have implemented adequate measures to ensure responsible use of AI, only 29% of their frontline employees feel that way. With familiarity with generative AI being a key factor for its successful adoption, employees must get a chance to test it themselves.

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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

Fractal’s recommendation is to take an incremental, test and learn approach to analytics to fully demonstrate the program value before making larger capital investments. A properly set framework will ensure quality, timeliness, scalability, consistency, and industrialization in measuring and driving the return on investment.

Insurance 250