Remove Machine Learning 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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Build a strong data foundation for AI-driven business growth

CIO Business Intelligence

In the quest to reach the full potential of artificial intelligence (AI) and machine learning (ML), there’s no substitute for readily accessible, high-quality data. It’s impossible,” says Shadi Shahin, Vice President of Product Strategy at SAS. If the data volume is insufficient, it’s impossible to build robust ML algorithms.

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What you need to know about product management for AI

O'Reilly on Data

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). AI products are automated systems that collect and learn from data to make user-facing decisions. We won’t go into the mathematics or engineering of modern machine learning here.

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Highlights from the Strata Data Conference in San Francisco 2019

O'Reilly on Data

Watch highlights from expert talks covering AI, machine learning, data analytics, and more. Streamlining your data assets: A strategy for the journey to AI. Watch " Streamlining your data assets: A strategy for the journey to AI.". Forecasting uncertainty at Airbnb. Watch " Forecasting uncertainty at Airbnb.".

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Real-time Data, Machine Learning, and Results: The Evidence Mounts

CIO Business Intelligence

By Bryan Kirschner, Vice President, Strategy at DataStax. From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. more machine learning use casesacross the company.

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Marsh McLennan IT reorg lays foundation for gen AI

CIO Business Intelligence

Paul Beswick, CIO of Marsh McLennan, served as a general strategy consultant for most of his 23 years at the firm but was tapped in 2019 to relaunch the risk, insurance, and consulting services powerhouse’s global digital practice. But the CIO had several key objectives to meet before launching the transformation.

IT 122
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How to Set AI Goals

O'Reilly on Data

Technical competence results in reduced risk and uncertainty. As AI maturity increases, a non-incremental, holistic, and organization-wide AI vision and strategy should be created to achieve hierarchically-aligned AI goals of varying granularity—goals that drive all AI initiatives and development. Conclusion.