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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

Generative AI is the biggest and hottest trend in AI (Artificial Intelligence) at the start of 2023. Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. Those F’s are: Fragility, Friction, and FUD (Fear, Uncertainty, Doubt).

Strategy 289
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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). But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools.

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Bringing an AI Product to Market

O'Reilly on Data

The Core Responsibilities of the AI Product Manager. Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle.

Marketing 362
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What LinkedIn learned leveraging LLMs for its billion users

CIO Business Intelligence

During the summer of 2023, at the height of the first wave of interest in generative AI, LinkedIn began to wonder whether matching candidates with employers and making feeds more useful would be better served with the help of large language models (LLMs). Those first waves of hype around generative AI didn’t help.

IT 126
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The last thing most CIOs need is an AI plan

CIO Business Intelligence

To succeed with AI, your rollout could benefit from a rear-view mirror. Which is AI and its exploding portfolio of capabilities. Yeah, but judging from the planless successes of the PC and internet, an AI plan is just exactly what we shouldn’t waste our time on. 1: “Define the problem you need AI to solve.”

ROI 130
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How to Launch Your AI Projects from Pilot to Production – and Ensure Success

CIO Business Intelligence

CIOs seeking big wins in high business-impacting areas where there’s significant room to improve performance should review their data science, machine learning (ML), and AI projects. That same study found 94% of respondents say AI is critical to success over the next five years. Are data science teams set up for success?

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Rising Tide Rents and Robber Baron Rents

O'Reilly on Data

Economists Mariana Mazzucato and Josh Ryan-Collins write , “If the reward accruing to an actor is larger than their contribution to value creation, then the difference may be defined as rent. Why is it now subject to the same kind of antitrust complaints faced by Microsoft, once the “evil empire” of the previous generation of computing?