Remove Management Remove Strategy Remove Uncertainty
article thumbnail

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.

article thumbnail

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
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Build a strong data foundation for AI-driven business growth

CIO Business Intelligence

Data silos, lack of standardization, and uncertainty over compliance with privacy regulations can limit accessibility and compromise data quality, but modern data management can overcome those challenges. The goal of modern data management is not to make data pristine.

article thumbnail

Navigate AI market uncertainty by bringing AI to your data

CIO Business Intelligence

While hyperscalers would prefer you entrust your data to them again the concerns about runaway costs are compounded by uncertainty about models, tools, and the associated risks of inputting corporate data into their black boxes. As a result, organizations migrated workloads to on-premises estates, hybrid environments, and the edge.

article thumbnail

IT Leadership Agrees AI is Here, but Now What?

IT leaders are experiencing rapid evolution in AI amid sustained investment uncertainty. This whitepaper offers real strategies to manage risks and position your organization for success. As AI evolves, enhanced cybersecurity and hiring challenges grow.

article thumbnail

Building Tax Planning into Enterprise Risk Management Strategies

Jet Global

Tax planning is playing an increasingly important part in corporates’ enterprise resource management (ERM) strategies, driven by the many uncertainties created by political, economic, and pandemic-related trends. Reputational management is another driver for boards to build tax planning into ERM strategies.

article thumbnail

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