article thumbnail

It’s 2025. Are your data strategies strong enough to de-risk AI adoption?

CIO Business Intelligence

If 2023 was the year of AI discovery and 2024 was that of AI experimentation, then 2025 will be the year that organisations seek to maximise AI-driven efficiencies and leverage AI for competitive advantage. Primary among these is the need to ensure the data that will power their AI strategies is fit for purpose.

Risk 111
article thumbnail

Practical Skills for The AI Product Manager

O'Reilly on Data

AI PMs should enter feature development and experimentation phases only after deciding what problem they want to solve as precisely as possible, and placing the problem into one of these categories. Experimentation: It’s just not possible to create a product by building, evaluating, and deploying a single model.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Digital transformation 2025: What’s in, what’s out

CIO Business Intelligence

Driving a curious, collaborative, and experimental culture is important to driving change management programs, but theres evidence of a backlash as DEI initiatives have been under attack , and several large enterprises ended remote work over the past two years.

article thumbnail

Experimentation in Data Science

TDAN

Modern business is all about data, and when it comes to increasing your advantage over competitors, there is nothing like experimentation. Experiments in data science are the future of big data. Already, data scientists are making big leaps forward. Innovations can now win the future.

article thumbnail

Where CIOs should place their 2025 AI bets

CIO Business Intelligence

Why should CIOs bet on unifying their data and AI practices? It created fragmented practices in the interest of experimentation, rapid learning, and widespread adoption and it paid back productivity dividends in many areas. In 2024, departments and teams experimented with gen AI tools tied to their workflows and operating metrics.

article thumbnail

Closer Than You Think: Data Strategies Across Your Company

Sisense

For this month’s episode of our Radical Transparency podcast , I got on the phone with Charles Holive, Managing Director for Sisense’s Strategy Consulting Business, to discuss the way the changing role of data is forcing companies to evolve in the modern business environment. Data Strategies for the Uninitiated.

article thumbnail

How We Teach The Leaders of Tomorrow To Be Curious, Ask Questions and Not Be Afraid To Fail Fast To Learn Fast

Rocket-Powered Data Science

Be sure to listen to the full recording of our lively conversation, which covered Data Literacy, Data Strategy, Data Leadership, and more. The data age has been marked by numerous “hype cycles.” How To Build A Successful Enterprise Data Strategy. The Age of Hype Cycles.