Upside


Is Your Data AI-Ready?

The path to AI-driven innovation is paved with data readiness. These three indicators provide a quick data readiness assessment.

Artificial Intelligence Versus the Data Engineer

Does generative AI change the role of the data engineer? As the demand for AI skyrockets, so does the demand for data and data engineering.

Digital Transformation: Making Information Work for You

Digital transformation efforts help strategic analytics teams at all types of businesses leverage the information generated to improve business results.

Three Signs You Might Need a Data Fabric

A data fabric can help you access all your data and reach actionable insights. Here are three indicators that a data fabric may benefit your enterprise.

AI Readiness with Fern Halper

TDWI’s Fern Halper explains what enterprises need to do to prepare for AI and introduces initial results from TDWI’s AI Readiness Assessment.

Our Cloud Migration Story: Challenges Faced and Lessons Learned

Moving to the cloud brings numerous benefits, but there are challenges you must overcome. Here is one company’s experience.

Q&A: Enhancing Analytics with AI

Machine learning, large language models, and AI are having an impact on analytics. Case in point: Heather H. Wilson, CEO of CLARA Analytics, explains how her company is putting AI to work in the insurance industry.

Q&A: AI’s Place in a Data-Driven Enterprise

AI is making BI and analytics more accessible beyond data analysts. MicroStrategy’s Saurabh Abhyankar, executive vice president and chief product officer, explains how.

Three Areas Where AI Can Make a Huge Difference Without Significant Job Risk

As we roll out AI, we are focusing too much on productivity and not enough on the things that truly need fixing.