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TDWI Upside - Where Data Means Business

4 Practical Tips to Create Value with AI

Setting realistic expectations and taking lessons from previous tech trends can help you plan for successful AI programs.

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.

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.

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.

Four Tips for Achieving Lasting ROI with a Data Lakehouse

Data lakehouses provide new data storage possibilities, but implementing them can be challenging. These four tips will help you achieve long-lasting ROI from this architecture.

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.

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