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TDWI Upside - Where Data Means Business

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.

How Quantum Computing Will Revolutionize Cloud Analytics

The shift from classical to quantum analytics promises unprecedented processing power and speed. This opens up new possibilities, from enhancing security with quantum encryption to deeper insights delivered faster.

The Question Everyone Should Ask Before Deploying AI

We need AI to help us make better decisions rather than speed up the impact of our bad ones.

Best Practices to Ensure Data Transformation Success

Prophecy’s founder and CEO Raj Bains explains how organizations can overcome the challenges to achieving enterprise-wide data transformation.

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