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TDWI Upside - Where Data Means Business

What’s Coming in Analytics (And How We’ll Get There)

From AI/ML and the composable enterprise to advances in quantum computing, there are plenty of changes ahead for analytics. Here are particular areas to watch.

Navigating the New Era with Generative AI Literacy

Data literacy has been a strong focus among data-savvy organizations. However, with the advent of advanced generative AI tools, this focus is quickly changing. Learn the components you should be focused on in the new era of generative AI literacy.

New York Times Versus Microsoft: The Legal Status of Your AI Training Set

Watch out! Your AI solution should guarantee that you won’t be responsible if any legal claims are made about its training data.

Data Digest: AI Use and Improvement

How SMBs use AI, the extent of hallucination problems with generative AI, and technologies that might help AI be more trustworthy.

The Race to AI Implementation: 2024 and Beyond

AI can improve performance and productivity, but choosing the right hardware vendor to support your AI is critical. Here’s what you must consider.

Prioritizing Data: Why a Solid Data Management Strategy Will Be Critical in 2024

This year, smart enterprises will see beyond hype and strategically position themselves for success by using data as a foundational asset to deliver growth, innovation, and competitive advantage.

Evolution of Data Governance with Eric Falthzik

Eric Falthzik, strategy principal director with Accenture, discusses the evolution of data governance -- including the role of data stewards, how to govern new implementations, and the role of generative AI.

The Human Factor in AI with Tamilla Triantoro

Tamilla Triantoro, associate professor of business analytics and information systems at Quinnipiac University, discusses the human factor in artificial intelligence.

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