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TDWI Articles

What Generative AI Means for Data Jobs

The technology-will-steal-your-job narrative has been around for at least 200 years. Some roles do disappear, but most simply evolve, adapt, and merge.

The Unfortunate Decision Process That Is Leading to AI Deployment Failures

When implementing a new technology, you need a deep understanding of the problem you want it to solve.

Data Platforms for AI and ML with Richard Winter

Independent consultant Richard Winter explains what a data platform is, the role of generative AI, and how to protect data from public exposure in chatbots.

Building a Modern Data Management Strategy with Dr. Joshua Stephens

Dr. Joshua Stevens examines the key tasks in building a modern data management strategy, the mistakes enterprises make, and how generative AI figures into your strategy.

Building an AI Strategy with Caroline Carruthers

Before jumping into AI, it’s important to have a strategy. You need to know what problem you are trying to solve, where you are now, and where you want to go. The CEO of global data consultancy Carruthers and Jackson explains what’s involved in building this strategy and where AI -- not just generative AI -- is headed.

Q&A: Can Neuro-Symbolic AI Solve AI’s Weaknesses?

Neuro-symbolic AI integrates several technologies to let enterprises efficiently solve complex problems and queries demanding reasoning skills despite having limited data. Dr. Jans Aasman, CEO of Franz, Inc., explains the benefits, downsides, and use cases of neuro-symbolic AI as well as how to know it’s time to consider the technology for your enterprise.

The Next Thing to Look For in AI Vendors: Interoperation

AI vendors that interoperate and partner well should significantly outperform their competitors.

Data Stories: Functions and Risks of Generative AI

How large language models work, fake AI charts, and bias in the model.

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