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TDWI Upside - Where Data Means Business

Staffing, Roles, and Careers


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.

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.

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.

Generative AI Enthusiasm Versus Expertise: A Boardroom Disconnect

Members of corporate boards may overestimate their generative AI expertise and instead should be on a learning curve with the technology to ensure responsible adoption.

Entering the Age of Explainable AI

With the increasing importance being placed on ethical AI, organizations are turning more to “explainable AI” -- a set of processes and methods that allow them to understand the output of machine learning algorithms.

Case Study: Creating A Visual Dashboard of Forced Labor Around the Globe

The SAS Hackathon winner for 2023 was a group effort. Here’s how the project came about and came together, what data sources it used, who did what (and why), how the team overcame challenges, and what’s ahead for the project.

Data Digest: Data Strategy and Leadership

A framework for creating a data strategy, why business leaders must focus on data governance, and a process for consolidating and unifying your data.

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