TDWI Articles

Contributor: Fern Halper

Fern Halper, Ph.D., is vice president and senior director of TDWI Research for advanced analytics. She is well known in the analytics community, having been published hundreds of times on data mining and information technology over the past 20 years. Halper is also co-author of several Dummies books on cloud computing and big data. She focuses on advanced analytics, including predictive analytics, text and social media analysis, machine-learning, AI, cognitive computing and big data analytics approaches. She has been a partner at industry analyst firm Hurwitz & Associates and a lead data analyst for Bell Labs. Her Ph.D. is from Texas A&M University. You can reach her by email (fhalper@tdwi.org), on Twitter (twitter.com/fhalper), and on LinkedIn (linkedin.com/in/fbhalper).

  

All articles by Fern Halper


What’s Ahead for AI In 2024: The Transformative Journey Continues

Organizations increasingly recognize AI’s role in driving decision-making and fostering growth. Here’s what we can expect from AI in 2024.

Generative AI and Its Implications for Data and Analytics

Generative artificial intelligence has captured the imaginations of people around the world. Though not entirely new, generative AI is evolving so rapidly that technology professionals need to track its maturation closely to effectively evaluate the associated opportunities and risks. Here are the basics you need to know.

Advanced Analytics: A Look Back at 2021 and What's Ahead for 2022

Organizations will improve data literacy and try to address ever-increasing complex environments next year.

Unifying DW and DL: 6 Key Questions

Questions our analysts didn't have time to answer in a recent webinar highlight key considerations for moving to a unified data warehouse/data lake.

Don’t Forget the Back End of the Machine Learning Process

Not planning for putting models into production can lead to project failure or increase the amount of time needed to deploy a model.

Tackling Bias and Explainability in Automated Machine Learning

Automated machine learning is likely to introduce two critical problems. Fortunately, vendors are introducing tools to tackle both of them.

The Gender Pay Gap That Won't Go Away

TDWI's 2019 salary survey reveals that although there is some good news for women, the wage disparity between men and women in data and analytics remains.

Advanced Analytics: A Look Back at 2019 and What’s Ahead for 2020

Practical concerns will (and should) dominate 2020.

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