Recent Work: Fern Halper

Fern Halper, Ph.D.

Vice President and Senior Director of TDWI Research for advanced analytics

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, social media analysis, text analytics, and big data analytics approaches. She has been a partner at industry analyst firm Hurwitz & Associates and a lead analyst for Bell Labs. Her Ph.D. is from Texas A&M University.

Research

TDWI Best Practices Report | Distributed Data Management: Solving Challenges and Maximizing Opportunities
This TDWI Best Practices Report examines distributed data management: what it is, the challenges organizations are facing with it, how organizations are trying to address it, and best practices for success. November 6, 2024 Read Now
TDWI Best Practices Report | Data Monitoring, Management, and Observability
This TDWI Best Practices Report examines the processes and best practices organizations are putting in place to track data flows, detect and respond to issues in real time, and maintain overall data health. September 4, 2024 Read Now
TDWI Checklist Report | Generative AI in Practice: Exploring Use Cases to Harness Enterprise Data
This TDWI Checklist Report explores several popular generative AI use cases as well as how to get started with generative AI and put it into production with company data. August 26, 2024 Read Now
TDWI Checklist Report | Democratizing Data and Analytics for Customer Insights: Five Best Practices
This TDWI Checklist Report provides current best practices for democratizing analytics. July 26, 2024 Read Now

Webinars

Cloud Cost Optimization with FinOps: Strategies for Efficient and Accountable Cloud Spending
Join experts from nOps and Databricks as they discuss the tools and processes to help optimize the costs associated with your cloud platforms. December 13, 2024 View Now
Cloud Cost Optimization with FinOps: Strategies for Efficient and Accountable Cloud Spending
Join experts from nOps and Databricks as they discuss the tools and processes to help optimize the costs associated with your cloud platforms. December 13, 2024 View Now
Building AI You Can Trust: Driving Business Value with Data Quality, Observability, and Governance
Join this webinar featuring experts from Alation, Monte Carlo, and Databricks to discuss how these three core elements can help businesses derive maximum value from their AI initiatives, what this involves, and how to incorporate these concepts into your data ecosystem. December 12, 2024 View Now
Building AI You Can Trust: Driving Business Value with Data Quality, Observability, and Governance
Join this webinar featuring experts from Alation, Monte Carlo, and Databricks to discuss how these three core elements can help businesses derive maximum value from their AI initiatives, what this involves, and how to incorporate these concepts into your data ecosystem. December 12, 2024 View Now

Upside Articles

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. December 21, 2023 Read More
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. August 23, 2023 Read More
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. December 22, 2021 Read More
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. October 6, 2021 Read More
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. December 8, 2020 Read More
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. August 17, 2020 Read More

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