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TDWI Upside - Where Data Means Business

Leading-Edge Analytics


How Non-Technical Teams Can Use Predictive Analytics (Part 2 of 2)

Predictive analytics is not just for data scientists. We explain how business analysts and other non-technical users can get the most out of their organization's data.

Putting Predictive Analytics into Practice in the Real World (Part 1 of 2)

Predictive analytics doesn't have to be mystifying. Here are the basics you need to know.

Data Digest: Predictive Analytics, Data Science, and Governance Adapting to Current Needs

The reality of the COVID-19 pandemic is bringing changes to many aspects of analytics and data management.

Executive Q & A: Bursting Data to the Cloud

With so much data to store and analyze, no wonder hybrid cloud solutions are gaining favor. Haoyuan (H.Y.) Li, the founder and CEO of Alluxio, offers his perspective and best practices.

How AI Is Transforming Call Centers with Actionable Insights

With call volumes doubling at some customer centers, AI's role in supporting customer service agents is more important than ever.

Data Digest: Pandemic Predictions, Dashboards, and Data Security

A new coronavirus risk model, a data scientist fired for her predictions, and how to improve data security for remote workers.

Four Steps to Prepare Your Enterprise for Machine Learning

Machine learning can significantly automate generating insights from big data. Here's how to get started.

Executive Perspective: Database Directions

More real-time data, more demands on that data, and a world where cloud computing and data is now mainstream. How do these trends affect what's ahead for databases and database management? Yugabyte's CTO, Karthik Ranganathan, shares his ideas.

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