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TDWI Upside - Where Data Means Business

Leading-Edge Analytics


Advice for Automating Machine Learning and Predictive Analytics

AutoML can solve many of the problems businesses face, but not all. Democratization of machine learning can make a difference. Adam Carrigan, co-founder and COO of MindsDB, explains.

Q&A: Today's Basic Business Skills Include Reading, Writing, and Data Literacy

A new professor ambassador program focuses on highlighting educators who are training the future generation of workers to help their employers build a data-driven culture for competitive advantage.

Managing Data in the Cloud: The Challenge of Complex Environments for Real-Time Applications

Hybrid and multicloud strategies bring flexibility to your organization's data management strategies. However, they also introduce new challenges and can create inefficiencies that should be addressed.

CDO's Next Major Task: Enabling Data Access for Non-Analysts

Digital transformation requires a commitment to enterprisewide data literacy if your organization is going to thrive in this changing business climate.

Four Steps to a Successful Digital Transformation

You've decided to move aggressively to the cloud. What's the most effective way to successfully make that transition?

CFOs Look to Automation and Data Analytics for Digital Transformation, Survey Finds

Leaders of financial departments express enthusiasm for AI, ML, and other technologies but implementation faces some hurdles.

How the COVID-19 Pandemic is Accelerating the Need for Model Monitoring

Data models that predate the pandemic may not reflect today's business environment. It's time to give models a checkup to make sure they reflect current conditions.

Governance Is About Trust, Not Just Regulatory Adherence

Improve governance and trust in the data with data catalogs, glossaries, and metadata repositories.

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