TDWI Upside - Where Data Means Business

The Rise of Automated Machine Learning

No matter what industry you're in, autoML can help you use machine learning successfully and extract and leverage business insights hidden in places where only machine learning can reach.

Data Digest: Machine Learning Bias, Customer Targeting, Unsolvable Problems

How humans cause bias in machine learning, how marketers can improve personalization, and why some problems might not be solvable.

IoT and the ML Connection

The intersection of machine learning and IoT is creating a need for new ways of thinking about -- and understanding -- data, sensors, citizen data scientists, and a host of other issues.

Modern Metadata Management

Tool automation and intelligence are replacing manual technical tasks with immediate business results.

Data Digest: Value and Uses for Predictive Analytics and AI

Improving predictive analytics, the dangers of customer unfriendly AI, and new medical uses for machine learning.

Tomorrow's Heroes: Developing the Data Curation Role

As data becomes ever more valuable, so does the role of the data curator.

Five Roles for Your Data Science Team

To get the greatest value out of your organization’s data, your data science team needs to play five distinct roles: innovators, explorers, prototypers, optimizers, and responders.

Data Stories: Life and Death in Charts

These inventive visualizations compare the types of life on earth, simulate population growth, and explore the impact of celebrities’ deaths.

Making Every Employee an Analytics Expert

Widen BI adoption and use with these steps that won't disrupt your environment.

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