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TDWI Upside - Where Data Means Business

Artificial Intelligence (AI) and Machine Learning


Laying the Foundation to Unlock AI Value at Scale

To provide robust data logistics, your data fabric will need these four traits.

Data Digest: Data Strategy Lessons, Personalized Content, Predictive Analytics Experiment

Learn about data and analytics strategies from sports, plan for AI-driven, highly personalized content, and find out how predictive analytics is working for universities.

Data Digest: Data Privacy Regulation, Data Protection Tactics, Regulating Medical AI

What’s coming in the U.S. for consumer data protection, what enterprises can do to protect their data, and how new regulation might affect medical devices that depend on machine learning.

Data Digest: Self-Driving Cars and Automated Navigation

How quickly self-driving are cars coming, how they can be created more efficiently, and what went wrong for an airplane’s automated systems.

The Machine Learning Data Dilemma

Machine learning applications are dependent on, and sensitive to, the data they train on. These best practices will help you ensure that training data is of high quality.

Automated Machine Learning and the Future of Data Science Teams

With the advent of automated machine learning, data scientists will need to adapt their role in the data science life cycle.

Data Digest: Machine Learning Tips, Tools, and Pitfalls

How to be successful with machine learning, choose the right tools, and head off model decay.

Most Companies Are Not Ready for Ethical Intelligence

Adding property rights to inherent human data could provide a significant opportunity and differentiator for companies seeking to get ahead of the data ethics crisis and adopt good business ethics around consumer data.

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