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TDWI Upside - Where Data Means Business

Artificial Intelligence (AI) and Machine Learning


Why Enterprises Are Turning to DataOps

Why is DataOps so important for your enterprise data management tasks? We asked Chris Cook, CEO of Delphix and a veteran technology executive with more than 30 years of experience in the enterprise software industry, for his perspective.

AI In Action: AI and Cannabis

AI's use in medical applications is well known. We learn from Meni Morim, CEO of Namaste Technologies, how AI can benefit cannabis users.

Data Digest: ML and Fake News, Synthetic Sensitive Data, ML and Security

Why machine learning can’t detect fake news, why synthetic data can help you follow regulations, and how machine learning helps detect hackers.

Getting Started with Natural Language Processing in Your Enterprise

NLP is a necessary enterprise discipline today. Understanding the challenges and possibilities will help you harness this discipline for your language applications.

Data Digest: Applying Machine Learning to Disasters, Delivery, and Hackers

The right machine learning algorithms can predict natural disasters, improve customer service, and detect online criminals.

Data Digest: AI and the Brain, the Cloud, and Production Models

Improving AI with neuroscience, using the public cloud for AI, and putting ML models into production.

Data Digest: Doing Global Good with Data Science and AI

These articles describe current projects and initiatives using data science and AI to improve public health and address other worldwide concerns.

CEO Perspective: Future Trends in BI and Analytics

What's hot now and what's ahead in BI and analytics? Matthew Scullion, Matillion CEO, offers his perspective.

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