TDWI Upside - Where Data Means Business

Artificial Intelligence (AI) and Machine Learning


Data Requirements for Machine Learning

Machine learning can enable new forms of predictive analytics and embed algorithm-driven intelligence into many software applications. However, none of that is possible without the right data, captured and processed the right way.

Data Digest: Machine Learning Languages, Multitenant Data Sets, Earthquake Detection

Why you should consider JavaScript for machine learning, training ML models on multitenant data, and how machine learning models are detecting aftershocks.

Data Digest: AI, Predictive Analytics, and DevOps Affect Operations

Using AI or predictive analytics for operations, and how CIO responsibilities are changing.

AI Techniques You Need to Know

Big data capture and management fuels AI possibilities.

Data Digest: Data-Driven HR, Engaging Patients, New Job Training

How data and advanced algorithms can find high-potential employees, keep patients involved in healthcare, and inspire new job training models.

The Secret Behind the New AI Spring: Transfer Learning

Transfer learning has democratized artificial intelligence. A real-world example shows how.

Data Digest: GPU for AI, AI Security Problems

How the GPU became vital to AI and machine learning, and how these technologies might cause as many security problems as they solve.

Putting AI to Work Protecting Your Data (Part 2 of 2)

Cybersecurity is a top priority for enterprises, but it often seems they’re losing an ever-changing battle. How can artificial intelligence help?

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