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TDWI Upside - Where Data Means Business

Data Digest: AI and ML in Healthcare

Trends in healthcare technology, using AI to predict COVID-19 symptoms, and using machine learning to study antibiotic resistance.

Data Digest: Training ML, MLOps, AI Learning

Understanding transfer learning, the need for MLOps, and developments in how AI learns.

Executive Q&A: Cognitive Search and Extraction Pave the Way to New Breakthroughs

New generations of cognitive search and text extraction are allowing data workers to focus more of their time on meaningful work. We spoke with Ryan Welsh, CEO of Kyndi, an artificial intelligence company serving critical government and commercial institutions, to learn more.

From Data to Decisions: How ModelOps Can Get You There Faster

ModelOps can help your enterprise cultivate a new way for data scientists and IT to work together and deliver faster, tangible business outcomes.

Data Digest: Using AI/ML in Hiring, Research, and Healthcare

Avoiding machine learning bias, improving machine learning documentation, and a case study for AI benefits in a hospital setting.

Self-Supervised Learning's Impact on AI and NLP

Although humans can learn from observing a few examples of a given task, ML algorithms cannot. They can, however, learn through self-supervised learning. We explain how self-supervised learning works.

Data Digest: Healthcare Advances with ML and AI

These articles explain recent advances in predicting zoonotic diseases, improving patient health, and targeting personalized care.

Data Digest: AI Innovation, ML Data Labeling, ML Security

Forces behind AI developments, techniques for labeling data for machine learning, and how to use ML for security.

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