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TDWI Upside - Where Data Means Business

Artificial Intelligence (AI) and Machine Learning


Data Digest: Analytics for Mental Health

The development of virtual clinicians, the effectiveness of online treatment, and how NLP can help those in need.

Why Synthetic Data Could Be the Ultimate AI Disruptor

Synthetic data -- computer-generated data that mimics real-world phenomena -- is disrupting traditional data-to-insight pipelines, allowing organizations of all scales to test, tune, and optimize revolutionary AI models.

Data Digest: Preventing Threats, Protecting Models, and Regulation Risks

How machine learning can improve cybersecurity, new techniques to protect models from attack, and why regulation confusion could create openings for hackers.

CEO Perspective: The Challenges and Benefits of AI

What lies ahead for BI and analytics and how can AI help? Anodot's David Drai shares his outlook on the role AI will play in your future enterprise strategy.

CEO Perspective: The Move to Smart Data Discovery

Identifying relationships within your data can give you the insights you need to improve decision making and enable regulatory compliance. Io-Tahoe’s CEO, Oksana Sokolovsky, explains why.

Data Digest: Applications for Retail, Utilities, and Manufacturing

The use of data science, predictive analytics, and machine learning is growing across industries.

Data Digest: Model Accuracy and Energy Use

Why the accuracy of data and machine learning models might be in the eye of the beholder and the carbon costs of AI model training.

Data Digest: Automation in Data Science and Machine Learning

How automation is helping data scientists, how users can understand automated machine learning, and how growth in machine learning and AI is changing business.

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