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TDWI Upside - Where Data Means Business

Artificial Intelligence (AI) and Machine Learning


Data, AI, and the Future of Analytics Technology

Paul Appleby, CEO of Kinetica, explains which technology is key for today’s enterprises, which is the most challenging, and where analytics and data management are headed this year and into the next.

AI and BI Projects Are Bogged Down With Data Preparation Tasks

We offer four best practices that will help you do data prep the right (and efficient) way.

Anatomy of a Data Strategy: From Operational Intelligence to Artificial Intelligence

To get the most from your data, you'll need a comprehensive data strategy. We look at a four-stage maturity model.

The Rise of the Data Security Scientist

A new breed of data scientist -- professionals focused on protecting data -- is emerging. Here's what the role entails and why the position may be a good addition to your IT team.

Putting Analytics and AI in Context for Better Outcomes

How do organizations really gain value from analytics? Deliver results and drive change at your enterprise using these experts' advice.

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.

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