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TDWI Upside - Where Data Means Business

Artificial Intelligence (AI) and Machine Learning


Data Digest: AI Mistakes, ML Code Problems, Accurate Predictions

Being aware of the limitations of modern techniques can help you avoid pitfalls in AI, machine learning, and data science.

CEO Q&A: Why AI Is In Your Analytics Future

Thoughtspot CEO Sudheesh Nair explains why AI is the single most important emerging technology -- and why it's not enough for your success.

Data Digest: Machine Learning and AI in Science, Finance, and Hiring

Pitfalls in using machine learning for scientific study, applications for AI in investment, carefully using AI in hiring.

Data Digest: Data Science Limits, Tools, and Data Sources

How to stay realistic with data science, today’s leading data science tools, and how Twitter data is applied to research.

Data Digest: Applying ML and Predictive Analytics to Heating, Disease, and Healthcare

A case study for smart heating, forecasting the flu, and improving healthcare with analytics.

Data Digest: Machine Learning Degrees, Data Scientist as a Job, New Recruiting Trends

These articles provide perspectives on how skills and training might soon be viewed by employers in machine learning, data science, and other AI-enabled fields.

Data Digest: AI Hiring, Skills, and Pitfalls

How to hire AI skills, how fast those skills lose value, and new models to help solve AI blind spots.

Data Digest: AI Bias, Data Ethics, and GDPR Compliance

What causes bias in data and technology, how enterprises can avoid ethics violations, and how big tech companies are being challenged on privacy regulations.

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