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TDWI Upside - Where Data Means Business

Artificial Intelligence (AI) and Machine Learning


Data Digest: How Machine Learning Affects Decision Making, Computing Resources, and Coronavirus Testing

Getting started with machine learning, the challenge of training multiple ML models, and how machine learning may improve pooled testing programs.

CEO Perspective: Future Trends in BI and Analytics

What are the big trends enterprises face in BI and analytics? Satyen Sangani, CEO and cofounder of enterprise data catalog vendor Alation, explains why he thinks machine learning, data literacy, data governance, and data catalogs are so important right now.

Data Digest: Data Science Changes, Trends, and Examples

How data science is changing because of COVID-19, data science trends to watch, and how to apply machine learning today.

Executive Perspective: Text, Voice, and Facial Recognition

Natural language processing is helping enterprises analyze their data, but its complexities extend beyond understanding inputs and outputs. Behavioral Signals’ CEO, Rana Gujral, explains NLP’s strengths and weaknesses and compares text, voice, and facial recognition technologies.

Data Digest: Data Governance and Using AI for Security and Privacy

How to communicate the importance of data governance, use machine learning for cybersecurity, and protect data privacy with AI.

Data Digest: Data Science Trouble, ML Flaws, Data Science Culture

How to manage problem areas for data science, compensate for machine learning’s weaknesses, and improve your data culture.

Data Digest: AI Bias, Gullibility, and Positive Uses

A new algorithm shows biased training data, why humans can fool machine learning, and AI for social good.

How AI Is Transforming Call Centers with Actionable Insights

With call volumes doubling at some customer centers, AI's role in supporting customer service agents is more important than ever.

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