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TDWI Upside - Where Data Means Business

Practical Data Science


Data Digest: What AI Can and Can’t Do and the Value of Data Accuracy

Misunderstandings about AI’s intelligence, the role of human creativity in innovation, and the need for accurate, trusted data.

Executive Q&A: A Closer Look at Open Data Lake Analytics

An open data lake analytics approach will augment (and over time surpass) adoption of data warehousing given the significant long-term strategic benefits it provides to companies, Ahana's Dipti Borkar argues.

Understanding Connected Data Is the Key to Understanding Your Customer

With available technologies, data can be a real-time, on-demand asset that a financial institution can use to reinvent poor processes and procedures, transforming the way it engages with and understands its customers.

Data Stories: Cost of Living, Speed of Salary, Price of Light

Minimum wages by state, comparing large salary ranges, and the history of artificial light.

Data Digest: Data Science Education, IT Innovation, CIO Strategy

Possible shortcomings of university-level data science training, demands on IT and data professionals, and how a CIO should handle data science needs.

Advice for Automating Machine Learning and Predictive Analytics

AutoML can solve many of the problems businesses face, but not all. Democratization of machine learning can make a difference. Adam Carrigan, co-founder and COO of MindsDB, explains.

Q&A: Today's Basic Business Skills Include Reading, Writing, and Data Literacy

A new professor ambassador program focuses on highlighting educators who are training the future generation of workers to help their employers build a data-driven culture for competitive advantage.

Data Digest: Data Science Habits, Mental Health in Tech, ML and Music

Advice for becoming a better data scientist, research into mental health and satisfaction in tech, and how machine learning can compare musical performances.

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