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TDWI Upside - Where Data Means Business

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Data Digest: Data Science Teams, Statistical Paradoxes, Unstructured Data

Choosing a data science team structure, paradoxes data scientists have to watch out for, and new methods for handling unstructured data.

A Framework for Putting Analytics into Action

A five-step framework helps you design reports and visualizations that use data to transform your business.

Boost Business Analytics with an Operational Data Store

An ODS can become an integral hub for your business information systems by providing a central repository of data from multiple sources.

Data Digest: Advice for Developing, Managing, and Enhancing Machine Learning

Creating successful ML projects, how managers can support ML, and accelerating your machine learning projects.

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 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.

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