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TDWI Upside - Where Data Means Business

Leading-Edge Analytics


Data Digest: Data Science Disadvantages, Preparing for Machine Learning, Types of Analytics

Reasons not to be a data scientist, how to ensure you’re ready for machine learning, how to determine what kind of analytics you need.

Going Agnostic: Meeting an Enterprise's Changing Mobile BI Needs

Enterprises must become platform-agnostic to meet employees' new expectations, but there are challenges to overcome. These best practices can help.

Data Digest: Predictive Analytics Basics and Applications

How to get started with predictive analytics, use it in marketing, and apply it to other functions.

Data Digest: Machine Learning Languages, Multitenant Data Sets, Earthquake Detection

Why you should consider JavaScript for machine learning, training ML models on multitenant data, and how machine learning models are detecting aftershocks.

The Cloud Can Be a Massive Data Source for Analytics

Don't overlook cloud-resident open data sources for populating your data warehouses.

Data Digest: AI, Predictive Analytics, and DevOps Affect Operations

Using AI or predictive analytics for operations, and how CIO responsibilities are changing.

Data Digest: Predictive Analytics in Insurance and Healthcare, Embedded Analytics on the Rise

Workers’ compensation firms and healthcare providers are among the industries quickly embracing predictive analytics. Also learn about upcoming trends in embedded analytics.

Data Digest: Retain Data Scientists, Categorize Data Science, Predictive Primer

How to keep data scientists during a merger, focus data science work by specialty, and teach businesspeople the basics of predictive analytics.

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