Trends in Analytics


Data Digest: Hidden IoT Connections, Connecting Legacy Equipment, Smart Data Lakes

Read about increasing security concerns with both consumer and industrial IoT devices and why you should consider a semantic layer with your data lake.

Analytics and AI-Driven Business Transformation Is Coming

A recent report from IDC makes some bold predictions about analytics, cognitive computing, and artificial intelligence.

AI, Deep Learning, and Financial Services

Financial services can benefit from the many competitive use cases enabled by artificial intelligence and machine learning, but adoption has been slow.

Styles of Deep Learning: What You Need to Know

Deep learning is an increasingly important part of the AI toolkit, yet it is often misunderstood.

Data Science for Everyone

Statistical models and machine learning algorithms are often mysterious and confusing for average business and data professionals. However, even the most math-adverse can reach some understanding.

Successful Data Lakes: A Growing Trend

Data lakes have been widely misunderstood, but they are now benefiting from new best practices -- helping organizations gain significant value.

Data Scientist Skills for Success

With the increasing demand for data science professionals, what skills are necessary to succeed in our new digital world?

Why Data Science Must (And Will) Be Automated

Data science today is extremely labor-intensive. The automated or quasi-automated features widely used in self-service BI aren't commonplace in data science, but Gartner says that's about to change.

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Q&A with Jill Dyché

Find out what's keeping teams up at night and get great advice on how to face common problems when it comes to analytic and data programs. From head-scratchers about analytics and data management to organizational issues and culture, we are talking about it all with Q&A with Jill Dyche.

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