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Trends in Analytics


Adopting a Data-Centric Culture (Part 3 in a Series)

In the final part of our series, we look at the characteristics of a data-centric culture and how to adopt such a culture in your own enterprise.

The ABCs of a Data-Centric Culture (Part 2 in a Series)

To become a data-centric enterprise, you must first recognize what counterproductive behaviors you'll need to eliminate.

Why BI Isn't a Technology Issue (Part 1 in a Series)

Implementing a BI program without a data-centric culture is bound to disappoint users and waste resources.

Lessons from Facebook: Can We Defeat Databuse?

We in the information technology and data management disciplines must step up to an engaged and active role in educating the public and businesspeople who are not fully aware of the dangers of abuse of personal and related data.

Data Digest: Machine Learning Pitfalls, Free Training, and Term Definition

How to avoid undermining machine learning, learn the basics online, or find high-level definitions.

Can Automation Accelerate Machine Learning Programs?

Auto ML is a powerful concept for the next generation of AI tools. It's part of a general movement to extend AI-based automation to data science.

Cybersecurity Plus Data Science: The Career Path of the Future?

Data science and cybersecurity, two of the most popular career paths, are on a collision course. The combination of these two skill sets will become highly sought-after in the next decade.

Data Digest: AI Trends, Data Science Myths, Edge Computing

How AI will affect you in 2018, fallacies about data science, and the basics of edge computing.

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