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The Data Science Project Playbook

By Matthew Coffman, High Alpha Given how frequently we hear or talk about machine learning and AI as emerging ways for startups to differentiate themselves,...

IBM Attracting Developers With AI and Open Source ML Projects

Already a leader in the advancement of artificial intelligence, IBM has brought AI technology to developers with open arms. IBM recently launched a series of...

Here is How to Prepare Your Business Data for Artificial Intelligence

Over the recent decade, only a few technologies captured our attention quite as much as artificial intelligence (AI). The interest is justified, because the...

The Bias AI Is Showing Against Women Can be Fixed

Artificial intelligence isn't necessarily good for women, but we can make it better. Because we build and train AI, it reflects our biases and assumptions —...

Your Company’s Data Has Value; Here is How to Find It

Companies are amassing tremendous volumes of data, which they consider their greatest asset, or at least one of their greatest assets. Yet, few business...

Algorithmic Bias is Real and Pervasive. Here’s How You Solve It.

By Robin Bordoli, CEO, CrowdFlower A few months back, I found myself in one of those big electronics stores that are rapidly becoming extinct. I...

Set up Your Operations Tech and Data Science Teams for Success

No professionals are more important to the Industrial Internet of Things (IIoT) than data scientists. Data scientists are charged with taking vast amounts of...

Predictions of Innovations and Trends for Embedded Analytics for 2018

The embedded analytics market is growing at a rapid rate and will be worth $51.78 billion by 2022. Over the next few years, most organizations will...

These 4 Data Analytics Trends Will Dominate 2018

Together with AI, social, mobile and cloud, analytics and associated data technologies have emerged as core business disruptors in the digital age. As companies...

How Data Scientists Are Wasting Their Time

By Abhi Yadav, Co-founder & CEO, ZyloTech Today’s definition of what most companies want in a data scientist seems to be something akin to a...