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DataRobot Celebrates a Decade of Innovation with Industry Recognition

DataRobot

This marks a full decade since some of the brightest minds in data science formed DataRobot with a singular vision: to unlock the potential of AI and machine learning for all—for every business, every organization, every industry—everywhere in the world. How to Thrive in the Age of Data Dominance. 10 Keys to AI Success.

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How universities are using AI to power operational efficiency

Trigent

The role of technology in the education industry has witnessed some monumental trendsetters, right from 2019, which saw the advent of Big Data , Internet of Things (IoT), and Machine Learning. Artificial Intelligence (AI) has also been a significant contributor, revolutionizing education.

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AI Can Help Retailers and Manufacturers Navigate Supply Chain Challenges

DataRobot

Using machine learning in conjunction with existing business intelligence solutions can give retailers and manufacturers a much more accurate and realistic insight into future demand, even in uncertain times. One global retailer reported that machine learning led to $400 million in annual savings and a 9.5

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3 Technical Innovations Ready to Drive Enterprise AI Adoption

IDC

While we’ve discussed the disruptive power that artificial intelligence (AI) applications bring to enterprise organizations, the truth is that AI adoption is still low for these businesses. Automated Machine Learning. Likewise, AI gets embedded in enterprise infrastructure for intelligence and self-management.

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5 Things a Data Scientist Can Do to Stay Current

Demand for data scientists is surging. With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. Collecting and accessing data from outside sources.

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4 Ways AI Will Transform Marketing

IDC

Artificial intelligence (AI) is poised to transform the way that marketing professionals work, and how organizations target, engage and connect with customers and prospects. In the past decade, marketing automation systems produced enormous amounts of data, much of which has gone unused.

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What is Model Risk and Why Does it Matter?

DataRobot

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks. More on this topic. Download now.