Sat.Jan 07, 2017 - Fri.Jan 13, 2017

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Why Regulating AI Is A Mistake

Bruno Aziza

In the next four years we will see an explosion of AI technology that further delivers on the promise of driverless cars, intelligent robots, and other societal and job-impacting advancements. The conversation needed is how to, or more precisely, how not to regulate AI.

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Reap The Benefits While Avoiding The Pitfalls: The Three Key Challenges That Could Derail Your AI Project

Martha Bennett

It’s been abundantly clear for a while that in 2017, artificial intelligence (AI) is going to be front and center of vendor marketing as well as enterprise interest. Not that AI is new – it’s been around for decades as a computer science discipline. What’s different now is that advances in technology have made it […].

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Missed Some Of Our Business Insights Research In 2016?

Srividya Sridharan

Forrester’s business insights research team has had a busy 2016! We have been busy helping our business and technology clients lead their organization to become insights-driven – one of the key operating principles of customer-obsessed firms. Our research in 2016 helped clients: Organize And Operate As An Insights-Driven Business. Insights-driven businesses harness and apply […].

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Nutanix Continues to Deliver on the Promise of Invisible Infrastructure for Citrix Environments

Nutanix

There’s no question that enterprise application usability has for the most part been left behind.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Executives Report Measurable Results From Big Data, But Challenges Remain

Bruno Aziza

After a half decade of investment, and periods of trial and error, a near majority of business executives now report successful results from their Big Data investments.

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Reap The Benefits While Avoiding The Pitfalls: The Three Key Challenges That Could Derail Your AI Project

Martha Bennett

It’s been abundantly clear for a while that in 2017, artificial intelligence (AI) is going to be front and center of vendor marketing as well as enterprise interest. Not that AI is new – it’s been around for decades as a computer science discipline. What’s different now is that advances in technology have made it […].