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Unlocking value: Top digital transformation trends

IBM Big Data Hub

It will also create smarter chatbots that can tackle simple questions, which will improve the customer experience while freeing up customer service reps to take on larger-order problems. Also, machine learning will be an incredibly powerful tool for data-driven organizations looking to take better advantage of their data analytics practices.

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#ModernDataMasters: Michele Chambers, AWS

Reltio

Michele is also a speaker, author and evangelist for the use of analytics to drive better business decision-making. What was your route into technology, data and analytics? I then worked on a large-scale BI project at Coca-Cola, which was where I really started to understand the importance of analytics. I grew up in St.

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The Business of Data Newsletter – Issue 7 (7 December 2018)

Information Matters

“The top trophy hire in data science is elusive, and it’s no surprise: a “full-stack” data scientist has mastery of machine learning, statistics, and analytics. GM Files Blockchain Patent to Manage Data From Autonomous Cars – Coin Telegraph, 3 December 2018. Which of those skills gets the pedestal? . ” [link].

IoT 40
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#ModernDataMasters: Sarit Bose, Cognizant

Reltio

Sarit Bose is the Head of Business Analytics and Insights at Cognizant UK&I. We all know the “garbage in, garbage out” saying but unless you are working in data management then it is probably hard to gauge just how important it is to get the data right and the impact it can have on the results of your analytics.”.