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The Business of Data Newsletter – Issue 10

Information Matters

After all, with data-fueled applications of artificial intelligence projected, by McKinsey, to generate $13 trillion in new global economic activity by 2030, this could determine the next world order, much like the role that oil production has played in creating economic power players in the preceding century.” ” [link].

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Conversational AI use cases for enterprises

IBM Big Data Hub

billion by 2030. Retail: Customers can manage their entire shopping experience online—from placing orders to handling shipping, changes, cancellations, returns and even accessing customer support—all without human interaction.

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The Economy of Things: the next value lever for telcos

IBM Big Data Hub

The number of IoT connected devices are growing in practically every industry, and is even predicted to reach 29 billion worldwide by 2030. It is also valuable externally: to fuel companies, vehicle manufacturers, retailers and other brands wanting to engage in connected driving experiences for the fleet.

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Utilities: Interesting Times – Blessing or Curse?

CGI

The “Demand Side Flexibility in UK Utilities” online survey attracted the second largest number of responses that Utility Week has seen for a survey of this type (interestingly enough, the first largest was last year’s “Energy Flexibility: transforming the power system by 2030” survey!);

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How AI is fueling the growing market for cloud-based data unification

Reltio

Data fragmentation and silos are common challenges faced by various industries, including financial services, insurance, B2B, and retail. Online and offline retailers grapple with creating a unified view of the customer journey and delivering consistent experiences across channels.

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How to choose the best AI platform

IBM Big Data Hub

trillion to the global economy in 2030, more than the current output of China and India combined.” Is it intended for internal team use or to be accessible to external customers? Data security : Data security protects digital information from unauthorized access, corruption or theft throughout its entire lifecycle.

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Security Ledger Podcast: Security Automation Is (And Isn't) The Future Of InfoSec

ForAllSecure

Machine learning algorithms are already being used in transportation to ease road congestion, in healthcare to spot medical errors and improve patient care and in retail to improve the customer shopping experience. I mean we can call them field access if you want, but I mean come on. We even see this in proprietary software.