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How AI is helping companies meet sustainability goals

IBM Big Data Hub

AI solutions work by collecting asset performance data and feeding it into machine learning models, which can predict asset health and risk of failure. Anomaly detection: Some manufacturers have zero-defect goals. Compute optimization: Data centers consume a huge amount of electricity.By

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The Third Modern Data Management Summit: Making Data Work!

Reltio

The third Modern Data Management annual summit ( #DataDriven19 ) held on February 26-27 2019 attracted more than 400 business and IT professionals getting together in San Francisco to witness the future of data management, share success stories and learn best practices. This year’s theme was “ Organize Master Data.

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GUEST ESSAY: 5 security steps all companies should adopt from the Intelligence Community

The Last Watchdog

The IC gathers, stores and processes large amounts of data, from a variety of sources, in order to provide actionable information for key stakeholders. And, in doing so, the IC has developed an effective set of data handling and cybersecurity best practices. Related video: Using the NIST framework as a starting point.

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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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The most valuable AI use cases for business

IBM Big Data Hub

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. NLP techniques help them parse the nuances of human language, including grammar, syntax and context.

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#ModernDataMasters: Scott Taylor, “The Data Whisperer”

Reltio

Scott Taylor also known as “The Data Whisperer” is a firm believer in “making your data do the work,” and has enlightened many business executives to the value of proper data management by focusing on the strategic rationale and business alignment rather than technical implementation and system integration.

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