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Harnessing AI and data analytics can make clean energy more viable

IBM Big Data Hub

This is where harnessing artificial intelligence (AI) and data analytics can help. To assist utility companies, IBM has created the Clean Electrification Maturity Model (CEMM) in conjunction with the American Productivity & Quality Center (APQC). The latter can also help drive efficiency by lowering end-user energy use.

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How conversational AI can transform IT support

IBM Big Data Hub

These spanned from being a video editor, interning at startups, assisting in artificial intelligence research, and numerous other stints in between. My task was to improve digital experiences for NYU students and professors by solving technical issues they encountered. For example, the green energy giant ENN Group Co.

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The six strategic uses cases for AIOps

IBM Big Data Hub

By infusing artificial intelligence (AI) into IT operations , you can leverage the considerable power of natural language processing and machine learning models to automate and streamline operational workflows. The benefits of AIOps are many. But where to start?

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The future of 5G: What to expect from this transformational technology

IBM Big Data Hub

5G has been hailed as a disruptive technology, comparable to artificial intelligence (AI ), machine learning (ML) and the Internet of Things (IoT) in terms of the kinds of change it will bring about. Soon, expect 5G connectivity to play a bigger role in enhancing both the employee and customer experience.

Cloud 61
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Utilities Digital Journey Insights (Part 3): Data, the new “digital capital” - Going beyond the hype of advanced analytics and AI

CGI

Utilities Digital Journey Insights (Part 3): Data, the new “digital capital” - Going beyond the hype of advanced analytics and AI. This series of blog posts builds on the 2018 CGI Client Global Insights, providing insights into how utilities are making progress toward digital transformation. So where do utilities stand?

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Private cloud use cases: 6 ways private cloud brings value to enterprise business

IBM Big Data Hub

Enterprise organizations in industries that need to meet strict regulatory compliance standards or comply with data sovereignty laws (manufacturing, energy, oil and gas) frequently choose private cloud environments when they need to meet strict regulatory standards. All the major public cloud providers (e.g.,

Cloud 104
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10 manufacturing trends that are changing the industry

IBM Big Data Hub

It integrates advanced technologies—like the Internet of Things (IoT), artificial intelligence (AI) and cloud computing —into an organization’s existing manufacturing processes. Industry 4.0 IDG infographic to understand how you can unlock Industry 4.0 with an asset lifecycle management cloud 2.