Category Archives: AI Enterprise

AI by the numbers, May 2019

Posted on June 11, 2019 by

AI optimists drive enterprise adoption US federal government contract obligations and AI-related investments grew almost 75% to nearly $700 million between fiscal 2016 and 2018 [Federal News Network]. 85% of US CEOs and business leaders are AI optimists; 87% are … Continue reading →

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AI by the numbers, April 2019

Posted on June 11, 2019 by

Enterprise adoption and attitudes: Some progress, some FOMO 25% of businesses surveyed have implemented cognitive technologies such as AI or machine learning, either as pilot projects or as long-term strategies; 41% are using Robotic Process Automation (RPA) extensively or across … Continue reading →

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Artificial Intelligence (AI): Top Business Uses

Posted on May 10, 2017 by
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Top Use of AI in the Enterprise Today is Assisting with IT Activities

Posted on April 19, 2017 by

Source: How Companies Are Already Using AI

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Artificial Intelligence Market to Reach $47 Billion by 2020

Posted on December 19, 2016 by

IDC: The industries that will invest the most in cognitive/AI systems in 2016 are banking and retail, followed by healthcare and discrete manufacturing. Combined, these four industries will generate more than half of all worldwide cognitive/AI revenues in 2016, with … Continue reading →

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Artificial Intelligence: DigitalGenius At KLM Airlines

Posted on November 6, 2016 by

KLM Royal Dutch Airlines is the first airline and probably the first enterprise worldwide to test how artificial intelligence could assist customer service agents in managing the increasing volume of interactions with customers over social media channels. DigitalGenius, an artificial … Continue reading →

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Artificial Intelligence: Splunk at Cox Automotive

Posted on November 5, 2016 by

At its annual user conference, .conf, Splunk announced new versions of Splunk Enterprise, Splunk IT Service Intelligence (ITSI), Splunk Enterprise Security (ES) and Splunk User Behavior Analytics (UBA).  These products leverage machine learning to speed-up and facilitate extracting insights from machine-generated data. … Continue reading →

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