IDG Contributor Network: Why RPA implementations fail

Robotic process automation (RPA) uses software code, often called “bots,” to record and replay repetitive software application interaction tasks that are normally done by employees in an enterprise, as an example, inputting order management data into an enterprise resource planning (ERP) system and returning confirmations or exceptions by email.  And the beauty of RPA is that it does not require expensive and time consuming enterprise application integration efforts, as it…

September 19, 2017
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3 machine learning success stories: An inside look

Fewer technologies are hotter than artificial intelligence (AI) and machine learning (ML), which mimic the behavior of the human mind to help companies improve business operations. And for companies embarking on digital transformations, AI and ML are being viewed as cornerstone technologies for wooing customers with new services. Aggressive marketing has triggered significant hype around these emerging technologies. Restaurants, retailers and airlines are deploying chatbots that approximate human-like conversations with…

September 19, 2017
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IDG Contributor Network: How artificial intelligence is transforming learning

In an increasingly polarized country, we all share one thing in common: everyone has taken a standardized test. Whether it was the SAT, ACT, GMAT, LSAT, or some other exam, we have all sat at a desk and fretted about the impact our performance might have on our future. Well, today’s kids are about to become a degree further removed from our shared childhood experiences, because they likely will not…

September 14, 2017
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IDG Contributor Network: Why the future of machine learning will be crunching words

In recent years, enterprise machine learning has revolved around crunching numbers: analyzing datasets or tracking customer behavior. But what organizations will soon realize is that applying machine learning to content—physical documents, images, presentations and even conversational UIs—removes the cap on who machine learning impacts, and how far its value extends across the enterprise.   Tracking down lost documents and images, or drafting abstracts and case studies only to realize they’ve…

September 12, 2017
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10 tips for getting started with machine learning

Machine learning (ML) is fast becoming a litmus test for forward-thinking CIOs. Companies that fail to adopt machine learning for product development or business operations risk falling behind more nimble competitors in the coming decade. That’s according to Dan Olley, who as the CTO of Elsevier, the scientific and health information unit of RELX Group, has ratcheted up his organization’s adoption of ML technologies in recent years.   To read this…

September 12, 2017
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