Business value of IT News
August 03, 2017
This is a guest blog post by Jane Zavalishina, CEO, Yandex Data Factory Well-established enterprises like retailers or manufacturing companies now have an abundance of data at their disposal. ...
February 10, 2017
The IoT explosion is certain, CIO reservations and ill-fated use cases notwithstanding. So says new research from Gartner, HCL. Also: Microsoft launches IP protection program.
February 01, 2017
The Salesforce flavor of artificial intelligence, Einstein, is trying to bring practical productivity to everyday tasks, but can it prevail over long-standing competition?
January 31, 2017
Goldman provides its clients with sophisticated services by partnering with startups like Kensho Technologies.
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Why does IT exist? In the second part of his essay on the evolution of IT, George Spalding makes the case for value transformation and explains the role of DevOps in making it happen. Continue Reading
A successful predictive analytics program involves more than deploying software and using it to analyze data. This set of steps can help put a solid analytics foundation in place. Continue Reading
Traditional business models aren't keeping up with the internet of things; it's time for a new IoT business model to emerge. Continue Reading
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There is no doubt that AI capabilities bring great value, but measuring and quantifying that value isn't easy, says Sam Ramji, VP of product management at Google. Continue Reading
Investments in AI chatbots can pay off for businesses, but customer service teams still need to keep people around to handle complex issues and provide emotional empathy and an engaging voice. Continue Reading
Lauren Kunze, CEO of Pandorabots, discusses how chatbot data and specific KPIs are critical to unlocking bots' full business potential. Continue Reading
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When used right, data dashboards can lead to major business value. But planning and the overall user experience are both key to getting the most out of them, consultant Mico Yuk says. Continue Reading
IT roles are shifting, as more companies adopt cloud services. IT staffs must now ensure they are leading the adoption of new capabilities that deliver business value. Continue Reading
In many organizations, data backups are performed at a much higher rate than restores. Fewer restores are never a bad thing, but is there a way to back up data more efficiently? Continue Reading
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Quality assurance professionals need to start thinking about bringing business along for the ride. Expert Amy Reichert offers tried-and-true advice to get started. Continue Reading
It's easy to get bogged down with the details when writing an information technology project proposal, but execs want simpler data. Here's how to write a winning proposal. Continue Reading
Big data environments based on technologies such as Hadoop and Spark are being deployed more widely -- and the same goes for advanced analytics tools that can help organizations make effective use of the data flooding into those systems. In fact, predictive analytics software was the top choice for planned business intelligence and analytics investments by respondents to a TechTarget survey.
And in many cases, deployments of advanced analytics software to support big data applications aren't a one-and-done thing. Macy's uses more than a half-dozen tools to meet different application needs as part of the retailer's big data analytics program. The technology roster includes statistical analysis, predictive modeling and machine learning tools that Macy's couldn't do without. "Because of the volume of data, there's just no humanly possible way to analyze it [manually]," said Seetha Chakrapany, the company's director of marketing analytics and customer relationship management systems.
Macy's is just one of six organizations featured in this e-book chapter by Executive Editor Craig Stedman. Progressive Casualty Insurance Co. is another. The insurer's data and analytics business leader, Pawan Divakarla, said the capabilities provided by advanced analytics tools are "huge" in enabling Progressive to manage a program for awarding discounts on auto insurance policies to safe drivers based on analysis of operational data collected from their vehicles.
But there are issues to contend with along the way, from the complexity of developing predictive models and machine learning algorithms to the challenge of sharing analytics results with business executives. Find out how Macy's, Progressive and others have overcome the hurdles and made advanced analytics against pools of big data work successfully.Continue Reading