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Is Real-Time Analytics a Money Pit?
Certainly, it is important to have analytics available in the timeframe needed for making decisions. For many years, it was too difficult and expensive to execute analytics anywhere near real-time and so everything was done using infrequent batch processes. As processing power has increased exponentially and costs have dropped
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Can Process Robots Deliver Digital Transformation?
One of the fastest-growing areas of artificial intelligence—at least if that term is defined broadly—is “robotic process automation,” a set of capabilities for the automation of digital tasks. RPA, as it is often called, has some valuable functions, but digital-centric companies may need more intelligence and process simplification to than
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Three Reasons Why Now is the Time for Artificial Intelligence
Within a two- to three-year span, Artificial Intelligence (AI) has gone from relative obscurity to an extreme level of industry attention and media coverage. As a result, organizations that barely knew how to spell “Artificial Intelligence” a few years ago are now charging full steam ahead to pursue AI
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Do You Need a Ph.D. to Run Analytics or Data Science?
A few years ago a large insurance company decided to form a new data science group. The senior managers of the company were determined to find the best leader possible. Many were inclined to hire a prominent Ph.D. in finance at a major research university as their head of data
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Why Analytics of Things Standards are Needed
As the Internet of Things (IoT) continues to explode, so does the need for the analysis of IoT data. At IIA, we call the analysis of IoT data the Analytics of Things (AoT). There are many success stories from the world of AoT. However, without some attention to standards
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84.51° Builds a Machine Learning Machine for Kroger
Machine learning is a great way to extract maximum predictive or categorization value from a large volume of structured data. The idea (at least for “supervised learning,” by far the most common type in business) is to train a model on a one set of labeled data and then use
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Highlights From the AI Conference Keynotes
This week, IIA attended The AI Conference presented by O’Reilly Media and Intel AI (#TheAIConf) in New York City. The conference tagline was “Put AI to Work” and it provided an informative and comprehensive overview of the current state of artificial intelligence. Session topics ranged from cutting edge research
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Will Data Scientist Continue to be the Sexiest Job?
Back in 2012 I wrote (with D.J. Patil, who went on to become the Chief Data Scientist in the White House) an article in Harvard Business Review called “Data Scientist.” Nobody remembers the title or much about the content of the article, but many remember the subtitle: “Sexiest Job of
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Is Data Now More Differentiating Than Analytics?
As a person who has been involved with analytics for a long time, I have historically considered analytics to be a huge differentiator while data was more of a table-stakes enabler. Several trends have come together to make me realize that the equation has been reversed in many cases
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How to Outflank the Competition with Analytics
CIOs can help drive business value by following the lead of high-performing companies that use advanced analytical techniques and data-driven insights to rise above their competitors.Data analytics has helped rewrite the rules of business competition, creating a growing number of analytical competitors—businesses that have gained an advantage by competing not