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Embrace Analytic Athleticism
With today’s rapidly changing mix of analytic techniques, toolsets, and platforms, it’s difficult for any organization to be confident it is keeping its analytic workforce and skillsets up to date.I often have clients ask if they need to consider turning over a large portion of their analytics organization in order
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Analytics Predictions and Priorities for 2019
Portland, Ore. (Dec. 11, 2018) – International Institute for Analytics (IIA) leaders Bill Franks, Tom Davenport and Bob Morison revealed their list of 2019 analytics predictions and priorities for data-driven enterprises. Pressing topics include ethics, unique data, artificial intelligence, security, model deployment, and organizing talent. IIA Chief Analytics Officer Bill
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The Post-Algorithmic Era Has Arrived
Last week, IIA hosted our annual Predictions and Priorities webinar, as well as the associated research brief. When we sat down to determine what we should focus on this year, Tom Davenport and I both immediately raised a trend that we’ve recently been discussing with organizations. After reconciling our
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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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Why Blockchain and Analytics Don't Mix Well
The concept of a blockchain is quite a phenomenon in recent times. It has quickly risen from a relatively obscure idea known mostly within some small circles to one that is being discussed as having potential to literally change some of the fundamentals of the world’s economic systems.I don’t
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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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Will the Open Source Movement Backfire?
While open source software has been around for decades, its adoption level and breadth of focus have exploded in recent years. Most companies now make regular use of open source software - and that usage is increasing. However, there is a potential downside to the open source explosion that
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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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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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Yes, Artificial Intelligence is Analytics
There seems to be some confusion as to exactly what artificial intelligence (AI) is, and how the discipline of AI should be categorized. Is AI a form of analytics or is it a totally new discipline that is distinct from analytics? I firmly believe that AI is more closely