Research

The Post-Algorithmic Era Has Arrived

By Bill Franks, Dec 14, 2017

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 semantics, we realized that we were both excited about the same base trend. I want to reiterate it here as I think it is a critical trend to understand and adapt to. Namely, “the post-algorithmic era has arrived”.

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What We Talk About When We Talk About AI

By Thomas H. Davenport, Dec 12, 2017

What do we call the collection of technologies that make up what we used to call “artificial intelligence?” This conundrum reminds me of a Raymond Carver short story (and book) called What We Talk About When We Talk About Love. Artificial Intelligence (AI) isn’t quite as ambiguous a concept as love, but it’s moving in that direction.

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Inquiry Response: Thoughts on Platforms and Recruitment, Looking to the Future

By IIA Faculty, Nov 20, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

What hard packages are being taught in data science programs (SAS, Stata, SPSS, R, Python, etc.)? We’ve seen a shift away from proprietary platforms. How are organizations reacting to attract and retain new talent? What does the future look like in this space?

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Strata Data Conference 2017

By David Alles, Nov 16, 2017

Available to Research & Advisory Network Clients Only

Nothing reflects today’s rapid pace of change like the mainstreaming of Artificial Intelligence (AI). IIA launched its expanded coverage of technical conferences with last year’s Strata + Hadoop World 2016 in New York City. The central theme of this Strata event was the 10-year anniversary of Hadoop and Big Data’s coming of age. In the span of twelve short months, AI has gone from a minor conference subplot to the dominant theme and is now the leading keynote and breakout session topic.

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Data-driven decision-making: who doesn’t think it is a good idea? But it typically has a rough go in the real world of enterprise management, in part because the data itself often proves unreliable. For much of my business life IT has been tasked with building systems that could represent a single source of the truth. Unfortunately, that quest proved to be right up there with the holy grail and the fountain of youth—at best, aspirational, at worst, delusional. Today we have an opportunity to make a great leap forward, however, because for the first time in history we have broad access to high-volume data from a variety of sources that, when matched against each other, dramatically increase the probability of something like truth, and do so in a time window that is actionable. Part 3 of the blog series.

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Data-driven decision-making: who doesn’t think it is a good idea? But it typically has a rough go in the real world of enterprise management, in part because the data itself often proves unreliable. For much of my business life IT has been tasked with building systems that could represent a single source of the truth. Unfortunately, that quest proved to be right up there with the holy grail and the fountain of youth—at best, aspirational, at worst, delusional. Today we have an opportunity to make a great leap forward, however, because for the first time in history we have broad access to high-volume data from a variety of sources that, when matched against each other, dramatically increase the probability of something like truth, and do so in a time window that is actionable. Part 2 of the blog series.

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Why Blockchain And Analytics Don’t Mix Well

By Bill Franks, Nov 09, 2017

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.

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Data-driven decision-making: who doesn’t think it is a good idea? But it typically has a rough go in the real world of enterprise management, in part because the data itself often proves unreliable. For much of my business life IT has been tasked with building systems that could represent a single source of the truth. Unfortunately, that quest proved to be right up there with the holy grail and the fountain of youth—at best, aspirational, at worst, delusional. Today we have an opportunity to make a great leap forward, however, because for the first time in history we have broad access to high-volume data from a variety of sources that, when matched against each other, dramatically increase the probability of something like truth, and do so in a time window that is actionable. Not everyone, of course, has access to all the sources, so to kick things off let me present a framework of the possible, within which each organization can determine what its actual will be. Part 1 of the blog series.

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2017 Analytics Symposium - Chicago Summary and Recordings

By Jack Phillips, Oct 31, 2017

Available to Research & Advisory Network Clients Only

Earlier this month, IIA held its 8th Analytics Symposium and awarded the 2017 ANNY Excellence in Analytics Award to Cisco Systems in a packed house at the Gleacher Center in Chicago. Read the key themes of the event and watch the session recordings on demand.

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Analytics Innovation in Healthcare

By Maryam Saleh, Oct 31, 2017

Available to Research & Advisory Network Clients Only

2017 Analytics Symposium - Chicago Session Recording

Maryam Saleh describes current trends in healthcare that have opened an opportunity for data analytics startups. She weaves in her experience developing analytics software for the brain at Cyberkinetics and describe some of the other healthcare startups she’s encountered in her role at health tech incubator MATTER.

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