May 23, 2016 - by Art Shectman

“It is a capital mistake to theorize before one has data.”      -- Arthur Conan Doyle

This is Part 2. See Part 1.

Big data can be enormously useful to American healthcare. It can make sense of the enormous volume of data the healthcare system generates, and it can use that data to provide actionable insights into options for improved healthcare delivery.

May 12, 2016 - by Art Shectman

Part 1 of 2

If Big Data needs a big industry to prove itself, there’s no better candidate than American healthcare. “Big” only begins to describe an industry in which the National Healthcare Expenditure, one measure of the sector’s size, exceeds $3 trillion.

Admittedly, that number is in some dispute, but the dispute centers on the proper accounting treatment of some $300 billion in spending. When an industry can view a $300 billion discrepancy as one of those pesky accounting errors, the size of that industry speaks for itself.

Apr 29, 2016 - by Art Shectman

This is Part 3 of a series. Please click here for Part 1 and here for Part 2.

Apr 19, 2016 - by Art Shectman

This is part 2. Please see part 1 here.

Faced with a flood of data pouring forth from the Internet of Things, what’s a company to do?

If you approached the task of turning that data into something predictively useful in the normal way, you wouldn’t get far without great technical sophistication. You’d need Ph.D.-level data scientists just to create a predictive model, and they’d have to understand how the parameters they’re feeding into the model control the outputs. 

Apr 13, 2016 - by Art Shectman

Part 1 in a 3-part series on thriving with the Internet of Things

The volume of data in today’s world seems to be immense, big enough so that we can talk about “Big Data,” but this may well turn out to be only the beginning. There’s every reason to believe that, when it comes to data, we’re actually living in an antediluvian moment. We think we’re dealing with volumes of data that deserve to be called “big,” but the flood is yet to come.

Mar 24, 2016 - by Art Shectman

At Elephant Ventures, we live and breathe big data and analytics, but our work doesn’t take us into every nook and cranny of the big data world on a regular basis. Like most firms in the big data arena, we work in mainstream areas in fields like marketing, advertising, manufacturing, finance, health, and national security.

But you can’t spend big chunks of your time thinking about big data without becoming aware of some of the niche applications that put big data to some interestingly specialized purposes.

Mar 17, 2016 - by Art Shectman

This is part 2. Please see part 1 here.

We begin with a gaming industry, as data-driven as it knows how to be, that’s struggling to attract the important millennial demographic to a casino’s most profitable offering, the slot machine.

What’s keeping millennials away?

One flattering answer is that they’re just too smart.

Mar 09, 2016 - by Art Shectman

What comes to mind when you hear the words “gaming industry?”

Your answer may well depend on your age.

For baby boomers and some Gen X-ers, the words are most likely to conjure images of slot machines, blackjack tables and buffets that never end.

Sep 16, 2015 - by Art Shectman

What Innovators Need to Know about DevOps to Mitigate Risk and Accelerate Their Ventures

Nov 04, 2014 - by Art Shectman

In my experiences in the direct marketing and lead generation world, I keep feeling that the gaming industry in the US is missing a MASSIVE body of knowledge around how affiliates have been operating for decades in industries that are just a regulated as gaming.

Pages