Category: | Data Science

Is it possible to hammer in a nail with a jackhammer? Well sure, but obviously it would be better to have a hammer. A few months ago we paid a visit to a company that was very excited to tell us they were doing data science. As they explained the project it became painfully obvious

Remember the Ginsu 2000 commercials in the ‘90s? By the end of the commercial you were convinced that you couldn’t live without such a powerful cutting utensil. “But wait there’s more…!”

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Right around 2003 the United States went through a bandwidth revolution. And suddenly it got cheaper to use bandwidth. However, in the IT space, most solutions and vendors were still carefully designing their solutions to closely guard bandwidth. But some organizations were already embracing this newfound bandwidth like salesforce.com. In their tow, other disruptive vendors began chipping

When you're in the early stages of a tech startup, you're at a unique and golden moment. Flexibility and free thinking abounds because nothing has been built yet. The moment you choose a direction to take your company, and you put work into that direction, you begin to build rigidity. The increasing rigidity that occurs

In 1999 Warren Buffett coined a phrase during an interview that became an “aha moment” for investors.  He said, “The products or services that have wide, sustainable moats around them are the ones that deliver rewards to investors.” In other words having a product or service which is hard for new entrants to replicate is

If you've worked in or around the enterprise software industry for any significant period of time, then you've seen a lot of technical evolution over the years. What most people don't see is how those technical evolutions play out behind the scenes with software vendors. It usually begins with some kind of start up (which

Allright I know that I’m going to ruffle some feathers here, but… Why is Hadoop dying? It was once the darling of the corporate data management space. Boardroom meetings suddenly had line items about Big Data Strategies, and some of the distributions booked record levels of venture capital funding. But today, nobody cares. Why is

For decades, manufacturers basically had a race to become the cheapest at what they produce, because they had little leverage when it came to differentiation. But as measurement devices and back end data systems have modernized; a whole new world of opportunity has opened up. This is because the manufacturer's products could be combined with

Thinking about the high technologies of our modern lives, it is humbling to realize that what we take for granted today is built on top of mathematical and scientific discoveries made thousands of years ago.  For example, around 4000 years ago, the people of Babylon knew how to solve a simple 2X2 system of linear