Software Ate the World and Now the Models Are Running It

Along with our data ecosystem partners, we are seeing unprecedented demand for solutions to complex, business-critical challenges in dealing with data.

Consider this. Data Engineers walk into work every day knowing they’re fighting an uphill battle. The root of the problem – or at least one problem – is that modern data systems are becoming impossibly complex. The burgeoning amount of data being processed in organizations today is staggering, where annual data growth is often measured in high double-digit percentages. Just a year ago, Forbes reported that 90% of the world’s data was created in the previous two years.

Big Data Predictions for 2019

In addition to the minds inside Unravel Data, we have a team of advisors that have a phenomenal track record of entrepreneurship, leadership, and engineering. Two of them had some keen perspectives to share on what 2019 for big data. Over the course of the next two blogs, we’ll introduce you to Herb Cunitz and Tasso Argyros as they outline their take on what’s in store for Big Data in 2019.

Customer and vendor activity continued to accelerate in 2019 and all indications are that we’ll continue to see innovation advance at pace and to see how modern data applications are helping companies of all types be more competitive and drive more value to the bottom line. Over the next few weeks, we thought it would be informative to solicit some points of view on what’s next for Big Data in the coming year from people who have been in it and leading that change for the past number of years. Our First guest is Herb Cunitz, principal owner of AccelG2M.

Fuel Your Blog