Author: Cal Al-Dhubaib / Originally posted to AI News If you ask ten different data practitioners to define AI, you’ll get ten different answers. In its simplest form, AI is software that recognizes and reacts to complex patterns—but the way
By Hannah Arnson & Joseph Homrocky Data science is often thought of as a black box – in goes data, outcomes actionable information. Inside that black box lives a complex mix of programming, mathematics, statistics, hardware, and software, each
There is no doubt that data science is revolutionizing the business world and the companies that aren’t investing in it are being left behind. With all the hype around the data scientist, with skills that span advanced mathematics, database manipulation, statistical
Midwest Industrial Supply Case Study – September 26, 2018 Midwest Industrial Supply specializes in environmentally friendly dust control applications, operating out of a series of regional satellite offices. When pricing a new spray opportunity, the sales team is incentivized to
A large sales organization recently implemented an analytics strategy, with one of their critical metrics being lead conversion. The target number was set and reporting tools were put in place. Each sales team was scored on this metric, and the
As we usher in 2018, organizations are faced with new challenges but also many of the same that come year after year. What we didn’t get to in 2017 still stares us in the face. Was data strategy one of
Creating a data science team requires painstaking precision. We believe that it should be multifaceted. Not only should it consist of data scientists, with different specializations and disciplines, but it also requires a strong support system to round it out.
What is GDPR? GDPR or General Data Protection Regulation is a set of rules governing the use of personal data. It goes into effect on May 25th, 2018. In the EU, GDPR replaces a multitude of laws, from the existing