Hard work pays off, and that’s certainly true of one ISE team member, who is first in the state of Iowa to receive his ICAgile Certified Expert in Agile Coaching (ICE-AC) credential. Andrew Smith, Principal Architect at ISE, is the first individual in Iowa with this distinction, and among only a handful in the Midwest.
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In part 1 of this two part blog post I talked about why you should start using Machine Learning. In particular, I discussed that the barriers to entry in Machine Learning are going down, and although applying it to your business problems may not be easy, it is definitely within reach and can yield great benefits. In part 2, I would like to offer three guiding principles on how to start using Machine Learning.
In my previous post, I introduced the idea of the Minimally Viable Innovation System (MVIS) as a low cost repeatable process that companies can implement to drive innovation in their organizations. In this blog post, I will describe in general terms how this process works, and how it can be implemented in 90 days.
“We believe that every successful new application built today will be an intelligent application,” says Soma Somasegar, venture partner at Madrona Venture Group and former head of Microsoft’s Developer Division. Indeed, we are in a transition period where the barriers to entry in Machine Learning are going down dramatically. And at the same time, more individuals and businesses are seeing the potential of Machine Learning to improve existing products and services and to enable completely new applications. The time is now for both software developers and businesses of any size to start using Machine Learning to create more powerful user experiences and bring new ideas to the marketplace.