Infotec 2019

After a Tech degree and a Masters in Econ, when first presented with the challenge to run a Machine Learning team, I was stopped in my tracks. I was on board with statistical models and predictive analytics, but how could machines learn? What was the “black box” between data inputs and outputs that, especially today, is causing so much sensation, anxiety and optimism? This is no longer a mystery for us and hopefully, what we learned in many months, I can shorten for you in a single presentation. In this session we will discuss the key ingredients for a successful Machine Learning start:
• What do we mean when we say “Machine Learning”?
• What you need to get ML going in your organization and the executive support for such initiative?
• How do you obtain the right talent or, if you are the talent, how do you transition in a Machine Learning role?
• When all is said and done, how do you deploy your Machine Learning efforts?
There is a real human and financial impact behind all the hype of Machine Learning and Artificial Intelligence. If we position ourselves and our society accordingly, the age of AI will make a bigger positive impact than any other economic revolution in the past. Let’s help you begin this journey.