Live Webinar October 13th, 2022 2:00 pm – 3:00 pm EDT
Activity Type: Education – Course or Training  1 Hour  1 PDU free
Provider:  Modern Analyst

We all would love to be more proactive and anticipate problems so that we can take steps to solve them before they occur (if indeed, it is possible to solve a problem before it is one).

While there are people who seem to have a knack for predicting, especially problems, few of us have trained with Nostradamus and learned the art of prognostication.

We do have, however, some tools that will provide some direction if not some actual answers.

Predictive analytics, diagnostic analytics and prescriptive analytics coupled with machine learning technology can go a long way to predicting problems and suggesting solutions, which in many cases is simply taking actions to avoid the problem in the first place.

This webinar addresses project managers, business analysts and other non-data scientists and non-developers and provides guidance as to how machine learning and analytics can provide some insight into the future of your projects and products provided the right questions are asked.

It will also address the issue of asking the right questions.

Presenter: Steven P. Blais, PMP, PMI-PBA (LinkedIn profile) is an author, consultant, teacher and coach  and has over 45+ years of information systems experience in technology management, consulting and marketing positions. Specializing in the design and installation of business-oriented accounting systems and databases for commercial and government clients in the distributed environment; he develops business analysis and agile processes and trains business analysts, project managers, and executive for organizations around the world.   Steven is the author of Business Analysis: Best Practices for Success (John Wiley, 2011) and co-author of Business Analysis for Practitioners: A Practice Guide (PMI, 2014) and a contributor to the A Guide to the Business Analysis Body of Knowledge (BABOK Guide), V3 (IIBA, 2015).

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Find Problems Before They Occur With Machine Learning & Analytics

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