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Find Problems before they occur with Machine Learning and Analytics

Modern Analyst Webinar

When & Where

Thursday, October 13, 2022 @ 11:00
(PST Pacific Standard Time GMT-8:00)



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.

Featured Sponsor: TBD

Featured Speaker: Steve Blais

Steve Blais, PMP, PMI-PBA, is an author, consultant, teacher and coach who has nearly 50 years’ experience in Information Technologies working as a programmer, project manager, business analyst, system analyst, general manager, and tester. He has also been in an executive position for several start-up companies. He develops business analysis and agile processes and trains business analysts, project managers, and executives for organizations around the world. He 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 Business Analyst Body of Knowledge, V3 (IIBA, 2015).

More Details

Starts 10/13/2022 @ 11:00
(PST Pacific Standard Time GMT-8:00)
Ends 10/13/2022 @ 12:00
(PST Pacific Standard Time GMT-8:00)


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