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Explorers Series

Unearth the possibilities in your data

Lecture & Lunch

Predictive Modeling for the Smart Technology Era

Date: September 24, 2019
Time: 9:00 am - 1:30 pm
Location: Grand Hyatt Manila, 8th Avenue corner, 35th St, Taguig, 1634 Metro Manila, Philippines
Registration & Lunch: Free

See Agenda

There’s no doubt the advent of smart technology has fundamentally transformed the industrial landscape. Cloud computing, IoT, machine learning and the Industry 4.0 movement have created connectivity for smart production facilities, generating a digital convergence between industry, business and internal processes. We now have access to more metrics, more frequently and from more data sources, than ever before.

In a time of intense change for manufacturers, the deluge of data should be seen not as an insurmountable challenge, but as an opportunity to shift the improvement paradigm. And analytics is the key to solving these improvement challenges. A robust approach to predictive modeling is essential to deriving benefit from a range of machine learning and IoT applications. That’s why it’s important for you and your organization to invest in democratizing analytics by bringing statistical tools in-house, rather than spending on black box or centralized analytics solutions.

In this one-day seminar, we will explore improvement opportunities within the context of big data and production. Drawing from several recent industry case studies, we’ll show how some companies are leading the way in leveraging integrated data mining and predictive modeling to achieve unprecedented process improvements. And we’ll highlight why JMP® and JMP® Pro are the tools of choice for accessing and mining data to exploit the unprecedented opportunities to improve production processes.

You will learn to:

  • Make use of new and historical data to identify opportunities for process improvement with predictive and exploratory modeling.
  • Drive improvement opportunities and business decisions with robust statistical models, not just anecdotes.
  • Find relationships from prior data consisting of many noisy variables.

Please register for the event. Registration and lunch are free, but spaces are available on a first-come-first-serve basis. Due to limited capacity, we can guarantee no more than three spaces for each company. Once your registration has been confirmed in the week before the event, you will receive a unique ID by email.

Register now to attend in Manila.

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** Please note that limited seating is available. Attendance will be on a first come, first served basis.

McCormack, Don

Don McCormack is a Principal Technical Enablement Engineer for JMP. A practicing statistician for nearly 20 years, McCormack came to JMP from Amgen, one of the world’s largest biotechnology companies, where he worked as a senior quality engineer. Previously, he served as Member of Technical Staff at SEMATECH, a semiconductor research and development consortium. He has a strong interest in applied statistics, design of experiments and training delivery in an industrial setting.

Hu Pin

Pin Hu supports customer development and sales in the Southeast Asian region as Systems Engineer for JMP. Prior to joining JMP, Hu spent more than 16 years in the semiconductor industry where she specialized in process integration and product testing. She has over 5 years of experience as a Six Sigma coach and trainer in engineering statistics and data analysis.

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