Energy Round Table with TigerGraph

Energy Round Table with Graph & ML

April 1, 2020
9:00 am
CT  /
7:00 am
EST

April 1, 2020
3:00 - 4:00PM BST 
4:00 - 5:00 BST+1

The focus of this webinar is to identify how Graph and Machine Learning can directly affect the high value use cases in Energy - Transmissions - Pipelines - Field based IoT - Networks. This event is designed as a 'Speed Dating' format with focus on key topics for under 15 minutes in order to maximize the insights. During this online meetup, you'll learn from our experts on how Expero and TigerGraph technology can unlock the potential in your organization. We will feature unique TigerGraph and Expero technology lightning talks, followed by a short Q&A. Four bite sized informative sessions to learn how to use TigerGraph and Expero to maximize the effectiveness of your business.

What You'll Learn: 
- Energy and IoT connected systems - why SQL and current ML approaches fall short
- How utilizing Graph can cut costs by 10%
- Drive real-time & predictive decisions while increasing velocity
- Detailed review of ML methods and approaches combined with Graph to realize the accuracy increase
- Using Graph and ML to increase accuracy of Energy - Transmission - IoT determinations by 20%

WHAT YOU'LL LEARN

THIS WEBINAR IS PRESENTED BY

Scott Heath
Scott Heath
VP Customer Success
,
Expero

As Chief Revenue Officer, Scott is responsible for Expero's sales, marketing and strategic business development efforts. On an average day, you'll find him on the phone, at the whiteboard, or just gesticulating wildly in someone's office. Scott is skilled at distilling the Expero team's vast knowledge and experience into manageable, accessible and cohesive buckets.

Graham Ganssle, Ph.D., P.G.
Graham Ganssle, Ph.D., P.G.
Data Science Practice Lead
,
Expero

Dr. G loves data. His favorite part of work is daydreaming up innovative solutions to quantifiable problems and planning an implementation strategy. Building intelligent systems is his passion whether it's automated derivatives trading bots, adaptive image processing algorithms, or autonomous musical composers. Whether deep learning is the optimal solution or not, helping customers succeed through solving their analytics problems is where Graham finds the most satisfaction.

,
Expero

Dr. G loves data. His favorite part of work is daydreaming up innovative solutions to quantifiable problems and planning an implementation strategy. Building intelligent systems is his passion whether it's automated derivatives trading bots, adaptive image processing algorithms, or autonomous musical composers. Whether deep learning is the optimal solution or not, helping customers succeed through solving their analytics problems is where Graham finds the most satisfaction.

April 1, 2020
9:00 am
CT /
7:00 am
EST

Hi there,

You are invited to a Zoom webinar.
When: Apr 1, 2020 09:00 AM Central Time (US and Canada)
Topic: Energy Round Table with TigerGraph

Please click the link below to join the webinar:
https://experoinc.zoom.us/j/936713016

Or iPhone one-tap :
   US: +16699006833,,936713016#  or +16468769923,,936713016#
Or Telephone:
   Dial(for higher quality, dial a number based on your current location):
       US: +1 669 900 6833  or +1 646 876 9923
   Webinar ID: 936 713 016
   International numbers available: https://experoinc.zoom.us/u/acyzwJn6K

Add to Calendar
Add to Calendar April 1, 2020 09:00 AM April 1, 2020 10:00 AM America/Chicago Expero Online Seminar: Energy Round Table with TigerGraph Hi there, You are invited to a Zoom webinar. When: April 1, 2020 09:00 AM Central Time (US and Canada) Topic: Energy Round Table with TigerGraph Please click the link below to join the webinar: https://zoom.us/j/936713016 Passcode: Or iPhone one-tap : US: +16699006833,,936713016# or +16468769923,,936713016# Or Telephone: Dial(for higher quality, dial a number based on your current location): US: +1 669 900 6833 or +1 646 876 9923 Webinar ID: 936713016 International numbers available: https://zoom.us/u/acsMb87P67 Online Organizer sales@experoinc.com false 11/01/2017 aQLrFIbcEzIdjnmocmhs26086
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