The artificial intelligence (AI) market is growing at lightning speed. However, AI platforms come in different shapes and sizes that may not suit the industrial environment or the right power users. For example, some AI platforms are built for cross-vertical purposes, such as health, finance, logistics and retail. While these platforms may provide a horizontal offering, industrial companies need the depth of industrial-specific expertise that can manage the volume, variety and velocity of industrial data, and the variability that is typical in industrial environments.

Not all AI platforms can stand up to the complexities of the chemicals sector. So, when it comes to empowering the chemicals industry, generic AI platforms will simply fail. What’s more, some AI platforms are built for data scientists. However, the demand for data scientists globally far outstrips supply, and not all industrial companies may want to invest in teams of data scientists to fuel their AI strategy. By taking this approach, industrials also risk leaving the subject matter experts on the sidelines during the digital transformation of their operations. Instead, chemical companies should consider an Industrial AI platform that is built to support industrial operational environments and empowers industrial operators.

In this webinar, learn about the key capabilities that chemical companies need when they implement an Industrial AI platform.  Join Forogh Askari, Industry Lead at Canvass AI and Lloyd Colegrove, Dow retired, as they discuss the key challenges facing the chemicals sector, how Industrial AI can solve them, and how chemical engineers can successfully adopt and scale it across their operations.
Monday, April 18, 2022 · 11:00 a.m. Eastern Time (US & Canada) (GMT -4:00)
  • Key Challenges for the Industrial Sector
  • Key opportunities for Industrial AI and chemicals
  • Why Generic AI Platforms fail
  • What does an Industrial AI Platform look like
  • How to make AI successful for chemical operations
Forogh Askari
AI Industry Expert, Canvass AI
Forogh Askari is Manufacturing Industry Lead at Canvass AI, a software provider that makes AI accessible to industrial engineers. In her role, Forogh enables and educates users on the benefits of using AI in industrial operations, thus bridging the divide between industrial process engineers, data science and machine learning. Prior to joining Canvass, she held similar roles at major industrial-focused technology companies, where she worked with manufacturing and oil and gas companies to develop their digital transformation initiatives through process automation and data analytics.

Forogh has a Bachelor of Applied Science degree in Chemical Engineering from the University of Waterloo.
Lloyd Colegrove
Lloyd F. Colegrove retired after a 29-year career at Dow, as the Director of Data Services and the Director of Fundamental Problem Solving within Manufacturing and Engineering. He was also the Analytics Platform Director for Dow’s Manufacturing and Engineering’s Industry 4.0 program. Lloyd’s background is in Chemical Physics where he obtained a B.S. and Ph.D. from Texas A&M University. He spent 7 years in Polymer Research in Dow (R&D and TS&D) before moving into Manufacturing in an analytical measurement improvement role for plant quality assurance activities and then as a global quality leader for five Dow businesses. He then moved on to establish a new capability called Fundamental Problem Solving, where top chemists and engineers work on complex, often multi-effect, plant problems. With this established, he refocused his efforts working to establish the Data Services group that has developed and deployed novel analytics applications to improve data-based decision making in chemical operations. These efforts have been recognized with many industry awards. Lloyd consults on real time analytics, artificial intelligence in the chemical industry, and process improvement strategies He is married with two daughters and is an avid cyclist, wilderness backpacker and landscaper.
Scott Jenkins
Senior Editor/Moderator -- Chemical Engineering magazine
Scott Jenkins has been an editor at Chemical Engineering since 2009. Prior to joining CE, Scott worked in various capacities as a science journalist and communications specialist, reporting and writing on a variety of sectors, including chemical processing, biotechnology, pharmaceutical manufacturing and research policy. He also has industry experience as a quality assurance chemist and research experience as a synthetic organic chemist. Scott holds a bachelor’s degree from Colgate University, and a master’s degree in chemistry from the University of North Carolina at Chapel Hill.
Alexa Hurban