During this session, you will hear from our editors at POWER magazine and Chemical Engineering magazine. They will do an industry highlight and review some of the new and outstanding technologies that will be on display throughout the week. They will also work with a few vendors to showcase specific products to give a quick peek into the technology displays on the show floor prior to the opening.

• Scott Jenkins, Senior editor, Chemical Engineering Magazine
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  Scott Jenkins

  Senior editor

  Chemical Engineering Magazine

  
• Sonal Patel, Senior Associate Editor, POWER magazine
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  Sonal Patel

  Senior Associate Editor

  POWER magazine

  

  A national award–winning multimedia journalist, Sonal Patel has covered a wide range of technology, business, and policy issues affecting the power industry worldwide for POWER and its sister publications since 2008. Along with keeping her eye on national and international matters for POWER magazine’s monthly department Global Monitor, she contributes in-depth analysis and spot news pieces for POWER and POWERnews. She also surveys, crunches, and visualizes power generation data and trends from around the world for POWER’s web and print infographics and other multimedia. She is a graduate of the University of Houston.
• Marc Gallant, VP Partnerships, Canvass AI
  Canvass AI platform

  Canvass AI platform

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  The Canvass AI Platform puts the power of industrial AI in the hands of engineers by providing an easy-to-use no-code platform to apply and scale AI across their operations. It works for industrial engineers (process engineers, production engineers, reliability engineers, maintenance engineers, environmental engineers, operation engineers) by empowering them with the data-driven insights they need to augment their expertise and control operations, without requiring coding expertise or relying on 3rd party consultants. Built specifically for industrial’s operational challenges, industrial companies use Canvass AI to reduce greenhouse gas emissions and operating costs each year by optimizing processes and assets, improving quality, and reducing waste.
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  Marc Gallant

  VP Partnerships

  Canvass AI

  
• Amanda Hunter, Service Solutions Consultant, Grundfos
  Grundfos Machine Health

  Grundfos Machine Health

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  Amanda Hunter

  Service Solutions Consultant

  Grundfos

  

  Amanda Hunter is a Service Solutions Consultant for Grundfos U.S.A focused on digital and service solutions for the southwestern United States. For the past 6 years, Amanda has focused on innovation in many industrial settings, including across both compressed air and pump markets. Growing up in Indiana, Amanda graduated from Purdue University and received her Master’s degree from Indiana University before moving to Dallas, TX where she now resides with her spouse and two dogs. In her free time, Amanda enjoys spending time outdoors hiking, camping, and kayaking and playing sports like rugby and volleyball.
• Chris Kuntz, VP of Marketing, Augmentir Inc
  The forgotten Frontline Worker – Completing your Digital Journey with a Connected Workforce

  The forgotten Frontline Worker – Completing your Digital Journey with a Connected Workforce

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  - Advancements in digital technology have helped many industrial companies accelerate their digital journey - However, a forgotten piece of the digital transformation equation has been the frontline worker - Learn how AI and Connected Worker technology are empowering the future generation of frontline workers
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  Chris Kuntz

  VP of Marketing

  Augmentir Inc

  

In this session, speakers will share a case study on a project named POWER magazines 2020 Plant of the year and IIoT tools you can use to take the next step in your digital journey.

• Rhyan Endres, Chief Technology Officer, NubisAI, Inc.
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  Rhyan Endres

  Chief Technology Officer

  NubisAI, Inc.

  
• Christophe Romatier, Product Director for Process Performance, Honeywell Connected Enterprise (Connected Industrial)
  Everyday Application of Digital Process Solutions & Autonomous Operations

  Everyday Application of Digital Process Solutions & Autonomous Operations

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  Today, process models now run in the cloud and provide feedback, insights, and guidance to operations and planning. Process Digital Twins bring process visibility across all business units. Learn how plant-wide optimization and autonomous operations are made possible by these IIoT solutions. Let Honeywell take you to the future of connected plant technology.
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  Christophe Romatier

  Product Director for Process Performance

  Honeywell Connected Enterprise (Connected Industrial)

  

  Christophe is the Product Director for Process Performance for Honeywell Connected for Industrials. Prior to his current role, Christophe has held a variety of roles at both UOP and Honeywell Process Solutions with the consistent goal of improving the reliability and profitability of operating companies in the process industries. He earned a joint Master’s degree in executive engineering and computer science from the Ecole des Mines de Saint Etienne in France, and an MBA from the Kellogg School of Management at Northwestern University. He also holds two patents in this space.
• Marco Sanchez, Vice President and Head of Intelligent Solutions, Mitsubishi Power
  Mitsubishi Presentation: Going Beyond Digital to Achieve the Autonomous Power Plant

  Mitsubishi Presentation: Going Beyond Digital to Achieve the Autonomous Power Plant

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  Mitsubishi Power built its own ultramodern, grid-connected T-Point 2 facility featuring the M501JAC gas turbine and TOMONI intelligent solutions to ensure not just the reliability and performance of advanced class gas turbines, but also of advanced controls with intelligence, auxiliaries and supporting systems. With the integration of TOMONI digital solutions, T-Point 2 has added flexibility, reliability, O&M support and performance enhancements that form the building blocks for the smart, autonomous power plant of the future. Additionally, new digital technology is being developed for IPP-LADWP which will be the most advanced power plant in the Americas. TOMONI Voice will serve as the customer focal point to access the customer’s digital content and connect to Mitsubishi Power.
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  Marco Sanchez

  Vice President and Head of Intelligent Solutions

  Mitsubishi Power

  

  Marco is responsible for leading the Intelligent Solutions Division at Mitsubishi Power Americas, a major equipment supplier, energy solutions provider and Power Generation Services for the power industry. The Intelligent Solutions team’s mission is leverage AI and Advance Technologies to drive customer value. The division is responsible for integrating and optimizing the NETMATION DIASYS Controls Solutions Business, TOMONI digital solutions and the deployment of the Autonomous Power Plant. Prior to his current role, Marco was the Vice President of Service Sales for Power Generation Services where he and his team continuously achieved business objectives. During his tenure in the Service Sales organization, he held numerous leadership roles in various regions and helped expand the company’s footprint in the Americas. Marco joined Mitsubishi Power in Feb. 2008. Marco earned his BS in Industrial Engineering and an Executive MBA from the University of Central Florida.

Given digitalization’s current trajectory, what does the future hold for the Internet of Things and the Industrial Internet of Things? Presenters will discuss emerging approaches to data monitoring and asset management.

• Michael Ruszkowski, Senior Program Manager, EPRI Electric Power Research Institute
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  Michael Ruszkowski

  Senior Program Manager

  EPRI Electric Power Research Institute

  
• Arlen Nippers, President & CTO, Cirrus Link Solutions
  Current and Future Landscapes of IOT, IIOT and Digital Transformation

  Current and Future Landscapes of IOT, IIOT and Digital Transformation

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  In this presentation learn more about the original origins of MQTT and how over the last 22 years it has emerged as a dominate IoT/IIoT/Digital Transformation tool. • MQTT has emerged as the dominate IoT/IIoT message transport for all of the major cloud service providers (Microsoft Azure, AWS IoT Core, Google Cloud Platform, IBM Watson IoT…) • MQTT was invented in 1999 for Phillips 66 Midstream pipeline for a better, faster, more secure, more efficient mission critical pipeline control system. • Although MQTT was invented originally for OT, it was adopted largely by IT….. MQTT - Invented for OT, Adopted by IT, Now Ready for your Digital Transformation journey.
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  Arlen Nipper

  President & CTO

  Cirrus Link Solutions

  

  Arlen Nipper is the President and CTO for Cirrus Link Solutions. Arlen has over 40 years of experience in the SCADA industry. Over his career, he has worked for Amoco and Koch Oil and then served as the President and CTO of Arcom Control Systems and Eurotech. His experience covers a broad range of technology, from the design and manufacture of embedded computer systems to complete SCADA system infrastructure implementations for many companies. Arlen is also the co-inventor of MQTT, a SCADA message transport, in conjunction with IBM, and has over 20 years of experience designing high-performance SCADA systems using MQTT and message-oriented middleware. He was also involved in many of the activities that have recently led to MQTT becoming the dominant IIoT messaging standard.
• Eric Moser, Production Group Engineer, The Shepherd Chemical Company
  Data Driven Batch Monitoring for Proactive Operations

  Data Driven Batch Monitoring for Proactive Operations

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  A Presentation of use cases from batch manufacturing of metal-based precipitates. Applying advanced analytics to time series data for interpretations of historical plant performance and applying feature engineering to build proactive monitors. Utilizing advanced self-service analytics platform to operationalize the monitors into email alerts, dashboards, and event labeling for historical context. Utilizing context as a starting point for collaboration within self-service analytics platforms.
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  Eric Moser

  Production Group Engineer

  The Shepherd Chemical Company

  
• Bernie Cook, Executive Vice President, Woyshner Services Company
  Digital Transformation Journey to (AI-enabled) Asset Management Excellence

  Digital Transformation Journey to (AI-enabled) Asset Management Excellence

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  Digital Transformation initiatives across the energy industry have generated over the past decade significant value for several early adopters. This value was derived from O&M process enhancement and automation, application of advanced equipment monitoring and asset performance management technologies, and increasing personnel capabilities. In this presentation, we will share our experiences with Digital Transformation implementations focused on improving plant Asset Management (AM) and Equipment Reliability (ER) processes. We will discuss some critical steps of a successful journey toward AM and ER excellence such as establishing a common vision and goals, understanding organization’s process and technology maturity, and alignment of advanced monitoring, prognostic, and AI technologies with fundamental engineering principles.
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  Bernie Cook

  Executive Vice President

  Woyshner Services Company

  

  Bernie Cook is an Executive Consultant supporting industry with implementing new IIOT equipment reliability process and technology solutions to address today’s significant reliability and cost challenges. He is a retired power utility professional from Duke Energy with over 40 years of experience implementing advanced technologies to support operations and maintenance improvements. He was the former Director – Maintenance & Diagnostics, responsible for implementing Duke Energy’s Equipment Reliability Programs including the Monitoring & Diagnostic Center and Duke Energy’s SmartGen Project, an industry leading Advanced IIOT Infrastructure of over 35K sensors and advanced analytics in over 50 power plants. Since retiring and partnering with WSC, he is sharing his experience with other companies to help them streamline the implementation of new continuous online monitoring technologies and integrate into their equipment reliability program.
• Slavek Zaremba, Chief Technology Officer of Predictive Maintenance, SparkCognition
  Digital Transformation Journey to (AI-enabled) Asset Management Excellence

  Digital Transformation Journey to (AI-enabled) Asset Management Excellence

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  Digital Transformation initiatives across the energy industry have generated over the past decade significant value for several early adopters. This value was derived from O&M process enhancement and automation, application of advanced equipment monitoring and asset performance management technologies, and increasing personnel capabilities. In this presentation, we will share our experiences with Digital Transformation implementations focused on improving plant Asset Management (AM) and Equipment Reliability (ER) processes. We will discuss some critical steps of a successful journey toward AM and ER excellence such as establishing a common vision and goals, understanding organization’s process and technology maturity, and alignment of advanced monitoring, prognostic, and AI technologies with fundamental engineering principles.
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  Slavek Zaremba

  Chief Technology Officer of Predictive Maintenance

  SparkCognition

  

  Slavek Zaremba is CTO for Predictive Maintenance solutions at SparkCognition where he is leveraging his 20+ years of experience in the area of AI, power generation, and utilities. Before joining SparkCognition he worked for 8 years at NextEra Energy where he led remote operations, monitoring, and analytics teams for all of the company's generation equipment (over 120 sites, 40GW) and drove the introduction of new data analytics technology. Before that he worked for 12 years at GE Energy with the focus on predictive analytics, remote monitoring & diagnostics, and implementation of AI technologies to power generation and smart grid operations.

Achieving extraordinary results with digital tools at power generation and chemical process facilities requires extraordinary people. The editors of POWER and Chemical Engineering magazines' are proud to recognize the achievements of individuals or teams who are "Game Changer" champions. The winners of this award are fast risers in the field who, through insight and experience, have contributed to innovation, solved problems, or made extraordinary improvements using digitalization solutions. Join us in celebrating their achievements.

Most chemical process industries (CPI) and power-generation companies have by now embarked upon a journey toward realizing a vision for the artful use of large structured and unstructured data sets for real-time plant operation and problem solving. But in many cases, the story of this journey is one of technology, salesmanship and the difficult work of convincing companies that have been in love with Excel spreadsheets and after-the-fact problem solving that significant value lies in already collected, but often under-utilized, data sets. Part of the story involves the application of artificial intelligence (AI), but AI is not the solution – it is a solution. Through the use of volunteer audience participation and a few artful stories, this talk will discuss real-time analytics success stories that are actually simpler than “AI”-infused solutions. It will also discuss where AI fits in the CPI and power sectors, and highlight some experiences from 30 years of engagement in chemical manufacturing that can bring tremendous bottom-line value to your operations.

• Lloyd Colegrove, Writer/Retired Data Services Director at Dow Chemical, Independent Consultant
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  Lloyd Colegrove

  Writer/Retired Data Services Director at Dow Chemical

  Independent Consultant

  

  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.

Eastman recently introduced Fluid Genius, a digital platform designed for plant maintenance engineers and operations managers in all processing industries to optimize heat transfer fluid performance. The platform combines artificial intelligence (AI) and machine learning (ML) with decades of Eastman expertise to equip decision makers with predictive analytics for heat transfer fluid performance optimization. In this session, we will share Eastman’s broader vision of digital applications in processing, how we are resourcing, products developed to date, and future aspirations. For the current application of Fluid Genius, we will guide attendees through the process used to transition from past best practices for fluid quality monitoring into the visionary model of fluid quality and performance management of the future. You will hear how Eastman is unleashing the value of industry asset data by merging decades of process expertise with a team of data scientists, and we will share what we’ve learned.

• Conrad Gamble, P.E., Sr. Application Development & Technical Services Representative, Eastman Chemical Company
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  Conrad Gamble, P.E.

  Sr. Application Development & Technical Services Representative

  Eastman Chemical Company

  

Digitalization and Industry 4.0 are as much about humans as they are about digital technologies. Understanding how humans interact and use technology are just as important as the technology’s attributes. This session will explore how equipment experts can integrate capabilities with data scientists; where wearable technologies are best suited; and how digital professionals can garner support and buy-in for digital initiatives. It will also explore how job profiles could shift in the future.

• Steven Ford, Compliance & Support Manager, Plant Barry, Southern Company
  Next steps in a Digital Journey

  Next steps in a Digital Journey

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  Steven Ford

  Compliance & Support Manager, Plant Barry

  Southern Company

  

  Steven Ford is currently the Compliance & Support Manager at Alabama Power's Barry Steam Plant located in Bucks, Alabama. He also serves as the chairman of the Southern Company Technology Leadership Team tasked with ensuring system-wide cost-effective, reliable, and efficient technology solutions supporting the business unit strategy. Steven has worked in leadership roles with increasing responsibility across multiple plant sites in Georgia Power, Gulf Power, and Alabama Power. These roles include Operations Manager, Maintenance Manager, Engineering & Planning Manager, and Plant Manager. He has leadership experience in both coal & natural gas-powered generation, including supercritical, combined cycle, and co-generation technologies supporting some of the state's largest chemical plant customers. In the Spring of 2020, Steven supported the Generation fleet as the COVID Pandemic Coordinator engaging cross-functional support from Supply Chain, Human Resources, IBEW Leadership, Disability Management, and Corporate Compliance to meet the evolving needs of employees working at our generating facilities. Steven believes that being a part of the Alabama Power Generation leadership team allows him to foster a safer working environment, create meaningful professional developmental opportunities for his team, and find ways to improve our generating product through integrated technology. Steven graduated from Georgia Tech with a Bachelor's in Civil Engineering, Georgia State University with a Master's in Business Administration, and Birmingham School of Law with a Juris Doctorate. Steven is married, has four children, and lives in Fairhope, Alabama. In his spare time, Steven enjoys working on cars, playing golf, and spending time traveling with his family.
• Stephen Kwan, Director of Product Management for Power Generation/Grid Management, Beyond Limits
  The Nexus of AI and Human Knowledge in Plant Operations

  The Nexus of AI and Human Knowledge in Plant Operations

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  Stephen Kwan

  Director of Product Management for Power Generation/Grid Management

  Beyond Limits

  

  Stephen Kwan is Director of Product Management for Power Generation/Grid Management at Beyond Limits, an industrial-grade AI company that builds advanced software solutions for the most demanding sectors, including energy, utilities and healthcare. Stephen has over 25 years of experience in product management and engineering, holding previous positions in the product organizations at OSIsoft and GE Energy. Stephen holds a BS in Engineering Chemistry from SUNY Stony Brook and a Ph.D. in Materials from Pennsylvania State University.
• Matt Buck, Senior Technical Leader, EPRI Electric Power Research Institute
  The Role of the Digital Worker in a Transitioning Energy Industry

  The Role of the Digital Worker in a Transitioning Energy Industry

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  - This would provide an update of work in this area and how utilities are leveraging DW tools. DW’s role and new ways to carry out work with COVID was an interesting thing that was worked on in 2020.
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  Matt Buck

  Senior Technical Leader

  EPRI Electric Power Research Institute

  

  Matt Buck joined EPRI in 2015 after more than 16 years of operational experience in the power industry. Matt is a currently a Senior Technical Leader in EPRI’s Operations and Maintenance (O&M) research group in the Generation sector. He oversees R&D that supports plant O&M excellence. Matt’s work include O&M performance assessments, work planning, equipment reliability, and changing mission profiles for plants; but his passion is the Digital Worker concept. This work focuses on the use of advanced mobile technology to make the O&M field worker smarter, safer, and more effective.

Viewing “data as an asset” is becoming the new industry norm and companies are beginning to invest heavily in digital tools and technologies to help them leverage their data to generate valuable business insights. However, the value generated from that data is often limited by poor data quality, thereby greatly reducing the return on investment to the business. With the growing need to integrate data across different systems—both internal and external—and the expanding enterprise value chain, the need for trusted high-quality data is greater than ever before. This session will explore real-world pitfalls in data collection and review data management best practices.

• Piya Dey, Digital Products Manager, Heat Transfer Fluids, Eastman Chemical Company
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  Piya Dey

  Digital Products Manager, Heat Transfer Fluids

  Eastman Chemical Company

  

  Piya Dey is currently managing Digital Products (Fluid Genius™) at Eastman Chemical Company, a $9+ billion annual sales revenue company. In this capacity she is instrumental in discovering, building, and introducing Eastman digital products into various markets to drive new revenue streams and create market differentiation for Eastman. Prior to this role, Piya led high performing business teams through strategy and choices needed for growth and profitability. She has also led Business Enablement Digital Transformation initiatives where she set up intelligent automation organization at Eastman which utilized deep customer insight to drive process and talent transformation to win with the customers. Piya joined Eastman as the Department Head for “Application Architecture” where she managed multiple global solution development teams. Before joining Eastman, Piya held leadership roles at KeyBank and Progressive Casualty Insurance, where she managed teams responsible for delivery of solutions across various customer channels. Piya holds an MBA with a major in Asset and Wealth Management from both Carnegie Mellon University, USA and The University of Lausanne, Switzerland. She also holds a Master’s in computer application from OU, India. Piya resides in Kingsport, TN along with her husband and two sons. Piya is deeply passionate and committed to mentoring and sponsoring others as well as bringing innovative ideas to her company’s diversity and inclusiveness efforts. Outside of work, Piya enjoys dance, music and volunteering for multiple organizations and local schools.
• Jane Arnold, VP, Global SPS Strategy & Industry 4.0 Execution, Stanley Black & Decker
  Data Integrity and Sensor Health for OT and IoT

  Data Integrity and Sensor Health for OT and IoT

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  Turn industrial data into a strategic asset. Increased revenue. Reduced cost. Less downtime.
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  Jane Arnold

  VP, Global SPS Strategy & Industry 4.0 Execution

  Stanley Black & Decker

  

  Jane Arnold is the Vice President of Global SPS Strategy and Industry 4.0 Execution at Stanley Black and Decker. Her focus is to improve Digitalization in Manufacturing with a special emphasis on emerging technologies including Additive Manufacturing. Arnold is a graduate of Oxford University’s Business Economic Program and has a degree in Mathematics from the University of Houston. Arnold has over 30 years of experience in manufacturing technology and operations. She joined Stanley Black and Decker in February of 2021. FOR THOSE WHO MAKE THE WORLD™ Stanley Black & Decker became the global leader in tools by building innovative solutions and tools for more than 175 years.
• Jonas Hellgren, CEO, APERIO Systems
  Data Integrity and Sensor Health for OT and IoT

  Data Integrity and Sensor Health for OT and IoT

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  Turn industrial data into a strategic asset. Increased revenue. Reduced cost. Less downtime.
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  Jonas Hellgren

  CEO

  APERIO Systems

  

  Jonas Hellgren is CEO of Aperio Systems. Jonas has a computer science background with over 30 years of experience in software development. Aperio is the leader in industrial data integrity solutions. We help customers drive profitability and sustainability goals while mitigating risk in their industrial operations. Aperio AI automatically validates operational data at scale to improve data accuracy, security, and value, allowing for better, smarter business decisions based on real-time, trusted, superior data
• Dr. Francois Laborie, President, Cognite
  IT/OT Data Contextualization: The Key to Delivering the Connected Plant

  IT/OT Data Contextualization: The Key to Delivering the Connected Plant

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  With the rise of data engineers, citizen data scientists, and other industrial data consumer roles, why is it still that only a fraction of all industrial data created actually gets used to its full potential? The bottleneck lies in not having automation in the high-overhead process of finding meaningful data relationships across big data. This is difficult enough for homogenous data sets with thousands of variables but is significantly more challenging when mapping relationships between disparate data sources and formats across IT (ERP, work orders), OT (asset time series, events), and ET (P&ID, single line diagram) domains. Done well, contextualization can reduce data & analytics workloads by 50-90% by approximating a significant amount of industrial subject-matter expertise, empowering data consumers and application development. Done poorly, and data continues to go unused, consumers lose trust in the data they have to work with, and new applications struggle to get momentum and adoption. The good news is that emerging technology and automation is improving the process of contextualizing data from around the organization and setting up dashboarding, analytics, and machine learning applications for operationalized deployment and scale. This Connected Plant session will define how data contextualization works across IT/OT/ET data sets and explores the variety of nontraditional data sources like 3D visualizations that can be contextualized as a result. Then we’ll examine a customer case study and lessons learned from around the industry that showcase the power and scalability of a contextualized data model.
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  Francois Laborie

  President

  Cognite

  

  Francois runs Cognite's operations in North America, including offices in Houston and Austin, Texas. Previously, he managed Cognite’s overall marketing activities as Chief Marketing Officer. He spent the preceding 11 years with software company Vizrt, where he served as COO and CCO, responsible for all commercial and operational activities. Laborie has a Ph.D. from the Toulouse Computer Science Research Institute.
• Dominic Gallello, Chief Executive Officer, Symphony Industrial AI
  Taming the explosion of IIOT data with 3rd gen AI methods and more

  Taming the explosion of IIOT data with 3rd gen AI methods and more

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  Asset reliability & process professionals face an enormous challenged to tame the tsunami of data and turn it into useful information. With the advent of cheap IIOT devices, sensor data is growing 50 times faster than business data with only 2% of it actually being used! By 2025 the number of devices will double to 21 billion. These sensors can analyze multiple signals like sound frequencies, temperature, pressure and vibration to determine if a machine requires repair before it can cause a trip, or a process that can be optimized if it is handled dynamically based upon constantly changing conditions. There is not an equipment manufacturer who has not already or will be putting sensors on their assets. This data is coming from multiple sources including high frequency vibration, time series, inspection imagery & video and semi-structured and unstructured events and logs. For sure, the human mind cannot cope fast enough with this data. While AI has become an essential component of making sense of the data, AI alone is not sufficient to detect anomalies without raising a huge number of false positives and turn macro warnings about plant conditions into detailed apparent cause that focuses to the component level that can cause expensive outages or process inefficiencies. A must going forward is the ability to create models that harnesses not only just AI’s processing power and analyses but also the subject matter expert’s deep knowledge and understanding of operating nuances. This approach has helped us to deploy models that have helped our customers avoid unplanned shutdowns in ammonia plants due to unseen process changes and lengthen run time of critical gas compressors in LNG plants and simultaneously achieve high throughput conditions. The methodology involves building fit-for purpose anomaly and performance digital twins that are built using 3rd generation AI methods, that works in tandem with a failure library (FMEA) engine and recommendation advisory rule base. The anomaly digital detects faults and allows “what-if” scenarios to be evaluate in order to create the best possible outcome. FMEA incorporates mechanical component data like vibration, process and failure modes to identify anomaly cause and recommended fixes to address causes. In addition, to enhance success, the AI models have to be supported with platform tooling that makes the task of data aggregation and model building by process experts easy to scale.
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  Dominic Gallello

  Chief Executive Officer

  Symphony Industrial AI

  

  Mr. Gallello is an established technology leader with a deep background in vertical software solutions. Throughout his career, Mr. Gallello has established a track record of building great products, driving an intense customer focus and building global brands. His products have won more than 50 awards including 2 R&D 100s, considered the “Oscars of Innovation” as well as the company level, “Best Work Culture” Timmy Award. He was named a SaaS Top 50 CEO in 2018. He has led three successful turnarounds of public & private software companies over the past 16 years, resulting in ~$1.3B in exit value, with a 300%+ average increase in value. Earlier in his career, Mr. Gallello held Executive Vice President positions leading product development at Autodesk and Macromedia. Mr. Gallello has lived and run companies in China, Japan and Hungary and speaks a number of languages. His articles have appeared in such publications as Wired and the Wall Street Journal. A hands-on philanthropist, Mr. Gallello has funded and overseen the development of orphanages that have provided a nurturing home and solid education to 500+ children over the past 15 years. An avid long-distance swimmer, Mr. Gallello had completed many challenging races including the Asia to Europe, Arctic Circle Crossing, Sicily to Calabria and the Golden Gate to Bay Bridge races in recent years. Mr. Gallello holds both BS and MBA degrees from Monmouth University.
• Serdar Uckun, Senior Technical Advisor- PARC Predictive Maintenance, PARC
  The data problem of IoT: IT / OT Integration and infrastructure

  The data problem of IoT: IT / OT Integration and infrastructure

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  Serdar Uckun

  Senior Technical Advisor- PARC Predictive Maintenance

  PARC

  

  Serdar Uckun is a Senior Technical Advisor at Xerox PARC where he is working with the Predictive Maintenance team on projects in the Industrial IoT space. Serdar has 20+ years of R&D and technology leadership experience. He is the Co-founder and past President of the Prognostics and Health Management Society. He has a PhD in Biomedical Engineering from Vanderbilt University and he has completed a Post-Doc in Computer Science and AI at Stanford University.

The ways in which process automation has evolved have highlighted the need for openness and collaboration in future automation platforms. The potential benefits of advancing automation include accelerated product development and delivery, cost reductions, and enhanced compliance. These speakers will discuss how standards, interoperable architectures and edge connectivity are meeting these requirements.

• Nate Strong, VP of Client Strategy, Very
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  Nate Strong

  VP of Client Strategy

  Very

  

  As Very's VP of Client Strategy, Nate Strong, leads our sales and account management teams, where we focus on completing successful projects for companies that are leaders in their field. Before joining Very, Nate was the Head of Revenue at BookNook, where he increased brand presence, conversion rates, new sales, usage, and renewal rate.
• David DeBari, Process Control Engineer, ExxonMobil Corporation
  The Journey to the Future of Automation

  The Journey to the Future of Automation

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  • Global growth, competition, and technology trends have elevated the requirements of automation • A standards-based, open, secure, and interoperable architecture addresses these new necessities • The change in automation technology is taking place and industry needs to engage and capture benefit
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  David DeBari

  Process Control Engineer

  ExxonMobil Corporation

  

  David DeBari is an Innovator and a Process Control Engineer for the ExxonMobil Research and Engineering Company. He has many years of automation experience in both continuous and batch processes and has built, migrated, or replaced many control systems on numerous projects. David is the Lead Engineer and one of the original members of ExxonMobil’s Open Process Automation Program Team. He has provided technical leadership for the proof of concept and pilot unit prototype projects, and leads the current Test Bed and Field Trial activities for the ExxonMobil Program.
• Jon Towslee P.E., CEM, Sr. Director of iFactory Sales, IIoT, Advantech
  Open Nature of Edge Connectivity & Compute

  Open Nature of Edge Connectivity & Compute

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  OT/IT Convergence is a megatrend within Digital Transformation and is accelerating the adoption of open architectures across all industry segments. IT influence is shunning proprietary edge appliances and networks to avoid any specific vendor lock-in. We will examine the technologies and use cases which are driving this new world of openness at the edge.
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  Jon Towslee

  Sr. Director of iFactory Sales, IIoT

  Advantech

  

  Jon Towslee is the Sr. Director of iFactory Sales for Advantech’s Industrial IoT business unit based in Cincinnati, OH. Jon has 30+ years of automation industry experience. He has spent the last 20+ years leading, growing, and managing automation and IIoT related businesses. Jon’s experience spans many areas including commercial and industrial automation, utility and industrial power generation/transmission/distribution, HVAC systems, energy management, control and information system design and applications, and digitalization and digital transformation.   Jon earned his Bachelor of Science in Electrical Engineering from The University of Akron and his MBA from John Carroll University, where he was selected to join The Beta Gamma Sigma business honor society. He is a Registered Professional Engineer in the State of Ohio and a Certified Energy Manager by the Association of Energy Engineers.

Digitalization’s most prominent value in the power sector is perhaps its ability to boost an entity’s competitiveness while keeping it in step with customer and stakeholder expectations. This session will break down how different technologies and their implementation can help achieve real business value.

• Colin Xander, Corporate Turnaround Manager, Chevron Phillips Chemical Company L.P.
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  Colin Xander

  Corporate Turnaround Manager

  Chevron Phillips Chemical Company L.P.

  

  Colin currently serves as the Corporate Turnaround Manger at Chevron Philips Chemical Company where he oversees the turnaround execution at all CP Chemical assets. Previously Colin served as the Regional Overhaul, Maintenance, and Engineering Manager for the US Region of Lucite International Inc., the global leader in the design, development, and manufacture of acrylic-based products. Before Lucite, he was the Reactor Maintenance Officer of the aircraft carrier USS CARL VINSON where he led a team of more than 400 sailors and 10,000 shipyard workers through a $2 billion, 48-month overhaul, the culmination of his 26-year naval career. He has also played key roles in the execution of several overhauls at civilian nuclear facilities as well as additional construction, deconstruction, and overhauls of several nuclear-powered ships.
• Dr. Yves Gorat Stommel, Head of Cognitive Solutions, Evonik Digital
  Tools Alone Do Not Create Value: Technology Acceptance at Evonik

  Tools Alone Do Not Create Value: Technology Acceptance at Evonik

  ×
  ×

  Yves Gorat Stommel

  Head of Cognitive Solutions

  Evonik Digital

  

  Yves Gorat Stommel is currently working as the head of the Cognitive Solutions team, with a strong focus on setting-up and implementing a comprehensive, company-wide Artificial Intelligence and data analysis strategy. In his current function, Yves’ motivation stems from bringing together people, technology and positive change. By continuously questioning, improving and re-imagining operational and business processes – amongst others by looking at the company through the new “lens” of enabling and disruptive Artificial Intelligence – value is created for both the company and its employees. This does not only require identifying, benchmarking and implementing best practices, but more importantly targeted communication, linking knowledge and an emphasis on global instead of local mindsets and approaches.
• James Martin, Global Operational Excellence Manager, Allnex USA
  Operational Excellence with Advanced Analytics

  Operational Excellence with Advanced Analytics

  ×

  Many manufacturers list sustainability as one of their main corporate objectives. These companies that optimizing their processes to reduce energy consumption and waste gives them a significant competitive advantage. However, identifying opportunities for continuous improvement in this area is difficult, as process engineers often do not have the advanced analytics applications required to investigate their process in a rapid, in-depth way. It is extremely difficult for plant engineers to eliminate waste and improve efficiency when they spend most of their analytics time sifting through time series data in spreadsheets. One analytical technique that engineers can use to improve energy efficiency is through energy modeling. In a process plant, there are hundreds of items of equipment that contribute to the total energy use. Sensor data from this equipment are stored in time series data historians. Subject matter experts (SMEs) can use this data to build predictive models of total energy consumption using each individual item’s sensor data as inputs. With this method, they can determine if each piece of equipment is operating efficiently based on the coefficients in the model. Using traditional analytics tools like spreadsheets, energy models are difficult to build and maintain, and they quickly become outdated and obsolete. Companies like Allnex, however, use Seeq Workbench’s Prediction Tool to construct energy models that they use to decrease their total energy consumption with minimal capital expense. In addition, Allnex engineers operationalize these models by building monitoring dashboards in Seeq Organizer Topic to detect, in near real time, if energy use is deviates from the model. Compared to the hundreds of hours required to build energy models with spreadsheets, the engineers at Allnex have used the Seeq to build and monitor energy models in significantly less time.
  ×

  James Martin

  Global Operational Excellence Manager

  Allnex USA

  
• Nicholas Gigliotti, Analytics Engineer, Seeq Corporation
  Operational Excellence with Advanced Analytics

  Operational Excellence with Advanced Analytics

  ×

  Many manufacturers list sustainability as one of their main corporate objectives. These companies that optimizing their processes to reduce energy consumption and waste gives them a significant competitive advantage. However, identifying opportunities for continuous improvement in this area is difficult, as process engineers often do not have the advanced analytics applications required to investigate their process in a rapid, in-depth way. It is extremely difficult for plant engineers to eliminate waste and improve efficiency when they spend most of their analytics time sifting through time series data in spreadsheets. One analytical technique that engineers can use to improve energy efficiency is through energy modeling. In a process plant, there are hundreds of items of equipment that contribute to the total energy use. Sensor data from this equipment are stored in time series data historians. Subject matter experts (SMEs) can use this data to build predictive models of total energy consumption using each individual item’s sensor data as inputs. With this method, they can determine if each piece of equipment is operating efficiently based on the coefficients in the model. Using traditional analytics tools like spreadsheets, energy models are difficult to build and maintain, and they quickly become outdated and obsolete. Companies like Allnex, however, use Seeq Workbench’s Prediction Tool to construct energy models that they use to decrease their total energy consumption with minimal capital expense. In addition, Allnex engineers operationalize these models by building monitoring dashboards in Seeq Organizer Topic to detect, in near real time, if energy use is deviates from the model. Compared to the hundreds of hours required to build energy models with spreadsheets, the engineers at Allnex have used the Seeq to build and monitor energy models in significantly less time.
  ×

  Nicholas Gigliotti

  Analytics Engineer

  Seeq Corporation

  

  Nicholas Gigliotti is a Customer Success Manager at Seeq. He supports Seeq customers on global deployments of Seeq to ensure that they are successful in meeting their Digital Transformation goals. He holds a bachelor’s degree in Chemical Engineering from Virginia Tech and worked at Eastman Chemical Company prior to joining Seeq in 2020.
• Linda Salinas, Vice President of Operations and Executive Business Architect for the Refinery of the Future Project, Texmark
  Digital Asset & IIOT- Realizing the Value

  Digital Asset & IIOT- Realizing the Value

  ×

  The industrial internet of things (IIoT) has transformed the landscape of Asset Integrity Management (AIM), enabling plant operators to extract more value from their maintenance investments than ever before. AIM platforms communicating with IIoT devices and systems provide increased visibility into maintenance planning and efficiency. Digital Twins provide visibility to insights from very large amounts of data, transforming this data mountain into actionable information. Indeed, this “new normal” can be leveraged by operators to optimize output and thrive. With the right strategies and tools, it is more efficient and cost-effective than one might first suspect. Today’s forward-thinking operators understand that leveraging AIM and IIoT technology to drive effective and meaningful improvement at all levels of operations is imperative to competing successfully in a data-driven industry. From daily maintenance activities to enterprise-level of operational metrics, data has no value unless the right strategy is applied to divulge hidden opportunities for optimization. In this paper, we examine:How facilities can take control of their data to optimize their digital transformation journey:How the Power and Chemical industries can leverage digital AIM with IIoT solutions to address today’s unique challenges while still focusing on maintenance cost and asset lifecycle;How companies can gain insights from integrated platforms, process and equipment data, and visualizations through Digital Twin to drive intelligent operations and set the stage for Artificial Intelligence and Machine Learning. Technology is changing the game for AIM in the Power and Chem industries, and more companies are adopting it. Yet, while many organizations have ideas on how this technology can benefit them, many are unsure how to begin. There are so many variables and options spanning large numbers of assets, geographical locations, and technologies. The potential value is visible, but there is not a clear one-size-fits-all method of determining the path to success.
  ×

  Linda Salinas

  Vice President of Operations and Executive Business Architect for the Refinery of the Future Project

  Texmark

  

  Linda Salinas, Vice President of Operations and Executive Business Architect for the Refinery of the Future Project, is responsible for the safe, reliable, and efficient operations at Texmark Chemicals, Inc., a petrochemical manufacturing company in Galena Park, TX. In addition she oversees production, maintenance, logistics, and process safety management (PSM), DOT hazardous materials, and environmental compliance. She is also a member of the senior management team which makes strategic and capital investment decisions. Linda is a graduate of the University of Houston with a bachelor of science in Mathematics. She is also an Executive member of the Women’s Energy Network and a Board member for the Process Technology and Fire Science and Technology colleges at Houston Community College.
• Floyd Baker, Vice President, Antea USA
  Digital Asset & IIOT- Realizing the Value

  Digital Asset & IIOT- Realizing the Value

  ×

  The industrial internet of things (IIoT) has transformed the landscape of Asset Integrity Management (AIM), enabling plant operators to extract more value from their maintenance investments than ever before. AIM platforms communicating with IIoT devices and systems provide increased visibility into maintenance planning and efficiency. Digital Twins provide visibility to insights from very large amounts of data, transforming this data mountain into actionable information. Indeed, this “new normal” can be leveraged by operators to optimize output and thrive. With the right strategies and tools, it is more efficient and cost-effective than one might first suspect. Today’s forward-thinking operators understand that leveraging AIM and IIoT technology to drive effective and meaningful improvement at all levels of operations is imperative to competing successfully in a data-driven industry. From daily maintenance activities to enterprise-level of operational metrics, data has no value unless the right strategy is applied to divulge hidden opportunities for optimization. In this paper, we examine:How facilities can take control of their data to optimize their digital transformation journey:How the Power and Chemical industries can leverage digital AIM with IIoT solutions to address today’s unique challenges while still focusing on maintenance cost and asset lifecycle;How companies can gain insights from integrated platforms, process and equipment data, and visualizations through Digital Twin to drive intelligent operations and set the stage for Artificial Intelligence and Machine Learning. Technology is changing the game for AIM in the Power and Chem industries, and more companies are adopting it. Yet, while many organizations have ideas on how this technology can benefit them, many are unsure how to begin. There are so many variables and options spanning large numbers of assets, geographical locations, and technologies. The potential value is visible, but there is not a clear one-size-fits-all method of determining the path to success.
  ×

  Floyd Baker

  Vice President

  Antea USA

  

  Floyd Baker is the Vice President for Antea USA. With over 39 years of experience, Floyd provides valuable insight and perspective on digital transformation and the industrial internet of things (IIoT). He is an asset integrity and digital strategies advisor in global communities. He is a revered global keynote speaker on topics of asset integrity management (AIM), risk based inspection (RBI), digital twin, IIoT, and digitalization. Prior to joining Antea, Floyd served at senior levels for end users of AIM platforms. He has also served about half of his career at executive levels as a strategist/technology driver at companies providing AIM/RBI/Technology services. His background and education are focused on emerging technologies in inspection, mechanical engineering, and materials science.
• John Korsedal, Product Manager Digital Worker, GE Digital
  Digital Fleet: Generate the Right Amount of Power When and Where It’s Needed

  Digital Fleet: Generate the Right Amount of Power When and Where It’s Needed

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  John Korsedal

  Product Manager Digital Worker

  GE Digital

  

  John is responsible for leading digital product management delivering customer outcomes of safety, quality, and O&M Cost in the Power Generation Digital Worker space. Prior to his present role, John led GE’s Outage, Operations, and Maintenance Engineering team responsible for developing services solutions that reduce O&M cost, improve safety, availability and quality for GE’s customers. John held several other roles over his 11 year tenure at GE, including Consulting Engineer. Through this time he built a Power Generation background in Reliability, Risk, and Conditioned Based Maintenance. John began his career in the United States Air Force where he served for 10 years as a Pilot flying A-10 Warthogs, T-37’s, and T-38’s. John earned a bachelor’s degree in Mechanical Engineering from The United States Air Force Academy in 1997 and a Master’s Degree in Mechanical Engineering from the University of South Carolina in 2011.
• Greg Tanck, Asset Management Services Group, Black & Veatch
  Real-Time Analytics for Distributed Generation Assets

  Real-Time Analytics for Distributed Generation Assets

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  Data analytics applied to large power generation facilities is a proven method for increasing efficiency and reliability; however, distributed generation assets may require a different approach. The complex modeling requirements on large generating facilities often is not appropriate for distributed generation assets. The other extreme is also prevalent where asset owners rely on equipment alarms to determine health and state of the equipment but this approach is reactive and looks at the problem after the damage or outage has occurred often requiring an expensive visit by a technician to resolve. This discussion will focus on rightsizing the data analytics approach and adjusting the monitoring effort to extract maximum value from distributed assets.
  ×

  Greg Tanck

  Asset Management Services Group

  Black & Veatch

  

  Greg Tanck has more than 20 years of experience in the power industry and currently leads the Asset Management Services group at Black & Veatch. Greg’s business line is responsible for providing remote monitoring services and software to more than 100 power generation and industrial facilities around the world. Previously, Greg held the lead role in implementing integrated neural net based combustion optimization software to improve power plants emissions management. Greg also has extensive experience helping facilities implement continuous efficiency and reliability improvement programs using data analytics.

Learning how to select the right automation technologies and software applications is crucial to any operations and maintenance project. This session will review data visibility software, automation, flexibility, and safety solutions through case studies.

• David Bonislawski, Project Engineer, Lonza AG/Ltd
  Operations Data Visibility fuels Productivity at Lonza

  Operations Data Visibility fuels Productivity at Lonza

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  Chemical processing companies do not have to wait for advanced analytics to benefit from digitalization. Simply increasing operations visibility provides immediate and significant value. This was Lonza’s experience when implementing its own digitalization initiative, PIVOT (Productivity Improvements via Operations Technology). As a global company, Lonza had to adopt a strategy to support small, diverse production sites. One example was a chemical plant with less than 100 employees, facing a growing demand for its product. Lonza implemented a global data infrastructure using OSIsoft’s PI System, and put in place tools for data visualization and analysis such as SEEQ and Microsoft Power BI. The PI System allowed raw data from disparate systems (e.g. control systems, analytical instruments) to be combined and contextualized. Power BI presented an aggregated view of the data that could be filtered by batch, production line or production period of interest. SEEQ provided engineers with a powerful analytics tool to drill into raw data signals and uncover insights. With these tools, it became possible to track key performance indicators and anticipate production issues before they occurred, helping the site adopt a proactive approach to operations. Remote support groups were able to access the same data in real-time, and provide recommendations for process changes. These improvements yielded significant improvements in cost benefit and production volume for the plant. Increased operations visibility also enables advanced digitalization projects. The combination of analytical results with process data provided a clear picture of in-process samples for each batch. This allowed the team to identify a strong use case for on-line analytical instruments and model predictive control. The strong foundation of operations visibility at Lonza will fuel its digitalization roadmap for years to come.
  ×

  David Bonislawski

  Project Engineer

  Lonza AG/Ltd

  

  David is a Project Engineer with Lonza and is a member of the Manufacturing Process Optimization (MPO) group which supports Lonza Specialty Ingredients (LSI). Prior to joining Lonza, David spent time in multiple positions with companies such as W.R. Grace and Akzo Nobel. Over his career he has worked with automation of printed circuit board imaging, automatic control of NOx emissions from mixed acid pickling and automated online analysis of hydrogen peroxide in bleaching systems. He holds a Bachelor’s degree in Chemical Engineering from Northeastern University in Boston, Massachusetts.
• Fatih Abdel Kariem, Asset Management, Marubeni Corp.
  Reducing maintenance costs, reducing risk and increasing reliability by combining engineering and digital solutions on a CCGT

  Reducing maintenance costs, reducing risk and increasing reliability by combining engineering and digital solutions on a CCGT

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  Fatih Abdel Kariem

  Asset Management

  Marubeni Corp.

  

  Fatih is a Senior Asset Manager and leads the implementation of new technologies in power stations and Marubeni Asset Management. He has expertise in power stations, transmission and distribution (SCADA), and has been Involved in the evolution and implementation of automation technologies in the power industry for the last 20 years. His engineering and asset management expertise covers the development of Machine Learning algorithms for the early prediction of failure in rotating plant, and the implementation of Advanced Condition Monitoring platforms, new technologies including machine learning.
• Colin Xander, Corporate Turnaround Manager, Chevron Phillips Chemical Company L.P.
  Can Digital Fundamentally Improve STO Manageability?

  Can Digital Fundamentally Improve STO Manageability?

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  Digital STOs (Shutdowns, Turnarounds, Outages) offer the opportunity for some key transformational outcomes of your event. This case study presentation - which covers actual experiences from the field illustrating how technology improves turnaround manageability, performance and efficiency – will include the following subjects: 1. Automating mundane, routine activities and focusing on the Most Effective Things (METs): Utilizing technology for repetitive, low-value tasks frees workers for more important tasks, allowing them to do what they're best at - being human, intuitive and experienced. 2. Staying ahead of your event by predicting and managing inevitable change: The role of technology is not to replace managers, expertise and enthusiasm, but to support and raise the level. Automatic collection, organization and analysis of data enables you to get quicker to the things that can actually influence the outcome, which is taking action on the data. 3. Preparing better and earlier: Use of scenario modeling, milestone tracking and readiness dashboards to validate your progress and manage your preparedness against key criteria. Such data-driven, objective readiness assessments increase manageability during execution. 4. Unlocking the full value of existing siloed systems through unified, actionable views of all critical data: Integration with existing data systems for objective readiness assessments during planning, and a single system of record and unified management view during execution. 5. Learning, adapting & improving: Standardized SOPs, checklists, workflows, dashboards, BI reports and KPIs support industry best practice and lay the foundation for benchmarking, continuous improvement and enhancing plans for future events.
  ×

  Colin Xander

  Corporate Turnaround Manager

  Chevron Phillips Chemical Company L.P.

  

  Colin currently serves as the Corporate Turnaround Manger at Chevron Philips Chemical Company where he oversees the turnaround execution at all CP Chemical assets. Previously Colin served as the Regional Overhaul, Maintenance, and Engineering Manager for the US Region of Lucite International Inc., the global leader in the design, development, and manufacture of acrylic-based products. Before Lucite, he was the Reactor Maintenance Officer of the aircraft carrier USS CARL VINSON where he led a team of more than 400 sailors and 10,000 shipyard workers through a $2 billion, 48-month overhaul, the culmination of his 26-year naval career. He has also played key roles in the execution of several overhauls at civilian nuclear facilities as well as additional construction, deconstruction, and overhauls of several nuclear-powered ships.
• Paul Muir, President, North America, Mobideo
  ×

  Paul Muir

  President, North America

  Mobideo

  

  Paul defines himself as an entrepreneurial innovator (read “never afraid to take a risk”) and strong operational leader (read “understands how the individual elements of an organization fit together and work to create the larger outcome”). His successes over 30 years in the IT industry are based on his exemplary soft skills – he’s a great communicator and motivator with exceptional organization skills and understanding of internal and external customer needs. As CRO at Mobideo, he’s focused on raising awareness about the paradigm shift evolving in the digitalization of industrial workforces and driving business growth.

Technology innovation and software development are continuing at a bewildering pace. Emerging technologies hold much promise, but separating the hope from the hype can be challenging. In this session, attendees will hear from leading technology developers and their end-users about how they identified and implemented new technologies or how developed novel applications for “tried and true” digitalization technologies.

• Dr. Berk Birand, CEO, Fero Labs
  Improving Production Throughput and Profit Margins Using Explainable ML

  Improving Production Throughput and Profit Margins Using Explainable ML

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  Berk Birand

  CEO

  Fero Labs

  

  Berk holds a Ph.D. in electrical engineering and computer science from Columbia University. His academic research focused on optimizing wireless and optical networks with efficient cross-layer algorithms. He developed scheduling algorithms for LTE-A and fiber-optic networks. He holds a patent in IoT systems for resilient fiber-optic networks.
• Misbah Syed, Data Scientist, Evonik Corporation
  Forecasting the concentration of chemical components in a production plant through AutoML

  Forecasting the concentration of chemical components in a production plant through AutoML

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  Misbah Syed

  Data Scientist

  Evonik Corporation

  

  Misbah has worked on applications of Advanced Process Controls and Machine Learning based predictive models in the chemical manufacturing industry. With background in Chemical Engineering, he augments theoretical process engineering with modern data driven approaches to optimize production processes.
• Michael Menzel, Machine Learning (ML) Specialist in the Customer Engineering division, Google
  Forecasting the concentration of chemical components in a production plant through AutoML

  Forecasting the concentration of chemical components in a production plant through AutoML

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  ×

  Michael Menzel

  Machine Learning (ML) Specialist in the Customer Engineering division

  Google

  

  In his role as Machine Learning (ML) Specialist in the Customer Engineering division at Google, Michael supports cloud customers in innovative projects with the goal to build novel software solutions within months or even weeks. In his projects, Michael focuses on challenges in the space of big data and machine learning. Before becoming a Googler, Michael worked in similar roles at Amazon Web Services and in a Predictive Maintenance team at SAP. After his studies in computer science, Michael spent several years in academia to focus on research in cloud compute services, distributed databases & systems at the Karlsruhe Institute of Technology (KIT) and obtained a PhD degree in engineering from the Technical University (TU) Berlin.
• Martin Gonzalez, Discipline Leader, Intelligent Operations, BP Oil Co
  Machine Learning and AutoML

  Machine Learning and AutoML

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  Martin Gonzalez

  Discipline Leader, Intelligent Operations

  BP Oil Co

  

  As the Connected Worker Team Leader within bp’s Intelligent Operations team, Marty Gonzalez leads Digital Twin strategic solution development in support of bp’s Production and Operations organization. In his 25-year career with Amoco and bp, Marty has held positions in R&D, refinery operations, process design, capital projects, and refinery commercial optimization. He has been developing data analytics, machine learning, and AI-based applications for bp’s downstream operations since 2016. Marty holds a Bachelor of Science degree in Chemical Engineering from the University of Illinois, and a PhD in Chemical Engineering from the University of Wisconsin.
• Leslie Rittenberg, Refinery & Process Manufacturing Product Manager, Beyond Limits
  Machine Learning and AutoML

  Machine Learning and AutoML

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  Leslie Rittenberg

  Refinery & Process Manufacturing Product Manager

  Beyond Limits

  

  Leslie Rittenberg is the Refinery & Process Manufacturing Product Manager for Beyond Limits, an industrial-grade artificial intelligence technology company built for demanding sectors including energy and utilities. Leslie has over 30-years of experience in the Power and Oil & Gas industries. Prior to joining Beyond Limits, Leslie held leadership positions with a major O&G company for multiple refining assets as well as their Corporate Downstream Technology Center, where she led the development of their downstream manufacturing digital strategy. Leslie recently joined the Beyond Limits team that brings in a unique brand of Cognitive AI to solve complex business and operational problems in manufacturing settings such as refineries. Beyond Limits’ use cases go beyond conventional AI by incorporating and encoding human business reasoning in combination with live plant data to impact operational frontline decision making. Leslie holds an MBA and a degree in Chemical Engineering.