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.

After more than 29 years in the chemical industry I have left a great company, having experienced a tremendous career, to move on to new things. I will be seeking opportunities in one or more of these areas:
1. Help companies struggling with getting an analytics program going. I have had great success in Dow and can advise on what internal steps companies should take to take advantage of advanced analytics without jeopardizing the intellectual property contained within their data.
2. Help small analytics firms to understand how they can become more relevant in chemical manufacture.
3. Front for deserving analytics companies as they seek greater attention in a crowded and confusing marketplace.
I am currently engaging discussions as I am aware of them to determine next steps. I am in no hurry.

My background: Prior to my departure in April 2020: I have spent the last 29 years in the Chemical Industry, the first 8 years in R&D in Product Development then Technical Service. My Career took an unexpected turn by entering into Dow's Manufacturing and Engineering Function in a variety of roles designed to improve the performance of manufacturing assets within the businesses and functions served. This work led to creation of a Fundamental Problem Solving capability within the Corporation, and more recently into the data space, a place where "potential" greatly outweighs "realization" in terms of novel approaches to data usage. In 2015, our collaboration with Northwest Analytics has garnered two awards, a Golden Mousetrap Award for software design and use, and a Manufacturing Leadership Award, category: Big Data and Manufacturing Analytics for the implementation of our Enterprise Manufacturing Intelligence system - FOCUS(tm) EMI.


Outside of the Technical realm I have led many different departments within Dow having had a hand in creating several of them from scratch, bringing new value with new approaches in applications of Statistics, Analytical Support, FPS and Data Capability design.

As a people leader and mentor my goals are pretty simple: To inspire. To lead. To coach. And to empower others to be successful in this space. I very much enjoy helping collaborators in Dow bring M&E's own brand of leadership training to new leaders.

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 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.

Cheryl Ingstad serves as the Director of the Artificial Intelligence & Technology Office (AITO) for the Department of Energy (DOE). AITO was created on September 5, 2019, to serve as the central body responsible for the development, coordination and application of Artificial Intelligence, building upon the Department of Energy’s capabilities as a world-leading enterprise in scientific discovery and technological innovation.

Ingstad comes to DOE from 3M Company, where she led critical commercialization efforts in AI/Machine Learning research and development. Before 3M, Ingstad was an early leader in the Defense Intelligence Agency’s Information Operations Branch.

Ingstad holds a MA in International Economics and International Relations from Johns Hopkins University’s School of Advanced International Studies, and a BS from Georgetown University. She is also a graduate of the US Army Signal Officer Basic Course and the US Army Intelligence Analysis Course.

Is Principle Design Engineer at Cyient Limited, Hyderabad in Turbo Machinery Group. He received a Bachelor of Technology Degree in Mechanical Engineering from IIT Delhi in the year 2001. He has around 18 years of engineering design & management experience in Green Field & Brown Field projects while working with OEMs like Hitachi Mitsubishi Hydro, Japan; Voith Hydro, Austria; Alstom Power, India & BHEL, India with particular focus on Hydro Generators. Apart from core mechanical engineering experiences, he is an Optimization, Artificial Intelligence & Machine Learning enthusiast.

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.

Isabelle is a Data Infrastructure Engineer at Lonza. She is a member of the Operations Technology group, which supports the Specialty Chemicals division. Prior to this, Isabelle was working as a Systems Engineer at OSIsoft, helping customers gain insights from their operations data. She holds a Master’s degree in Chemical Engineering from McGill University.

With eight years in the industrial test and measurement industry and two years working with energy customers to deploy ML and advanced analytics solutions, Gabe has seen firsthand the challenges that major industrial companies face when they can’t map the right data to their digital applications. At Cognite, he aims to help customers understand the challenges with their data infrastructure and identify how it can best be applied to solve problems across the Power & Utilities value chain.

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.

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.

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.

I’ve been involved in some fantastic projects over the years. They tend to be bleeding edge technologies, which is a blast! Wired networks, wireless networks, servers, and everything in between are my modus operandi. My goals in life include solving problems with new technologies, and using technology to make a difference in the lives of those around me.

Specialties: My specialties include engineering solutions, and translating between those who speak technology and those who need it. I love to build strong/passionate teams that can reach the moon and beyond. Come to us with your problems, and we will solve them.

Recent Projects: Industrial sensors (IIoT), non-ip based wireless communications, machine learning, AI, robotics, hybrid manufacturing, and changing the world bits at a time.

Putting the techy stuff aside for a bit, my other passion is developing leadership and making connections between amazing people. Taking advantage of my experiences from a broad range of fields, I have been able to leverage my time around some very different thinkers. I like to share those thinking styles to others over discussions and sessions while we develop ideas and solutions. I cannot think of anything that is more fun than that at work.