2nd International Industrial AI Applications Summit • I2A2

Where in industrial processing and machinery is AI already being used?

The goal of the event is to showcase real industrial AI deployments with proven business benefits, and to explain how machine – human collaboration has helped to optimize industrial processes and innovate new products.

Location: Virtual and on-demand video channel

Live dates: March 24–25, 2022

Time: 8am – 5pm CET

Why is this important?

AI in industrial (manufacturing, energy) applications is at the beginning of its life cycle. According to a very recent analyst report*, in the near term only 14% of companies will have adopted AI solutions, but in 2 to 6 years an additional 83% will join the club. So now is the time to prepare for this wave and if you aim to be an innovation leader to engage.

Who should attend?
The event will provide insights into real AI client projects. It is suitable for both technology and operations management as well as R&D and innovation decision makers. In particular, strategy and business development officers will be able to profit by getting insights into what is real and what is hype, what can be done now and what will need more research work in the coming years.

What will you learn?
How AI is used in industrial processes and industrial machinery products. The challenges, opportunities and realized business benefits.

Whom will you meet?
You can have 1:1 online meetings with participants as well as the speakers.

Can I watch it also later?
Yes, you will first need to register in order to gain access to our video channel where the talks and panels can be re- watched.

Day 1, March 24 – AI Technologies and Projects

TimePresentations, PanelsSpeakersIndustriesApplication Area
9-10amMachine Learning for battery managementMarco Gallieri
Senior Researcher
BatteriesProcess modeling
10-11amAnomaly detection in industrial process predictive maintenance applicationsOlga Kaiser
Senior Researcher
ChemicalsAnomaly detection
11-12pmGeneral-Purpose AI (AGI) applications in industrial Bas Steunebrink
Director of AGI
ManufacturingTransportation, shop floor automation
2-3pm3rd generation data-driven AI-powered Digital Twin applicationsFlorian Trifterer
Senior Researcher
AllDigital twinning
3-4pmnnSPECT: Industrial Inspection AI as a ServiceAsha Anoosheh
Research Scientist

Jonathan Masci
Director of Deep Learning

Day 2, March 25 – AI Technology Infrastructures & Platforms

TimePresentations, PanelsSpeakersIndustriesApplication Area
8-9amPetro-SIM and supervised MLSimon Rogers
Digital Transformation Consultant
Oil and GasOil refining
9-10amMicrosoft Cloud for ManufacturingYannik Kopp
Cloud Solution Architect
ManufacturingCloud infrastructure
10-11amAI in process optimizationJürgen Käser
Director Process Applications
Pulp and paperProcess optimization
11-12pmIncreasing Profitability, Quality, and Solving Supply Chain Challenges with Next Generation AI and Deep LearningPrabhdeep Singh
VP of Software Products
SambaNova Systems
AI hardwareSupply chain management
1-2pmHow to Find Industrial AI Business CasesMartin Szugat
Data Thinker
2-3pmOptimizing Manufacturing Data and Analytics with Cloud ComputingKaytlin M. Henderson
Analytics and Digital Thread Platform Lead, Digital Operations Center
DOW Chemical
ManufacturingChemical production
3-4pmWhy AI/Data Science Projects Fail: How to Avoid Project PitfallsJoyce Weiner
Principal AI Engineer
Intel Corporation
AllProject management
4-5pmPanel discussion: Industrial AI project opportunities and challengesKaytlin Henderson, Jürgen Käser, Martin Szugat, Joyce Weiner, Florian Guldner, Florian TriftererAllAll

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