Industrial Edge AI: Scaling Embedded AI Infrastructure in Realtime Industrial Use Cases | Kisaco Research
Session Topics: 
Industrial Edge
On-Device ML
Optimized Infrastructure
Speaker(s): 

Author:

Erim Sezer

Director, Data Enablement & Digitization
Bayer

Erim Sezer

Director, Data Enablement & Digitization
Bayer

Author:

Heath Blandford

Senior Solutions Engineer
Edge Impulse, a Qualcomm company

Heath is a Senior Solutions Engineer at Edge Impulse, working to help customers bring enterprise grade AI to the Edge to solve real world problems. In his spare time, Heath enjoys training for ultra-endurance races, backpacking, and watching Formula 1.

Heath Blandford

Senior Solutions Engineer
Edge Impulse, a Qualcomm company

Heath is a Senior Solutions Engineer at Edge Impulse, working to help customers bring enterprise grade AI to the Edge to solve real world problems. In his spare time, Heath enjoys training for ultra-endurance races, backpacking, and watching Formula 1.

Author:

Abhijeet Gulati

Head of AI, Senior Director of AI & ML Engineering
Mitchell International

Abhijeet Gulati is the Head of AI & Senior Director of Engineering at Mitchell’s Auto Physical Damage (APD) business unit. Abhijeet is an accomplished technologist with over two decades of experience in the semiconductor, wireless, software & technology industry, focusing on AI, Machine Learning, NLP, Generative AI and SaaS solutions. He is a driven Artificial Intelligence, Advanced Analytics and business intelligence leader.

As the Head of AI at Mitchell International, Abhijeet has spent the past 5 years improving InsureTech inefficiencies, minimize decision biases, developed proprietary, differentiated enterprise scale AI products and an intelligent open platform that democratizes adoption of AI in enterprise business workflows. Abhijeet has extensive experience directing large-scale initiatives involving R&D, business & product strategy, operations, and advanced video, image and data analytics. Abhijeet has authored several patents on the application of AI in InsureTech industry. Abhijeet sits on the board of several AI standards, Ethical & Responsible AI committees.

Abhijeet Gulati

Head of AI, Senior Director of AI & ML Engineering
Mitchell International

Abhijeet Gulati is the Head of AI & Senior Director of Engineering at Mitchell’s Auto Physical Damage (APD) business unit. Abhijeet is an accomplished technologist with over two decades of experience in the semiconductor, wireless, software & technology industry, focusing on AI, Machine Learning, NLP, Generative AI and SaaS solutions. He is a driven Artificial Intelligence, Advanced Analytics and business intelligence leader.

As the Head of AI at Mitchell International, Abhijeet has spent the past 5 years improving InsureTech inefficiencies, minimize decision biases, developed proprietary, differentiated enterprise scale AI products and an intelligent open platform that democratizes adoption of AI in enterprise business workflows. Abhijeet has extensive experience directing large-scale initiatives involving R&D, business & product strategy, operations, and advanced video, image and data analytics. Abhijeet has authored several patents on the application of AI in InsureTech industry. Abhijeet sits on the board of several AI standards, Ethical & Responsible AI committees.

Author:

Anil Ravindranath

Founder & CTO
rapt AI

Anil Ravindranath is Founder & CTO of rapt.ai where he leads the team building next gen Agentic-AI automation platform for GPUs. He is an industry veteran with over 20 years of experience in building enterprise products, and previously worked as Technical Director at Data Domain/EMC. Anil worked in system architecture, storage, data mgmt., scheduler algorithms, virtualization and apply heuristics for workload mgmt. and system efficiency. Anil has been granted with over 15 patents.

Anil Ravindranath

Founder & CTO
rapt AI

Anil Ravindranath is Founder & CTO of rapt.ai where he leads the team building next gen Agentic-AI automation platform for GPUs. He is an industry veteran with over 20 years of experience in building enterprise products, and previously worked as Technical Director at Data Domain/EMC. Anil worked in system architecture, storage, data mgmt., scheduler algorithms, virtualization and apply heuristics for workload mgmt. and system efficiency. Anil has been granted with over 15 patents.

Time: 
2:35 PM - 3:15 PM
Agenda Track No.: 
Track 3
Session Type: 
Track
Session Stage: