Operationalizing AI Models in Industrial Settings

Overview

Containers and Microservice architectures have revolutionized IT infrastructure both in the cloud and on premises. The idea of infrastructure as code has meant application deployment is repeatable, easily scaled, and allows for zero downtime. In this webinar we will focus on building docker and Microservice and operationalize AI applications.

Highlights:

• Building a pipeline to generate Microservice Containers for seamless deployments.
• Streamlining the data exchange using RestAPI communication.
• Reducing efforts in manual translation, integration and functionality testing.

About the Presenter 

Speaker 1:

Dr. Mayukha Pal is currently working with ABB's Ability Innovation Center at Hitech City, Hyderabad as Global R&D Leader – Cloud & Advanced Analytics for the Digital System division developing data science strategy, roadmap and its program implementation plan. He has more than 21 years of industrial R&D work experience spanning various roles as global program manager and engineering functional leader with ABB, GE and Optiwave Photonics Ltd. He had obtained his Doctorate in Philosophy from C R Rao Advanced Institute of Mathematics, Statistics and Computer Science (CRRao AIMSCS), University of Hyderabad Campus, Hyderabad and his Master’s degree in Electronics with specialization in Optical Fiber Communication from University of Hyderabad. He has guided more than 15 M.Tech & B.Tech students  for their industrial projects from premier research institutes of India like IIT, NIT, ISI, IISER, HCU. Currently co-guiding 7 PhD students’ thesis from IIT Hyderabad, IIT Kanpur, IIT ISM Dhanbad, BITS-Pilani Hyderabad. He has published more than 60 peer reviewed research papers in international journals and conferences and holds 10 patents, 2 trade secrets. 

He is a senior IEEE member and part of many international technical committees, board of directors, review panels, international conferences, university board of studies with strong industry-academia and start up R&D collaboration for leapfrog technology scouting, innovation. He has delivered several keynotes, guest lectures and invited talks in various forums and spearheaded securing R&D funding for new technology development from govt agencies. His current research interest includes data science, physics aware analytics for electrical distribution system’s autonomous asset management and Switchgear Analytics along with cognitive neuroscience; biomedical signal processing; financial analytics using techniques like data driven analysis, AI & ML, Deep learning, nonlinear dynamics, fluctuation Analysis, time series analysis, multifractal and correlation study, wavelet analysis, mathematical modeling of complex systems.

Speaker 2:

Jayanth Balaji Avanashilingam works as a Senior Application Engineer at MathWorks in Artificial Intelligence. 

He primarily focuses on areas of Data Analytics for the application involving with Time-Series data. 

Jayanth has around 8 years of research and industrial experience, where he was working developing AI/ML/DL solutions for various application areas, such as time-series data modeling, optimization, computer vision and Natural Language Processing. Prior to joining MathWorks Jayanth was working as Senior AI Engineer at Impact Analytics, Bangalore.