“Making Artificial Intelligence (AI) Work In Managing Change ” is a Capability Improvement webinar which has been stitched together by a two member team comprising of a Senior CEO level Oil Gas and Energy Sector business executive who in his professional career spanning over decades has led multiple projects in digital transformation in decision support systems in top organizations in the country and abroad in the contexts of competion and uncertainty and an a senior IT expert who has hands on experience in designing the configurations of hardware and the associated software in Digital Transformations in various areas including Data Analysis, Machine Learning, Deep Learning, Neural Networks for implementing state of the art Artificial Intelligence Systems in the Silicon Valley.

1. INTERNATIONAL CONFERENCES
BUSINESS PRESENTS
Online eLearning Education,
Anywhere, Anytime...
DATE: 20th January 2021 (Wednesday), Session from 11:00 am to 2:00 pm
MOB.: +91 9820354333
Email ID: ronitkapur@ibcinfo.org / inhouse@ibcinfo.com | Web: www.ibcinfo.com
Objectives:
Demys fyingAr ficialIntelligece(AI) andundertakingthenextlevelofjourneyinDigitalTransforma onforany
organiza on with the power of AI is no longer a choice, it is a necessity especially a er the COVID related
disrup ontoday.
“ ” is a Capability Improvement webinar which
Making Ar ficial Intelligence (AI) Work In Managing Change
has been s tched together by a two member team comprising of a Senior CEO level Oil Gas and Energy Sector
business execu ve who in his professional career spanning over decades has led mul ple projects in digital
transforma on in decision support systems in top organiza ons in the country and abroad in the contexts of
compe on and uncertainty and an a senior IT expert who has hands on experience in designing the
configura ons of hardware and the associated so ware in Digital Transforma ons in various areas including
Data Analysis, Machine Learning, Deep Learning, Neural Networks for implemen ng state of the art Ar ficial
IntelligenceSystemsintheSiliconValley.
This webinar will help business execu ves from all industries with a special focus on oil and gas industries to
know how AI can be used to bring in new paradigms in decision making transform their organiza ons into an AI-
driven engine. The webinar will show you how to implement AI through your organisa on responsibly and
effec vely.
This webinar will explore how these changes are cascading through strategy in predic ve asset maintenance in
upstream, midstream and downstream with AI models which can predict equipment failure and reduce the risk
of costly accidents, minimize opera ng expenses by reducing down me and improve compliance to safety and
environmentalstandards,talentmanagement,andperformancemanagement.
MAKING ARTIFICIAL INTELLIGENCE (AI)
WORK IN MANAGING CHANGE
MAKING ARTIFICIAL INTELLIGENCE (AI)
WORK IN MANAGING CHANGE

2. What you will learn:
 Basic understanding of the technology in Al and developing.
 Familiarity with Al terms used in implementa on in an organiza on.
 Developing a 'bird's-eye' view of how Al can be used and deployed.
 Apprecia on the usefulness of Al from specific case studies.
 Efforts required at different levels to transform your business into an Al-driven organisa on.
 Enable faster and more efficient business decisions based on outputs of AI.
 Understand when and when not to rely on AI.
Meet Your Expert Coach : Mr. Himadri Banerji & Mr. Angsuman Chakravarty
MEET YOUR EXPERT COACH :
Mr. Himadri Banerji
Mr. Himadri Banerji graduated from the pres gious Indian Ins tute of Technology Kharagpur and did my
MastersinBusinessManagementspecializinginSystemswithComputerApplica onsinBusinessfromXLRI.
In his professional career in Oil and Gas, Power, and Steel spanning over 40 years he has worked in various
corporate groups in India and abroad like Tata, Reliance Industries, Reliance Energy, Rolls Royce Power, GIPCL,
Torrent Power etc. in different capaci es including as CEO and Director. From 2014-2018 have been an
Interna onal Consultant with Ernst and Young involved in building capabili es amongst managers in
Bangladesh.
From 2009 he is also heading his own bou que management consultancy firm. As a management consul ng
firm, we tend to lead with business issues first. Clients tend to come to us because they have a specific problem
they're trying to solve or a specific corporate goal they're trying to achieve. I have been training and mentoring
execu vesinstartupsintheCleanEnergy,Implementa onofProjectsinRFID,IOTAIMLDLDataAnalysisSpace
acrossthespectrumofindustries.
Mr.HimadriBanerjitendtospecializeinstrategicallyscopingalltheAIlinkeddigitaltransforma oninvestments
and linking them back to the visions and goals of the organiza ons in achieving set objec ves, the resources
availableinthecompanyandthecountryandwhatcanbecalleduponfromglobalcompanies.
His Digital journey ini ally started from the day he joined a career in Energy and Process Industry where online
data measurement is used extensively for opera ons maintenance and construc on. However, it is in 1984
when he really came across the science of System Dynamics in his PhD studies at IIT Kharagpur. Had his first
brush with digital simula on models using computers and programs for using data analysis genera ng insights
linking social problems with policy predic ng behavior of societal and business systems. That was AI in its
infancy.
He was involved as a senior management professional for the first me in Digital transforma on in the Energy
Industries from 2000 onwards as we at Torrent Power were looking a performance improvements cost
reduc on etc. His first digital transforma on project was in retrofi ng Digital Control Systems, SCADA, Online
Process Op miza on using Sensor Accuracy Es ma on using Sta s cal Methods, Online Performance
Management Systems, Automa c Meter Reading and The Analysis in Energy Marke ng and Distribu on
Systems using Pa ern Recogni on Techniques, From 2003 onwards also became more involved in Enterprise
wise Digital Transforma on Ini a ves like SAP/ERP/CIS/DMS etc. His first experience in Neural Networks &
Training, the associated Math came by while developing Neural Models for Demand Forecas ng for a
Distribu onCompanyin2008.
MOB.: +91 9820354333
Email ID: ronitkapur@ibcinfo.org / inhouse@ibcinfo.com | Web: www.ibcinfo.com
Cont.

3. MOB.: +91 9820354333
Email ID: ronitkapur@ibcinfo.org / inhouse@ibcinfo.com | Web: www.ibcinfo.com
MEET YOUR EXPERT COACH :
Mr. Angsuman Chakravarty
Mr. Angsuman Chakravarty has over 24 years of industry experience in architec ng, designing and
developing So ware products for Fortune 500 to startup companies in the USA as well as India. Relaso
Profilegivenbelowisco-foundedbyAngsumanChakraborty.
AngsumanisalsotheCo-FounderofTaraganaInc.,thecompanybehindthedevelopmentofRelasoProduct
Suite. Relaso Enterprise So ware Private Limited was formed with a laser-sharp focus for further
developmentandmaintenanceofRelasoProductSuite.
Previously, he was the Chief So ware Architect in Oakland based Double Twist Inc. and contributed to the
first worldwide annota on of the human genome. His stock op onswere doubled and he got 4 promo ons
withinoneyearinrecogni onofhiscontribu ons.
Previous to that he was the Product Lead for Expense Report and Travel Plan products and Technical Lead
for TimeSheet product at Extensity Inc. (now acquired by Infor). Extensity Expense Report is recognized to
bethefirstpubliclyavailableenterpriseso wareproductinJava.Developedasawebapplica on,Extensity
Expense Report is the flagship product of the company, which along with Travel Plan and TimeSheet
products,eventuallyledtoitshighlysuccessfulIPOin2000.Hisstockop onsweredoubledwithinoneyear
inrecogni onofhiscontribu ons.
At Sun Microsystems, he was the project lead for the first enterprise so ware in Java – Daily Shipment
Repor ngTool.
Angsuman started his career at Infosys where he successfully led the project to migrate 1.5 million lines of
mission-cri cal, real- me C++ code which formed the founda on of J.P. Morgan Trading Pla orm to
Windows3.1andWindowsNT.
AngsumanworkedasConsultantSo wareArchitectofMilliporeInc.,aFortune1000company.
Angsuman was consultant Architect and CTO for a Mumbai based FinTech startup Angsuman graduated in
B.Tech (Honors) from Indian Ins tute of Technology, Kharagpur. He is Sun Cer fied Architect for Java
TechnologiesandcompletedSeniorManagementCoursefromAmericanManagementAssocia on,USA
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With E&Y 2014 onwards became more involved in Robo c Process Automa on, Virtual Commissioning,
Integra on of IOT with Edge Compu ng into Main Data Base of Distributed Control Systems while working with
state-of-the-artPowerAdvancedClassTechnologiesinGenera onFacili esinBangladesh.
Mr. Himadri Banerji was recently in October 2020, invited by Power Gen Conferences & Clarion Energy as a
panelist and speaker for an Interna onal Webinar on Digital Transforma on in Energy Industry Organized in
conjunc on with Ernst and Young where he spoke on the “Intersec on of Cyber security and Ar ficial
Intelligence.”

4. INTERNATIONAL CONFERENCES
BUSINESS PRESENTS
MOB.: +91 9820354333
Email ID: ronitkapur@ibcinfo.org / inhouse@ibcinfo.com | Web: www.ibcinfo.com
AGENDA FOR 3 HOURS
Introduc on to Ar ficial Intelligence (AI):
 Ar ficial Intelligence Brief History and State of Technology Today.
 Brief Discussion on Na onal Strategy on AI.
 Types of Data and Significance of Data Analysis in AI .
 Access to Data , Na onal Depositories of Data and their role.
 Access to Computa onal Hardware.
Ge ng into Details of AI:
 Machine Learning Deep Learning and AI.
 Brief Introduc on to Neural Networks and Training.
 Applica ons in Industry of Machine Learning and Deep Learning.
 Relevance of AI to Corporate Managers and Industry Professionals.
 Iden fying the typs of problems AI can solve iden fying highest impact use cases and ROI
opportuni es for AI Projects , se ng realis c expecta ons about enterprise implementa ons of AI.
Formula ng Design Selec on of AI Projects :
 Formula ng the problem.
 Crea ng a plan.
 Problem spli ng.
 Hypothesis tes ng.
 Paralleliza on of effort.
Deep Learning (DL):
 Major Deep Learning Models.
 When they are used.
 Deep Learning Solu on Workflow.
 Deployment considera ons.
 Scaling.
Connected Resources in Technology Hardware So wares etc required :
 So ware Resources.
 Cloud versus in-house infrastructure: pros and cons.
 Hardware Requirements.
 Es ma ng human resources.
Pilot Projects & Capability Building in AI, ML, DL:
 Se ng Up a Pilot Project From Case Studies.
 Assessing the Internal Capability Gap in AI.
 Iden fying what you need to acquire.
 Processes that need to be internally evolved.
 Depending on the business, there may be exis ng projects or teams that can help do this organically
for certain business units.
 Bringing In Experts from outside.
 Integrate who know the project and those who know AI.
Ques on & Answers.
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