This document provides information about a two-day online conference on machine learning and artificial intelligence. It will be held on March 7-8, 2022 from 10:00 am to 5:00 pm India time. The conference will feature presentations from six expert coaches on topics including introductions to AI/ML concepts and techniques, applications in different industries, and organizational challenges of implementing AI initiatives. Each day will include morning and afternoon sessions with topics like neural networks, deep learning, natural language processing, and case studies.

1. Online eLearning Education, Anywhere, Anytime...
Mon - Tue
07th / 08th March 2022 10:00 am to 05:00 pm
India Time
I N T E R N AT I O N A L C O N F E R E N C E S
B U S I N E S S P R E S E N T S
Email ID: ronitkapur@ibcinfo.org
Web: www.ibcinfo.com
TEL.: +91 22 4030 2400
Fax.: +91 22 4030 2422
Introduc on :
The methodology and techniques which enable machines to mimic human behavior and nature
are known as ar ficial intelligence. Machine learning is a subset of AI which allows a machine to
automa callylearnfrompastdatawithoutexplicitprogramming.
Mr. Himadri Banerji, Mr. Prateep Kumar Guha, Mr. Prabir Kumar Aditya,
Mr. Soomit Banerjee, Mr. Inteshab Nehal & Ms. Shreshtha Sarkar
Meet Your Expert Coaches:
Webinar On :
Introduction and Understanding Of
Machine Learning &
Artificial Intelligence
With Latest Technologies

2. I N T E R N AT I O N A L C O N F E R E N C E S
B U S I N E S S P R E S E N T S
Email ID: ronitkapur@ibcinfo.org
Web: www.ibcinfo.com
TEL.: +91 22 4030 2400
Fax.: +91 22 4030 2422
Day - 1 Day - 2
FORENOON
 Introduc on to Digital Transforma on with AI and ML.
 The Three Pillars of AI/ML Solu ons.
 Paradigm shi in Data Management Methodology.
 Big Data - Facts and Figures.
 Structured and Unstructured data.
 Subject Ma er Exper se.
 Machine Learning Framework.
 Supervised and Unsupervised Learning.
 Techniques with simple examples.
 Popular technology stacks for AI/ML based digital
transforma on.
BENEFITS:
Understanding and apprecia on of AI/ML concepts and
methodology.Familiaritywithterms.
AFTERNOON
Business Scenario and usage of different AI/ ML Algorithm :
 Regression.
 Classifica on.
 Clustering.
 Neural Nets and Deep Learning.
 Natural Language Processing.
 Dimensionality Reduc on.
 Ensemble Methods.
 Transfer Learning.
 Reinforcement Learning.
Organiza onal challenges implemen ng AI/ML enabled
ini a ves:
 Organiza on Culture.
 Top Management commitment.
 Cross Func onal Teams.
 Cri cal Success Factors.
 Training needs and Organiza on Development.
BENEFITS:
LearninghowAIandMLwork.Understandingtheimportanceof
accurate data and process components. Realiza on of
organiza onalchallengesandmi ga onstrategy.
FORENOON
Natural Language Processing (NLP) :
 NLP Techniques and examples.
Machine Learning vs. Deep Learning :
 Deep Learning Techniques.
RecurrentNeuralNetworkswithapplica onsincludingspeech
recogni on, language modeling, transla on and image
cap oning.
Case Studies
Steel, Power and Automobile Plant :
 Fuel op miza on in Combined Cycle Power Plant.
 Produc on quality compliance of hot metal (pig iron) in
Blast Furnace.
 Cost op miza on of alloy mixing in Steel Manufacturing.
 Image processing for structural stability in non-
destruc ve tes ng.
 Predic ve machine maintenance using IOT sensors and
FFT.
BENEFITS:
Understandinghowcomputersgettodecodenaturallanguage
and images. Industry based use cases explain how AI/ML have
benefitedorganiza ons.
AFTERNOON
Case Studies.
Sales, Marke ng and Supply Chain :
 Customer Life me Value.
 Predic ng user churn.
 Es ma ng product-price elas city.
 Analysis of product sales drivers.
 Forecast product demand and inventory.
 Market basket analysis& RFM analysis.
 Social Media Marke ng.
Customer Service :
 Customer complaints analysis and ac ons ( emails /
chatbots).
AI based so ware coupling to technology :
 Fraud detec on in Power Gas and Water U li es.
 Op mizing Opera ons while maintaining Opera onal
Flexibility.
 Use of AI Based So ware for op mizing storage of
hydrogen (AI coupling to Hydrogen Technology).
A ledger of Innova ve solu ons for the green hydrogen
and its mul ple commercial applica ons in a sustainable
energy with AI.
Responses to Ques ons.
Concluding remarks.
BENEFITS:
Func on based use cases demonstra ng how AI/ML techniques
have brought about digital transforma on in business
processes.
09:45 am
10:00 am
01:00 pm - 02:00 pm
02:00 pm - 05:00 pm
05:00 pm
Login & Registration
Course Commences
Lunch
Noon Session
Course Ends
Programme Schedule for two days

3. MEET YOUR EXPERT COACH :
Mr. Himadri Banerji
Mr.HimadriBanerjigraduatedfromthepres giousIndianIns tuteofTechnologyKharagpuranddidmyMastersinBusinessManagementspecializing
inSystemswithComputerApplica 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,RelianceIndustries,RelianceEnergy,RollsRoycePower,GIPCL,TorrentPoweretc.indifferentcapaci esincludingasCEOandDirector.From2014-
2018havebeenanInterna onalConsultantwithErnstandYounginvolvedinbuildingcapabili esamongstmanagersinBangladesh.
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
beentrainingandmentoringexecu vesinstartupsintheCleanEnergy,Implementa onofProjectsinRFID,IOTAIMLDLDataAnalysisSpaceacrossthe
spectrumofindustries.
Mr. Himadri Banerji tend to specialize in strategically scoping all the AI linked digital transforma on investments and linking them back to the visions
and goals of the organiza ons in achieving set objec ves, the resources available in the company and the country and what can be called upon from
globalcompanies.
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
foropera onsmaintenanceandconstruc on.However,itisin1984whenhereallycameacrossthescienceofSystemDynamicsinhisPhDstudiesatIIT
Kharagpur. Had his first brush with digital simula on models using computers and programs for using data analysis genera ng insights linking social
problemswithpolicypredic ngbehaviorofsocietalandbusinesssystems.ThatwasAIinitsinfancy.
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,theassociatedMathcamebywhiledevelopingNeuralModelsforDemandForecas ngforaDistribu onCompanyin2008.
MEET YOUR EXPERT COACH :
Mr. Prateep Kumar Guha
PrateephasmorethanfortyyearsofyearsofexperienceinInforma onTechnology.Hehasbeeninvolvedincrea ngaglobalITorganiza onwhichwas
specialized in Business Analy cs using Machine Learning and Ar ficial Intelligence. The organiza on provided Business Analy cs solu ons across
IndustrysegmentscoveringPetroleum,Chemicals,ClinicalTrials, Retail andGovernment.
Educa on:
 MSinManagementInforma onSystemsfromNorthernIllinoisUniversity,Dekalb,Illinois.
 PostGraduateDiplomainBusinessManagementfromtheIndianIns tuteofManagement,Kolkata,India.
 MetallurgicalEngineeringfromIndianIns tuteofTechnology,Kharagpur,India.
Experience:
 Chairman,SPRINRIVERTechnologyPrivateLimited,India.Aconsul ngcompanyintheareaofMachineLearning,Ar ficialIntelligenceandIoT.
 ManagingDirector,NihilentAnaly csLtd., India.,aBusinessAnaly csandAIsolu onprovider
 ManagingDirector,ICRATechnoAnay csAnaly csLtd., India.,aBusinessAnaly csandAIsolu onproviderlaterrenamedNihilentAnaly csLtd.
 FounderandManagingDirector,ComputerExchangePvt.Ltd.India.,aBusinessAnaly csandAIsolu onprovider,laterrenamedICRATechno
Analy csLtd.
MEET YOUR EXPERT COACH :
Mr. Prabir Kumar Aditya
Prabir has thirty years of work experience in various industries, such as, Informa on Technology, Healthcare, e-Governance, Manufacturing and
AerospaceR&D.
Educa on :
 PhD, Dept. of Aerospace Engineering, Indian Ins tute of Technology, Kharagpur, India.
Research area: Micro mechanical Behavior of Fiber Reinforced Polymeric Composites.
 MS and BS in Physics from University of Calcu a, India.
Experience:
 Co-founder and CEO, SPRINRIVER Technology Private Limited, India. A consul ng company in the area of Machine Learning, Ar ficial
Intelligence and IoT.
 VP - Global Delivery, Interra Informa on Technologies Private Limited, India. IT consul ng company having head quarter in San Jose, CA.
 Director - IT, United Health Group, Gurgaon, India and California, USA. A leading health care payers company.
 So ware Architect, Pacific are Health Systems, Cypress, CA. A leading healthcare payer company in USA. Later acquired by United Health
Group.
 Technology Director, Civic Resource Group, Santa Monica, CA. A leading consul ng company working with Municipality Government, Smart
City and e-Governance in USA.
Email ID: ronitkapur@ibcinfo.org
Web: www.ibcinfo.com
TEL.: +91 22 4030 2400
Fax.: +91 22 4030 2422

4. Email ID: ronitkapur@ibcinfo.org
Web: www.ibcinfo.com
TEL.: +91 22 4030 2400
Fax.: +91 22 4030 2422
MEET YOUR EXPERT COACH :
Mr. Soomit Banerjee
SUMMARY :
 So ware consultant and educator by profession.
 Focus areas are Data Analy cs, Natural Language Processing, Computer Languages, Ticke ng Kiosks, Payment
 Kiosks, Remote Device Management (wired/wireless), Web Applica ons.
 Author of Barnamala, phone c Bengali word processing so ware.
 Wikipedia contributor.
 Post Graduate in Compu ng.
 Programming since 1992.
 Fond of musical instruments.
Technical knowledge & skills:
 Hardware: Intel, Motorola, VIA, ARM, DEC-ALPHA, Cyber.
 Opera ng System: Windows, Linux, Android, iOS.
 Language: C, C++, Python, Java, JavaScript.
 Communica on: Serial Port, Parallel Port, Ethernet, GSM/GPRS, Bluetooth.
 Device: Cash Accep ng Device, Coin Accep ng Device, Contact / Contactless Smart Card Reader, Thermal Printer, GPS.
 Receiver, GPRS Modem, ATM Card Reader, Touch Panel.
 Domain: Data Science, Internet of Things (IoT), Embedded Systems, Ticke ng and Payment Kiosks, Web Portals.
Other skills:
 Human Languages: Spanish, Japanese.
 Publica on summary: “Nano composite Gel Derived Films by Fractal Growth of Silver” - Published in Euro Physics Le ers Volume 46, Page 346,
May 1 1999.
Educa onal summary:
 Post Graduate Diploma in Computer Applica on.
 B.S. in Physics.
Major associa ons (present and past):
 American Megathrends Inc (AMI).
 LSI Logic.
 Mega Designs Pvt Ltd.
 PastelShade So ware Technology Pvt Ltd.
 Sprinriver Technology Pvt Ltd.
MEET YOUR EXPERT COACH :
Mr. Inteshab Nehal
 Inteshab is currently working as a Specialist in Data Science & Visualiza on at Marsh and McLennan Company.
 He has shown keen interest in Industrial Automa on and R&D.
 He has worked with clients across various industries like Health, Wealth, Manufacturing, Thread, Steel, IT, Real state Inves ng, Oil &
Petrochemical.
 He has deep knowledge in technologies like Machine Learning, Deep learning, Natural Language Processing, Applica on Programming
Interface, AWS, Power BI, Angular, Tableau, Qlik.
MEET YOUR EXPERT COACH :
Ms. Shreshtha Sarkar
 Shreshtha is currently working as a data scien st at Mercer.
 Prior to this, she has worked in a 100vx funded loca on intelligence startup.
 Her specializa on lies in machine learning methods for automa on and insight genera on.
 She is also a coach at great learning online data analy cs program.