Deep Learning – Module 1

  • September 29, 2021
  • 10:00 AM - 1:30 PM

Deep Learning - Module 1

September 29, 2021

10:00 AM – 1:30 PM

Demand Forecasting using Deep Learning Techniques

This workshop is in association with:

Demand Forecasting is a technique of predicting the future based on the analysis of data and events from the past. It will help to reduce the uncertainty of the future. Since future is uncertain no one will be able to exactly predict the future. But a good forecasting system will reduce the amount of uncertainty in the future and thereby reducing the risk.

Given the growing availability of data and Computing power in recent years deep learning has become a fundamental part of Forecasting methods. As we go along Supply chains have become longer, Markets have become Global and consequently data generation process has become complex which unfortunately previous forecasting methods are unable to capture. This in turn generates inaccurate forecasts.

Deep Learning with what we call Recurrent Neural Networks are able to map complex data generating process but also remember how much old information to be dropped when new information enters the system. Earlier forecasting techniques have limitations in handling variety of data sources like Customer reviews , Click stream data  , CRM Systems data in the form of voice , Social media interaction etc.

There are three major forecasting categories. They are Economic Forecasts, Technology Forecasts & Demand forecasts. There are slight variations in the techniques used but about 60-70% are common. For this master class we will focus on demand forecasting.

Demand forecasting typically starts with a model generated demand plan using past data adds additional intelligence to generate future forecasts. Additional intelligence may be in the form of Events, competitor moves, Company and Industry news analysis.

Some of the benefits of demand forecasting are:

– Increase in Sales from Better Product Availability

– Accurate Stock allocation

– Increase in inventory turns as a result of reduced safety stock

– Optimum capacity planning & improved visibility in Supply Chain.

Workshop Schedule

The workshop will be held on Wednesday, 29 September, 2021 from 10:00 AM – 1:30 PM.

  • Introduction to Forecasting
  • Introduction to basics of Machine Learning
  • Fundamentals of  Deep Learning , Recurrent Neural Networks and their applicability in Forecasting
  • Introduction to demand forecasting – applications in businesses
  • Use case demo of Demand Forecasting  using KNIME DEEP LEARNING Real life data set
  • Q&A

Who should attend?

This workshop will be highly beneficial for Demand Planning Team members, Marketing Managers, Financial Analysts, Business Analysts, and Data Scientists in Manufacturing, E Commerce FMCG, Service sector, who would want to apply these techniques in their businesses operations. Also to those who have ZERO programming language experience. Only Microsoft EXCEL knowledge is required.

About the Speaker

Dr. Chandrashekar Subramanyam
Senior Professor , Jagdish Sheth school of Management

Regarded as one of the top Analytics Professor in the country today, he was the Chair Professor (July 1998 – Feb 2013) & officiating Director (April 2009 to Jan 2010) at FORE School of Management, New Delhi. He joined FORE School in 1988 as Senior Professor. There he also headed the software development function that saw building of prototype of products in areas of Business Intelligence, Risk Management, and Customer Relations Management.

He holds a Ph.D. from the University of Georgia, USA, Masters & Bachelors from IIT Kanpur and has a vast experience of more than 34 years in R&D, Academic & Industry in the area of Quantitative Techniques & IT. He teaches courses in the area of IT, Quantitative Techniques, Text Mining and Sentiment Analysis, and Advanced Market Research. He worked as Professor and Area Chair of Quantitative and Information systems group at IIM Lucknow for about ten years. He was the Member Secretary to IIM Lucknow Board for about three years. He was also a visiting Professor at Manchester Business School for about a year under Euro India exchange program.

Dr Chandrashekar has published in several International and National Journals and presented papers and chaired sessions at National and International forums. He has patents to his credit having filed a patent jointly with IFIM. He is working on his next patents in the area of Text Mining and Financial Analytics..

AI Pathshala is free for participants. Click the link below to register for the class. We will not share your information with any third party.

Snehanshu Mitra,
HEAD – CoE, DS & ARTIFICIAL INTELLIGENCE

Snehanshu leads the AI initiatives at NASSCOM. He heads the CoE for Data Science & AI – in partnership with Govt of Karnataka and the Telangana AI Mission in partnership with GoTS. He is responsible for creating, nurturing, and scaling up a vibrant AI ecosystem that involves driving AI adoption, accelerating AI startups, leveraging AI for societal good, work with enterprises to co-innovate and promote applied research and AI skilling.

In his two decade long career, Snehanshu has advised enterprises on driving business transformation and delivering impact through data science & AI. His core experience lies in developing strategy, creating & nurturing world-class capabilities, driving innovation, delivering value proposition to global clients, research and managing P&L.

Snehanshu has worked with several organizations across the globe – multinationals, GCCs and startups across sectors such as Technology, Telecom, Hospitality, Retail and Banking. Prior to joining NASSCOM, he was part of Vodafone Shared Services, Zyme, Dell Global Analytics and Accenture.

Madhav Bissa
PROGRAM DIRECTOR

Madhav brings more than 20 years of experience in Strategy Consulting, Research & Analysis and Executive Search.  He has advised Fortune 500 and FTSE 500 and leading Indian organizations on the topics of Corporate Strategy, and M&A. He has worked at global organizations like Arthur D. Little, Heidrick & Struggles and Accenture.  He has been a founder of two start-ups wherein he provided business support services to organizations in the areas of strategy, fund raising, recruitment and documentation.

Madhav is also a visiting faculty at various academic institutions and from time-to-time delivers lectures and workshops on Strategy and Business Analytics.

Currently Madhav works at NASSCOM’s Centre of Excellence for Data Science and Artificial Intelligence as Program Director.  In this role, he helps organizations adopt Data Science and Artificial Intelligence solutions and assists DS&AI startups to connect with investors.

Supriya Samuel
Branding & Marketing Manager – CoE, DATA SCIENCE & AI NASSCOM

Supriya Samuel has more than 14 years of work experience across many profiles in Sales, Branding, Campaign Management, Digital & Product Marketing, Channel Enablement, Event Management and Account Based Marketing.She holds a Client Centricity and an Agile Explorer Badge from IBM and is also a Certified Digital and Product Marketer from Udemy.

During her stint with IBM for more than a decade, she has been a part of the ISA (India-South Asia) Inside Sales and worldwide teams to drive Marketing efforts for the Global Alliances, Industry, Product and the Account based Marketing Teams. She played a crucial role in setting up the MDF process for Pan Europe to leverage the SAP Funds to run demand generation activities and created a new digital experience like Oracle Virtual University for the IBM Sales Teams to help them navigate a wide range of enablement materials. She also drove the end-to-end planning of IBM’s Cloud presence at the world’s premier Banking Event- Sibos in 2018 and was instrumental in conceptualizing the VIP Framework for IBM’s Top Integrated accounts in 2019.

As the Marketing & Branding Manager at NASSCOM – CoE DS&AI, Supriya leads and drives the Integrated communication plan for promotion and dissemination of various NASSCOM’s CoE DS&AI Programs which includes Events, Webinars, Technology workshops and Marketing content to the NASSCOM Teams and the DS&AI ecosystem. At present ,she is spearheading activities such as driving & engaging conversations across various social media handles of CoE DS&AI. She has worked very closely with the Government of Karnataka for the CoE’s participation in Asia’s largest Summit (Bangalore Technology Summit) creating a strong brand presence in the DS&AI ecosystem.

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              Krishna Prabhu,
              TECHNICAL DIRECTOR

              Currently Technical Director at NASSCOM CoE DS & AI, play pivotal role in National initiatives like Open Data Platform, AI HPC Labs, AI – Technical mentoring, help accelerate AI adoption in Industry with initiatives like Innovate to build, Data and AI Policy frameworks

              Over 23 years experience in Leading and delivering Analytics engagements and Solutions across Industries. Played key roles
              Strategizing Analytics Solutions and Leading Advanced Analytics Centre of Excellence. Delivered Advanced Analytics engagements
              in Cognitive, Data Sciences, IoT, Predictive Customer Intelligence (PCI), Predictive Maintenance and Quality (PMQ) across
              Domain areas

              A Senior Data Scientist, AI specialist and practitioner

              Have lead Concept to roll-out of Advanced Analytics solutions for Fortune 500 companies across USA, UK, SE.Asia, Africa

              An alumni of IIM Bangalore specializing in Business Analytics & Intelligence
              Background in Bachelor of Engineering from Bangalore Univ and holds a Diploma in Management & Economics

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                Sudeep Kumar Das,
                PROGRAM MANAGER

                Sudeep with over 17 years of experience in Customer Management, Account Strategy, and Partner Management. Having spent around a decade in technology companies like CISCO & Oracle in business development and customer success roles. Sudeep always had a keen interest in organizational development as a subject and hence took up an Executive PG course on Organisation Development and Change in the famous Tata Institute of Social Sciences.

                Currently, the go-to person for anything on the AI Startup Ecosystem and driving State level Skilling initiatives for the CoE. Driving key initiatives like the Advance Acceleration Program and Faculty Development Program for the CoE

                He is a Go-getter and hustler in chief. Sudeep is an avid swimmer and runner; and believes in the learnings from sports in our daily lives.

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                        Raj Shekhar
                        Lead – Responsible AI KTECH COE Data Science & AI NASSCOM

                        Raj is driving NASSCOM’s efforts at defining a roadmap for an extensive roll-out and adoption of responsible AI in India. Before joining NASSCOM, Raj served as Consultant (Data, AI) at International Innovation Corps (IIC) of The University of Chicago, supporting operations of the Open Data Working Group—an initiative by IDFC Institute and IIC to advance India’s open data aspirations, and IIC’s engagement with the Ministry of Electronics and Information Technology, Government of India—aimed at building capacity for data and AI innovation through policy and program implementation. Raj also is the Founder & Executive Director at AI Policy Exchange, an Affiliate at The Future Society, and sits on the Founding Editorial Board of Springer Nature’s AI and Ethics Journal.

                        Tarun Kumar
                        Consultant – Evangelist, Data Strategist, Knowledge Asset, NASSCOM

                        Tarun is currently leading the Data Strategy Initiatives for CoE – Data Science & AI at NASSCOM. During his 20+ years of work history, he has led multiple teams with a focus on the application of machine learning and cloud-native across various sectors such as Telecom, Digital and GIS & IT.

                        An avid learner, Tarun is passionate about creating an impact on society, environment, corporates and developer communities with the adoption of emerging technologies. He is a B Tech graduate from IIT Mumbai and holds various other certifications as well.

                        Tarun is currently engaged in key COE initiatives like Telangana AI Mission, Responsible AI (RAI), MLOps and AI Pathshala.