Data Science Congress (DSC) is a three-day conference and one day workshop being curated by Aegis School of Data Science, with about 4000+ delegates from different industries and business functional areas in Mumbai. Our goal is to provide a platform for the data scientists, big data professionals, business analysts, cognitive computing experts, CIOs, CXOs to network and exchange ideas on best practices, innovations, data products, solutions in different industries.
Theme of DSC 2017 The confluence of Analytics, Big Data, Machine Learning, Artificial Intelligence, IoT, Cognitive Computing and Cyber Security.
5 June 2017 - Workshop
6 June to 8 June 2017 - Conference
6 June to 8 June 2017 - Startup Investment Pitch
6 June to 8 June 2017 - Product Demonstration
6 June to 8 June 2017 - Exhibition
6 June to 8 June 2017 - Research work presentation
• Dr. K. R. Murali Mohan, Head Big Data Initiative, Department of Science & Technology, Govt. Of India. • Dr. Usama Fayyad, CEO, Open Insights; Former Chief Data Officer and Group Managing Director at Barclays PLC; 1st Chief Data Officer Titled. • Sushila Augustine, Director, Data Management and Dissemination Division, (Chief Data Officer) Reserve Bank of India. • Dr. Gabor Melli, Senior Director of Machine Learning and Artificial Intelligence, Sony Playstation (Sony Interactive Entertainment Inc). • Dr. Abhijit Gangopadhyay, Dean, Aegis School of Business, Data Science and Telecommunication & Founding Dean, IIM Indore. • Dr. Avik Sarkar, Head - Data Analytics Cell at NITI Aayog, Govt. Of India. • Dr. Paul Pallath, Chief Data Scientist & Director - Advanced Analytics at SAP. • Nikola Sucevic, Head of Data Science at Reliance JIO. • Veneeth Purushotaman, CIO at Fortis Healthcare. • Vipul Anand, Group CIO, Jindal Steel & Power Ltd. • Niranjan K Ramakrishnan, CIO, Sir Ganga Ram Hospital; Secretary, Member of the Board of Directors of the HIMSS APAC India Chapter. • Kumar KV, VP/Group Head | Information Technology, Narayana Hrudayalaya.
We have more speakers listed on our website.
Why Data Science Congress?
After talking to a lot of industry leaders from both users and tech vendors side, we realized that there is whole a lot of clutter around the Data Science, Big Data, Analytics, ML, AI, Cognitive, Deep learning and Cyber Security. Leaders are talking a lot about it but real deployment is not going much beyond POCs. And the major reasons observed are a lack of awareness, knowledge, shortage of skills and off course tech vendors and users both are not able to bring real use cases resulting in tangible measurable outcomes.
At Aegis, we realized that there is a need to create a platform for dialogue, knowledge, best practices, innovations and uses cases sharing among the practitioners, startups doing breakthrough innovation, algorithm development researchers (including leading academics), data scientist, technology vendors, product, services and solution providers. We also invite several leaders from various industries to present at the conference to foster a cross-breeding of ideas.
DSC Key Features
• Key Talk: The key talk will be delivered by the founders of technologies, Chief Data Officers, Data Science Evangelist and Key Data Scientist in the industry. We have announced the first list of speaker you may like to visit our website for more details. • Panel discussion: Panels are designed around issues, challenges, uses cases in various industries like Banking, Telecom, Health, Manufacturing, Media & Entertainment. Panellist are CXOs of respective industries, Tech Vendors, Data scientist, Analytics head and experts. • Startup Pitch Aspiring entrepreneurs in Big Data and Analytics domain will pitch their product/solution to a panel of investors and persuade them to invest in their product/solution. Each nominated startups will get 10 minutes of pitch slot. • Expo DSC will exhibit the most disruptive big data analytics technology companies and face to face meeting with top prospects. • Product Demonstration Companies in Analytics, Big Data, Machine Learning, Artificial Intelligence, IoT, Cyber Security and Cognitive Computing irrespective of Large, mid-size or startup will live demonstrate their products. • Research work presentation DSC invites researchers, scholars and authors to submit their original and unpublished work that demonstrate current research using big data analytics, computational intelligence, Machine learning, NLP, Data Mining and other intelligent computing techniques and their applications in science, technology, business and commerce to publish in the peer-reviewed international research journal. • Workshop includes tools and tutorials on Machine learning using R language, Building recommendation system using live data, BigData with Apache Spark, Information Retrieval using Elastic Search, Natural Language Processing for Text Analytics, Hadoop and wider range of topic on 5 June 2017. • The Data Night DSC Data night is business networking platform only for the key discussion maker and CXOs of different industries.
Who will be Attending DSC?
Government stakeholders/ influencers, Decision-makers, Business Owners, CEO, SVP/VP, C-Level, Director, Investors, VCs, Manager, Business Executives, Analysts, Project managers, Analytics managers, Data Scientist, Statistician, Marketing, human resources, Developers, Architects, Data Science explorers, Professional Services, Data Analyst, BI Developer/Architect, QA, Performance Engineers, Data Warehouse Professional, Sales, Pre Sales, Technical Marketing, PM, Teaching Staff, Delivery Manager.
Industries and Business Functional Areas
Telecom, Retail, Banking, Oil and Gas, Manufacturing, E-commerce, health care, IT&SW, Insurance, Consulting, Education, sports, media, Government, etc.
Business Functional Areas
HR, Sales, Marketing, Operations, IT, Legal, Customer service, etc.
Key talk and the panel discussion (auditorium).
Workshop (5th June).
Exhibition (Hall 1).
Product demonstration (Hall 2).
Research paper presentation (Hall 3).
The data night (excluding CXO networking on 6th June).
Key talk and the panel discussion (Auditorium, VIP Lounge).