India’s largest Data Science Event – Data Science Congress 2018 Concludes Successfully

Data Science Congress 2018

2000+ delegates and 100 speakers graced DSC 2018

Data Science Congress 2018, an initiative by Aegis School of Data Science and mUni Campus concluded with a bigger bang this year with 2000+ delegates and 100 speakers across industries. DSC 2018 was inaugurated by Shri Vijay Goel, Minister of State for Parliamentary Affairs and Statistics and Programme Implementation, Govt. of India. It also served as a platform for the first public appearance of Mr. Praveen Chakravarthy Chairman – Data Analytics Department, Indian National Congress.

DSC 2018 discussed Artificial Intelligence, Big Data and Machine Learning across politics, logistics, telecom, media & entertainment, banking, insurance, cancer detection, health and education. Speakers from IIM, Atos, IBM, Reliance Industries, Convergent Communications India, FedEx, Fractal Analytics, Microsoft, Locus, Airtel, Vodafone, Reliance Jio, Acalvio Technologies, CreditVidya, SBI, J P Morgan Chase, Yes Bank, Axis Bank, NITI Aayog, HDFC Life Insurance, Bajaj Allianz Life Insurance, Lymbc, Manipal Enterprise, VFS Global, Star India, Viacom 18 Media and many more ensured the triumph of DSC 2018.

Mr. Bhupesh Daheria, CEO, Aegis School of Data Science and Cyber Security said, “I am glad to see interest and participation from Central Government and State Government for Data Science Congress. This ensures that the government is encouraging and supporting the implementation of data science for improving governance, education and employment generation. We would like to see such participation next year as well. We have taken this initiative to generate awareness of technology amongst all stakeholders across industries and we are delighted with its success.  The next edition of DSC will witness even more participation and path breaking discussions on the ever evolving industry of data science.”

About Data Science Congress:

In 2017, Aegis launched Data Science Congress to create a vendor-neutral 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 and establishing a dialogue among the practitioners, users and tech vendors. DSC is a three-day conference and one day workshop with key features like product/solution demonstration, exhibition, thought leadership, panel discussion, delegation and research paper presentation and attended by thousands of delegates from different industries and business functional areas.

For more information, please visit www.datasciencecongress.com/

About Aegis School of Business, Data Science, Cyber Security and Telecom:

Aegis School of Business, Data Science, Cyber Security and Telecom was founded in the year 2002 with support from Bharti Airtel to develop cross functional technology leaders. In 2015 Aegis and IBM collaborated to launch, India’s first Post Graduate Program (PGP) in Data Science, Business Analytics and Big Data and later in 2017 PGP in Cyber Security.  These programs are jointly certified and delivered by Aegis School of Business in association with IBM. IBM has set up high end Business Analytics and Cloud Computing Lab at Campus. Also Aegis and NVIDIA partnered for Deep Learning and applied AI courses. Aegis is no. 1 School of Data Science. Aegis takes up various industry projects, research and consulting assignments in the field of data science under its initiative “Data Science Delivered” and “Data Science for social good”, and helping organizations for devolving skills on data science, ML, DL, Big Data, Analytics etc.

For more information, please visit: www.aegis.edu.in

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Kalyan Banga222 Posts

I am Kalyan Banga, a Post Graduate in Business Analytics from Indian Institute of Management (IIM) Calcutta, a premier management institute, ranked best B-School in Asia in FT Masters management global rankings. I have spent 14 years in field of Research & Analytics.

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