Blockchain related applications are becoming more prevalent in the financial services and in FinTech. According to a latest HBR article the Blockchain will do to the Financial Systems what the Internet did to Media. Furthermore, per the Gartner Aug’18  report on “Hype Cycle for Emerging Technologies”, blockchain and AI will contribute towards more than 80% of the innovation in emerging technologies by 2021.

What will be covered?

• What is Blockchain and why it is needed?
• Types of Blockchain
• What problems and pain points in financial services are being or can be addressed by the blockchain? What impact will it have on data security?
• In the case studies you have mentioned, we would suggest taking 1 or 2 and explaining them in detail
• Challenges and opportunities in implementation
• What does a person in data science need to know, to learn and use Blockchain

Speaker

Ratnakar Pandey

Ratnakar Pandey has more than 17 years of experience in analytics and data science fields. At Kabbage, he is leading the machine and deep learning models development activity across the customer lifecycle, from acquisition to customer engagement to fraud prevention to risk-based underwriting policy development.

Prior to joining Kabbage, he has been a part of the data science leadership team in Citigroup, Target, Texas Instruments, and a few startups in India. He has got an MBA from ISB Hyderabad, MS from the University of Arkansas, and Btech from HBTI Kanpur.