• Role of Business Intelligence in Decision Making

  Business Intelligence helps extract critical information from vast amount of (unstructured) data and transform them into actionable information. This leads to informed strategic decisions, improved operational efficiency and higher business productivity. This also helps in easier access of information that leads to quicker decisions generating competitive advantage. The data sources are, but not limited to, interactions with customers in the form of voice calls, chat interactions, emails etc.; and the online customer experience. Analyzing this leads to improving conversion rates and hence increases return on investment.

• Use of AI in Finance & Business

  Artificial Intelligence (AI) and Machine Learning are being rapidly adopted for a range of applications in the financial services industry. Financial institutions and vendors are using AI and Machine Learning methods to assess credit quality, to price and market insurance contracts, and to automate client interaction. Institutions are optimizing scarce capital with AI and Machine Learning techniques, as well as back-testing models and analyzing the market impact of trading large positions. Hedge funds, broker-dealers, and other firms are using AI and Machine Learning to find signals for higher (and uncorrelated) returns and optimize trading execution. Both public and private sector institutions may use these technologies for regulatory compliance, surveillance, data quality assessment, and fraud detection

• NLP for Strategic Decision Making

  With the huge growth of textual data, Natural Language Processing is one of the key technologies for decision making and better understanding of business needs. Most common examples are tailor made chat bots, social media analytics (Twitter, Facebook), automatic summarization, classification and clustering of text data as per specific business requirement. The session on NLP for business decision making will focus on this

• Data Science for Finance

  There has been an explosion in the velocity, variety and volume of financial data. Social media activity, mobile interactions, server logs, real-time market feeds, customer service records, transaction details, information from existing databases - there’s no end to the flood. To make sense of these giant data sets, companies are increasingly turning to data scientists for answers. The activities include:

  • Capturing and Analyzing new sources of data, building predictive models and simulations of market events
  • Using technologies such as Hadoop, NoSQL and Storm to tap into non-traditional data sets (e.g., geolocation, sentiment data) and integrate them with more traditional numbers (e.g., trade data)
  • Capturing and Analyzing new sources of data, building predictive models and simulations of market events

• Case Studies

Keynote speech

• Dr. Sam Pitroda

Panel - 1 discussion: Role of Business Intelligence in Decision Making

• Moderator : Dr. Prasenjit Majumder – Associate Professor @ Dhirubhai Ambani University
• Dr. Disha Shah, Assistant Professor of Finance @ Aditya Institute of Management Studies and Research
• Mr. Jatin Singh, Founder & CEO @ Skymet Weather Services Pvt Ltd.
• Dr. Shamim S. Mondal, Professor of Economics @ NMIMS Mumbai
• Mr. Shankar Jadhav, MD - BSE Investments and Chief Strategy Officer @ BSE
• Mr. Sukiran Maity, Co-founder & CEO @ Litmass Analytics

Case Study by Skymet Weather Services Pvt Ltd.

Panel - 2 discussion: Data Science for Finance

• Moderator : Dr. Diganta Mukherjee, Professor @ Indian Statistical Institute (Sampling and Official Statistics Unit)
• Mr. Pallab Bhattacharya, Associate Director @ Edelweiss Financial Services
• Mr. Rajib Ranjan Borah, CEO @ iRage
• Ms. Ujjyaini Mitra, Head Analytics - AVP Strategy @ Viacom18 Media Pvt Ltd.

Case Study by Cere Labs

Case study by IDFC Asset Management Co. Pvt. Ltd.

Panel - 3 discussion: Uses of AI in Finance & Business

• Moderator : Dr. Diganta Mukherjee, Professor @ Indian Statistical Institute (Sampling and Official Statistics Unit)
• Mr. Sankarson Banerjee, Chief Technology Officer - Projects @ NSE
• Mr. Prithvijit Roy, CEO @ BRIDGEi2i
• Mr. Debashish Bose, Director - PMS/SMAs & AIF @ IDFC Asset Management Co. Pvt. Ltd.
• Mr. Hrishabh Sanghvi, Founder @ HL Investrade

Case Study by Raoson Business & Softech Solutions

Panel - 4 discussion: NLP for Strategic Decision Making

• Moderator : Dr. Prasenjit Majumder, Associate Professor @ Dhirubhai Ambani University (DAIICT)
• Dr. Angshuman Ghosh – Lead Data Scientist @ Target
• Mr. Mukund Mudras, Co-founder @ Heckyl Technologies
• Dr. Puranjoy Bhattarcharya – Sr. Principal Data Scientist @ Infosys
• Ms. Sobha Lalitha Devi – Program Director @ AU-KBC
• Col. Haridas M – CEO, Founder @ Dataval Analytics Inc.

Case Study by Heckyl Technologies Ltd.

Keynote speech

• Mr. Ajit Balakrishnan, Founder, Chairman, CEO, Rediff.com

Panel - 1 discussion: Analytics in Financial Markets

• Mr. Indranath Mukherjee, Head- Strategic Analytics, AXA India
• Mr. Kersi Tavadia, CIO, BSE Ltd.
• Dr. Kishore Rathi, Data Science Specialist, Faculty of Finance, Xavier Institute Of Management and Research
• Dr. Malcolm Athaide, Co-founder and CEO, Agrim Housing Finance
• Mr. Sandeep Kapoor, CEO, Karvy Analytics
• Mr. Sankarson Banerjee, CIO, RBL (Moderator)

Panel - 2 discussion: Emerging trends in AI

• Abhijit Gangopadhayay, Dean, Aegis School of Business and Telecommunication
• Dr. Diganta Mukherjee, ISI (Moderator)
• Mr. Rajeev Panikath, CIO, SBM Bank
• Dr. Sourish Dasgupta, Founder Director, Raxter.io
• Ms. Ujjyaini Mitra, Head - AI, Zee 5
• Mr. Vivek Zakarde, Head-Technology, Reliance General Insurance

Workshop On Natural Language Processing For Business

• Dr Prasenjit Majumder From Dhirubhai Ambani Institute Of Information And Communication technology