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. Analysing this leads to improving conversion rates and hence increases return on investment.

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

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

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 analysing 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 analysing new sources of data, building predictive models and simulations of market events

Debashish looks after the Alternatives Business at IDFC AMC, which includes the PMS and AIF products. He has 18 years of experience in multiple roles in the investment industry with relationships across geographies and client categories. Earlier, Debashish was Head of Institutional Sales at Quant Capital, Associate Director at UBS Securities in New York and Vice President, Institutional Fund Sales for Kotak Mahindra Inc in New York. Debashish has an MBA in Finance, Marketing & Strategy from IIM, Calcutta and holds a mechanical engineering degree from National Institute of Technology, Karnataka.

Devesh is an innovator and has been doing research on Artificial Intelligence for the past three years and the company he founded has created AI platform called "Cerescope" based on Deep Learning, Machine Learning and Cognitived Computing. Cerescope is used to build solutions for healthcare, retail, manufacturing and real estate sectors. Previously he co-founded a health informatics company called 21st Century Health. Devesh holds Masters in Engineering from VJTI, University of Mumbai.

Dr. Diganta is an eminent Economist and Mathematician. He is also technical advisor to MCX, RBI, SEBI, National Sample Survey Office, National Accounts Division (Central Statistical Office). His specialties include Welfare & Development Economics in general and multidimensional poverty in particular. He is active in the area of Finance, particularly mathematical models for pricing contracts and analysis and modeling of network data.

Dr. Disha Shah has a total experience of over 12 years with a rich corporate experience of over 8 years with Industry stalwarts like IL&FS & HSBC among others & a teaching experience of nearly 4 years. She has taught at various B Schools in areas of her proficiency such as Financial Markets, Products, Services & Institutions, Financial Planning and Wealth Management, Financial Products’ Marketing, Bancassurance, Derivatives, Risk Management and Technical Analysis. Dr Disha is PhD (Management) PAHER, MFM (Finance) from MET, Mumbai University, DFM (Finance) from NMIMS, Mumbai University.

Hrishabh Sanghvi is a quantitative finance expert with nine years of experience in electronic trading and investment management. Prior to his own start up financial services venture, Mr Sanghvi was Head, Algorithmic Trading at Edelweiss Securities, where is he built the electronic trading business from the ground up encompassing algorithmic execution strategies, co-location infrastructure and broker partnerships. Prior experience also include a stint at United Stock Exchange of India, Credence Capital and Citibank. He is a post graduate from Indian Institute of Management, Lucknow and an engineering graduate in information technology from University of Mumbai.

Jatin founded India's private sector initiative in weather forecasting and information services in 2003. The company provides weather solutions for sectors as varied as energy (distribution and renewable), shipping, agriculture (advisories and remote sensing based crop yield, acreage and health estimation), and risk (agriculture and energy). Jatin is an alumnus of Kirori Mal College, University of Delhi, where his commentary on the political situation in Southeast Asia were published and widely acclaimed, and has a Master’s Degree in International Relations and International Communication from Boston University. He has worked with Associated Press, Aajtak and Headlines Today as a producer.

K. R. C. Murty has over 24 years of experience in Information Technology spanning across various domains and especially in BFSI Segment. He has worked with some large BFSI organisations viz., Times Bank, HDFC Bank, DSP Merrill Lynch and currently with Deutsche Bank AG in India. His expertise revolves around End User Technologies and Large Implementations and Project Management. He currently heads a large IT team for Deutsche Bank in India, Sri Lanka, Pakistan and Tradefloor for Hong Kong.

Mukund Mudras has a total experience of almost 20 years in the information technology and financial space. Heckyl is in the FinTech space of Real Time News & Price Data Analytics. Prior to Heckyl, Mukund worked with Merrill Lynch as the Head of Fixed Income Group (EMEA). Mukund holds a Bachelor in Electronics Engineering and has completed his executive Management from IIM – Kozhikode. He has done his Diploma in Cyber Law and his Masters in Computer Systems from Bits Pilani.

A versatile entrepreneur & professional with experience in the areas of Commodities Markets - Data Terminals & Finance, Information Technology - Software, Big Data & Artificial Intelligence. He laid the foundation of Raoson Business & Softech Solutions in 2013 with a vision to emerge as leader in Innovative ventures in Artificial Intelligence and NLP for finance domain investors. His vision is to build a computing platform empowering investors to predict market prices with new age technology.

Specialties – More than 18 years of experience in Data Science, Innovation and Project Management in IT, ITeS, Banking and Financial Service domain. Certified Lean Six Sigma Master Black Belt and Organizational Excellence Manager. Also certified instructor and practitioner of lateral thinking tools by de Bono Thinking Systems. Key skills are Python, Machine Learning, Big Data, Process Automation and Technology enablement, SAS, Cognos, SPC, CMMI.

Founding Secretary of Information Retrieval Society of India and co-ordinator of Forum for Information Retrieval Evaluation meeting (FIRE). He has contributed in Information Retrieval and Natural Language Processing since last 15 years. He has published about 50 research papers and edited six volumes of Proceedings for Springer and ACM.

Prithvijit, one of the co-founders of BRIDGEi2i, has 19 years of experience in the analytics industry. Prior to BRIDGEi2i, he was responsible for setting up analytics shared services unit for Hewlett Packard (HP) across multiple global locations. Prithvijit also brings with him the rich experience of being part of the leadership team in building GE’s Analytics Center of Expertise in India. Prior to this, Prithvijit worked in NIPFP and TERI. Prithvijit has been a frequent speaker at international industry forums and has several publications in reputed journals. He holds a Masters in Quantitative Economics from the Indian Statistical Institute, Calcutta and New Delhi.

Puranjoy Bhattacharya is working as data scientist at Infosys, specializing in artificial intelligence, machine learning and cognitive computing for speech, audio, image, video, text and biomedical signals. He worked previously in Intel, Philips Research, Philips Semiconductors, Sasken Communication Technologies and CMC Ltd. Puranjoy has done PhD in Electrical Engineering from Indian Institute of Technology, Kanpur.

Rajib is the co-founder of iRage, a high-frequency trading firm which manages the broadest exchange-traded option portfolio book in India. He is also the co-founder and director of QuantInsti, an 'Algorithmic and Quantitative Trading' training and research institute which trained thousands of professionals from over 130 countries. His prior experiences include high-frequency trading on all major US & European exchanges (Optiver, Amsterdam); data analytics technology (Oracle Corp); business strategy consulting (PwC) and in equity derivatives research (Bloomberg, New York). Rajib holds a MBA degree from IIM Calcutta and is a computer engineer from NIT, Karnataka.

A technocrat per excellence. Currently as CTO of the largest stock exchange in India - NSE, he is handling few exciting new age projects. Educated at IIT (Kharagpur) and IIM – Calcutta, he is hands on with the latest trends in technology, particularly in the finance domain. He has recently organized two highly acclaimed conferences covering varied topics including Blockchain and Artificial Intelligence. He has worked in organizations like IBM, Mphasis, IIFL, Accenture, among others.

An economics doctorate from University of Rochester, USA, has interest in labour economics, financial markets, corporate governance and macroeconomics. Specialties include damages modeling, econometric estimation with expertise in advanced topics such as advanced IV estimation, GMM estimation, simulation-based estimation, time series analysis and non-parametric estimation. Evaluation of economic impact in issues related to antitrust, illegal immigration, merger and acquisition.

Shankar Jadhav also leads the Legal Commercial, Corporate Marketing Communications CSR and infrastructure on BSE. He was previously on the board of Bank of India Shareholding Ltd and is serving on the boards of BFSI Sector Skill Council, Marketplace Technologies and other firms. Shankar has over two decades of senior management experience in MNCs and leading Corporates in Telecommunication, Energy, Information Technology, Consumer Goods & Financial services serving in capacities as CEO, Advisor, Mentor as well as Board member. Shankar is a B.Tech (Elec Engg) from IIT Bombay and MBA (Finance & Marketing) from IIM Ahmedabad.

A marketing analytics professional, Sukiran's passion is taking analytics to non-traditional and underserved areas. He was instrumental in creating the Centralized Credit Risk Modeling, Operations Analytics, HR Analytics, and Financial Crime Compliance Analytics practices for a major bank. Specialties include credit and fraud risk management analytics, financial crime risk, risk management, servicing based operation analytics for production management, procurement, service quality management and customer experience.

Ujjyaini has more than a decade of experience in big data analytics and solved challenging business cases across industries such as Telecommunication, E-Commerce, Retail Banking and consumer goods companies. Ujjyaini started her career with McKinsey & Co. and worked and build advanced analytics team for Bharti Airtel and Flipkart. She is also mentoring students at various institutions and organizations like IIM Ahmedabad, IMT Ghaziabad, SPM, Data Science Foundation etc. where she shares her industry experience with them. Ujjyaini graduated from Chennai Mathematical Institute and did her Masters of Science in Quantitative Economics (MSQE) from Indian Statistical Institute.