Introduction
Tickerplant is proud to announce AIM 2018 with Official Knowledge Partner - Indian Statistical Institute where the main theme of the conference is Financial Analytics with help of new age Artificial Intelligence (AI) and the conventional Statistical tools.
Artificial Intelligence/ Machine Learning are the latest buzz in any industry today. Though heavily studied, it still remains unexplored to its full potential, at least in India, in the financial services space.
Partners

Official Knowledge Partner
Indian Statistical Institute
Objective
In our endeavour to smoothen activities like risk management, portfolio management, price and trend forecasting, news filtering, credit approval process, fraud assessment, investment strategies, high frequency trades etc., Ticker will host the dialogue to bridge the gap between industry demands and subject experts. AIM 2018 intends to address any blind spots as well as to explore possibilities to incubate some of the outcomes from different tracks during the day long proceedings.
We expect the participants to deliberate on following areas
Who should participate
Topics covered
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:
Signature Speaker - Mr SAM PITRODA
Speakers
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.
KRC 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.
Served as member of Board of Governors and Chaired the Doctoral Programme. Presently member of Reserve Bank of India Technical Advisory Committee on Money, Foreign Exchange and Government Securities Market. Member of Board of M-Cril (Micro Credit Rating International Ltd) & member of Index & Option Committee of the National Commodity and Derivative Exchange (NCDEX), Mumbai.
Mr. Mukund Mudras, Co-founder, Heckyl Technologies
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.
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 latesal Thinking tools by Debono 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.
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.
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.
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.
Ms. Ujjyaini Mitra, Head Analytics, AVP Strategy - Viacom18 Media Pvt Ltd.
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.
Programme Details
Date & Time
7th July 2018 – 9:00 am to 5:00 pm
Venue
The Leela Palaces, Hotels and Resorts Sahar, Mumbai 400059, India
Registration Process
Registration Fee - Rs.6,000/- per delegate
As the seats are limited, book your seats now by calling us
Mr. Vineet Gupta: +91 99302 67782
Mr. Suraj Sangidwar: +91 99302 68016


