X Topic Abstract

Artificial Intelligence and Machine Learning provide faster, more accurate assessment with enormous data processing powers, and consider a wide variety of factors which leads to better-informed and data-backed decisions. AI based outcomes are based on complex algorithms and sophisticated rules to help clients streamline and optimize processes ranging from digital adoption to personalized banking, fraud management, intelligent automation and NLP based customer satisfaction analysis.

Speaker Profile

Manisha Banthia has over 23 years of experience in Analytics in Financial Services and currently heads the Analytics CoE at Fiserv Global Services.

She has earlier worked in Infosys consulting team heading their analytics team and was instrumental in developing building analytics products, including a patent for ‘Customer Analytics for Enterprises’.During her stints at Oracle Financial Services Software (earlier iflex solutions) she built analytics solutions for Citibank (Asia Pacific), and US clients like American Stock Exchange and Country Financial.

Manisha has also worked on Marketing Analytics, Financial Performance and Fraud and Risk Analytics during her tenure at MetricStream and National Stock Exchange of India.

Manisha is based out of Bangalore and heads analytics teams in India, Costa Rica and US for Fiserv.

X Topic Abstract

Natural Language Processing has been the new chip in the block of AI. There has been a significant progress in the domain of language understanding using Deep learning technology. This has given rise to plethora of applications which uses language , written or spoken form, as one of the key medium of communication. Language understanding, especially understanding the context or the big picture, was one of the key challenges.

Thanks to the progress of Deep Learning computing, more specifically evolution of RNN network, this is now falling in line and has been a tremendous success. Automated translation, now almost in real time, Google Duplex AI voice assistant placing a call for seat reservation in Restaurant is a reality. Amazon Alexa has almost become a household butler.

This summer, Tokyo Olympic 2020 will see lot of innovative voice enabled solution to bridge the language barrier. NLP has a tremendous potential as key AI technology and this technology will impact almost all types of business and value added services. It will unblock a key bottleneck in the area of process automation.

In this talk we will explore the evolution of NLP technology, core building blocks and computing backend with some example use cases. We will also talk about few uses cases we have implemented in Tata Elxsi - for example , Virtual sales assistant and Virtual Car Assistant.

Speaker Profile

Biswajit Biswas is Chief Data Scientist @ Tata Elxsi heading the AI Center of Excellence responsible for driving innovation in Digital systems for Communication, Media and Transportation business verticals . He has over 22+ years of Industry experience.

He is very well versed in AI and Deep learning , especially, in the area of computer vision, language and text processing . Before heading Data Science team, he was responsible for Wireless Communication, Multimedia Systems, Digital signal processing , Image, Video and Audio coding, Machine Vision System. He has hands on with developing algorithms in C/C++, Python, TensorFlow, R and devotes significant time in coding, coaching team in various development activities. He also holds a patent for innovation in V2X related technology and has filed Patents for few other innovations in the area of Predictive Machine learning.

He is a Certified Data Scientist from Massachusetts Institute of Technology (MIT, US) Media Lab , Masters from BITS and BE from Jadavpur University Calcutta.

X Topic Abstract

In e-commerce , customer experience can be divided into broadly 3 parts - pre purchase, purchase and post purchase. Drivers of good customer experience vary across these 3 parts of the customer journey. At Myntra , we heavily use data based insights and advanced ML models to identify what product features, merchandise selection and service propositions optimise customer experience while helping the business meet it's financial goals. Some examples include search personalisation, catalogue optimisation using computer vision, automated return approval for "trusted" customers etc. The presentation would cover some examples of projects that have been undertaken at Myntra and also talk about what metrics should be tracked to ensure your company is meeting the customer experience goals.

X Topic Abstract

Data science and Machine learning (DS & ML) platforms are now quite popular and there are more than a dozen good platforms available in the market from reputed vendors. What are DS & ML platforms and what are the advantages of having one in your enterprise. How do you decide whether you need one? Do you need it now or should you wait? What are the capabilities that you should be looking for in your Data science platform?. Learn in this session

Speaker Profile

Vinod Khader has around 20 years experience in Software Development and is an Associate Director at IBM Software Labs in the Data and AI division. In the current role, he leads the development of Watson Machine Learning Platform on IBM's public and private cloud platforms with teams across the globe. Watson Machine Learning platform help Data Scientists, Data Engineers and App Developers in managing the end to end Machine Learning and Model management life cycle starting from Training, Evaluation, Deployment and Scoring (prediction).

X Topic Abstract

Most of them think that AI/ML is a complete black box and only accuracies matter, which is not the case in industry level scenarios or any Machine Learning problem statements.

Interpretation of ML models is highly important and how do we interpret that and tweak it to get industry level stats is the thing which will be covered in this session

Speaker Profile

X Topic Abstract

One complete demo on Visual Question Answering with step by step explanation using Tensorflow or Pytorch Assistant.

Speaker Profile

Building products that scale from mobile apps, backend architectures, ERP system to IoT based analytics. I am a regular speaker at tech events & conferences including TEDx as well as frequent guest lecturer at engineering colleges. Apart from that I have won 17 hackathons till now and participated in 50+ hackathons.

Specialties:

Quick learner, Building business that works, Hiring & Building the team from scratch, Managing Products and teams, Interacting with all stake holders, Exploring latest technologies and bringing into products

Working on end-to-end application design and development on cloud - AWS, Azure & IBM Softlayer, writing mobile sdk, Raspberry pi, arduino, Augmented Reality, Virtual Reality based applications.

X Topic Abstract

How is TVS motors deploying AI and ML enabled solutions to improve customer experience

Speaker Profile

Anand is part of senior leadership team at TVS motors. He leads the data engineering, data science & BI capabilities for customer facing functions like sales, marketing, distribution network, Digital, parts, services etc. In his current role, his goal is to help end-customers get a world class TVSM experience, help channel partners become profitable and help TVS drive sales growth and market share. He intends to do this by enabling faster and better decision making with actionable AI and world-class data management.

X Topic Abstract

Most of them think that AI/ML is a complete black box and only accuracies matter, which is not the case in industry level scenarios or any Machine Learning problem statements.

Interpretation of ML models is highly important and how do we interpret that and tweak it to get industry level stats is the thing which will be covered in this session

X Topic Abstract

In business areas where there are decisions involved that have social implications and we have seen biases in human decisions or data skewed undesirably towards a particular category, it is important that our ML/AI algorithms are tuned to eliminate any such bias that are bound to creep in automatically due to historical data. How to we identify those scenarios and eliminate biases effectively from our Machine Learning algorithms.

Speaker Profile

Manas heads the Wealth Technology Business Unit for ANZ Bank in Bengaluru, a man with diverse interests apart from his role in Technology Delivery – a passionate champion of Innovation, he has helped institute an Innovation Framework in ANZ Wealth Globally including an Innovation Contest that is saving hundreds of thousands of dollars. Manas is also the Chair of the ICT-Academia Expert Committee of Bangalore Chamber of Industry and Commerce (BCIC), where he is presently leading the organisation in a number of Industry-Academia initiatives.

X Topic Abstract

Speaker Profile

X Topic Abstract

Insurance has been a traditional, century old business affair and has largely been unperturbed through the immense technological disruptions & advancements that have been made in the last decade or so. It has to take a leap of faith to evolve out of the traditional models of insuring property, casualty and commercial line items through leveraging AI & emerging technologies such as distributed ledger blockchain in order to revamp its presence to customers My talk will focus on my work in niche microinsurance based product offerings which are tailor made for a focussed audience group, such as: - Easy-to-purchase flight delay insurance using blockchain architecture (ref. fizzy.axa) focussing on millenials and frequent flyer groups - Usage based motor insurance as per the driving behaviour & risk score of the user - Parametric event interruption insurance (such as rains during cricket match etc.) I shall specifically stress on how are we building active machine learning workflows in designing the experience these products cater to their users while also touching upon the architecture which makes it feasible for implementation and monitoring production in the long run.

Speaker Profile

Amitanshu Gupta is the Director of Insurance for Cover Genius which is one of the fastest growing insurtechs based out of Sydney, Australia and leads the development of innovative micro-insurance product portfolios encompassing delays (flight delay insurance, cab trip delay insurance etc.), consumer durables & electronics such as gadget insurance, bicycle insurance etc. offering seamless customer claims experience.

After completing his bachelors in Mathematics and Scientific Computing from Indian Institute of Technology, Kanpur (IITK), Amitanshu has extensive experience spanning both academia and corporates – having designed intelligent systems spanning verticals such as Telecommunications, Retail, E-Commerce and Insurance.

Earlier, Amitanshu headed the New Products & Strategy at Bharti AXA, one of the largest general insurance corporations of India where he led the end-to-end development & deployment of various projects leveraging sophisticated machine learning algorithms on various fronts such as, chatbots / voicebots, risk modelling & recommender engines etc.

X Topic Abstract

What makes explainability difficult in AI/ML

How to go about adding explainability and interpreting it

Adding MLI (Machine learning interpretability) to Deep Learning models across text and vision projects

Pros and Cons of adding MLI in AI/ML models

X Topic Abstract

In this talk, we will cover the basic of Deep Learning and how to implement it hands on for text, images and videos. We will take 3 problems in Machine Learning for text, images and video and build classifier using Deep Learning. We will talk about different architecture like LSTM, CNN for treating images and video. The key take away from this talk is to get the basic architecture of Deep Learning and how to implement them in pytorch to do basic text or image classification.

Speaker Profile

I am a deep learning researcher, after graduating from Indian Statistical Institute with Master's in Computer Science, with specialization in NLP and IR, I have worked with Bing Ads, Microsoft R&D and HSBC Bank as decision scientist to build risk models for bank. I am currently working in Amazon as a data scientist to build models to cater to amazon internal network.

X Topic Abstract

NLP based virtual agents are servicing robo advisory, be it explanation of financial products or of health plan benefits. The use cases will discuss on importance of interplay of ML and conventional engineering to solve end user problems, and explore an NLG approach to tackle the data non-availability issue for training purposes.

X Topic Abstract

Leading EHR provider business wanted to leverage NLP & AI to optimize their efforts and mitigate risk

The support team of a leading US based Healthcare provider is responsible to identify any Priority STUBs out of all the STUBs raised and report it to the regulatory body within 7 days from the STUB raise date

X Topic Abstract

Service Desks requires good strategy and innovation to improve customer service and to support business goals. Cisco TAC is constantly looking at ways to provide customers with the information they need via a self-service capability in an attempt to reduce the number of support requests that are opened. This is frequently referred to as case avoidance. A significant amount of information is lost while exchanging mail, chats or over case notes.

The impediment to progress is the inability to derive actionable insights from this unstructured text since most of the prioritize corrective action is buried in these notes. Using advanced ML techniques along with text mining solution, the objective is to extract actionable insights for TAC that can be used to drive down Service Request volume. The proposed solution comprises of text parser and automated case deflection Conversational NLP solution which can provide an immediate solution using historic data analysis"

Speaker Profile

Vivek is currently a data scientist @Cisco. He has 7+ years of work experience across E-commerce, mortgage, Retails and CPG domains. He is an extensive NLP researcher, he has a pragmatic approach in text mining, NLP, Machine learning and social media analytics. Prior to Cisco, he has also worked across organizations like Xerox, BRIDGEi2i and Altisource.

X Topic Abstract

Glimpse of computer vision
Primer on openCV framework
What is Sikuli framework
Showcasing real life examples using sikuli
An example being how to extract data and send emails all in a single click
How to use your python skills in RPA
Based on available time few more examples that can be easily understood by participants


Introduction to Automation Anywhere community edition
Q&A

Speaker Profile

Bharathi is a Principal engineer with AT&T Communication services India ltd. He works in the 4G and 5G space who is a pioneer in RPA and also in AI field. He is also a PYTHOnator who like to transform the industry. Under his mentorship, hundreds of people (from students community and also from the industry) got into the bandwagon on Python and automation. He holds more than 78 awards within his company and also holder of THREE nanodegrees from Udacity (all in AI field). He loves to develop Alexa based skills as his hobby and ready to embrace new challenges every day.