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Overview of the event

Machine learning is a field of artificial intelligence that uses statistical techniques to give computer systems the ability to "learn from data, without being explicitly programmed.

The "deep" in "deep learning" refers to the number of layers through which the data is transformed. Deep Learning is a new area of Machine Learning research, which has been introduced with the objective of moving Machine Learning closer to its original goals. In deep Learning, each level learns to transform its input data into a slightly more abstract and composite representation.

Facts & Figures About The Event

7 Speakers
7 Topics
50 Tickets

Conference Schedule

Machine Learning and Deep Learning Day (12th December, 2019)
X Topic Abstract

In this increasingly competitive world, delivering personalized customer interaction using machine learning has become key to a business's success. Products are the same and available everywhere. But how do you make the experience of finding the right products easy and fast for your customers?. How do you keep them engaged and not lose to the competitor is a challenge?. These are bothering questions that business needs to address. Personalization ensures that your Products & offers are relevant. This is not just true to e-commerce sites but to enterprise applications and simple consumer apps too. Gartner also predicts that smart personalization engines that recognize customer intent will enable businesses to increase profits by up to 15% by 2020. 74% of consumers get frustrated with the content has nothing to do with them.
This presentation will explore different design strategies on how to build smart personalization and increase satisfaction with more revenue/productivity.

Speaker Profile

Sameer has over 23 yrs of design and leadership experience at leading product companies building desktop, web, mobile, wearable & Speech applications. He holds a Master’s degree in Industrial Design from IIT Mumbai and a Bachelor's degree in Mechanical Engineering. He has published papers, UX patents and has been a speaker at many conferences and colleges. Presently he is the Head of Design at Flipkart.
He has played multiple roles ranging from VP of Design to being a design consultant and entrepreneur. He as worked as VP of Products at Spire Technology, Director Experience Design at Intuit & Human factors Lead at Intel California. Prior to this, he was Chief Researcher for LG R&D Lab in Seoul, South Korea. Sameer has also worked at enterprise software companies across India namely Oracle in Hyderabad and Siemens in Pune. He nurtured his entrepreneurial skills as VP of Design for in Noida. Early in his career, Sameer was an Industrial designer working for Piaggio scooter in Pontedera, Italy and as lead engineer in Mahindra & Bajaj Auto.

X Topic Abstract

X Topic Abstract

AI Product Development is very different to Traditional Product Development. This talk enables the Data Scientists to propagate, gain support on their research on Machine Learning/AI Product.
It covers the entire Product Development life-cycle of an AI Product covering aspects of AI providing them the building-blocks of AI Product development.
This talk balances the AI and Product Development.

Speaker Profile

Amit Baldwa is a Director of Engineering with Finastra Software Services.
A thought leader and strategist, with extensive leadership experience, Amit also mentors Students, Young Professionals and StartUps in varied areas as Career, Business Strategy and Go-to-market strategies.
Amit's experience spans Product Development, Captive Services and IT Consulting organizations. Amit is a AI enthusiast and is building products in the AI space.

X Speaker Profile

Prof S Chandrasekhar is Senior Prof & Director Business Analytic at IFIM Business School B “Lore since Nov 2013.
He was chair Professor (July 1998-Feb 2013) & officiating Director at FORE School of Management, New Delhi (April 2009 to Jan 2010). He joined FORE School in 1988 as Senior Professor. He also headed the software development at Fore School of Management which are developing proto type of products in the area of Business Intelligence, Risk Management, and Customer Relations Management. He has a total of about 34years of experience in R&D, Academic & Industry in the area of Quantitative Techniques & IT. Taught courses in the area of IT, QT, Adv. Market Research at Post Graduate level.

X Topic Abstract

AI is the biggest consumer of Big Data in today's world. Best practices for people in AI to store and run compute on Data.

Speaker Profile

Nishant is an experienced Big data stack developer working at Microsoft Azure Storage Platform team. He has been instrumental in research for developing Vernacular Language Understanding Infrastructure for Indian languages using latest advancements in NLU domain

X Topic Abstract

we saw the shift from mainframe to computers to cloud, now, the cloud is moving to Edge, and so is AI. But, it doesn’t imply that cloud is becoming irrelevant. No, it is relevant, in fact, disruptive technologies like IoT will act as the smart extensions of cloud computing. And now, AI on Edge, can offer a whole lot of new possibilities.,

Speaker Profile

More than 16 years of Experience in developing CNN ,GAN algorithms for image ,Object segmentation, detection and identification, Low light image enhancement ,Face detection and recognition , developing AI framework for edge based devices. experience in developing AI algorithms for NPU and non NPU based devices. Hands on experience on Tensorflow ,MATLAB, Python , JAVA.

X Topic Abstract

What is KG? How is it different from any graph? What kind of business problems can it solve? Its applications. What kind of predictive techniques can be used on top of Graphs?

X Topic Abstract

What is Anomaly and How Neural Networks is helping in identifying Anomalies.
An Overview of detecting Anomaly in the field of
Predictive maintenance
Fraud detection
Health care
Cyber Security

X Topic Abstract

To realize the dreams and impact of AI requires autonomous systems that learn to make good decisions. Reinforcement learning is one powerful paradigm for doing so, and it is relevant to an enormous range of tasks, including robotics and game playing. This session will provide a deep dive into the use of reinforcement learning in game playing including topics such as why artificial intelligence for games, characteristics of AI algorithm design, planning based approaches for game design. We will use multiple criteria for analysing RL algorithms and evaluate algorithms on key metrics. Finally, we will delve deeper into how companies such as Deepmind, OpenAI and others are mastering real time strategy games using a combination of machine learning and tree search techniques, combined with extensive training, both from human and computer play

X Topic Abstract

How can we move away from traditional Recommendation Systems and leverage the power of Deep Learning to provide more personalized recommendations for our customers? Why is it vital to build a Deep Recommender? What should you bear in mind while you build one?

Speaker Profile

Bhavik Gandhi heads the Data Science and Analytics team at as a Sr Director. He has been working in the field of Data Science and Machine Learning for over a decade now. He has worked with various companies like Microsoft, Amazon, IBM and Pepperfry. He did his MS in Computer Engg from University of Florida and his B Tech from NIT Kurukshetra. He has built the Data Science and Analytics team at Shaadi in the last three years and has won the Best AI Implementation of the Year award recently at Cypher. He was also awarded the Analytics 100 Asia award for his leadership and contribution in Data Science. Prior to he was AVP, Services and Analytics at Pepperfry looking after the Back-end Engineering, SoA, Big Data and Data Science teams there. He is also a recognized speaker and educator and speaks at various colleges and conferences on AI, Data Science and Analytics and takes courses in Machine Learning Applications and NLP. He is also a consultant for various start-ups helping them with their product and data strategies.

Our Sponsors

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Avail instant sponsorship at just USD 2000

Instant sponsorship includes
• Branding of your company as Bronze Sponsor – Company's Logo on the event page with cross link to your website.
• One Speaking Slot (45 min -non sales talk).
• 10% discount on registration fee for any delegate from your organization.
• Full day attendance at the event with lunch
• 1 x Roll up stand / Brochure distribution at the event
• Online Interview post of your company's senior executive at our media portal

For Silver, Gold Platinum & Titanium Sponsorship opportunites, please request for Sponsorship Brochure via email at,

Our Sponsors

Media Partners

Digital Marketing Partner

Marketing Partner

Our Past Sponsors

Media Partner


Our Speakers

Amit Baldwa

Director Engineering (R&D)


Ashish Tiwari

Architect (AI/ML)

Global Edge software PVT LTD

Sameer Chavan

Senior Director & Head of Design


Nishant Goyal



Dr Chandrasekhar Subramanyam

Senior Professor and Director Business Analytics

IFIM Business School BANGALORE

Karrtik Iyer

Data Architect


Krishnendu Dasgupta

Senior Consultant - AI & ML


Marutish Varanasi

Head Data Science & AI

Data Sciences & AI Startup

Bhavik Gandhi

Sr Director, Data Science and Analytics

People Interactive (

Want to become Speaker Please register here Register

Our Pricing

Group of three or more(Early Bird)

Rs. 7500 + GST

Till August 31
Group of three or more(Standard)

Rs. 8000 + GST

Till December 12
Individual(Early Bird)

Rs. 9000 + GST

Till November 12
Individual (Standard)

Rs. 10000 + GST

Till December 12

To Register Via Eventbrite

Our Testimonial


Who can attend Machine learning and Deep Learning Day in Bangalore?

• Data Engineers/Developers / Scientists
• Analytics Professionals
• Startup Professionals
• Scientists/Researchers
• Professors
• President/Vice president
• Chairs/Directors

And last but not the least……….
Anyone interested in Machine Learning & thrives to make the future developed and better

Why to attend Machine learning and Deep Learning Day in Bangalore?

Understand the state of development of Machine learning by exchanges, clearing houses, central counter parties and payment systems, and what it means for you.

What will you learn about?

Detecting where underlying problems and frictions exist in your organisation that will be alleviated by Machine learning technologies. Using Machine learning as a tool for innovation across your organisation

Are there any prerequisites to attend this program?


Do I need to register for the event?

Yes, all conference attendees must register in advance to attend the event.