Date

May 16, 2019

Location

Pune

Capacity

50 Tickets

Speakers

8+ Professional Speakers

About the event

Artificial intelligence and machine learning have become one of the hottest topics in business. An army of startups has been funded to pursue the commercial opportunities, whilst the bosses of big companies increasingly look to implement AI strategies at scale.

The AI & Machine Learning Summit has been designed to help business and technology executives cut through the hype and learn how intelligent technologies are being successfully deployed to build competitive advantage, drive new business opportunities, reduce costs and accelerate innovation efforts.

This conference and solutions showcase brings together the entire applied AI ecosystem, including innovative enterprises, industry thought leaders, startups, independent researchers and leading solution providers.


Conference or Event Schedule

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Topic Abstract

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Solutions that can generate accurate estimates of counts are in demand, whether it is for tallying the number of people in a video frame, counting the number of animals of an endangered species, estimating the number of objects or shapes in a picture, or for a variety of similar industry applications.

Traditional crowd counting methods and models that use detection or regression-based approaches have been plagued by challenges such as occlusion, non-uniform distribution, perspective distortion, camera angles and background clutter. They are not robust and often fail with even simple changes to the planned scenarios.

Deep learning based crowd counting solutions offer an excellent recourse to such problems. Cascaded CNN’s use density-based estimations to preserve the spatial information and can localize the count, in addition to estimating the overall tally. Such neural network architectures capture the global and local features and have been drastically improved over the past months, to achieve remarkable accuracy.

This talk will cover the real-world business application of this solution to three industry case studies: a) Marketing campaign conversions in stores by estimating the footfalls, b) Counting the number of Penguins in the Antarctic from camera trap images spanning years, and c) Counting the number of cells in microscopic images.

In this session, we will discuss the business problems faced by the clients, and the analytics approaches that were used to solve them. An overview of the deep learning architectures will be provided along with practical insights on how the various implementation challenges were overcome, in each of these cases.

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Speaker Profile

Sundeep heads the Product Development Practice & Hiring at Gramener. His team is responsible for building Gramex data-science platform and creation of IP driven business solutions on top of it. He leads the overall effort in finding great talent and convincing them to join Gramener. Prior to Gramener, Sundeep has played a variety of delivery leadership roles managing technology teams at Birlasoft, complex E-commerce re-architecture engagements at Comcast.

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Topic Abstract

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The entire world is heading toward a revolutionary transformation from “digitization” to “cognification”, and financial institutions like banks are no exceptions. In fact banks and financial institutions are the ones who has recognized the potentials of digital technologies and artificial intelligence at a very early stage and adopted in their transformation journey. One of the main reasons behind implementing AI is essentially banks have an advantage over other business in terms of knowing their customers more intimately than anyone else and can utilize such information to make highly relevant and personalized recommendations about the financial products and services. This is where a technology like AI brings a lot of value; which can help getting inferences out from the customer information by referencing

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Speaker Profile

Utpal Chakraborty is an eminent Data Scientist and AI researcher having 21 years of industry experience, including working as an Principal Architect in L&T Infotech, IBM, Capgemini and other MNCs in his past assignments. At the moment he is the Head of Artificial Intelligence at YES BANK. Utpal is a well-known speaker and writer on Artificial Intelligence, IoT, Agile & Lean speaking at conferences around the world. His recent research on machine learning titled “Layered Approximation for Deep Neural Networks” has been appreciated in different conferences, institutions and universities. He has also demonstrated few completely out-of-the-box hybridized Agile & Lean implementations in different industries which has been appreciated by Agile & Lean communities worldwide.

LinkedIn - https://www.linkedin.com/in/utpal-chakraborty/
Twitter - https://twitter.com/utpal_bob

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Topic Abstract

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Applying AI to Complement Decision Making Abstract: : Financial decision-making at pharmaceuticals is highly manual. The reason for this is the regulatory and compliance-related requirements of this industry. By incorporating AI into the processing of financial transactions, we are enabling intelligent decision-making with a 90% reduction in errors.

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Speaker Profile

Amitabh is a proven CxO and business leader with experience in transformation and organizational turnaround in Digital, engineering, IT, manufacturing, operations and maintenance. He has 25 years of experience in the US, Europe and Asia in High-Tech, Automotive, Aerospace & Defense, Aviation, Metals & Mining, and Pharmaceuticals. He’s a specialist in developing leaders and high-performing organizations. He has an MS in Computer Science from Texas A&M University, executive education from MIT Sloan School, and Distinguished Toastmaster (DTM) from Toastmasters International.

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Topic Abstract

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In this changing competitive landscape, it is imperative to influence the buying decision of the clients at the right time, with the personalized marketing interventions, and with the right information for their needs to grab better share of wallet. How does predictive modelling help better understand the behaviours, preferences, and needs of clients on a more personal level? How do we best communicate with relevant products in the right message and channel? How can our interactions with them provide maximum value, while simultaneously improving our level of digital engagement? Bio: Head- Business Analytics & Process Engineering, IDFC Asset Management Company Limited, have setup data marts and platform for customer engagement using predictive data models. Skilled in Banking, Market Risk, Asset Management, Pension Funds, Equities and Data Modelling & Analytics. Expertise in performance analysis of MFs and financial planning models. Strong finance professional with an Executive Program in Business Analytics focused in data Analytics and Data Sciences from Indian Institute of Management, Calcutta; MBA Finance from Indian Institute of Finance, student memebr of Institute of Actuary, UK. Worked with organisations like, Standard Chartered Bank, Citi bank, CRISIL, ICRA Online

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Speaker Profile

Head- Business Analytics & Process Engineering, IDFC Asset Management Company Limited, have setup data marts and platform for customer engagement using predictive data models. Skilled in Banking, Market Risk, Asset Management, Pension Funds, Equities and Data Modelling & Analytics. Expertise in performance analysis of MFs and financial planning models. Strong finance professional with an Executive Program in Business Analytics focused in data Analytics and Data Sciences from Indian Institute of Management, Calcutta; MBA Finance from Indian Institute of Finance, student memebr of Institute of Actuary, UK. Worked with organisations like, Standard Chartered Bank, Citi bank, CRISIL, ICRA Online

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Topic Abstract

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The future of work is changing rapidly and there is an urgent need of enabling reskilling and continuous learning. There is no better time than now to critically look at the current digital learning ecosystem and transform it by leveraging the latest technologies, including artificial intelligence (AI). In this session, we will look at some examples of how AI is addressing this need and its potential of transforming digital learning for enterprises and professionals.

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Speaker Profile

Pravin is passionate about solving business problems by applying design thinking and digital technologies. He has 18+ years of experience in the IT services industry in a diverse set of domains and technologies. He has advised global enterprises like Deloitte, Cisco, Honda, and Thomson Reuters on technology strategy and design.

Pravin co-founded Adeptus Technologies around four years back to advise enterprises on technology strategy and architecture. Prior to Adeptus, he has worked with a couple of leading software services companies in Pune and managed technology practices focused on Mobile, Analytics and IoT

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Topic Abstract

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Enterprises and businesses are investing heavily into AI technologies in order to stay relevant and to discover actionable insights that can improve business outcomes. In this AI journey, one of the biggest hurdle enterprises encounter is availability and quality of relevant data. The Next hurdle waiting on the corner is, how to make your AI solutions adapting to the changing business dynamics. The power of AI solutions will be delivered only if the deployed AI solutions stay current to changing business processes, rules and trends.

To achieve this, AI solutions need to be designed and developed in a way that it can learn and adapt to changing business needs like changing housing requirement of IT Employees or changing fashion trends based on customer demographics etc. Enterprises can unveil true power of their AI solutions only by deploying Self-Learning-AI-Solutions, enabling enterprises to maximize the ROI and to reduce the overall cost of developing and maintaining AI solutions.

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Speaker Profile

Bhasha Khose is an Entrepreneur-in-Residence (EIR) for the Cognitive Transformation Incubation Program at TCS. Her vision is to accelerate enterprise AI adoption in order to build the intelligent applications of tomorrow that can think, correlate, reason, retrieve, interact, and learn naturally, just like humans. With over 15 years of TCS experience, she leads platform and solutions development efforts for the rapid development of business-focused AI applications.

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Topic Abstract

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We all know the Digital Marketing Mantra – Right notification, to right person at right time. But how to be right? I will specifically pick the case of Digital Media here, as an industry closest to my heart.

If you are starting at Zero – start with varieties of experiments. Don’t try to be right at the starting. Your aim is to experiment. Divide the customer base into random groups and send them notification at variety of times. Learn the preference, over time you will be better.

If you observe your consumer’s video viewing patterns – you will notice, each one of them has a specific inclination, or specific content preference – lets call is Fandom. Through ML algorithms, derive a Fandom based segment. It’s obvious that, if you like action thrillers, you would be happy to get notified about a new series or movie uploaded on the same genre.

But – how will you know that person A has watched the movie Baby & Holiday because both are Action thriller or because both are related to National security, or because the person is a fan of Akshay Kumar?

Therefore, the thumbnail that you send along with the notification is very important to lure the consumer to click your notification and entice him/ her to watch the content. This is the finest part of the AI that we use.

Interested to know How? Pls attend my session.

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Speaker Profile

Ujjyaini, who passionately loved solving Mathematics puzzles as a child, who left behind the opportunities to join IIT but chose to study Mathematics and Theoretical Computer Science at Chennai Mathematical Institute and then pursued Quantitative Economics at her Masters from ISI Kolkata, received an offer to join McKinsey, one of the world’s best management consulting firm as an Analyst, when she didn’t even know what is Analytics. McKinsey introduced her to the world of Data Science and she spend 6.5 years in travelling across the Globe and solving challenging business cases cross industry – FMCG, Telecom-Media-Tech, E-commerce, Logistics as well as Macro Economic Policy at Govt level.

She then went on to build and lead the Advanced Analytics team of Bharti Airtel, India – where she built a strong team of analysts who delivered few time critical strategic projects in decision science. She ventured the e-commerce domain with India’s first successful startup-Flipkart and joined Media space with Viacom18 Media Pvt Ltd and currently with Zee5 to drive the enterprise level goal of Data driven decision making and monetizing data through right actionable insights.

As a part of her interest to mentor budding managers and data scientists, she joins hands with various institutions and organizations like IIM Ahmedabad, IMT Ghaziabad, SPJain, SPM, Data Science Foundation etc where she shares her industry experience with students. Being a student at the core of her heart she speaks at various conclaves to share her learnings and learn in turn and thus help spreading knowledge with broader group of Analytics enthusiasts.

Beyond her corporate job, she is a certified Hatha Yoga teacher, avid adventure lover and escapes to unknown terrains of Himalaya where she spends time camping amidst marmots or meditating with Buddhists monks or bohemian sojourn atop trucks or learning to prepare yellow cheese from Brokpa tribes. She strongly believes – “The greatest hazard in life is to risk nothing”.

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Topic Abstract

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I will discuss about Conversation AI, how it is being used across different industries and what does the future look like which will change the way user interacts with the agent, from IVR to Alexa based conversation. I will also discuss about how Conversation AI is different from RPA, how it will have its own focus and my sens that it is the dark horse for automation which will surpass RPA since Conversation AI can do much more than just conversation with users

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Speaker Profile

Hemang heads the pre-sales function for Infosys AI & Automation services globally. In over 20+ years of experience in IT, he has worked extensively across Business Development, Pre-Sales and IT Program Management, and account management. Hemang has led multiple programmers involving Project initiation, Planning & Execution; Develop solutions for clients for AI, Conversational AI, AI Ops, Next Gen Technologies.

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Topic Abstract

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Reinforcement Learning algorithms becoming more and more sophisticated every day which is evident from the recent win of AlphaGo and AlphaGo Zero ( https://deepmind.com/blog/alphago-zero-learning-scratch/). It is currently one of the most active areas of the research. This talk will introduce the basic concepts behind reinforcement learning, important reinforcement learning algorithms and its applications.

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Speaker Profile

Trainer, Full Stack Developer and Machine Learning Expert with 12+ years of IT industry experience. Currently Senior Technical Consultant at SAS Research and Development India, Pune. Experienced in software architecture, agile / scrum methodologies and technical thought leadership for the teams. Worked on analytics / NLP projects integrating conversational agents in the applications. Passionate about python, bots, analytics, machine learning, reinforcement learning and deep learning.

Sponsors

Benefits of sponsorship

This is a great opportunity to strategically brand your organization. As a sponsor, you will receive a tremendous amount of visibility and numerous other benefits at the conference.

Sponsorship Levels

Platinum Sponsor (Limited to 2)

Gold Sponsor (Limited to 3)

Knowledge Partner (Limited to 1)

Silver Sponsor (Limited to 4)

Bronze Sponsor (Limited to 4)

Conference Bag Sponsor (Limited to 1)

Track Sponsor (Limited to 2)

A-La-Carte (Open)

       

Brand Your Organisation (for startups)

Standard Price : Rs 30,000+GST

You can also choose to strategically brand your organisation as per the below combo offer.

Package includes:

Full day attendance to the event

Website branding

Logo on brochure

Speaking Slot – 30 minutes presentation slot or panel discussion (optional)

Name tag branding

Brochure inserts

Testimonials

Event Speakers

Utpal Chakraborty

Head of Artificial Intelligence

YES BANK

Vikash Raj

Head - Business Analytics & Process Engineering

IDFC ASSET MNGT CO. LTD

Sundeep Reddy Mallu

Vice President, Product Development

Gramener

Pravin Kulange

Co-founder & Director

Adeptus Technologies

Bhasha Khose

Cognitive Transformation, Program Owner

TCS

Ujjyaini Mitra

Head of Data

ZEE5

Saurabh Deshpande

Senior Technical Consultant

SAS

Amitabh P Mishra

President and Global CTO

Emcure Pharma Group

Hemang Sumant Naik

Solution Head, AI and Automation Services

Infosys

Event Price list (16th)

Conference

Super Early Bird : Rs 7000 + GST
(Till 16th March 2019)
Early Bird : Rs 8000 + GST
(Till 16th April 2019)
Standard Price : Rs 9000 + GST
(Till 16th May 2019)

Brand your Organisation (for startups)

Standard Price : Rs 30,000 + GST

You can also choose to strategically brand your organisation as per the below combo offer.

Package includes:

Full day attendance to the event

Website branding

Logo on brochure

Speaking Slot - 30 minute presentation slot or panel discussion (optional)

Name tag branding

Brochure inserts

Please mail us : contact@unicomlearning.com

Event FAQS

Artificial Intelligence & Machine Learning 2019 in Pune is open to anyone who has an interest in the technology/telecoms industry, Artificial Intelligence, Machine Learning, Sentiment Analysis or any related field.

No

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

A. As this is predominantly an event for the Blockchain, if you are interested in attending. Please note that there will be a charge to attend as a student(can avail special discount as a student).

Yes

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Event Location

Royal Orchid Central
Marisoft - I, Annexe Building, Kalyani Nagar, Pune, Maharashtra 411014
Phone: 020 4000 3000

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Disclaimer and Indemnity

"Confirm your CANCELLATION in writing up to 15 working days before the event and receive a refund less a 10% service charge. Regrettably, no refunds can be made for cancellations received less than 15 working days prior to the event.

However, SUBSTITUTIONS are welcome at any time and is done at no extra cost. The organisers reserve the right to amend the programme if necessary.

Important Disclaimer: The organizers reserve the right to make substitutions or alterations and/or cancel a speaker(s) if deemed necessary by circumstances beyond its control.

INDEMNITY: Should for any reason outside the control of UNICOM Training & Seminars (P) ltd (hereafter called UNICOM), the venue or the speakers change, or the event be cancelled due to industrial action, adverse weather conditions, or an act of terrorism, UNICOM will endeavour to reschedule, but the client hereby indemnifies and holds UNICOM harmless from and against any and all costs, damages and expenses, including attorneys fees, which are incurred by the client. The construction validity and performance of this Agreement shall be governed by all aspects by the laws of India to the exclusive jurisdiction of whose court the Parties hereby agree to submit."