Aug 01

7+ Speakers and 100 Tickets

Ways to convince Your Boss Ways to Save

Overview of the event

Proliferation of smart devices that support high Internet speeds and multimedia capabilities is changing the digital data landscape. Considerable amount of digital data being generated these days is in form of audio, video, and images; and this trend will continue to grow in future. Organizations must equip themselves competently to address the evolving demands of data analytics driven by this change.

Image and video analytics is an important computer vision technology with the aim of making sense of image and video content in order to ultimately understand ubiquitous and rich source of information. It has been used in diverse multimedia applications, including visual surveillance, healthcare, smart cities, and security. These has led to a massive research effort devoted to research challenges in the development of image and video analytics for processing, analyzing, and interpreting the multimedia data.

The aim of this special 121 Knowledge & Networking event is to consolidate the state-of-the-art and the main challenges in image and video analytics.

Facts & Figures About The Event

9 Speakers
9 Topics
100 Tickets

Conference Schedule

Image and Video Analytics Summit, Bangalore

X Topic abstract

The major breakthrough that happened in deep learning till recently is about processing images, identifying features, training features to recognize patterns from images and classifying images. That gives a lot of confidence to the organizations to automate various use cases that involves manual classification of images. The deep learning approach to feature extraction and image classification not only saves time, but also increases accuracy significantly, reduces human bias in making judgements. For example use cases like, images from vehicle insurance claim data base can help in making assessment of severity of the claims and hence prioritization in terms of clearing the claims. Identification of fraudulent claims showing older scratches in the vehicles, as new ones. etc. In this talk i am going to discuss more about feature extraction and modeling on Image data set to identify patterns and perform classification.

Speaker Profile

Pradeepta Mishra is a data scientist by profession, has expertise in designing Deep learning frameworks, implementation of machine learning systems, artificial intelligence systems for performing tasks such as understanding natural language, recommendation based on natural language processing, prediction and classification related tasks. He has filed two patents as an inventor which is currently pending status. He has authored two books on 'R data mining blueprints' and 'Mining text, sentiment, web using R'. There are two courses available on Udemy created from his books. He has delivered a Talk in Global Data Science conference 2018, at Santa Clara, CA, USA. One of his book has been a recommended text in HSLS centre, University of Pittsburgh, PA, USA. He has delivered a TEDx talk on 'Can Machines Think?', a session on power of artificial intelligence in transforming different industries and changing job roles across industries. He has mentored almost 2000 data scientists globally. At present authoring third book on 'Deep Learning using Python' expected to be published in last quarter of 2018. As a speaker delivered 20 plus tech talks on data science and artificial intelligence in various meet ups, technical institutions.

X Topic abstract

Computer Vision at the Edge
As analytics & computer vision on the cloud gets increasingly commoditized, the cutting edge for computer vision is moving to “The Edge” - the network endpoints. This talk will center around how Kaaenaat has built sophisticated computer vision and deep learning algorithm that run on low-powered devices costing less than $50. Akbar will also discuss the next level of differentiation for ambitious companies in the computer vision and deep learning space.

Speaker Profile

Akbar is a big believer in seeking out difficult challenges & solving hard problems. Over the years, teams led by him have created multiple innovative products & services and patented 20 inventions.

His current startup - Kaaenaat - creates robots & autonomous vehicle technologies for India & other emerging economies.

Akbar has a MS degree from Georgia Tech in Electrical Engineering, but has played roles as diverse as a teacher trainer, mechanical engineer, software coder, salesman & inventor.

X Topic abstract

Give brief overview of Support Vector Machines and Convolution Neural Networks

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 developed 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.

Awarded NASSCOM-DEWANG Mehta award for best teacher in IT in Year 2010
Awarded India Higher Education forum award for contribution of Technology in higher education.2012
Awarded Times of India Education times Award for Contribution in IT area. 2013
Facilitated as one of the best teachers by IIM Lucknow Alumni during Silver Jubilee Celebrations.
Awarded Excellence Award for Contribution in IT Education by Asian Customer Engagement Forum in Dec 2014
Facilitated by World Wide Achievers forum for contribution in IT March 2015.
Outstanding Contribution in Education by India Education Network in Sept 2016.
One of TOP Ten Professors in the country in Business Anytics – Analytics India Magzine 2017.

Conducted research in developing a model for predicting the Loan rating transition using Sentiment Data and Quantitative data using advanced predictive modelling techniques. Patent has been filed for this work.

Prior to this he worked at Indian Institute of Management, Lucknow for about ten years(1988-98) as Professor in the area of Computers & information Systems. Member Secretary of IIM L Governing Board for about three years.

He holds a Bachelor’s degree in Electrical Engineering, Master’s degree in Computer Science from IIT, Kanpur and Doctorate in Quantitative &Information Systems from University of Georgia, USA. Worked in India, USA and Canada in reputed organizations like TIFR, ISRO, NRSA, FORD Aerospace Corporation, National Research Council before joining IIM, Lucknow.

He worked as visiting Professor at Manchester Business School, U.K. for about a year. He has taught courses in the area of Information Technology, Decision Sciences and Forecasting. He also held other Academic administrative position at IIM Lucknow as Chairman Admission, Chairman quantitative & System Group, Head of computer Center, Member IIML Governing board etc. and conducted a number of Management Development Programs for Industry Executives.

Professor Chandrasekhar is a Fellow of the Institution of Electronics & Telecommunication Engineers, Fellow of Institution of Engineers, and Fellow of Association for Information Systems and Senior Member of Computer Society of India. Published papers in National and International Journals and also presented papers at various International Conferences, Chaired sessions at Intl/National level conferences, Guided students for their Masters and Doctoral Work.

Also a regular speaker in quite a few reputed Institutes like IITM, IIM,IIFT,RBI Training College, National Insurance Academy National Institute Of Bank mgmt etc.

Consultant to various industries in the area of Business Intelligence, Predictive/Descriptive Analytics, Risk management

Founder director of Startup Company incubated at IIT Kanpur funded by SIDBI developing cutting edge solutions in the area of big data Analytics and Risk mgmt.

Contact Information: 9686696671 080-23648671

X Topic abstract

Computer Vision or Image Processing was employed as a stand-alone AI technology and hence was limited to Narrow AI use cases like OCR, Object Detection . But now Computer Vision is gaining prominence because of its application in more business critical use cases when coupled with other cognitive technologies. Especially when computer vision is used in conjunction with Natural Language Understanding there is a whole of possibilities for enterprises to explore which were not possible earlier. This speech explores the use cases and success stories of Computer Vision + Natural Language Applications.

Speaker Profile

A management professional and an innovationleaderwith 11+ years of experience in various industries across the globe, Senthil has broad and deep knowledge on the evolution of analytics industry, having built global analytical centers working across 10 countries, primarily in areas ofCustomer & Marketing Analytics for Retail, Banking, Telecom & Life Sciences. He has filed over 6 patents in areas of Natural Language Generationa, Automated Machine Learning, Machine Reasoning and Natural Language Processing.

Functional specialization and career overview.
Senthil started his career as market research analyst with firms like IMRB and Nielsen, before moving onto advanced analytics. During his stint with ABIBA Systems, he had consulted, deployed and delivered large scale analytics projects for leading telecom majors like MTN Group, Airtel, Orange and Virgin escpecially in areas of customer and marketing analytics. Later in his role as Head of Product Strategy in ABIBA Systems, he was instrumental in launching three products in the areas of Customer Analytics, Campaign Analytics, and Mobile Social Network Analytics. Later in DataRPM as Director – Product Management, he was instrumental in launching a Cognitive Computing Platform called Smart Machine Insights. His specialization lies in conceptualizing, building and managing analytics products and platforms.

Recent efforts and relevant details (related to Panel topic) w.r.t. current role.
At present, he is leadingthe AI & Cognitive Sciences Initiatives in Marlabs. As a part of this initiative, his team has launched an AI & Cognitive Computing Platform called mAdvisor, Data Scientisit in a Box, that aims to to automate the entire cycle of data analysis & machine learning without any manual intervention. He has also been closely working with investment banks and mortage firms in identifying and developing AI use cases, frameworks and solutions.

Company vision and focus at present and recent future.
Marlabs envisions to be at the forefront of Digital Transformation by being the Innovation Partner of Choice for our customers. Marlabs has recently highlighted its commitment to digital transformation by setting up a state of the art innovation centers in New Jersey and Kochi. It has also invested heavily on emerging technologies like AI, AR/VR, HCI, Blockchain, CyberSecurity& IIOT.

Educational background& general details.
Senthil has done his B.Tech (IT) from Anna University and MBA (Systems & Marketing) from BIM Trichy. He resides in Bangalore with his family. Enjoys spending time reading books on business, strategy and technology.

X Topic abstract

I will be talking about challenges in implementing image classification projects across few specific industry verticals.

Speaker Profile

I am Marutish Varanasi with about two decades of experience in developing and implementing IT systems for enterprises across verticals. Marutish works in the areas of Big Data Analytics with a focus on cloud, IoT, Machine Learning and AI. He has worked on Govt projects, Public & Private Sector projects in India and USA. Currently, he is working with a start-up as a Head Big Data Analytics & AI.

X Topic abstract

This presentation will cover practical use-cases, demos and solutions using Audio, Video and Image analytics for Media and Entertainment industry. Topics include:

Contextual Advertising in Fashion Show Videos
Player Face Recognition in Sports Videos
Audio-Visual Analytics for Sports Highlights
Speech Analysis for Humor Detection in Sitcoms
Bots for Audio-Visual Content Search
Artist-Relation Graph for Music & Movie Recommendation

Speaker Profile

Amruta Purandare is currently working as an Associate Director in the Analytics Centre of Excellence (CoE) at Happiest Minds Technologies, leading the Artificial Intelligence (AI) and Cognitive Computing group. Her areas of interests include: Computer Vision, Image Processing, Video Analytics and Multimedia Technology. Amruta holds a Bachelor's Degree in Computer Engineering from Pune University, India and Master's in Computer Science from University of Minnesota, USA. Prior to joining Happiest Minds, Amruta worked as a Principal Data Scientist in MakeMyTrip, India's leading online travel company, and as a Project Lead in the Analytics team at Persistent Systems Ltd. She has over 10 years of experience building practical applications in Data Science, Machine Learning, Natural Language Processing and Intelligent Multimedia Systems.

X Topic abstract

In the current era of digital communication, the use of digital images has increased for expressing, sharing and interpreting information. While working with digital images, quite often it is necessary to search for a specific image for a particular situation based on the visual contents of the image. This task looks easy if you are dealing with tens of images but it gets more difficult when the number of images goes from tens to hundreds and thousands, and the same content-based searching task becomes extremely complex when the number of images is in the millions. To deal with the situation, some intelligent way of content-based searching is required to fulfill the searching request with right visual contents in a reasonable amount of time. There are some really smart techniques proposed by researchers for efficient and robust content-based image retrieval. In this Talk, the aim is to highlight the efforts of researchers who conducted some brilliant work and to provide a proof of concept for intelligent content-based image & Video retrieval techniques.

Speaker Profile

I am passionate about Digital Marketing. I have more than 12 years of combined work experience in corporate and academia, With core expertise in Digital & Social media marketing, Paid Advertisements, Web Analytics, SEO, Lead Generation and ORM-Online reputation Management.
Have Trained more than 7000+ Trainees from top MNC companies in last 8yrs. and also conduct training programmes for companies on the Advanced Digital marketing concepts. Founder & Trainer -NIDM INDIA - National Institute of Digital Marketing.
Empaneled Trainer for NIIT- - Digital Marketing & Faculty - Manipal Pro Learn.
Sr. Digital Marketing Consulting Trainer, Times Pro - Bennett Coleman and Co. Ltd. (Times Group).
Guest Faculty and Speaker at MS Ramaiah Management college, Sheshadripuram Management college, PES University, Presidency College, IBMR Business school, Reva University & 10+ MBA Colleges in South India. Have delivered more than 150+ Digital Marketing workshops in last 8 years.

X Topic abstract

There are many engineering and enterprise uses cases that are being increasingly solved with image and video analysis.

The platforms that enable these use cases needs to be engineered.

The talk will provide a case study driven analysis of the characteristics of images and videos and the platform required for storing, serving, model training and deployment of models.

X Topic abstract

In the last ten years, I have built a number of machine vision systems, mostly for quality control in the manufacturing segment. A typical system consists of a camera, a processing unit, an actuator and a database.

The value offered to customers are
100 percentage inspection and quality control of parts manufactured instead of sampling.
Statistical Process Control
Better automation

The machines are used in
Automobile industries
Food processing

The talk shall discuss
The machine vision framework both software and hardware
Technologies and industry standards.
Machine vision capabilities and performance
Low hanging fruits
Pain points
Open problems.

Speaker Profile

Jemshid is the co-founder of Bytematics Technologies Pvt. Ltd. Bangalore which works on lean conversion to Industry 4.0 for manufacturing industries. His areas of expertise are mathematics, artificial intelligence, data analytics, machine vision, computer vision and robotics. Prior to Bytematics, he was co-founder and CTO of one of India’s first machine vision companies. He is involved in many maker communities and mentors maker activities.

Our Pricing

Group of three or more

Rs 5000 + GST

Till August 01
Early Bird

Rs 6000 + GST

Till July 01

Rs 7000 + GST

Till August 01

Our Sponsors

Use this opportunity to improve the visibility of your organization

Instant Sponsorship
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 Speakers

Mahesh Prabhu

Vice President & Global Head of Innovation

ITC Infotech India Ltd

Akbar Ladak

Founder & CEO


Marutish Varanasi

Head Big Data Analytics & Data Science

Big Data Analytics & IoT Startup

Amruta Purandare

Associate Director - Analytics Centre of Excellence (CoE)

Happiest Minds Technologies

Kumar MS

Founder & Trainer

National Institute of Digital Marketing

Pradeepta Mishra

Chief Data Scientist


Binu Aiyappan

Practice Director - Data Platforms

Wipro Technologies

Senthil Nathan

Practice Head - BI, Data Science and Big Data

Marlabs Inc.

Chandrasekhar Subramanyam

Sr Professor and Director Business Analytics Center

IFIM Business School



Bytematics Technologies Pvt. Ltd

Our Testimonial


Who can attend Image and Video Analytics Summit in Bangalore?

Image and Video Analytics Summit 2018 in Bangalore is open to anyone who has an interest in the technology/telecoms industry or any related field. Chairmen, CEOs, CTOs, CIOs, Managing Directors, Global Heads, Analytics specialists from banks, financial Institutions, financial service providers, accountants, consultancies, financial technology companies, fintech innovators and entrepreneurs.

Why to attend Image and Video Analytics Summit in Bangalore?

Understand the state of development of Analytics technology 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 Analytics technologies. Using Analytics 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.