January 19, 2017




100 Tickets


14+ Professional Speakers

About the event

This Summit - amongst UNICOM annual events- brings together industry professionals, companies and individuals from the field of Big Data and Analytics. We recognize that this core sector in business and technology is currently the big wave. Besides being a key focus area, arguably, in future, this alone is likely to be the differentiator between successful organizations.

India Analytics, IoT and Big Data Summit 2017 is coming to Delhi for one day – January 19th. Allowing excellent networking on top of intensive classes, case studies, demos and workshops that were offered. Previous iterations of India Analytics, IoT and Big Data Summit have allowed us to select and bring back only the finest speakers and top scoring classes to make sure that your Analytics & Big Data conference is unparalleled.

This conference will provide an opportunity to discuss and delineate the latest advancements in Data Analytics and big Data, focusing on the development and use of innovative solutions for the businesses. Attendees will hear from a variety of industry expertise, leading research and development organizations and top most academicians.

Internet of Things: Link your World" - Exploring the latest happening in IoT Industry and how the Internet of Things will offer businesses and consumers.

With a theme of "Enough talking about Big Data, Learn how to DO IT at India Analytics, IoT and Big Data Summit" - the conference this year will focus on talking about Analytics ,IoT and Big data from a general context and getting deeper into the Big data mind-set and imbibing Analytics and Big data in our life. Following are the tracks identified within the theme:

- Best in class methodologies to institutionalise big data analytics in your organisation
- What is your role in driving a cultural shift to a data driven decision making?
- Draw actionable consumer insights based on your data analytics capacity
- Integrate analytics with marketing strategy & CRM to build a loyal, long lasting relationship with your clients
- IoT in Home Automation & Wearable Devices
- IoT Analytics & Security

Software Olympiad 2017

Software Olympiad 2017 is an initiative of India Analytics, IOT & Big Data Summit 2017 and UNICOM to run India's most prestigious Corporate Quiz on Software Technology and IoT.

Pre-conference Workshop

Big Data Analytics - 3 Days Workshop (16 - 18 January, 2017)

Pre-conference Workshop

Conference or Event Schedule

X Topic Abstract

Technology has evolved at a lightning fast pace, forcing organizations to either transform or be left behind. Here in India, with the economic landscape fast changing, organizations are searching for innovative ways to disrupt their industry and the most effective secret weapon used is data. How do you evolve your data science practice from the cold, clinical measurements data is traditionally used for to an agile road map that guides your strategy? Given the contrast between the brute force of a machine vs the dependency on intuition and relationship building in businesses, is this even possible? Can humans keep up with the rate at which machines can scale? And given the amorphous nature of Indian data, is this even possible? During this talk, we will answer these questions and more as we chalk out different solutions and ways to circumvent challenges in an Indian context.

Speaker Profile

Driven by identifying patterns, deriving insights and problem solving, data science and Vanitha was a natural fit. She has been instrumental in Oxigen’s evolution to a data-driven organization backed by a decade of experience in gleaning actionable insight and scalable data science solutions. She and her team enable key business decisions through the solutions they develop. When they’re not working they are exchanging random trivia or GoT analysing usually over chai and nuts.

X Abstract

Sub topic includes:
Old story on usage of Open Data
What is Open Data
Most Organizations are ignorant of Open Data Opportunities and Benefits
DIKW Model
Why Open Data
Open Data Ecosystem
Landscape of Open Data
Real Life Examples of Open Data
Attributes of Good Open Data
Information Hoarding
Benefits of Open Data from European Data Portal
LOD Project
Potential of Open Data
Power/Application of Open Data
Open Government Data Platform India(GOI)
Open Data Vs Big Data

Speaker Profile

A Visionary Technocrat with complete knowledge of various technologies with 20 years’ rich experience in of Business Intelligence, Data Integration, Data Management, and Analytics
Business Intelligence/Big Data, Data Warehouse/Analytics/Database Technologies, MDM, Data Governance, Information Management
Industry preference: IT
Location Preference: Gurgaon/NOIDA, Delhi, Bangalore, Pune, Hyderabad, Chennai/Mumbai

X Topic Abstract

While IoT captures data about the environment using external sensors, these days, mobile devices also have a significantly large number of sensors. Currently, 7% of consumers own a wearable IoT device, and 4% of consumers own an in-home IoT device. So it is important to look at the IoT data analytics from a perspective of a combination of the IoT and the mobile sensors. In this talk, we will discuss about the type of data that can be derived from mobile sensors and the data analytics that can be performed on such data and the potential use-cases that can be derived through such mobile data analytics.

Speaker Profile

Nitendra Rajput defines and leads the MobileFirst agenda for IBM Research in India. His team invests in developing research technologies that can add value and help differentiate the IBM Mobile portfolio, be it a product, a service or an industry specific solution. In 2016, he has been focussing on adding research and innovation in the context of the Apple-IBM partnership and on enhancing the mobile HCI platforms. From a industry perspective, he works on applying mobile technologies to travel and transportation, education, retail and financial industrires. His personal interest is to build novel interaction systems, mostly focusing on the mobile platform. Based on such work, he has delivered several tutorials and conducted workshops in the mobile and speech areas at top ACM venues internationally. (MobileHCI, IUI, CSCW, CHI). Nitendra is an ACM Distinguished Scientist and an iEEE Senior Member. He is also an IBM Master Inventor with over 60 patents to his name.

X Topic Abstract

The latest advances in natural language understanding has created a massive paradigm shift in dealing with text related data problems. Deep learning has created a revolution in the NLU space and corporations are leveraging it in various ways. The technology barrier is significantly reduced with open source technologies that are easy to configure and use. Several open source tools are available in the machine learning domain for traditional natural language processing to deep learning. Helpful implementation tips will be provided along with evaluating the technologies and tools.

Speaker Profile

Dr. Nishant Chandra is a R&D Scientist in the office of Chief Data Scientist at AIG and leads the group in India. His primary responsibility is to develop natural language and machine learning models for the insurance industry. Prior to AIG, Dr. Chandra has worked in insurance, telecommunication, R&D, and technology companies in US and India. He developed and implemented natural language predictive models that are deployed in top banks and telecom companies resulting in $100M impacts across value chain. Dr. Chandra has five patents and several publications in international conferences. He has also been a reviewer and speaker for IEEE conferences. He received his Ph.D. from Mississippi State University.

X Topic Abstract

Enhance the performance of analytical algorithms used in Sales/ marketing/ pricing/ operations etc. by using the image processing and deep learning techniques. We have seen lift in the range of 10-40% in inventory management, fulfilment, replenishment, pricing strategies by using machine vision along with all other data points.

Speaker Profile

Sandeep heads the Data Science Practice at Brillio. He has over 9 Years of experience in Analytics with significant exposure to CRM, Marketing Analytics, Business Modeling and Analysis for Consumer Banking, Insurance, Remittances, Retail, Media and Online Domains. He is a keen planner with track record of understanding business processes of client organizations, formulating business models and strategies aimed at enhancing processes and functions of the client organizations. Sandeep has hands on exposure in the conceptualization of processes and procedures as per established credit policies, risk culture and control environment guidelines for the Banking, Retail and Financial Services. He has built multiple real time analytical applications, by using not just traditional transactional /demographic databases but also unstructured data from paid and free data sources.

Sandeep has done his MS in Medical Image Processing from University of Aberdeen, UK and his BE (Biomedical Engineering) from Osmania University, Hyderabad, India

X Abstract

Topics Covered
1.Hadoop Overview &it’s Ecosystem
2. Anatomy of Hadoop Cluster
3. Hadoop Hands-On Exercise :
4. HDFS – Hadoop Distributed File System Name Nodes and Data Nodes
5. Hands-On Exercise on hadoop commands
6. Data ingestion:
- Apache Hive and partitions and indexing in hive
- Apache Sqoop : A Broker between Rdbms and HDFS.

Scripts: Shell script to work with Hive and Hadoop ecosystem for Data Movement.

Speaker Profile

An experienced Data Engineer with 5+ Years of Hadoop/Scalable technologies. Ability to design, articulate and deploy solutions based on business specifications while leveraging personal knowledge of Analytics, Modelling and Parallel Processing Specifications.

Exposure to Different Domains:

1. Advertisement and Branding
2. Travel Industry
3. Retail
4. Fintech

Employment Details:

Present Organization: Oxigen India Services Pvt, limited.
Designation: Architect
Languages: Python, Julia, Shell and Perl
Manager Name: Vanitha Vivian D’Silva


Hortonworks Certified Hadoop-Developer.
Capital Market dealer module- Equity and Derivatives.

Presented Papers:
1. Platform Development for Heuristic Machine Learning
2. Stream Processing using Apache SolR and Morphline Content
3. Decision Tree classifier using CSEME based partitioning and collaborative indexing

X Topic Abstract

Detection of Security threats and their fast resolution have become top most priority of every mid and large size enterprise. Today an enterprise has 100s of servers and person computing systems that are interconnected and connected to the outside world which exponentially increase the risks to smoothly conduct daily business operations.

A large variety of SIEM and Security analytics solutions are available in the market place today that address above challenge but these solutions are expensive to purchase and manage.

With advent of big data technologies capable of handling huge volumes of log data using commodity hardware, the total cost of owning such SIEM solution can be reduced significantly.

During the session, we can provide a walk through on:

1. Introduction to Big data SIEM
a. Foundation
b. Prerequisites
c. Challenges

2. Walk through of Hadoop and other Big data technologies useful for SIEM
3. Demo of eVigilPro application built using these technologies & how it can help in strengthening information security posture
4. Q&A session

Speaker Profile

Mahendra Ramani is a Program Manager at eClerx Services Limited.

A Business and Technology leader with over 15 years of experience in areas of IT Program Management, IT Strategy and Business Analysis, Mahendra currently leads the Analytics and Business Intelligence delivery function for the Software Services division of the firm.

Mahendra has contributed for the Industries of eCommerce, Financial Services and Government with focus in areas of Digital Marketing, Data Management, Big Data, Data Analytics, Competitive Intelligence and Travel & Leisure.

Being always conscious of demonstrating value creation, Mahendra believes in developing and deploying Software Products as part of the "Productized-Services" strategy of IT/ITES delivery.

Mahendra has a B.E. in Mechanical Engineering from The University of Pune and an MS in Systems Engineering from the University of Maryland, College Park, USA.

X Topic Abstract

AI and Machine Learning are now everywhere whether it is in the form of advanced analytics or chat bots or driverless cars. In this talk I would like to talk as to how sophisticated machine learning techniques are challenging traditional analytics and empowering the business. I would cover some case studies from my current and previous roles, where AI was able to simplify processes and save huge costs for the organization. How AI empowered the business and provided them tools to solve quite a lot of problems automatically. I would also like to do a small 10 mins hands on session where I can build a simple AI solution live and show the audience how easy it is to use some of these technologies.

Speaker Profile

Ankur Kaul is the Innovation Lead at Fidelity International. Leading Fidelity's innovation bandwagon in India and creating new possibilities and capabilities by constantly exploring new technologies. AI and Machine Learning is a major incubator within the lab and Ankur is a specialist in this field. Having developed systems which challenge the status quo and bring a new degree of automation in the organization. Some of the key highlights include developing an voice analytics system to detect emotion from voice, a general purpose forecasting engine which is being used by multiple teams across the organization. Other areas of interest include IoT, Innovation and Intraprenuership.


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)


Instant Sponsorship

Instant Sponsorship $500  View details



Instant Sponsorship includes:

 Logo/link on UNICOM website

 Logo on presentation screens throughout conference

 2-day Conference Pass

Past Sponsors


Event Speakers

Nishant Chandra

Data Science Leader


Ankur Kaul

Innovation Lab Technical Lead

Fidelity International

Sanjay Rai

Senior Manager


Nitendra Rajput

STSM & Research Manager

IBM India Research Lab

Sandeep Devagiri

Head, Data science


Vanitha Vivian D’silva

Head-Data Science and Analytics

Oxigen Services India Pvt Ltd

Sripada H Ravindranath


Oxigen India Services Pvt, limited.

Mahendra Ramani

Program Manager

eClerx Services Limited

Event & Workshop Price list(16 - 19 January)


Early Bird : Rs 6,999
(Till 25th December 2016)
Standard Price : Rs 8,999
(Till 19th January 2017)

Big Data Analytics Workshop
(16 - 18 January)

Standard Price : Rs 25,000
(Till 16th January 2017)

Event FAQS

India Analytics, IoT and Big Data Summit in Delhi is open to anyone who has an interest in Big Data & Analytics or any related field.


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

As this is predominantly an event for the IT Industry and Open Source Community, 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 you can, please contact with what you would like to be changed and we can assist.

Please fill the below details of your colleague and send us an email block the seats.

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Event Location

The Suryaa
New Friends Colony,
New Delhi,
Delhi 110025,
Phone: +91 11 2683 5070

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Contact Us

Unicom Address

2nd Floor, #99/A,
Green Glen Layout,
Bangalore – 560103 ,
Karnataka, India.
Phone : +91-8042023134

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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.

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."