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Overview of the event

Data visualization is both an art and a science, in general terms it describes any effort to help people understand the significance of data by placing it in a visual context.A primary goal of data visualization is to communicate information clearly and efficiently via statistical graphics, plots and information graphics.

Data Visualization Conference in Bangalore will bring together industry professionals and thought leaders from the field of Data Visualization. It will help you in understanding and implementing data visualization in your business/for your client. It will also provide an excellent opportunity to interact and network with some of the top minds.

Facts & Figures About The Event

7 Speakers
7 Topics
100 Tickets

Conference Schedule

Data Visualisation Summit, Bangalore
X Topic Abstract

It is a common notion that DL models are to an extent are black-box models, which can not be represented in any sort of visual form. This talk is an attempt to show visualisations relevant for Machine Learning and Deep Learning Models, the method and process of representation would give clarity to practitioners, of what type of representation would be required for what time of ML or DL models

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 and community arranged forums.

X Topic Abstract

The objective of business intelligence is to build charts and visualizations from enterprise data that informs users about how organization is performing across various metrics. Despite its powerful array of visualizations, the current generation of BI tools put the onus of interpreting the charts on the users. The burden of understanding and getting the information from dashboards and reports has been always on the users. Artificial Intelligence (AI) with its advanced suite of technologies like Natural Language Generation (NLG) enables extraction of patterns and creation of narratives for any visualization. Automated narratives help even non-technical audience to get the best use of BI.

Speaker Profile

A management professional and an innovation leader with 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 of Customer & 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 leading the 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

In this session we will explore a list of charts categorised by their data visualization functions or by what you want a chart to communicate to an audience. While the allocation of each chart into specific functions isn't a perfect system, this session will focus on a useful guide for selecting chart based on your analysis or communication needs to make the best representation of data.

Speaker Profile

Srini Rengarajan is an experienced professional in the field of Data Science and Analytics with over 22 years of industry experience.

Currently he is the global head for Data, AI and Data Science at 3i Infotech.

Prior to joining 3i Infotech he was part of the leadership team at Wipro, Mphasis, iGate and Teradata.

He has spoken in various industry events and has many publications to his name.

X Topic Abstract

Data is goldmine , We will look Practical data visualization techniques taking a real life web application data from and , check out at various visualization options from Google, Open Sources and Oracle Analytics Cloud , when to use which DV Technique and how to use them as well.

X Topic Abstract

Anaconda is a free and open source distribution of Python and R programming languages for data science and machine learning related applications. It simplifies package management and deployment. Python Anaconda packages are most demanding in data science applications as it has a number of libraries that are well documented.

The discussion will be focussed on data visualization in a Python environment and will discuss two examples of machine learning problems: Regression and classification demo. Important Python libraries will be discussed briefly during the demo.

X Topic Abstract

Topic will cover following areas:

• Data flow in a typical marketing world and where all data visualization plays a role.
• How data visualization helps marketing teams to succeed. Be it a Strategists or the operations team or a data scientists, data visualization always help you to make better smarter decisions.
• Demo of some data visualizations that has helped marketing teams to make real time decisions
• Sneak peek into a platform that can solve end to end data visualization solution.

X Topic Abstract

Data visualization is basically used for three main reasons; speed, comprehension and for depicting relationships. Storytelling gets life when data visualizations are used, data visualization helps turn business insights into actions more effectively. Data visualization helps to balance the requirement between author driven narrative and reader driven narratives.

Data visualization shouldn’t be interpreted as just use of technology & tools it is actually bringing data to life for actionable insights. The first step in data visualization is to understand what exactly is the business requirement followed by mapping the requirement to the target audience, decisions, channels and then applying the best practices in terms of layouts, charts, colours etc. It is important to know the type of your data is it quantitative, continuous, discrete or categorical.

Estimating the ROI for Data visualization is becoming critical. It should be around improving the productivity, increasing revenue, increasing compliance or reducing risk. It is important to ensure that we shouldn’t be data rich and information poor. Without effective data visualization, business decision-makers may find it difficult to understand or might misinterpret the results from BI and analytics applications.

Speaker Profile

Renny has eighteen years of experience in the management consulting area with expertise in the areas of Digital Strategy, Customer Analytics and Business Process Re-engineering. He has executed consulting engagements in USA, Canada, Mexico, Slovenia, South Africa, Singapore, South Korea, Malaysia & India Renny was instrumental in setting up the Social Analytics practice in IBM which focused on using social data along with enterprise data to create actionable insights for the business

Renny was one of the authors of a consulting business accelerator offering focused on Citizen Social media analytics, he was also instrumental in creating a business accelerator on integration of Social media with Smart City offering.

He has been a speaker in many events in and outside India and has spoken on areas like Data Visualization, Customer Analytics, Digital Marketing and Smarter Cities He has done his Bachelors in Mechanical Engineering, MBA in Operations Management and has an advanced certification in Strategy Management from Indian Institute of Management.

X Topic Abstract

We are going share some of the visual landscape to compare different environments. The concepts around which visual and based on how you decide which visual to use when. I will share some of the interesting visuals using plotly, jupyter and d3 etc.

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

Senthil Nathan

Practice Head - BI, Data Science & Big Data

Marlabs Inc.

Pradeepta Mishra

Chief Data Scientist | AI Architect | Author | Guest Faculty | TEDx Speaker | ML-DL Trainer | Inventor


Madhusudhan Rao

Chief Technology Officer & Oracle Cloud Tech Mentor


Srinivasan Rengarajan

VP & Global Head of Data Science and Analytics

3i Infotech Ltd

Kalyani Govinda Char


Nidhi Technologies

Anoop Nagender

Director - Business Intelligence and Analytics


Renny I John

Practice Leader - Digital Business Strategy

IBM Global Business Services

Harsha Urlam

Data Scientist


Our Pricing

Group of three or more

Rs 5000 + GST

Till August 03
Early Bird

Rs 6000 + GST

Till July 10

Rs 7000 + GST

Till August 03

Our Testimonial


Who can attend Data Visualisation Summit in Bangalore?

All who want to learn from tooling to skilling and from strategies to fundamental values.

And also, If your responsibilities include any of the below, you must attend:

• Predictive Analytics - Business Intelligence
• Data Visualization - Insight
• Data Science - Data Mining
• Software Engineering - Computer Science
• Data Journalism - Storytelling
• UX/UI Design - Graphic Design

Why to attend Data Visualisation Summit in Bangalore?

From tooling to skilling and from strategies to fundamental values what needs to change and how? What are solutions and services available in market which I can leverage? Big Data Visualisation Summit 2017 is an attempt to seek and share answers to these basic questions.

What will you learn about?

Learn latest techniques and skills required for Data Science & Analytics from industry stalwarts themselves. Latest trends, concepts, processes and tools to understand and acknowledge challenges in Data Analytics emerging technologies. Meet and network with fellow Data Science & Analytics experts from leading companies. Learn how to adapt and adopt these changes quickly and swiftly within a team and also across the enterprise.

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.

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