Dec 06
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Overview of the event

Data lakes are storage repositories with an analytics and action purpose. You can see a data lake indeed a bit like a lake, without the swans and the water. ... But you get the idea: a big data lake in essence is a storage repository containing loads of data in their raw, native format. Data lakes typically require much larger storage capacity than data warehouses.Data lakes are next-generation hybrid data management solutions that can meet big data challenges and drive new levels of real-time analytics.

Data lakes can help break down silos, enabling organizations to gain 360-degree views of information and conduct cross-department, office or regional analytics. They also enable adoption of modern technologies such as artificial intelligence (AI) and the Internet of Things.

At Big Data Lake Summit, Hyderabad will bring together industry professionals and thought leaders from the field of Data Visualisation and Data Analytics to address the big data, data analytics etc questions and share best-practices in both a business-focused perspective and in a technical perspective. 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
50 Tickets

Conference Schedule

Data Lake & Analytics Day, Bangalore
X Topic Abstract

Data Visualization sits at the core of delivering effective, insightful and actionable business analytics. Telling clear, insightful and actionable data stories is the key need of today’s business Analytic era. With data storytelling methodology, you can share engaging and compelling data stories with the aid of fundamental data visualization principles. This methodology will empower you to improve your message and business workflows in the most productive way. Attend this session to gain a new perspective on business analytics.

Attend this session to understand:
• The importance of context, key themes and the target audience in data storytelling
• How to determine the most effective visualization to communicate a message to your intended audience
• How to recognize and eliminate visual clutter and direct your target audience’s attention to the most important parts of your data story
• How Advanced Analytics, or Next-Gen functionality, such as ‘Predictive Analysis,’ ‘What -if Analysis,’ ‘Natural Language Generation (NLG),’ and ‘Sentiment Analysis’ can take your analytics to the next level

Speaker profile

Shantanu Dixit is a Visual Analytics COE head at InfoCepts. In this role, he has established a dedicated team which works as Centre of excellence which enables business users to make informed decisions quickly by representing complex, multidimensional data in a visually appealing format. He heads a team of Data Visualization experts which provides data Visualization services for creating various Business Analytics platforms. He is Spearheading the Visual Analytics Solutions and have been associated with Customer projects from various domains across the globe in Banking, Retail, Telecom, Life Sciences across in proposing and providing end-to-end innovative Data Visualization Solutions. His philosophy in this field is to enable data to show its visual rhythm, tell compelling stories, reflect business-critical insights, and to be intuitively understood by users. Shantanu has a bachelor’s degree Fine Arts from India. He has broad experience working with Fortune 500 companies. Prior entering into a Data Visualization and Business Analytics field, he was part of R&D industrial design department in world’s largest home appliance company.

X Topic Abstract

Data lakes Implementation and data management challenges.
• Review the state-of-the-art in data management for data lakes. We consider how data lakes facilitates solutions to classic problems including data extraction, data cleaning, data integration, and data versioning.
• The technology landscape and data lake Strategy (Hybrid Data Lake).
• Focus on the exciting new challenges that data lakes are inspiring.
• Deriving data insights and Machine learning for Executive decision making and strategic direction.
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Speaker Profile

An accomplished result-oriented AWS Solution Architect and Enterprise BI Analyst with over 15 yrs. of demonstrated experience in driving end to end implementation and timely delivery of high revenue projects of worth $1M-3M across domains. A proven technology manager with expertise in cross-functional ERP implementations, delivery of high-impact data-driven business analytics integrated solution, product design, cyber security risk reporting, master data management, data cleansing & SOA Integrations.

X Topic Abstract

Enterprise Data Lake ( EDL ) plays a very important role to store vital information about business covering product, services and customers and enables analytics using actionable insights. This session will cover new and emerging trends to build large scale, robust data lake, technology options available to enterprise data architects and new tools and techniques for the engineering and data science communities to leverage data out of them.

X Topic Abstract

Organizations are witnessing the dawn of the data-driven, AI, and regulatory era. The data-driven and digital transformation of organizations is occurring at a rapid pace in order to stay relevant and pave the way to a sustainable future. The consolidation of an organization’s data into a governed, trusted, and well-managed environment that supports both analytics development and production workloads is playing a crucial role in this transformation. Organizations want to take advantage of AI, but they need a trusted foundation and access to the data. Our mission is to deliver a trusted, enterprise-wide, data and AI backbone for transforming IBM into an AI Enterprise. This is helping to accelerate the infusion of data and AI in business processes and provide a fertile environment for identifying, building and deploying AI solutions. The resulting benefits to business are reduced time to find and consume data, reduced time to implement initiatives across business units, reduced end-to-end cycle time, and delivering insights that were previously impossible.,

Speaker profile

Ranjan Sinha is the Vice President of Data Platform Engineering & DevOps at IBM Chief Data Office. He is a digital transformational leader and innovator in data platforms, data engineering, and data science with a strong track record of accomplishments leading projects in both industry and academia. He is a seasoned technical leader building high performance, large-scale internet and enterprise platforms and solutions from inception to production.He has led multiple business impacting projects across several domains, including enterprise data lake, AI services, recommendations, personalization, infrastructure availability, real-time security, and identity linking. He was a research academic at the University of Melbourne and holds a PhD in computer science from RMIT University. He has published over 30 refereed works, won the sort benchmark for JouleSort and PennySort, and was amongst Wall Street Journal’s top-12 Asia-Pacific young inventors. He frequently speaks on data platform, data sciences, scaling analytics, and enterprise transformation.

X Topic Abstract

Rapid digitalization across industries today has led to a massive explosion of data volumes. Years’ worth of data in the last decade is now being generated in the matter of a few hours, and organizations are doing reasonably well to capture and store this data. There are sophisticated BI tools that help in converting data into meaningful information, but what they enable is a post-occurrence analysis of data - and at the volumes and velocity at which data is generated today, this is just not enough. Conventional methods based on a reactive approach of responding to alarms triggered by static thresholds fail to suffice the needs of modern day organizations. Organizations need is a solution that can automatically look through billions of records, identify unusual patterns, intelligently correlate these patterns with their context of occurrence, and flag outliers that can cause business impact – all in real-time. Attend this session to understand the application of Artificial Intelligence, Machine Learning and Deep Learning techniques to interpret the available data and derive meaningful and thematic insights from it that can be applied to multiple use cases thereby enabling self-served acceleration of business outcomes.

Speaker profile

Shashank is Data Sciences leader with diverse experience across verticals including CPG, Retail, Hitech and E-commerce domains. He is currently heading the advanced analytics and data sciences practice of CruchMetrics and Subex. In the past, he has worked in VMware, Amazon, Flipkart and Target and has been involved in solving various complex business problems using Machine Learning and Data Sciences. He has been part of the program committee of several international conferences like ICDM and MLDM and was selected as a mentor in Global Datathon 2018 organized by Data Sciences Society. He has multiple publications in the field of data sciences, machine learning, deep learning and image recognition in several international journals of repute to his credit. He has also published two open source libraries on Python and is an active contributor to the global Python community.

X Topic Abstract

Operationalization of Machine Learning models to production remains a challenge in the industry. This session aims to provide an approach to operationalize machine learning model as a REST API. The solution involves deployment of Python code as rest API to be consumed from any application. Application could be based on Azure function, .Net application , Logic apps etc. Also it is different from azure machine learning services because it gives us freedom to configure AKS cluster and nodes based on the requirement. Docker image libraries, configuration, app route, are configurable.



Speaker Profile

Data and AI consultant having strong experience in developing and architect enterprise solutions using Microsoft and Open Source products and Services.

Our Sponsors


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Our Speakers


Nagaraju Kendyala

Enterprise/Cloud Solution Architect

Enterprise/Cloud Solution Architect


Ajit Kumar Thakur

consultant II(Data and AI)

Microsoft


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Our Pricing

Group of three or more(Early Bird)

Rs 7,500 + GST

Till Septmeber 30
Group of three or more(Standard)

Rs 8,000 + GST

Till December 06
Individual(Early Bird)

Rs 9,000 + GST

Till November 07
Individual (Standard)

Rs 10,000 + GST

Till December 06


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Our Testimonial

FAQs

Who can attend Data Lake & Analytics Day in Hyderabad?

CEOs, NGOs, developers, and anyone passionate about an accessible, game-changing technologies, modern business, including executives, inventors, strategies, marketers, visionaries, and creative minds from technology, business, and design, technical leads, architects, engineering directors, and project managers who influence innovation in their teams, all who want to learn from tooling to skilling and from strategies to fundamental values. Anyone working with data management, big data, analytics and business intelligence projects either on the business side or the technical side will benefit from attending this conference. 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 Lake & Analytics Day in Hyderabad?

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 Visualization Day 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?

No

Do I need to register for the event?

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