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March 19, 2021

Data Lake And Analytics Online Summit - ANZ

Global Online Live Conference






March 19, 2021

Data Lake And Analytics Online Summit - ANZ

Global Online Live Conference






March 19, 2021

Data Lake And Analytics Online Summit - ANZ

Global Online Live Conference




Briefly Know About This 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 Data Lake and Analytics Summit, ANZ 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.

Track 1 : Data Science
Track 2 : Analytics





  • 20+

    Speakers

  • 20+

    Topics

  • 100

    Tickets

  • 02

    Tracks

Conference Schedule (March 19, 2021)

Track 1 : Data Science

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Speaker Profile

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Speaker Profile

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People spend a surprising amount of energy maintaining the status quo. Why? How to prevent it? How to convince them? And what to do if they are right?

Speaker Profile

After 17 years in executive roles (telco, e-tail, finance), he decided to drop management, switch his career and focus only on data science.

X Topic Abstract

1. How to represent facts through data story telling ?
2. How to bring out insights from the data ?
3. How to create actions based on the insights ?

Speaker Profile

Gourav is a seasoned Product Management Leader working in Oracle. His distinguished career spans over 15 years with a proven track record of driving innovations through different Software as a Service and Platform as a Service products. Gourav is an alumnus of Indian Institute of Management, Bangalore and also holds an engineering degree. He has worked extensively in the areas of Blockchain, Data Analytics, Big Data, Artificial Intelligence and Business Intelligence. Gourav comes up with an experience of working with multi billion dollar organisations like British Telecom, Bosch and Oracle. Gourav is a prolific freelance writer in newspapers and a speaker in Machine Learning conferences.

X Topic Abstract

Organizations have to use data and analytics to compete in today’s knowledge economy. At the same time, organizations have to operate in highly regulated industries. This session will explore how organizations can find a balance between using data to compete and managing data as an asset by making three shifts to modernize their Data Governance function.

Speaker Profile

Maritza Curry has worked in data and analytics roles since 2001. She has been focused on helping organizations, both in South Africa and Australia, to formulate and execute their data strategies since 2012 and became Head of Data at financial services company RCS Group in November 2019. BNP Paribas Personal Finance owns the RCS Group and Curry represents RCS within the BNPP PF Chief Data Officer community. In 2020, Corinium selected Curry as one of the Global Top 100 Innovators in Data and Analytics. She has an MBA from the University of Stellenbosch Business School.

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Speaker Profile

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Key takeaways from my session:
Most Enterprise AI use cases still fail to scale and to translate into productive solutions
Organizational change in Enterprise IT towards empowering an AI culture can help
Combining the strength of Data Scientist’s experimental approach with Software Engineering’s DevOps methods can help
Building and maintaining a firm AI Reference Architecture can help

Speaker Profile

Yannick has been working in IT and Data science for over 20 years. From his experience at major companies, software vendors and consulting firms, he has built a broad outlook on solving business problems with innovative technologies. He is convinced that the combined use of Data Science and Machine Learning along with sound software engineering is the new disruptive force for businesses and communities.
After having founded a fintech startup applying data science to combating financial crime, Yannick has joined Capgemini in 2019. He is helping Capgemini's clients to scale AI while basing on sound ethical principles.

schedule 08:45AM - 09:00AM Login / Conference Overview
Nitesh Naveen, Founder, 1.21GWS
speaker
09:00AM - 09:45AM Building a Data Lake for the Enterprise
speaker
09:45AM - 10:30AM Data science and governance
schedule
10:30AM - 11:00AM Break
speaker
11:00AM - 11:45AM Why do senior managers refuse machine learning? Even though they seem to want it?Click Here for More Info
Oleg Vojtisek, Chief AI Officer at 4.house and Data Consultant, Publicis Groupe
speaker
11:45AM - 12:30PM Actionable Insights Through Data Story Telling Click Here for More Info
Gourav Sarkar, Senior Manager, Product Management, Oracle
schedule 12:30PM - 01:30PM Break
speaker
01:30PM - 02:15PM How to modernize Data Governance to help organizations compete in the knowledge economyClick Here for More Info
Maritza Curry, Head of Data, RCS Group
speaker
02:15PM - 03:00PM How being an information generation is driving Big Data and business change
schedule 03:00PM - 03:30PM Break
speaker
03:30PM - 04:15PM Software Architecture Best Practices for Enterprise Artificial Intelligence Click Here for More Info
Yannick Martel, Vice President, Artificial Intelligence & Analytics, Capgemini

Conference Schedule (March 19, 2021)

Track 2- Analytics

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Speaker Profile

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Speaker Profile

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Practical aspects in AI/ML implementation. How various emerging technologies can be effectively integrated with AI/ML to create solution.

Speaker Profile

Vikram is Director FinTech at SP Jain School of Global Management where he has designed Asia’s first interactive classroom led FinTech program featuring Blockchain, API Banking, AI/ML and IoT labs. He has authored several white papers and articles on FinTech domain. He has an extensive experience in banking, financial services, Fintech, consultancy and training domain. He is also associated as a mentor with various FinTech startups and Fintech focused funds across the globe. He is Fintech ambassador for Maharashtra Govt.'s Uday Fintech platform.
He is also heading research arm of Fintech VC Fund Varanium. He has been a successful banker for more than a decade where he has made key contributions in Financial & Investor Strategy, Business Intelligence, Balance-sheet Management and Business Development & Technology Solutions. He has been a visiting faculty at various prestigious global institutes


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Speaker Profile

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Speaker Profile

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Speaker Profile

schedule 08:45AM - 09:00AM Login / Conference Overview
Nitesh Naveen, Founder, 1.21GWS
speaker
09:00AM - 09:45AM Retail Analytics in an Omni-Channel World
speaker
09:45AM - 10:30AM Improving payment success rates with augmented analytics
schedule
10:30AM - 11:00AM Break
speaker
11:00AM - 11:45AM Strategic Considerations in AI/MLClick Here for More Info
Vikram Pandya, Director FinTech, SP Jain School of Global Management - Dubai, Mumbai, Singapore & Sydney
speaker
11:45AM - 12:30PM Data to Insights to Decisions In BFSI
schedule 12:30PM - 01:30PM Break
speaker
01:30PM - 02:15PM Feature Based Opinion Mining
speaker
02:15PM - 03:00PM Industry 4.0 – Pain vs gain. Why everyone should understand this paradigm?
schedule 03:00PM - 03:30PM Break
speaker
03:30PM - 04:15PM Democratization of AI with Augmented Analytics

Ticket Price & Plan

(Per Participant)

EARLY BIRD

AUD 249

Till 19 January, 2021

GROUP OF 3 OR MORE

AUD 299

Till 19 March, 2021

STANDARD PRICE

AUD 399

Till 19 March, 2021

Register Your Attendance At Conference 2021

Any Question? Call: +1 908 444 0221

Our Sponsors

Use this opportunity to improve the visibility of your organization

Instant Sponsorship :


Avail instant sponsorship at just USD 200


Instant Sponsorship Includes :


Branding of your company as Bronze Sponsor - Company's Logo on the event page with cross link to your website.

One delegate pass.

10% discount on registration fee for any more delegate from your organization.

Introduction Via Email.

Full day attendance 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

nitesh@1point21gws.info, naveen@1point21gws.info



Bronze Sponsor



Knowledge Partner



Media Partner



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