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.
Theme 1 : Data Science
Theme 2 : Analytics
|09:50AM - 10:00AM|| Login / Conference Overview
Atul Srivastava, 1.21 consultant, 1.21GWS
||10:00AM - 10:30AM||Data to insights to decisions in BFSI Click Here for More Info
Mahsa Zameni, Senior Data scientist, NAB (National Australia Bank)
||10:30AM - 11:00AM||Data science ethics, bias and best practicesClick Here for More Info
Pankaj Gabale, Data Scientist, EY Analytics
||11:00AM - 11:30AM||Text Analytics: How to Bridge Gap Between Business-Customer Communication? Click Here for More Info
Amin Sadri, Senior Data Scientist, ANZ Bank
||11:30AM - 12:00PM||Using ML and AI for customers digital growth and retention in TelecomClick Here for More Info
Nikola Sucevic, SVP Data Analytics, PT Smartfren Telecom
||12:00PM - 12:30PM||Break|
||12:30PM - 01:00PM||Estimating minimum viable machine learning model performance. Click Here for More Info
John Hawkins, Data Scientist.
||01:00PM - 01:30PM||How to deliver actionable insights through data storytelling - Click Here for More Info
Satya Upadhyaya, Vice President Campaign Optimisation Marketing Capability & Change Citibank Australia
||01:30PM - 02:00PM||Strategic Considerations in AI/ML - Click Here for More Info
Vikram Pandya, Director FinTech, SP Jain School of Global Management.
||02:00PM - 02:30PM||Secure multiparty Machine Learning with Azure Confidential Computing Click Here for More Info
Stefano Tempesta, Azure Confidential Computing, Microsoft
|02:30PM - 03:00PM||Break|
||03:00PM - 03:30PM||Automating the Analytics Data Layer - Click Here for More Info
Pragati Sharma, Senior Consultant, ThoughtWorks
||03:30PM - 04:00PM||Industry 4.0- Digital Twin and it's applicationsClick Here for More Info
Hitesh Hinduja, Lead Data Scientist, Ola Electric Mobility
||04:00PM - 04:30PM||How to modernize Data Governance to help organizations compete in the knowledge economyClick Here for More Info
Maritza Curry, Head of Data, RCS Group
||04:30PM - 05:00PM||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
Till 12 February, 2021
Till 19 March, 2021
Till 19 March, 2021
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
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.
Who can attend Data Lake and Analytics Online Summit ?
- Software developers, Tech lead, QA Testers, Automation engineer
- IT support engineer, IT Operations person, Build and Release Engineer
- Architect, Engineering Managers
- Big Data engineer, Big Data professional
Why to attend Data Lake and Analytics Online Summit ?
- Access to Full-day event
- Talks by industry experts on different aspects of DevOps, Microservices and Container
- Overview of frameworks and tools that you can adopt
- Networking opportunities with other passionate professionals from your city
What will you learn about?
Learn latest techniques and skills required for Big Data from industry stalwarts themselves. Latest trends, concepts, processes and tools to understand and acknowledge challenges in Big Data, Microservices and Containers. Meet and network with fellow DevOps 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?
Best practices while attending online conference:
Login to your system with the login detail 10 minutes prior to the start time
Should be connected to a good network to avoid interruptions.
Should be at a quiet place while taking your session.
Ensure all other windows are closed and no application is running. This will ensure good audio and video quality
Mute yourself if not expected to speak
Do ask the question via chat box to keep the session lively. You can Ask questions
Do I need to register for the event?
Yes, all conference attendees must register in advance to attend the event.