Name: 2nd Annual Big Data Virtual Masterclass Conference (Time Zone - EST)
Start: 2021-07-22
End: 2021-07-23

EVENT OVERVIEW

Identifying How Big Data is impacting Decision Making in the BFSI Industry

With an increasing amount of data, it has become vital for organizations to incorporate Big Data Analytics into their business processes. The continuous evolution Big Data Tools & Technologies has led to increase in its presence in day-to-day operations of several industries. The market holds enormous number of opportunities as well as challenges and it has become essential to keep track of these and incorporate them into our data strategy. The event focuses on Addressing the data quality issues, Big Data architectures to be incorporated for efficient and effective processes, Tools & Technologies that is uplifting the market and building an effective Testing Environment.

After the success of our first edition, we are proud to present to you the ‘2nd Annual Big Data Master Class Virtual Conference’ which is scheduled to take place on 22nd-23rd July 2021. The conference will extend the opportunity to explore the technological advances and innovations in the field of Big Data, Artificial Intelligence, Data Science and its applications.

Addressing the Data Quality issues hampering the processes of model building
Big Data Analytics in Banking for Decision Making
Data Management using Data Warehouses
Risk arising due to large volumes of Data in the BFSI sector
Different types of tools used for AI and Big Data
Developing a strategic and stable Cloud Computing Architecture
Accelerating business value through Data-driven transformation
Effectively using Artificial Intelligence, Machine Learning and Cloud

We welcome C-level decision makers, Directors, VP, Manager, Heads, and other professionals from the below departments:

Big Data Analytics
Data Science
Digital Transformation
IT & Technology
Business Intelligence
Data Warehouse
Data Architecture
Strategy Development

Identify emerging trends in research and innovation in Big Data
Apply an efficient and effective architecture for data processing and testing
Gain competitive edge by incorporating innovation in data strategies
Learn about the major Tools and its applications for Big Data, AI and ML
Understand how cloud can provide a platform for data processing
Identify the use of Big Data Tools in an organization
Incorporate AI, ML, Analytics into your business processes
Discuss transformation of business through Big Data

CONFERENCE AGENDA

Opening note by MarketsandMarkets	09:50 - 09:55
Opening remarks by Chairman	09:55 - 10:00
Master Class 1: Demystifying Data Science and the Technology behind it Scott Cohanpour, Chief Data and Technology Officer, GE Capital	10:00 - 10:30
Master Class 2: Beyond the Code: Key aspects of organizational data maturity Steve Ennen, Director Marketing Analytics & Translation, West Pharmaceutical Services	10:30 - 11:00
Master Class 3: Real-time Big Data analytics and ML using Logical Data Fabric Ravi Shankar, Senior Vice President and Chief Marketing Officer, Denodo	11:00 - 11:30
Master Class 4: Addressing Trends in Cyber Security because of COVID19 using AI Upendra Mardikar, Chief Security Officer , Snap Finance	11:30 - 12:00
Closing Remarks by Chairperson	12:00 - 12:05
Networking and End of Day 1	12:05 - 12:05

Opening note by MarketsandMarkets	09:50 - 09:55
Opening remarks by Chairman	09:55 - 10:00
Master Class 1: Big Data Architecture and Data Management using Data Warehouses Reet Padda, Head of Data Engineering, TD	10:00 - 10:30
Master Class 2: Trusting our Analytics and AI in a World of Biased Big Data Richard Self, Senior Lecturer in Governance of Advanced and Emerging Technologies, University of Derby	10:30 - 11:00
Master Class 3: What is a Data Platform	11:00 - 11:30
Master Class 4: Women in Technology, Gender fairness	11:30 - 12:00
Master Class 5: Secured IoT Interoperability from Sensor to IT Enterprise Mike Clark, Management Consultant, OPC Foundation	12:00 - 12:30
Closing Remarks by Chairperson	12:30 - 12:35
Networking and End of Day 2	12:35 - 12:35