The data economy continues to grow. But its pace is stifled by the barriers built into legacy and cloud solutions that silo data across enterprises. The Data Cloud brings organizations and their data together so the true potential of the data economy can emerge.
In today's digital age, Financial services firms are under pressure to meet shifting regulatory requirements, scale digital platforms, and innovate against emerging competitors, all while navigating an increasingly complex data landscape.
Deep dive into the rise of data cloud and how it is transforming the financial services sector. The discussion highlights how Snowflake is enabling financial firms like National Stock Exchange to thrive in a data-intensive, highly regulated, and competitive environment with the help of Its platform capabilities, tailored solutions and partner ecosystem, and the growing amount of financially-relevant data that is natively available in Snowflake's Data Cloud.
Group Chief Technology & Operations Officer, National Stock Exchange
Managing Director, Snowflake, India
The speakers will discuss the difficulties facing data analytics executives as they create tomorrow's adaptive and inventive enterprises. The best practises and road map for preparing enterprises for the new data-driven era will be thoroughly examined. Get involved in the points such as Top trends in data engineering for 2023, How companies’ infrastructure can be transformed to support the data-driven future, Driving Transformation Through Data-Driven Decision-Making, Challenges and obstacles that enterprises face and much more..
CTO, HDFC Ergo
Mahindra Group / Mahindra Finance, CTO, Mahindra Finance
CTO, Reliance Retail
Global Head Business Transformation & CDO, Godrej Consumer Products
Managing Director, Snowflake India
In conversation with Shiv Kumar Bhasin, Group Chief Technology and Operations Officer at the National Stock Exchange (NSE), and Vimal Venkatram, MD at Snowflake India.
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Forbes India presents 'reimagining enterprises with data cloud' in partnership with Snowflake
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