SNA Alumni Event 2023
When – October 18th, 2023
Time – 10am-12pm EST
- Data Future Proofing
- Data Science and Analytics
Data Future Proofing:
“Data Future Proofing” is a new paradigm to the world and it is a vast subject. In terms of data, ‘future proofing’ has a definition now.
All data of an enterprise might not be relevant for that enterprise 10-20 or 50 years down the line.
Next gen business is all about Data. All cognitive activities (including cognitive science) revolve around the data you accumulate. More the data better and fool proof the cognitive output it produces. Whether it is healthcare related data or insurance data. Aviation data, environmental or weather data. Social, socio economic data or behavioural data. Geographical, political or geopolitical data. Space data or the research data of any field of study. More past data or the proven historical data can help in better future findings. Because, “Data is the New Gold”.
But biggest and most important question here is “Which Data” that need to be preserved/accumulated/stored/saved for future usage purpose. Till now while creating a data warehouse or data lake, we were thinking of a data storage for next few years. It was never considered for decades or centuries. Here we are going to consider the importance of data till eternity that can be passed from generation to generation.
Stay tuned for the detailed discussion on this topic
About Ranjeet Srivastava:
Ranjeet is a Chief Architect, Author, Adjunct faculty to a few national and international Universities and a Scientist. He is Ex Oracle, GE and CRIS etc. Co-authored 5 books in 4 international languages. He has done a few inventions and owns 4 IPs in his name, in the area of cloud based modern data platform and microservices architecture design principles. Invested more than two decades in Enterprise Architecture, Data Management, Data Science, Data Engineering, and Product Engineering, while designing and developing large-scale cutting-edge enterprise products as well as data-intensive enterprise applications. Ranjeet loves interacting with young minds and give back to the data community. He can be connected through LinkedIn – https://www.linkedin.com/in/ranjeetsrivastava/
Data Science and Analytics
Data is a powerful asset for any enterprise as an integral part of doing business to make strategic decisions. Last few years various enterprises started adopting digital technologies and started programs to implement solutions that can collect and process high volumes of data from all available sources to stay connected to the customer. Though Data science and Data Analytics are two different disciplines, this presentation will showcase how they are becoming ONE to achieve a common goal of gaining insights in the data and delivering value to the customer.
About Lalith Kumar:
Lalith Kumar is a Principal Engineer from Sonicwall Inc, Responsible for leading BI/DWH strategy and Service analytics driving business towards faster and accurate decisions. Graduate from Texas A&M university and Patent holder in the field of network threat analysis and visualization. Lalith implemented DWH&BI using various technologies bringing in 15 million value to the business over 6 years in the areas of Threat intelligence, infrastructure management, Supply chain management, Procurement, HRM, Customer success strategy/Management, Finance and Accounting.