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Yourstory
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Experts weigh in on bringing scale and agility to complex data landscape
- Companies face the challenge of creating a comprehensive and agile data strategy that can have a long-term impact. Business data is being collected from various sources, and the effective use of this data is presenting a challenge to businesses. Integrating diverse data sources is difficult and achieving this goal is still uncertain. A round table discussion that focused on integrating data, AI, and applications for long-term success was organised in association with Snowflake and YourStory. The keynote speaker was Pravin Fernandes of Snowflake, India.
- Many challenges were shared, including issues of data and integration which Mrinal Rai of Intugine Technologies discussed. He identified a single platform to show clients where shipments are located and if there are any delays or halts that can impact sales and deliveries. Rohit Nambiar of CloudSEK noted that his company deals with cyber threats and handles data from all over the world.
- Pramod Agarwal of IBSFINtech stated that although scaling data is not a significant challenge, data variability continues to be a challenge. Different financial instruments generate various data structures, and unstructured data remains the most significant challenge for the organisation.
- The experts discussed the need for smaller language models (SLMs) to reduce the cost of operating large language models (LLMs) in AI. Rajat Dwivedi of Plivo spoke extensively about LLMs and advised companies to be specific about their problem statements and decide whether LLMs or other data handling pipelines work best for solving the problem effectively.
- Data protection and security continue to be a complex exercise as enterprises store and create vast amounts of data for analysis. Rohit Nambiar of CloudSEK emphasised the need to ensure efficient data privacy and security, and Praveen Fernandes of Snowflake advised companies to create unique data integration strategies, emphasising agility to handle various stages of data maturity or failure.
- Venkata Rao of Needl.ai advised companies to choose data strategies with care when scaling up, ensuring that scaling horizontally helps deal with growing trends and data. Prakash Jothirmalingam of LeadSquared noted that scale is a continuous process, and expectations of products may change as businesses take different journeys.
- The round table was moderated by Shivani Muthanna of YourStory Media, with other experts in attendance, including Rajat Dwivedi, Director of Engineering at Plivo, Pramod Agarwal, CTO of IBSFINtech, and Pradeep Sreeram, Head of Engineering at gnani.ai.
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