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Data Lakes to Real-Time Analysis: A New Approach with Knowi Ft. Jay Gopalakrishnan
Manage episode 423227022 series 3482425
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In this insightful episode of Data Strategy Guru's, host Yves Mulkers talks with Jay Gopalakrishnan from Knowi.com.
They delve into a comprehensive dialogue on leveraging Slack and Teams for efficient data interaction, setting up datasets as business entities, and the prowess of using large language models for digital transformation.
They further discuss the challenge of unifying structured and unstructured data, and the crucial concept of data strategy involving runtime queries and database write functionality. Complex, detailed, and insightful, this conversation will challenge your understanding of data strategy in the modern digital landscape.
Jay Gopalakrishnan is the brain behind Knowi.com, a leading data analytics platform. His journey began back in 2014 when he was serving as head of product engineering at chemical demand force.
Dealing with 19 different data silos, Jay was faced with the challenge of providing a unified view of disparate data sources for the purpose of creating embedded analytics products for clients.
The prevalent market advice was to centralize the data, perform transformation and then analysis, a process that would consume tremendous resources and time. Displeased with this proposition, Jay saw an opportunity to create a more effective, efficient solution, leading to the inception of Knowi.com.
Years later, Jay's innovative vision still holds relevant in the ever-evolving data landscape.
[00:00] Knowi founded in 2014, faced data challenges.
[03:41] Data set as a service: virtualization and control.
[07:03] Flexibility in moving and querying your data.
[12:17] Creating, validating, querying, transforming, securing data sets.
[14:55] Custom alerts, transformations, reports, machine learning, actions.
[19:36] Developing mechanism to ingest, merge structured data.
[22:02] NLP used for specific data set queries.
[27:30] AI tool simplifies creating, understanding database queries.
[28:33] Enhance, merge, and analyze data set efficiently.
[34:30] Specify date format, setup analytics, visualize data.
[36:50] Creating dashboards, insights using AI from data.
[39:17] LLMs predict next word, but have limitations.
[43:21] Logging columns, air tables, data preservation, forecasting limitations.
[46:36] Slack and Teams integration for company operations.
[51:26] Exploring digital transformation, privacy, and language models.
[53:30] Summarizing complex PDF content without thorough reading.
[56:36] Exploring LLM and LangChain for language models.
► Read the full article here:
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I'm Yves Mulkers, a Data strategist, specialised in Data Integration. I have a wide focus and domain expertise on All Things Data . My skillset ranges from the Bits and Bytes up to the strategic level on how to be competitive with Data and how to optimise business processes.
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