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    Industry Expert Panelists

    Moderator

    Expert talk speaker

    Amardeep Bhagat (Tiger Analytics): Market Lead – Data, AI & Analytics

    Technology executive with 20+ years of experience in data, AI, and analytics across various industries. Specializes in data modernization, analytics strategy, and intelligent solutions to drive business outcomes. Skilled in strategic leadership, solution architecture, product design, and building high-performing, collaborative teams.

    Our Speakers

    Expert talk speaker

    Gopala Raju (Databricks): Governance Product Specialist at Databricks – Data & AI

    Gopala Raju is a technology professional with over 11 years of experience in Java and .Net application development, specializing in Big Data technologies. An MSBA graduate from NUS, Gopala excels in data analysis, statistical modeling, and machine learning.

    Expert talk speaker

    Vishal Puri (Tiger Analytics): VP, Data and AI Solutions Group

    Vishal heads the Tiger Analytics Data and AI Solutions practice that enables our strategic clients to adopt innovative cloud-based open IP, reference architectures, frameworks, and methods to help accelerate their transformation journeys toward creating foundational and analytical data products. In his 25-year career, Vishal played various technology leadership roles across Wells Fargo, IBM, and Infosys, delivering digital and data-driven transformations.

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    Expert Talk Synopsis

    “Data Expert Talk” is on Empowering Data Driven Businesses with Unity Catalog. Experts from Tiger Analytics and Databricks discuss Unity Catalog and its benefits.

    The session is moderated by Amardeep Bhagat, Market Lead – Data, AI & Analytics at Tiger Analytics, and speakers Gopala Raju, Governance Product Specialist at Databricks, and Vishal Puri, VP, Data and AI Solutions at Tiger Analytics.

    Key Highlights

    • Challenges in Implementing End-to-End Governance: Organizations struggle with the complexity of cloud data ecosystems, AI integration issues, and lack of standardized frameworks.
    • Governance Challenges and Expectations from Databricks: Ensuring data privacy, streamlining compliance, and robust data lineage and audit capabilities.
    • Approaches to Data Democratization: Promoting data reuse, user-friendly access tools, and a data-driven culture.
    • Unity Catalog’s Vision for Data Quality Controls: Clear data quality metrics, automated validation, and continuous monitoring.
    • Core Building Blocks for Effective Governance: Comprehensive cataloging, strong security, and integrated data lineage.
    • Unity Catalog’s Role in Governance: Centralizing policies, optimizing costs, and enhancing transparency.

    Click here to learn more about Tiger Analytics – Databricks Partnership.

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