Session: Unleashing data's strategic force: A guide to masterful data management

Kash Mehdi, Vice President of Growth @ DataGalaxy

Join Kash Mehdi as we unlock the strategic force of data management and navigate the evolving role of Chief Data Officers (CDOs). Discover the secrets of managing data as a strategic asset, explore challenges, and learn practical solutions for sustainable data management practices.

Experience the transformation of CDOs, measured by business-oriented metrics driving innovation and data-driven initiatives. Delve into survey results from esteemed Chief Data Officers, highlighting the rise of data as an asset and the importance of data authority.

Uncover the challenges impacting CDO success and explore captivating use cases and real-world success stories. Witness the impact of data management in SwissLife's customer journey.

Unlock key tenets for establishing enterprise data initiatives, maximizing data value, and empowering CDOs to lead transformations.

Join Kash Mehdi on this journey to unleash data's strategic force. Gain insights and become a master of data management.

Interested in more insights from DataGalaxy?

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EDS is always free and open for all to attend.

What is Enterprise Data Summit?

Enterprise data teams are moving from dashboards and reports to powering AI agents, real time decisions, and mission critical products. At large scale, that work is shaped by platform choices, governance, cost pressure, and the realities of operating complex data systems inside large organizations.

Enterprise Data Summit is a focused day for leaders who are modernizing AI ready data platforms. It is where enterprise data engineers, platform and analytics leaders, AI and ML teams, and partners in finance, risk, and security compare notes on how to ship reliable data and AI systems at scale.

Who comes to EDS?
  • Data and analytics engineering

  • Data platform and architecture

  • AI, ML, and LLM platforms

  • FinOps and cloud cost management

  • Data governance, security, and risk or compliance

Join us for talks that include:
  • Designing AI and agent ready data platforms, including lakehouse, streaming, and vector or retrieval layers

  • Using generative AI to accelerate data work while keeping quality, lineage, and controls in place

  • Data and AI governance as the control plane for trust, access, and regulatory compliance

  • FinOps for data and AI, including unit economics, chargeback models, and practical cost controls

  • Operating models for enterprise data teams, from platform teams to data products and self service

  • Data and AI reliability and observability in production, including real incidents and lessons learned

  • Hybrid and multi cloud data strategies, sovereignty, and regionalization in regulated environments

  • Moving from AI pilots to an enterprise AI platform backed by durable data foundations

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