Fireside Chat: Looking ahead: What will be expected from data leaders by 2025

Vishnu Ram Venkataraman, Vice President, Data Science & Engineering @ Credit Karma

Akash Garg, Advisor @ Electric Capital

This fireside chat explores the changing role of data leadership over the next two years and what additional expectations will be placed on data leaders as they seek to empower their teams and maximize the impact of data throughout the organization.

Hear insights from Akash and Vishnu on essential skills and qualities such as the ability to effectively communicate with stakeholders, build and manage diverse teams, and drive a culture of data-driven decision-making, as well as the importance of creating a strong data infrastructure and governance framework to ensure that data teams are able to meet the company's data goals.

What is the cost to attend the virtual sessions?

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

Interested in speaking at the next Enterprise Data Summit or supporting the event as a sponsor?

Please submit your talk topic here or reach out to astronaut@solutionmonday.com.

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