That's a wrap! Thank you to all those who attended Enterprise Data Summit 2023! Click here to watch the 2023 sessions on demand.


A day dedicated to

large-scale data systems

and the future of

data leadership

June 7, 2023 | Live Virtual Event


Enterprise Data Summit 2023 Speakers


John Steinmetz

VP of Data & Analytics


George Mathew

Managing Director


Eric Gonzalez

VP, Business Intelligence Architecture


Rohit Choudhary

Founder & CEO


Veronika Durgin

VP of Data


Keyur Desai

Former Chief Data Officer


Deepak Jose

Global Head of ODDA Analytics Solutions, Senior Director


Sandeep Uttamchandani, Ph.D.

VP, Analytics, AI & Data


Vishnu Ram Venkataraman

Vice President, Data Science & Engineering


Akash Garg



Vikas Ranjan

Senior Leader, Data Intelligence & Innovation


Abhishek Choudhary

Senior Staff Data Engineer


Jazmia Henry

Senior Applied AI Engineer, Industrial Metaverse Core


Dale McDiarmid

Product Engineer


Kash Mehdi

Vice President of Growth


Kevin Petrie

Vice President of Research


Mark Freeman II



Chad Sanderson

Chief Operator


Pushpa Ramachandran

General Manager & Head - Strategy, Alliances, Platforms & Solutions


Matthew Housley



Enterprise Data Summit 2023 | Official Agenda | Watch Now On Demand

Morning Keynote: Data management and analytics market trends: Rosy or cautiously optimistic?

George Mathew, Managing Director @ Insight Partners

Rohit Choudhary, Founder & CEO @ Acceldata

As a venture capitalist at the forefront of technology investments, George has been closely observing the dynamics of this market and identifying key trends that are shaping its future.

In this keynote address, George will share insights into the latest data management and analytics market trends that every business leader and technologist should be aware of.

From the rise of AI and ML in data analytics to the increasing adoption of cloud-based data management solutions, George will delve into the transformative forces that are driving the evolution of the market.

Panel Discussion: How are data leaders navigating right now

Eric Gonzalez, VP, Business Intelligence Architecture @ Eastern Bank

Keyur Desai, Former Chief Data Officer @ Ameritrade

John Steinmetz, VP of Data & Analytics @ Shiftkey

Join three data leaders as they discuss the current state of data leadership with a strategic focus on managing through uncertainty, resource allocation for human capital and budgets, and advocating for the further empowerment of the data function throughout their organizations.

Session: Optimizing time to value with a "lego style" data team

Veronika Durgin, VP of Data @ Saks Fifth Avenue

“Lego style” data teams, with their modular structure, can be capable of adapting to challenges faster, can facilitate quick feedback cycles, and better utilize individual skill sets to realize a shorter time to value.

Veronika joins us to discuss her strategy for optimizing time to value with a “lego style” team and how to unlock their true potential.

Session: Supercharging decision making at scale

Deepak Jose, Global Head of ODDA Analytics Solutions, Senior Director @ Mars

While data features are essential for uncovering insights, data products provide tangible value to stakeholders in the form of actionable reports or usable tools.

Deepak's session explores how creating and implementing data products effectively drives business value and improves stakeholder satisfaction. He'll share his perspective on how data products are both more easily monetized and more accessible to non-technical requestors, democratizing data and making it easier to use and understand.

Session: Addressing productivity black holes for data analytics and AI teams

Sandeep Uttamchandani, Ph.D., VP, Analytics, AI & Data @ Intuit

Data can only be the new oil if it can fuel better and faster data-driven insights and models that drive business value and transformation. There are several bottlenecks today that slow down Data Analytics and AI teams.

In this talk, Sandeep, a seasoned leader with more than two decades of experience leading data, analytics, and AI teams, will discuss his perspective on the productivity black holes that limit Data Analytics and AI teams, and how to address them by thinking holistically across people, process, technology, data, and mindset levers.

Session: Do I need an ML-specific database in my modern data stack?

Dale McDiarmid, Product Engineer @ ClickHouse

Are you exploring leveraging advancements in AI like ChatGPT and other LLMs? Are you trying to work out how to fit them into your existing architecture, or wondering where to start?
In this session, we explore vectors, how they relate to LLMs like ChatGPT, and how they're used to power AI functionality in everyday applications. We cover the rise of vector databases, when they're needed, and when they aren't.

You'll leave the session with a buyer's guide to the decision process, and hopefully answer the question: "Do I need a vector database?"

All without asking ChatGPT.

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.

Session: How T-Mobile implemented data observability with their platform modernization

Vikas Ranjan, Senior Leader, Data Intelligence & Innovation @ T-Mobile

Vikas joins us to share how T-Mobile has developed a comprehensive strategy for data platform modernization and general engineering best practices from a Tier-1 telecommunication provider.

He will walk through his perspective on how to de-risk data platform migrations and accelerate migration initiatives. Attendees of this session will learn how data observability has helped throughout the modernization journey from a legacy ecosystem to an open source and cloud native platforms such as Databricks and Snowflake.

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.

Session: Generating engineering code using GPT: realistic or not quite ready?

Abhishek Choudhary, Senior Staff Data Engineer @ Bayer

Rapidly gaining adoption, data engineering teams are starting to explore GPT as a viable option for generating engineering code. Join Abhishek as he walks through this potentially valuable GPT use case, how he's approaching this currently, and the resulting impacts it can make for data teams.

Session: Top ten problems to solve with data observability

Kevin Petrie, Vice President of Research @ Eckerson Group

The emerging discipline of data observability optimizes data quality and pipeline performance by using techniques adapted from governance and application performance tools. This session explores ten common use cases for data observability, including the business and technical problems they solve. Together they enable enterprises to prepare, operate, and adjust data delivery across complex modern environments.


Session: Ensure cloud data platform migration success using data observability

Pushpa Ramachandran, General Manager & Head - Strategy, Alliances, Platforms & Solutions @ Wipro

Modernizing data platforms to address issues with scalability and performance, security, growing cost, reliability of data, and support for advanced analytics and AI workloads has become a multi-phase, multi-year journey.

Data observability has emerged as a more effective way to help modernize data platforms away from Hadoop/proprietary Cloudera ecosystem to an open source platform or to cloud native platforms such as Snowflake, Databricks, and Redshift.

In Pushpa's talk, you will see how data observability addresses key modernization challenges:

  • De-risking data platform migrations with data reconciliation and pipeline performance
  • Automating, data validation, and troubleshooting data and performance issues
  • Avoiding unexpected overruns and determining optimal workload placement
Panel Discussion: Emerging architectures in the enterprise

Mark Freeman II, Founder @ On the Mark Data

Chad Sanderson, Chief Operator @ Data Quality Camp

Matthew Housley, CTO @ Ternary Data

Jazmia Henry, Senior Applied AI Engineer, Industrial Metaverse Core @ Microsoft

Where & when?

Enterprise Data Summit 2023 took place virtually on June 7th, 2023.

What is the cost to attend the virtual sessions?

EDS 2023 is always free and open for all to attend.

What is Enterprise Data Summit?

Data initiatives and priorities are often affected by resources, organizational structure, and data maturity, all of which can be different inside an enterprise-sized company or for teams processing data at scale.

Enterprise Data Summit is an annual day where leaders from large companies looking to succeed with large-scale data systems can explore ways to modernize their data platforms, enable engineering best practices, allocate resources efficiently, and wrangle topics like data observability.

Who comes to EDS?

Data, analytics, AI, data science, and other team and department leadership, engineers and administrators, FinOps, and risk/compliance officers.

Join us for talks that include:
  • Guiding enterprise-level data teams
  • Modernizing data platforms
  • Cloud financial management
  • Succeeding with large-scale data systems
  • Data reliability
  • Resource allocation
  • Use cases for data observability
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Thank you to our 2023 sponsors who made Enterprise Data Summit possible