Save the Date for the 3rd Annual Summit

Featuring 50+ Enterprise Data Leaders & Top Industry Technologists, the Semantic Layer Summit is a free one-day virtual event. Hear advice and best practices from top data leaders, AI & BI technologists, & industry experts in Enterprise data analytics.


We're glad to have you join the virtual summit in April!

We will share more details & updates via email as we get closer to the event date.

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‘23 Lineup

Who should join

AI, BI, and Data leaders (e.g., Chief Data Officers, data scientists, data literacy, business intelligence, and analytics professionals).

There's a lot to look forward to

Keynote Sessions

Kick off the day with keynote sessions from industry thought leaders and global Enterprises.

Expert Sessions

The 30-minute sessions will span a variety of formats and subjects. From semantic layer basics to best practices, there’s bound to be something for everyone.

Lineup of inspiring speakers

You’ll learn from some of the leading minds in data, AI & BI at Enterprises across industries. Hear directly from the people that pioneered the semantic layer and the leaders that are pushing the space forward.

Interactive opportunities

We see this as a conversation for everyone. Throughout the day, you’ll have the chance to participate, chat with other attendees, and more.

Meaningful connections

Be ready to meet other brilliant minds, exchange ideas, network, and lay the foundations for new, valuable partnerships thanks to our Networking area.

Extra content and recordings

You’ll have access to all recordings after the event is over, so you can go back and rewatch the sessions you didn’t catch live. We’ll also share slides and more.

'23 Agenda

10:30 am
Keynote 1

The Semantic Layer in the Modern Data Stack

Dave Mariani, founder and CTO of AtScale, discusses the evolution of the modern data stack and its impact on organizational capability and analytics maturity with a focus on the role of the semantic layer in capturing value from data infrastructure investments.

Speakers: Dave Mariani
11:00 am
Panel Discussion

Exploring the Semantics of Semantic Layers

This first of a kind panel discussion will feature founder-executives from five different companies working in and around the semantic layer. The group will explore the origins of the semantic layer and discuss how the concept has evolved to become a critical component of the modern data stack.

Speakers: Philip Russom, Ph.D., Nick Handel, Dave Mariani, Artyom Keydunov, Kendall Clark, Justin Borgman
12:00 pm
Fireside Chat

Paving a Road to an Effective Data Mesh

Zhamak Dehghani founded the concept of Data Mesh in 2018 and has since been a leading evangelist for the approach. This fireside chat with Zhamak moderated by AtScale Product Leader, Elif Tutuk, will take a holistic look at the concept of Data Mesh and the strategies (technology and organizational) for pursuing. The will explore how the concept of a semantic layer platform fits (or doesn’t fit) into the Data Mesh model and more broadly how it might support decentralized, domain oriented, analytics innovation.

Speakers: Zhamak Dehghani, Elif Tutuk
12:30 pm
Panel Discussion

A Semantic Layer in Practice: Tales from the Front Line

This panel of data leaders will look at the semantic layer from the perspective of those that have implemented and operated a semantic layer technology approach. The group will discuss key organizational drivers for adopting, where they are in their journey, and the different approaches pursued.

Speakers: Greg Mabrito, Colin Reid, Colin Taggart
1:00 pm
Panel Discussion

How a Semantic Layer supports Data Products and Data Contracts

This panel of thought leaders will discuss cutting edge topics on data product innovation including: How semantic layers or metrics layers support data product innovation, Decentralizing data product innovation, Defining Data Product SLAs, and the role of Data Contracts in scaling a data and analytics program.

Speakers: Sanjeev Mohan, Benn Stancil, Chad Sanderson, Yali Sassoon
1:30 pm
Lightening Talk

Strategies for Silo Busting: Aligning Data Science & BI Teams behind Business Outcomes

One of the primary barriers to delivering more value from data science has been getting actionable AI-generated insights to business users. Leveraging BI infrastructure to disseminate analytics augmented with data science is an enormous opportunity to realize the potential, organizations must break down the many silos separating the two teams.

Speakers: Michalis Konstantoulakis, Lisa Patterson, Rajil Jain
2:00 pm
Panel Discussion

Data & Analytics Governance Strategies for Driving Growth & Preventing Anarchy

Data and analytics governance can be enormously empowering to self service initiatives. Creating the right guardrails without impacting agility is key. This conversation will focus on strategies for implementing governance in a way that supports self service and data product innovation.

Speakers: Ben Taylor, Carly Taylor, Serg Masís
2:30 pm
Panel Discussion

What's hot and what's not: A Survey of Most Promising Concepts poised to Impact Analytics in the next 24 Months

Predictive Analytics, Prescriptive Analytics, Real time inference data and model explainability, Natural Language Analytics. We are in a time of rapid innovation in the analytics space. This panel of experts will discuss some of the hottest topics and offer opinions on what’s hype and what’s for real.

Speakers: Tobias Zwingmann, Ranjith Raghunath, Ling Xiang, Josh Epstein
3:00 pm
Lightening Talk

Speed-of-thought Analytics in the age of Cloud-Scale Data

Lessons from application design show that responsiveness plays a critical role in user experience. Maintaining query performance is equally critical for delivering an analytics user experience that supports decision making. As the size of data grows, it is increasingly difficult to maintain performance while maintaining links to source data assets. This talk will look at modern query acceleration and discuss strategies for overcoming the laws of physics in delivering performant analytics on Petabyte scale data located thousands of miles away.

Speakers: Deepak Jose, Veronika Durgin, Pedro Castillo, Josh Epstein
3:30 pm
Panel Discussion

How a Semantic Layer can support Data Literacy

This group of data leaders will offer perspectives on the topic of data literacy in an age of AI/ML-augmented analytics. They will explore how the semantic layer enables organizations to capture value by both leveraging more sophisticated augmented analytics while making it easier to interact with data.

Speakers: Jenni Wheeler, Spencer Tabbert, Jordan Morrow, Josh Epstein
4:00 pm
Lightening Talk

Fostering a Modern Data Culture: A New Mindset

Data culture is about the beliefs and behaviors that define how an organization ingrains data-driven decision making into their day to day activities. This panel of data leaders will discuss important questions including: How do you nurture a data-driven culture in your organization? How has adoption of AI/ML impacted data culture. How has the modern data stack impacted the skill sets and personas needed to support data culture?

Speakers: Vijay Yadav, Lisa Cutler Farwig, Andrea De Mauro
4:30 pm
Panel Discussion

Crafting a Finops Strategy for Enterprise Analytics Programs

Predictive Analytics, Prescriptive Analytics, The discipline of Finops is being employed by modern cloud-first organizations to take a holistic view of value creation by establishing partnerships between technology, finance, and business teams that encourage innovation while managing costs. The semantic layer has an advantageous position in the modern data stack to bring visibility and control to analytics programs. This panel will discuss this emerging discipline with an eye toward technology architectures that support data-driven management of cloud analytics costs.

Speakers: Mark Stange-Tregear, Dave Mariani, Prashanth Southekal, Ph.D, AJ Nish
5:00 pm
Fireside Chat

Negotiating a Truce in the Cloud Data Lake v. Cloud Data Warehouse Holy War

AtScale founder and CTO Dave Mariani will sit down with Bill Inmon, recognized by many as the father of the data warehouse, to discuss the evolution of modern cloud data platforms and try to dissect the origins of the conflict between differing data architectures. As data and analytics concepts like semantic layer, data mesh, and data fabric evolve within the modern data stack ecosystem, the lines are increasingly blurred between the pros and cons of the different data infrastructure approaches. Bill will share his unscripted commentary on the cloud holy war and will work with Dave to bring about lasting peace within the data and analytics galaxy.

Speakers: Bill Inmon, Dave Mariani
11:00 am

Bridging AI to BI with the Semantic Layer

Speakers: Elif Tutuk, Gaurav Rao
11:30 am

Supply Chain Optimization in Manufacturing with a Semantic Lakehouse

Speakers: Bala Amavasai, David LeGrand
11:50 am

Why you should extend your Semantic Layer with Behavioral Data

Speakers: Yali Sassoon
12:05 pm

Using data and analytics to drive business outcomes that reduce bottom-line and increase revenue

Speakers: Thiago da Costa
12:12 pm

Beyond Monitoring: The Rise of Data Observability

Speakers: Brandon Chen
12:20 pm

Practical Examples for Using a Semantic Layer to Support Data Mesh

Speakers: Petar Staykov
12:30 pm

Rediscovering Semantic Models in the Retail Industry

Speakers: Bryan Smith
12:45 pm

How a Semantic Layer Supports Embedded Analytics on Google BigQuery

Speakers: Maruti C
1:30 pm

Using The Semantic Layer To Balance Governance and Self-Service Analytics

Speakers: Alex Ross
1:55 pm

Semantic Layers and the Modern Data Stack: History Doesn’t Repeat Itself, but It Often Rhymes

Speakers: Josh Klahr
2:30 pm

Empower Self Service Analytics with AWS and AtScale and Run Power BI and Excel Live

Speakers: Shashi Raina, Dave Mariani
3:00 pm

Practical examples of Metrics Engineering in the Semantic Layer

Speakers: Zach Eslami
3:18 pm

Tapping the Enormous Potential of your Active Metadata

Speakers: Elif Tutuk
3:35 pm

What is meant by the term "Headless BI?" A hands on answer

Speakers: Daren Drummond
3:50 pm

How To Enable No-Copy Data Marts With a Unified Semantic Layer

Speakers: Brock Griffey
4:10 pm

Solving the Data Divide: The Role of Data Products in Bridging the Gap between Producers and Consumers

Speakers: Monica Miller
4:20 pm

Prediction Serving and Semantic Inferencing: Think Differently about your Production AI/ML Pipelines

Speakers: Zach Eslami
4:35 pm

Knitting Together a ​Smart Data Fabric

Speakers: Carmen Logue
4:50 pm

Knowledge Graphs, Semantic Layers, and Data Democratization, Oh My

Speakers: Navin Sharma
5:08 pm

Supercharge your semantic layer with data observability

Speakers: Kyle Kirwan
5:16 pm

Handling Boilerplate Calculations

Speakers: Elif Tutuk

Thank you to our '23 Participating Partners