IMPACT SUMMIT
Online | On-demand Coming Soon!
Driving Trust in Data
IMPACT 2024 virtual summit brings together the world’s top data leaders and practitioners for a 1-day virtual event to discover how modern data teams accelerate growth, create new business value, and drive Data + AI trust at scale.
IMPACT 2024 Keynote Speaker
Allyson Felix
Allyson Felix is the most decorated woman in track and field in history, winning 11 medals over 5 Olympics, including 7 golds, 3 silvers, and one bronze. In 2021, at the age of 35 and after giving birth to her daughter, she won bronze in the 400 meters and gold in the 4x400 meter relay.
While Felix’s claim to fame was on the track, she was also one of the first Olympic athletes to leverage data to improve her performance, most notably to score her first gold in the 200m. Now, as an entrepreneur and activist, Felix uses data to advocate for improved maternal health outcomes for black mothers and conditions for postpartum athletes.
IMPACT 2024 Keynote Speaker
Allan Lichtman
American historian and creator of the Keys to the White House, a data-driven model to predict who will win the popular vote during U.S. presidential elections.
Lichtman will share his expert insights on how data shapes decision-making and why it’s crucial in building trust in today’s unpredictable world. Dive into the mind of the man who has accurately forecasted U.S. presidential outcomes for decades using statistics, pattern recognition, and other strategies.
Featured Virtual Tracks
Leading with Data + AI: Strategies of organizational data trust & adoption
Thought Leadership | Breakout Session
Join data leaders as they share their experiences, learnings, and best practices in leading with data, building resilient data teams, scaling processes, and fostering a culture of data trust for organizational data adoption.
Pioneering Data Observability: Building trusted data, systems, and code
Data Practitioners | Breakout Session
Hear from best-in-class data teams about their experiences pioneering data observability at scale with cutting-edge tech, frameworks, and organizational structures across data, code, and infrastructure.
9:00 AM - 9:30 AM PT - Pioneering the Future of Data and AI
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Keynote Speaker | Main Stage Pioneering the Future of Data and AI with Amir Netz, CTO of Microsoft FabricIf 2023 was the boom of GenerativeAI, 2024 is the year of realizing it's value. Perhaps no individual in data knows this more than Amir Netz. As a pioneer of business intelligence, Amir Netz, Technical Fellow and CTO of Microsoft Fabric, is the brain behind the technologies powering SQL Server, Excel, and PowerBI. Now, decades later and in the AI age, his contributions to data and analytics are more important than ever before when it comes to deriving real value for your business. Join us for a panel discussion between Amir Netz, Technical Fellow and CTO of Microsoft Fabric, and Lior Gavish, CEO and Co-Founder of Monte Carlo, about how longstanding data technologies are powering real-world AI use cases, the role of data quality in this future, and how AI itself is driving data democratization and access at scale. |
9:30 AM - 10:00 AM PT - The 13 Keys to Reliable Predictions: A Fireside Chat with Presidential Predictor Dr. Allan Lichtman
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Keynote Speaker | Main Stage The 13 Keys to Reliable Predictions: A Fireside Chat with Presidential Predictor Dr. Allan LichtmanAs data and AI leaders, we’re tasked with helping businesses and other organizations make better data-driven decisions. The same statistical models and modes of prediction can also be applied to elections - just ask Dr. Allan Lichtman. Lichthman is an award-winning historian and creator of the Keys to the White House Model, which uses 13 true/false criteria to predict whether the presidential candidate of the incumbent party will win or lose the election. During this fireside chat, Dr. Lichtman will share how he developed his 13 Keys, the role of history vs. circumstance when it comes to data analysis, and how he’d revise his presidential prediction models almost 50 years later. We’ll also dive into the role of AI in electoral predictions and what this evolving technology means for the future of democracy. |
10:00 AM - 10:30 AM PT - Trust and Privacy by Design: Drata’s Ethical Use of Data in AI
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Data Leaders Breakout Track | Leading with Data + AI Trust and Privacy by Design: Drata’s Ethical Use of Data in AIIn the rapidly evolving world of compliance automation, safeguarding client data isn’t just a priority — it’s the cornerstone of trust, integrity, and it’s something that Lior Solomon, VP of Data Engineering at Drata, takes seriously. In this session, Lior will explore how Drata’s responsible AI practices, combined with advanced data observability, set new standards for privacy, trust, and reliability in the industry. Discover how Drata integrates privacy by design, enforces strict data governance, and utilizes data observability to build AI systems that not only advance technology but also earn and maintain customer trust. |
10:00 AM - 10:30 AM PT - Crafting Effective Data Quality Reports: Building Trust and Democratizing Data at Payoneer
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Data Practitioners Breakout Track | Pioneering Data Observability Crafting Effective Data Quality Reports: Building Trust and Democratizing Data at PayoneerPayoneer, a global leader in cross-border payments, is at the forefront of transforming how data teams instill trust in data through a relentless focus on data quality and democratization. From defining clear goals and calculating data trust scores to implementing targeted strategies that improve satisfaction across user groups, Payoneer is setting a new benchmark for data-driven success in the financial sector. Join Eli Genislaw, Senior Director of Data Engineering at Payoneer, to hear his approach to reporting on the state of data quality and democratization, and best practices for how you can implement these strategies at your organization. |
10:30 AM - 10:55 AM PT - 5 Unexpected Ways Data and AI Will Evolve in 2025
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Data Leaders Breakout Track | Leading with Data + AI 5 Unexpected Ways Data and AI Will Evolve in 2025“The data and AI space moves fast. If you don’t stop and look around once in a while, you just might miss it,” said Ferris Bueller if he was in tech, probably. No one knows this more than Tomasz Tunguz, General Partner at Theory Ventures and investor in Looker, Motherduck, Monte Carlo, Hex, and other pioneering data companies. In this talk, Tomasz will walk through the top 10 trends he sees defining data and AI in 2025, including the rise of ML engineers, the evolution of the LLM production stack (vector databases, anyone?), the role of data observability in generative AI deployment, and the explosion of query engines, among other critical technologies. |
11:00 AM - 11:30 AM PT - Transforming Data into Value: Implementing Development Best Practices for High-ROI Data Products
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Data Leaders Breakout Track | Leading with Data + AI Transforming Data into Value: Implementing Development Best Practices for High-ROI Data ProductsIn today's data-driven business landscape, developing data products that maximize business value and productivity while achieving the highest ROI is crucial. This presentation will explore how integrating the Software Development Lifecycle (SDLC) with the principles outlined in Marty Cagan's seminal works (Inspired: How to Create Tech Products Customers Love and Empowered: Ordinary People, Extraordinary Products) can revolutionize data product development. By leveraging Cagan's methodologies, which emphasize customer-centric design, cross-functional collaboration, and agile practices, organizations can create data products that not only meet but exceed customer expectations. This session will detail practical strategies for implementing these practices within the SDLC framework, ensuring that data products are both innovative and aligned with business goals. Attendees will gain insights into optimizing product management processes with tools like data observability, fostering a culture of empowerment, and driving continuous innovation to achieve sustainable business success. |
11:00 AM - 11:30 AM PT - From Monolith to Microservices: Using Data Observability to Build a New Lending Platform
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Data Practitioners Breakout Track | Pioneering Data Observability From Monolith to Microservices: Using Data Observability to Build a New Lending PlatformFor private banking company Earnest, high-quality, reliable data from end-to-end is absolutely essential. Join Bronte Baer, Manager of Data Platforms & Analytics Engineering at Earnest, as she dives into their transition from a monolithic data system to a microservices-based architecture and addresses the challenges of data migration, joining, monitoring, and validation in a new, decentralized environment. She’ll share real strategies for leveraging data observability and metadata cataloging to ease the pain of a migration and how those strategies ultimately helped her team build a more reliable lending platform. |
11:30 AM - 12:15 PM PT - From the Experts: Building the Blueprint for AI-Ready Data
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Data Practitioners Breakout Track | Pioneering Data Observability From the Experts: Building the Blueprint for AI-Ready DataWith data and AI reshaping industries, the need for reliable, high quality data is business critical. But, how are data teams actually driving data quality and reliability in practice? We’re gathered a quorum of data leaders from SurveyMonkey, Grammarly and DraftKings to share how they’re tackling data quality head on. Tune in to learn best practices and lessons learned for how to approach implementing data quality management processes, technologies, and organizational changes to ensure their company can fly high with reliable data. |
11:30 AM - 12:15 PM PT - Operationalizing Data Reliability in the Age of Generative AI
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Data Leaders Breakout Track | Leading with Data + AI Operationalizing Data Reliability in the Age of Generative AIEarlier this year, Monte Carlo introduced the Trusted Data for AI (TDAI) Customer Advisory Council - an exclusive group of top technology leaders whose aim is to make the data powering AI more trustworthy and reliable. In this special IMPACT session, hear from three TDAI Council members to get their blueprint for how they’ve fully embraced and operationalized data observability to drive their AI strategies at their organizations. |
12:30 PM - 1:00 PM PT - Going for Gold: A Conversation with U.S. Gold Medal Olympian Allyson Felix on Breaking Barriers with Data
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Closing Keynote Speaker | Main Stage Going for Gold: A Conversation with U.S. Gold Medal Olympian Allyson Felix on Breaking Barriers with DataWe have an exciting surprise in store for you! A special guest, widely regarded as one of the greatest of all time at their craft, will be joining us. This legendary figure has dominated the global stage, winning numerous medals and using groundbreaking data-driven techniques to enhance their performance. In a rare and exclusive conversation with Monte Carlo CEO Barr Moses, our mystery guest will dive into how data shaped their journey to the top, how AI is transforming the world, and the vital role of data in advocacy. You won’t want to miss this captivating session—stay tuned for the big reveal!
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1:00 PM - 1:25 PM PT - Powering Reliability for the AI Era: Leveraging AWS and Data Observability for Impactful Applications
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Closing Product Keynote | Main Stage Powering Reliability for the AI Era: Leveraging AWS and Data Observability for Impactful ApplicationsAs the leader in cloud computing, AWS powers 32 percent of the world’s cloud applications, including software, data products, and, of course, AI. AWS Bedrock, the company’s foundation model development platform, is charting the course for building impactful and scalable AI applications for customers worldwide. Leading the teams responsible for making these data organizations successful? Head of AI/ML and GenAI Specialist Solutions Architects, Slavik Dimitrovich. In this fireside chat with Monte Carlo Head of Solutions Engineering, Shohei Narron, Slavik discusses how real-world enterprises are driving successful outcomes on Bedrock, the role of data solutions like Amazon Redshift in the LLM equation, and how data observability partners like Monte Carlo ensure that these applications – and the RAG pipelines that augment them – are reliable and trustworthy.
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Allan Lichtman
American Historian, Creator of the Keys to the White House
Allyson Felix
7x Gold Medalist, Data-Driven Olympic Athlete, Creator and Co-founder,
Saysh
Amir Netz
Technical Fellow and Chief Technical Officer,
Microsoft Fabric
Barr Moses
CEO and Co-founder,
Monte Carlo Data
Pierre A. Fischer
Product Line Lead, Data Platforms,
Roche
Tomasz Tunguz
General Partner,
Theory Ventures
Stefanie Tignor, PhD
Head of Product Data Science & Engineering,
Grammarly
Sri Subramanian
Director of Data Engineering,
SurveyMonkey
Lior Solomon
VP of Engineering, Data,
Drata
Eli Genislaw
Senior Director of Data Engineering,
Payoneer
Bronte Baer
Manager, Data Platforms & Analytics Engineering,
Earnest
Philip Zelitchenko
Vice President, Data & Analytics,
ZoomInfo
Lior Gavish
CTO & Co-founder,
Monte Carlo
Iwao Fusillo
Global Head of Data and Analytics, Digital Commerce,
PepsiCo
Elle Pyatt
Monte Carlo
Casey Maskalenko
Senior Lead Data Engineer,
DraftKings
Slavik Dimitrovich
AWS
Surekha Durvasula
Walgreens Boots Alliance
Andrew Koller
Epic Games
Join us IRL (In Real Life) at IMPACT World Tour
FAQ
Q1. What is IMPACT?
IMPACT is Monte Carlo’s annual summit for data leaders and architects dedicated to sharing thought leadership, best practices, and advice about what it takes to drive impact with reliable data and AI at scale! Now in it’s third year, IMPACT brings together the data community to showcase the latest and greatest trends, technologies, and processes in data quality, large-language models, data and AI governance, and of course, data observability.
Q2. Who should attend IMPACT?
IMPACT welcomes data, ML, and AI leaders and architects charting the path forward for their company’s data reliability initiatives, from implementing data governance programs to building trusted data stacks and training LLMs powered by high quality data. Whether you’re just looking to learn more or want to dive deeper into best-in-class data and ML management strategies, IMPACT is the event for you.
Q3. Will virtual sessions be recorded?
Yes! Sessions will be recorded and available on demand post event. A majority of our sessions are live however, so make sure to join day of to get the full experience!
Q4. What is the IMPACT giveaway details?
Monte Carlo is sponsoring two Formula 1 Heineken Silver Las Vegas Grand Prix 2024 3-day passes and a 3-night stay at the MGM Grand to one lucky virtual IMPACT attendee. To be automatically entered for the giveaway, register and attend IMPACT 2024. The giveaway for at midnight on 11/14/2024. Check out the terms and conditions for more details.
Q5. My question isn’t answered here.
Send us a message at impact@montecarlodata.com.
Thank You for Attending IMPACT!
The Data Observability Summit | See You Next Year