Join us for a full day of agentic AI technical enablement followed by an executive roundtable from AWS' leading agentic data partners: Dataiku, Cockroach Labs, TigerGraph, and Matillion
Gain strategic insights on eliminating infrastructure complexity and workflow fragmentation while maintaining governance frameworks that address compliance, explainability, and risk management. Connect with thought leaders who are successfully accelerating time-to-value for mission-critical AI applications across global enterprises. The session concludes with valuable networking opportunities during our evening reception, perfect for exploring partnership opportunities and innovation strategies.
Join our exclusive executive roundtable where industry visionaries reveal strategies for harnessing Agentic AI to revolutionize enterprise data operations. Learn why 89% of organizations remain stuck in AI pilot phases and discover proven approaches to breakthrough implementation.
David Lipowitz brings over 20 years of experience as a Data Engineer and Architect to the topic of machine-scale data engineering. His background spans across traditional relational databases to modern Cloud Data Platforms such as Redshift and Snowflake. David began his career as a “Citizen Data Professional” in market research building reports in Excel but taught himself to code and became a database administrator before realizing his passion for Solution Architecture, drawn to its customer-facing aspects
Dr. Victor Lee has held numerous roles at TigerGraph since joining in 2014. He combines technical knowledge in graph analytics, databases, and ML/AI with strengths in strategic planning, communication, customer/user experience, and leadership to help to bring to market category-leading graph analytics & AI products. He is the author of Graph-Powered Analytics and Machine Learning with TigerGraph. At TigerGraph, he has previously served as Head of Product Strategy/Developer Relations and Head of Machine Learning/AI.
Lisa is an established global sales executive with more than 25 years' experience leading business growth in the technology industry. As Vice President Sales - Americas at TigerGraph she is responsible for driving revenue growth and market expansion. Prior to TigerGraph, Lisa held sales leadership positions at Hewlett Packard, Hewlett Packard Enterprise, Tivoli Systems and IBM and at startups including Network Physics and NativeMinds. She has a successful track record of driving strong growth and fostering a culture of sales excellence.
,Chris leads teams focused on helping enterprises design, scale, and modernize mission-critical data systems with CockroachDB, the cloud-native, distributed SQL database. With over two decades of experience in data infrastructure, analytics, and solution architecture, Chris has built and led high-performing technical organizations at Cockroach Labs, Cloudera, Hortonworks and more. His work bridges deep technical expertise and customer success, guiding organizations through complex data transformations to achieve resilience, scalability, and performance.
Dataiku, The Universal AI Platform™, helps enterprises overcome implementation challenges that keep 89% of organizations stuck in AI pilot phases. The platform seamlessly integrates with AWS services including Amazon Bedrock and SageMaker, while eliminating infrastructure complexity and workflow fragmentation. Through no-, low-, and full-code capabilities, organizations can build sophisticated AI agents and operationalize AWS services without requiring deep cloud expertise. Dataiku provides built-in governance frameworks that address compliance, explainability, and risk management concerns while meeting enterprise security and regulatory requirements. Over 700 global enterprises use Dataiku to unlock the full potential of their AWS AI infrastructure and accelerate time-to-value for mission-critical agentic AI applications.
TigerGraph is a high-performance, scalable graph database and analytics platform designed for enterprises. Unlike traditional databases that store data in separate tables, TigerGraph stores data as connected nodes (vertices) and relationships (edges), which allows it to process and analyze complex, interconnected datasets in real time. The platform is particularly suited for use cases where understanding relationships and hidden patterns is critical, such as fraud detection, supply chain optimization, and AI applications.
Cockroach Labs is the company behind CockroachDB, a cloud-native, PostgreSQL-compatible distributed SQL database that survives region failures, scales automatically, and simplifies ops. Run as a fully managed service or a self hosted database on AWS with private networking and S3 backups—great for global, AI-powered customer apps.
Matillion presents how they transform complex data engineering with just a spoken request, demonstrating how their agentic AI solution autonomously designs, builds and monitors data pipelines in minutes instead of hours. You'll see Maia intelligently connect disparate data sources, suggest quality tests, and continuously monitor for anomalies—all without manual coding. This live demonstration will showcase how Matillion is addressing the data engineering talent gap while freeing your technical teams for strategic work.
Join us for an energizing networking happy hour connecting Partners and Field Solutions Architects! This casual gathering provides the perfect setting to strengthen relationships, share insights, and explore new collaboration opportunities while enjoying refreshments and appetizers. Whether you're looking to discuss recent customer wins, brainstorm solution strategies, or simply expand your professional network, this is your chance to connect with fellow technical leaders in a relaxed atmosphere. Don't miss this valuable opportunity to build stronger partnerships and drive innovation together.
Join us at the AI Shield - Financial Services Security Leadership Forum, hosted in one of Amazon's premier Mid-Town Manhattan facilities. Just a short stroll from Grand Central and Penn Station, Amazon's JFK14 offers a secure and sophisticated office space, perfectly equipped to foster executive engagement and collaboration. Experience the ideal setting for insightful discussions and networking opportunities.
Dataiku is an enterprise AI and machine learning platform that enables organizations to democratize data science across technical and business teams. Their collaborative "Universal AI Platform" bridges the gap between data scientists, analysts, and business users, enabling companies to build, deploy, and govern AI solutions at scale while maintaining control over their data. Dataiku simplifies the end-to-end AI lifecycle from data preparation to model deployment with a unified interface that supports both code-based and visual programming approaches.
Cockroach Labs creates CockroachDB, an enterprise-grade distributed SQL database designed for mission-critical applications that require global scale and resilience. The company provides a database solution that automatically handles scaling, replication, and recovery, enabling businesses to maintain continuous operations across multiple regions with minimal management overhead. CockroachDB delivers consistent performance for applications that need to operate globally without interruption, combining the familiarity of traditional SQL with cloud-native architecture that eliminates downtime and simplifies operations. Their offerings include fully-managed cloud services and self-hosted options, giving enterprises flexibility in deployment while maintaining data sovereignty.
TigerGraph develops a high-performance native graph database platform designed to extract meaningful insights from complex connected data at scale. Their solution enables organizations to analyze deep relationships within data that traditional databases struggle to process efficiently. TigerGraph's technology powers real-time analytics for use cases like fraud detection, customer 360, supply chain optimization, and AI/ML enhancement through knowledge graphs. Their platform features a parallel processing architecture that delivers superior query speed and scalability for billions of vertices and edges, coupled with GSQL, their graph query language that combines SQL-like familiarity with powerful graph traversal capabilities. TigerGraph offers both cloud and on-premises deployment options, allowing enterprises to build sophisticated graph applications that reveal hidden patterns and relationships within their interconnected data.
Matillion is a cloud-native data integration platform that recently introduced Maia, an agentic AI solution functioning as virtual data engineers. Maia autonomously handles data tasks including building, testing and deploying pipelines, while offering natural language interfaces for data requests. It integrates with major cloud platforms like Snowflake and AWS to address data engineering talent shortages with their tagline "Not enough data engineers? Let Maia make you some." Available within Matillion's Data Productivity Cloud, Maia represents their strategic shift toward AI-powered data engineering solutions that reduce manual tasks and accelerate integration workflows.
AWS's agentic AI offerings deliver comprehensive solutions for enterprises seeking to harness autonomous AI capabilities at scale. Amazon Bedrock provides the foundation with a fully managed service for accessing leading foundation models through a unified API, while Bedrock Agents extends this by enabling organizations to create purpose-built AI assistants that connect to enterprise systems and execute complex tasks through natural language instructions. AWS AgentCore complements this ecosystem by providing the infrastructure backbone required to deploy and operate AI agents securely at enterprise scale, offering session isolation, persistent memory, and monitoring capabilities that eliminate infrastructure complexity. Meanwhile, AWS Strands represents the company's open-source framework for building sophisticated multi-agent systems capable of complex orchestration patterns and autonomous decision-making, delivering proven business value
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