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Gain exclusive insights in an intimate gathering of 200+ senior data and AI leaders from leading organizations at DSC's ALIGN AI Executive Summits.
Join us in San Francisco to get up to speed on the latest in AI, network with fellow industry leaders, and engage in thought-provoking discussions about AI's biggest challenges and opportunities.
Secure your spot today by applying below. This is event is highly exclusive and invitation/application-only. Apply now and we'll let you know as soon as possible if you've secured an invite.
At DSC, we pride ourselves on hosting leading executives who are real-world changemakers: the senior data leaders from Fortune 500 companies who are at the forefront of innovation.
The summit will be held at McCormick & Kuleto’s, located in the iconic Ghirardelli Square in San Francisco.
Overlooking the San Francisco Bay with views of Alcatraz and the Golden Gate Bridge, this scenic venue offers a refined atmosphere with exceptional dining, elegant interiors, and comfortable spaces ideal for executive conversations and high-impact networking.
Skip the application process and secure your all-access pass to the exclusive ALIGN AI Summit of your choice by registering today for $2,499. These passes are available for a limited time and will sell out!
Registration includes in-person access to all summit features including:
– All general sessions, including presentations, and executive panels
– Invitation to at least one executive roundtable
– Breakfast, lunch, and networking reception
– Exhibit Hall
ALIGN AI Summit free passes – for qualified attendees only – are highly limited and 100% free.
You may qualify if you meet all 3 criteria below:
1. Your company is not a vendor and has no sales interest in end-users of AI-related products or services
2. You work at a non-vendor organization with 5K+ employees
3. You hold a senior-level position (director-level and up)
After you complete the registration form, we will be back in touch to let you know if you have been selected.
| AGENDA | |
| 9:00 AM | Registration & Breakfast |
| 9:45 AM | Opening Remarks Speaker: Brian Mink, Co-Founder & President @ Data Science Connect |
| 10:00 AM | Keynote Presentation - Orchestrating Intelligence: Real-World AI Without Lock-In, presented by Safe Software Speaker: Don Murray, Co-Founder & CEO @ Safe Software In the rush to adopt AI, too many teams sacrifice choice for convenience, locking into single vendors, rigid tools, or narrow platforms. But what if you could integrate any AI, with any data, on your terms? In this session, we’ll show how real organizations, from utility giants to fast-moving disruptors are using AI without losing control. |
| 10:25 AM | Presentation - Observability Agents and Agent Observability Speaker: Barr Moses, Co-Founder & CEO @ Monte Carlo This session explores how both observability agents, and agent observability, give teams end-to-end visibility—from data ingestion to model outputs—so they can detect issues early, trace root causes instantly, and keep AI agents performing at their best. Learn how unifying data and AI observability helps you move faster, control costs, and deliver trustworthy, production-ready AI at scale. |
| 10:50 AM | Panel Discussion - The AI Enterprise: Building Trust, Breaking Silos, Governing at Scale, and Harnessing Autonomous Agents, brought to you by ThoughtSpot Panelists: Stephen Harris, Field Chief Data and AI Officer, North America @ ThoughtSpot Christine Huang, Director, Data Privacy & Management @ Edwards Lifesciences Suman Bhattacharya, PhD, Director Data Science @ DocuSign Vamsi Nadimpalli, Vice President, Data Science @ Extra Space Storage Mitali Parthasarathy, Director Engineering @ Yelp AI and autonomous agents have the potential to redefine how enterprises operate—but trust, governance, and alignment remain critical hurdles. Senior leaders will share strategies for breaking silos, governing AI at scale, and ensuring agents drive measurable business value while staying accountable to organizational priorities. |
| 10:50 AM | Executive Roundtable (Invite-Only), brought to you by Safe Software |
| 11:30 AM | Exhibitor Hall Showcase / Networking Break |
| 11:55 AM | Presentation - Driving ROI with High-Performance Data Infrastructure for AI Speaker: Srini Srinivasan, CTO & Founder @ Aerospike Go beyond AI pilots—learn how leading companies like PayPal, Barclays, Wayfair, and Myntra achieve massive ROI by scaling predictive, generative, and agentic AI. Discover best practices for deploying AI in fraud detection, recommendations, and customer 360, with insights from proven, enterprise-scale success stories. |
| 12:20 PM | Presentation - Transform AI Ambitions into Reality with a Smarter Data Foundation Speaker: David Ingersoll, Sr Manager AI Specialists North America @ NetApp AI is reshaping how businesses innovate and compete—but real success starts with a strong data foundation. This session explores how NetApp’s intelligent data infrastructure helps organizations overcome fragmentation and slow access to unlock AI’s full potential, drive smarter decisions, and turn ambition into strategy. |
| 12:40 PM | Networking Lunch + Open Bar Begins |
| 1:40 PM | Executive Roundtable (Invite-Only) - Building High Performance Data Infrastructure for AI, brought to you by Aerospike Machine learning, generative and agentic AI is transforming every industry, placing new demands for performance and scalability on the enterprise data infrastructure. Join us as we discuss best practices from PayPal, Barclays, Wayfair, AppLovin and other organizations rolling out fraud detection, customer 360 and other use cases for driving revenue and profits, and reducing costs for efficient growth. |
| 1:40 PM | Panel Discussion - Fuel AI Agents with AI-Ready Data, brought to you by Informatica Panelists: Amir Kashani, Director AI and Digital Product Development @ Stanley Black & Decker Radha Krishna Murthy Karuturi, Director, Research Data and Analytics, Center for Health Systems Research @ Sutter Health Meenal Iyer, Vice President, Data @ SurveyMonkey Ana Garcia, VP of Data and Engineering @ Legalzoom.com Data leaders worldwide are now being directed to pursue GenAI and AI agents to drive innovation, top-line revenue growth and productivity — but without the right data, AI projects might be stuck in experimentation. Discover how AI-ready data fuels relevant, responsible and robust AI that scales. |
| 2:25 PM | Presentation - Actual AI Readiness: Building the Foundation, Not the Hype Speaker: Jonathan Bruce, Field CTO @ Alation AI success isn’t about hype—it’s about readiness. This session explores what it *really* takes to build a foundation for scalable, secure, and high-impact AI. From data architecture to infrastructure strategy, learn how leading teams are preparing their orgs to move fast, stay grounded, and turn AI potential into real outcomes. |
| 2:50 PM | Presentation - The Secret Weapon Behind Reliable AI? A Semantic Layer Your Engineers Don’t Have to Build Speaker: Rajoshi Ghosh, Co-Founder & Chief Ecosystem Officer @ PromptQL Everyone’s scrambling to bolt GenAI onto their SaaS stack—but most hit the same wall: AI that doesn’t understand your business. The reason? Your data is messy, siloed, constantly changing—and LLMs can’t reason over it without context. That context is the semantic layer. And no, it’s not your warehouse schema. In this talk, the speaker will share: • Why traditional approaches (data modeling, knowledge graphs, manual prompt tuning) are too brittle to scale. • How PromptQL builds an agentic semantic layer (autonomous, self-improving) across APIs, SaaS tools, and internal data—no centralization needed. • Real-world examples of how this powers agents that can handle thousands of edge cases without blowing up in production. If you’re responsible for operationalizing AI at scale, this is the architecture shift that will give you reliability and determine whether your AI systems get adoption—or stay stuck in POC mode. |
| 3:10 PM | Exhibitor Hall Showcase / Networking Break |
| 3:30 PM | Panel Discussion - Next-Gen AI Enablement: What Happens When Everyone Can Build?, brought to you by Alteryx Panelists: Melvin Abraham, Strategic Customer Success Manager @ Alteryx Vineet Kumar, Vice President, Data Science @ Fanatics Commerce Mike Salem, Associate Director of Data Science - Quality Assurance @ Gilead Sciences Natashia Tjandra, Director AI @ Electronic Arts Monika Nerger, Global CIO & Industry Advisor @ Mandarin Oriental Hotel Group What happens when anyone in your org—not just engineers—can build with AI? This session dives into next-gen enablement strategies that expand access without losing control. Learn how leading teams are rethinking platforms, governance, and skills to unlock AI-driven innovation across every function. |
| 4:10 PM | Closing Remarks Speaker: Amelia Mink, Co-Founder & CEO @ Data Science Connect |
| 4:15 PM | Networking Reception |
| 5:00 PM | Executive Happy Hours + Dinners (Invite-Only) |
Agentic AI systems act with autonomy, pursuing goals, making decisions, and adjusting behavior based on feedback. These systems combine reasoning, memory, and planning, enabling more complex workflows. They’re key to scaling AI from task-specific tools to intelligent agents handling end-to-end processes.
RAG enhances generative AI by combining it with a retrieval mechanism that pulls relevant data from external sources. Instead of relying only on training data, RAG injects up-to-date, domain-specific information into responses, improving accuracy, reducing hallucinations, and enabling grounded, real-time outputs.
Enterprise-grade AI demands robust architecture, scalable infrastructure, strong security, governance, and integration with existing systems. Successful builds prioritize user adoption, compliance, and performance—balancing technical complexity with business value and operational readiness across teams.
Effective AI starts with good data. Data governance ensures policies, access control, and compliance, while data management focuses on collection, quality, lineage, and storage. Together, they ensure data is trusted, secure, and usable—laying the foundation for ethical, high-impact AI initiatives.
A data strategy defines how an organization collects, manages, and uses data to drive business goals. It aligns data architecture, governance, and use cases across departments. A strong data strategy ensures readiness for AI, improves decision-making, and turns data into a competitive asset.
Observability helps teams monitor, debug, and optimize data and AI systems in real time. For data, it ensures quality and pipeline health. For AI, it tracks performance, drift, and anomalies. This transparency is critical for reliability, compliance, and improving models post-deployment.
Low-code/no-code platforms enable non-technical users to build apps and workflows, lowering the barrier to data and AI adoption. They foster experimentation, speed up innovation, and empower more people to solve problems with AI—while raising the need for governance and best practices.
Scaling AI requires powerful compute, storage, networking, and orchestration. From model training to deployment, organizations need infrastructure that supports reliability, cost efficiency, and integration. This includes GPUs, MLOps pipelines, and cloud/on-prem hybrid setups to handle enterprise needs.
Measuring AI ROI involves linking models to business outcomes. It includes tracking cost savings, efficiency gains, revenue growth, and user satisfaction. Clear KPIs, baseline metrics, and post-deployment analytics are essential for justifying investments, refining use cases, and driving AI adoption.
Our sponsors represent the leading edge of data and AI. From generative AI to vector databases, graph, feature engineering, data management, and more, you’ll find the solutions you need to take your organization to the next level.
