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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 Boston 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 City Winery, nestled in the heart of downtown Boston.
Just steps from North Station and the TD Garden, this vibrant venue combines urban charm with upscale amenities. With its warm ambiance, curated wine selection, and flexible event spaces, City Winery sets the stage for meaningful executive dialogue and premium networking experiences.
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 | Panel Discussion - The Agentic AI Enterprise: Aligning Autonomous Agents With Enterprise Goals and Guardrails 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. |
| 10:50 AM | 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. |
| 11:10 AM | Exhibitor Hall Showcase / Networking Break |
| 11:40 AM | Executive Roundtable (Invite-Only) |
| 11:40 AM | Presentation - Transform AI Ambitions into Reality with a Smarter Data Foundation Speaker: Richard Swakla, AI Solution Sales Specialist @ NetApp AI and generative AI are reshaping the way businesses innovate, operate, and compete. However, achieving real success with these technologies requires more than just ambition it calls for a robust, scalable, and secure data foundation that eliminates roadblocks like fragmented data and slow access. NetApp is at the forefront of enabling organizations to overcome these challenges with innovative solutions designed to power smarter, data-driven systems. This session dives into how an intelligent data infrastructure can transform your ability to harness AI, unlock unparalleled opportunities for innovation, streamline complex operations, and fuel faster, insight-driven decisions. See how NetApp’s visionary approach empowers leaders to turn ambition into actionable strategies that shape the future of their organizations. |
| 12:05 PM | Presentation - Safeguarding Sensitive Data in the Age of GenAI Speaker: Amruta Moktali, Chief Product Officer @ Skyflow |
| 12:25 PM | Networking Lunch + Open Bar Begins |
| 1:30 PM | Executive Roundtable (Invite-Only) |
| 1:30 PM | Panel Discussion - Next-Gen AI Enablement: What Happens When Everyone Can Build?, brought to you by Alteryx 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. |
| 2:20 PM | Presentation TBA, brought to you by Monte Carlo |
| 2:40 PM | Exhibitor Hall Showcase / Networking Break |
| 3:05 PM | Panel Discussion - AI ROI in Practice: What Leading Enterprises Get Right As AI tools become more accessible, everyone—from marketers to product managers—can now build. This expert panel explores how democratized AI is reshaping roles, governance, and innovation across organizations, and what it means for agility, accountability, and the future of intelligent creation. |
| 3:50 PM | Closing Remarks Speaker: Amelia Mink, Co-Founder & CEO @ Data Science Connect |
| 4:00 PM | Networking Reception |
| 4:45 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.
