Connecting Leaders in Data & AI

Join the world's largest community of data and AI
professionals at industry-leading events

COLLIDE Data & AI Conference | September 30-October 1, 2025

Join us in person in Atlanta for the South’s largest data and AI conference! Register now to take advantage of our Early Bird discount and meet top data executives from Fortune 500 companies.

Join the Largest Data & ai Community in the World

Since its inception in 2012 as a grassroots meetup, Data Science Connect (DSC) has evolved into the world’s largest data and AI community, connecting more than 100K data practitioners and executives to experts, solutions, and knowledge.

Our events feature data and AI’s biggest names and most innovative solutions, including a significant presence from Fortune 500 data executives and founders of leading edge data and AI startups. We also offer a range of custom marketing, digital media, and strategic insights services designed to elevate your brand and amplify your message to our global audience.

This is where you don't just meet the future; you shape it.

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2025 Events

ALIGN. COLLIDE. CONNECT.

COLLIDE Data+AI Conference
Our annual IN-PERSON tradeshow in Atlanta will showcase the latest trends and advancements in data and AI. Network with, and learn from, leading data executives and practitioners.
ALIGN AI Executive Summits
Invitation-only summits featuring 200+ senior data and AI leaders from leading organizations discussing the latest trends and challenges. Apply now to join us!
K-12 Data & AI Conference
Our K-12 Data Science Conference introduces K-12 students, educators, and parents to foundational data and AI concepts and examples of data and AI careers.
Webinars + Partner Events
We collaborate with a wide range of partner organizations to bring you conferences, webinars, and other programming featuring leading experts in data science.

OUR COMMUNITY BY THE NUMBERS

Data Science » Data Science Connect
Data Science » Data Science Connect
Data Science » Data Science Connect

our 2025 EVENTS theme

AI FOR ENTERPRISE

Enterprise AI is at a crossroads. Organizations that move beyond experimentation and into scalable, governed, and high-performing AI systems will define the next era of business. But success requires more than just adopting the latest model. It demands a strategic approach—one that integrates AI into the core of the enterprise while ensuring reliability, transparency, and measurable impact.

This year’s events and webinars focus on what it truly takes to build enterprise-grade AI applications. From agentic AI and retrieval-augmented generation (RAG) to AI infrastructure at scale, we explore the frameworks and technologies that leading organizations are using to operationalize AI. We address the critical role of data governance, observability, and democratization, ensuring AI is not only powerful but also manageable, ethical, and accessible. And because AI is only as valuable as the outcomes it drives, we tackle the most important question: How do you measure AI’s ROI?

Through expert-led discussions and real-world case studies, this year’s events and webinars provide actionable insights for leaders building AI that is scalable, sustainable, and aligned with business goals. AI’s future isn’t just about innovation—it’s about execution. Join us to learn how industry pioneers are making AI work at scale, with confidence, and for real business impact.

Topics to Expect

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.

Testimonials

meet our speakers

At DSC, we pride ourselves on hosting speakers who are real-world changemakers: the senior data leaders from Fortune 500 companies who are at the forefront of innovation.

Current & Past SPONSORS

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. 

Data Science » Data Science Connect
Data Science » Data Science Connect
Data Science » Data Science Connect
Data Science » Data Science Connect
Data Science » Data Science Connect
Data Science » Data Science Connect
Data Science » Data Science Connect
Data Science » Data Science Connect
Data Science » Data Science Connect
Data Science » Data Science Connect
Data Science » Data Science Connect
Data Science » Data Science Connect
Data Science » Data Science Connect
Data Science » Data Science Connect
Data Science » Data Science Connect
Data Science » Data Science Connect
Data Science » Data Science Connect
Data Science » Data Science Connect
Data Science » Data Science Connect
Data Science » Data Science Connect
Data Science » Data Science Connect
Data Science » Data Science Connect

OUR AUDIENCE. YOUR PRODUCT. INCREDIBLE RESULTS.

In addition to our world-class events, we also offer a suite of fully-customizable marketing, digital media, and strategic insights services designed to elevate your brand and amplify your message.

Dive into the tailored solutions below and leverage our cutting-edge strategies, global community of 100K+, and deep industry knowledge to propel your organization forward.

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