Data Science ATL

Today’s data executives are being flooded with AI hype–but how do you cut through the noise and focus on use cases that truly deliver value? Designed for data executives, this webinar offers a clear, practical approach to identifying and implementing AI use cases that drive measurable business impact.

Through real-world examples and proven frameworks, we’ll explore how to move beyond buzzwords to align AI initiatives with strategic goals, integrate effective models into enterprise systems, and overcome challenges like scalability and stakeholder buy-in.

Key Takeaways:

• Unlock Strategic AI Opportunities: Learn how to identify AI-driven use cases that align with enterprise priorities and maximize ROI.
• Bridge Technology and Business Goals: Discover strategies to seamlessly integrate AI models into enterprise systems for transformative outcomes.
• Tackle Real-World Challenges: Gain insights into overcoming common barriers, such as scalability and cross-functional collaboration, in AI implementation.

Panelists to be announced soon

Explore the real-world impact of Agentic AI in our fast-paced, insight-packed virtual showcase. Each 10-minute session features a live demo from a leading innovator in the Agentic AI space—highlighting practical applications, dynamic workflows, and tangible business outcomes.

This isn't just another pitch session. It’s a curated look at how agent-based systems are driving intelligent automation, adaptive planning, and cross-functional orchestration across industries. You’ll meet the minds behind these technologies and see firsthand how they’re redefining what's possible in enterprise AI.

What You'll Learn:

1️⃣ Autonomous Workflows: See how agentic systems plan, coordinate, and execute complex tasks across tools and teams.

2️⃣ Dynamic Decisioning: Explore examples of contextual reasoning, goal alignment, and memory-enhanced agents in action.

3️⃣Practical Integration: Understand what it takes to embed agentic AI into your stack—without overhauling everything.

Engage live with founders and builders shaping the future of autonomous enterprise solutions.

You’re short on time but deep on curiosity. This format respects both—cutting straight to the tech and the teams behind it. No filler, no fluff. Just signal.

Every AI breakthrough starts with a solid data foundation, but too often, companies jump into AI without the infrastructure, strategy, or clarity they need to make it work. In this webinar, Fivetran Field CTO Mark Van de Wiel sits down with leaders from Accenture and Snowflake to talk about what it really means to be AI-ready and how the right data strategy can set your team up to deliver real results.

Key Takeaways:

1️⃣ What separates organizations that succeed with AI from those that stall out
2️⃣ Why data quality, access, and movement are essential to any AI initiative
3️⃣ How modern data infrastructure accelerates AI development
4️⃣ Lessons from the field: what these leaders are seeing across industries

Join us for a straightforward conversation—and walk away with a clearer path to getting your data (and your team) ready for what’s next.

Data quality is the backbone of effective AI implementation, yet errors, biases, and inconsistencies in datasets often go unnoticed until they derail key projects. Join this illuminating webinar to uncover how poor data quality affects AI accuracy, scalability, and ROI.

Our panel of experts will share actionable insights into recognizing hidden pitfalls, establishing robust data governance frameworks, and ensuring your AI initiatives yield impactful results. This session is essential for professionals aiming to maximize the value of their AI investments while navigating common data challenges.

Key Takeaways:

• Understanding Data Quality Risks: Learn how errors and biases in data undermine AI model accuracy and decision-making.
• Strategies for Robust Data Governance: Discover practical approaches to ensuring data consistency and reliability.
• Optimizing ROI from AI Initiatives: Explore methods to enhance AI performance and scalability by improving input data quality.

Panelists ti be announced soon