Data Science Salon

SF we’re back. 💗 lands at the AWS Builder Loft on November 5 for the Enterprise AI Builders Conference.
One day. No hype. Just the engineers, product leaders, and data teams building GenAI and intelligent agents that work in production.

Featuring practitioners from ThoughtSpot, Adobe, Nextdata, Stripe, Ability AI, Chime, LinkedIn, AWS, NVIDIA, Intuit, ServiceNow, Walmart Global Tech, Amazon, AOI, and Optum Heathcare.
Free to attend. Apply through the link in bio.

AI can perform a task to asking much harder questions:

🔹 Does it work reliably in production?
🔹 Does it work in healthcare?
🔹 Can you prove it is safe, accurate, and ready to use?

Watch standout content from seven years of the Summit
Join the conversation before the live sessions begin
The Applied AI Summit is completely virtual and free to attend: 💙 appliedaisummit.org 💙 also in BIO

Is your enterprise actually ready for agentic AI?

The biggest barrier to agentic AI may not be the models — it may be the enterprise itself.

As Ravi Bulusu, CTO of IFS Loops, explains in our latest AI Loves Data Podcast, agents need much more than an LLM to operate effectively.

They need APIs. MCP servers. CLIs. A semantic layer that actually represents the business. And critically, they need boundaries.

As we move from software interfaces that restrict what users can do to agents capable of taking action across systems, those boundaries become even more important.

🎧 Catch Ravi’s full conversation in Episode 66 of the AI Loves Data Podcast on your fav pod platform.

AI Adoption Beyond the Hype Almost every company has an AI strategy.
Far fewer have meaningful adoption.
At AI Loves Data SF, Daniela Matinho, Senior Marketing Scientist at Snapchat, explores what actually drives AI adoption inside organizations—and why technology is often the easy part.
Topics include:
• organizational adoption
• measuring AI impact
• moving from pilots to production
• overcoming internal resistance
In-person ONLY
Apply to Attend for FREE:
https://ailovesdata.com/san-francisco

Awards are only as credible as the people evaluating them.
That’s why we’re assembling a judging panel made up of practitioners who build, deploy, govern, and scale AI every day.

MicroAgents:
The Microservices of the Agentic Era As enterprises move beyond single LLM applications, one question is becoming increasingly important:
How should AI agents actually be architected?
At AI Loves Data SF, Ashish Shubham,
VP of Engineering at ThoughtSpot, will explore why MicroAgents may become the building blocks of the next generation of enterprise AI. Instead of relying on monolithic agents, organizations are beginning to design specialized, composable agents that communicate, scale independently, and solve focused tasks—much like microservices transformed software architecture.
We’ll discuss:
• MicroAgents vs. monolithic agents
• Building scalable agentic architectures
• Enterprise design patterns for autonomous systems Join us November 5.
In-person ONLY
Apply to Attend for FREE: https://ailovesdata.com/san-francisco

Enterprise AI Has Entered a New Phase:
We’re moving beyond copilots.
Beyond chatbots.
Beyond experimentation.
The next generation of enterprise AI is autonomous, orchestrated, and production-ready.
That’s exactly what we’ll explore at AI Loves Data SF on November 5.
In-person ONLY
Apply to Attend for FREE