This episode is brought to you by Extreme Networks, the company radically improving customer experiences with AI-powered automation for networking.Extreme is driving the convergence of AI, networking, and security to transform the way businesses connect and protect their networks, delivering faster performance, stronger security, and a seamless user experience.

Visit https://www.extremenetworks.com/ to learn more.

JotForm began nearly twenty years ago as a simple online form builder.

Today, it has grown into a platform powering millions of users and has recently stepped into a new era of AI. In this episode, Aytekin Tank, founder and CEO of JotForm, shares the story of how the company pivoted from forms to launching AI Agents that are changing the way small and medium-sized businesses handle customer support and automation.

Aytekin explains how JotForm’s AI journey started as an internal experiment to fill out forms by voice, only to discover that most users wanted it for customer service. That insight sparked the creation of JotForm AI Agents, tools that don’t just answer questions, but perform tasks, scale support teams, and transform the customer experience.

Beyond the technology, Aytekin outlines a bold vision of the future where every business, no matter the size, will have its own AI-powered agent available around the clock to schedule appointments, answer questions, and even process transactions.

This conversation explores how AI is reshaping customer service and why small businesses, nonprofits, and educators stand to benefit the most from this wave of innovation.

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(00:00) The Scale of JotForm Today and the AI Vision
(01:32) Aytekin’s Journey: From Developer to Bootstrap Founder
(03:36) The Pivot: From Voice Forms to AI Customer Service
(05:25) Building and Launching JotForm AI Agents
(06:20) Using AI Internally: Cutting Tickets and Boosting Resolution Rates
(08:13) Why AI Agents Go Beyond Chatbots
(12:22) Demonstrating JotForm AI in Action
(21:40) The Tech Stack Behind JotForm’s AI Agents
(24:59) Training and Teaching Your Own AI Agent
(33:27) Competition, Differentiation, and Market Strategy
(36:55) Why Small Businesses Need AI the Most
(38:24) The Future: Every Business With Its Own AI Agent
(40:19) Pricing, Growth, and Lessons in Scaling AI
(42:26) Slow Growth vs Explosive Scale and Lessons Learned
(43:55) Aytekin’s Vision for AI in Business

Try OCI for free at http://oracle.com/eyeonai

This episode is sponsored by Oracle. OCI is the next-generation cloud designed for every workload – where you can run any application, including any AI projects, faster and more securely for less. On average, OCI costs 50% less for compute, 70% less for storage, and 80% less for networking. Join Modal, Skydance Animation, and today’s innovative AI tech companies who upgraded to OCI…and saved.

Matthew Carroll, CEO and co-founder of Immuta, joins the Eye on AI podcast to explore how data access governance is evolving in the age of generative AI.

As AI drives a surge in both human and non-human data consumers, traditional security models are no longer enough. Matthew explains how Immuta automates compliance, enforces policies across global jurisdictions, and scales secure access for enterprises—from blinded clinical trials in pharma to cross-border data sharing.

Discover why AI-powered governance agents, risk-based access controls, and native cloud integration are the future of compliant, scalable data use.

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Craig Smith on X: https://x.com/craigss
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(00:00) How Immuta Governs Data in the AI Era
(02:59) Security Alone Isn’t Enough in AI
(05:24) From U.S. Intel Roots to Immuta’s Platform
(07:38) Pharma Trials: Protecting Billions in Drug Development
(12:58) The Data Marketplace & Access Negotiations
(16:07) Why Native Integration Beats Proxy Models
(20:33) Managing Data Across Borders & Sovereignty Laws
(25:33) The Data Governor Bottleneck (and AI Solution)
(31:05) Inside Immuta’s SaaS Model & User Roles
(33:26) Big Data Lessons Driving AI ROI
(41:05) The Growing Data Governance Market
(45:48) Storage Portability & Apache Iceberg Explained
(48:32) Future Shift to Risk-Based, AI-Driven Access

AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support.


How does a 150,000-employee global leader make AI work at scale?

In this episode of Eye on AI, host Craig Smith sits down with Julia Peyre, Head of AI Strategy & Innovation at Schneider Electric, to explore how the company is pioneering enterprise AI adoption through its AI Hub, hybrid AI systems, and real-world digital twin applications.

From breaking data silos and embedding AI into hardware, to partnering with startups and building predictive maintenance solutions, Julia shares a blueprint for bringing AI from pilot programs to full-scale deployment, across both internal processes and customer-facing products.


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Craig Smith on X:https://x.com/craigss
Eye on A.I. on X: https://x.com/EyeOn_AI


(00:00) Preview and Intro
(01:58) Meet Julia Peyre & Her Role
(03:19) Inside Schneider’s AI Hub
(05:51) AI in Industrial Automation & Robotics
(08:43) Internal vs External AI Applications
(13:54) Why Schneider Is Ahead in AI Adoption
(15:57) Centralized AI Hub Model
(19:38) Hybrid AI: Combining Physics & Data
(25:44) Early Steps in Multi-Agent Systems
(29:54) Breaking Data Silos for AI at Scale
(32:02) Predictive Maintenance with Hybrid AI
(37:03) Long-Term View on AI Automation
(42:37) Advice for Young Professionals in AI
(44:21) Framework for Evaluating AI Solutions
(50:19) Involving End Users in AI Testing