AI Architecture
All 7 Agentic SaaS Talks episodes about AI Architecture.
AI Architecture episodes
Episode 34: How to Govern & Monetize Agentic AI | DataRobot Agent Workforce Platform
Romi Datta, VP and Head of Product Management at DataRobot, explains why enterprise AI is moving past chatbots and copilots toward full agent workforces, and why 95% of agentic AI pilots still fail to deliver measurable ROI. He walks through production use cases from insurance claims processing to industrial safety at Chevron (with NVIDIA edge AI), then breaks down the governance, observability, secure context management, and agent memory an enterprise platform needs to run agents in cloud, hybrid, on-prem, and air-gapped environments.
Episode 31: Building BYOC for Fortune 500: The Real Story of Enterprise AI Deployment
Daniel Chalef, founder and CEO of Zep AI, walks through the brutal technical reality of deploying AI products into Fortune 500 environments, zero-trust architectures, Service Control Policies, no-egress VPCs, and broken image supply chains. He explains why pure SaaS AI products can't meet enterprise security bars and how Bring Your Own Cloud (BYOC) deployments actually get shipped into locked-down customer infrastructure.
Episode 18: Deploying Agentic Applications: From Multi-Tenant to "SaaS Anywhere"
In today's session, we're unpacking one of the most critical questions for modern AI companies: How do you actually deploy agentic applications? Join us as we break down how agentic systems will be deployed at scale, what changes SaaS companies must prepare for, and what the future of agent-driven architectures looks like.
Episode 22: Taming AI Complexity with Head of Engineering at Anyscale
Jaikumar Ganesha (JK), Head of Engineering at Anyscale, breaks down modern AI infrastructure challenges and how Ray (the open-source compute framework) is powering production-grade AI at scale. Covers the 'AI complexity wall,' distributed training, and includes a live demo of building a multimodal AI app.
Episode 17: Agentic Architectures: Building AI Apps that Think and Scale
AI applications are evolving from simple prompt-driven tools into agentic systems, intelligent applications that can reason, act, and adapt. But as builders race to bring these apps to market, the same questions keep coming up: What should we build ourselves? What should we leverage from the ecosystem? And how do we operate these apps as a managed service at scale? In this session, our guests unpack the architectural patterns, design choices, and deployment models shaping the next wave of agentic innovation. From front-end frameworks like Vercel + Next.js, to AWS-native AI services, to control planes that automate everything between, this is a blueprint for taking your Agentic App from prototype to managed platform.
Episode 11: From Prompt to Product AI with OriginAI CEO
This episode explores how Generative AI is transforming application development, making it faster, more accessible, and more modular. We focus on how platforms like Origin AI are helping founders and product leaders move from idea to working application logic using natural language and structured prompts.
Episode 5: From Idea to Launch: The AutoBlocks Journey with Adam Nolte
Adam Nolte, Co-Founder & CTO of AutoBlocks.ai, the OS for AI Product Teams, shares the real-world journey of building AutoBlocks from the ground up: how the idea was born, the challenges faced while building for AI product teams, key lessons from turning vision into a launched product, and insights on the future of AI tooling and infrastructure.