Systems | Development | Analytics | API | Testing

Ep 99 | Rethinking the Cost of Enterprise AI | Heard from EVOLVE26 New York

A $6,000 laptop could change the math on a $60,000 AI token bill. That fact makes Patrick Moorhead question how businesses calculate the cost of AI. For suitable workloads, running an open model locally could make an expensive-looking hardware purchase a worthwhile investment. His focus is the cost of producing a reliable result.

Demo: Streamhouse for AI and Analytics with Confluent's Data Streaming Platform

See how an airline company can use Confluent to build a Streamhouse that powers a real-time flight operations dashboard and AI agents to rebook passengers using current flight and hotel data. Explore Lightning Tables, Confluent Intelligence (Streaming Agents), and Tableflow.

Kong in 5: AI Gateway 2.0 on Kubernetes

Kong AI Gateway 2.0 can be installed on Kubernetes in about five minutes using Kong Operator, Helm, and a self-managed control plane in Konnect. This walkthrough starts with a two-node cluster, creates a new AI Gateway in the Konnect UI, and installs Kong Operator with Helm. It then generates a personal access token, applies the API auth secret, and deploys the data plane through custom resources. You’ll see how to configure replicas, image, and load balancer ports in the YAML. This is the first video in the Kong in 5 series for Kong customers and users.

How to use Claude for data analysis and reporting (and its limitations)

Claude has become the place where a lot of everyday work gets done, and analysis and reporting are no exception. In Databox’s recent survey, Using AI You Don’t Trust, 86% of business users said they reach for an AI tool like Claude or ChatGPT before any other tool for analytical work. Honestly, the pull toward these tools is easy to understand. Feed Claude a spreadsheet, and it can synthesize your data, spot trends, and turn raw numbers into written explanations and reports in minutes.

Why Anthropomorphizing Your AI is Risky Business #AI #podcast #techpodcast

While it may seem harmless to give your AI a name, or a gender, you could be inadvertently opening up a security risk in the process. Dr. Peter Garraghan has spent years studying how attackers exploit AI systems, and some of his findings are surprisingly human. AI models can be manipulated through language, using techniques that resemble the social engineering tactics cybersecurity professionals have dealt with for decades.

Agentic AI in PropTech: What Changes When Software Starts to Act

An AI that drafts a listing or summarizes a lease is now ordinary in real estate software. The change worth watching is software that can carry out work inside the systems a business actually runs on. That change is easy to underestimate. In a demo, an agent that schedules a viewing or processes a renewal can look straightforward.

Build Embedded AI Analytics with Claude Code in 30 Min | LiveBuild | ThoughtSpot

Embedded analytics in 30 minutes: watch us embed an AI analyst and branded analytics into an app with ThoughtSpot's SpotterCode in Claude Code. Live Thursday, October 29 8am PT · 11am ET · 3pm GMT · 8:30pm IST What you'll see: Every step is real code against ThoughtSpot's Visual Embed SDK and REST APIs. No ThoughtSpot experience needed. Speaker: John Hegele, Principal Technical Architect, ThoughtSpot.

AI Observability in Production: How It Secures Modern Agent Workflows

Traditional software monitoring builds reliability by tracking uptime, latency, and error rates. As artificial intelligence moves into core enterprise operations, establishing robust observability in AI becomes essential to measure what systems do once live, moving far beyond basic prediction accuracy and server health. Modern non-deterministic models and autonomous AI agents act rather than just predict.

Ep 97 | AI Agents Move Fast. Who's in Control?

One developer burned through 300 million AI tokens in a single week. The payoff was far less impressive. For Todd Trevillion, it's a striking example of what can happen when AI adoption outpaces the controls needed to manage it. And with autonomous AI agents beginning to make decisions on behalf of businesses, the stakes are getting higher.

How Astera Uses ARIA: IT Agents

IT touches almost everything in a software company, from accounts and security to infrastructure, which means even a small delay becomes a bottleneck. Sudais (Growth Strategist) sits down with Abbas Hussain (Product Solutions Engineer), to talk about how Astera uses ARIA in IT: the IT agent that Abbas helped build, how it works, and how it has become part of the IT team's day-to-day.