Systems | Development | Analytics | API | Testing

Ep 93 | When Everyone Has AI, Your Data Sets You Apart

After 23 years in machine learning and data science, Cao Hong has seen plenty of AI projects come and go. His measure of success is simple: did it create value for the business? Recorded at *EVOLVE26* Singapore, this episode of The AI Forecast brings Paul Muller together with Cao Hong, Principal Director of Data Apps at NCS, to explore how organizations can turn AI experimentation into measurable business impact.

How to Build a Self-Service AI Platform Without Losing Control of GPUs, Data, or Security

Most enterprise AI infrastructure conversations land on the same tension. Builders want self-service: instant access to GPUs, a stable endpoint for a model, a notebook, or a fine-tuning run that starts without a ticket. Platform teams want per-team quotas, identity-aware access, audit trails, tenant isolation, and cost attribution they can defend. Both sides are right, and most platforms make you choose between them because self-service and control get layered onto a base that was designed for neither.

From BI to Agentic AI: Why the Dashboards You Built Are the Foundation for Agents

Two questions stall almost every agentic AI rollout: Is it secure? And what is this going to cost us? Both get harder to answer the longer you wait to ask them, and easier to answer than most teams assume. If you've already invested in a robust data analytics platform like Qlik, you're closer to a secure, governed, and cost-effective agentic AI deployment than the market's “rip and replace” narrative suggests.

Honoring Absa: Achieving 96% less test creation time with SmartBear QMetry and SmartBear Reflect

At SmartBear, we’re dedicated to empowering teams by delivering application integrity: continuous, measurable assurance that their software works as intended, even as AI accelerates the SDLC. The AI Test Innovators Award: QMetry + Reflect celebrates customers who are using AI to reimagine how they create, maintain, and manage tests – without sacrificing rigor or reliability.

How to Use ChatGPT Codex in Terminal to Build Your First Tool #aicoding #iosdev #aidevelopment

You don’t need a big app idea to try Codex. A messy Downloads folder is enough. In this beginner walkthrough, you’ll ask ChatGPT to write a prompt in plain language, then paste it into Codex in Terminal to build a simple file organizer. You’ll see how to: The file names and folder contents shown are fictional examples. Your first version doesn’t have to be perfect; you can improve it with follow-up prompts.

AI-Powered Digital Front Door: How AI Improves Patient Access and Intake (2026)

The digital front door is moving beyond portals, online forms, and basic appointment booking. In 2026, AI is making patient access more responsive by helping patients find the right provider, schedule care, verify coverage, complete intake, and prepare for visits through connected digital workflows. The shift comes as healthcare organizations move AI from experimentation into real operations.

AI Literacy Starts at the Top

AI literacy across 60,000 people starts with the C-suite. In this clip from podcast, Bethany Miles, Chief AI Officer at Advantage Solutions, shares how she built enterprise-wide AI fluency, starting with 10+ hours of hands-on executive training and a CEO coding workshop. What you'll learn in the full episode:→ Why AI literacy has to start at the top before it can scale anywhere else→ How Advantage Solutions redesigned broken processes before automating them→ What to measure beyond adoption (service excellence and time-to-complete)