Systems | Development | Analytics | API | Testing

Your Client's Growth Looks Good... But Is It Competitive?

Most agencies report on growth. But growth alone doesn’t answer the real question clients care about: Are we actually competitive? In this walkthrough, 42 Agency shows how they use the Databox MCP with Claude to benchmark client performance against relevant peer groups — filtered by size, revenue, and industry. Instead of relying on generic industry averages, they combine: The result? Stronger strategy conversations, clearer goal setting, and more confident planning grounded in a real market context.–

I Let AI Audit My LinkedIn Strategy (Here's what happened)

If you’re consistently posting on LinkedIn, the hard part isn’t getting data — it’s analyzing it. Most people review posts one by one, compare impressions manually, and try to “spot patterns” by eye. That’s slow. And it makes strategy reactive. In this walkthrough, Kamil Rextin, founder of 42 Agency, uses the Databox MCP with Claude to run a fast, AI-driven analysis of his LinkedIn performance — the kind of first-pass review you’d normally assign to a junior analyst.

How leading AI companies really build: lessons from 40+ engineering leaders

What does it actually take to ship Gen 2 AI experiences to real users at scale? Matthew O'Riordan, CEO of Ably, shares insights from conversations with 40+ engineering leaders — including at unicorns and public corporations — on where AI delivery breaks and what production teams are doing about it. Topics covered: Timestamps.

From Chaos to Clarity: How Spotter Unifies Healthcare Data for Better Decisions

Most healthcare teams are making decisions from multiple different dashboards and systems that don't talk to each other, which means someone is manually stitching together the picture—one that's always slightly out of date by the time it's ready. Outdated or incomplete data can lead to fragmented patient care and experiences. And no health system wants that. Whether tracking enrollment targets or auditing claims denials, Spotter applies standardized clinical logic to your unified dataset so you can focus on what matters: the patient. Go from chaos to clarity.

Discovery Agent is Here! - Quick Explainer

Discovery Agent brings automated anomaly detection directly into Qlik Cloud. It monitors the metrics you care about, identifies meaningful changes, and delivers contextual insights right where you work. Today it’s a monitoring capability inside Qlik Cloud. Over time, it becomes one of the agentic services supporting autonomous workflows across the platform.

Cut your AI API costs while you develop. #speedscale #api #softwaredevelopment #aicoding #devops

Speed is everything, but accuracy matters too. Learn the exact procedure to record live AI responses and use them as simulations for your automated tests. Watch the full breakdown and start saving tokens today.

Spotter for Supply Chain | Full Demo - March Spotlight

Supply chain leaders are constantly balancing supply and demand in a world where volatility is the only constant. But tracking disruptions after they happen isn't enough—true agility requires seeing them coming. In this session, Ivan Seow, our Senior Director of Product Marketing, takes the wheel for a deep-dive demo of Spotter for Supply Chain. He demonstrates how to move beyond reactive analytics and into a world of proactive, industry-tailored foresight.