Systems | Development | Analytics | API | Testing

How Medical Practice Consulting Improves Both Compliance and Patient Experience

How closely are compliance and patient experience actually connected in a medical practice? While compliance often focuses on regulations, documentation, privacy, and operational standards, it can directly influence how smoothly patients move through their care. Disorganised processes, inconsistent communication, or poorly managed administrative responsibilities can create compliance risks while also frustrating patients.

ThoughtSpot + ClickHouse Delivers Agentic Analytics at Scale

Agentic analytics, embedded customer-facing reporting, and everyday business metrics now demand the same thing: performance at massive scale, and answers fast enough that a business user never notices the wait. Most generic databases were never designed for that combination. They assume a small population of analysts writing SQL and query latency measured in seconds, not AI agents and business users asking questions around the clock.

How to Find and Fix JavaScript Memory Leaks

Memory leaks are the bugs that really creep up on you. One minute your app is running perfectly, then suddenly it slows to a crawl or crashes. We don’t get a warning with memory leaks, so we need to prepare proactively and be ready when they hit. This means we need to: This guide is here for all of that.

How Developers Organize Web Resources During Software Testing and Development

Modern software development depends on far more than a code editor and source repository. Developers regularly move between documentation, API references, testing tools, staging environments, issue trackers, monitoring dashboards, browser tools, and deployment services. When these resources are scattered across open tabs, messages, bookmarks, and project notes, valuable time is lost simply finding the right page again. A small amount of organization can make both development and testing more efficient.

Ep 90 | Can AI Make Sense of Pharma's Messiest Data?

Human biology is extraordinarily complex, and researchers often have only fragments of information to work with. Brian Martin compares it to looking at a skyscraper through a keyhole: you can see something clearly, but only a tiny piece of the whole. Recorded at EVOLVE26 Singapore, this episode of The AI Forecast brings Paul Muller together with Brian Martin, CTO of Applied AI at Cloudera and co-founder of Rare Hopes NFP, to explore what one of the world’s most data-intensive industries can teach us about AI and decision-making.

Which AI Analyst Holds Up Best for Your Hard Questions?

Analytics vendors claim their AI answers questions accurately, but almost none of them will show you how they checked. The standard move is a percentage with no denominator: "90%+ accuracy on internal benchmarks." No dataset you can download. No scoring method you can inspect. No competitor runs under the same conditions. You're asked to trust the grade without ever seeing the exam1 We ran the exam in public terms instead.

Start your AI agent testing with deterministic tooling

By now everyone is aware of the limitations inherent in generative AI and the AI agents that use it to complete their tasks, and the challenges involved in getting them enterprise quality. If you are planning to incorporate AI agents into your enterprise IT architecture, how are you planning to validate their quality and accuracy?