Most marketing data tells you what people are doing, but not why they’re doing it. That gap is exactly where modern marketers ...

To enhance the precision of risk reporting, organizations can adopt advanced methodologies like Basel II and Monte Carlo ...

From the Human Genome Project to large-scale initiatives like the UK Biobank and The Cancer Genome Atlas (TCGA), the recent ...

That’s why the industries racing to automate data management with AI are under growing pressure to put humans back in the loop. Human-in-the-loop (HITL) is no longer a niche safety net—it’s becoming a ...

Researchers also propose a new methodological framework to ensure crucial fact-finding missions in ongoing conflicts can ...

Financial institutions, from trading desks to portfolio management teams, invest heavily in data infrastructure. Yet, many struggle to connect this wealth of information to tangible business outcomes, ...

DoorDash has launched a badge serving framework (BSF), a configuration-based system that decouples UI badge logic from application code. BSF allows the company to manage badges through backend ...

A patient-centric ecosystem means your medical information follows you and every innovation starts with the question: How ...

Glean began its journey to agentic AI by offering AI-based search. It soon added LLM-based AI assistants, aka chatbots. Now the company offers a full-fledged agentic AI platform that leverages Glean’s ...

We spoke to visual design vendor Canva's Duncan Clark about its new spreadsheet-based foray into data visualization and data-driven automation.

Medical image segmentation is one of the most important tasks in modern healthcare. Every pixel in a scan tells a story, whether it marks a healthy cell, a cancerous growth, or a vital organ boundary.