The Covid-19 pandemic reminded us that everyday life is full of interdependencies. The data models and logic for tracking the progress of the pandemic, understanding its spread in the population, ...

Artificial intelligence has quickly transitioned from research environments into standard business operations. AI-powered ...

IMAGINiT’s hub-and-spoke platform was created to integrate disparate data to support AI in automation and predictive ...

Researchers find large language models process diverse types of data, like different languages, audio inputs, images, etc., similarly to how humans reason about complex problems. Like humans, LLMs ...

Today, AI relies on data, and many organizations are treating AI systems like traditional applications. From my experience leading large AI and data modernization projects in regu ...

Read a story about dogs, and you may remember it the next time you see one bounding through a park. That’s only possible because you have a unified concept of “dog” that isn’t tied to words or images ...

Nvidia faces competition from startups developing specialised chips for AI inference as demand shifts from training large ...

Many engineering teams still rely on architecture optimized for transactional apps, not for AI systems that mix structured and unstructured data and live event streams. This legacy architecture has ...