The problem Databricks set out to solve is one every large company executive recognizes even if they don't know the technical name for it: fragmented data architecture. Before Databricks, companies lived with a painful split. Most organizations had to maintain two separate data systems that rarely worked well together. Data warehouses stored structured, curated data used for reporting, finance, and dashboards. Data lakes, by contrast, held large volumes of raw, unstructured

Cerebras is not building a better AI chip. It is rethinking how AI computation works. A single silicon wafer the size of a dinner plate, purpose-built for AI. While the rest of the industry slices wafers into thousands of tiny GPUs and then spends years stitching them back together with cables, Cerebras skipped the surgery. The result is an AI chip that runs inference up to 20 times faster than Nvidia's best at a fraction of the cost. That speed can create an entirely new mar

Most AI companies in healthcare promise efficiency. Insilico Medicine is aiming at a new way to originate medicines. The breakthrough is not that AI helps scientists work faster. It is that Insilico is trying to turn drug discovery itself into a repeatable, scalable engine. Its core bet is that target discovery, molecule design, and even parts of clinical prediction can be turned into a unified AI system, shrinking a process that traditionally takes years into something close