For small & large enterprises, implementing AI solutions across a company’s data stack is still complex & expensive. While deep learning has showcased its ability to understand unstructured data, AI tools have yet to catch up (e.g. most emerging ML Ops tools tend to be centered around different proprietary frameworks – making interoperability hard – & often come with a hefty price tag). On the other hand, building in-house AI solutions requires massive financial resources & multiple teams. So, instead of building yet-another walled garden, UK-based Instill AI has launched a new (fully managed cloud) open-source project called “Versatile Data Pipeline” (VDP). With a “no to low-code” approach, it allows users to “Extract, Transform, Load”...

Germany-based, Kopernikus Automotive (Kopernikus) is developing an “Automated Valet Parking” (AVT Type 2) (through “infrastructure orchestrated maneuvering technologies”) for logistics centers & car parks (i.e. “no one’s behind the wheel”). In a nutshell, the startup installs fixed sensors on location & AI (perception & path planning performed externally) to safely steer (driving commands sent wirelessly in real-time by a computer or agent) the vehicle to the parking space. The startup has already piloted (& recently converted to a contract) its solution with Volkswagen (in partnership with the latter’s Cariad software group) at their Wolfsburg plant, as well as two pilot projects across two Ford car plants in Europe. Moreover, client & investor Continental has started...