TECHNOLOGY & AI
TECHNOLOGY & AI
“ WE HAVE THE ABILITY
TO BRING WHAT WE CALL
INTENT AND CONTEXT INTO THE PRODUCT
WITH AI ”
THOMAS MUELLER , VP & CTO OF WIPRO ENGINEERING EDGE We have the ability to bring what we call intent and context into the product with AI that sits in the vehicle and it sits outside the vehicle . This is not specific to a car , it can be a truck , van , or even a two-wheeler . If the product has the ability to aggregate information pertaining to its users , whether it ' s the driver or its passengers , we can improve the overall user experience and the product characteristics .
TS : How does that work exactly ?
TM : We have , what we call , stretch knowledge graphs . Knowledge graphs are semantic graphs that have been used in AI for quite some time that we can stretch on our cloud platforms that sit inside and outside the vehicle .
The first evolution is the in-vehicle architecture . Historically , this has incorporated monolithic , spaghettilike code ; embedded C code and , unlike everything else in the industry bar a few , has been evolving into service orientation — delivering software in microservices and containers for over a decade now . The modularisation of software has not happened , particularly in the automotive space . We are , first of all , disaggregating the vehicle software , making software and hardware independent from each other .
We can deliver them in containers and , once we have these containers , we can place them on a platform that connects to a public or a private cloud .
EVMAGAZINE . COM [ Jan 2024 ] 85