Since its inception in the early 1900s, the mobility industry has continued to rank high among the early adopters of innovation. The AI breakthroughs in the recent years, however, appear to be a watershed moment – making it necessary for global OEMs and Tier 1s to drive rapid and consistent course corrections. Consequently, we are witnessing a growing number of mobility companies investing more in AI and applied AI, as compared to cloud, edge, advanced connectivity, web3, and immersive tech combined.
From shared mobility to autonomous driving, occupant/driver experience, and immersive services, AI adoption is unlocking a whole new gamut of possibilities. With history offering ample evidence that successful innovators are rewarded by the mobility market, businesses have a significant opportunity at their hands – especially those who are yet to work with applied AI.
That said, some applications of AI in mobility have already matured and are starting to pay off. The mobility industry experts at LTTS engaged in an extensive analysis of these trends, across three domains – Product Development Life Cycle (PDLC), Software Development Life Cycle (SDLC) and User Experience (UX). We believe that the following applications represent the most important avenues that mobility businesses should be paying attention to right now, especially in SDLC and UX.
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