Four ways machine learning is powering the mobility revolution

When Switzerland decided to slash congestion and pollution by removing tens of thousands of cargo trucks from its Alpine highways, it built the Gotthard Tunnel, the longest and deepest rail tunnel in the world. This feat of modern engineering is a boon to civilian and commercial entities alike, but such ingenious construction projects aren't the only way we can improve the future of transportation and logistics. Instead, in an increasingly competitive and connected world where just 29 percent of transportation and logistics (T&L) CEOs are confident their company's revenues will grow in the next year, more and more T&L companies are turning to new, cloud-based machine learning services that can help them become more efficient and drive a better experience for their customers. This convergence of the cloud and AI is enabling widespread innovation in autonomous technology, especially mobility. That's game-changing, as 68 percent of heads of T&L companies believe that changes in core technologies of service provision will disrupt their industry in the next five years, according to PWC, while 65 percent anticipate progress in distribution channels will do the same.