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.

The mobility revolution may have the potential to transform cities, but in the short term the rise in ride-hailing apps, bike sharing, and electric scooters is giving many local officials fits. A healthy dose of data and machine learning may help get this movement back on track. That's the bet that San Francisco-based StreetLight Data is making. The company is helping cities harness the explosion of data being generated by everything from smart city sensors to mobile phones to new transportation modes, in a bid to reinvent urban planning. As cities groan under rising populations and pollution, making more effective use of data could be the key to making them habitable over the long run.

The mobility revolution may have the potential to transform cities, but in the short term the rise in ride-hailing apps, bike sharing, and electric scooters is giving many local officials fits. A healthy dose of data and machine learning may help get this movement back on track. That's the bet that San Francisco-based StreetLight Data is making. The company is helping cities harness the explosion of data being generated by everything from smart city sensors to mobile phones to new transportation modes, in a bid to reinvent urban planning. As cities groan under rising populations and pollution, making more effective use of data could be the key to making them habitable over the long run.

We live in a world of exponentially increasing technology advancements. Never in the history of mankind have so many such advancements emerged in parallel and in combination, carrying so much impact. The phenomena are marked in time: The timing from what once seemed impossible to possible and functional can become extremely short – sometimes measured in just days or weeks. Ever heard the maxim that internet years are like dog years, where one in actual elapsed time equates to seven? Exponential advancement is the reason.