Self-driving cars expert witnesses, consultants, and keynote speakers make no secret about it: Autonomous vehicles (AVs) will soon take center stage on roadways worldwide. But while these increasingly self-aware models’ feature sets continue to grow (and five years hence, we likely won’t need to manually drive ourselves around), make no mistake. Per self-driving cars expert witnesses, connected cars consultants, and AV keynote speakers, these types of advanced capabilities (and the advanced levels of self-awareness that they bestow on vehicles) will also require new AI capabilities to juggle the huge computing workload associated with processing and interpreting so much information in real-time.

In effect, the ability to access advanced AI that taps into the power of the cloud, and can quickly sift through and interpret information, is becoming increasingly critical to the development of new autonomous vehicles − many companies are now offering the solutions that developers need to deliver the future of self-driving technology. By providing ready-made solutions for data generation, collection, and interpretation, these firms (which now include the likes of leading consulting companies and graphics chip makers) are making it far simpler to design and deploy dependable autonomous vehicle solutions − and train these autonomous vehicles to become even smarter and safer over time. Like self-driving cars expert witnesses, connected car consultants, and autonomous vehicles keynote speakers are apt to point out: As the automotive industry transitions from one primarily grounded in steel to one whose roots lie in software, a host of new forward-focused AI and technology providers are helping deliver the solutions needed to juggle and manage the greater computing workloads and increasingly complex problem-solving needs of tomorrow’s self-driving automobiles.

Wondering what the future of self-driving cars will hold? You may wish to ask yourself the following questions as you consider what it takes for enterprises to compete in the space.

Q: Designing an automobile is typically an exercise in mechanical engineering and aerodynamics − why in the future will it be more one of software engineering and artificial intelligence?

Q: Just how much computing and processing power does it take to power the brains behind a self-driving car?

Q: Why is it critically important for autonomous vehicles to be more effective at processing and interpreting information − and how can new AI solutions help facilitate better solutions here?

Q: What sort of amounts of data and information are being generated and interpreted whenever an autonomous vehicle hits the road?

Q: Is it fair to say that tomorrow’s cars will have just as much in common with computers as they do traditional vehicles − and what does it mean for the future of the automotive industry?

Q: What might it surprise folks to learn about the AI and computing solutions that go into powering current and future self-driving cars?

Q: How are the solutions that today’s leading technology providers are offering helping pave the way for a new generation of autonomous automobiles?

Q: Some of the innovative and incredible ways in which AV manufacturers are using these tools to define the future of driving include…?

Q: How much smarter are AI capabilities becoming with each passing year – and what kind of amazing features are they bestowing on cars?

Q: What key points should we keep in mind when we think about what the future of self-driving cars will hold, and why it’s important to keep an eye on the field of autonomous vehicles?