All tagged artificial intelligence
Mike Kent from GridBeyond and Alex Iriondo from Monta to join the AI in Automotive Podcast to share how fleet managers can adapt to the opportunities that electrified fleets represent.
Fleet electrification can appear intimidating, but after this chat with Mike and Alex, I couldn’t be more excited about the possibilities that electrified fleets hold. We are just scratching the surface at this point in time, using fleet assets to deliver flexibility and grid services. But as the ecosystem matures, the sky is the limit - fleet assets aggregated as a Virtual Power Plant, vehicle to grid and vehicle to building - all of this is coming in the near future, and promises to revolutionise how fleets are acquired, operated and managed.
One of the most interesting ways in which EVs are accelerating the mobility-energy convergence is through virtual power plans, or VPPs. On the one hand, EV fleets aggregated as a VPP provide value to the grid by offering flexibility and balancing services. On the other, it allows fleet owners, operators and vehicle owners to benefit financially, reducing their charging bills or their lease payments. Johanna Izett from Hive Power joins the AI in Automotive Podcast to discuss the potential of aggregating electric vehicles as Virtual Power Plants, delivering benefits to the grid as well as to fleet operators. We also chat about Hive Power’s Flexo platform utilises AI to bring the idea to life.
As one of the most knowledgeable voices in this space, Teddy Flatau, Founder and CEO of Wevo Energy, shares his view on what it will take for charging to be everywhere, and how Wevo Energy is helping the world get there. If you are interested in the smarts that make a charger go from a dumb plug to a cutting-edge piece of tech that can manage when and how much your car charges to optimise your spend and the load on the grid, this is the chat you want to listen to.
If you look beyond what is mainstream, then the biggest theme that is emerging is the rapid convergence of the automotive and energy industries. We are seeing energy utilities turn into EV lease companies, and automotive OEMs turning into energy companies, thanks to the energy in the batteries of their EV parc. This represents significant opportunities for energy companies, automotive OEMs, fleet owners / operators and hundreds of other players in the automotive and energy ecosystems.
Needless to say, AI, as an enabling technology, is a key accelerator of this convergence. This is what we will be covering in future episodes of the AI in Automotive Podcast.
Could the recent Cruise debacle in San Francisco have been handled better? What does it mean for the rest of the self-driving industry? To find out, I invited Alex Roy to the AI in Automotive Podcast. Alex is one of the most recognised voices, and an absolute authority in this space. We talk about the incident itself, but also what sort of regulatory framework city authorities might want to consider in order to achieve the right balance between innovation and safety.
With the rise of AI and the commoditisation of cloud infrastructure, the data that cities generate carries immense potential in improving decision making and crashing decision time by orders of magnitude. On this episode of the AI in Automotive Podcast, we talk to Andrew Fleury, CEO of Luna Systems, and Chris Tingley, CEO of EVWare about how their applications of AI can make our cities smarter, safer and more sustainable.
David Hallac, CEO of Viaduct joins the AI in Automotive Podcast to share how his company finds patterns and relationships amongst billions of connected vehicle data points, and delivers two powerful, commercially sound use cases to automotive OEMs. One, it helps automotive OEMs proactively identify and address quality issues, saving hundreds of millions of dollars in warranty costs and recalls. Two, it helps predict failures, call vehicles in for proactive maintenance, and helps bump up up-time - a god-send, especially for fleet customers.
Daniel Langkilde, CEO of Kognic joins the AI in Automotive Podcast to discuss a paradigm shift in delivering autonomous driving at scale. We talk about the current approach of breaking down the problem into perception, prediction and planning, and its limitations. We discuss what future end-to-end approaches based on a ‘common sense’ world model might look like, and why alignment is crucial to solving autonomous driving.
Ben Rathaus, VP of AI and Perception at Arbe Robotics, joins me on the AI in Automotive Podcast to talk all-things-radar. We discuss the history and evolution of radars, their components, and what might create orders of magnitude performance and cost improvements in the future. We also discuss vision-only approaches to AD/ADAS, and why they might be missing a trick without the magic of radar.
Todd Thomas, Chief Revenue Officer at AiDEN Auto, kicks off Season 04 of the AI in Automotive Podcast with a super enlightening conversation about why in-vehicle connected services have not really taken off yet, and why believes that is all about to change. We unearth some amazing insights on what makes the car ready to make the next leap to becoming a modern connected device.
Gary Brotman, CEO of Secondmind, joins me on the AI in Automotive Podcast to talk to us about the role of AI in accelerating the automotive design process. Secondmind’s platform uses the power of AI to help engineers get to the optimal solution to complex multi-dimensional problems in the most time-efficient and resource-efficient manner, accelerating the design process.
In this episode of the AI in Automotive Podcast, Bibhrajit Halder, Founder & CEO of SafeAI joins me to share how the idea of autonomy originated, how it evolved from 1.0 to 2.0, and how it might evolve in the future to 3.0 and 4.0. We also talk about the application of autonomous driving in the mining and construction industries, and how SafeAI is using AI to seriously disrupt the mining industry.
In this episode of the AI in Automotive Podcast, Jorit Schmelzle, co-founder and Chief Product Officer of Peregrine Technologies joins us for a wide-ranging discussion covering topics from sensor fusion, to understanding the automotive perception stack, and how ordinary smartphones can deliver interesting use-cases for the vision and perception stack.
Paul Drysch, CEO of PreAct Technologies joins us on the AI in Automotive Podcast to give us a crash course on LiDARs, their types and flavours. We also talk about what the sensor suite in future cars might look like, and where PreAct’s low-cost, short-range LiDAR fits in.
Marc Bolitho, CEO of Recogni, joins us on the AI in Automotive Podcast to talk about the fundamentals and design process of EE architectures, the limitations of current processors, and how Recogni’s product promises to meet the computational demands of a modern car without breaking a sweat.
Leaf Jiang, CEO of NODAR, joins us on the AI in Automotive Podcast to explain how NODAR’s technology can use a pair of cameras to deliver accurate point clouds with high resolution and precise depth perception, making vision-only self-driving a reality.
Hemant Sikaria, CEO and Co-founder of Sibros, joins the AI in Automotive Podcast to talk about over-the-air updates as the foundation of the software-defined vehicle, and how the technology magically enables our cars to get better over time.
Matt Anderson, SoundHound’s Director of Business Development lays out how SoundHound’s speech-to-meaning technology is able to understand what you are saying, interpret your intent and respond to you intelligently, whilst tapping into a variety of domains.
Anshuman Saxena, Head of AD/ADAS at Qualcomm Technologies joins the AI in Automotive Podcast to share his views on the digital architecture of the modern software-defined vehicle, and how the Snapdragon Ride Platform can help automakers accelerate their AD/ADAS development.
Wejo’s Sarah Larner shares her perspective on V2V, V2X and all things connected car. Sarah helps us make sense of these topics, and shares with us how Wejo’s vast dataset of 20 trillion data points forms the foundation of the automobile’s future.
