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May 16
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9:00am - 9:20am 20 mins
Chairs Welcome and Opening Remarks
  • Eric Totaro - Senior Automotive Analyst, Euromonitor
9:20am - 9:40am 20 mins
User Enterprise
  • Amer Akhtar - COO and Head of XPT US, XPT

Who will be left behind? The trend from product sales to mobility-as-a-service will present significant opportunities for auto industry disruption from non-traditional players such as Tesla, NIO and Uber over the next decade.

  • Transition from Product to Service Model. Certain factors, such as user demand shift, government intervention, technology over manufacturing prowess, electrification and autonomous drive systems have led a change in mobility opportunities.

  • Prioritized Markets. All markets are not created equal. A geographic focused approach will define the best product to market fit. One must consider trends such as urbanization, sustainability, and a government's declared intention to address mobility requirements.

  • Novel Business Models. Mobility-as-a-service transcends traditional product sales. The ingredients for a fully formed strategy may include car share, ride share, delivery services and power-as-a-service, to name a few.
9:40am - 10:00am 20 mins
Building Automotive Security From the Inside Out
  • Chuck Brokish - Director of Automotive Business Development, Green Hills Software

Many cybersecurity techniques focus on securing the perimeter of critical computer systems, and recovering in the event of failure. In this talk we’ll take a new perspective on building safe and secure systems.

10:00am - 10:40am 40 mins
Disrupt or Be Disrupted - Auto Tech Investment Panel
  • Moderator Anselm Adams - Director, PECA
  • Panelist Dennis Liu - Associate Director – Global Strategy & Business Development, Ford Motor Company
  • Panelist Paul Asel - Managing Partner, NGP Capital
  • Panelist Anil Rachakonda - Director - Coop Startup Programme, Continental Corporation

The automotive start-up scene, symbolized by the Silicon Valley, is booming. But how can you spot the unicorn that will disrupt the space beyond recognition?

  • Bridge the gap between the different lifecycles of auto (slow) & start-up (fast) to invest/incubate effectively and capitalize on the next biggest disruptive tech
  • Incorporate start-ups into your growth strategy by distinguishing which innovative concepts you want to integrate and which tech. resources can fill a gap in your current product suite
  • OEMs and their partners are taking start-up gambles - identify the investment trends to decipher the: Who, what, why?
10:40am - 11:40am 60 mins
Networking Break
11:40am - 12:00pm 20 mins
Fireside Chat: The Ethics Behind AI
  • Moderator Scott Belcher - President, SFB Consulting
  • Panelist John Delaney - Congressman - Head of the AI Caucus (Officially Invited), US House of Representatives

Join Scott Belcher, former CEO of both ITS America and the Telecommunications Industry Association, as he discusses the future of Artificial Intelligence with Congressman John Delaney (D-Md). Congressman Delaney is the Founder and Co-Chair of the U.S. House of Representatives Artificial Intelligence Caucus.

  • Understand the current activities in Congress and the AI Caucus to incentivize the proper use of Artificial Intelligence within the public and private spheres
  • Get to grips with how the United States government is making sure it remains in the forefront of the development and implications of this very important and disruptive technology
  • Grapple with how we can insure the proper and ethical use of Artificial intelligence making sure that individual privacy is protected
12:00pm - 12:20pm 20 mins
Re-Defining Automotive Luxury
  • Francesco Zappacosta - Managing Director, Pagani Automobili

Auto tech innovation usually trickled down from premium segments. Connected cars disrupted that model. Autonomy and shared mobility may catch out luxury OEMs again, unless they re-define themselves and their customer experience.

  • Understand the opportunities to transform automotive luxury beyond features and technologies, and into new experiences as part of the mobility world
  • Watch video interviews with premium and luxury car buyers, and what matters to them (and what doesn’t) when choosing a brand or model
  • Hear first-hand from the big names in the luxury auto market on their visions for future driving luxury
12:20pm - 12:40pm 20 mins
Sense and Sensor-ability

Sensor technology has grown exponentially over the last few years. But there is still a lot of fine tuning to be done.

  • The sensor showdown – compare and contrast the different attributes of sensor subsets (i.e. LIDAR, camera, radar, stereoscopic) to help you craft the perfect sensor suite
  • Smart vs Dumb: discuss the pros and cons of smart sensors (i.e. on-board analytics, merged with other smart sensors data) against dumb sensors (i.e. central processing)
  • Enhance sensor fusion with AI to create a complete picture around the vehicle. How can we bring all the data together from all the various sensors in the vehicle?
12:40pm - 1:40pm 60 mins
Lunch & Networking Break
1:40pm - 2:00pm 20 mins
Successfully Commercializing Connected Commercial Vehicles
  • Fredrik Callenryd - Head of Strategies & Product planning for Connected Services, Scania
  • Get to grips with tow to successfully monetize a connected product and build a successful eco system around commercial vehicles
  • Discover the journey of one of the leading commercial OEMs from telematics for the selected few to services for all vehicle users
2:00pm - 2:20pm 20 mins
Human and Machine Sharing the Wheel

We are still far from level 5 autonomy but we are on the verge of humans and machine sharing the wheel with the machine. How can this be rolled out safely?

  • Debate the takeover time necessary for levels 3-4 automation when vehicle and human shares the control of the vehicle. Is it time to set standards?
  • Integrate algorithms and detect human awareness (i.e. facial recognition software)   to make sure the person is always aware and ready to take over when needs be
  • How much testing or how many miles is enough? Discuss the test centers capabilities and how to validate for every situation and circumstance
2:20pm - 3:00pm 40 mins
Smart Cities and the Autonomous Vehicle
  • Moderator Mike Harrigan - Senior Program Manager, PSV
  • Panelist Ryan Snyder - Principal, Transpogroup
  • Panelist Cletus Nunes - Director of Sales, Octo Telematics North America
3:00pm - 4:00pm 60 mins
Networking Break
4:00pm - 4:20pm 20 mins
ADASMark: Evaluating the Performance of ADAS Heterogeneous Compute Architectures
  • Peter Torelli - President, EEMBC

The sudden popularity of ADAS has driven a surge of demand for high-performance CPU and GPU hardware in automobiles, creating problems for Tier 1 manufacturers and OEMs. 

  • What is the best way to balance cost and design complexity against this enormous need for compute power never before seen in conventional cars?
  • Discuss how to provide benchmarks and analysis tools for systems like these, and analyze the ubiquitous ADAS task: real-time image classification.
  • Get to grips with image processing and CNN classification elements which can be arranged in a directed acyclic graph (DAG) to characterize the performance of heterogeneous architectures seen in many ADAS platforms
4:20pm - 4:40pm 20 mins
Insuring the Autonomous Car

The technology for autonomous vehicles is being tested and on the verge of being ready. But the industry needs to set out the insurance roadmap before any car can hit the road.

  • Understand the autonomous vehicles and liability. Who will be liable for a crash of a full autonomous vehicle? The OEM, the insurance carrier or the consumer?
  • Discuss the grey area of liability during the level 3-4 of autonomy where human and machine share the wheel.
  • Don’t repair, replace: Get to grips with the complexity of repairs for automated vehicles (i.e. calibration of sensors) and how a culture of replacement is effecting the bottom line of insurers.
4:40pm - 5:00pm 20 mins
Processing Power and Algorithms
  • Bhaskar Krishnamachari - Professor, Electrical Engineering, USC

Autonomous vehicles (level 5) will produce a phenomenal amount of data. The industry needs to find the best ways of storing, processing and analyzing these data sets.

  • On Board vs Edge vs Cloud -Debate where the processing should happen and work out where each data sets need to be stored in order of importance
  • Develop algorithms to overcome distortion of perception for both inside(i.e. facial recognition) and outside the vehicle (i.e. overcoming weather distortion)
  • How can we reduce the cost of chips? Overcome the cost barrier by creating a cost effective chip sets which meets the needs of the autonomous vehicle
5:00pm - 6:00pm 60 mins
Connected & Autonomous Vehicles Networking Party