TU West Coast AI, Autonomous Driving and Data Driven Program Discount -San Jose, CA

TU-Automotive West Coast (October 3-4, San Jose) involves 200+ executives who will assemble in California to discuss how to apply data-driven technologies and applications such as artificial intelligence to enable intelligent connected and autonomous vehicles. AUTO Connected Car News readers receive a $100 discount. For 2018, TU-Automotive West Coast brings in-depth information on topics including cloud andedge computing, AI, ML, blockchain, data exchange monetization, and data enabled UX.

This year sees senior and specialized speakers from Ford Motor Company, Renault-Nissan, Visteon, DENSO, MOBI, Stanford University and more address how to build a strategy around technologies and services enabled by data.

TU-Automotive West Coast connects attendess to those who make innovation easier and faster , reducing time to market. From the software to the hardware driving it, attendees will meet OEMs, tier ones, developers, engineers, investors, and start-ups under one roof.

Annie Reddaway, Project Director for this year’s conference stated: “TU-Automotive West Coast 2018 provides the perfect opportunity for senior stakeholders from across the value chain working on data analytics and applications for connected, autonomous mobility to learn from subject matter experts and strike up new partnerships.”

She continued, “We will be looking at the process from start to finish, including designing in-vehicle architecture for facilitating data processing, enabling autonomous vehicle functionality and delivering a personalized user experience.”

What to Expect at TU-Automotive West Coast 2018

The conference will feature keynotes, fireside chats and panels on technical, strategic and business questions facing those looking to harness data in to develop better, more intelligent vehicles and mobility. Topics include:

  • The Self-Thinking Vehicle: From perception & decision-making to the UX, employ artificial intelligence & machine learning methods to build contextually intelligent cars
  • Rethink Connectivity: Future vehicles will rely heavily on connectivity & data, but will our connectivity be good enough? Assess the tech & infrastructure, e.g. 5G, needed to deliver
  • Design Around Data: Build an infrastructure & architecture, incl. smart sensors & multi-purpose ECUs, primed for fast & cybersecure data processing (In a machine-friendly format!)
  • Edge & Cloud: Find the balance between vehicle edge computing (i.e. sensor data, critical local processing) for real-time decisions and using advanced data processing on the cloud
  • Data + Scale + Partners = Value! Ditch fragmentation & enable easier data access to build & scale services e.g. parking & UBI that benefit both consumers & cross-industry partners
  • Debunk the Blockchain Hype! Apply decentralized digital ledgers to the auto context to increase transparency & security, plus open opportunities for new services & monetization

Hear from Expert Speakers Such as:

Learn from automakers, tier ones, software companies, mobility providers, government, and more, including:

  • Dragos Maciuca, Technical Director, Ford Research & Innovation Center – Palo Alto
  • Jonathan Salomon, Senior Associate, Renault-Nissan-Mitsubishi
  • Vijay Nadkarni, VP Artificial Intelligence & Augmented Reality, Visteon
  • Reno Marioni, Chief Product Officer, moovel
  • Chris Ballinger, CEO and Founder, MOBI
  • Sudha Jamthe, Autonomous Vehicle Instructor, Stanford University
  • Jill North, Innovation Program Manager, Department of Transportation, City of San Jose
  • Rajiv Phougat, CTO – Automotive, IBM
  • Liz Kerton, President, Autotech Council
  • Chris Abshire, Analyst, Toyota AI Ventures
  • Haris Volos, Senior Research Engineer, DENSO SV R&D
  • Anand Ramesh, Vice President Infrastructure, Renovo Motors

AUTO Connected Car readers registering through this link receive a $100 discount.