AWS Automotive Symposium

Accelerating Automotive Innovation with AI

June 26, 2024 | Motorworld
Am Ausbesserungswerk 8 80939 München

AWS Automotive Symposium

Opening Keynote

Automotive companies are looking to use their data and cloud technologies to reinvent their businesses, optimize operations, accelerate time to market, and generate new revenue streams. Join this keynote to hear from executive speakers from Siemens, Salesforce, and AWS to learn more about how cloud, AI, and Generative AI innovations are driving business outcomes across both the customer and vehicle journeys.

Ozgur Tohumcu photo

Ozgur Tohumcu
Director, Automotive & Manufacturing Sales
AWS

Jeff Carter photo

Jeff Carter
VP, Databases & Migration Services
AWS

Matt Nuffort photo

Matt Nuffort
Director, Amazon Vehicles
Amazon

Rolf Heinsohn photo

Rolf Heinsohn
Vice President, Factory Automation Control
Siemens

Matthew Simpkins photo

Matthew Simpkins
Vice President, Industry Advisor, Automotive
Salesforce

Content Track Themes

Scaling Vehicle Design & Development

Discover how OEMs and suppliers from across the value chain are streamlining product design and accelerating product development in the software-defined vehicle with cloud-native services, virtualized hardware, and AI.

From product design, to vehicle software development, to autonomous driving simulations, customers will learn about the transformational advancements that cloud is enabling.

Improving Operational Efficiency

Learn how the latest developments in IoT, machine learning and generative AI are enabling manufacturers across the automotive value chain to get more value out of data, improve overall equipment effectiveness, manage complex supply chains, support labor workforce, and lower costs. 

Enhancing The Customer Experience

From pre-sales to customer service, explore how organizations are utilizing data and generative AI to create information-rich, personalized experiences across the full customer lifecycle.

Discover how organizations are implementing generative AI to develop new and engaging experiences, including voice assistant, AI chatbot, and customer service use cases

Agenda

Automotive Symposium Agenda
Scaling Vehicle Design & Development:
An AI Foundation For Continuous Development, Validation, and Deployment

Product transformations and customer experience expectations are driving engineering and development processes from traditional develop, validate, release, and repeat processes to continual development, validation, and release.  In this session, we will outline how organizations embarking on this transition can leverage the same DEVOPS based processes and methodologies used in software development to improve the overall product system. Learn how artificial intelligence (AI), generative AI (GenAI) and machine learning (ML) can help your organization to transform from serial product release cycles to DEVOPS product systems.  

Kevin Baughey
Global Solutions Leader, Product Engineering & Design

Karen Langona
Director of Business Development, AWS Automotive & Manufacturing


Accelerated Software Engineering with Generative AI-Driven Workflows: Boost Productivity, Improve Quality, and Accelerate Time-to-Market

Vehicle software developers must navigate the complex and time-consuming tasks of integrating with multiple hardware components and subsystems, complying with industry standards and various local regulations, and continuously adapting to evolving technologies that power IVI, automated driving, and connected services. In this session, we will introduce how generative AI can provide unparalleled new efficiencies, assisting developers with evaluating and summarizing software requirements, generating and implementing requirement-specific code, and verifying and validating that the requirements are implemented correctly. Learn how generative AI can help streamline end-to-end workflows, improve software quality, and accelerate the development of new software-driven features.

Stefano Marzani
Worldwide Technology Leader, SDV

Andrea Ketzer
Director, Technology Strategy, AWS


Scalable ADAS Development with AI: Build it Once, Deploy for Generations

From data ingestion through simulation and verification, discover how a cloud platform approach can help streamline and accelerate ADAS and autonomous driving development. In this session, we will highlight the long-term benefits that cloud infrastructure and Generative AI services provide, including simplified tool chain integration accelerated scene search, synthetic scenario generation, and scaled re-usability across programs. Together with AWS, your global teams can focus on the benefits of efficient development, instead of the heavy lift of building and managing a complex data strategy for autonomous driving development.

Vineeth Venkiteswaran
Global Solutions Leader, Autonomous Mobility


Generating Value With Connected Mobility: Personalized User Experiences With Generative AI

Discover how AWS is helping automakers to unlock the value of vehicle data to deliver new features and services that personalize the driving experience.  In this session, we will introduce how generative AI-powered smart vehicle companions can tailor navigation and travel recommendations directly to individual user preferences. This presentation will delve into the innovative use of real-time data and AI analytics to improve route planning and enhance user engagement through personalized suggestions for charging, dining, and points of interest. The session will highlight the transformative potential of this AI-driven approach, illustrating its capacity to redefine personalized travel experiences in the automotive industry.

Marco Massara
Business Development Principal Manager, AWS

Andrei Iordache
Director Automotive Industry Solutions, HERE Technologies

Improving Operational Efficiency:
Software Defined Factories For Manufacturing Operations, Enabled by AWS

As one of Europe’s leading producers of sustainable battery solutions, Northvolt uses AWS for its “Platform” initiative, which includes its Connected Factory and Battery Systems cloud platforms, as well as hosting their PLM system. In this session, discover how Northvolt’s factory blueprint harnesses technology, data, and automation across their factory operations (such as production lines, IT, etc.) to enable a “factory as code” solution to speed the deployment of new facilities as they rapidly expand. Learn how Northvolt uses advanced analytics, simulation techniques, and applied AI to improve production operations using AWS services and solutions while reducing time to market.

Karthik Krishnamurthy
Global Strategy & Business Development Leader, Smart Manufacturing


Using Advanced Analytics To Improve Your Manufacturing Supply Chain

Discover how to reinvent your supply chains by harnessing the power of advanced analytics and optimization techniques on AWS. Learn how services like AWS Supply Chain and an ML-powered supply chain with advanced analytics can foster transparency, and data-driven decision-making to help mitigate risks and lower costs for improved supply chain agility.

Doug Bellin
Global Business Development, Manufacturing


Sustainable Manufacturing - Simplifying Sustainability Data Collection And Management

Manufacturers often require multiple sustainability data sources to fulfill compliance, regulatory reporting obligations, and conduct life cycle assessments of their products. However, managing these disparate data sources can be challenging due to varying formats and a largely manual processes. Discover how to streamline this data collection and management using an open, scalable, and modular data framework that seamlessly integrates in-house, and third-party solutions. The session will also cover integration with Amazon Q, a generative AI-powered assistant, to help generate valuable sustainability insights.

Hari Gopalakrishna
Global Strategy Leader, Sustainability and EV


From Machine, To Machine, As a Service

Heidelberger Druckmaschinen, a leader in industrial printing for over 150 years, is pioneering the transition to service-oriented business models with new equipment-as-a-service offerings for their customers. In this session, learn how they built cloud-native solutions on AWS that connected 10,000+ machines globally in only 14 months, providing new data-driven services to their customers. Hear how modernizing from on-premises software to the cloud, a serverless-first strategy, and an AI-enabled future roadmap are driving faster software delivery for Heidelberger Druckmaschinen—helping their customers reduce overall cost of operations with a completely digitalized order life cycle and improved machine efficiency.

Joseph Rosing
Head of GTM Scaling, Automotive & Manufacturing

Enhancing The Customer Experience:
Help Customers Find The Perfect Product With Generative AI

Generative AI is transforming the ways customers engage and shop online. In this session, learn how AWS can help create immersive, personalized customer pre-sales experiences that include Generative AI-powered digital sales assistants, virtual test drives, web-based 3D car configurators, and virtual reality. Redefine how you engage with your customers to help them find the perfect product.   

Rob Wunsche
Global Solutions Leader, Digital Customer Experience


Revolutionizing Digital Retail: Building Seamless Automotive Commerce Solutions

Discover how AWS cloud services and partners can help create personalized, multi-channel, digital retail experiences that enhance direct-to-consumer sales for the automotive industry. This session will cover strategies for personalizing the vehicle journey, utilizing AI for secure, frictionless, payments and automated loan document processing, and deploying connected toolsets for real-time dealer interactions. We'll show how AWS and partners are pioneering solutions to meet evolving consumer expectations, streamline the purchasing process, and safeguard privacy and security to show what the future of automotive retail looks like for improved customer engagement and conversion.

Jordan Tauriainen
Partner Strategy Leader, Digital Customer Experience


Conquering Enterprise Data Fragmentation: Elevating Vehicle and Customer Experiences to New Heights

Imagine a world where data flows seamlessly across your enterprise, transcending the boundaries of organizational silos. In this session, we'll unveil an innovative approach that harnesses the power of data mesh and hubs, transforming fragmented data into a cohesive and intelligent entity. With cutting-edge, Generative BI tools at your fingertips, you'll unlock the potential to rapidly uncover insights and take immediate business actions, propelling your organization to new heights of data-driven success.

Thad Dungan
Global Business Development, Digital Customer Experience

Houssam Hamad
Sr Analytics Solution Architect


The Future of LLMs and Voice Inside the Vehicle

LLMs will contribute to the acceleration of voice assistants' ease of use and customer value. Learn how Amazon's Alexa Custom Assistant including large language model technology, designed specifically for the automotive environment, can provide effortless voice interaction to customers while they're on the go - allowing car companies to develop their own voice CX including wake word and other unique branding elements.

Lena Gogeissl
Head of Partner Marketing Amazon Smart Vehicles

 

Round Table Sessions

The event will feature an afternoon of interactive, expert-led round tables where attendees can engage in peer-to-peer discussions aligned to the topical themes with in each content track. The moderator will introduce the topic and help facilitate discussion among participants to share insights, challenges, and jointly gain new perspectives. Attendees will find the assigned round tables for each of the three sessions printed on their badges based on the areas of interest selected during the registration process. 

  • Artificial intelligence (AI), generative AI (GenAI) and machine learning (ML) are transforming the products being developed, but are they ready to transform the processes used to develop them? Smarter products, innovative power systems, connected mobility, and many other innovations are challenging the status quo in development methods. This roundtable discussion will focus on the development process innovations needed to accelerate the next generation of products, technologies, and services.  

  • Automakers, supply chain partners, and software suppliers are leveraging the power of the cloud to enable the paradigm shift needed to scale and accelerate software development cycles, greatly reducing the longstanding dependencies on hardware availability for software testing and validation. In this roundtable, we'll outline and discuss how the addition of Generative AI within end-to-end workflows can provide next-level gains in developer productivity, efficiency, and quality.

  • Industry collaboration is critical to developing future complex automotive systems in the software defined era. Delivering on the promise of software-defined vehicles to improve time to market and new business models can benefit organizations across the automotive software value chain. In this roundtable, we will discuss key challenges to scaling software defined vehicle platform development, outline how virtualized hardware and cloud-native tools help address those challenges, and propose new opportunities for industry collaboration to further accelerate vehicle software development.

  • Artificial intelligence (AI) and generative AI (GenAI) are revolutionizing the automotive industry. In this peer-to-peer roundtable, we'll discuss how and where this transformative technology is being implemented and used within the ADAS and autonomous driving data driven  development process, and more importantly, how it is translating to positive business outcomes.

  • Automakers are delivering on the promise of software-defined vehicles, utilizing connected mobility platforms and vehicle data to develop and deploy personalized features that enhance the in-vehicle experience. In this round table we will look 5-10 years into the future, outline the new set of data and V2x challenges, and discuss how connected mobility platforms will need to evolve to ensure next-generation vehicle platforms deliver always-on experiences.

  • The experience of driving an electric vehicle (EV) notably contrasts with that of an internal combustion engine (ICE) vehicle. Factors such as range and refueling, once overlooked by traditional drivers, are now pivotal considerations for EV adoption. In this round table, we will explore the pivotal role of data in enhancing the EV driving and charging experiences.

  • Manufacturers recognize that they have a wealth of data across the factory floor that can help unlock operational efficiencies. They are faced with the complex challenge of accessing, organizing and contextualizing data across legacy and disparate IT and OT systems at scale to generate real-time actionable insights. In this round table, join peers from across the industry to first outline the challenges and barriers being faced in achieving this at scale, then share how your organization is using data and advanced analytics (AI, ML and Generative AI) to connect the factory but also control the factory with data driven decisions and workflows.  

  • Supply Chain issues continues to be a problem for the manufacturing industry. With many different regulations that are occuring around the world that are affecting Carbon Tracking reporting, could this same data be used to understand where potential supply chain disruptions may occur, giving you visibility to issues before they potentially occur. While it comes down to the data, the key is how this data is securely shared and ultimately used. What are the barriers you are seeing in this space and how have you solved any of these.

  • Meeting compliance and regulatory reporting requirements necessitates data aggregation from diverse sources. This round table aims to explore effective strategies for tracking data across various use cases, including ESG reporting, Product Carbon Footprint, Digital Product Passport, etc., with a focus on leveraging them to drive business value.

  • As manufacturers drive continuous improvement in production operations, results can be magnified by combining traditional methodologies, such as Lean Six Sigma, with new technologies, such as artificial intelligence and connected machines. In this session, we will discuss best practices for integrating the cloud-based "tools in the toolbox" to increase the speed of continuous improvement and leveraging automation to sustain results.

  • The digital transformation of the automotive industry is reshaping the way consumers purchase vehicles. This roundtable discussion will explore the opportunities and challenges presented to deliver customer-centric, multi-channel, digital retail experiences powered by cloud technologies. Key topics include: personalization strategies using AI and data analytics, frictionless payments and loan processing solutions, real-time dealer interactions, privacy and security considerations in the digital retail environment, and emerging trends for automotive commerce. Join industry experts to discuss how cutting-edge solution can drive customer satisfaction, streamline operations, and keep you ahead of this rapidly evolving industry.

  • This roundtable discussion will explore the transformative impact of Generative AI and immersive technologies like AR/VR in the automotive pre-sales process. Participants will discuss how AI-powered tools, digital sales assistants, and rapid content creation enable personalized customer experiences. The role of digital showrooms, 3D configurators, and virtual test drives in elevating the pre-sales journey will also be examined. Participants will gain insights into deploying these transformative generative AI technologies to enhance the pre-sales journey by better engaging, informing, and guiding prospective car buyers.

  • In the era of data abundance, businesses are drowning in information but starving for insights. Generative AI and AWS native solutions promise to help democratize data access and empower non-technical users to leverage the power of data and AI without coding skills. Join us as we discuss the transformative power of no-code solutions, enabling seamless data ingestion, processing, governance, and visualization across the enterprise. Consider how cloud services and features are breaking down silos, fostering cross-team collaboration, and empowering data-driven storytelling and decision-making.

  • LLMs will disrupt the voice experience and bring voice assistant value for customers to the next level. In this panel, we will discuss about the automotive-specific requirements for LLM-based voice products. What are the obstacles hindering implementation from a technological and from a commercial perspective? Listen in to leading voice and digital cabin experts discussing what is needed to bring GenAI into the customer cockpit.

  • As Generative AI ignites innovation within automotive and manufacturing, organizations are seeking tools and answers to help drive requirements around generative AI governance, compliance, legal, privacy, threat mitigations, resiliency, and more. In this round table, we discuss the types of generative AI solution patterns, unique security considerations, and security practices that can be leveraged to support responsible adoption of Generative AI while enabling your business to move at an ever-increasing pace.

  • This round table will focus on the changing automotive regulatory landscape, including increasing regulations related to data privacy, automotive cybersecurity, AI, etc.  We will first outline some of the use-cases and challenges being faced, then discuss how we can best collaborate to help address the changing regulatory landscape to drive new efficiencies within the automotive industry.

Panel Session

Industry Perspectives: Generative AI Adoption in Automotive

The automotive industry stands at the cusp of a transformative era, driven by Generative AI innovations. This panel brings together leaders who are pioneering adoption of Generative AI across their organizations to accelerate innovation in vehicle development, autonomous driving, customer experience, and enterprise operations.  Panelists will introduce the strategic approaches they have taken to employ Generative AI, discuss adoption challenges, highlight positive business outcomes, and provide insights on the opportunities and risks that lie ahead.