Learn How to Leverage Revolutionary Generative AI Technology, While Ensuring Data is Generated, Organised, Managed, and Used Safely & Securely
11th - 13th February 2025
| Munich, Germany
Registration Open - Super Early Bird Ends 15th November 2024
Secure your place at the lowest rate. For Group Discounts, contact the team at enquire@automotive-iq.com.
After countless conversations with leading OEM & Tier-1 companies, Automotive IQ proudly announces the sister brand to the Generative AI for Automotive conference, focusing exclusively on data management; recognising that companies are beginning to see data security and privacy as a differentiator today and will do even more in the future. This razor-focused event is an essential meeting place for automotive professionals that are accessing and managing more data than ever before from different sources, both internally and externally.
The significance of Generative AI is growing. It is enabling automotive companies to address the data generation issue and reduce the cost of data capture while opening up the possibility of discovering previously unexplored scenarios. The data security topic is red-hot – Two questions are front and centre of expert minds; ‘At what cost does data come to the user?’ and ‘How much privacy does the user have to sacrifice to achieve good results with Generative AI?’. With no regulation or protocol currently in place for Generative AI, it is at the discretion of any individual organisation and its policies how they organise and use data.
How the industry structures mission-critical data is going to be critical to accessing it for central applications and transacting information efficiently. But with data governance and identifying the best way to classify or categorise data to reduce the risk of exposing highly confidential data to unchartered territory, this is another major industry challenge.
Attend the region’s only Data Management for Generative AI in Automotive conference, razor-focused on leveraging this revolutionary technology and ensuring data is generated, organised, managed and used safely and securely.
To download the programme, click the button below or email the Automotive IQ team on enquire@automotive-iq.com and we'll be in touch.
Kiera Jansen
Project Lead - Automotive IQ
Kiera Jansen
Project Lead - Automotive IQ
Explore Agenda Themes By Topic Area
- Data Privacy & Security
- Data Generation, Usage & Organisation
- Data Testing, Labelling & Annotation
- Regulatory Compliance & The EU AI Act
- Training & Customising Large Language Models
C0-Located with
Use Cases of Generative AI for Automotive
An opportunity to learn & network twice as much in 2025
Data Management for Generative AI in Automotive 2025 Expert Speakers
Including Representation from Leading European & Asian OEMs
Check back for new speakers weekly
Cristina Cojocaru
Head of Data Protection and Privacy
ZEEKR Europe
Christopher Plachetka
Technical Program Manager
Volkswagen Group
Daniele Sirigatti
Innovation Manager Design Exterior - AI Lead
AUDI AG
Pierfrancesco Rizzo
Head of AI Lab
IVECO Group
Julia Reznitcaia
Project Manager, EU Data Act
Mercedes-Benz AG
James Antony John
Generative AI & Innovation Leader
Nissan Motor Corporation
Masoom Kumar
Team lead – Advance Analytics [at Powertrain Strategic Development]
Volvo Group Trucks Technology
Magnus Gille
Product Owner, AI Enablement
Scania Group
Matthias Zeller
PhD Candidate in Deep Learning
CARIAD
Avinash Shankar
Senior Program Manager
Mercedes-Benz Research & Development India
Sanjana K G
Senior Data Scientist
Continental
Antonyo Musabini
R&I Technical Leader
Valeo
Martina Flatscher
Strategist Artificial Intelligence
ZF Group
Mert Keser
ML/DL Researcher
Continental
Christian Piovano
Lawyer
ZF Group
Duygu Yagci Dogan
IT Sales & Mobility Solutions Value Stream Manager
TOFAŞ Türk Otomobil Fabrikası A.Ş.
Beatriz Minamy
Internet of things (IoT) - Automotive Research Practice Lead
S&P Global
Diego Collarana
Group Lead Knowledge-Enhanced LLMs
Fraunhofer FIT
Johannes Betz
Professor
Technische Universitat Munchen
Paolo Sasdelli
Regulatory and Public Affairs Advisor
Bird & Bird
An Essential Meeting Place For Automotive Professionals That Are
Accessing and Managing More Data Than Ever Before
Utilising Generative AI To Address The Data Generation Issue and Reduce The Cost of Data Capture
Data Security and How To Organise and Use Data
How the Industry Can Structure Mission-Critical Data
Effective Data Governance in Automotive
Previous Event Series Partners
To discuss partnership/exhibition opportunities, contact partner@automotive-iq.com
Interested in Becoming a Valued Event Partner?
The Data Management for Generative AI in Automotive conference enables solution providers to meet their target customers, grow their brand strength, and position themselves as a thought leader in the generative AI and data management space.
The 2025 event will bring together key decision makers from OEM and Tier-1 companies who are looking to gain insight into the developments & trends of Generative AI within the automotive space, and understand how to improve data management with increasing data demands for AI applications.
To find out more about how we can connect you with industry leaders, email us at partner@automotive-iq.com or click the button below.
The 2025 event will bring together key decision makers from OEM and Tier-1 companies who are looking to gain insight into the developments & trends of Generative AI within the automotive space, and understand how to improve data management with increasing data demands for AI applications.
To find out more about how we can connect you with industry leaders, email us at partner@automotive-iq.com or click the button below.
CONTACT US
The Data Management For Generative AI in Automotive 2025 conference will bring together data and AI experts, from across the automotive value chain, to Munich, Germany, in February 2025. To find out more, or for any questions, please contact us below:
In Partnership With :
QUESTIONS?
Address: IQPC Ltd, 129 Wilton Road,
London SW1V 1JZ
Telephone: 44 (0) 207 368 9300
Fax: 44 (0) 207 368 9301
Email: enquire@iqpc.co.uk
©2024 IQPC. All rights reserved.
