Adam Kozłowski
Head of Automotive R&D
Adam Kozłowski is a Solution Architect and Head of Automotive R&D at Grape Up. He had worked as a C/C++ and JavaScript Developer before he started his journey to the Cloud and Machine Learning world. Adam is an active advocate of Kubernetes and open-source cloud-native solutions. He is a huge fan of RnD initiatives, rapid prototyping, MLOps, and building great software products enhanced by ML algorithms. Throughout his career, Adam has been working with established enterprises like Rijkswaterstaat, Porsche, or Allstate to build their mission-critical systems. Currently responsible for consulting automotive projects, specializing in Cloud and MLOps solutions for the automotive industry.
All stories by Adam Kozłowski
From Data to Decisions: The Role of Data Platforms in Automotive
EU Data Regulations Decoded: Expert Solutions for IoT Compliance and Growth
Building EU-Compliant Connected Car Software Under the EU Data Act
How to Make Your Enterprise Data Ready for AI
Choosing the Right Approach: How Generative AI Powers Legacy System Modernization
From Silos to Synergy: How LLM Hubs Facilitate Chatbot Integration
Addressing Data Governance Challenges in Enterprises Through the Use of LLM Hubs
Generative AI in Automotive: How Industry Leaders Drive Transformation
Predictive Maintenance in Automotive Manufacturing
Unveiling the EU Data Act: Automotive Industry Implications
Driving Success in Delivering Innovation for Automotive: Exploring Various Partnership Models
8 In-Vehicle E-Commerce Applications That Pave the Way for a Seamless Drive
How Predictive Maintenance Changes the Automotive Industry
Collaboration Between OEMs and Cloud Service Providers: Driving Future Innovations
6 Strategies for OEMs to Improve Electric Vehicle (EV) Range
Vehicle Data Platform: How to Connect OEMs and Third-Party Service Providers
Dynamic Pricing: How Car Rentals Use Connected Car Data to Increase Revenue
In-Car Infotainment: How to Build Long-Term Relationships and Unlock New Revenue Streams
What’s Next for the Digital Twin
How Automotive Open Source Technologies Accelerate Software Development in the Automotive Industry
V2X: What Needs to Be Done to Accelerate the Implementation
How New Mobility Services Change the Automotive Industry
What’s New in the Truck Industry
Software-Defined Vehicle and Fleet Management
Cloud Solutions and AI Software to Serve the Transport in Cities of the Future
Predictive Transport Model and Automotive. How Can Smart Cities Use Data from Connected Vehicles?
Mood Focused Car Enhancement – Driving Experience Coupled with Technological Sense
Parking Is Plain Sailing… Provided That Your Car Is Equipped with Automated Valet Parking
Not Only the Self-driving Vehicles: 9 Use Cases of AI in Transportation
Digital Twin Factory in the Automotive Industry – So the Future is Happening Today
Developing Software for Connected Cars – Common Challenges and How to Tackle Them
Over-The-Air Upgrade: How to Develop the Concept Successfully
How Porsche Developed a Digital Twin to Win the Race for the Virtual Car Concept
How OEMs Can Leverage Subscription Business Model
How to Simplify the Process of Building Production-ready AI Services and Reduce the Time for Resource Management in the Automotive Industry?
What Trends Will Set the Course of Change in the Automotive Industry for 2022
What is Automotive Software and Why Does It Matter?
Beyond Spotify and Netflix- the Future of In-Vehicle Infotainment Systems in Connected Cars
Focus On the Driver – Data Monetization at Software-Defined Vehicle Cannot Exist Without Understanding Customer Needs
The Next Step for Digital Twin – Virtual World
IoT SaaS – Why Automotive Industry Should Care, and Which AWS IoT or Azure IoT is Better to Use as a Base Platform For Connected Vehicle Development
Cybersecurity Meets Automotive Business
How to Monetize Car Data – 3 Strategies for Companies and 28 Practical Use Cases
Machine Learning at the Edge – Federated Learning in the Automotive Industry
8 Examples of How AI Drives the Automotive Industry
The Future of Autonomous Driving Connectivity – Quantum Entanglement or 6G?
How to Achieve Sustainable Mobility Using Sustainable Software Development
Automotive Tech Week Megatrends: Key Takeaways
Connected Car: Challenges and Opportunities for the Automotive Industry
Whose Cluster Is It Anyway?
Common Kubernetes Failures at Scale
Kubernetes Cluster Management: Size and Resources
What Is an Exit Strategy And Why Do You Need One?
Yet Another Look at Cloud-Native Apps Architecture
Key Takeaways from SpringOne Platform by Pivotal 2018
3 Questions to Adam Kozłowski, Software Engineer at Grape Up
