Adam Kozłowski

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



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


Native Bindings for JavaScript – Why Should I Care?