Ideas that challenge the default
Perspectives on technology, strategy, and the thinking behind non-obvious solutions.
The Prompt is the Product: Field Lessons in AI-Powered Modernization
With AI coding agents evolving from simple autocomplete to autonomous reasoning engines, enterprise teams face a critical question: Can these tools actually modernize legacy systems at scale? Our field benchmarks - including a 9.5-million-token enterprise monolith - reveal the answer isn't about which tool you choose, but how you wield it.
How to Build Software-Defined Vehicles & Embrace Software-Driven Future of the Automotive Industry
Get to know crucial insights, best practices, and proven solutions automotive enterprises need to leverage on their way to build Software-Defined Vehicles
How to Monetize Vehicle Data Thanks to In-car Technologies
Create a data monetization strategy that understands your consumers’ needs, runs smoothly, and will open new revenue streams for your company
Getting Ready for Software-Defined Mobility: How to Leverage Mobility as a Service (MaaS)
Learn how automotive companies, vehicle rentals, and transport operators can embrace the market shaped by the MaaS model, growing demand for new mobility services, and omnipresent connected car technologies.
Digital Transformation of the Fleet, Lease & Rental Sector: How Software-Defined Vehicles Will Unlock Innovation
Discover how Original Equipment Manufacturers (OEMs) are transforming the aftermarket Fleet Management Services sector by strategically integrating advanced technological solutions.
Android Automotive Operating System Fundamentals: All Things You Need to Know About The Future Of In-Vehicle Infotainment
The IVI software market value is projected to reach $17 billion in 2026, and AAOS is estimated to gain an 18% market share in 2027. Learn how to prepare your business for getting the most out of Android Automotive OS.
Data-Centric Approach: How Data is Steering the Automotive Revolution
The automotive data management market is poised for a significant rise, expected to jump from USD 2.19 billion in 2022 to USD 14.29 billion by 2032. Learn what your company needs to do to leverage new revenue opportunities.
Automotive AI Report: From AI Integration to Customer Trust – Adapting to a Data-Centric Future of Mobility
The automotive AI market is rapidly expanding, set to grow from USD 2.71 billion in 2022 to USD 15.23 billion by 2030. Discover how to capitalize on new revenue opportunities.
The Practitioner’s Guide to Building Your GenAI Chatbot Tailored to Automotive Needs
According to Precedence Research, the market for GenAI in the automotive industry is expected to generate an impressive $2700 million in annual revenue by 2032. Learn how to build a GenAI chatbot and get the most out of these opportunities.
Strategic Solutions with LLM Hubs: Overcoming GenAI Chatbot Barriers in Enterprise
‘Day 2’ has dawned for companies leveraging Generative AI. This phase brings forth the complexities of scaling, evolving, and refining these technologies to meet changing demands and maintain their innovative edge. As we delve deeper, it becomes clear that navigating this next stage is crucial for sustained success and growth.
The Ultimate Guide to Generative AI in Automotive: Applications & Challenges
Learn about the use of Generative AI in the automotive sector. This whitepaper covers industry case studies and delves into the mechanics of GenAI, offering insights into its implementation and impact.
Architecting LLM Hubs: A Guide to Designing GenAI Chatbot Systems
The rise of generative AI within organizations presents a significant challenge: ensuring LLM interoperability and effective communication among various department-specific GenAI chatbots. This is where LLM Hubs become essential.
Accelerate Your Legacy Modernization: A Guide to GenAI-Powered Application Transformation
Despite the average U.S. data breach costing $9.48 million, 66% of enterprises still rely on outdated systems due to financial constraints and a 74% failure rate in modernization projects. Given these challenges, Generative AI emerges as a powerful tool to effectively address these issues.