The Hard Part of AI Starts After the Demo Works Enterprise investment in artificial intelligence continues to accelerate. Recent McKinsey surveys show that more than 90% of large organizations plan to increase AI spending, often significantly. At the same time, fewer than 1% of enterprises describe themselves as AI-mature, meaning
This article explains the technical realities of building AI-ready wearable devices by orchestrating three constraints – power, latency, and trust – through edge/on-device AI, disciplined power budgeting, and secure-by-design updates. It clarifies why many wearables PoCs stall and offers an in-depth investigation into challenges hindering product advancement, finally scanning predictions and emerging trends in the wearables market.
Securing the AIoT Ecosystem explores how cutting‑edge semiconductors bring edge AI, energy efficiency, and hardware‑rooted security to large‑scale device management.
The Hard Part of AI Starts After the Demo Works Enterprise investment in artificial intelligence continues to accelerate. Recent McKinsey surveys show that more than 90% of large organizations plan to increase AI spending, often significantly. At the same time, fewer than 1% of enterprises describe themselves as AI-mature, meaning
We are proud to announce that rinf.tech has officially joined the Connected Vehicle Systems Alliance (COVESA). This milestone reinforces our commitment to open standards, cross-industry collaboration, and advancing software-defined vehicle technologies within the global automotive ecosystem.
Carmen Kolcsár, CTO at rinf.tech, has been named one of Business Magazin’s Top 100 Most Powerful Women in Business for 2025. Discover her vision, values, and leadership journey in this exclusive interview-style feature.
When should businesses consider legacy application modernization, what benefits can an application modernization strategy bring, what alternatives to consider, and how to approach a modernization project.
Exploring how IoT technologies can revolutionize our approach to safeguarding the planet and ensuring a sustainable future.
Delving into digital healthcare, showcasing the tangible benefits IoT brings to the healthcare sector, from enhancing patient engagement and monitoring to optimizing supply chains and operational workflows.
Demystifying the concept of data modernization, laying out a comprehensive roadmap for businesses embarking on this transformative journey.
Revealing groundbreaking partnerships, state-of-the-art technologies, and visionary insights from the “Woodstock of AI” by NVIDIA.
Delving into the myriad possibilities that AI introduces for augmenting the functionalities of Software Defined Vehicles (SDVs), alongside the crucial challenges that need to be resolved.
Delving into the multifaceted costs of GenAI projects, uncovering not just the obvious expenses but also hidden ones, alongside strategic considerations for businesses.
Examining AI’s diverse effects on finance, delving into its advantages and obstacles, aiming to understand its transformative influence and future impact on the sector.
Introducing Rinf.tech Academy mentors who drive our mentorship efforts within a Technology Learning Track.