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.
This article provides a clear and practical introduction to MLOps, outlining step-by-step instructions for integrating it into your organization. We’ll also unpack helpful tips you can apply immediately to optimize your ML pipelines and boost overall performance.
Exploring different data acts shaping the emerging data and AI landscape across countries.
How AI and ML enhance LiDAR technology by overcoming data processing challenges, enabling advanced applications in autonomous systems, robotics, and 3D mapping, and more.
Discover how IoT is transforming traditional farming through key innovations, real-world success stories, and future trends that are shaping the agricultural sector.
Straight from the source: diving into the most captivating and forward-thinking highlights from CES 2025, directly witnessed and experienced by our team.
Offering insights into how the latest AI advancements will impact consumers, manufacturers, and the broader environment in 2025 and beyond.
Exploring the key technology trends expected to dominate in 2025, offering insights into how they will impact various sectors and shape the years to come.
Delving into Physical AI’s main technologies, transformative applications, and implications for a smarter, more connected future.
Examining the challenges of data black holes and providing a practical tips for organizations seeking to harness the full potential of their data ecosystems.