The Hard Part of AI Starts After the Demo Works

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

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Smart Wearables Challenges

Inside the Engineering Stack – Why Building Smart, Secure Wearables Remains a Hard Engineering Problem

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.

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The Hard Part of AI Starts After the Demo Works

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

Read More »
custom embedded software development
embedded

Building Resilience: How to Secure Embedded Systems

Exploring the crucial strategies necessary to secure embedded systems in today’s connected world, highlighting best practices for threat modeling, secure design, and compliance with emerging regulations.

rinf.tech shares chillventa 2024 takeaways
events

Top 10 Takeaways from Chillventa 2024

Sharing the top highlights from Chillventa 2024, showcasing the innovative strides toward a more sustainable and efficient future in HVAC-R.