Everyone Wants AI, but Data Orchestration Comes First Enterprise AI conversations often start in the wrong place. They focus on models, talent, or investment levels, as if the remaining challenge were technical sophistication. In practice, many organizations already operate capable AI systems, supported by modern infrastructure and serious budgets. What
Legacy database models can no longer keep up with fintech’s real-time demands. A Log-First Architecture redefines data management — turning transactions into a living, auditable history that fuels agility, transparency, and innovation across financial systems.
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.
Everyone Wants AI, but Data Orchestration Comes First Enterprise AI conversations often start in the wrong place. They focus on models, talent, or investment levels, as if the remaining challenge were technical sophistication. In practice, many organizations already operate capable AI systems, supported by modern infrastructure and serious budgets. What
Securing the AIoT Ecosystem explores how cutting‑edge semiconductors bring edge AI, energy efficiency, and hardware‑rooted security to large‑scale device management.
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.
Providing a comprehensive overview of application recoding, highlighting its significance and benefits.
Exploring how the key industrial IoT trends are poised to transform the future across multiple industries.
Exploring the concept and capabilities of multimodal AI, and its transformative impact across various industries.
From training and maintenance to collaborative problem-solving and inventory management, AR is set to revolutionize how industries operate.
Exploring the pivotal role of R&D in driving innovation and digital transformation within embedded engineering.
Offering a comprehensive roadmap for businesses to navigate the complex landscape of AI ethics and responsibly enhance their decision-making processes.
Exploring the top 10 factors shaping the future of automotive cybersecurity.
Delving into the engaging world of Generative AI and its potential to transform industries such as Automotive, Fintech, Retail, Healthcare, Manufacturing, Industry 4.0, and Media & Entertainment.
Exploring the benefits and challenges of implementing localized AI models in financial services, highlighting their transformative impact on the industry.