Understand modern technology better and get the most out of your software development endeavors with our mix of articles, trends recaps, expert tips, and industry insights.
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
The Biggest Data Privacy Risk in 2026 Comes From Helpful Employees As AI becomes a daily productivity tool, data privacy risk is increasingly created inside
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.
Securing the AIoT Ecosystem explores how cutting‑edge semiconductors bring edge AI, energy efficiency, and hardware‑rooted security to large‑scale device management.
This article explores how automation can help reduce energy consumption and waste. With the right approach, organizations can make meaningful progress toward sustainable efficiency.
In this article, we’ll explore the current Ops landscape, why unifying these disciplines through XOps is so powerful, how to implement XOps successfully, and how it can unlock new levels of enterprise agility.
Voice recognition technology is revolutionizing industries, from automotive and retail to fintech and healthcare, by enhancing user experience and operational efficiency. However, as these systems become more integrated into our daily lives, robust security measures are essential to protect sensitive voice data from emerging threats like spoofing and unauthorized access.
AI-driven workflow automation is transforming how organizations operate. By replacing time-consuming manual tasks with intelligent, self-optimizing systems, businesses can boost productivity by as much as 40% while reducing costs and minimizing errors. From enhancing customer service and streamlining software development to enabling data-driven decision-making, AI is not only modernizing traditional processes but also paving the way for a more agile and competitive future. This article delves into the evolution from rigid robotic process automation to adaptive AI workflows, offering practical insights on harnessing this technology to drive innovation and sustainable growth.