Business leaders adopting GenAI often encounter hallucinated answers and irrelevant outputs. These issues rarely stem from model performance. The root problem lies in data that is fragmented, outdated...

As businesses gather more data from connected devices, many are exploring how Artificial Intelligence can maximize value from existing IoT ecosystems. By merging IoT’s real-time data capture with AI’s...

Building an Internet of Things (IoT) solution or product is a multidisciplinary marathon. You need embedded engineers to develop firmware, connectivity specialists to ensure data exchange, and cloud D...

Controlling costs, justifying cloud investments, and aligning technology spending with business goals are critical reasons why calculating and maximizing cloud ROI has become a top priority for enterp...

Efficient inventory management is critical to supply chain success, and IoT is rapidly becoming a key enabler. By equipping warehouses, shelves, and products with smart sensors, RFID tags, and trackin...

The global sensor fusion in robotics market is expected to more than double in the next 4 years [1]. This rapid growth reflects increased demand for robotics and the introduction of innovations that d...

On-device AI helps businesses enable real-time decision-making, improve privacy, and cut cloud-related costs. By running AI models directly on smartphones, wearables, edge devices, and other IoT hardw...

Modernizing a legacy application is rarely a purely technical endeavor. It touches budgets, culture, talent, and customer experience all at once. In this article, we will briefly take a look at some o...

The shift to cloud computing has opened multiple paths for modernizing IT infrastructure and accelerating innovation. Among the most widely adopted strategies are cloud-first and cloud-native, each of...

What if the most valuable product your bank could offer isn't a new loan, app, or card but the data it already holds? Monetization of data in banking is about turning existing information, such as tra...

Effective computer vision implementation requires alignment with business priorities, rigorous data preparation, and seamless integration with existing infrastructure. When executed right, it can redu...

A decade ago, fleet supervisors relied on clipboards, two-way radios, and yesterday's fuel receipts to understand where vehicles had been and how they were performing. An unexpected breakdown could id...