It Doesn’t End with Building a Solution Custom applications development is often viewed as a finish line: design, build, deploy. In reality, deployment is only the beginning. As businesses scale, user expectations rise, data volumes grow, integrations expand, and security threats evolve. Without structured custom application support, even the most well-built custom application can degrade …

Talent tech is one of the favorite use case for AI adoption. 62% of employers are now using AI in talent acquisition, a significant jump from 40% just a few years ago (as of recent industry reports) We have outlined differences between the traditional way and the AI-inspired, next-generation talent acquisition approach for companies. Traditional …

For many small and medium-sized enterprises (SMEs), “AI adoption” can feel intimidating, expensive, complex, and resource-heavy. But not all AI initiatives require huge budgets or technical teams. Chatbots are one of the simplest, fastest, and lowest-risk ways for any business to start using AI and see immediate returns. Below, we break down why chatbots are …

Think about how a modern community is built here in the US. It’s not like they just start dropping houses anywhere and then figure out the streetlights and sewers later. No! Before the very first house foundation is poured, they have a massive team—often working across onshore and offshore development teams—focused entirely on getting the …

Custom application development often feels like the unglamorous part of innovation. It is the quiet structural work that keeps a business moving forward. Custom applications development creates the workflows, automations, and digital bridges that make everything else possible. It is not optional but essential for companies that want systems built around their realities rather than …

Big data and the Internet of Things (IoT) are closely connected and intertwined. The IoT generates vast amounts of data from the numerous interconnected devices, sensors, and systems that make up its ecosystem. This data is often referred to as IoT-generated data or IoT-generated big data. Here’s how big data and the IoT are connected: …

Wondering who coined the term Internet of Things (IoT)? The term “Internet of Things” (IoT) was coined by Kevin Ashton in 1999. Kevin Ashton, a British technology pioneer, used the term while working at Procter & Gamble (P&G) to describe the concept of connecting physical objects to the internet and enabling them to communicate and …

The Internet of Things (IoT) has had a significant impact on businesses across various industries. Here are some keyways in which IoT has influenced businesses: Enhanced Efficiency and Productivity: IoT devices enable businesses to collect real-time data from various sources, such as sensors, machines, and devices. This data can be analyzed to gain insights and …

IoT (Internet of Things) makes things (devices) communicable and smarter. In a typical IoT implementation there are diverse types of things and devices. Devices can use a variety of communication ports and protocols depending on their specific functionalities and the technologies they employ.  On a broader level we can classify the things that communicate and …

Device management in IoT refers to the processes and tools used to manage and maintain the devices connected to an IoT network. This includes tasks such as device registration, configuration, monitoring, and updates. Device management is critical for ensuring the proper functioning of IoT networks, as well as ensuring the security and privacy of the …