Just imagine a realm where millions of objects can communicate, sense and share information, all intersected over internet protocol (IP) networks. These intersected objects have gathered and evaluated data frequently and introduced action to create a wealth of intelligence for planning, management, and decision-making. This represents the realm of the Internet of Things (IoT).
With the occurrence of the massive eruption of data in the form of smart devices, business information, and consumer goods, there is a huge demand for harvesting data for consumer services as well as for business process. According to a recent report, “Around 15 billion devices are connected to the internet today and that figure is forecasted to touch 50 billion mark in the next 5 years.” Since not many of us are fascinated by such figures and stats and usually take rapid technological development as granted these days, that surge might not grab your attention. But it should.
IoT has received massive attention in digitizing the physical world. It has the capability to primarily shift the way people interact with their surroundings. By managing and evaluating objects in the physical world, organizations can make data-driven decisions to improve the performance of systems and processes, save time for business and enhance the quality of life. By improving organizational workflows and reducing inefficiency costs, IoT represents a unique technology change that is affecting all of our lives. IoT can connect remote assets and it offers a data stream between centralized management systems and the asset to be integrated into new/ existing organizational processes for providing data on location, status, and functionality. Real-time data helps in providing a precise understanding of the situation and it improves productivity through optimized usage and better decision-making process. Data analytics helps to forecast the changes in IoT-enabled data and information as it provides inputs into the business requirements data feed from the IoT environment.
Processing huge quantities of IoT data in real time will increase as a proportion of workloads of data centers, leaving providers facing new security, capacity, and analytics challenges. To realize the full potential of IoT applications, technology will need to continue to evolve, providing lower costs and more robust data analytics. In almost all settings, IoT systems raise questions about data security and privacy. And in most organizations, taking advantage of the IoT opportunity will require leaders to truly embrace data-driven decision making. Extending information technology (IT) systems to new devices create many more opportunities for potential breaches, which must be managed.
No matter where on the planet an industrial plant may be, the ability to securely collect, manage and take action on data from industrial equipment can bring the value of the IoT to this sector of the enterprise space. With more physical objects and smart devices connected in the IoT landscape, the impact and value that IoT brings to our daily lives become more prevalent, people can make better decisions such as taking the best routes to work or choosing their favorite restaurant. New services can emerge to address society challenges such as remote health monitoring for elderly patients and pay-as-you-use services. For the government, the convergence of data sources on shared networks improves nationwide planning, promotes better coordination between agencies and facilitates quicker responsiveness to emergencies and disasters. For enterprises, IoT brings about tangible business benefits from improved management and tracking of assets and products, new business models and cost savings achieved through the optimization of equipment and resource usage.
Scalable Systems IoT Data Integration Service enables your organization to securely connect, analyze and integrate real-time IoT data between connected devices and enterprise applications. You can achieve full flexibility with a hybrid architecture and extensibility to connect future technologies.