Internet of Things

Strategic offers a full range of customized IoT services and software development services.

Strategic provides Internet of things (IoT) services by building software that ingests and analyzes data generated by IoT devices to help organizations gain competitive advantage from the data that is produced from their daily business operations.

Strategic's software developers can help you build IoT based applications, which integrate various data streams, to create new possibilities, and powerful new software products.

The IoT is a system of network connected computing devices, and mechanical and digital sensors provided with unique identifiers.  The definition of the IoT has evolved due to the convergence of multiple technologies such as real-time analytics, machine learning, sensors, and embedded systems. Traditional fields of embedded systems, wireless sensor networks, control systems, automation, and others all contribute to enabling the Internet of things. 

The IoT currently connects over 26 billion objects and growing, and is creating a significant impact on every industry. Organizations are analyzing the huge amounts of data generated by IoT sensors to gain actionable business intelligence, help build new products and services, and create closer relationships with their customers.

We offer services from product conceptualization to ongoing software development services. We adjust to different approaches of IoT implementations according to your objectives.

We recognize the importance of providing industry-specific services.

We are passionate about the potential of the IoT. We work with technologies such as Arduino, Bluetooth, beacons, and various IoT and wearable sensors. With the IoT new technologies are constantly emerging, such as new wireless standards, and we are constantly striving to keep up with these new developments.

The IoT is changing the way companies approach their businesses, industries, and markets by giving them tools to improve their strategies. Increasingly, more companies are taking advantage of the benefits available from the IoT to operate more efficiently, and better understand their customers and their buying patterns.

Deploying IoT solutions based on artificial intelligence (AI) presents challenges, such as managing data collection and building and deploying models from edge to core. The days of manually operating each device in a network are gone.  With the help of AI, IoT networks quickly learn and adapt to changing requirements and environmental factors. 

As an xample, the (IoT) has drastically transformed the manufacturing and field services industries. With a properly implemented IoT network, and its associated distributed sensors, companies are no longer limited to managing the maintenance of production assets based on equipment age or usage to stay ahead of costly failures.

The IoT enables organizations to manage assets to maximize operational efficiency, by delivering autonomous predictive service capabilities that can intelligently predict failures, initiate corrective actions, and facilitate preventative repairs even before failures occur.

The IoT is a combination of cloud-based software, data science, and computer networking that allows organizations responsible for managing a myriad of physical assets to transform their maintenance model from repair and replace to that of prediction and prevention.

IoT architecture design elements can include technologies such as:

  • Multitiered, remotely managed edge architectures that accommodate a large number of distributed edge nodes

  • Architecture designs that allow for location-agnostic services such as data storage, compute and visualization.

  • Distributed analytics allowing for data analysis anywhere across the IoT network, from sensors to edge to cloud

  • IoT networks that support multiple industrial connection protocols to maximize flexibility

  • Structured machine learning and unstructured artificial intelligence data flow management, and data lake storage, in a common format, based on compute, network and application constraints

  • Sensors that generate edge analytics solutions in real time

  • Security that analyzes the behavior of all data sources simultaneously, and alerts stakeholders when potential security breaches are detected