IoT is transforming our world - the way machines interact with humans and other machines. Today, organizations in all industries are looking to leverage data originating from sensors with machine learning, analytics, and artificial intelligence to improve operations, become more agile, and to capture next-generation business opportunities. With IoT applications grow in size and popularity, physical sensor networks are more often running multiple complex applications. The technologies are new, systems are complex, security concerns are huge and the path to realizing benefits is uncertain.
Businesses across industries are adopting the Internet of Things at a rapid pace but challenges surmount. With the explosion of sensors-adds a lot of challenges in how to deal with all of these simultaneously connected devices producing lots of data to be retrieved, aggregated, analyzed and pushed back out the devices while maintaining responsiveness.
Challenges of scaling up includes:
Managing huge bursts in traffic in receiving sensor data at peak times
Processing of large amounts of data in both batch processes and real-time
Doing massive simulations, simulating real-world usage patterns
Back end IOT services also require to manage the devices, not just absorb the data sent from the devices
The back-end systems managing all this needs to be able to scale on demand and be fully resilient. This is a perfect fit for reactive architectures.
Knoldus engineering expertise from sensors to insights, an extensive Internet of Things (IoT) ecosystem and a practical approach towards IoT-led digital transformation, help clients to realize tangible and significant benefits from IoT. With an end-to-end reactive architecture that addresses enterprise-level, IoT needs and help you efficiently deliver and manage highly secure, reliable, and scalable IoT solutions. We are making it easier for organizations by providing a validated, modular, flexible architecture built to be open, interoperable, and cost-effective.
End-to-End IoT Architecture to capture, process, and analyze data from connected devices, as well as ship machine learning models and intelligence back to the edge
IoT is being used to solve specific industry challenges - interactive use case spotlights.
Vehicle telematics to provide fleet management and operational efficiency
From diagnostics to patient care, IoT systems are revolutionizing healthcare. Leverage IoT-driven data to create groundbreaking customer engagement programs and research models.
Real-time monitoring of mine equipment, management of assets, worker health and safety
Supply chain optimization, along with real-time situational awareness to improve customer experience and returns management
Gather the digital information you need to develop new, innovative business models. Improve your ability to evaluate and manage risk, mitigate costs, and increase profitability.
Use IoT devices for predictive maintenance of your facilities. Take advantage of IoT sensor data for real-time, condition-based maintenance of facility assets and enhanced situational awareness at construction sites.
Knoldus helps HPE not only build customer value but also gain momentum for analytics transformation.
Philips Cares digitizes the aging and caregiving platform with the help of Knoldus API solution.