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Key Insights: IoT Trends & Considerations 2016

BT demuestra que la transformación digital ya está en marcha - See more at:
BT demuestra que la transformación digital ya está en marcha - See more at:
Autor: Priyanka Bhatnagar

Trend 1: Communications and Networking Technology: No “one size fits all”

Based on the broad range of the applications, diverse devices and different networks – some low power, some not – for instance, Bluetooth, LTE Category 0, ZigBee etc. there really will be no one protocol.

Market Impact: The communication protocols will remain fragmented. The key IoT standards are underway. For now, the interoperability will drive cross industry standards. While many protocols will be touted as the ideal IoT solutions, the organizations will continue to select the technology partners with the best suited protocols which understand their business processes.

Trend 2: Business Process Management (BPM) into IoT

Enterprise IoT is the key to improve operational efficiency and reduce human errors. And many enterprises rely on BPM for their processes. BPM is an established technique for modelling and executing complex processes in enterprises. The enterprise adoption of IoT technologies will be accelerated if these techniques could also be used for IoT-aware processes – making it more adaptive to the real world – not just accounting for planned and deterministic processes.

Market Impact: According to Gartner, “more than half of major new business processes and systems will incorporate some element of the Internet of Things (IoT) by 2020”. Capturing events from devices will not lead to an end-to-end solution; it’s the inclusion of BPM which will result in an end-to-end solution. And it is this inclusion of BPM that will play a key role in capturing real value from IoT.

Trend 3: Sensor Data Acquisition and Management

The ability to manage devices in the field will be the key to enabling large scale deployments. From the functional data point, the core part will be sensor data acquisition and management. Ingesting humongous volumes of data streaming from things and transforming it into actionable insights will be of essence. Real Time analytics will include everything from business intelligence to machine learning, data mining, predictive analytics, condition monitoring, rich visualizations etc.

Market Impact: The ideal platform will have the visibility and interoperability with all other layers of IoT deployment – hardware, gateways, networks and security to translate information from disparate devices.  Not just scale & volume of data but also the velocity of data that needs to be ingested, stored and analysed, will drive meaningful insights.

The device management, perforce, will create both opportunities and challenges. The number of sensors, gateways and devices will be extremely large, spread across large geographical areas. Thus managing heterogeneous devices and ensuring complete automation & remotely manageability will pose a technological challenge.

Trend 4: Security & Adoption

Since the legacy systems in manufacturing and other industrial applications, will no more be isolated from the IP networks, given the IoT transformation which will plug the gaps, the new security concerns will emerge. However, these security challenges will only unfold as the market matures further.

Market Impact: These real or perceived security threats will not be an impediment to the industry wide IoT Adoption. The lower costs of sensors, cloud storage, networks and computing will continue to propel the IT/OT convergence. The Global Industrial IoT Market Research Report forecasts 26.56% CAGR from 2015 to 2019, in IIoT (Industrial IoT) industry across manufacturing, energy & utilities, automotive & transportation and healthcare. As such the platforms with robust, efficient and secure implementations of the technologies will keep the door open to market-changing disruption in the space.

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