IoT and data science are intertwined, as sensor data from wearables, transportation or healthcare systems, manufacturing and engineering, needs to be collected, refined, aggregated and processed by automated data science systems to deliver insights and value.
We posted a list of interesting articles late last year on this topic, and some IoT data sets earlier in 2015. More can be found here and on IoTCentral.io. Below is a list of 2016 predictions by top IoT experts.
To view full table, click here.
- Nathaniel Borenstein, inventor of the MIME email protocol and chief scientist at Mimecast – “The maturation of the IoT will cause entirely new business models to emerge, just as the Internet did. We will see people turning to connected devices to sell things, including items that are currently “too small” to sell, thus creating a renewed interest in micropayments and alternate currencies. Street performers, for example, might find they are more successful if a passerby had the convenience of waving a key fob at their “donate here” sign. The IoT will complicate all aspects of security and privacy, causing even more organizations to outsource those functions to professional providers of security and privacy services.”
- Adam Wray, CEO, Basho – “The deluge of Internet of Things data represents an opportunity, but also a burden for organizations that must find ways to generate actionable information from (mostly) unstructured data. Organizations will be seeking database solutions that are optimized for the different types of IoT data and multi-model approaches that make managing the mix of data types less operationally complex.”
- Geoff Zawolkow, CEO, Lab Sensor Solutions – “Sensors are changing the face of medicine. Mobile sensors are used to automatically diagnosis disease and suggest treatment, bringing us closer to having a Star Trek type Tricorder. Also mobile sensors will ensure the quality of our drugs, diagnostic samples and other biologically sensitive materials through remote monitoring, tracking and condition correction.”
- Zach Supalla, CEO, Particle – “2016 isn’t the Year of IoT (yet)- It’s A Bump in the Road. The industry has been claiming it’s the year of IoT for the last five years – let’s stop calling it the year of the IoT and let’s start to call it the year of experimentation. 2016 will be the year that we recognize the need for investment, but we’re still deeply in the experimental phase. 2016 will be the bump in the road year – but at the end of it, we’ll have a much better idea of how experiments should be run, and how organizations can “play nicely” within their own walls to make IoT a reality for the business.”
- Borys Pratsiuk, Ph.D, Head of R&D Engineering, Ciklum – “The IoT in medicine in 2016 will be reflected in deeper consumption of the biomedical features for non-invasive human body diagnostics. Key medical IoT words for next year are the following: image processing, ultrasound, blood analysis, gesture detection, integration with smart devices. Bluetooth and WiFi will be the most used protocols in the integration with mobile.
- Laurent Philonenko, CTO, Avaya – “Surge in connected devices will flood the network – the increasing volume of data and need for bandwidth for a growing number of IoT connected devices such as healthcare devices, security systems and appliances will drive traditional networks to the breaking point. Mesh topologies and Fabric-based technologies will quickly become adopted as cost-effective solutions that can accommodate the need for constant changes in network traffic.”
To read all the 50 predictions, click here.
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