It’s that time of year that finds many of us perusing annual “what to buy” lists for holiday gift ideas. As we review these editorial picks across a spectrum of recipients, it’s a reminder of how the Internet of Things (IoT) has become so embedded in our everyday experiences.
A recent article on Engineering.com points to the astonishing growth of the Internet of Things, as IoT devices have now outpaced humans. “Research company Gartner forecasts that we’ll see 8.4 billion IoT devices in use in 2017, one for each of the 7.5 billion people currently inhabiting the planet (with almost a billion to spare).” And this is really just the beginning. That number is expected to more than double by 2020.
An Internet of Things Timeline
Although the topic goes back decades, our conversation around the Internet of Things (IoT) began in 2014 with a blog post that correctly predicted that Big Data was about to get even bigger. Although the Nest thermostat product premiered in 2011, it was in 2014 that Google acquired it for over $3 billion that signified much more was to come.
Last year at this time we reviewed the actual adoption rates of IoT. One interesting statistic from this post, “A summer 2016 survey of retailers and logistics providers reported that 64 percent were already using IoT technology.”
IoT’s Connection to Artificial Intelligence
Building and developing for the IoT is more than just programming and empowering devices with interactive features. Data from IoT sensors is also strongly tied to artificial intelligence. These devices gather information about their users, tracking their habits and preferences. The devices then leverage those preferences to smartly provide necessary services according to their users’ data-generated lifestyles.
The Internet of Things = More Big Data
The IoT and Big Data did not spring from the same shoot. They are distinct disciplines. But if you look at the history of each of these fields, you notice that they have some interesting features in common. Read more in our post The IoT-Big Data Convergence.
During our interview with Jim Cahill of Emerson Automation Solutions, he remarked on how the Industrial Internet of Things technology is opening-up new business models and ways manufacturers and suppliers interact. For example, equipment such as sensing devices might be leased with data from these devices (very much Big Data) sent to robust analytical software and reviewed by experts to spot abnormal or inefficient conditions early.
As Decideo’s Philippe Nieuwbourg describes in an interview earlier this year, “IoT is fantastic. Humans can generate data, but they have limits that sensors don’t have. Objects, sensors, can generate thousands of data every minute. It’s an inexhaustible data source.”
Collecting and analyzing data from sensors, smart devices and other data sources on the Internet of Things (IoT) will become increasingly important as the IoT expands. Kaa was featured in our Beyond Hadoop: 5 Open Source Big Data Projects You May Have Missed post earlier this year. Its open source platform aims to give developers one-stop shopping for writing software for IoT application.
IoT’s Connection to Artificial Intelligence
Building and developing for the IoT is more than just programming and empowering devices with interactive features. Data from IoT sensors is also strongly tied to artificial intelligence. These devices gather information about their users, tracking their habits and preferences. The devices then leverage those preferences to smartly provide necessary services according to their users’ data-generated lifestyles. (Related: Trending Now: Machine Learning Has Arrived)
Increased Security Risks
As the legendary words of Uncle Ben forewarn, “With great power comes great responsibility.” With more networked devices, there are more opportunities for hackers to attack. The expansion of the IoT is breeding a whole new generation of security risks to critical infrastructure.
Security was one of our 6 Things IT Needs to Know About the IoT and also named as one of the 4 Skills You Need to Delve into the Internet of Things.
In our interview with Robert Corace of SoftServe, he discussed security being a chief concern and top challenge for his clients, but worth the risk. “I wouldn’t describe these as purely challenges, though, as these companies also stand to gain a lot. Digital asset management, Cloud computing, mobile technologies, and the Internet of Things (IoT) approached as a part of digital transformation efforts can bring a lot of benefits to consumer facing operations, retail, the finance and banking sector, and many others.”
Syncsort’s Big Data solutions offer ways to help you harness the power of the Internet of Things. Read the whitepaper Accessing and Integrating Mainframe Application Data with Hadoop and Spark to learn about the architecture and technical capabilities that make Syncsort DMX-h the best solution for accessing the most complex application data from mainframes and integrating that data using Hadoop.