The IT research firm Gartner Inc. has delineated 10 Internet-of-Things (IoT) technologies and skills the organizations should be looking at in the next two years.
“A recurring theme in the IoT space is the immaturity of technologies and services and of the vendors providing them. Architecting for this immaturity and managing the risk it creates will be a key challenge for organizations exploiting the IoT. In many technology areas, lack of skills will also pose significant challenges,” said Nick Jones, VP and distinguished analyst, Gartner.
Security is one area Gartner pointed out. With the arrival of IoT, a wide range of security risks and challenges would emerge to the IoT devices, their platforms, OS etc. “Experienced IoT security specialists are scarce, and security solutions are currently fragmented and involve multiple vendors,” said Mr. Jones. “New threats will emerge through 2021 as hackers find new ways to attack IoT devices and protocols, so long-lived “things” may need updatable hardware and software to adapt during their life span.”
Under IoT, the method by which the companies analyze data would change. To say, in order to analyze the customer behavior, huge data from IoT devices and their connectivity would require enhanced set of analyzing capabilities. Hence, new analytic tools and algorithms are needed.
IoT device management, including software update, firmware, device monitoring etc. would also require new technologies. Similarly, while networking, IoT devices will raise new challenges in terms of range, battery-life, bandwidth, operational cost and more. Low-power, short-range networks will dominate wireless IoT connectivity through 2025.
Many technology players should coexist to make things seamless, Gartner pointed out.
Wide-area networks capable of delivering data rates from hundreds of bits per second (bps) to tens of kilobits per second (kbps) with nationwide coverage, a battery life of up to 10 years, cheap hardware cost would outnumber the traditional networks on a long-term.
Sophisticated operating systems and processors can only cater the IoT requirements. Understanding the implications of this demand a deeper skill set. Standardization of ecosystems or development of variants to support multiple standards or ecosystems would also challenge the organizations.