9 IoT global trends for 2017

9 IoT global trends for 2017

9 IoT global trends for 2017

The Internet of Things (IoT) is touching every technology sector around the world, and it's having a significant impact on how enterprises and consumers interact with machines and devices.

TechRepublic talked to IoT experts in a range of disciplines to find out what they think the biggest trends will be in 2017. Participants were Kevin Curran, IEEE senior member and senior lecturer in computer science at Ulster University; Francesco Cetraro, head of registrations, .cloud; William Webb, IEEE fellow; Glen Robson, executive vice president, Verifone; Ian Ferguson, vice president of marketing and strategic alliances, ARM; Steven LeBoeuf, co-founder and president, Valencell, Inc.; Sukamal Banerjee, executive vice president and global head, IoT Works and HCL Technologies; Adebayo Onigbanjo, director of marketing, Zebra Technologies; Rick Orloff, chief security officer and chief privacy officer, Code42; Macario Namie, head of strategy, Cisco Jasper; Jason Collins, vice president of IoT marketing, Nokia; Jeff Woods, vice president of marketing strategy, SAP; Simon Moffatt, senior product manager, ForgeRock; and Hossein Rahnama, CEO and Founder, Flybits.

Read Also:
The Unparalleled Utility of Graph Databases

Artificial intelligence, augmented reality, virtual reality, healthcare IoT, industrial IoT, and wearables are some of the topics of conversation about where the Internet of Things is headed in 2017.

Kevin Curran: "AI, and machine learning in particular, is the process of building a scientific model after discovering knowledge from a data set. It is the complex computation process of automatic pattern recognition and intelligent decision making based on training sample data. AI techniques can replicate some specific elements of intellectual ability. Computers can already solve problems in limited realms. The basic idea of AI is simple but its execution is complicated. First, the AI algorithm gathers facts about a situation through sensors or human input. The computer compares this information to stored data and decides what the information signifies. The computer runs through various possible actions and predicts which action will be most successful based on the collected information. The IT giants such as Google, Microsoft, Facebook, and others have all been using AI techniques in various research projects. Google acquired DeepMind technologies who use neural networks and deep learning methods that deploy low-level transistor networks to produce high-level effects."

Read Also:
Predictive analytics and advertising: the science behind knowing what women (and men) want

Rick Orloff: "There is a big distinction between artificial intelligence (AI) and artificial general intelligence (AGI). The former is akin to your GPS finding the best route to the airport, with the latter being associated with actual intelligent thought, which ties into robotics. As we rely on artificial intelligence to handle more tasks and both these categories evolve, we're going to see a huge demand in 2017 for security skills applied to AGI, AI, and robotics, even more so when you combine AGI and robotics. The need for better real-time data correlation to improve the service stack as well as the security stack will become a critical skill set."

Hossein Rahnama: "We are beginning to enter the initial stages of consumer use of the "AI-driven internet." This new era of internet is a shift from what we have traditionally experienced, interacting with two-dimensional interfaces for 2D experiences, such as using a smartphone or computer screen. The AI-driven internet will utilize 3D interfaces to generate 3D experiences. Your physical environment with become your internet interface. Take Uber for example, in which you interact with a digital service that takes into account your real-time environment and it creates a physical result by sending a car to your exact location. We will begin to see many more of these services emerge this year.

Read Also:
An Insight into 26 Big Data Analytic Techniques: Part 2

 



Read Also:
Overcome These 5 Challenges to Manage Data Overload
Read Also:
From Big Data to Artificial Intelligence: The Next Digital Disruption
Read Also:
European Machine Intelligence Landscape
Read Also:
Aylien launches news analysis API powered by its deep learning tech

Leave a Reply

Your email address will not be published. Required fields are marked *