Gartner, Inc. He highlighted the main trends in Internet of Things (IoT) technology that will drive digital business innovation from 2018 to 2023.
"The IoT will continue to provide new opportunities for digital business innovation over the next decade, many of which will be enabled by new or improved technologies," said Nick Jones, vice president of research at Gartner. "CIOs that dominate innovative IoT trends have the opportunity to lead digital innovation in their businesses."
In addition, CIOs should ensure that they have the skills and partners necessary to support key IoT emerging trends and technologies, since, by 2023, the average CIO will be responsible for more than three times more endpoints than this year.
Analysts discussed how CIOs can lead thego dealis to discover IoT opportunities and do IoT Projects a success during Gartner Symposium / ITxpo, which will take place here until Thursday.
Gartner selected the 10 most strategic IoT technologies and trends that will allow new sources of income and business models, as well as new experiences and relationships:
Trend No. 1: Artificial Intelligence (AI)
Gartner predicts that 14 201 million connected things will be in use in 2019, and the total reach 25 billion by 2021, producing a huge volume of data. ?Data is the fuel that drives IoT and the ability of the organization to obtain meaning from defining its long-term success.?Mr. Jones said. "AI will be applied to a wide range of IoT information, including video, still images, voice, network traffic activity and sensor data.
The technological landscape for AI is complex and remains a syndicate until 2023, with many IT providers that invest heavily in AI, AI variants coexist and new tolls and AI-based services emerge. Despite this complexity, it is possible to achieve good results with AI in a wide range of IoT situations. As a result, CIOs must create an organization with the tools and skills to exploit artificial intelligence in their IoT strategy.
Trend n 2: Social, legal and ethical IoT.
As IoT matures and unfolds more widely, a wide range of social, legal and ethical problems grow in importance. These include ownership of the data and deductions made from them; somewhat biased bias; privacy; and compliance with regulations such as the General Data Protection Regulation.
"The successful deployment of an IoT solution requires that it not only be technically effective, but also socially acceptable," Jones said. CIOs should, therefore, educate themselves and their staff in this area, and consider the formation of groups, such as ethical advice, to review the corporate strategy. "CIOs should also consider reviewing key algorithms and AI systems by external consultants to identify possible biases."
Trend No. 3: Infonomy and data brokerage.
The IoT project survey conducted by Gartner last year showed that 35% of respondents sold or planned to sell the data collected for their products and services. The economic information theory takes this monetization of the data beyond by seeing it as a strategic commercial asset that must be registered in the company's accounts. By 2023, the purchase and sale of IoT data will become an essential part of many IoT systems. CIOs should educate their organizations about the risks and opportunities related to the exchange of data to establish the IT policies required in this area and to advise other parts of the organization.
Trend N 4: The change from smart edge to smart mesh
The change of centralized architectures and from cloud to edge is underway in the IoT space. However, this is not the end point because the ordered set of layers associated with the edge architecture evolve into a more unstructured architecture that comprises a wide range of "things" and services connected in a dynamic mesh. These mesh architectures will allow more flexible, intelligent and more responsive IoT systems, although often at the expense of additional complexities. CIOs must prepare for the impact of mesh architectures on IT infrastructure, skills and supply.
Trend n. 5: IoT governance
As IoT continues to expand, the need for a governance framework that ensures adequate behavior in the creation, storage, use and elimination of information related to IoT projects will become increasingly important. The government ranges from simple technical tasks, such as device auditors and firmware updates, to more complex problems, such as device control and the use of the information they generate. CIOs must assume the role of educating their organizations on governance issues and, in some cases, investing in personnel and technologies to address governance.
Trend No. 6: Sensor Innovation
The sensor market will evolve continuously until 2023. The new sensors will allow a wider range of situations and events to be detected, current sensors will drop in price to be more affordable or be packaged in new ways to support new applications, and New algorithms emerge to derive more information from current sensor technologies. CIOs must ensure that their teams are monitoring sensor innovations to identify those that can help new opportunities and business innovation.
Trend n 7: trusted hardware and operating system
Gartner surveys invariably show that security is the most important area of ??technical concern for organizations that implement IoT systems. This is because organizations often have no control over the source and nature of the software and hardware used in IoT initiatives. "However, by 2023, we hope to see the deployment of combinations of hardware and software that, together, create more reliable and secure IoT systems," Mr. Jones said.
"We advise CIOs to collaborate with information security directors to ensure that the right personnel participate in the review of any decision that involves the purchase of IoT devices and integrated operating systems."
Trend 8: Novel user experiences of IoT
The IoT (UX) user experience covers a wide range of design technologies and techniques. It will be based on four factors: new sensors, new algorithms, new architectures of experiences and contexts, and experiences of social awareness. With a growing number of interactions that occur with things that don't have screens and keyboards, UX designers in organizations must use new technologies and adopt new perspectives if they want to create a superior UX that reduces friction, user blockages and encourages use and retention.
Trend n 9: silicon chip innovation
Currently, most IoT endpoint devices use conventional processor chips, with low-power ARM architectures that are particularly popular. However, traditional instruction sets and memory architectures do not adapt well to all the tasks that endpoints must perform, ?said Mr. Jones. "For example, the performance of deep neural networks (DNN) is often limited by memory bandwidth, rather than processing power."
By 2023, the new special purpose chips are expected to reduce the energy consumption required to run a DNN, allowing new edge architectures and DNN functions built into the low power IoT endpoints. This will support new capabilities, such as integrated data analysis with sensors and voice recognition included in low-cost battery-powered devices. CIOs are recommended to take note of this trend, since silicon chips that allow functions such as integrated artificial intelligence, in turn, will allow organizations to create highly innovative products and services.
Trend No. 10: New wireless network technologies for IoT
The IoT network involves balancing a set of competing requirements, such as the cost of the endpoint, power consumption, bandwidth, latency, connection density, operating cost, service quality and range . No single network technology optimizes all of these and the new IoT network technologies will provide CIOs with additional options and flexibility. In particular, they should explore 5G, the next generation of satellites in low Earth rite, and backscatter networks.