The development of the Internet of Things will entail an increase in the cost of ensuring the security of IoT devices. Gartner’s research shows that throughout 2016-2018, almost 20% of the organizations around the world faced at least one cyber threat related to the Internet of Things.
The experts believe that in the foreseeable future, the number of attacks on IoT devices will only grow. If a year ago the costs associated with the protection of the infrastructure were estimated at about $1.51 billion, in the current year, the costs will increase up to $1.93 billion, exceeding three billion US dollars in 2021.
It is noted that the main problem of the Internet of Things is outdated device firmware. At best, updates come out with significant delays, at worst, they are not released at all. For what is worth, sometimes the possibility of an update is not even technically foreseen.
As a result, many IoT devices are cracked using trivial methods, such as vulnerabilities in the web interface. Almost all such vulnerabilities are critical and are actively used by hackers. By 2030, IoT will add up to $15 trillion to the growth of global GDP, according to analysts of General Electric. Ah, those predictions!
Big Data Analytics
Big data analytics (or simply BDA) is becoming one of the most popular features of the way the modern business operates. According to IDC, the volume of the BDA market will reach $260 billion by 2022. But this is three years from now, what about today? As its manufacturing siblings, the market is on the rise: the year 2018 saw substantial annual growth of 12%. The largest segments of the big data industry are:
- IT services generating $77.5 billion of revenue;
- software development services which contributed another $67.2 billion;
- hardware solutions with $23.7 billion;
- business services adding $20.7 billion.
BDA is totally beneficial for the industry. Within a plant, it provides a detailed picture of what has happened, what is happening now, and what will happen the next day or in a year. In subsequent years, further increases in costs are expected in the big data and business intelligence market. Thus, the CAGR indicator in the period from 2018 to 2022, according to IDC experts, will be 13.2%. From a geographical point of view, the United States will remain the largest region in terms of BDA costs.
Within the domain of manufacturing, artificial intelligence enables collaborative robotics and automated workflows based on predictive analytics. Secondly, the technology improves recruitment and retention of industry professionals and optimizes the use of the equipment and overall plant effectiveness. Numerous potential use cases for AI in manufacturing make the industry one of the most attractive sectors for global venture capital. Technologies that derive from AI (aka cognitive technologies) include:
- machine learning;
- computer vision;
- natural language processing;
- speech recognition;
- rules-based systems;
- and planning and scheduling.
Another trend is the rapid development of services using machine learning technologies and artificial intelligence systems based on neural networks. Machine learning refers to the ability of computer systems to improve their performance by exposure to data, without the need to follow explicitly programmed instructions.