DUBLIN--(BUSINESS WIRE)--The "Artificial Intelligence (AI) in Big Data, Data as a Service (DaaS), AI Supported IoT (AIoT), and AIoT DaaS 2019 - 2024" report has been added to ResearchAndMarkets.com's offering. This Artificial Intelligence of Things (AIoT) market research provides analysis of technologies, leading companies and solutions. The report also provides quantitative analysis including market sizing and forecasts for AIoT infrastructure, services, and specific solutions for the period 2019 through 2024. It also provides an assessment of the impact of 5G upon AIoT (and vice versa) as well as blockchain and specific solutions such as Data as a Service (DaaS), Decisions as a Service, and the market for AIoT in smart cities. This research also evaluates various AI technologies and their use relative to analytics solutions within the rapidly growing enterprise and industrial data arena.
Technology has transformed the world we live in and has made significant changes in our daily lives throughout the years, making them much better and more convenient. This includes IoT, Artificial intelligence, robotics, to name a few. With recent advancements in modern technology, these methods are growing more sophisticated and interconnected. When the technologies become smarter, the possibilities for how we might use them expand as well. To begin, IoT refers to the Internet of Things.
It is important to recognize that intelligence within IoT technology market is not inherent but rather must be carefully planned. AIoT market elements will be found embedded within software programs, chipsets, and platforms as well as human-facing devices such as appliances, which may rely upon a combination of local and cloud-based intelligence. Just like the human nervous system, IoT networks will have both autonomic and cognitive functional components that provide intelligent control as well as nerve end-points that act like nerve endings for neural transport (detection and triggering of communications) and nerve channels that connect the overall system. The big difference is that the IoT technology market will benefit from engineering design in terms of Artificial Intelligence (AI) and cognitive computing placement in both centralized and edge computing locations. AI is rapidly making its way into many advanced solutions including autonomous vehicles, smart bots, advanced predictive analytics, and more.
Author of many technical papers about various telecommunications subjects including the published reports "Yes 2 Prepay" and "Data on SS7" as well as co-author of the books "Wireless Intelligent Networking" and "Mobile Positioning and Location Management". What is the "Artificial Intelligence of Things" (AIoT)? Simply put, AIoT represents the convergence of AI and IoT. This convergence will lead to "thinking" networks and systems that are becoming increasingly more capable of solving a wide range of problems across a diverse number of industry verticals. Many of the early solutions involving AIoT are consumer product related, utilizing cognitive intelligence to help end-users interact with retails products such as appliances.
Author of many technical papers about various telecommunications subjects including the published reports "Yes 2 Prepay" and "Data on SS7" as well as co-author of the books "Wireless Intelligent Networking" and "Mobile Positioning and Location Management". Increasingly integrated with and/or supporting various aspects of computing and networking, Artificial Intelligence (AI) is anticipated to become increasingly more important in terms of support for digital assets as well as physical infrastructure. Accordingly, forward-thinking ICT engineers and managers are no longer thinking of AI as merely algorithms and software in support of smart products and services but rather as a functional component of networking, systems, communications and applications as well as digital content and commerce. The potential economic and social benefits of generation networking AI in support of virtualized infrastructure and programmable networks cannot be overstated as networks will achieve an entirely new level of self-awareness, self-configuration, self-optimization, self-healing, and self-protection. Mind Commerce has gone on record to state that "AI in combination with Software-Defined Networking (SDN) and advanced analytics, is poised to take autonomous, intelligent network operation and control to an entirely new level" Existing carrier systems such as Self-organizing Networks (used largely to optimize radio infrastructure for cellular service providers) will benefit greatly through AI based decision making, developed through machine learning of network characteristics and customer usage patterns.