Look to Smart Cities for Innovative Solutions that Leverage the Artificial Intelligence of Things and 5G

The Artificial Intelligence of Things

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.  

AI support of IoT (AIoT) is just beginning to become part of the ICT lexicon as the possibilities for the former adding value to the latter are only limited by the imagination

Mind Commerce

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. For example, leading vendors such as Sharp are developing AIoT enabled consumer products such as a “Smart Kitchen” in which appliances communicate with humans about things like preferred cooking times and calories settings.

As the user interface component is important for human-to-AI interaction, Sharp has indicated that they will cooperate with manufacturers to make these products compatible with various smart speakers and virtual personal assistant products.

While early AIoT market solutions are rather monolithic, it is anticipated that AIoT market integration within businesses and industries will ultimately lead to more sophisticated and valuable inter-business and cross-industry solutions. These solutions will focus primarily upon optimizing system and network operations as well as extracting value from industry data through dramatically improved analytics and decision making processes.

Furthermore, Mind Commerce sees the prospect of AIoT solutions dramatically accelerating the benefits of digital transformation for consumer, enterprise, industrial, and government market segments. AIoT is transformational and mutually beneficial for both as AI adds value to IoT through machine learning capabilities and IoT adds value to AI through connectivity and data exchange.

As IoT networks proliferate throughout every major industry vertical, there will an increasingly large amount of unstructured machine data. AI enhances the ability for data analytics and IoT platforms to provide value to each of these market segments. The use of AI for decision making in IoT and data analytics will be crucial for efficient and effective decision making, especially in the area of streaming data and real-time analytics associated with edge computing networks.

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AI, IoT, and 5G in Smart Cities

Many information and communications technologies are leveraged to deploy and support smart city deployments. Chief among them are AI, IoT, and 5G as they provide the intelligence, communications, connectivity and bandwidth necessary for highly functional and sustainable smart cities market solutions.

Taking the convergence of AI and IoT one step further, Mind Commerce coined the term AIoT5G to refer to the convergence of AI, IoT, 5G. The convergence of these technologies will attract innovation that will create further advancements in various industry verticals and other technologies such as robotics and virtual reality.

A significant majority of ICT applications will occur within metropolitan areas and will ultimately integrate within smart city ecosystems. The use of AI for decision making in IoT and data analytics will be crucial for efficient and effective smart city solutions in terms of decision making. 5G provides substantial bandwidth where needed as well as significantly lower latency for next generation applications and services such as virtual reality controlled teleoperation and other enhanced user interfaces.

Mind Commerce sees smart cities providing significant opportunities for technology integration in support of highly customized, yet scalable services. There will be a positive feedback loop created and sustained by leveraging the interdependent capabilities of AI, IoT, and 5G (AIoT5G). For example, AI will work in conjunction with IoT to substantially improve smart city supply chains. Metropolitan area supply chains represent complex systems of organizations, people, activities, information, and resources involved in moving a product or service from supplier to customer.

Leading supply chain management (SCM) solutions catalyze information sharing across organizational units and geographical locations, enabling decision-makers to have an enterprise-wide view of the information needed in a timely, reliable and consistent fashion. Various forms of AI are being integrated into SCM solution to improve everything from process automation to providing greater visibility into static and real-time data as well as related management information systems.

Mind Commerce evaluates the smart cities market including leading vendors and strategies (such as a single vendor centric approach), infrastructure, solutions, applications and services. The report analyzes market factors driving solution adoption, technology readiness and fitness for use, and other considerations. This includes the role of technology accelerating digital transformation including AI, edge processing, 5G deployment and usage, and advanced data analytics. We are open to dialog about AI integration with other technologies and support of smart cities. Contact us to schedule a briefing.

Opinions expressed by contributors are their own.

About Gerry Christensen

Contributor ICT industry professional with extensive technical and business experience. Over 30 years in planning, engineering, product management and business development for signaling networks, intelligent networks, and wireless communications networks. 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".

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