Artificial Intelligence in the Information and Communications Technology Industry

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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.


Building Intelligent IoT with Fog Computing

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Cloud based Platform As a Service (PaaS) and Software As a Service (SaaS) technologies have been used in enterprise markets for many years. They are also the major contributing factors to the rapid growth of IoT market in a wide range of products. PaaS providers offer ready-to-use services like security, data storage, device management and big data analysis. In addition, a number of SaaS companies provide application level services like billing, software management and visualization tools. That greatly reduces time-to-market, operation overhead, risks and startup cost.


Embedded World 2018: IoT adds pressure to teach machines to 'see'

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Visual input is arguably the richest source of sensor information. Scientists and engineers have been trying to understand and exploit imaging technologies for many decades now, developing algorithms for vision applications that enable computing machines to'see'.


Embedded World 2018: IoT adds pressure to teach machines to 'see'

#artificialintelligence

Visual input is arguably the richest source of sensor information. Scientists and engineers have been trying to understand and exploit imaging technologies for many decades now, developing algorithms for vision applications that enable computing machines to'see'.