AI Landscape


Welcome to our fourth edition of AI Landscape where we have collated interesting insights from the world of AI and other emerging technologies.

Smart Cities

As we move to increasingly interconnected world, there has been much emphasis on the so-called ‘Internet of Things’ (IoT) – a network where smart objects talk to each other through automated systems. Devices, spaces and even contexts can become part of a network where the manipulation of digital information is expressed in physical form. Smart cities are touted as one of the major use cases for the Internet of Things with sensors collecting vast amounts of data and using these insights to manage resources and services, from traffic systems to crime detection. With 70% of the world’s population expected to live in urban areas by 2050, the following articles give a sense of what steps are being taken today, towards building the cities of the future.

TM Forum adapts Business Process Framework for smart cities

  • TM Forum has released a Smart City Operations Map which aims to help cities easily integrate new technologies and providers with existing information systems.


Grid4C Collaborates with Itron to Embed AI-Powered Analytics into Smart Meters at the Grid Edge

  • Grid4C Collaborates with Itron to Embed AI-Powered Energy Analytics into Smart Meters to solve the industry’s next generation use cases in real time.


Six European cities tap AI to cut carbon emissions


Roads of the future could harvest energy from cars to power street lights, play music to deter speeding and automatically weigh vehicles as they drive along



The Top 5 Fallacies About 5G

  • The recent development of superfast 5G technology has been positioned as a key driver in the pursuit of truly connected smart cities driven by the Internet of Things, but the article below highlights how this technology might not be there just yet


The much-hyped distributed ledger technology (DLT) has the potential to disrupt IT in a way that hasn’t been seen for many years. However, as yet, Blockchain has struggled to find its purpose, beyond powering cryptocurrencies like Bitcoin. Despite this, the potential of such a technology remains huge. These articles give a flavour of what the wider applications of blockchain may be, ranging from powering ticketing platforms to driving up food safety standards.

BitPay partners Poynt to bring bitcoin payments to the streets


Lancashire Cricket Club adopts TiXnGo blockchain ticketing


TokenSoft Launches Self-Managed Investment Accounts For Security Tokens


Neogen Partners With to Bring Blockchain to Food Safety and Animal Genomics

Ethics in AI

Intelligent machine systems are transforming our lives for the better. As these AI-driven systems become more capable, our world becomes more efficient and consequently richer. However, in many ways, this is as much a new frontier for ethics and risk assessment as it is for emerging technology. Beyond the optimism surrounding the applications of AI, conversations are beginning to turn towards the ethical implications of adopting such technology. From privacy concerns to robot rights, and from inbuilt biases to the unintended consequences of evil geniuses, we are beginning to recognise that beyond the technology lies a vast number of ethical considerations to ensure the responsible adoption of AI in modern society.

Pentagon adopts ethical principles to guide development, use of artificial intelligence


Vatican joins IBM, Microsoft to call for facial recognition regulation


OECD Launches AI Policy Observatory


Healthcare Trails Other Sectors In Developing AI Code of Ethics


The seven dimensions of AI

  • Proper understanding of AI and how to execute on its capabilities is especially important among start-up businesses. Those that are labelled as being “in the field of AI” can attract 15-50 per cent more in their funding rounds than other tech companies – however, doing so in an ethical way is paramount.

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