To companies wishing to catalyse digitalisation, scope and develop artificial intelligence and leverage the best ideas from their R & D teams to achieve the desired results We recommend this recent article published in Harvard Business Review as a source…
Category: Thought leadership
In this section we bring you a selection of issue based articles in which we discuss a range of topics relevant to the sectors in which we operate. Our business activities are mostly focused on AI applied in high-risk scenarios, which include biometrics and certain use cases for Gen AI. Our sectors include security and biometrics, critical infrastructure, retail, aviation, education and more. Additionally we consider the impact of AI on individuals and their rights and the future of work. Furthermore, we provide action points and recommendations to help you get started on your journey towards de-risked AI opportunities. We advocate for AI systems to be developed and applied in accordance with global trustworthy principles, AI risk frameworks, de facto standards, sector regulation and the law. To find out how Anekanta® can help you to develop, deploy and use AI responsibly please get in touch
Calipsa webinar: The past, present and future of technology in physical security
If you missed Calipsa's webinar on "From AI to the cloud: The rise of technology in physical security". You can register and see it on-demand any time at your convenience. Here our founder talks with the panel about value added…
Read More Calipsa webinar: The past, present and future of technology in physical security
Ethical Surveillance?
This article was first published in Fire and Security Matters Magazine April 2020: https://www.fsmatters.com/Surveillance-and-controlling-COVID-19 Will state run surveillance measures ever be accepted in the Western world? It has been reported in the media that Eastern World nations have been effective…
AI to the rescue?
There is a good reason why there is so much excitement around the group of technologies classified as Artificial Intelligence - whether you believe that the Singularity or Artificial General Intelligence will ever come into existence - or not. Various…
Ambiguous Threats and AI?
This isn't about politics. See what we may learn from this article in HBR about leadership in the COVID-19 crisis and think about how the paradigm applies to the growing trend towards utilising Artificial Intelligence to assist in better decision…
Anekanta and its founder feature in leading cloud convergence innovator, Conxtd Thinking Podcast.
https://open.spotify.com/episode/0yT1Lzi7pUGg47bbnUEiyW?t=0 Listen to Conxtd's latest podcast and hear our founder's views about technology transitions and just what it takes to establish new ways of doing things. All designed to keep us safe and our businesses operating efficiently with the best…
Transform Manufacturing with AI
The development of general-purpose technologies which enable AI to deliver better results and transform manufacturing have been strengthened.
What is Inspirational Value?
Maslow and the reasons to buy Interesting insights into the psychology of B2B value from Bain & Company Inc and HBR; relating the reasons to buy to Maslow's hierarchy of needs. To achieve inspirational value companies need to do more…
Anekanta® AI Governance Framework
Anekanta®'s AI governance framework was originally developed in 2020 and independently assessed by the University of Oxford, prior to the recent explosion in the awareness of AI as a beneficial business tool. The purpose of this set of principles is to ensure ethical AI practices throughout the organisation. It is clear that AI needs to be on the Board agenda and considered seriously as part of the CSR requirements. AI should not be confined within the realms of IT, although the CIO may take responsibility for implementation and management.
Artificial intelligence and technology convergence in physical security
Sounds simple, but the physical security estate is made up of millions of discrete systems, operated by private entities and whose interest is in the threats and risks associated with their specific operations. Convergence is still constrained by the boundaries of discrete technologies and private ownership.