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…
Category: Artificial Intelligence
Artificial Intelligence (AI) encompasses a range of data processing techniques embodied in products and infrastructures. These range from machine learning which can make predictions, recommendations and find patterns in data to generative AI which can create new content, images and audio which mimic human responses. AI systems can act autonomously, learn from data and influence the physical world directly or indirectly. AI systems can improve productivity, enhance learning, deepen the understanding of large data sets and establish correlations between events no human would ever be able to achieve in the time. Due to its power, autonomous features, range of use cases and human like form, the range of risks associated with its use has grown exponentionally. To help organisations achieve the best return on investment with minimal risk we assess development road maps and intended use cases and recommend the policy and mitigations organisations need apply within the boundaries of de facto standards and legislation. Seize the opportunity to advance your organisation with AI safely and get in touch with Anekanta®AI today.
Transform Manufacturing with AI
The development of general-purpose technologies which enable AI to deliver better results and transform manufacturing have been strengthened.
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.
Adding value with Artificial Intelligence
In the video surveillance domain, AI is adding value to the video estate by creating meaning and context for millions of otherwise uncategorised live and recorded images