Meet Professor Richard Mortier, Co-Founder and CTO at AI Knowledge Management Company: iKVA
iKVA is an early-stage company creating AI-enabled knowledge management software solutions. Our software is based on vector mapping technology which, along with other proprietary techniques, enables us to index highly unstructured data from multiple systems, in multiple formats, and with conflicting or non-existent taxonomies or meta-data. Once in our system, information from multiple sources can […]
Breaking Down Data Siloes For Data-Driven Decision Making
Originally published in PM Today By Jon Horden, iKVA CEO The successful delivery of a project regularly relies on project managers effectively and efficiently making decisions, often relating to costs, resources and budgets. Decision making is significantly easier when there is information available to support the process and sharing information in a meaningful way can […]
Artificial Intelligence in the UK
Professor Jon Crowcroft FRS FREng, co-founder of iKVA, Researcher at Large, at The Alan Turing Institute and Professor of Communication Systems at Cambridge University’s Computer Laboratory, provides his view on Artificial Intelligence in the UK Artificial Intelligence (AI) is one of the fastest-growing deep technologies in the world with the potential to transform multiple industries, drive […]
A new global era for business insights
Originally published in East Anglia In Business We may live in the Digital Age but tracking down the right data can still be incredibly difficult. Cambridge-based AI knowledge management company iKVA has developed quickfire software solutions for complex industry needs, as CEO Jon Horden explains. It’s estimated that we spend at least 20 per cent […]
iKVA Launches Discover v2.0
Join Professor Richard Mortier live – Free Webinar iKVA’s online webinar ‘A Voyage Into Discovery’ to learn more about vector search technology and the fantastic new features of iKVA’s Discover v2.0 3.30pm (BST) 29th September. Register here Discover v2.0 has launched As an AI Knowledge Management company, iKVA provides a range of products and services […]
Unlocking Data with AI Technology
Originally printed in MEM Technology From reports and contracts, to specifications and evaluations, the engineering industry generates huge volumes of data on a daily basis but 90% of engineering and construction industry data is unstructured, making it tortuous to access and harvest business insights from. When you consider that the average engineering designer spends up to a […]
Big data and AI: the building blocks of the future of engineering
Originally Printed in Civil and Structural Engineer Construction is one of the largest industries in the world, employing around seven percent of the world’s working age population. At this scale, it is no surprise that the sector generates huge volumes of data on a daily basis; from field data captured by drone, to reports and contracts, data […]
‘The UK’s contribution to the global technology market is huge’: Jon Crowcroft
By Nick Smith. Published in E&T Magazine 13th July 2022 Feted as one of the first computer scientists to be involved in the internet’s early days, Jon Crowcroft discusses why the UK is poised to deliver on its technology promise, as well as his latest work in AI. Despite reeling under the effects of a stalled […]
iKVA Presents at Deep Tech Labs Demo Day
Published in Cambridge Network and Electronic Specifier iKVA, the Cambridge-based AI-enabled knowledge management software solutions company, presented its innovative technology to 75 investors from more than 60 investment firms at Europe’s only Deeptech demo day, hosted by Deeptech Labs, on 21 June 2022. Deeptech Labs is an accelerator programme and venture capitalist fund established by […]
There’s nothing artificial about the benefits of AI
The data challenge The business benefits of data analytics are clear to most organisations – in fact, a recent survey found that 90% of business users agree that data and analytics are central to their digital transformation initiatives and to ensuring that they remain competitive. The challenge with ‘Big Data’ is that the datasets are too large, […]