Infoscience Technologies is supporting PETRONAS Carigali Bhd (PCSB) in deploying Natural Language Processing in the subsurface and wells domain. This new partnership demonstrates the value of Infoscience's NLP algorithms to accelerate workflows, identify risks and generate new business opportunities. “Companies are struggling to extract and exploit the knowledge held within their documents and presentations” says... Continue Reading →
OpportunityFinder® V4.4 Automatically create graphs from unstructured text – Turtle output.
NEW OpportunityFinder V4.4: Create Turtle output automatically from unstructured text. Creating a graph of subsurface & wells concepts automatically from unstructured data using Natural Language Processing (NLP). The technique of creating a graph network of entities and concepts automatically from text into a Knowledge Graph is not new. However, OpportunityFinder(R) uses a unique patented approach to... Continue Reading →
Infoscience Technologies and Aramco Collaboration
We are pleased to be collaborating with Aramco and keen to see it put Infoscience’s OpportunityFinder® Natural Language Processing (NLP) algorithm to work. This aims to help geoscientists and engineers derive meaningful insights from unstructured data to speed up workflows and reduce risks. About Infoscience Technologies Ltd Infoscience is the market leader for Artificial Intelligence (AI)... Continue Reading →
Infoscience Technologies Runners Up in UK Innovation and Entrepreneurship Award
Delighted to announce that Infoscience Technologies was Highly Commended (Runner Up) in the UK Innovation and Entrepreneurship Award at the British Computer Society 2022 IT Industry Awards last night. Congratulations to the winner CyberSmart!
S&P Global Commodity Insights sign enterprise software license for Infoscience AI software
We are delighted to confirm that Infoscience Technologies is partnering with S&P Global Commodity Insights to discover new insights in their extensive archive of unstructured data using our Natural Language Processing (NLP) algorithms. The industry has always faced the challenge of deriving new valuable information from the growing archives of data - and something that... Continue Reading →
Anglo American sign global license for Infoscience Technologies’ Natural Language Processing (NLP) Algorithms
We are pleased to announce that Anglo American, one of the worlds largest mining companies, has signed a global software license agreement to deploy Infoscience Technologies’ Natural Language Processing (NLP) algorithms. Supporting its FutureSmart Mining™ Digitalisation initiative in Discovery (Exploration), Anglo American will apply these unique disruptive algorithms to its vast internal collection of documents. These will... Continue Reading →
Shortlisted for the UK Innovation and Entrepreneurship Award
We are delighted to be shortlisted for the UK Innovation and Entrepreneurship Award by the British Computer Society. A very big thank you to everyone for your insights, support and encouragement these past couple of years. #georesources #energytransition #mining #renewables #oilandgas
Disruptive algorithms for geo-resources – oil and gas, metals and mining unstructured text
Unlock the value in your oil & gas, mining, subsurface and geoscience documents. Disrupt existing business workflows. Automatically classify, extract data and names, find problems and opportunities. Assisting the subsurface professional and Geoscientist. Save time searching for information, reduce the risk of missing key information and increase the chances of ideation & discovering new knowledge.... Continue Reading →
OpportunityFinder® Customer survey
A recent survey was undertaken of a large organisation that has been using the Natural Language Processing / Machine Learning Python algorithm OpportunityFinder for the past 12 months. They have been applying the algorithm to millions of documents to extract knowledge and ideas. Compared to their existing traditional search engines they estimated: 1. The algorithm... Continue Reading →
Detecting mineral evidence in reports and comparing to existing structured data
These data were generated by the OpportunityFinder algorithm. See here for the blog post with more information: http://www.paulhcleverley.com