Permutable establishes partnership with two universities to develop supply chain research

supply chain research

Permutable AI today publishes the results of its recent supply chain research project. The AI start up has established a partnership with two universities to develop research into the deployment of artificial intelligence-based-analysis to examine supply chains for their environmental, social and governance performance. Bringing academics and businesses together The partnership is with Bournemouth University … Read more

The effect of war on global supply chain sentiment

The Effect of War on Global Supply Chain Sentiment: Summary As we approach week four of the Ukrainian crisis, we present our initial findings on the effect of war on global supply chain management and sentiment. Following Russian troops across international borders on Feb 24 has seen a major impact on global supply chains in … Read more

Investor transcript analysis: An ESG breakdown

Investor transcript analysis is a key component of corporate strategy communictions. One of the biggest challenges a company faces is its obligations towards achievening net-zero carbon emissions by 2050 . To address this, we have taken a novel approach by searching for climate change and other ethical issues within the questions asked by institutions of … Read more

How does Permutable use neural networks?

Permutable is proud to announce its first powerful human-feedback-loop system for financial trading. The landmark innovation, using deep neural networks, pushes the boundaries of conventional machine learning, enabling the next generation of algorithmic financial trading. Neural networks & the benefits of this new approach This new approach enables real-time learning from just a few examples, resulting … Read more

Neural networks for trading systems – applications and use cases

neural networks

Neural networks are artificially created structures built into programs that are loosely modelled on the human brain. Neural networks have a wide range of applications including medicine, customer services, self-autonomous driving, and increasingly sophisticated trading systems. They are used for solving many business problems including sales forecasting, customer research, data validation, and risk management. How … Read more