Tame the Boom-and-Bust Cycle of Lending with Low-Code

whitePaper | July 20, 2022

In recent years, the use of AI in organisations has drastically increased. As a result, lawmakers around the world have been paying close attention to the developments in the field of AI too. While there is no comprehensive legal body in Switzerland and the EU that regulates the use of AI today, there are clear signs that Swiss and European organisations should prepare for stricter regulation.

whitePaper | October 11, 2021

AI forms the bedrock to help organizations unlock business value from the deluge of unstructured information. Improving operational efficiency by extracting structured data from unstructured documents enables organizations with faster and contextrich decision-making to adapt and thrive in the new normal.

whitePaper | December 29, 2022

In our modern world, taking advantage of Artificial Intelligence (AI) to gain insights from data is becoming more prevalent day by day. Graphical Processing Unit (GPU) systems use multiple cores to perform parallel processing, running select workloads to decrease processing times. Compared to GPUs, Central Processing Units (CPUs) have fewer cores; previously, this resulted in less capacity for parallelized processing. To move beyond this limitation, Intel has released new hardware that runs typical AI mathematical computations more efficiently on the CPU, and has also released libraries with hardware optimizations that enable an additional increase in performance.

whitePaper | December 14, 2022

Data science is Vectra AI’s north star. We have always believed that data science and AI, if used properly, can transform our fight against cyberattacks and give an edge to defenders. However, not all AI is the same.

whitePaper | December 22, 2022

Machine learning, one of the key building blocks of AI, has been a part of the technological world since the 1950s, when the earliest programmers asked computers to make sense of large sets of data. Programmers have increasingly refined the ability of machines to study data in order to detect patterns that allow computers to then organise information, identify relationships, make predictions and detect anomalies. Today, modern applications of AI have already given us self-driving cars and virtual assistants and have helped us detect fraud and manage resources like electricity more efficiently. Sectors as diverse as retail, sports, banking, manufacturing and healthcare have all found applications for machine learning and AI.

whitePaper | March 8, 2020

On February 19, 2020, the European Commission (Commission) published proposals for the regulation of Artificial Intelligence (AI) with potentially far-reaching implications both for users and developers worldwide. The proposals are contained in a densely written 26-page “White Paper” which in this alert we distill down to 10 take-away points. The White Paper, together with the other strategy documents published at the same time1, is vital reading for any business which participates in the data economy, and in particular companies that operate across borders.