Data, AI and digital transformation will define the industry of the future. The die is cast. Without an industrial approach for analytics, there will be no future! Diamonds are forever Khepri, a deity of ancient Egypt, symbolized the morning rebirth of the sun. Khepri is also said to have inspired
Government procurement teams are responsible for managing billions of pounds of public expenditure, and taxpayers want more transparency on how their money is being spent. However, experts estimate that procurement errors, waste and abuse can cost central government up to 4.7% of procurement spend.[1] And when government procurement fraud scandals hit
Interview with Dr. Christian Rammer (ZEW), who leads projects as far as innovation economics and business dynamics at ZEW.
La transformation numérique est devenue un facteur déterminant de compétitivité pour les industriels. Elle leur permet de gagner en flexibilité, agilité et adaptabilité et ainsi de devenir des entreprises plus résilientes, capables de résister aux incertitudes et crises qui secouent leur marché. Pour assurer son avenir, l’industrie doit savoir tirer
L’Ecole Supérieure de Sureté des Entreprises (ESS-E) et SAS ont formé un groupe d’experts (issus du public et du privé) pour développer, en France, les méthodes, les formations et les outils d’investigations adaptés aux données massives. En fin d’année 2020, SAS et L’École Supérieure de la Sûreté des Entreprises (ESS-E)
Dutch project aims to increase safety of gall bladder surgery Predictive models and medical image analysis have the potential to transform health care delivery today. To accelerate the innovative approaches, teams around the world are converging in a global hackathon as organized by SAS to advance the field of health
With unemployment at a three-year high, the socio-economic impact of the COVID-19 pandemic has hit the UK hard. While significant progress has now been made on the clinical side of the crisis, and the success of the vaccination programme is a cause for optimism, the impact on the economy will
The time for experimenting with artificial intelligence (AI) is over. In a COVID-19 climate, it is important to be able to quickly scale up analytical models to industrial processes. SAS believes the solution can be found in democratizing AI. Most manufacturing businesses have large amounts of data at their disposal.
Interview mit Dr. Christian Rammer (ZEW). Er ist Projektleiter im Forschungsbereich Innovationsökonomik und Unternehmensdynamik.
Artificial intelligence (AI) is one of the most popular topics in the tech industry, along with IoT, cloud and blockchain, to mention just a few. Although it is a very promising technology, it is also connected with very high expectations, quite often beyond the capabilities that AI provides today. As
