At AE, we deliver analytics projects on a daily basis and as a result we can experience from the front row that data-driven companies simply perform better than others. As data experts, we can all understand that “data is the new oil” and to put this philosophy into practice we have developed a unique data-driven innovation method to define your next best data product. Sounds interesting right?
COVID-19 and the measures taken to contain it have had an enormous impact on society, and on almost every industry. Travel and leisure have surely been the most negatively affected by the recent stress test, while pharma giants are positively pressured by the urgent demand for a vaccine and other medical supplies. For some e-commerce stakeholders, almost every day is Black Friday.
Envisioning the Next Normal, then, has made many an expert wonder: should we make our supply chains more resilient, or rather the ecosystems in which they operate? AE is a firm believer in the latter. Read on to learn why and how we envision it so.
As a web security specialist, it’s important to stay on top of the evolutions in the security world. A few weeks ago, we sent ten of our technical consultants to the “Mastering OAuth 2.0 and OpenID Connect” course by security specialist Philippe De Ryck. We'd love to share our top 10 key takeaways with you.
Despite the enthusiasm for the digital transformation to a digital manufacturing future, two out of three companies piloting digital manufacturing solutions fail to move into large-scale rollout (Industry Week). Our experience learned us there are 3 dimensions to consider in your journey:
- Business Dimension
- Technological Dimension
- Organisational Dimension
The technological dimension of course is the one considered in most cases. And it is the enabler to a smart factory indeed. However, fail to balance technological actions with a clear focus on business goals, or to embed this new technology into your organisation and the people working in it, and you’re guaranteed not to meet your goals.
Due to the rapid acceleration in new coronavirus literature, it becomes difficult for the medical research community to keep up. There is a growing urgency for innovative approaches, like recent advances in Natural Language Processing, to understand and analyze the abundance of medical/scientific articles.