Growing an Attractive Workplace Culture

We believe that core values are an essential part of any organisation or project. Our company's core values help our team collaborate effectively, to develop empowering software solutions that help create value for our customers business. Moreover, these values help guide our team in developing their skills, knowledge, autonomy and career progression within a safe ...

Women in Big Data

Last night, I attended a meetup on the topic of Machine Learning and Predictive Analytics held by Women in Big Data. The talk highlighted some interesting and exciting ways this technology is transforming existing business models and improving customers experiences.

Digitisation or Digitalisation?

Recently, I came across some social media posts and articles that mentioned “digitisation”. I’m particularly used to saying/reading “digitalisation” (or autocorrecting digitalization). I’ve read a post on Linkedin where the author used “digitisation” and it didn’t appear to fit the context of the remainder of the post.

AI and Its Cousins

Artificial Intelligence (AI), Machine Learning and Deep Learning are trending subjects worldwide with applications being deployed in all business segments e.g. medicine, self driving vehicles and customer services.

Top 7 benefits that make Software-as-a-Service unique

Traditional on-premises software uses a perpetual license delivery model, which involves upfront charges to purchase a software for an indefinite period. Usually, technical support and updates come with extra costs and therefore once the license expires, budget holders/managers may stick with the same version that was paid for initially. All the responsibilities associated with hosting the software lie with the end user and their IT service teams. These responsibilities can include:

How to boost your teams output whilst minimizing costs

Traditionally, engineers perform calculations, run simulations and post-process results in a way that is fragmented which restricts team productivity, quality of results and project schedule. Many tools are used to derive modelling inputs (coefficients, material and fluid properties) which in turn are then manually inputted by the engineer into engineering simulation software to perform engineering design analyses.