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.
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.
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.
Spreadsheets form a huge part of our work-life, acting as to-do lists, lightweight databases or complex engineering tools. Since the 1960’s, spreadsheets have been a cornerstone of productivity in many industries.
Cloud computing is a modern way of hosting and accessing software applications, data storage and compute power over the Internet. The power of the Cloud allows your IT team to focus business needs and less focus on tasks such as procurement of servers, capacity planning and other related topics.
Embarking on a digital transformation journey can be an enormous undertaking for an established organisation. With the harsh economic times faced by the Oil & Energy industry in recent years and threats to the sustainability of the oil industry itself, embracing digital technologies is necessary to survive.
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:
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.