Machine Learning as a Service (MLaaS) is a relatively new type of platform offered in the cloud. These are cloud services designed to help build, train, and then run predictive models incorporating machine learning (ML). ML can be handy for any organisation, whether it’s in accurately predicting sales data for the next month in a small business, through to a large enterprise building a custom chatbot for customer service.
One of the key pillars of Agile is trusting teams to self-organise. In practice, this often looks like teams picking their own tools to use. While it might sound like a scary, messy concept, if you have good talent they’ll be motivated to stay organised and on track with whatever solution they choose - or roll over to a better one when they find it.
Software development is an ever-evolving field. What was cutting edge five years ago is now standard or surpassed by something even faster, more effective, or more feature-rich. One of the changes that the field has undergone in recent years is swapping over development, test, and deployment software environments to the cloud.
Creating a digital roadmap for your business should be a key priority as we head into 2020 and beyond. If you haven’t yet started the digital transformation process, then it’s about time you begin the journey.
The allure of cloud computing isn’t just in its portability – its in the fact that you can wind up saving money on computing infrastructure and resources, too. Azure is Microsoft’s cloud computing platform, akin to Amazon’s AWS. If you are already running MS Office in your organisation, then considering rolling over some functionality to Azure holds quite the allure.
With so many job titles bandied about these days - tech evangelist, brand warrior, code ninja - it can be difficult to tell what’s a ‘real job’ and what’s simply another name for a job that already exists. Product Manager and Product Owner are two job titles that sound very similar, yet have unique differences.
Fixed price contracts can be rather tricky in a Scrum environment. Classic software development and Agile software development are very different from one another, and things that work in one environment don’t necessarily work in another.