Articles

Schrodinger’s Automation in AI and the Automation Bias

Posted on by Jen Stirrup
Automation and AI

Automation is one way in which we can have human-centered Artificial Intelligence. It can relieve us from repetitive and mundane tasks so that we can make the most of our human skills and talents. That said, we may have to use those human skills and talents as a check on Artificial Intelligence and its outcomes, or perhaps to solve the problems that appear when we don't open the box. We can be said to have an Automation Bias, where we assume that technology just works.

New Year’s Resolutions for your Business Intelligence, Data Science and Artificial Intelligence teams

Posted on by Jen Stirrup

What are your New Year's Resolutions for your Business Intelligence, Data Science and AI teams? Check out this post for recommendations on getting ahead for the New Year. I'll share some New Year Resolutions that I think Business Intelligence, Data Engineering, Artificial Intelligence and Data Science teams start doing from today.

Systems Thinking and Data Science: a partnership or a competition?

Posted on by Jen Stirrup
Systems Thinking and Data Science: a partnership or competing interests?

Why do organizations get stuck with their data? It is such a fundamental question. Often, this problem can be due to the organization concentrating solely on technology and data. However, organizations can be supported by a synergistic approach by integrating systems thinking with the data strategy and technical perspective. 

Supply chain… or supply hyperbolic plane? Identifying risk among cloud-based technology suppliers

Posted on by Jen Stirrup

Businesses need to maximise their multi-cloud investment because this will create a software supply chain where the organization is consuming software that intersects. Organisations are now looking at how they manage multi-cloud estates rather than a single cloud, and considering their software supply chain.