Share these talks and lectures with your colleaguesInvite colleagues
Artificial intelligence pitfalls and how to avoid them
Artificial intelligence (AI) is a mainstream technology and has become a cornerstone in digital transformation initiatives. Founded on sound academic principles, why do so many projects fail? Getting AI into business pipelines is a relatively new discipline that faces several of the same challenges as traditional software development and many that are specific to the discipline. This paper aims to highlight the common pitfalls that hamper AI projects, from initiatives that are interesting science projects to abstract dreams. Putting the proper controls in place will drive success while achieving the fine balance between killing innovation with too much governance or creating the Wild West with too little. There are many foundations needed to help mitigate many of the common pitfalls and are significant contributors to getting AI over the line and into production in a way that creates market differentiation.
The full article is available to subscribers to the journal.
Matt Armstrong-Barnes is Chief Technologist for Artificial Intelligence at Hewlett Packard Enterprise and has a passion for artificial intelligence, systems integration and DevOps. As a strategic leader, he works to drive innovative technical solutions across industries and technology trends. He has a diverse background as he has worked in the IT industry for over 25 years. He has held numerous senior leadership positions, winning, architecting and delivering sizable, complex transformation programmes. Matt holds a BSc (Hons) in computing science, is a Fellow of the Institute of Engineering and Technology, a Chartered Fellow of the British Computer Society and a Chartered Engineer.