Dael Williamson

Nov 8, 2024 | interface.media | Harry Menear |Dael Williamson

Interest in implementing AI is truly global and industry-agnostic. However, few companies have established the foundational building blocks that enable AI to generate value at scale. While each organisation and industry will have their own specific challenges that may impact AI adoption, there are four common barriers that all companies tend to encounter: People, Control of AI models, Quality, and Cost.

Oct 29, 2024 | digitalisationworld.com | Dael Williamson

Artificial intelligence (AI) has been one of the most hyped technologies in recent years, promising to revolutionise all industries from healthcare to finance. However, despite its enormous potential, many are struggling to get underway with implementation. In fact, research indicates that just 17% of organisations are expected to fully integrate AI by 2030, far lower than the early expectations that once fuelled the AI buzz.

Aug 27, 2024 | europeanbusinessmagazine.com | Dael Williamson |Emea Cto

By Dael Williamson, EMEA CTO,DatabricksInterest in implementing AI is truly global and industry-agnostic – yet few companies have established the foundational building blocks that enable AI to generate value at scale. While each organisation and industry will have their own specific challenges that may impact AI adoption, there are four common barriers that all companies tend to encounter: People, Control of AI models, Quality, and Cost.

Jun 5, 2024 | comparethecloud.net | Dael Williamson

Having easy access to data is critically important in today’s era of generative AI. For many organisations, this is not yet the case, as their legacy code hampers them from developing the advanced AI systems that they need to propel their business forward. Legacy, or out-of-date, code can have significant performance issues and scalability limitations, not to mention huge maintenance costs which can eat away at IT budgets.

Apr 29, 2024 | digitalisationworld.com | Dael Williamson |Emea Cto

The past few years saw companies aggressively pursuing investments in AI. Every company surveyed in a recent MIT report stated that they plan to increase their AI spending over the next year, with half saying it will increase by over 25%. So, how can companies ensure they are keeping pace with this AI innovation race, whilst being conscious of finite resources?