Decision-making systems draw heavily on the data that organisations hold and have been a key beneficiary of advances in analytics over more than three decades. As AI has become embedded into corporate IT systems, it has found itself with a key role in helping organisations make complex decisions. To understand more about this, Enterprise Times talked with Fred Laluyaux, CEO at Aera Technology.
Laluyaux is not a recent convert to AI or decision-making systems. He has been involved in analytics and business intelligence for 30 years. As AI developed, he saw an opportunity to add that to what he was working on.
Interestingly, Laluyaux does not see any one technology as driving the future of decision-making solutions. He says it is about “data and analytics, a whole set of engines, from machine learning to agentic to multi-dimensional modelling, heuristics, the ability to automate decision, the workflow, the processing of all of that, and the engagement. All those different practices coming together to deliver the automation of decisions.”
For many companies, the struggle is moving beyond the quality of the data to make those decisions. Laluyaux points out that data is an enabler of decisions, and what companies want is decision augmentation. Why? “Because they know that they don’t make good enough decisions, fast enough, close enough to the point of impact.”
Laluyaux talks about how “born in digital” has changed the way we make decisions. It requires faster responses, access to greater information and, importantly, knowledge across the entire supply chain.
To hear what else Laluyaux had to say, listen to the podcast
Where can I get it?
You can listen to the podcast by clicking on the player below. Alternatively, click on any of the podcast services below and go to the Enterprise Times podcast page.
