Akto executive director sees AI readiness divide within the channel
Sam Loveridge believes not all organisations are in the best position to adopt AI.
AI is poised to be an all-encompassing change, but some organisations are still taking a wait-and-see approach before properly committing time and money.
Having seen quite a few of the major technology shifts in the past, Sam Loveridge, executive director, Akto, is seeing a bit of a “timidness around properly stepping in and executing change plans”.
Loveridge finds organisations fall into two broad camps — those that have kept pace with major technology shifts and others that have skipped some steps — and it determines how easily they can adapt to AI.
“Businesses that have learned from previous waves, whether it be the API revolution, business process improvement or how to organise for big data, are probably stepping in more confidently because they've got the platform and the thinking behind themselves,” he said, speaking from the Boomi World Tour event in Sydney this week.
“Whereas, organisations that skipped a few of those evolutions or maybe have leadership that have turned over or haven't quite got the experience are probably struggling to know where to start,” he added.
Government agencies and organisations in regulated industries with higher security and governance requirements are also finding it harder to take the first steps. “People knowing what to trust and whether the outcomes will be done securely and safely is the big one we see with these groups,” he told CRN Australia.
One of the other issues he raised is the distinction between probabilistic and deterministic outcomes with AI and the need to help organisations understand the difference and how to meet their compliance requirements.
The distinction matters because not every business decision can be left to AI. For organisations with strict compliance requirements, knowing where AI can be used to help interpret a request, and where a defined process still needs to control the outcome, is critical.
“That's one of the biggest challenges as a partner to bring that thought leadership into the client space ... to have a framework or a decision making approach for organisations to better make investment decisions in AI and know which direction to go in,” he said.
It folds into a bigger challenge, which is organisations often have a strategy, but when they bring vendors in to do the implementation, important elements are missing.
This is where he sees real opportunities to extend the partner’s role before implementation — helping customers understand what they are trying to achieve before they commit to a particular technology or project.
“We’d much rather play earlier in the strategic thinking space, while it's cheaper and easier to get a consolidated design to execute more effectively,” he said.