1. AI got all the airtime
IN A NUTSHELL:
Be it the anchor discussions or the sidebar conversations, AI is (still) the dominant topic, by far.
With company Boards and the C-Suite keen to be first movers in hitching AIs potential to business ambitions – all in the quest to drive their competitive edge – the adoption appetite is largely being driven from the top-down.
And as the ‘shock-and-awe’ novelty wanes, and the leading AI vendors double down on education, conversations on AI are beginning to mature. IT leads are now focussing on the foundational works needed to bring AI to life.
TAKEAWAYS:
Cascading up
Starting with infrastructure and data (the migration, the organisation, the permissions), through to the implementation and training (and with every step wrapped in security) – it’s become increasingly clear AI needs to be considered in the whole, rather than a silo.
Unique opportunities
Although every participant is agreed on AI’s potential, what form that takes is different for all. For some, it’s the Large Language Models. For others, it’s machine learning. For others still, it’s automation. Rather than viewing AI as the fix-all, those framing AIs potential as another tool (albeit a big one) to support specific, targeted business goals are seeing early wins.
Infrastructure. Ready.
Most people in most organisations report their infrastructure layer as being ready to deliver on AI. And those able to deliver on automation are finding themselves better placed to deal with infrastructure constraints.
Data difficulties
With any AI project standing or falling on the quality, availability, and security of data, a renewed focus on the fundamentals is increasingly seen as the first hurdle to clear. How is it collected? How is stored? How is it governed? How is it secured? Nailing down the answers is proving to be thorny for some. Others, viewing data though a ‘search-ready’ lens, are reporting to be well progressed.