Intelligent CIO North America Issue 48 | Page 84

FINAL WORD technologies . That puts a premium on listening , communicating , training and effective management to make the most of any AI investment – but also to navigate change and drive acceptance and engagement .
Equally , as CAIO sometimes I need to deliver clear steers and decisions . There have been situations where , at the end of the day , I just needed to clearly set direction and people take that as enough reason to cut through red tape and get to an outcome . Especially with AI , people value and are looking for permission to engage and for leadership .
Augmenting , not replacing business processes and interaction
AI is already having a major impact on some processes integral to being a business . Some of the opportunities here include smooth and accelerated human-computer interactions with natural language processing ( NLP ) opening up new ways for people to communicate with machines , including through everyday conversations . Product development , especially for digital products , can be massively accelerated , enabling enterprises to build and bring offerings to market faster .
Every employee should feel empowered to improve their AI literacy , regardless of which department they sit in .
Even on a simple level , AI can help end the ‘ terror of the blank page ’ – something I ’ m sure we ’ ve all experienced .
Whatever the task , coming up with initial ideas and making a start from essentially nothing is often the toughest part . AI can eliminate that paralysis by acting as a sounding board and virtual brainstorm partner , whether you ’ re an exec or a creative – especially key if you work remotely .
Tools like GPT4All , let me run LLMs locally on my workstation and its GPU . Those queries remain fully private and don ’ t go to the cloud .
Right now , I think it ’ s important to focus minds on automating tasks , not entire jobs or end-to-end processes .
The need for human involvement to guide and evaluate AI output makes the wholesale outsourcing of roles to AI systems far less likely than many think .
That said , there are some tasks that AI can automate , and many where it can augment human input , making work more consistent and efficient .
Any task that requires access to and analysis of a vast body of knowledge – such as a large number of research papers or databases of medical or financial information – can be seen as a promising candidate for LLM assistance .
And across all of this , it ’ s critical to employ tools like GenAI with a common , agreed idea of what ‘ good ’ looks like for the outcome you ’ re trying to achieve .
Where are we sailing next ?
AI is reshaping businesses fundamentally . An AI leader can help navigate transformation across your business as well as support and enable immediate tactical capabilities and value .
In all of this , it ’ s worth remembering that the inherent point and value of AI is that it allows new things to be done , in new ways , for the first time – it isn ’ t just ‘ business as usual with AI applied ’. That requires as much a focus on people and change as technology itself . It also requires open , collaborative leaders who can work across the board to help grasp the right opportunities , deliver small successes – and be open to learning about mistakes and pitfalls along the way p .
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