DELOITTE cannot devise a strategic plan for any action large or small – that requires cooperation with the workforce , one that has been properly trained to understand how AI solutions can plug into their daily , weekly , monthly , quarterly , annual – and so on – routines .
Think about what you and I do in any day – how much of our time is spent managing routine tasks . We all know this is a significant time sink and has only trended upward in recent years .
All of us – I guess – probably spend more than half of our time managing operational outcomes that are puzzling in terms of process efficiency . Absolutely ! That is what we are here to solve – invoicing , financial planning , human resource capability delivery . It ’ s 2022 – the need to do everything by hand , by document , is coming to an end , and the companies that do not capitalize , this will
“ The rise of AI in the enterprise is more aligned with addressing specific , tactical problems in the routine , rising-volume , and human-error prone components of work today – we are improving productivity and accuracy ”
JAG BANDLA AIOPS . D LEADER , DELOITTE CONSULTING impact their workforce experience , recruiting and retention . Companies start by talking about their strategy and perks but a well-run , efficient organisation in core operations – that is a differentiator and class of its own .
We have read your website ’ s overviews of AIOPS . D – what do you mean by ‘ beyond predictive ?’ When we say this , we are referring to the different eras of data management , in terms of how users have interacted with data sets . Historically , data has just grown in volume – so , a workforce had no choice but to be reactive and non-integrated in their response – enterprises made critical business decisions based on the best available information . Not quite the era of going with your gut , but not really the era of real-time data-based decision-making , either .
Then , technology solutions promised proactive monitoring . This is a fantastic progression but what does the user do with the information once they receive it ? The response could differ by employee , by department , by what was going on with that person that day . We want to have system recommendations that are actionable , to generate more predictability in operational outcomes .
Humans can decide the parameters of decision-making - and technology can optimize those choices , operating within these rules . We are choosing to have a more manageable and engaging workday – that is what AIOPS . D can offer – the ability to have a human and machine workforce responding in a coordinated manner to real-time events , to drive decision-making support . Not only does this raise the IQ of your enterprise in realtime , it enhances the EQ responses from your employees by freeing them of the frustrations of the ‘ process of ’ vs . the outcomes they were trained and hired to achieve .
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