How best do you recommend that Gen AI tools augment workforce transformation, towards future of work?

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President & Chief Data Officer in Services (non-Government)a year ago
We use Gen AI to help with writing policies and documentation. It can help us get started and then we can go through it and update as needed. It can save quite a bit of time. It can also be used to write code if you give it a sufficient prompt. 
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Director of Product Management in Services (non-Government)a year ago
Gen AI will future our quest for a true digital twin to workforce. Think of hyper automation/integration/technology as hands and legs to get the work done, then Gen AI could be the brain and spinal cord for making use of these arms autonomously for many parts of what a workforce does.
Examples:
-Developers armed with GenAI and automation could get framework and good amount of development done by feeding the requirements
-BPM task force can get many of their work (not just mundane ones) done and they focus on the deviations
-HR onboarding and setting new joiner up for success can be handled autonomously
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Chief Data Officera year ago
One of the most exciting prospects to me is the ability to do interdisciplinary, meta-research.
If you think about a subject like FinOps, the ability to pull together research from cloud ops, finance, procurement, IT, data management, etc is a fantastic productivity boost.
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Global Product Director - Retail Media Platforms | Personalisation Science | Media Measurement in Services (non-Government)a year ago
A lot of manual work including some creative workflows will be automated. Given that the value chains will be reconfigured with these AI tools, companies can analyze the following broad themes:

a) Map out the value chain of different internal processes and identify use-cases which can be automated e.g creating internal documents, power point slides etrc.

b) Map out customer facing processes and understand how they can be done completely differently using generative AI example - creative creation and AB testing  for marketing campaigns.
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CEO in Services (non-Government)a year ago
Some important aspects have already been mentioned in the other comments. In our projects, we have exciting use cases in sales and in MDM/PIM: The main drivers for AI that I'm noticing in my conversations right now is automating content creation ("WHY do I have to fill in empty fields when most could be filled in from the context of comparable products?") and preparing product data for specific channels and audiences.
Last week we had a workshop with a customer, where the question was "whether AI can ever create product texts as good as a human". The problem is the question itself. Writing product texts in most industries is not about art, it's about selling. And what humans can't do is write 1,000 texts per hour, which are then automatically tested with 1,000 website visitors with the aim of creating the best sales texts... 
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