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

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VP of Product Management in Banking, 10,001+ employees
GenAI tools can be very helpful in improving the productivity of the manpower, some of the ways in which they can help:

a.Enhance Productivity and Efficiency: They can automate repetitive tasks and free up employees to focus on higher-value work.

b.Provide Knowledge and Information Access: They can act as powerful knowledge assistants, offering quick and accurate information to employees.

c.Support Training and Onboarding: They can provide personalized and interactive learning experiences to aid in employee training and onboarding.

d.Assist Decision-Making and Analytics: They can offer advanced analytics and predictive insights to support data-driven decision-making.
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Chief Strategy Officer, Self-employed

Thanks Gaurav for your insights. Do you consider any role for Gen AI tools for Product Design and Documentation? 

President, CEO, & CDAO in Services (non-Government), Self-employed
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. 
Director of Product Management in Services (non-Government), 10,001+ employees
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.
-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
Chief Data Officer, 2 - 10 employees
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.
Global Product Director - Retail Media Platforms | Personalisation Science | Media Measurement in Services (non-Government), 1,001 - 5,000 employees
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.
CEO in Services (non-Government), 201 - 500 employees
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... 
Chief Data Officer in Media, 2 - 10 employees
I’m looking for use cases first and tools second. What clients are discovering in guided workshops is that many use cases and workflows are well supported by current tools. While there are benefits, the value is incremental, so evaluating underserved and altogether unserved use cases is best.

Finetuning is one of the most significant opportunities to develop high-value tools. Businesses that understand how to curate data sets and develop customized tools will have an advantage in workforce augmentation. It’s an iterative process, and the sooner businesses get started, the better.
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Chief Strategy Officer, Self-employed

Starting now and identifying those use-cases and curating those data sets are some great suggestions!  Thanks a lot for sharing these insights, Vin. Your experience and expertise to bring the best out for the end-users whilst cutting through the hype has always been a great value add to the community ! 

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