6.2k views1 Upvote9 Comments

Global Product Director - Retail Media Platforms | Personalisation Science | Media Measurement in Services (non-Government), 1,001 - 5,000 employees
At a very high level, below are some of the key impact areas

a) Ability to generate new revenue streams 
b) Reconfigure existing workflows taking advantage of Gen AI capabilities
c) Reduce cost by automating manual processes

CEO, Self-employed
Generative AI is impacting businesses by revolutionizing content generation, aiding product design, enabling personalization, enhancing creativity, improving data augmentation, powering virtual assistants, creating animations, aiding healthcare and drug discovery, optimizing financial analysis, improving language translation, enhancing supply chain operations, and aiding fraud detection. Despite its benefits, businesses must also address ethical concerns and potential biases associated with generative AI.
Chief Information Officer in Construction, 10,001+ employees
Organisations are experimenting with Generative AI and is being used as assistive technology. Many have done initial study and identified the use cases where it can be effective from the word go. Some of them are as below :

- Content generation
- Natural Language processing
- Customer support & experience
- Personalisation

VP, Data and Opex, 10,001+ employees
Making it easier for users to work with large content sets like regulatory changes
Chief Technology Officer in Software, 51 - 200 employees
1. Giving more leverage to data
2. New insights into how to perform analytics in a better way
3. Automation of redundant reports.
4. Content generation
CTO in Transportation, 11 - 50 employees
Content generation, documentation, code generation, virtual code pairing.
Going forward we expect that  it will be involved in most if not all of our workflows
CTO in Software, 11 - 50 employees
Generative AI has been found to be useful in the following areas:

- Automation,
- Content Generation,
- Analysis, and
- Personalization
CDO in Software, 10,001+ employees
I confess that I was very bullish, and after 6 months I am stating to see the limitations. While there are meaningful use cases, ROI is are around those use cases that can access the right proprietary data (with right quality) otherwise is a commodity play, with definitely short term ROI, far from being a sustainable advantage. E.g. I have a portfolio of 35 experiments, use cases of different expected value/complexity. Today only 2 are really game changers, the rest is great ROI short term but anyone can do (still love them!).
Director of Legal in Software, Self-employed
We have a long ways to go with Generative AI. A long ways to go in terms of ability to provide these tools enough data to train on, the ability for people to create new things without needing to provide a specific prompt (this is likely to occur sooner rather than later), and in terms of overcoming bias. That said, it is exciting to see this type of solution in play now and shows people the power of AI. The most impactful aspect of Generative AI I believe will be the ability to create new knowledge and create new prototypes of things quicker and faster than before.

Content you might like


Yes, but not enough, we want/need to ramp up39%


No, but I expect this will change soon6%


1.7k views1 Upvote1 Comment

Yes. As much as it can be for now.51%

No way. Not by a long mile.49%