How is Generative AI impacting business?
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 changesChief Technology Officer in Software, 51 - 200 employees
1. Giving more leverage to data2. 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
Yes35%
Yes, but not enough, we want/need to ramp up39%
No19%
No, but I expect this will change soon6%
660 PARTICIPANTS
Yes. As much as it can be for now.51%
No way. Not by a long mile.49%
519 PARTICIPANTS
Director of IT in Healthcare and Biotech, 501 - 1,000 employees
Overall fit of the provider's services is key in any recommendation when selecting one of the big 3 clouds for any organization. Multi-cloud is significantly more difficult than most companies realize, and selecting a ...read more
a) Ability to generate new revenue streams
b) Reconfigure existing workflows taking advantage of Gen AI capabilities
c) Reduce cost by automating manual processes