Advanced chatbots, digital assistants, and coding helpers seem to be some of the sweet spots for gen AI use so far in business.
Copyright: cio.com – “Top 7 Generative AI Use Cases For Business”
The launch of ChatGPT in November 2022 set off a generative AI gold rush, with companies scrambling to adopt the technology and demonstrate innovation.
Many of the AI use cases entrenched in business today use older, more established forms of AI, such as machine learning, or don’t take advantage of the “generative” capabilities of AI to generate text, pictures, and other data. Legacy chatbots, product recommendation engines, and several other useful tools may rely only on earlier forms of AI.
Some industries such as biotech are finding ways to use gen AI, but many enterprises experimenting with the technology have found a limited number of use cases so far, says Kjell Carlsson, head of AI strategy at Domino Data Lab, provider of an enterprise AI platform. For many enterprises the return on investment for gen AI is elusive, he says.
“The reality for a lot of users is that they just don’t have enough [information] to make an AI strategy leveraging generative AI use cases, and they’re not going to get to enough value quickly,” he adds. “They have a couple of use cases that they’re pushing heavily on, but they are building up this portfolio of traditional machine learning and ‘predictive’ AI use cases as well.”
Many AI experts say the current use cases for generative AI are just the tip of the iceberg. More uses cases will present themselves as gen AIs get more powerful and users get more creative with their experiments.
Thank you for reading this post, don't forget to subscribe to our AI NAVIGATOR!
However, a handful of gen AI use cases are already bubbling up. Here’s a look at the most popular and promising.[…]
Read more: www.cio.com
Advanced chatbots, digital assistants, and coding helpers seem to be some of the sweet spots for gen AI use so far in business.
Copyright: cio.com – “Top 7 Generative AI Use Cases For Business”
The launch of ChatGPT in November 2022 set off a generative AI gold rush, with companies scrambling to adopt the technology and demonstrate innovation.
Many of the AI use cases entrenched in business today use older, more established forms of AI, such as machine learning, or don’t take advantage of the “generative” capabilities of AI to generate text, pictures, and other data. Legacy chatbots, product recommendation engines, and several other useful tools may rely only on earlier forms of AI.
Some industries such as biotech are finding ways to use gen AI, but many enterprises experimenting with the technology have found a limited number of use cases so far, says Kjell Carlsson, head of AI strategy at Domino Data Lab, provider of an enterprise AI platform. For many enterprises the return on investment for gen AI is elusive, he says.
“The reality for a lot of users is that they just don’t have enough [information] to make an AI strategy leveraging generative AI use cases, and they’re not going to get to enough value quickly,” he adds. “They have a couple of use cases that they’re pushing heavily on, but they are building up this portfolio of traditional machine learning and ‘predictive’ AI use cases as well.”
Many AI experts say the current use cases for generative AI are just the tip of the iceberg. More uses cases will present themselves as gen AIs get more powerful and users get more creative with their experiments.
Thank you for reading this post, don't forget to subscribe to our AI NAVIGATOR!
However, a handful of gen AI use cases are already bubbling up. Here’s a look at the most popular and promising.[…]
Read more: www.cio.com
Share this: