Thomas Been’s Post

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.” https://lnkd.in/g2s83qA6

Many AI experts say the current use cases for generative AI are just the tip of the iceberg. As generative AIs become more powerful and users become more creative with their experiments, more use cases will present themselves. https://lnkd.in/gpXEdPcV

In a recent CIO Online article by Grant Gross, Kjell Carlsson from Domino Data Lab shares key insights on generative AI in business. While companies are eager to adopt gen AI, many are still building portfolios of traditional AI. Advanced chatbots, digital assistants, and drug discovery in pharma show significant promise. Strategically adopt gen AI to maximize its value for your business. https://gag.gl/ucIYDN #GenerativeAI #AIstrategy #BusinessInnovation #PharmaInnovation

Enterprises experimenting with generative AI are focusing on a handful of use cases so far, while experts say those are just the tip of the iceberg. We need to get more creative in identifying scenarios where AI will bring value.

In a recent CIO Online article by Grant Gross, Kjell Carlsson from Domino Data Lab shares key insights on generative AI in business. While companies are eager to adopt gen AI, many are still building portfolios of traditional AI. Advanced chatbots, digital assistants, and drug discovery in pharma show significant promise. Strategically adopt gen AI to maximize its value for your business. https://gag.gl/ucIYDN #GenerativeAI #AIstrategy #BusinessInnovation #PharmaInnovation

In a recent CIO Online article by Grant Gross, Kjell Carlsson from Domino Data Lab shares key insights on generative AI in business. While companies are eager to adopt gen AI, many are still building portfolios of traditional AI. Advanced chatbots, digital assistants, and drug discovery in pharma show significant promise. Strategically adopt gen AI to maximize its value for your business. https://gag.gl/ucIYDN #GenerativeAI #AIstrategy #BusinessInnovation #PharmaInnovation

https://lnkd.in/e2a5vzyZ Last year's developments, from generative AI to multi-model AIs, have laid the foundation for substantial advancements in the AI space #aiops #genai #multimodalai

In a recent CIO Online article by Grant Gross, Kjell Carlsson from Domino Data Lab shares key insights on generative AI in business. While companies are eager to adopt gen AI, many are still building portfolios of traditional AI. Advanced chatbots, digital assistants, and drug discovery in pharma show significant promise. Strategically adopt gen AI to maximize its value for your business. https://gag.gl/ucIYDN #GenerativeAI #AIstrategy #BusinessInnovation #PharmaInnovation

In a recent CIO Online article by Grant Gross, Kjell Carlsson from Domino Data Lab shares key insights on generative AI in business. While companies are eager to adopt gen AI, many are still building portfolios of traditional AI. Advanced chatbots, digital assistants, and drug discovery in pharma show significant promise. Strategically adopt gen AI to maximize its value for your business. https://gag.gl/ucIYDN #GenerativeAI #AIstrategy #BusinessInnovation #PharmaInnovation