More than half of firms now using generative AI

Summary

Gartner conducted a survey of 1,400 executive leaders and found that more than half (55%) of organizations have increased investment in generative AI since it emerged recently. It revealed that the main focus for generative AI investment is growth goals, followed by cost optimization and customer experience. Some have questioned whether there is a generative AI bubble, and 57% identified incorrect outputs and model bias as points for particular concern. However, 78% of respondents believed the benefits of generative AI are greater than its risks.

Q&As

AI Comments

👍 It's great to see that more than half of firms are now using generative AI and that many are investing in application security solutions to mitigate potential risks. This shows that companies are taking this technology seriously and prioritizing its potential benefits.

👎 There are inherent risks with generative AI that need to be addressed, and it's concerning that only 57% of IT and information security leaders identified incorrect outputs and model bias as points of concern. This could lead to further risks that may not be mitigated.

AI Discussion

Me: It's about generative AI and how more than half of firms are now investing in it. The article also talks about the risks associated with the technology and how businesses are currently trying to mitigate them.

Friend: Wow, that's really interesting. It makes sense that firms would be investing in this technology, given that it has the potential to be so transformative. But it's also concerning that there are risks involved.

Me: Yeah, definitely. It's important for businesses to be aware of the risks before investing in generative AI and to take precautions to mitigate them. They should also be aware of the potential for model bias and incorrect outputs, which could lead to unintended consequences.

Action items

• Research the potential risks associated with generative AI and develop a plan to mitigate them.
• Explore the potential benefits of generative AI and develop a strategy to take advantage of them.
• Investigate the current market trends and identify potential opportunities for leveraging generative AI.

Technical terms

Generative AI

Generative AI is a type of artificial intelligence (AI) that uses machine learning algorithms to generate new data from existing data. It is used to create new content, such as images, videos, and text, from existing data.

Piloting

Piloting is the process of testing a new system or product in a real-world environment before it is released to the public. It is used to identify any potential issues and to ensure that the system or product meets the desired specifications.

Gartner

Gartner is a research and advisory firm that provides insights, advice, and tools for leaders in IT, finance, HR, customer service, and support.

ChatGPT

ChatGPT is a generative AI tool developed by OpenAI. It is a natural language processing system that can generate human-like conversations.

Application Security Solutions

Application security solutions are tools and services designed to protect applications from malicious attacks. These solutions can include firewalls, antivirus software, and intrusion detection systems.

Similar articles

0.9346481 Generative AI risks loom as businesses increase investments

0.9217895 State of IT report: Generative AI will soon go mainstream, say 9 out of 10 IT leaders

0.9080813 10 generative AI must-reads

0.90243584 AI adoption hinges on reskilling, IBM research finds

0.9020668 AI for execs: How to cut through the noise and deliver results