The top 5 Challenges of Implementing AI into Mission Critical Operations
In the latest episode of the Omdia Crit Comms Circle, Paul Bremmer and Ildefonso de la Cruz, are discussing at the top 5 challenges they see that AI systems will have to overcome before being implemented into mission critical operations. They talk directly with ChatGPT before moving on to discuss these top 5 challenges.
They asked ChatGPT directly:
- Can you give us an overview of what ChatGPT is and how it works?
- Can you give an example of a specific industry where ChatGPT has been implemented and the impact it has had?
- How does ChatGPT's ability to generate human-like responses make it a valuable tool for control room operators?
- What potential applications for ChatGPT can we expects to see in the near future?
- Can you discuss any challenges or limitations that operators may face when incorporating ChatGPT into their workflow?
So, what are the top 5 challenges AI will face before implementation into mission critical environments:
- Reliability
- Trust
- Regulation
- Integraiton with existing systems
- Robustness
According to de la Cruz and Bremmer, there is a great amount of potential for AI to radically shape mission critical environments of the future, but it is important to carefully consider these challenges to ensure that AI systems being deployed are reliable, trustworthy, and robust.
At this point in time, OMDIA is working on a comprehensive assessment of the IoT hardware, services and software market ecosystem that will shape the mission critical communicaitons industry.
Your collaboration in this study is invaluable.
You can connect with Ildefonso de la Cruz or Paul Bremner on LinkedIn to participate in this study and receive an insight summary document. This document should be a valuable tool in aiding future product planning and marketing efforts.
Ildefonso de la Cruz: https://www.linkedin.com/in/ildefonsodelacruz/
Paul Bremner: https://www.linkedin.com/in/paul-bremner/
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