How do you expect AI to impact traditional IT roles such as sys admins or network engineers?

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CIO2 months ago

We're allowing people to use AI through a governance model. If you want to use some piece of AI, you have to go through the governance process and get approval. From our traditional roles perspective, such as system admins and network engineers, I don't think that is changing right now. But we can anticipate some of those things to change in the long future.

Worldwide Strategy & Portfolio, Cross Industry (Supply Chain, ESG, Engineering, Customer Experience, Intelligence Automation, ERP) in Manufacturing2 months ago

Organizational responsibilities are changing. AI technologies are normally for very targeted areas. We need to manage how technology is used and understand what's happening under the covers when it comes to data. AI is going to be like electricity at some point - it's there or it's not, but it's how we're interacting with it.

CIO in Education2 months ago

I'm all in on generative AI and the future of AI, but I question whether AI needs to be baked into everything we do. I think it's causing us delay or keeping us grounded. I'm not sure that needs to be our end state. I'm trying to distill AI into bite-size pieces for quick time to value and momentum.

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VP of IT in Healthcare and Biotech2 months ago

I'm working with my team to foster a culture of curiosity around AI. I envision a future where AI becomes part of your skill set, automating repetitive tasks and providing predictive maintenance of platforms. I'm trying to inspire my team to understand how AI can be incorporated into everything they do. This is particularly important when you consider generative AI and how it's starting to incorporate into workflows. Our goal in a healthcare environment is to provide real-time insights for better patient care. This means AI is coming into the clinical applications and my clinical applications team needs to understand and be able to work with AI.

CIO in Manufacturing2 months ago

We're also taking a cautious approach. We're looking at tweaking human skills to leverage AI. As a mid-size manufacturer, it's not prudent for us to develop our own models. We're focusing on how to use what's available safely and how to train our staff. I see an impact on the security side and data loss prevention. I see opportunities in data wrangling and being able to use AI appropriately to get the results we're looking for.