As the AI revolution continues, airlines can struggle to develop specific use cases rather than relying on generic models. Jake Bengtson, VP of AI Solutions at Striim, believes that rectifying memory issues is key to upgrading AI applications and achieving more successful results.

The trick right now that everyone is trying to understand is how to get the right context to my models at the right time to make sure you can ground it in the truth that you have within your enterprise.

While airlines’ reliance on legacy technology has long been discussed, Bengtson believes the industry should stop looking at them as a hindrance and instead move to creating opportunities.

Everyone has access to the same LLMs at the moment, and our ability to differentiate between competitors will be in bringing together data and adding that as context.

Bringing data together might be one thing, but doing so in real-time so AI models are working with the most up-to-date information available represents another challenge. This is where Striim come in, helping airlines to break down data silos so AI has the right data at the right time. Bengtson remains optimistic about the challenges ahead, noting that we’re still in the early days of AI adoption and that the path to success will only become clearer with time.
It’s a matter of going through and experimenting with things. I think more and more we’ll see organisations learn how to better evaluate the models for their specific use cases.
🎥 Watch the video to get the full interview.
Questions asked include:
  • Do you think at the moment the aviation industry, with all the hype around it, is deploying AI for the sake of AI?
  • How are legacy systems holding aviation back from deploying AI successfully?
  • 3. What needs to change for AI deployment to be impactful to a business and useful to a customer?

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