Part 5: Looking Ahead
This is the second installment in Part 5 in our 5-part series, where BackBox Field CTO Irfahn Khimji talks about the dangers of unverified AI outputs and what's needed to use them effectively.
When users can't understand what data AI is using and the reason for the recommendation, they can't trust the business decisions they make. To get better results from AI in the future, enterprises will demand more explainability, transparency, and accountability from AI models and from vendors that use AI in their tools.
For more details, watch the video below:
Be sure to check out other blogs and videos in this series, including:
- How will AI evolve over the next five years?
- What does success look like if AI is done right?
- What mindset should leaders adopt?
For more information on using AI for network automation, visit our BackBox Platform Page. Ready to get started? Request a demoto see our solution in action.
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