How many of your failed AI initiatives were “good failures” (i.e., resources used were worth the learnings/innovation)

Data & AnalyticsInnovation & Emerging Trends

All/almost all10%

Most65%

Some21%

A few4%

None

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How often, in a week, do you engage with tracking Service Level Objectives or other performance indicators?

Never6%

Sometimes70%

About half the time17%

Most of the time4%

Always

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In your opinion, how involved in AI governance strategy should HR be? What should their seat at the AI governance table look like?

As a leader of your company and a key decision maker, 

Do you consider safe to use Chat GPT OpenAI API to boost your inhouse AI capability like Chatbots for ex and feed enterprise data / KMS to it 

OR you think it is wiser to have your own version of Generative AI / LLMs and to run it on prem and air gapped with no access to internet ? 

Do you feel confortable building an on prem version with inhouse skills ?

It is safe to use OpenAI API28%

Not Safe to use OpenAI API45%

Not Sure if safe or not34%

Yes we are confortable building and training our own LLMs14%

No we are not confortable building and training our own LLMs5%

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How do you maintain your data catalogs? Do you have a dedicated team for this or do you encourage all users to contribute to maintenance?

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Why do you think there are so few mature AI-driven autonomous pentesting solutions on the market, and why does this topic seem to generate more hype than in-depth technical discussion?

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