Do you agree with this prediction? Through 2023, 50% of IT leaders will struggle to move their AI projects past proof of concept to a production level of maturity.

Product Management Machine Learning (ML)

Strongly Agree23%

Agree50%

Neither agree nor disagree11%

Disagree14%

Strongly Disagree1%

235 PARTICIPANTS

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Is your organization using AI for vulnerability scanning or bug hunting?

Yes100%

No

We are in the process of implementing a chatbot for our local government site with intentions to deploy for internal use only for testing. We are having problems quantifying is the cost around token consumption. I know that cost varies depending on the model used, but does anyone have any useful estimators. Consumption calculators I have found don't seem particularly useful. What methods for estimating cost did you use? Did you use number of searches against the site?

For data lakehouse platform utilization, our use cases vary between 1. respond to smart applications' data enquiries and 2. AI/ML data exploration. The first use case type mandates low latency responses, while the second consumes computational resources for long periods. Should we create two different lakehouse platforms to serve both use case types?

Did AI features affect the overall revenue growth of small businesses that provide digital marketing services?

How are you currently using machine learning supported data mining at your organization?

Have already deployed19%

Will deploy in the next 12 months47%

Will deploy in 12-24 months21%

Plan to deploy in the future8%

We're not interested in this technology.3%

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