Are you investing in generative AI?
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No19%
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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?
What are key ways in which your organization should hire affordable AI and data science talent? Check all that apply.
Recruit talent from diverse or non-traditional backgrounds (e.g. different degrees, institutions, or work experience)33%
Recruit less experienced AI talent with a high aptitude to learn 45%
Communicate the intrinsic benefits of the role (e.g., mission, culture, resources, opportunity for impact) 30%
Build talent pipelines through partnerships with academia and professional societies41%
Hire and upskill internal talent51%
Use specialized AI recruitment agencies10%
Other (please share details in comments)1%
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?
What’s the biggest hype vs. reality gap in AI pentesting today?
Coverage—AI claims full scan, but misses deep flaws49%
Speed—AI is fast but error-prone63%
Creativity—AI scripts can’t improvise10%
Integration—vendor tools don’t plug into DevSecOps27%
The early focus is on "exposure"/"myth buster"/"education" of the technology. There are ways too many unknown variables up in the air for trial.