If you’re not yet building tools using GPT-3.5 Turbo or GPT-4, what’s preventing you?

They’re too expensive37%

No one on our team can do this yet50%

We don’t have a need13%


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Senior Director Engineering in Travel and Hospitality, 10,001+ employees
Lot of internal processes yet to be determined on the scale of usage of internal data to be used for these tools
Director of Enablement, 501 - 1,000 employees
I choose ‘privacy concerns’

The OpenAI foundation have already had several data breaches over the last few months. If we’re reliant on feeding their global data model with our sensitive information, it leaves us potentially in a bad place.

While I’m an AI evangelist at the best of times, there’s a long way to go before the data cordons are in place to safeguard enterprise data. It kinda feels like we’re in the unregulated Web 1.0 era currently….
Director of IT, Self-employed
Resources is still the bottle neck.

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Scalable AI49%

Composable Data and Analytics41%


Data Fabric34%

Engineering Decision Intelligence25%

Augmented Consumers7%

Edge Computing26%



Limited environment/Infrastructure resources32%

Inability to quickly identify the root cause of CI/CD pipeline failures45%

Lack of standardized CI/CD pipeline templates across the organization53%

Integrating security tools - inefficient security implementation leading to false positives37%

Poor communication across business and product teams/coordination challenges26%

Cost/resource management26%

Implementation of CI/CD into on-going projects and workflows22%

Internal resistance: training issues, culture, etc.14%

Inefficient implementation of CI/CD due to lack of expertise, poor training, etc.18%

Poorly written unit and acceptance testing9%



CTO in Software, 201 - 500 employees
Without a doubt - Technical Debt! It's a ball and chain that creates an ever increasing drag on any organization, stifles innovation, and prevents transformation.
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