Has GenAI changed your software developers’ output?

Engineering Machine Learning (ML)

Yes, they produce more work now19%

Yes, they produce less59%

No, their output is the same11%

Don’t know8%

Not using GenAI for software development1%

83 PARTICIPANTS

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Digital transformation isn’t just about new tools, it’s about changing how teams work. Key lessons I’ve observed: 1. Start with process bottlenecks, not technology 2. Empower cross-functional teams 3. Measure outcomes, not outputs What has been the most surprising lesson your teams have learned during a transformation?

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How long does your organization retain original systems logs used to filter SOX-related actions into a system that requires review of the logs and retains the filtered logs for seven years? Does your organization consider those original system logs records subject to record retention requirements, or supporting information used to create the SOX records?

90 Days15%

365 Days38%

3 years31%

5 years8%

7 years8%

Other (share in the comments)

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When you’re starting a new leadership role in software, do you take time to find quick-win projects early on? What sorts of low-hanging fruit have you had the most success solving?

What is the most interesting/helpful/unique tool you're using right now that no one is talking about?

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Google introduced a new A.I. milestone called Multitask Unified Model, or MUM, that can simultaneously understand information across a wide range of formats, including text, images, and videos, and draw insights and connections between topics, concepts, and ideas. Will this model give Google a competitive edge in the market?

Yes75%

No16%

Unsure8%

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