Peer-Driven Insights

Generative AI

About this topic

Generative AI refers to AI techniques that learn a representation of artifacts from data, and use it to generate brand-new, unique artifacts that resemble but don't repeat the original data.

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Community Posts

Who is investigating on-premise alternatives to ChatGPT / Cloud-based GenerativeAI currently and if so, based on which available (open source) platforms?

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Agree or disagree: The GenAI tool landscape is too fragmented.

Agree — it’s hard to build a well-integrated stack59%

Disagree — we’ve found an all-in-one solution that fits our needs35%

Not sure — we haven’t invested in GenAI tools6%

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Looking ahead to the new year, what goals or ideas do you have about incorporating genAI into your software engineering department? Are there any specific strategies or new approaches that you’re considering?

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With AI Copilot at $30 per user per month (a 60% price increase compared to Microsoft Office's premium level), will your organization consider testing it? How do you assess the potential value and cost implications of AI Copilot for your organization? Are you inclined to test it despite the price increase?

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Is your organization actively using AI code generation to streamline software development processes?

Yes, extensively22%

Yes, to some extent58%

No, not yet16%

No, and not planning to5%

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Has anyone perfected the use of Gen AI to the point where it truly supercharges a search bar for technical help? After a great symposium, my company is all a buzz with Gen AI. I believe this has a fundamental change in the way that we provide our customers the exact content they need from our company library of technical information. One of the doubters posted this question. "Can you show me someone who has leveraged Gen AI to match up a customers technical question with the correct answer?"

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Has anyone had any success with evaluating the impact of using Generative AI tools such as GitHub's Copilot on the productivity or performance impact on developers? I see a lot of qualitative discussions about how developers say they are more productive, but how are you measuring that impact?

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Do you think that Grok (from xAI/Elon Musk) will fill a gap in the market? Do we need a “rebellious” chatbot?

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Who is using Grammarly Enterprise SaaS and in what use cases? I'm at the Dept. of Veterans Affairs and work in the Health IT space. I'm trying to help determine value of Grammarly Enterprise (at ~$15/user) as opposed the the free version. According to the sales rep, the Enterprise version provides HIPAA compliance, "snippets", audit logs, data loss protection, etc.

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What methods/practices for GenAI risk management or AI accountability SHOULD have been in Biden’s executive order on AI?

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If your org is still waiting to pilot GenAI, what’s holding things back? Choose the top reasons your company is waiting:

Cost21%

IP concerns43%

Security49%

No in-house experts28%

Other priorities19%

No use case20%

Distrust of GenAI vendors/companies12%

Poor quality of output10%

Another reason (comment to share)2%

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What's your chief concern about possible AI outcomes that might unfold in the future?

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Where does genAI fit in your application development strategy?

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Are practices for managing shadow IT applicable to GenAI tools? If not, how are you changing your approach in order to manage shadow AI at your organization?

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I am trying to figure out what I am not thinking about or considering. My staff want to use an AI Voice tool to create voice over for training. This one https://elevenlabs.io/ - What are the risks? Does anyone know the company behind this - are they legit and trust worthy? Where are they from?

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Are there any GenAI use cases where you would prefer in-house solutions over vendor-supplied ones or vice versa?

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