Peer-Driven Insights

Machine Learning (ML)

Community Posts

How well has your organization historically innovated and adopted emerging technologies, and what lessons still apply today for AI implementation? As IT leaders, have you seen teams outside of IT adopt emerging technologies easily? Are you using any of those strategies to help with AI adoption?

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Choose your preferable search engine and mention the reason below:

Solr15%

Elasticsearch66%

Algolia5%

Other (Please specify)12%

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How are you measuring and demonstrating the ROI of your AI investments at scale?

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What "tells" have you noticed for AI-generated text (i.e., typical words/phrases, or other patterns indicative of GenAI)?

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Does anyone has experience with Databricks? We would like to learn about your experience.

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Do you intend to increase your spend on AI projects this year?

Yes.53%

Haven't decided yet.34%

No.11%

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Is anyone working on automation of EA Practice activities such as design and/or roadmap development through the use of AI tools? This could include but not be limited to strategy, analysis, solution development, governance submissions, standards review, white papers etc. We are using ARIS as an EA repository and are considering the use of the AI companion or perhaps even standalone AI tools to import, process, analyses & publish. Happy to discuss ideas for future implementation.

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Is your organization pursuing large-scale AI enablement, such as enterprise-wide access to tools like Microsoft Copilot, or are you focusing on high-value use cases within specific functions? Why have you chosen that approach?

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Do you think agentic AI (AI Agents) will eventually replace developers, or will it become a tool to enhance their capabilities?

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We are looking to test People Skills Agent from Microsoft Copilot. I would be interested to hear if anyone test it and how was your experience with it. Asking also for the ethical AI side of it.

Which AI initiatives have delivered the most measurable business value in the past 12-24 months, and how did you measure that value?

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Can you share an example of an AI opportunity that initially seemed promising but didn't deliver the expected value? How is that informing your current approach?

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Do you believe AI will render traditional IT roles redundant in the next decade?

Yes, definitely9%

Possibly61%

Not sure23%

Unlikely7%

No, not at all

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Where have your best AI opportunities come from? Have they been driven by business requests, IT initiatives, competitive pressures, or other sources? How has this evolved over time?

Machine Learning (ML)

Community Posts

How well has your organization historically innovated and adopted emerging technologies, and what lessons still apply today for AI implementation? As IT leaders, have you seen teams outside of IT adopt emerging technologies easily? Are you using any of those strategies to help with AI adoption?

Choose your preferable search engine and mention the reason below:

How are you measuring and demonstrating the ROI of your AI investments at scale?

What "tells" have you noticed for AI-generated text (i.e., typical words/phrases, or other patterns indicative of GenAI)?

Does anyone has experience with Databricks? We would like to learn about your experience.

Do you intend to increase your spend on AI projects this year?

Is your organization pursuing large-scale AI enablement, such as enterprise-wide access to tools like Microsoft Copilot, or are you focusing on high-value use cases within specific functions? Why have you chosen that approach?

Do you think agentic AI (AI Agents) will eventually replace developers, or will it become a tool to enhance their capabilities?

We are looking to test People Skills Agent from Microsoft Copilot. I would be interested to hear if anyone test it and how was your experience with it. Asking also for the ethical AI side of it.

Which AI initiatives have delivered the most measurable business value in the past 12-24 months, and how did you measure that value?

Can you share an example of an AI opportunity that initially seemed promising but didn't deliver the expected value? How is that informing your current approach?

Do you believe AI will render traditional IT roles redundant in the next decade?

Where have your best AI opportunities come from? Have they been driven by business requests, IT initiatives, competitive pressures, or other sources? How has this evolved over time?

Have vendors delivered the value that they promise in their AI products?

How should I manage AI expectations with my CEO?

Community Posts

How well has your organization historically innovated and adopted emerging technologies, and what lessons still apply today for AI implementation? As IT leaders, have you seen teams outside of IT adopt emerging technologies easily? Are you using any of those strategies to help with AI adoption?

Choose your preferable search engine and mention the reason below:

How are you measuring and demonstrating the ROI of your AI investments at scale?

What "tells" have you noticed for AI-generated text (i.e., typical words/phrases, or other patterns indicative of GenAI)?

Does anyone has experience with Databricks? We would like to learn about your experience.

Do you intend to increase your spend on AI projects this year?

Is your organization pursuing large-scale AI enablement, such as enterprise-wide access to tools like Microsoft Copilot, or are you focusing on high-value use cases within specific functions? Why have you chosen that approach?

Do you think agentic AI (AI Agents) will eventually replace developers, or will it become a tool to enhance their capabilities?

We are looking to test People Skills Agent from Microsoft Copilot. I would be interested to hear if anyone test it and how was your experience with it. Asking also for the ethical AI side of it.

Which AI initiatives have delivered the most measurable business value in the past 12-24 months, and how did you measure that value?

Can you share an example of an AI opportunity that initially seemed promising but didn't deliver the expected value? How is that informing your current approach?

Do you believe AI will render traditional IT roles redundant in the next decade?

Where have your best AI opportunities come from? Have they been driven by business requests, IT initiatives, competitive pressures, or other sources? How has this evolved over time?

Have vendors delivered the value that they promise in their AI products?

How should I manage AI expectations with my CEO?