Technical Meetings - do your technical teams (IT) have regular meetings where in deep technical problems are discussed and analyzed? how often?

Applications & Platforms Data & Analytics Database +3 more

No16%

Yes - daily51%

Yes - once a week34%

140 PARTICIPANTS

6.5k views4 Upvotes2 Comments

IT Manager in Transportation, 10,001+ employees

Technical weekly meetings - my favorite kind of meetings.

IT Manager in IT Services, 501 - 1,000 employees

Technical meetings work best with the multiple-disciplinary team approach to drive the outcome, establish trust and manage risks. The once a week would facilitate enough time and pace for the collaboration.

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Are short term bans of the use of GenAI applications and tools (such as ChatGPT) a good idea for end users in most organizations? For context see this article on the State of Maine Government's directive before you vote: https://www.govtech.com/artificial-intelligence/chatgpt-generative-ai-gets-6-month-ban-in-maine-government

Applications & Platforms End-User Services & Collaboration People & Leadership +4 more

Yes - Maine did the right thing. There are too many security risks with free versions of these tools. Not enough copyright or privacy protections of data.31%

No, but.... - You must have good security and privacy policies in place for ChatGPT (and other GenAI apps). My organization has policies and meaningful ways to enforce those policies and procedures for staff.52%

No - Bans simply don't work. Even without policies, this action hurts innovation and sends the wrong message to staff and the world about our organization.12%

I'm not sure. This action by Maine makes me think. Let me get back to you in a few weeks (or months).3%

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Who will WIN Generative AI Future (GPT/ChatGPT)?

Data & Analytics Disruptive & Emerging Technologies End-User Services & Collaboration +1 more

Open AI (Game Changer: adoption w/ChatGPT)40%

Google (Game Changer: inventor of Transformers, Bard)20%

Microsoft (Game Changer: real time BingGPT+Search plus enterprise enablement)18%

Meta (Game Changer: LLM that can run on single GPU)7%

Amazon (Game Changer: TBD)4%

X.AI / Elon Musk (Game Changer: TBD)3%

Baidu (Chinese tech giant, with GPT version released in March)3%

Someone completely new5%

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I'm looking for advice or even recommendations for outsourcing Salesforce development. We are using Salesforce Enterprise Edition, the current version is 58.0 and is essentially a development platform rather than the traditional off the shelf SF configured. For anyone who has outsourced such development, what was your approach?

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Haven't outsourced yet but Outsourcing Salesforce development can be a strategic move, especially for a customized instance like yours. Here’s a recommended approach:

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What is a useful definition to use when trying to identity and manage an Enterprise's Critical IT systems in the context of a financial services industry? What dimensions or questions should be considered to "score" and arrive at an objective assessment of whether a system should be regarded as critical?

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IT Analyst in Software, 51 - 200 employees

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