StandupBot is an easy to use bot that automates your team’s standups, check-ins or any kind of recurring status update meetings, without breaking the bank. Trusted by thousands of teams to run over a million standups in our 8+ year history.
Unlike other tools that try to do way too things and are super confusing to manage, we focus on what you really need to automate your team’s meetings:
⚡️Fast setup: From install to first meeting in under 60 seconds. Great defaults to get you going and super easy to change to your needs.
👥 Multiple teams and projects: Create as many standups or status meetings you need for different projects or teams.
🕘 100% asynchronous: Everyone participates when it’s more convenient for them.
📃 Standup Report: Receive an easy-to-read report via email and Slack when the meeting is done.
👀 “Just following” mode: Select who's actively participating in meetings and who's only following through reports.
📆 Flexible scheduling: Schedule your meetings at the days and times you need. Automatically excuse people from meetings when they’re on vacation.
✅ Participation reports: Team- and individual-level participation reports, so you can easily see who needs some encouragement to share their updates more frequently.
🔔 Automatic reminders: We’ll be the friendly drill-sergeant for your team reminding everyone that hasn’t submitted their standup to do so before the meeting window closes.
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Based on our record, Google Cloud AI seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Second, TensorFlow services on GCP should be super easy to use. However, on the AI & ML page of the GCP website, there is only one dedicated product for TensorFlow, which is the TensorFlow Enterprise. None of the rest of the products even mention TensorFlow as a promotion. - Source: dev.to / over 1 year ago
I'm biased, but giving my honest personal opinion here, I think this sounds like a bad idea. I'm not optimistic about Databricks long term. They are a data prep company masquerading as a data science company. Nothing wrong with that, but Spark resources are expensive compared with SQL, and they are at risk from all fronts (Cloud providers, Snowflake, AI/ML platform players, etc.). I see their Databricks controlled... Source: about 2 years ago
You may try to train an AI model, and then perform the check. This seems to be a use case for Google Cloud platform AI engine. You'll want to research on this: https://cloud.google.com/products/ai. Source: over 2 years ago
When it comes to ML/AI, IMO, GCP has AWS beat. The operationalization story around Google's AI Platforms is miles ahead of AWS in my experience. Source: over 3 years ago
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