The best standup bot for keeping your team on track during daily async standup meetings. Sup can facilitate a standup meeting, retrospective meeting, or other meetings asynchronously for your team using either a chat-based interface or a dialogue window.
Conduct standups & follow-ups: Sup provides team standup updates. You can see how everything works with direct questions and answers. Asynchronous standups and multiple follow-ups are a click away.
Vacation Tracker: Request, approve, view, and manage vacations with Sup. Holiday tracking is easy with regular updates and a dashboard of employee holiday analytics.
Create surveys & polls: Remote working can become a lot easier when you can make quick decisions based on surveys and quick polls. Make it simple for your team to voice their opinions.
Track team mood: Sup? Is that what you want to ask your team? Using mood tracking, understand your team's emotions. To gauge team morale, use it with a follow-up like standups. The anonymity of responses allows for honest answers.
Integrations: Sup x GoogleSheets. Sup integrates with Google Sheets to create a new Google Sheet file at the end of every month and sync the follow-up responses. Trusted by small and big-leaguers like Iterable, Adobe, PWC, Stripe, MailChimp, Starbucks, Mixpanel, Dell, Warner Bros, Wise, Perceptyx, Udaan, and more.
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We use Sup bot extensively in our team to facilitate standup, End-of-day follow-ups, holiday tracking - all without leaving Slack.
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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