H2O.ai vs. Zoom AI Companion

Most suited if in little time you wanted to build and train a model. Then, H2O makes life very simple. It has support with R, Python and Java, so no programming dependency is required to use it. It's very simple to use. If you want to modify or tweak your ML algorithm then H2O is not suitable. You can't develop a model from scratch.

Incentivized

If you have a colleague who is based in a remote location or is part of a remote team, Zoom is a vital collaboration tool for your day-to-day work. Zoom AI Companion is easier and more effective for working with a colleague at a remote location rather than making a call. You can share your non-verbal reactions through video, which brings a close experience to face-to-face interactions.

Incentivized

• Excellent analytical and prediction tool
• In the beginning, usage of H20 Flow in Web UI enables quick development and sharing of the analytical model
• Readily available algorithms, easy to use in your analytical projects
• Faster than Python scikit learn (in machine learning supervised learning area)
• It can be accessed (run) from Python, not only JAVA etc.
• Well documented and suitable for fast training or self studying
• In the beginning, one can use the clickable Flow interface (WEB UI) and later move to a Python console. There is then no need to click in H20 Flow
• It can be used as open source

Incentivized

• Large meeting rooms that our marcomms team is able to navigate and problem solve with quickly and easily.
• Ability to schedule meetings with internal and external team members for workshops. Provides us with several tools to communicate and share ideas without having to even turn your mic on.
• AI companion to remember points that were made and provide a summary to those who were unable to attend after the meeting.

Incentivized

• Better documentation
• Improve the Visual presentations including charting etc

Incentivized

• Although the whiteboard is nice, it's not as advanced as I'd like to be. For example, navigating it can sometimes be tricky, and it doesn't have nearly as many features as a tool like Miro.
• The Zoom integration for Outlook has issues, it doesn't always sync
• The React feature on Zoom calls doesn't always work and sometimes isn't visible

Incentivized

It's really easy to use - the AI icon is everywhere all over the place in the Zoom client so it's easy to be able to leverage AI whenever you need it, and similarly in the meeting it's easy to find and to use. I don't have complaints here that I can think of

The overall experience I have with H2O is really awesome, even with its cost effectiveness.

Incentivized

Both are open source (though H2O only up to some level). Both comprise of deep learning, but H2O is not focused directly on deep learning, while Tensor Flow has a "laser" focus on deep learning. H2O is also more focused on scalability. H2O should be looked at not as a competitor but rather a complementary tool. The use case is usually not only about the algorithms, but also about the data model and data logistics and accessibility. H2O is more accessible due to its UI. Also, both can be accessed from Python. The community around TensorFlow seems larger than that of H2O.

Incentivized

Zoom has better compatibility compared to Teams at our institution. It also supports a wider array of codecs. We like using Zoom despite the fact that both Teams and Zoom are supported at an enterprise level at our academic institution. Zoom also seems to have better video and audio quality and lower drop rates.

Incentivized

• Positive impact: saving in infrastructure expenses - compared to other bulky tools this costs a fraction
• Positive impact: ability to get quick fixes from H2O when problems arise - compared to waiting for several months/years for new releases from other vendors
• Positive impact: Access to H2O core team and able to get features that are needed for our business quickly added to the core H2O product

Incentivized

• It has allowed us to work seamlessly with hybrid work environments
• It has allowed us to have clients or vendors share seamlessly when they are in office. Makes it look like we have our [...] together, thanks!
• Other options we were looking at (barco) would have been such a large chunk of money to get even half the rooms we have done. You are top notch!

Incentivized