H2O.ai vs. SnapEngage

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.

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It helps business grow, if your business is more reliable on marketing or if your business is in starting stage implementing SnapEngage to your website will give a kick start to your business because it helps to get close with the customers which are in need with those quick questions and responses we are getting from customers using chat agent.

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• 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

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• Allows team members to see type in real-time before it is submitted. This enables us to gather information for responses in a more timely manner.
• We can see which of our team members are available, busy, or not-available.
• Ability to see some biographical information of chatters and to sync information with Salesforce.

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• Better documentation
• Improve the Visual presentations including charting etc

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• The admin dashboard is the hardest to navigate of any tool I've ever used! THere are 7 tabs in the left-hand panel. Just within the one tab that reads "Settings" (there is a separate tab for "My Account", also Permissions?) there are 9 tabs at the top (which include names like "Agent Settings", "Integrations", "Design Studio", "Options", "Hub"), then at least another 8 tabs WITHIN those 9 tabs, giving you a total of 14 different pages of settings to search through, again, JUST in the Settings tab. What the heck?!
• Something as simple as notification settings are spread throughout the 14 different settings pages mentioned above. Rather than having one area where you can enter email addresses for notifications, I've had to search through the 14 pages and use Ctrl+F on multiple occasions to fully remove a user from all the notifications they received. This should be much simpler!

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I give SnapEngage a 9 due to how successful our company has been while using it. Unless prices were raised by an insane amount, I don't see us using a competing service.

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

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I have never needed to contact them for support.

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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.

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We actually demo'ed LiveChat and LivePerson and besides SnapEngage having a better UI and ease of use, the support from their team was worlds and away above the rest. They let us run an extended demo, gave us constant support, and made sure we felt comfortable before we went live with the system.

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• 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

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• It has allowed us to provide more service with a much smaller team than our phone team.
• It provides us with data helpful to not only ourselves, but our marketing team as well.
• It's customizable so it allows us to create and update our platforms immediately when needed.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info