Glean vs. IBM Watson Explorer

When I am interviewing candidates and they start asking specific questions that I dont know the answer to, I use Glean chat to quickly find answers. It helps save time because I can really quickly find the answers to anything. I think if leaders care about their employers, they would get Glean!

Incentivized

The Watson Explorer is great because it potentially replaces a meriad of other low-level analytics products that we would need to use for data analytics and data mining. WEX isn't really suitable much beyond doing text and data analytics and performing machine learning, so if your team doesn't really have a use-case that fits all of these categories, it is worth looking at an alternative.

Incentivized

• Single search capability across all systems
• High accuracy of search results
• Saves you time in day to day work
• Offers customization with the homepage and go links

Incentivized

• Free to try - It's possible to use most of the useful features of Watson Explore on their trial/demo accounts.
• Super well-designed data analytics tool - Most of the tools and features of the explorer are really useful, and truly help you fully understand the depth of any format of textual data.
• Extensive sources compatibility - WEX can retrieve data from a large range of sources, and the compatibility there is quite good as well.

Incentivized

• The AI Chat can definitely improve. I will ask it questions about our sales process and it should be referencing documents that I know are in our company Glean, but it will give me the wrong answer.

Incentivized

• Support is just OK, like most of the other IBM Watson products. The setup/integration is really hands-on, but it's also problematic because support later may take a considerable amount of time.
• UI could still use a little more improvement - part of the administration and sources dashboards are hard to navigate.
• The Application Builder is a great part of the product, but hard to learn/understand - this is where we needed the most support from IBM and tutorials/documentation.

Incentivized

I give it a 5 because of the chat not giving accurate answers and also sometimes I will search for documents that I know used to be in Guru before we had it but now it is no longer in Glean

Incentivized

Personally I am not from the evaluation team but I feel ChatGPT , Gemini are good as well.

Incentivized

Google Cloud offers a Natural Language product, but it is just an API. This API doesn't offer the useful visualizations of relations, analytics, and graphs that IBM Watson Explorer offers on their interface. For this reason, we chose to go with IBM WEX. For later stages of our production, we decided to use Google's NLP API because we found that it was quick to integrate into production after studying data and developing models using IBM WEX.

Incentivized

• Quickly able to find answers for customers allowing me to be more proactive with them
• allows me to quickly access info for all follow up emails for customers

Incentivized

• Positive - Trial/demo period. This was really useful for us to figure out what features of WEX we liked most and how difficult it would be to integrate WEX into our workflow.
• Negative - On-boarding was long and almost always requires support from IBM support, unlike most other products this advanced.
• Positive - WEX replaced a large selection of alternative products we would have to use for the same functionality, and having all of that function in one place was definitely helpful.

Incentivized