IBM Watson Discovery vs. Klippa

Whether using it as a standalone search tool, integrating with other IBM Watson products, or using the API to integrate with proprietary or third-party systems and applications, Watson Discovery addresses these and many other scenarios where document search is required -- understand- if here documents can be pdf, doc, txt files, websites, among other formats --, don't confuse Watson Discovery with EDRMS (Electronic document and records management system) software, Discovery goes further, allowing text search to be done within a context using natural language (NLU) and returning not only the search term but also insights and related issues. File indexing works very well, and training Discovery so that documents and technical terms are learned a bit of work, but it can be reduced by using some of the learning models already trained and available for use.

Incentivized

Klippa does well with invoices without graphics and logos. If you can convince your suppliers to remove their branding and submit plain company names it will perform better. One issue that I could not overcome was when a supplier used "SO" (for Sales Order) as the prefix for an invoice. Every time the OCR ran it deciphered this as "S0" S-Zero. I wouldn't downgrade my rating based on that though. My one significant disappointment was I was led to believe that they would tailor the template for us. There was some minor work around our local tax rules but when it got to specific coding for our purchase order numbers the work ceased. To be fair, I may have misunderstood the scope of what changing these templates was included in the agreement. Either way, we could work around it so it wasn't a major flaw.

Incentivized

• Help us analyse and extract useful data points and insights.
• Powerful API which is both fast and accurate.
• Can analyse almost every type of file including word, pdf, excel, txt etc.
• No need to hire anyone or a freelancer to extract the data.

Incentivized

• Identifies invoice numbers.
• Extracts text from any angle - 45 degrees and upside down.
• Extracts line items from a printed invoice.

Incentivized

• I believe AI should be more flexible about providing data. However, it's understandable that you need to provide the details you need in a more specific and detailed way.
• The interface could use more tweaking. Being new to the program, it was kind of hard to navigate.
• Luckily, there was a customized feature of the dashboard that I could set up, and having something that you know where you are placed always feels familiar and comfortable.

Incentivized

• More flexibility in tailoring the templates to suit individual customers.
• Better documentation around the API; as I recall it was hard to find.
• Commercial follow up. No one has contacted me since my initial purchase.

Incentivized

IBM Watson Discovery has the best user capabilities and easily transform business decision-making portfolio. The automation system saves time used in data analysis as opposed to manual research that consumes a lot of time. The visualization across the dashboard enables my team to interpret complex data and use it to make reliable marketing decisions.

Incentivized

Similar to all IBM Watson and Salesforce product solutions, the overall support would be a 10/10. Their provided FAQ's help with frequently experienced issues and if still unable to figure something out, their customer service representatives are always super responsive. With instant chat functions available, it is easy to ask a quick question rather than sitting on hold.

Incentivized

To be entirely honest, in my review, I have used Elasticsearch in the past, but not in a way similar to that I am using Discovery, and I cannot honestly say that I can compare the two because I used Elasticsearch in infrastructure management and monitoring setup while using the ELK stack (Elasticsearch - Logstash and Kibana).

Incentivized

Klippa is optimised for invoices. Wins hands down.

Incentivized

• IBM Watson Discovery has had only positive impacts on our overall business objective of providing quality customer service and timely resolutions for our clients.
• The use of this integration has made life easier for our customer service team, who can now resolve cases for customers quicker and easier.
• Our company prides itself on the service and expertise we're able to provide for our customers and IBM Watson Discovery has only made that task easier for our employees to perform.

Incentivized

• To early to tell, our app has been delayed due to other COVID related activities.

Incentivized