IBM offers Watson Discovery, a natural language processing (NLP) application with options to measure sentiment, detect entities, semantic roles, and other concepts.
N/A
Livefyre (discontinued)
Score8.2 out of 10
Enterprise companies (1,001+ employees)
Livefyre was acquired in 2016 and became part of the Adobe Experience Manager suite of products. The product has since been discontinued, and is no longer available for sale.
Overall, IBM Watson Discovery is an amazing technology that we use with our clients to address various business problems, but the biggest challenge has always been about ingesting, analyzing, enriching, and searching huge collections of documents and allowing our end users and SMEs to be able to search for what they need to reduce the time and efforts spent daily on a manual search through various collections of documents. We have successfully managed to reduce manual work by over 80%, and now our SMEs are being used for the skills they have to gather insights rather than do manual work.
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
I was strictly the implementor of Livefyre (for my company only). That task alone was at least 3 weeks worth of work. From a user standpoint, Livefyre is a good product which is why this review is strictly about how difficult it was to implement. Therefore, if a colleague was to ask me if I recommend Livefyre, it's not a straight answer. Questions like, 'how fast do you need it?', 'how centralized is your user database?', 'do you want social login?', all come into question and were details that made my job not easy (hence, my review of 5/10 for suggesting it to others). Once implemented, Livefyre is a great product (notice my overall review is higher), but based on my experience with implementation, it certainly requires a senior developer's dedicated time and patience to set up exactly as desired. For smaller companies with small/simple user bases and websites, the process may be more straightforward, but from my experience, it wasn't out-of-the-box at all.
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
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.
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
Implementation was not easy. Although flexible, I personally wrote at least 1,400 lines of code to get this implemented over a few week's time.
The social login aspect is cool, but again, hard to implement. They did not write any of those modules, although they could have. This required senior-level developmental skills and a knowledge of how social media is interfaced with programmatically. Lots of questions arose from this and it was difficult to implement with virtually no help from Livefyre, other than to provide the hooks into their system for when users were validated. I had to write at least 2 separate login/redirection scripts to accomplish this flow.
CSS tweaking was tricky. We could override lots of common CSS classes, but to get things just the way we wanted it, I ended up writing LOTS of jQuery listeners and functions to transform the output into exactly what we wanted. This was a surprise since the software was sold to us as being 'fully customizable'.
Documentation was sufficient, but not great. Getting the flow of the callbacks that are fired wasn't clear at first, and sometimes did not work as expected.
It should be noted that, after this review was published, Livefyre contacted me stating they now have better documentation and process for implementation (for version V3, specifically) and urged me to revise this review. However, I can only write of my experience with V2, and it WAS difficult to implement over 3 weeks of dedicated time. Another developer on my team implemented version V3 and his evaluation is very similar to mine, claiming much difficulty with the CSS customization.
We feel we have a real partnership with Livefyre and we both make each other better. Their customer service has been phenomenal even during a time of rapid growth.
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.
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
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
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.
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
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
Discovery differs from its competitors due to the better ease of implementation and the high level of natural language recognition, it is equal in integration resources such as API and workflow or process pipeline, but it loses in the price for a high volume of documents and/or research. If you own or plan to use other services from the IBM Watson family, there is no doubt that Watson discovery is your best option. Another important point is if you plan to use a cloud or on-premise service (local server or private cloud).
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
We felt Livefyre was more innovative and better at SEO. It felt like we were working with a partner for the long haul who was interested in our business and how to improve it.
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
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
