Acoustic Tealeaf (formerly Acoustic Experience Analytics and before that IBM Tealeaf; Acoustic has restored the former branding), is an AI powered application providing site visitor session recording and replay, anomaly detection, and struggle analytics.
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Amazon Rekognition
Score 9.6 out of 10
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Amazon offers Rekognition, an image and video visual analytics tool that is trained on locating and identifying labeled or tag-related objects, events, people, and also inappropriate content in images and video so that images and video can more safely and reliably be integrated and positioned in web applications or presentations after it conducts its analysis.
Tealeaf is a must for any site that has a key business process that drives revenue for a company. It is not limited to only capturing a small percentage of visitors to your site, it captures every visitor to your site. A lot has changed to the last year for Tealeaf for the good. There are many more options to for capturing data including a cloud and SaaS offering. Take a look again if you haven't seen it in a while.
Amazon Rekognition is well suited for all image and videos analysis. Also, deep learning projects for image and video can easily be done using this. It is very easy to use so a beginner can also use it.
Speed of searching for web sessions and users. This particular feature seems to impress me the most. When researching incidents where users report to have difficulty on our site, all we need is any of the unique identifiers of a user (email address used, IP address, user id) and we can locate their session(s) almost immediately in TeaLeaf.
Multiple conditional events - I really like how we can have events contain already existing events. This helps a great deal if issues being researched become even more complex.
IBM is still working out a solution for seeing Mobile App traffic in Tealeaf. What they have now allows you to see the response and request, but it doesn't show where the customer is actually clicking. They've promised that newer versions will be better with this.
Tealeaf is pushing a web based viewer, trying to make this the standard over the more robust and extremely useful desktop based Tealeaf Viewer. the Web Based viewer is slow and clunky and just not as flexible, but IBM insists on pushing customers towards it. Last I heard, they plan for their mobile solution to only work in the web based viewer.
Recently IBM moved all the support documentation for Tealeaf to the IBM Support portal instead of Tealeaf.com where it has been for years. This completely broke the in application Tealeaf Help. At the time of my last use of Tealeaf near the end of November 2013, when you tried to search help from the Tealeaf web portal, you were sent to the IBM support site, and once you logged in, the search request was lost and you had to start the search again. The search of the help files is also nowhere near as good as the original tealeaf.com help site. Also, if your users tried to use help, they were out of luck because only the Tealeaf Admins have access to the IBM support portal. At first they insisted that they were not going to fix this for older versions of the software, but instead only release a fix when the next version of Tealeaf was release. There was a large discussion about this on the LinkedIn forum and IBM has said they're working on a solution, but I'm not sure when/if that will get release.
Tealeaf is a scalable product that works with complex user-facing environments. It is one of the leading products in the market that helps identify user pain points and increases defect identification. The user interface is simple, clean, and easy to use. Lastly, Tealeaf Support provides good customer service and is eager to help solve chalenges we face along the way.
Very much suitable for many applications where the image processing features are secondary and independent of any domain. This makes it a general solution and the recognition features are returned in a JSON object in response to the API called made which is a very simple process.
