JAA'S Analyst Blog - Current Posts

Since the relaunch, JAA's traffic has been really growing, as is our following, and your support is greatly appreciated! For those who have signed up for the blog via RSS, we hope you continue following, and sharing with others is also appreciated.

You should also know that the majority of JAA's thought leadership is published on sites other than this blog, and the best way to follow my broader coverage is to subscribe to my monthly newsletter.

A short note for navigating this section - scroll below for the most recent posts, and then for more, click on the Blog Archive box, where you can view all of my posts, going back to the beginning in March 2005.

Just thought I’d share this before the week is out. The current edition of my newsletter - JAA’s Communications and Collaboraiton Review - went out to subscribers yesterday. If you’ve had a chance to check it out yet, I’d love to hear your thoughts, and for everyone else, subscribing is real easy - just go here.

Aside from the regular content recapping highlights from my research and industry activities, is our monthly podcast - Watch This Space. I do these in conversation with long-term colleague, Chris Fine, and this time around, our focus was on robocalling, which has been in the news lately on several fronts. The core issue is what I view as “restoring trust in telephony”, and it has major implications in our space, especially around customer care.

If that piques your interest to listen to our podcast right now, then the sooner you subscribe, the sooner you can do that. Otherwise, I’ll be postiing it publicly in a couple of weeks, where you can find it along with our earlier podcasts in the Podcast Archive on my website.

Also, if you’re new to our podcasts, I’ve recently added real-time transcription (shout-out to Otter.ai), where you have the option to read along if not convenient to listen. What’s really cool here is that by clicking on the transcript page, the words are highlighted in blue, so you can follow along in real time, word-by-word, both reading and listening.

The transcription isn’t perfect, but it’s pretty good, and I love doing this to showcase how good AI speech-to-text is getting. I don’t mind you seeing the typos - warts and all - since there will always to be tricky words and phrases that AI doesn’t quite catch - but once corrected, the learning gets hard-wired, and those errors don’t come back again.

Finally - I know, I know - we’ll soon be publishing our podcasts on public platforms like iTunes - it’s very much on the to-do list!