reNotes video example:
Connect Collaborative - Results Accelerator
Disclaimer: Content created by reNotes is an example only. reKnow does not own the original video content and all content on this page, including content derived from the original video content, are the property of the video content owner. Being featured as an example does not imply the video content owner is a reNotes user.
Video : Results Accelerator
Presented by Craig thomler, COO reKnow
The Connect Collaborative is a business network helping members build meaningful relationships and advocates for their businesses. One of its regular events is the Results Accelerator.
This Results Accelerator featured Craig Thomler, cofounder of reKnow Pty Ltd, discussing their Summarizer and reNotes solutions for helping professionals and organisations raise their productivity.
Content created using reNotes
AI Summary (unedited)
The article discusses how professionals often have difficulty managing their time and determining what information to read and what to leave on the shelf. It also describes how Reno aims to help professionals with this problem by providing a tool that can help them manage their time and information more effectively.
This company has developed a product that uses AI to summarize complex documents, making it easier for people to make decisions based on the information. They have also developed a product to help convert video and audio content into written form, to make it more accessible to people who rely on written content for search engines.
Podcasters can use read notes to quickly and easily create summaries of their episodes. Read notes uses AI to do the heavy lifting, but the final product is still a work produced by humans.
The goal of the new content summarization tool is to help people who are having challenges with all sorts of content, by providing a quick summary. The tool can be used to summarize articles, podcast episodes, or even government reports.
Sunset AI is working on a summarization tool that can take large documents and quickly produce a summary of them. The tool is still in early development, but is already showing promise. One challenge that the team is facing is that errors in names and places in the original document will be repeated in the summary.
So the one thing we recommend to people is that if you're going to get the transcript of your video or audio, feel free to check it through a machine learning, but just check the names in us. This is because if the names are wrong, the machine learning will just repeat that error. Craig Thomler also mentions that their pricing model is subscription-based, and that the cost for 2 hours of transcriptions is $9/month.
The discussants talk about the importance of productivity, and mention the possibility of hosting an event focused on productivity hacks and tips. They also mention that the Connect Collaborative has started hosting events, with the Avon event being an example.
This person Craig Thomler is talking about how AI is going to increasingly be used to help us amplify what we can do and how it can improve efficiency in various ways. He also mentions that it is impossible to solve the problem of AI missing major points entirely, but that running multiple summaries can help reduce the risk of that happening.Article (unedited)
In today's fast-paced world, we are constantly bombarded with information and it can be difficult to keep up. Thankfully, there are tools available that can help us manage our information overload. Reno is one such tool that uses artificial intelligence (AI) to help make knowledge more usable for organizations.
reKnow takes the form of summarizing large, complex documents into smaller, easier-to-digest summaries, as well as transcribing audio and video content into written form. This is extremely useful for busy professionals who don't have the time to wade through long pieces of content. The machine learning algorithms used by reKnow are constantly improving, making the summaries more accurate and concise.
There are several pricing models available for ReNote, a service that offers transcriptions of audio and video content. The first is a pay-as-you-go model, which is suitable for one-time projects. The second is a subscription-based model, which is ideal for users who need transcripts on a regular basis.
reKnow offers a variety of productivity events, including the AI Accelerator workshop. This workshop is designed to help businesses learn how to use AI to be more efficient. If you're struggling to keep up with the ever-increasing flow of information, consider attending one of these events. You'll walk away with valuable tips and tricks that will help you be more productive.
Original transcript used by reNotes
Transcript: 4160 words
Unknown Speaker
All right, but you can go, Craig. Wonderful. So I'd love to introduce Craig Craig is stepping in this morning. And I'm just, I've had a complete blank. Some reason I had in my mind that Samantha Dean was presenting today, I've got no idea why. But anyway,
anyway, that was the reason.
They cut that section out, Craig, if you like, but the Craig is standing in his business partner Suzette, Bailey. And we'd love to hear more about what you do, why you do it, who we can connect it to, etc. That would be wonderful. And a chance to meet Craig and ask questions, we'll have a short section at the end of this asking questions, and who we might know we might be able to connect?
Unknown Speaker
Yeah, just make sure you've finished around that 20 Pass, if you can, if you want to get the benefit of us all contributing, that will be great. Unfortunately, we're a little bit over time there. That's our fault, not James.
Unknown Speaker
All right, Craig. So over to you.
Craig Thomler
Okay, no problem. I'm just gonna go quickly through some initial stuff. I have slides from Suzette, which I'm not going to use because I'm gonna death by PowerPoint is a real thing. And then I'm going to actually give you a demonstration of our tool at work. And so we can then have the conversation from there. So I guess the start out, how many of you have ever walked into a meeting and realize you've not managed to do all the pre reading for it, and you're going in, you're feeling a bit unprepared? You know, very, very common amongst managers, professionals, anyone, you know, virtually any line of business has this kind of problem, where they've got huge amounts of stuff to read, whether it's for meetings, or it's just for professional education, or it's even just to keep up with your emails. But you've got to get a very limited amount of time to do it. And it's one of the biggest problems today for professionals is really dealing with that, that juggling of what do you choose to read? And what do you choose to leave on the shelf, so to speak, so So what where we've come from with Reno is, you know, says that's got 20 plus years experience as a knowledge manager working for large government agencies and corporates in helping to actually deal with this sort of problem. And with the issue of, you know, storing lots of information, but never actually ever referring to it or using it ever again. And I come from a background where 25 years in digital, developing digital solutions and supporting organizations on digital transformation journeys, and supporting them and building their strategy and an I suppose framework for how they actually normalize digital within their organization. And that's a still a real thing today, you know, we've had the internet for, you know, 30 odd years now. But realistically, organizations are still on the journey, nobody's reached the end of it. And I think the end is still a little bit out of sight, because things keep changing. But one of the biggest parts of that is really the amount of knowledge available to us today, what we're able to use and what we're not able to actually use in any given business decision, or for actually operating our businesses. So in Reno, what we've been doing is using AI to help make that knowledgeable, more usable for organizations. So it takes a couple of different forms. And I'll go through two of them today. In particular, dealing with that issue with having too much information to absorb at any given time, but having to get through it somehow. Otherwise, we've developed a product that uses AI to essentially summarize down these large complex documents. And even in some cases, convert them into plain English when they technical or legal or research base papers, to make it a lot faster and easier for you to basically get the summary, get the key points and be able to then make a decision on whether you need to read the whole thing, or whether you've got enough information and can just move forward and make decisions and go on about your business. So that's our summarize a product and that's something we've spent a couple of years working on. And, you know, the AI is at the position now where it can basically take in the document, understand what it's talking about. And then basically give you essentially the CliffsNotes in a very, very short period of time. So that's part of what we we've been working on that's coming into market very, very shortly. What we've also done and we found this was a really big problem and awesome you might have have some experience with this, as well as you, I suppose mark as well, is that when you're using video and audio to communicate, you, there's lots of recording, there's lots of editing, there's lots of other work. And by the end of it, you have this beautiful finished product. But often it's only one piece of content.
And, you know, you can maybe clip it into shorts, short quotes or other things. But if you actually have to convert it, to reuse it for, say, search engines who rely more on written content for SEO, rather than video content, hopefully that's starting to change, but still a way off. You know, actually converting that type of content or amplifying that content through other mediums can be really, really hard. And we've encountered this a lot, particularly when working with a lot of podcasters, as well as video creators. And by the time they've finished editing and producing their their perfect Podcast, episode or video and publish it, they want to move on to the next one, they don't want to have to take that content, get the transcription, convert that into something useful, and then publish it lots more times. To help promote that video and push people back to it. That's a that's a lot of additional work. And it's not the sweet spot. Because they're about either video or audio. They're not about writing. So what we've done is we've taken the summarizer. And we're now using it with transcriptions of video and audio works, to turn it into show notes, articles, social media posts, and episode descriptions really, really quickly and simply with the AI does about 80% of the work. So there's still a little bit of editing work at the end. But we'd actually don't want that to disappear. Because we want the human to always be in the process. Because this is a work produced by humans. For humans, the AI can do the heavy lifting in the middle. But the AI is not there to automate it for you. It's there to assist you, and to amplify what you're able to do in a given time. So what I'd like to do now is just show you very quickly, so let me share the screen. And I will show you our our products for podcasters, which we call read notes. And frankly, if you're creating any type of audio or video content, even if you take the and I might do that, take this video, take the audio from it. And I'll put it through the notes and give you a summary of it as well. But it works very, very simply, at the moment, we don't support the audio or video going in directly that's coming in the next couple of weeks, we're just ironing out a few bugs in that moment. But you uplift the transcript that you've created through something like otter or some other product. I have a I don't think you can see that screen. But I've got a transcript here here how to use smart marketing, from kickoff labs. So it's somebody else's podcast, it's not one of our podcasts, we do one called ag tech, just so you know. And then off you go, and it's busy, the AI is busy reading that transcript, understanding it and then converting it initially into show notes. And then we'll be able to create some secondary content from it, such as those blog posts, and that social media posts. And of course, it doesn't work for me, which is fantastic. That's always a risk with live demos, isn't that. So what I'm going to do is go back very quickly to the one we did previously, and show you this is the same podcast. I think this is the one the demo that Suzette gave on Monday. And this is essentially what it's written as a as an actual summary of that podcast. The podcast itself has about 45 minutes long. And then you know this has been turned into a heading one you can do various formatting, and then you can download it and basically keep that content and use it however you see fit. So it's a really quick way to get a summary together that that gives you you know the sense of what was talked about and lets you go and use it, you know in various things that are great for SEO. And then what you can also do for example is create a description of it was this just a short thing that goes about what happened in that episode, so good for a little video or podcast description.
And also, we've created a series of social media posts And he's got three different social media posts that are basically you can use across, you know, Twitter, Facebook, LinkedIn, instant, whatever, to just give a little bit of text to say what's going on that sort of approach. And I'd they also did an article, the article wasn't a particularly good one. But done some articles previously. This is another one from another podcast where it basically writes a short article, it's something that's a good way to give it into a bit of an introduction that you can put in a blog post or, or some other type of content. So that's essentially how it works, or today didn't work. Sorry about that. I'll talk to our CTO after this call, find out what happened. But we've just released that into the market. And the goal is really to help people who are having, you know, challenges with all that sort of, you know, content in actually getting it out there. Now, how do I stop sharing my screen? I'm just figuring that out. There we
Unknown Speaker
go. I want to ask you a quick question. We're doing some work at the moment for for one of the state government departments in Queensland, the Department of Justice. Yep. And I won't tell you what it is, but they're putting out a major report next Tuesday. Which is chapter and verse on? Well, you know, it's just it's absolutely huge. And so is this a sort of product that you would then feed through that, and it would give a quick summary, obviously, obviously, that need to be checked everything spot on, but very quick summary, which we could then go to media fragments, like,
Craig Thomler
yes, that's, that's exactly the sort of use. So the two use case, that's really that's the sort of the summarizer approach, the first thing is, we have to read lots of content from other people. And you want to summarize that down to something that's that short and easy to digest, but the other ones where you're producing really big reports, and you need to create an exact summary, whether it be for the media, whether it be for you know, senior executives, or just for the public. Or if you need to convert it into plain English language for certain audiences, because those sorts of government documents can get very heavy at times, I spent number of years working in government a lot of years fighting to try and get bright more in plain English. So I understand the problem very
Unknown Speaker
well, is that sort of document. You aren't tricky, plus the ages report on such and such statewide, that will go to Premier and be announced by the Premier or whoever else in that realm. So yeah, yeah, you do much work with government.
Craig Thomler
We're not doing a lot of work currently with government, which is been been slightly annoying, since I spent a lot of years working in government, we've got a lot of contacts there. But they actually have struggled to find a way to procure us, because they're, they can't procure us as as, you know, as sort of the content editor, because they get lots of humans for that. And they don't have a method yet, because they haven't actually fully thought about how this technology is, is now available, there's only really been out there for the last 18 months, two years, that we've been able to do this. So it's still very early days and doing that. But if, for example, as soon as that report becomes public, if you can flag it to sunset or myself, and we can grab a copy of it, we can very quickly, you know, toss it through our, our version for sunrise and before it's completely public, and out there as a summarizer as the tool and give you back sort of what what it actually produces, you can use that however you see fit under that doubt. And I think you'll find that it's, it's very, very good at producing large documents. So, you know, if it's, whether you want a chapter by chapter or whether you want it as a complete document, you know, it'd be slightly different results.
Unknown Speaker
Great. Can I just ask you, just a couple of quick things. First of all, that's what you showed us though, those those examples? Were they edited or had had that they had they had human editing or was that the straight out of the thing?
Craig Thomler
Those were all straight out of the AI. The one thing was that the the shownotes I showed you with the with the heading, the headings were heading and the quote were added. That's just the formatting you can do afterwards. But they haven't actually the words haven't been changed.
Unknown Speaker
Okay. So why it writes very well. In that case, it writes it writes a like you Good as a human, you know, interestingly, you know, so Wow. And I'm really impressed if that came from a transcript. Because normally those sorts of things, got lots of buttons and hours. And all that sort of stuff out obviously removes those kinds of things as well,
Craig Thomler
you know, even more than that the transcripts we're using for actually machine transcripts. So they're literally done by the AI by an AI, which does the machine transcript, something like otter or some service like that. And then the AI is able to make sense of that. The one challenge that we're always going to have is that if names are spelt incorrectly, names or places, the, our AI will pick up on that and repeat that error. So the one thing we do recommend to people is that, you know, if, if you're going to get the transcript of your video or audio, feel free to check it through a machine learning, but just check the names in us. Because if the names are wrong, it will just repeat that error, because it doesn't know what your actual names are.
Unknown Speaker
Yeah, no, no good. Are you able to be there on Thursday, tomorrow for the Avon event? Because if you are I'd like to know about that in advance, so I can promote you at the end? Um,
Craig Thomler
I should be able to be there. I think I'll be but I think I can do that. Yeah. I don't have the details for the event. So I'll get those off Suzette.
Unknown Speaker
Yeah. Okay. All right. Third, quick question is, what's the cost pricing model? That sort of thing?
Craig Thomler
Yep. For for re notes, which principally just works on transcripts, where we're, the base price to start off with is, is nine bucks for equivalent of two hours of video a month, nine bucks us. And at the moment, our pricing goes up to about 50 bucks a month for, you know, effectively 10 plus hours.
Unknown Speaker
A subscription of X type of thing? Is that the way it works? Yeah,
Craig Thomler
you can, yeah, we got we're gonna introduce top ups very shortly, because we know there are some people who want to use it at different levels. But first off the ranks is really getting the actual, you know, taking the audio or the video file to do the transcription and then do the do the actual work. You know, lots of people have their own transcription systems they already use, whether it be human or otherwise we don't. We're not trying to compete against that. But we want to offer a threshold for people who, you know, for example, have a connect collaborative meeting that they want to provide a summary report for. And every now and then,
Unknown Speaker
well, there's a lot of podcasters in that connect collaborative. So they would be potential candidates, particularly smaller business type people where that sort of price is not a barrier too much. Do you know what I mean? So that would be that would be pretty, pretty handy.
Unknown Speaker
That was pretty cheap on the pricing for like someone in my industry because I just straight up I'd be like your perfect target customer. I've got videos, they've all got transcripts, the some of them get posted, it would be nice. i Right now I just copy and paste the transcript and I'm like, Hey, you can scroll along just see what's chapters or what but if I can have a summary and that'll be absolutely perfect. So I think like because I pay $45 a month for another AI program that works words called D script. And that one yeah, and so like and that's like so you know, it does have a fair bit involved in it but just to give you a context of what people like me pay and I know that I can record myself using your program once and as long as it works I can send that to all my filmmaker colleagues and they'd all be very interested
Unknown Speaker
yeah, definitely we will
Unknown Speaker
connect after this. Well, Suzette has got the profile on the CC so I think we just need to change that to Suzette and Craig some era
Unknown Speaker
gonna make it look like one of those Facebook dating profile
Unknown Speaker
Well, yeah,
Unknown Speaker
don't bring that tradition to LinkedIn.
Unknown Speaker
And Dragon Eye if you you may or may not come across Thomas Pollock who he's he's businesses about helping people do business with government. Oh, good. So he's actually in the in the CC, Thomas Pollock pow, loc K. But just by the way, I've just put in the chat. The link to the to the events, the Avon event tomorrow afternoon. Thank you. So
Unknown Speaker
yeah, and the other thing too is that done. We've just started the events in the Connect collaborative, so avons an example. So we have different types of events, featured events are ones that are promoted heavily by us. And you can bring external people along. And that's the Avon event, right. But we also have special events, which are people within the SEC, who will do a talk on something in particular, right. And they can make that happen to the outside, it's just that we won't promote it only because, in general, because we can't be promoting things every two seconds, because it just loses its impact. If we do you know what I mean, that's, that's the only kind of reason. However, I think, you know, one of those sorts of things that we could do as a productivity event, you know, where we had a number of people actually talking about productivity, like yourself and various other people. And we could sort of put the people in there, but do the do tasty things. Because, I mean, I don't know, maybe it's my personality, but I'm a big fan of productivity, you know, I think, wow, if people can save time, on stuff, it's just got to be like, and I'm always looking for apps and things like that, that can can help in that regard. Right. So I'm sure I'm not the only one doing that, right. I mean, I think, you know, as we move forward into the future with labor costs the way they are, and all that kind of jazz, we've all got to become more productive and more, you know. So, you know, so it makes sense for us to have maybe a series of those productivity type related things, because I think that'd be quite popular. So that's something else to bear in mind.
Craig Thomler
Yeah, I think, you know, we're reaching a limit of what we can do just with our own brain in our hands and given time period. So, you know, more and more technologies is going to have to be used just to help us amplify what we can do. And, you know, the fact you know, Olson, you know, you can the business you're running today, you know, 20 years ago, you would have required, you know, 30 to 50 people probably already the efficiency is great. Yeah, yeah. Craig, just one
Unknown Speaker
quick, other quick question. Have you had any instances of where the AI has left out? Something major? Do you understand what I mean? Like, like, in other words, okay, summarize? is, it is missed a major point or something like that? You know, I
Craig Thomler
mean, it look, it can do that, just as if you had a human summarizing it, they might miss a major point is, well, I think that's, you know, that's a, that's a virtually impossible problem to solve. Because, because it's always going to be a summary. So it's leaving something out. So you're always going to run that risk. And there's a couple of ways to work around it, you can run a couple of summaries and read those, and that will help you overlap.
Unknown Speaker
What do you mean by that? Sorry? Well, you can
Craig Thomler
summarize it a couple of times, and it will produce a different summary every time really,
Unknown Speaker
like the same stuff and producers do it a different way.
Craig Thomler
Yes, goodness, it will, it will summarize it the same way. Like you can take the same, you know, sort of paragraph and and tell it to write an article and it will write you know, you can write 20 different articles off the same paragraph. I do that quite regularly. With could because like, like a human being, it associates different concepts and different approaches that you can go down different avenues. Okay. So,
Unknown Speaker
several times you're unlikely to miss something major, probably.
Craig Thomler
Yeah. Okay. And it will still be much shorter, because the summary is, you know, 10 to 20% of the full document. So, saving time in any way. All right.
Unknown Speaker
That's interesting. I love these sessions. I just can't understand why we don't have like dozens more people here. You know what I mean? So can you
Unknown Speaker
get to be reading
Unknown Speaker
what we need to do is in fact, is in our Reno, Reno results accelerator,
Unknown Speaker
record I also tonight, Toby, you're at the workshop tonight. Do you want to just do a little promo of this like you this is your first one and how awesome it was? You know that you know that kind of thing? What do you reckon Toby? I reckon that'd be great. Don't Don't you just a promotion of the RA you know I'll put also the link in there for people to register for getting reminders and things like that.
Unknown Speaker
So just like a little quick little like just me talking to camera like hey, what I got out of this. No, no when you know well, thanks.
AI Summary (Edited)
This Results Accelerator featured Craig Thomler, cofounder of reKnow Pty Ltd and partner of Connect Collaborative member Suzette Bailey, discussing their Summarizer and reNotes solutions for helping professionals and organisations raise their productivity.
Craig began by discussing how professionals often have difficulty managing their time and determining what information to read and what to leave on the shelf. He described how Suzette and his company, reKnow (reKnow.io), aim to help professionals with this problem by providing a tool that can help them manage their time and information more effectively.
reKnow has developed Summarizer, a product that uses AI to summarize complex documents, making it easier for people to make decisions based on the information. They have also developed reNotes (reNotes.io), a product to help convert video and audio content into written form, to make it more accessible to people who rely on written content for search engines.
Podcasters and video creators can use reNotes to quickly and easily create summaries of their episodes as well as social media posts and articles. reNotes uses AI to do the heavy lifting, but the final product is still a work produced by humans.
Craig mentioned that their pricing model is subscription-based, and that the cost for 2 hours of AI transformation by reNotes was US$9/month.
The goal of reKnow’s new content Summarizer tool is to help people who are having challenges with all sorts of content, by providing a quick summary. The tool can be used to summarize articles, podcast episodes, or even government reports.
reKnow’s Summarizer tool can take large documents and quickly produce a summary of them. The tool is still in development but is already showing promise. One challenge that the team is facing is that errors in names and places in the original document will be repeated in the summary.
The one thing Craig recommended to people was that if you're going to produce a transcript of your video or audio, feel free to transcript via machine learning, but check the names in use. This is because if the names are wrong, the Summarizer will just repeat that error.
Craig talked about how AI is going to increasingly be used to help us amplify what we can do and how it can improve efficiency in various ways. He also mentions that it is impossible to solve the problem of AI missing major points entirely, but that running multiple summaries can help reduce the risk of that happening.
Participants talked about the importance of productivity and mention the possibility of hosting an event focused on productivity hacks and tips. They also mention that the Connect Collaborative has started hosting events, with Avon’s event being an example.
Disclaimer: Content created by reNotes is an example only. reKnow does not own the original video content and all content on this page, including content derived from the original video content, are the property of the video content owner. Being featured as an example does not imply the video content owner is a reNotes user.