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Webinar: Translation management systems – a comparison

30 May 2018 

WEBINAR: Translation management systems – an overview

Full Transcript

Tucker: Alright, so 8:00. Sandra, why don’t you kick us off here?
Sandra: Absolutely. So a couple of minutes and allow people to go for a cup of coffee or whiskey. Well everybody, thank you very much for joining us and welcome and we’re stripping for you live from the United States, Brad and Ireland and my name is Sandra. I’m going to be your mc today and I am the business development director here in DC. I would like to start by answering a question that we get very often. Many people ask us how do we’ve made and the answer is easy and consultancy. So if you want to know more, just reach out to us and we’ll be happy to chat.
Tucker: We barely pay the bills,
Sandra: so please we really need you to call us. So today we’re going to be your whole Stoker Johnson. He’s our managing director and cofounder and constantly who is or chief of research will take you through. A brief story of dms is with will show you how to compare two ems step by step by the functionality they offer using the tool that we developed. Enable you then to compare pms side by side. Before we start, let me give you a couple of housekeeping items. Feel free to post any questions at any time during the presentation in the comments either on facebook or you do and we’ll be answering them as my goal and if we are not able to do so, we will just get back to you of. You can also email us a couple of questions so we will mature to be answering a few questions as well. At the end, we will be also were available in social media, so please go ahead and follow us. We are in Instagram, facebook. You do Google laws, everything. Just go ahead and click subscribe and the Hashtag for the Webinar. Hashtag name z underscore insights and the three little candor is at names, insights, and follow us a reduced as well. Buy Your next door. Next webinar which is going to be injured and without a full docker. They are all yours.
Tucker: Thank you so much Sandra. Alright, let’s get right into it here. The topic of this webinar today is tms systems. A comparison, so this is what you’ve all logged in for. To hear us take a look at a comparative analysis of different translation management systems. This is some work that we’ve been working on for quite some time and the reason we decided to prioritize this particular subject in our research was because it’s important and it’s something that is desperately needed in the industry or it needed more of and we feel that what we’re going to present today is somewhat of a new take on tms benchmarking. One of the reasons it’s important is because the technology is getting more and more complex and with that we see the RFI and RFP is coming out from clients that are looking to purchase a tms, get more and more complex.
Tucker: We’ve talked to clients with over 300 different questions on their rfi just for a technology vendor as you can see here, so lots of different things to look at. Lots of criteria to wait and there’s many different ways to compare a tms systems and unfortunately or fortunately, depending on who you talk to it, it’s not simple because every situation is unique and there is no one size fits all strategy in the technology space. So if we move onto the next slide here, we can see that. What is our answer to this? How do we respond to this? And our initial batch here of research consists of five different things we have to reports that we’ve issued on the connector game, part one and two, and this is taking a look at all the different connectors in the tms space, which cms is connect to which connectors, which third party tools, what are some underserved areas in this space where a technology companies could potentially go into a.
Tucker: and then we have these three tools which costs you is going to get into later, which is the tms overview, the integration map and the tms compared tool. Um, all different ways of looking at and comparing features between different tms systems. Moving onto the next slide, we see that, yup. Method. So how did we, how do we go about this? This has been months worth of research and I must give credit to our chief researcher costume drench who will be turning over the floor to very briefly here. We’ve had a lot of conversations. We’ve done a lot of interviews and briefings with different technology companies. We’ve also done a lot of interviews with enterprise clients, so and buyers of translation management system so that we can really understand the space from both sides, from the provider side as well as from from the buyer’s side, out of that wave come up with a list of criteria over 400 different criteria were looked at as part of the study.
Tucker: Some of these criteria and features about 60 to 80 of which are different features of tms. Some of these are more important than others. Some of these are more obscure than others. We looked at all of them. Why? Because as I mentioned earlier, the there is no one size fits all and what may be important for me may not be important for you when comparing a translation management systems. So we plan on and once again as we’ll talk about, we’re releasing this tool, it’s really a, um, an ongoing process. It will be updated. We are continuing our research. We’re adding a technology systems to the tool. Um, it’s in continuous continuously being updated. There are some tms systems which aren’t in the tool or they’re there in the research, but they aren’t 100 percent verified. Those are clearly marked out when you see it online. And we’re really excited because this is a, this is a new take on tms comparison. Um, our goal here was to take this very, very, very, very complex space and distill it into a way that’s very user friendly and very easy for people to have an apples to apples comparison. So with that, I’m going to turn it over
Kostya: to my friend here to go into the demo would be just quickly switched the screen, the access to a file you can see on our website and the tms tms by your own criteria because there’s no one size fits all, switched, only writes a to use the different tms on. At the moment we’ve mapped about 2010 a very fine on the lifts. You have different filters, how you can compare them. I’ll scroll down a little bit on the filters that we have. We have integrations, so connectors for web content management systems and website software. Amanda here, so let’s say you want to find your ideal teamness for example, you’re managing a site or website so you can filter for the tms that have site.
Kostya: Then, uh, you look at your hourly requirements. Perhaps your other requirement is that the tms is deployed when you’re on infrastructure, so it should be a private cloud. You can search for a tms deployment model here so we can go with in August. Those are referring to the with Catherine, that most translation management system stuff, they, not everyone but most project management features. For example, one feature that I think is important to this day is an engine to a. to adjust the lens of a workflow alternate. You can share examples, safe this feature, and you’ll be left with a one or a gms remaining in the right side, and then you can contact those tms and have each of them. I’ll give you an extended them or you’re going to hire consultants to help with this process. So this is the main page on top of this page was built an integration I’m going to show you now
Kostya: the integration map shows a content management systems, machine translation systems, marketing automation systems, a businessman management systems and other software that translation management systems that are integrated with. So I’ll just slowly scroll down for you to say, uh, as you can see here, our icus with the, the system in question and the number in parenthesis is the number of foot cms that say that they have this integration. The tone doesn’t examine the level of integration on the course. Some tms might have a better, more robust, faster, uh, integrations than the others. But for now we’re just reflecting and which ones are integrated. So you can see web software assistance here. Now, scroll down, translation, business management, sure. Events, online folders. And we have a category for enterprise content management systems, document management systems and productive formation when there’s no systems and it ends up with the last category to us. Get and support. Okay. So this is open. Anyone can go here, have a look. Fine. The systems maps. Yes. So I’ll find the systems might find which ones they can contact and reach out to them to get more information. This is a well, anyone can access. You don’t have those that have subscribed and this is a detailed comparison.
Kostya: Yes,
Kostya: sure. The interface is quite basic. You can select up to a translation management system, grandparents, once I’ve selected Lacrosse meme source and I’m from here and you can select the criteria of comparison if you don’t want to go through all the 373 points of comparison, you may have, for example, de-select a support file format. Now I’ll just scroll down a little bit to show you how it looks like. So it’s a rose of signs. Um, and for each category, which show how many features are out of the maximum as supportive. Yeah. This can be a very, very long. I’ll just scroll a little faster because we want to look for all of this at once, uh, depending on how many criteria you want to put in New York comparison, you can eliminate some of them or just the ethical see, uh, which features are mapped and that a tms, that’s the extent of the tool as it is now in the future.
Kostya: Uh, we might, uh, integrates with that. If, uh, cms themselves, for example, provide Api, is that, uh, the usage maybe where it’s process through their public cloud platform, uh, none that would be possible to show statistics on the market. Maybe don’t provide the API. So how many words and which language are source through this cms will be possible to track a waves in supply and demand for different languages. Um, feedback will be much appreciated, but we have the basic features you can compare, you can make your own selection criteria, how you want to go with it and find the tms that suits your needs and then contact them for more details to really check if all the integrations are working. If the system is robust for those fast on your infrastructure, I’m going to go back to my presentation now and we’re going to speak about, uh, the state of the market of tms and comparison by size and by fisherman.
Tucker: And really quickly, let me just jump in while you’re transitioning cost Ya. Um, I, I want to make a point that these different resources that we have published, a lot of them are public, some of them like the tms compared tool and part two of the connector game report our for our nimsy partners exclusively. Um, we feel that that’s the way we can add extra value to them. But a lot of this is public information so anybody can in and play around with the tms filtering and stuff. And we feel that that’s important because it’s something that, um, we wanted to make sure that everybody in the industry has access to and to, to a certain extent, at least in the point of this Webinar, we’re going to get into some comparison of the tms systems. But it’s such a complex topic that the reason we wanted to show you the tool is so that you can go in and basically play with it yourself because the features and the integrations that may be important for one person may not be important for another person. So it’s difficult to cover in a 45 minute webinar. So thanks.
Kostya: I see that there’s a little bit with my voice. I hope it’s better now. I’ve moved a little bit further from the microphone, so let me know. So just a little bit about the history of a tms translation memory tools around 1994. There’s been four or five of them and some of them were independent. A monolithic, originally developed by a lsps such as transit, uh, later lsps acquired a management systems appeared in 1997, uh, two first systems that we know of, a global site which was later acquired by localized and idiom, which was later acquired by sdl on it’s now called Sdl world. The market went into hardcore development, uh, closer to 2000 with companies like stm. Oh, mammo few, I think 2005, a lingual deck across systems themselves and five and six a first day developed desktop tools. There’s been a much investment around this era.
Kostya: And around 2010, the market went onto the cloud era. Uh, for example, Xdm deployed a cloud version and around 2010, 2009 and 11, the first tools that we’re natively clouds smarketing started out in 2009 I think. And uh, over the next four or five years they’ve seen $63,000,000 investment, a sin, a transeffects mark on this map with six point $5,000,000 investment, a Ma’am source cloud words, very interested in tms surrogates and buyers and doesn’t have a built in capital. So like for professional community addition to the families squirreled a Indian American tms, which targets a development teams, not language services professionals per se, and they’ve seen their investment has reached about a $10,000,000. I don’t think it’s possible to see what’s on the right drug a window. So now we’re entering the machine learning era and uh, I’m anxious to see more features a with machine learning.
Kostya: I think everyone’s interested in a language industry, Ai, I haven’t seen yet a system that will be native to machine learning era. Instead the lens, the latest launches are a translation management systems, the target enterprises, the enterprise translation manager, so they have a reporting section, connectors, and then some way to offload the task through the LSB and have a continuous localization between the two of them. But what’s really going to be interesting, it’s the machine learning features that will pop up in the tms of previous generation and hopefully it will be interesting to see if a tms that is native to the scenario will make its appearance on the AI capabilities that will be making decisions, which translators to assign what kind of work we’ll have a instead of the human translator. Okay. Uh, this is the dentist is now, um, there are more than 100, maybe a hundred 5,200 tools depending on what you define as a tms.
Kostya: We’ve identified 17 systems that a tms proper and are available both to a enterprises, the buyers and to the lsps are many systems on the Lsb side that are available only to the buyers together with the sentences. Another category here are the localization tools developed by localization localization, but by it people, for the development people. Uh, I think a ground in fraser or one sky started like that translation exchange started like that. Not bilanguage professionals but by it people. And it’s the biggest category. Some of the systems are quite simple. Others are very complex. And uh, I think it’s an interesting space for the tms, a proper to look out for it because this systems, they target developers will not have any idea about the increase in the market.
Tucker: We’ve mapped those systems, put them in different categories and put them on an info graphic which will be released soon under the name of don’t you athletes or landscape. It’s ready I think maybe next week or in a couple of weeks. Yeah. We’re really excited about that.
Kostya: There’ll be a, an infographic. The logos and names departments will be able to get through the list behind that to select all the tools they might approach from a big, at least with $500, $400, $500. Okay. So lots of systems, lots of choice. The market is now in a quite mature stage, but not all of the matter. A only a few of them are quite big in terms of user base and in terms of revenue and darker will not speak about a usage statistics and the revenues for this. I’m just trying to find a way we can put the screen with us.
Tucker: The data. Great. I get to see all the data just fine. Hopefully I’m not logged in, so if you can’t see a lot of stuff. Um, so yeah, so we have some really interesting data that Akashia has collected for different markets, specifically around lsps and tms usage by lsps. And as we can see here, it really depends upon the markets. And I’m sorry I have a small distraction coming into here. Um, so as we can see, cost you. I’m gonna let you take over this slide please. This is different datasets.
Kostya: My previous research you wrote in the U K A r a service for language services companies in a United Kingdom and France in Baltic area. Uh, I asked which the tms to use and the companies can reply with a from one, two, sometimes four or six, a tms capitals that are at their disposal as the usually comes from top and every country for Russia and Ukraine. I have a specific portal there that tracks the statistics. And in Japan we used the data from the JTF survey, uh, which is a very, very extensive. And it covered about 257 translation companies. Again, SDL is strongest there. And the list of underdogs in every country is split between the mammo que meme across a word being, these are the numbers of companies, but it doesn’t say which companies that big or small, for example, Sdm is more expensive than memstore. So when they close a deal, it’s probably more revenue per deal or could be a bigger company than by soulful. Also, fcm, they target more enterprise space, uh, historically. So this uses statistics only reflect by lsps and it’s a little bit skewed towards smaller speeds, so viewed with this caveat in mind. Uh, Dr Leon to speak about this one.
Tucker: Yeah, thanks. Gotcha. I just had an escape child run into my office. I had to deal with that. It’s like that CNN that, that went viral. You guys, there was a BBC. Yeah. So anyways, thank you for covering me during that time of crisis. So what we see here, what’s really interesting, and this is information that’s available for anybody, uh, on Google trends, we just wanted to visualize it here because it kind of tells an interesting story and that’s where each of these different tms isn’t where people are searching for them. So this speaks basically to brand reputation, brand recognition. And it’s interesting because it goes against the common, the I, the idea that I would think would be a logical, which is that this is a global market and we get with translation. So these different technologies, they shouldn’t be focused on any specific area because of the global market, but what we’re really seeing is that there’s a heavy concentration of brand recognition for each of these in the areas where they’re most focused, which typically tends to be their home market.
Tucker: So if it’s the United States based company, then they have a much better brand recognition in the United States. More people have heard of them or people are searching for them. If it’s a European state, like a German company, then we say heavily focused in that particular country and the European Union. So what this tells me for technology providers out there, there’s a lot of opportunity to enter new markets and it doesn’t because of the global nature of this industry, it doesn’t make a lot of sense just to be focusing on one market where you could. It’s, it’s low hanging fruit to expand into other markets and really take advantage of a global economy. So let’s move home.
Tucker: We’re testing our new icons. So another interesting thing to look at here is there’s different ways to measure a successful tms or a popular tms, right? And one thing to keep in mind is that popularity does not always the full revenue and just because of tms is very popular very well. No, maybe adopted by a lot of translators. It doesn’t always equate into. It certainly doesn’t hurt. Right? But another thing to keep in mind here is that this isn’t a huge space. The technology space within the global language services industry isn’t massive, right? It’s really less than one percent of the global transplants and localization language services market and the companies that are growing, the biggest that we see over $10,000,000 estimated research ongoing are really the companies that are also offering services in addition to the technology, and this is something that we hear from more and more people as we’re talking to them, is that selling technology, it’s gets you to a certain point, but in order to really scale and really start bringing in the big books, a lot of technology companies are looking for ways to add services on top of the technology.
Tucker: Not necessarily translation services, although that’s of course the most common one, but different ways to add service to the technology and what we’re seeing is on the LSP side of course, is this idea of technology enabled services offerings, which means that what they really want to sell is the services, but they have a technology that enables that and supposedly differentiates them from their competitors. And we can move on.
Kostya: Yeah. No, we’re done with the markets. Size of the figures for this, uh, revenue and estimates are available. She didn’t stash somewhere. I’m going to talk a little bit how to compare a tms. The first point I would like to address this, that there are different perspectives on how you can do this and different stakeholders did. Translators typically wants a very powerful capital. They don’t care very much about management component, so they need the capital to adapt to them to be personalized. Customizable, to be very fast, maybe a, which lots of folks for concordance search for terms auto suggest spellcheck kind of thing for owners or managers. And on the LSB side of the cat, the dilemmas of tms to support multiple formats, to have some information on the translator quality. And this is an area which is not really addressed by most tmss out there, so that they could track the quality across big bull of freelancers that they work with and then preselected to announce for the freelancers in an ultimatum way playful for their respective projects so that they don’t have to rely on the knowledge.
Kostya: So freelancers by each individual, project manager on the client side, a automated end to end is important. So the enterprise localization departments, they usually want to organize this flow of content from, uh, the, the developers marketing illegal and different requesters inside the company. So I’m, uh, to the vendors and they would like to control the reporting section. They would like to have clients with you in there. So these features are important and invoicing and according to data on multiple freelancers might come. Second, the new stakeholders, uh, noncore professionals are not localization. People have these marketing people, developers, technical implementation people. Not every business has a localization manager, actually very few, but a marketing people exists in a huge percentage of businesses, software developers that make software that exists in many businesses these days. So, um, it makes sense to go to those people, but they have different kind of requirement that don’t work in a tms everyday.
Kostya: That’s not the core system. They would run a website, maybe they will develop a new strings, new code and put it in their own repository. They would make technical documentation using an authoring tool. So for them the most important thing is to have the translation of Franklin background working securely, effectively from inside their own system. They might not want to log in into tms everyday, uh, but they want to continue doing what they’re doing and have the translation in the background. And for these people, a tms these days offer integrations connectors, and it’s the main game of competition with the connector game going between the different systems. So just quickly, I skipped a slide here. I have some in progress so far as you’ve seen from the comparison, the two that we have, we can make a list of functionalities that this system has in the future.
Kostya: We plan to add some kind of index of weight to these features so that, for example, if a system has a very important feature, like an intelligent workflow engine that would be weighted more than some secure that is not used by everyone made it by one percent of clients, uh, we don’t have it yet, so I just made a preliminary, shouldn’t be treated as a live version. Just shows how many features of each type this or that cms has. So you have get features and mammal to servers leading there that to get those maybe even three, right? Three PM features, surprisingly involved in the transfer. TMS is number one and number of integrations, a prebuilt integrations in blue. Here you have integrations with a website systems, uh, in grades empty integrations, uh, and the enterprise content and information room. How do you feel? Does it feel right?
Kostya: Feel probably closer to sale anyway. So this is the mom of prebuilt integrations that the system claims that they have a, the integrations are of course of all different levels, some integrations, some integrations, robust breakdown, and just exist there as a name, as many systems that are integrated with our integrators for Apis, a with some customer requirements. So it doesn’t show the quality for integrations, but it shows how many are there. All right. And uh, that’s about it for comparison. Uh, just finished in here. I’ll go through the list of features that I think are interesting and will make an impact in the future. One of those features is a Gdpr compliance, which a tms achieved by identifying names in indexed and then they can obscure those names for the translator, can put a instead of the name. This way, there’s no problem with storing data, personal data in the memory of other features and the group here by features in the editor’s management component integration.
Kostya: I’m just quickly into management. It’s a qualitative evaluation and ability to track quality across the number of freelancers, the self, the area payments made to freelancers is an under served areas. And this logic for and for, for the workforce so that the system can adjust, like we don’t have enough time to make a very long portfolio style. What’s got the review process, uh, this document has been translated 99 percent from a translation memory. So there’s no need for translation step, which we’ll just move it a proofreading, maybe that’ll be enough. So that kind of intelligence or workflow based on rules, oral learning, that will be an interesting space for tms to explore in the integration space. The marketing integrations I think would matter a lot in the future. And the, uh, equal immersed integrations for project information management systems at the moment. The prebuilt integrations for, for, for this segment is only available in to tms on track and cross language server. They control most of that space and there’s one middle ware tool that has a significant number of integration. The sector might be a girl in need, so to establish presence in the ECOMMERCE sector. Okay. Uh, moving on, uh, Dr, maybe we’ll go quickly through the fails of the tms.
Tucker: Yeah. Really quickly here. I want to keep an eye on time, but from, from my experience, uh, we see it, I’ve seen tmss fail, quote unquote, for for different reasons. Right? And when I say fail, I mean basically the end client was not happy. The LSP was not happy, the translator is not happy or all three. Nobody was happy with the services. And really what this come, and I think this is because of the quick evolution happening in the industry right now, there’s a lot of changes to keep up with. A lot of times though, what we see is lack of support. I think this is an area where most tms companies can, can improve and a quick way to differentiate yourself from the competitors. 14 mess company would be to provide really high quality support account management because clients by this big complicated tool, they have questions and they need to know who to come to.
Tucker: I’m not going to go through all of these. Another important thing that I’m saying which is becoming more and more important as we move forward is user experience, Ui design, usability. This is something that is absolutely crucial these days. And the new companies, the startups, the ones that haven’t been around a lot, they get it right. Um, they, they get it, the, the tools look new, they look clean as we see millennial buyers becoming managers and making decisions on which technologies to use. This is something for the younger crowd has always grown up with easy to use, iphone app type products and that’s something that’s more important.
Tucker: The last one I’m going to touch on is the, and this is kind of related to some other stuff, is the over promising on performance. And uh, this is something I’ve seen notable improvement in, um, recently a lot as this disconnect, this perceived disconnect a lot of times between sales and marketing have a tms and the development and the actual production members of it, about what the features can actually do. And I know one just quick word of advice which we all know so probably goes without saying, is that the one quick way to upset a customer is to over promise on features and then not being able to deliver. Right. And enterprise clients are becoming more and more skeptical, um, and aren’t willing to buy the line of, Oh, we don’t actually have that feature, but we’re going to add it to our product roadmap and our development roadmap and we’re going to prioritize that because they’d been burned too many times too many times they’ve been promised that and then it doesn’t happen. So a tms, companies that are interested in keeping their clients happy, if I’m promises have been made to close the deal, that should definitely be prioritized. And I’m, like I said, this is where the industry, the market is, is coming into its own as reaching an equilibrium and we’re working all through all of this together. So that’s just so quick observations. Thanks. Question.
Tucker: I start. You start. Oh, we’re already here. Okay. I’m sorry. I thought we had an. I thought I had a break here. So we’re getting into the homestretch here and costume. You can certainly add to this, but big trends and challenges it. So where’s the industry going? What, what, what is happening with the industry or the market, the technology market and language services. And a lot of it is on the technological side, right? A lot of changes have been happening, um, in the last, you know, five, 10 since, since the, um, industry got started, right? Right now, the big things, our apis and integrations and machine learning and artificial intelligence, this is the second point here at the machine learning and ai. This is something everybody’s very excited about and some tools are already incorporating aspects of machine learning and artificial intelligence into the technology, which is very exciting, right?
Tucker: But it hasn’t reached that equilibrium. It hasn’t reached that maturity yet. So there’s going to be a lot of experimentation in the space. And what we think is going to be happening in the industry is that there’s gonna be a lot of innovation saying, hey, this is where we think the market’s going, or this is where we think ai can be of use in this space. And those ideas are going to stick. But some of them will. Right? There’s innovation happening with API integrations. I was just talking, just gave a lecture the other day about integrations and one of the things I said is that when you go to a technology website or a provider website, we want to look at their stuff. The most important page on their website is the integrations section. I want to know when I’m looking at new technologies, does it play nice with the technologies and the softwares and the systems that I’m already using and this is something that future minded technology providers are already taking into account. Not just can our technology integrate with your technology, but can integrate in such a way where you don’t even have to leave your native environment of the technologies you’re already using.
Kostya: I’ll give you a few examples that are interested in for me, maybe not the official point of view, but what was really interesting for me is that in the last few years, a software that was launched as a simple localization tool could grow and mature. And the feature sets in companies like crowding for example, or maps or some phrase app, a maturing. And, uh, that means they have more competition to the top systems that sell to the enterprise sector. I’m proud of them is willing to rule out a, a enterprise version of the software and they’ll going to be either 10 times less expensive.
Kostya: Uh, another thing that I think is impressive is what’s market with the payment processing feature. They could go to smaller space and build a good business with them and grow really fast by church and the commission on the payments that these lsps make freelances. So instead of charging per user, they could get money from the smallest speeds by taking a cut from the payments to the translator. And of course, each lsb phase, a lot of it translate to every month for word pricing model will be very, very important to look into the future because there’ll be fewer users, uh, using the tms because.
Tucker: Okay, Gotcha. Froze. So I’m going to interrupt him. That, uh, talking about per word pricing and what we see right now talking to different folks in the industry doing our briefings and doing our research is that pricing is definitely an area where there is room for an evolution. Someone even say room for disruption and a lot of technology companies are looking for a way to change their pricing model and this is, this isn’t an area that’s going to be very interesting to watch moving forward because there’s so many different ideas out there and basically we need to find a way that’s sustainable for not just the technology companies but also for the end clients because especially in the lower end space in this industry, we’re seeing a lot of things and word pricing pressure people, businesses in particular are a lot less willing to spend a lot of money for technology today than they were five years ago or they were 10 years ago. And especially in this space because of the increased competition that we’ve seen cost yet.
Kostya: Welcome. Is it the scale? Oh,
Speaker 5: Yep. All right,
Tucker: well I’m going to take over from our friend costume here.
Tucker: So really quickly, just to wrap it up, sitting up here, what we see as a lot of new ideas, a lot of innovation in this space, a driven in large part because they’re there, there’s a lot of companies that have come on the same scene within the last five years, uh, this boom of the language technology startup, um, particularly in the last five years, those companies are starting to mature and they’re starting to. So I’m mature their service offering and their technology and become real contenders in this space. So what’s happening is they’re driving innovation because in order to stay competitive that everybody’s having to come out with new features and basically go back to the drawing board and reassess what is it to be a language technology provider. How do I make money on that? How do I make sure the clients are getting the best service?
Tucker: Um, and how am I fulfilling their needs? So, very interesting space to watch right now. Um, we’re certainly watching it as you saw with the tools that we presented earlier that we already have some, some information out there, some data that’s available for, for everybody. We want to share that. So please take a look. Feedback is welcome, particularly if you’re from a technology company and you’d like to discuss that. Please give us a call or you can either reach out to cost yet or he can send an email to info at [inaudible] dot com and we’re really excited to keep reporting on the space in costume. Are you back?
Kostya: Okay.
Sandra: And, and, uh, so who would you like to take a few of the questions? So I’ll take the easy going to take. Actually wonder, looking to cover for massive globally
Kostya: with the will probably be able to go next step.
Sandra: Thank you. Can I also. I’m really keen. Lucy asks, could you list Ben Features please?
Kostya: Luigi, you can check out the pm features a cell phone. They comparison to also have a cms and the PM features are a list of starving with the. You just try to share my screen. Again, I think the weather is more so sharing screen, so this would be a broader workflow, features a ventilator management features, customer, customer portals in comparison to get into the core features and you have a security features, a certification by ISO, uh, and uh, with a feature set or they might be useful. So, um, this isn’t the moral police we started with the tms tms, probably one feature that can be integrated. Uh, so I think it works really well for this smaller features.
Sandra: Yep. I think that we can, we have another question there for twitter. Um, let me actually collect the different. Was asking about
Kostya: a business management software for now. Uh, that’s a component and it’s mostly used by lsps to manage business. Institutional might reconsider or probably a ranked against similar systems such as pool or translation projects.
Sandra: Thank you. I’m going to go back again to youtube for question from Melissa who asks, please explain the difference between checkmark versus question mark. She also wonders about a Sendak’s and what would be dms or connector for this.
Kostya: If it’s not only integration of map, that means none of the systems that we’ve met so far has this integration. So, uh, there is a support integration. At least let me show you. It’s at the bottom. So please bear with me while I scroll. Scroll forest fire. Thank you. That answers the question.
Tucker: Oh, the question about the checkmark versus question mark right now,
Kostya: that’ll take a while. There is the teeth marks for the feature that you stare and great for the patient.
Tucker: So, and I believe, I think that question also could be pertaining to the different tms systems and that they’re either in a verified status or they’re still in pending status, right. As I mentioned earlier, this we’re releasing, this is a Beta version and some of the tms systems that are listed in here have not been. The information has not been verified yet, so it’s not complete. So we wanted to mark that very clearly so it’s not, um, so that it’s very green because is right and it’s only fair to those tms companies and that we, we mark those as incomplete until we have a chance to really verify that information because we don’t want potential buyers, for example, comparing them to other technologies because it wouldn’t be, it may not be a fair comparison at this time. So if you’re on the phone and you’re from one of these companies with the question mark reached out to us, we’d love to.
Sandra: I actually was going to say that it just go to a website where it’s a Scott, that the legal description say, hey, please, I see that we are incomplete and here is the email of the person or contact me for more and then we will be reaching out to you. So please do go ahead and do that. Um, let me see if there are any other questions that we haven’t gone through. I think that another question is, well, was a white blonde head nodding ems? Yeah. But we have already.
Kostya: I mean, you want to go through really quickly, I mean, if someone answered the question that means we didn’t cover it well enough. So can you summarize the. Yeah, yeah. So, uh, we consider a different class of systems, not a language management, but business management for a lsps or they’re used by enterprise clients as well in some cases, but primarily the discipline as an lsp system. So, uh, when minds compare them, but that’s a later stage. Very good. Sandra, I think we’ve got time for one more question.
Sandra: Yeah, thanks. I think that’s it. Um, I think that’s pretty much all the questions that we cover, um,
Sandra: today guys and do please keep living your questions there in the section we will be reviewing a. After that we have finished your Webinar, you have any other questions? Just leave it there and wait six minutes to go for the end for women or we’ll let ricky. Thank you very much for engaging. Thank you for sharing and social media guys. Thank you very much as well for a docker and it goes there for preparing this webinar. And again, any questions, don’t hesitate to reach out to us. We are going to use facebook, twitter, Google blog, or just go to a website and a page. Um, remember we can on another Webinar in June, we’re going to be talking about mobile marketing for Lsps Constantine, talking about lsp campaigns to develop content and had to get the most out of, with a marketing optimization tools automation tools. Sorry. So yeah, we look forward to see you there guys. Thank you so much. We hope that this Webinar was useful and you’re the rest of your day, your evening and we’ll see you again on the 30th of June.
Kostya: We are interested in building a profile of one the, a cms, uh, at least a four or five hours a tools intense. And, uh, I’d like to see for this kind of you, when did you run your rsps or embarrassed? Thank you very much, guys. Wish you a wonderful day and we’ll wrap it up.
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