"Hello and welcome to the AI today. PODCAST I'm your host Kathleen Mulch. I'm your host Ronald smells so one of the things we do at cognitive let occurs we produce research on the markets and landscape. We look across all the people that we've spent time talking to the use cases. The case studies all Venice. Did you spend time talking to and we ask ourselves the question once a year. Well how is he. I being adopted worldwide. What's happening in the world with people actually implementing an yeah right right are people or companies are certain regions more heavily adopting ai than others? What's really going on so a few weeks ago? We published the report called Global. Ai Adoption trends and forecast for twenty twenty. So we'll linked to it in the show notes. This one is a free download so we encourage all of our listeners to download it and check out the findings but we're going to spend some time today going through the report itself and highlight some of the key findings and maybe some unique or interesting. MM findings that we found from the survey and the report that we did and so the way that we accomplished this as we serve it we sent out the survey to over fifteen hundred individuals individuals various different companies and countries all over the world and got some two hundred and something responses and use those responses to one inform US specifically what's happening of course allowed allowed to also generalize in some ways about the trends that we're seeing for that if you're interested by the way participating in future surveys. I encourage you to reach out to us. Send us an email to info so I- NFO at Melissa and L. Y.. Dot Com and we would be happy. Include you in future service right so so we'll go through some of the key findings first and then the way that we also broke. This down was by our seven patterns obey because we said okay. Well let's one thing to say people are adopting ai but how truly are. Are you adopting A. Are you doing predictive analytics. Application or chat BOT application or hyper personalization application so some of the key findings that we've found from the the report is that by twenty twenty five over forty percent of the respondents that answered our survey said that they will implement a I in one or more of the identified seven patterns earns of Ai and almost ninety percent said that they'll have some sort of impress a implementation over the next two years. We found those numbers to be. You know very positive positive signs for the industry because it saying almost half will implement one or more pattern by two thousand twenty five so just a few years and then ninety percent so nine out of ten said that they'll have some sort of a m progress within the next two years so you might be thinking. He's looks like contradictory information. Wise that the forty percent or say and do but ninety percent have a project that they're doing two years you would think that ninety percent they're doing well this has to do with of course understanding versus the patterns because we asked them all. Okay yeah great well. Let's not talk about. How many of you are looking at doing a chat Bot and the next two years okay? How many of you are looking at doing a machine learning predictive analytics or recognition project or some sort of automation project? That's using cognitive automation. Oh well all of a sudden now. The numbers started going up and in our chart will show you kind of how the adoption patterns are looking looking because basically when you start looking at the more details yeah machine learning honestly an ai are being embedded in everything and it actually may be difficult to avoid using a machine learning. So even if you're saying well maybe we're not intending to build her on machine learning models it may end up being the end up using them anyways so we also sort of looked looked at turtle how the world was moving with. We're like well. Maybe you know North America Europe bird kind of moving at a different pace Rasiah Africa. Now you know what this is one of the interesting things about I in our research from all respondents and a response come from all over the planet they are all roughly moving at the same pace. It is true that you know Australia. Eliana Asia Europe. They have different timing. What their plans? But basically it's not like we're seeing an over concentration of aggressive plans and North American Europe and less so otherwise it's just it seems like this is just the global movement and then another thing we've talked about process automation a a lot and many companies especially many government agencies here in the. US are very hot and heavy on and process automation. In general. What we found is that fifty four percent of respondents plan to implement a approaches to process automation within the next few years so over half and then fifty two percent of respondents plan into implement a enabled conversational systems by twenty twenty five so those again were not really surprising numbers for us but something that we wanted to point out because because people are finding value in automation and I think in general taking their data cleansing it and then using it for higher level value uh-huh and so when they're able to take cognitive approaches in process automation they're starting to really see value in so we're excited that people who are really moving forward with that? Let me talk about a enabled conversational systems all the time and how companies can use that to help in a variety of different ways that can help with customer service service can also help with. It self service so they could use it internally as well and it's able to allow companies to do more with the same or less resources than before right right so our last sort of key finding sort of digging so some of the more details in a moment is that for the organizations that are sort of struggling with making ai ham or like a haven't quite quite yet taken the step. What they've said is that their biggest barrier to adoption is actually insufficient quantity or quality of data? That's like one of the biggest things things followed by lack of talent so basically people in data for a lot of response to send you know even for the people who are moving ahead. They have acknowledged that these are things that a slowing them down so for the companies that are not planning to implement ai at all within the for the next two years. The thing that they said was the biggest showstopper was just. They haven't yet justify the Arwa. which kind of makes sense or that? There isn't enough of an advantage of AI. Over non approach sprang for the ones that have taken that next episode okay. I think there's I want to do this project you know. I have have an R. Y.. I think it's going to give me an advantage. There getting stuck on people and data right right and that really comes as no surprise because cleaning data it can be a very very manual process very time intensive it can also be very costly as well and depending on the sensitivity of that data. That depends on what vendor or you can go with and where physically the data needs to be cleansed and crapped then followed by limited availability for a talent and skills. We've talked about. There's a big telling cruncher especially around data scientists so some of these smaller organizations. Just don't have the money to afford a data scientist on their team. So what can and they do then. That's where they're limited by hiring talent so digging a little bit deeper in one of the things we did our report is we asked them say okay. Well how many of you doing okay. Great Right now. How many of you are doing hyper civilization or pattern about is a nominally? Is predictive analytics. No automation which is not AI. We spent many reports talking about that. But we do track it because it is that when those pathways to get Aso we talk about process automation separate from autonomous systems. And then we talk about conversational systems recognition recognition systems and then goal driven system. And maybe it might not come as much of a surprise but the thing that's been the most widely implemented as of last year conversational national systems chat bots voice assistance Alexa skills. You know smart tech spots and embed. Yeah because you may not necessarily be thinking of those things is they. They're are all powered by machine learning especially the constitutional system. I you know high rate of adoption moving at a very sort of steady in four grants annual growth that the annual growth but like the OT overall adoption is like twenty percent and twenty four percent just keeps growing that episode. The thing that's kind of more interesting is the ramp. The rate at which people are implementing running process automation right or plan to within the next few years so in twenty nineteen there were about. Ten percent of participants had are bought in production production. Twenty twenty about sixteen percent but by twenty twenty five so five years from now fifty four percent so one out of every two every other. Yeah half half of the people want to have. Rpa In practice and implementation at their various companies and that says a lot to the growth in the potential of that"
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