Dialogue ‑ AI Personalization

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Updated on Jan 25,2023

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How to establish consistent, personalized dialogue with sports consumers using AI-driven insights

how we doing out there my name is tim,mitchell,i see lindsey,hello everyone and welcome to our aria,boost webinar we're super excited to,have everybody on board today my name is,tim mitchell and i get the pleasure of,setting us up for our session today um,joining us,shortly will be you're going to hear,from lindsay mana and,mustafa's working through some camera,connection situation here so we're going,to walk through that but we're here,today to talk about establishing a,consistent personalized one-to-one,dialogue with your sport consumers and,um lindsey i'm going to ask you uh are,we are we good on these slides here can,we see this,yeah we can see you're seeing great yeah,it looks great thanks tim,fantastic fantastic okay so just as a,little bit of a setup um we showed the,video from the euro european,championships we chose this date for the,session uh on purpose we did not want to,conflict with any exciting matches that,might be going on we're right on the,brink now of the round of 16 or what,they call the knockout stage for the,european world championship so super,exciting tournament so far and we just,know that there's more action ahead,whether you're a fan of france england,uh germany uh or italy the the the,run-up to the championships on july 11th,is going to be amazing but we're going,to talk more about global football in a,second,um today we're really going to walk you,through a a great program talking a lot,about arya and boost and how their,alliance together is going to lead the,industry,we're going to also meet the experts for,re and boost,we're going to talk about the,marketplace opportunity,and we're going to go through,the value propositions that the aria,boost platform provides and then finally,we're going to close with a demo,from mustafa so that's a little bit of,our setup um i'm going to i'm going to,advance us here if i can,and we're going to talk through we're,going to meet the experts my name is tim,mitchell and i am leading the charge on,go to market and commercialization for,the aria boost,alliance platform,and hi everyone lindsey manna i'm evp of,business development and strategic,partnerships here at aria really excited,to be on this call with everyone today,all right and i'm mustafa abdul hamid,i'm the ghost here uh my my webcam isn't,on i don't look quite as good as lindsay,and tim but i dressed appropriately even,though i'm at home so it's good to meet,everybody i'm looking forward to chat a,little bit more today and tim there's a,way for them to send in questions as,well so if there's anything that comes,up uh we're ready for anything so love,to hear any questions and thoughts that,you had,awesome,okay,talking a little bit about aria lindsey,you'd like to share a little bit about,arya,sure absolutely uh so you'll see some,logos here on the screen of great,customers that we're working with we are,proud at aria to be a leader of,innovative natural language technology,uh and software we are founded by just,been some phen

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Personalization Trade-offs in Designing Dialogue-based Interactive Information System for ...

Personalization Trade-offs in Designing Dialogue-based Interactive Information System for ...

hello i'm jack from northwestern,university i'll present personalization,trade-offs in designing a dialogue based,information system for support seeking,of sexual violence survivors this work,was done with my colleagues from seoul,national university seeking support for,sexual violence experience can be,difficult for various reasons finding,support services can be complicated or a,survivor might have various personal,difficulties seeking them in terms of,informative support survivors might not,have easily accessible resources,access to such systems might not be,secured using them could be delayed,and the information they found might be,wrong or irrelevant,to deal with such challenges some prior,work has been looking at conversational,system-based approaches to promptly,provide,personalized and correct information in,an accessible and anonymous way however,a question about how to personalize has,been less asked given that sexual,violence survivors have different needs,and proposes in seeking support,their cases are different in many ways,and there are different types of support,services survivors can get therefore we,ask how to design personalization of,such systems in this work to further,facilitate such dialogue-based,information systems,in other words we aim at exploring,trade-offs in how to design conversation,with users for personalization,and how a system delivers such,personalized information to users,in this context we chose conversational,interaction as a test path based on the,popularity of the format,to do so we took three major steps,consisting of design workshop prototype,implementation and a user interview,study,first we collaborated with three experts,at a nationwide support institution who,has worked in the area more than five,years,we had four workshop sessions with them,over a month to set the scope of the,system and design the dialogues,as an outcome of the workshop we derived,design considerations,then we implemented a high fidelity,prototype,with this prototype we did a preliminary,evaluation with four experts for,improvement,lastly we interviewed self-identified,sexual violence survivors through,snowballing,further details and discussion about our,methods can be found in the paper,the entire study was done in seoul south,korea so what follows relies on,circumstances such as the use of,conversational system format we derived,a set of design considerations from the,workshop first we aimed at helping users,to initiate actions with envisioning,potential outcomes to encourage them to,access support channels with confidence,second our system is designed to be used,in a prompt manner to best ensure,outcomes,third we intended our system to be,trustworthy to help users feel ready,fourth our system uses direct,expressions to support clear,understanding,lastly to help users feel secure and,safe our system is anonymous in a sense,that it does not collect any direct,identification information,in the paper we further discuss our,design con

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24. AI transforming Personalized Education

24. AI transforming Personalized Education

chapter seven,ultra personalized ai enabled education,precision healthcare and wellness,part one,education healthcare and wellness are,sectors that i'm personally passionate,about and would love to see how small,technology and ai driven technology can,help shape a better and more equitable,educational and healthy world,in this chapter we continue our scenes,making journey on the application front,to understand how these sectors are,getting ultra personalized and ai,enabled,transformative ai for personalized,education,with digitization increasingly,penetrating the education sector it is,becoming ripe for serious transformation,and disruption,this is already happening through,ai-powered smart technology solutions,that will not only help to deliver,education knowledge and skills in new,and creative ways but enable,personalized education at scale with a,wide range of beneficiaries across age,socio-economic conditions and,geographical regions,even though we have seen education,technology being used over the last few,decades for the most part our education,systems are still run on the 19th,century factory model where a,one-size-fits-all solution attempts to,educate different kinds of people,motivated by different things and with,varying needs learning styles and places,of learning,still they must learn the same things in,the same way at the same time and are,passed or failed based on whether or not,they test well and whether their,learning styles happens to fit into a,model that is forced on them,of course before technology and smart,technology in particular there was,little other way to ensure the masses,had access to education,resources and teachers were limited and,confined to a place and a time,if you struggle to absorb information,before 9 am too bad school starts at 7.,if you get testing anxiety causing you,to fail when you have actually absorbed,and understood concepts and information,better than a grade students too bad you,do not move up a grade,nelson mandela emphasized the crucial,role that education plays for humanity,by saying that education is the most,powerful weapon which you can use to,change the world,it is also clear that ai is not only a,key differentiator for educational,institutions that adopts it but has the,power to become an equalizer in,education,aya driven smart technologies are well,suited to assist with achieving key,educational objectives such as,personalized learning at scale mentors,for every learner universal access to,global classrooms developing the,essential skills to thrive in the smart,technology era providing education for,all lifelong and life wide learning and,improving teaching efficiency and,effectiveness,as ai is enhancing education technology,it helps to understand how the global,education technology market is evolving,the size of this market is expected to,grow to 285 billion dollars in 2027 at a,compound annual growth rate of 18.1,percent from 2020 to 2027 with north,america accounting for a majority share

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Personalized Companion Robot for Open Domain Dialogue in Long Term Elderly Care - POSTDOC PROJECT

Personalized Companion Robot for Open Domain Dialogue in Long Term Elderly Care - POSTDOC PROJECT

hello I'm Mahoney fan I'm a postdoctoral,researcher and a digital Futures fellow,at kth roll Institute of Technology in,speech music and hearing with more than,a billion people over 60 worldwide,creating technology that supports the,age to live independently for longer by,assisting them in an everyday tasks,became essential,however current technology falls short,and maintaining engagement over,long-term interactions among the reasons,is the inability to learn from users and,adapt known as lifelong learning,especially with an open domain dialogue,that is not limited to any topic that's,why this project aims to develop a,personalized companion robot for elderly,care that learns about users through,open domain dialogue to provide personal,support and assistance over long-term,interactions for this purpose we propose,using a large language model such as gp3,bloom or blendable that generates,dialogue responses based on training,data and input for personalizing,conversations and donating coherent,responses with multiple users over time,the facts about the agent end users are,extracted from conversations which are,input to the model along with the,current dialogue typically these facts,can be stored in a knowledge base,however over long-term interactions this,is not scalable as a data bought the,user will increase and change over time,which makes it challenging for the model,to find relevant information and so I,will update the model with data,continuously over time using lifelong,learning techniques,in order to better understand the needs,and preferences of the elderly they,conducted semi-structured interviews,with six elderly volunteers they also,interacted with the four hat and robots,with personalized dialogue using gp3 as,shown here from an excerpt,hello,at the personalized companion robot what,is your name my name is,do you have any hobbies,and I also like to pick Paris,these interviews show some of the,challenges to address throughout the,project first of all the model kept on,repeating same responses and the small,talk generated felt artificial and,interrogative that's why we need to find,the lifelong learning and a language,model that's best suitable for elderly,Edition older adults in Sweden may not,be fluent in English which creates a,barrier for interaction with the,language models that are trained on,English data this can be overcome by,translating from English to Swedish and,vice versa however this brings,additional challenges in speech,recognition and translation,but speaking English may also improve,the non-native English non-native,speakers English level as well that's,why we want to explore this further with,young adults or a training study which,also show the capabilities of the robot,after which the robot will be deployed,in an elderly care house for a month if,you have any questions or suggestions,about the project feel free to reach out,and thank you for listening

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Using Web Personalization and Content AI in the Real World

Using Web Personalization and Content AI in the Real World

everybody I'm JD Nelson more formally,known as at Marketo guy for those of you,that want to tweet me go for it I am,been using Marketo for about six years,kind of been an advocate for all of them,big fan have certified five times or,something like that but been a Marketo,champion for two years now and I think a,lot of the speakers this year on the,Marketo side are our fellow champions so,a lot of us that you'd bet you're,hearing from so I was an early adopter,of website personalization am content,AI when it came out kind of in the 2015,timeline timeframe so it's been quite a,few years so why don't we get into it a,bit of background so when using website,personalization or content ai and we'll,get into a little bit what that is a lot,of it depends on you know how many,people are coming to your website how,many emails you're sending that utilize,the functionalities so as kind of a,caveat to the traffic we were doing we,were sending about 200,000 emails per,month at the time these are operational,these are response these are webinars,these are demand and these are product,every email in Marketo so not specific,just to these campaigns but just to give,you kind of a kind of overview of what,we're doing we're also receiving about,10,000 unique visitors to our website,per month so think of it when you're,personalizing your website you're,getting all these metrics for people,we're in the ten thousand range expect,if you have these products your results,will vary hopefully in the better but,just to kind of level set the field so,website personalization I get a lot of,requests and I've been on the phone with,a lot of Marketo customers a lot of,market up prospects website person they,can come to me either they are,add-on products and so a lot of times,you know I do reference calls for them,to try and explain kind of in a in a,real-world scenario how I use it what,what it's capable of you know no sales,pitch by any means kind of giving,everyone as much information so that's,kind of the purpose of of getting people,in here is to really get into you know,how I was using it the nitty-gritty,reports the details the success metrics,and then you can kind of glean some,inspiration hopefully and find some some,tips and tricks for it we will start a,little in the weeds and work our way up,to the colorful examples so bear with,some of the screenshots but just to get,everyone kind of level set on website,personalization it's what allows us as,marketers to identify segments and then,target those people those visitors with,specific information across the website,over time and so the first question I,get when trying to implement something,like this is you know how hard is it to,set up right are there you know scripts,and data crawlers and you know,JavaScript that you need to imply how is,it different than the Munchkin code that,people are already putting on their,sites and so it's it's actually simple,this is the code in its entirety the,only thing you have to update are

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Personalized Machine Learning

Personalized Machine Learning

oh hi everyone i'm happy to be here and,thrilled to tell everyone about,personalized machine learning,so,basically the kind of topics i'm going,to cover today will give you a very,broad stroke summary of what,personalized machine learning consists,of i'm going to start by talking about a,bunch of examples of personalized,machine learning that many of us,probably encounter in our everyday lives,i'll explain a little bit about how,personalized machine learning is,different from,other types of machine learning and as a,working example i'll sort of walk,through how,one solves problems in in recommender,systems and i'll talk about some,specific technical approaches,uh following that i'll i'll talk briefly,about a few different topics and explain,how personalized machine learning and,really ideas from our personalized,recommender systems can be adapted to,other settings in,personalized natural language processing,personalized machine vision so on and so,forth,and then i'll kind of talk about some,future directions in personalization and,personalized machine learning,and also about how,we have sort of new fairness and,algorithmic ethics problems,um,when we deal with systems that,personalize their predictions to,individual users,okay so,what exactly is personalized machine,learning and where do we encounter,examples of it in our everyday lives,so,you know uh,maybe the most familiar example of this,is a recommender system but broadly,speaking you know uh,we encounter systems for personalized,machine learning,whenever we interact with models that,make predictions for us specifically in,other words the predictions that you,receive,uh will be different from the,predictions that other people receive,either because of a model um the system,has of you,or because of some personal context that,is associated with with you or what,you've done recently so yeah a,recommended system this example is i,think from netflix is,maybe the,canonical example of a personalized,machine learning algorithm netflix has,some some model of what you like or,possibly they just have a history of,what you've done recently,on the basis of which they make some,personalized recommendations everyone,will see,at least somewhat different things when,they visit the netflix homepage which,are ostensibly things that,netflix has,estimated that you have a high,probability of liking or a high,probability of interacting with or,watching to the end or something like,that,but yeah there's plenty of examples,outside of recommendation uh i'll i'll,give a few,broad strokes examples today,so one example is personalized natural,language processing,so,where do we see personalized examples of,of nlp something like,google's,smart reply system,you,receive an email or you're participating,in a thread of emails and they recommend,some,likely replies that you might use,which for the most part are pretty are,pretty reasonable you know those those,replies are going to be different based,on the context of the email y

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How Personalization is Changing the Publishing Landscape with EX.CO - diDNA Dialogue

How Personalization is Changing the Publishing Landscape with EX.CO - diDNA Dialogue

welcome back to the dinner dialogue,everybody my name is josh and today we,have the vp of strategic partnerships,with xco johanna breakfast johanna can,you kick us off with a little bit of,your background in the industry and how,are you,with exco and perfect pronunciation of,the name,i've had practice,probably makes sense to kind of start,start on the background a little bit,um,last name swedish,spent some time in asia in japan,lived in london and then finally have,landed in new york,where i've been at xco for about,probably seven years now,and uh for those of you who don't sort,of know what xcode stands for which we,chatted about a little bit as well it,actually stands for the experience,company,so we are a disney-backed content,experience company and we power,basically billions of,personalized interactions around the web,on the um and i think and again,correctly from but you know,predominantly the audience here is,publishers,so on the publisher side we provide a,full video stack so that's from content,generation so we help publishers get,more video content on their site that,can be through,auto generation or syndicated content,and then all the way through the actual,monetization the yield management and,actually the you know the delivery of,your campaign so publishers campaigns,so in that sense we're very much a,one-stop shop it's all through a single,sign-on basically one platform,in terms of sort of where we sit,in the ecosystem we're actually quite,unique,um the company as a whole spans,uh the ad tech space um,martech but also e-commerce so for,partners,we actually provide,additional tools around collecting,first-party data and that can be through,different interactive content,experiences such as polls it's a really,smart engaging way to to gather,audience insights which we know is you,know becoming more and more important,with all the changes happening well,eventually hopefully happening,with the cookie,from the media from the app monsters,event last week it sounded like maybe,that is something that is still on hold,but we'll see,um and then in addition to that uh we,have tools that help editorial teams,marketing teams,um help drive subscriptions um and other,sort of sales goals,so,for publishers we we really do offer,tools that help achieve multiple,business goals whether that's revenue or,you know building out your subscription,base or collecting email addresses,um so a little bit more full service,than maybe um you know other companies,that sit in this particular niche,of the ad tech industry,yeah for sure and you so in your role,you handle specifically publisher,development and i know we kind of talked,to that a little bit but as you said,exco is a much larger company so i'm,curious,could you give a little bit of a,background more on the different pieces,there and then how it impacts your,day-to-day because if you're living and,running this one silo i'm sure the other,pieces impact you in some way,sure um so,we have i'd say we're kind o

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Artificial Intelligence and Personalization in Communications: Wendy Glavin

Artificial Intelligence and Personalization in Communications: Wendy Glavin

hi my name is Simon Luke I'm the founder,and CEO of communications match today,I'm delighted to be with Wendy Glavine,wendy is a CEO of Wendy Glavin agency,she specializes in marketing social,media and public relations Wendy why,should communicators be paying attention,to artificial intelligence first of all,everyone should be paying attention to,artificial intelligence because it's,something that we use every day and it's,all around us,Google knows what we're searching for,Facebook knows what we're sharing Amazon,knows what we're buying brands can take,massive amounts of data which can be,aggregate aggregate it and scaled in,milliseconds and then they can gather,personalized and customized insights,about their customers preferences,interests brands and buying habits the,most important thing is personalization,in 2018 brands need to build,relationships and gain trust how do they,do that by knowing their customer ami,has become a new marketing buzzword how,should companies and communicators be,telling maybe their AI stories well,first of all actually you're right 47%,of marketers do believe that AI is just,a buzz word and the reasons for that or,that sometimes new things come along and,people feel uncomfortable or they just,don't really understand but AI is here,to stay because that's what customers,are looking for their expectations are,very high and what AI can do can reach,the customer in the moment that matters,where they are whether on their phones,whether on watching videos searching,online so now it's all about,customization and personalization so,that's what marketers and communicators,can do this year and focus on giving,personalized customized stories to their,customers and prospects when it comes to,AI what lessons have you learned in your,communications practice about what does,and doesn't resonate well basically what,resonates with the,is always the same it has to be,educational newsworthy relevant and be,and coordinate or be topical based on,what they're they're talking about and,writing about so it's really important,to research the editors you know or,connect with them on Twitter and really,get to know what they're writing about,it's important to really understand the,industry sector that you're working in,do a lot of research and then add,something to the story and the final,point I'll make is you know stop,pitching to editors,I mean editors and journalists they need,background information for future,stories they hate buzzwords they hate,superlatives and we really have to offer,them something of value and keep in mind,always in first paragraph who what why,and how and don't show what you don't,tell what you do show what you do,Lindy thanks very much indeed thank you,for having me sign

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LVMH-SMU Luxury Conference 2021 on Personalization Powered by Data and AI (9 June 2021)

LVMH-SMU Luxury Conference 2021 on Personalization Powered by Data and AI (9 June 2021)

welcome back,the previous gen zed discussion brought,out themes such as curation,and digital fluency all central to,today's,luxury experience we continue with these,themes into the next session,personalization powered by data,and ai here we will discover how lvmh,mesons are using data,and ai to make informed decisions that,help to craft,the customer experience of tomorrow,introducing the panelists in dialogue,today,we have wendy chan senior vice president,digital apec lvmh who manages the asia,digital transformation,and strategy team for the lvmh group,she joined lvmh in 2003,as a regional media director for asia,pacific and then moved to el caton asia,in singapore subsequently she started,the lvmh digital asia department in,april 2017.,joining wendy is archer lee vice,president,digital and e-commerce for sephora china,asha has been leading the e-business,team at sephora china,since 2019. he's an omni-channel and,digital transformation pioneer,and e-commerce veteran with brand and,retailer experience,across apec we also have amrita balaji,senior manager regional growth marketing,southeast asia,sephora she currently leads the,marketing tech,and seo functions which are responsible,for the growth of sephora's e-commerce,business,on this note over to you wendy to,kick-start this panel discussion,thank you so thank you and good morning,archer and also amrita so it's very good,to have you today,and then so we can also share what is,actually uh,in this region right and then also the,practice of lpmh,so the today's sessions right is about,future of luxury,and our discussion is focused on data,and ai,so i think it seems like it's not really,related right in terms of luxury and,data and ai,but actually we see that in our industry,we actually use it quite a lot,so why i'm saying that because data ai,provide us a personalization,opportunity and also to increase or,improve the consumer experience right,so so far maybe a meter you can share,with us,what you see in terms of the opportunity,of using data ai in the discipline in,sephora so far,yeah definitely um i think all these,buzzwords you just said,you know personalization that's powered,by,data and artificial intelligence all,these terms are super,interconnected with each other and i,think definitely are very key,in shaping up the experience that we,give to our customers,um first of all i want to talk about my,perspective with respect to sephora,as we all know sephora is,an omni-channel retailer and one of our,key focuses has always been to provide,that,you know seamless experience for,customers between the digital and the,physical stores,uh the physical store the retail store,itself it's a great front to provide,that experience um for customers for,experiencing,the brand experiencing products etc,and i think especially after the,pandemic uh with,restrictions to accessing stores,products etc,i feel now more strongly than ever that,actually technology is kind of the way,that can bridge the experiential gap,b

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How to use ChatGPT to build Business Ideas, Sites & Personal Projects

How to use ChatGPT to build Business Ideas, Sites & Personal Projects

chat GPT is more than just a language,model it can be used to create websites,businesses and much much more and I,would know because I created built and,sold a business on open ai's platform,just this year so in this video I'm,going to explain how you can do the same,using chatgpt and its models I've,structured this video in three different,parts the first part of this video will,cover the real world example of the,business I created and then sold the,second part of this video will cover how,to use chatgpt and its tools and models,to actually build websites applications,and businesses and the third and final,part will be the technical aspect which,is what this actually looks like behind,the scenes what you have to do in terms,of writing the actual code and how to,implement it into your own application,or website if at any point you feel,stuck or you want more information I,also have three useful videos that will,help you the very first is an,introduction to what chatgpt is and how,it works the second is a crash course on,using charge EBT essentially doing the,prompts and getting the outputs that you,would like and the third and final one,is the behind the scenes look at the,business I created called enhance UI all,of these videos should have popped up as,tooltips up here otherwise they'll also,be in the link in the description below,so let's start off with the first part,of this video how chat GPT is more than,just a model for chatting to an AI and,how it can be used to solve problems as,well as create business opportunities,they've only recently opened up chatgpt,to be available and free for anyone to,use which means you can try it out right,now at the link in the description below,but on top of that they've also made the,openai models available for anyone to,build out any ideas whether it's for,your own business or even just an idea,or a hobby you have so while openai had,this restricted behind a private beta I,was lucky enough to get access to that,private Vader these models weren't as,refined as chat GPT is today you had to,play around with lots of parameters to,get the outputs you wanted and there was,no nice interface to be able to chat,along with it you can still access that,playground I'll link it in the,description below where you get to play,around with a bit of a Sandbox of chat,GPT and its models and you can also,figure out exactly how you might,consider building your own business or,ideas so moving back to this idea that I,built up it was to solve my own problems,back then these problems were to do with,development and coding because I was,making a lot of mistakes and I wanted to,see if this AI model could basically,help me solve them and so I trained GPT,to do this quite effectively I built a,front end and a back end around this,website and I called it enhanced AI it,was essentially just like chat EBT just,dumb down a little bit so that any,developer could get answers to very,specific questions that they were asking,questions includ

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