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Tag: chatbot

  • BofA launches AI chatbot functions | Bank Automation News

    BofA launches AI chatbot functions | Bank Automation News

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    TORONTO — Bank of America announced the addition of AI capabilities to its CashPro Chat function at Sibos 2023 Monday, bringing an enhanced user experience to its corporate and commercial clients.  The $3.2 trillion bank’s CashPro Chat now uses the same proprietary technology as the bank’s AI-driven consumer-facing bot Erica, Tom Durkin, global head of […]

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    Whitney McDonald

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  • 4 AI-driven startups to watch | Bank Automation News

    4 AI-driven startups to watch | Bank Automation News

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    Fintech startups are increasingly leveraging AI to make operations and offerings more efficient for financial institutions. At Finovate Fall 2023 in New York this week, fintechs hit the stage to demonstrate the latest in AI innovation — AI is serving a wide variety of use cases.  Of the more than 70 that demonstrated their technology […]

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  • Fifth Third updates chatbot | Bank Automation News

    Fifth Third updates chatbot | Bank Automation News

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    Fifth Third Bank looked to ChatGPT to update its chatbot’s natural language understanding model in order to keep up with growing adoption and advanced customer inquiries.  Fifth Third’s chatbot, Jeanie, facilitates around 200,000 conversations per month, and with the update is now able to understand 30,000 customer phrases, up from 250 phrases six months ago, […]

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  • DNB’s chatbot has 83% accuracy rate | Bank Automation News

    DNB’s chatbot has 83% accuracy rate | Bank Automation News

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    LONDON — DNB’s internal chatbot fielded more than 2.1 million queries last year and boasts an 83% accuracy rate.  Juno, the chatbot launched in March 2020, “knows how to answer around 3,500 questions and he can also answer them in seven different ways, depending on what kind of adviser is asking the question,” Jorgen Hansen, […]

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  • Podcast: FIs should view AI as a team member | Bank Automation News

    Podcast: FIs should view AI as a team member | Bank Automation News

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    Financial institutions can treat AI as a team member in need of training rather than a tool that needs monitoring. 

    “The banks and credit unions who really get [AI] right are the ones who are treating AI more like they would treat onboarding a new team member,” Lindsay Soergel, chief product and experience officer at fintech Kasisto, said on this episode of “The Buzz” podcast.  

    Think of AI as one person who has a lot of knowledge, who needs to be trained, developed and understood to become a brand ambassador, she said. 

    Once trained and trusted, financial institutions can look to AI to build client relationships, answer client questions and represent a bank’s brand with personality that has been embedded into the technology, Soergel said. 

    Listen as Kasisto’s Soergel discusses intelligent digital assistants, treating AI as a team member and how FIs can bring personality into the technology. 

    Join Bank Automation News for the upcoming webinar, Global Ideas for Better Banking AI, on Thursday, Sept. 14, at 11 a.m. ET.  For more information on this free webinar and to register, click here. 

    The following is a transcript generated by AI technology that has been lightly edited but still contains errors.

    Whitney McDonald 0:01
    Hello and welcome to The Buzz a bank automation news podcast. Today is August 31 2023. Joining me today to discuss how FIS can change their mindset when approaching AI and intelligent digital assistants is Lindsay Soergel, Chief Product Officer at Kasisto. She has background in both FinTech and banking, having worked as a technology leader at both PNC and SunTrust Banks.Lindsay Soergel 0:25
    Thank you, Whitney. It’s, it’s great to join you today on The Buzz. I’m Lindsay Soergel. I’m the chief experience officer at Kasisto and I focus on connecting our products and services with our financial institution clients, and with their customers and members. And we do that all over the world. We’re fortunate enough to have customers in 16 different countries. I’ve worked in web technology for more than 30 years, and I’ve worked in the digital banking industry since the late 1990s. So it’s been a while managed digital banking and cross channel experience teams at PNC and SunTrust banks and an NCR. And I’ve built FinTech businesses at Equifax, and Deluxe. So I guess, all of my roles have kind of focused on the goal of connecting people with their finances through data and technology. So when I found consistent I thought it was a dream world, you know, the, it’s a very next logical step in my career. And we focus at Cisco on making sure that people are armed with information that helps them to make smarter financial decisions. And, and that’s what their purpose of this organization has always been. It’s a conversational and generative artificial intelligence provider. We focus exclusively on financial services. We build intelligent digital assistants, and other types of AI products come because Cisco has been around for a while, we got our start back in 2013, at the Stanford Research Institute, where Siri was was born, and our tech stack is rooted in the same tech stack as Siri, we’re headquartered in New York, we have about 50 banking clients all over the world. And our customers range from the largest institutions like JPMC and Westpac and Standard Chartered to some of the smallest community banks and credit unions out there. We’ve got about 35, community banks and credit unions now. And that number is growing every week.Whitney McDonald 2:35
    So thank you so much for being here and explaining your background. As you had mentioned, we’re going to talk through AI intelligent digital assistance. But before we get into all of that, I’d like if you could just set the scene here by talking through the notion of combining artificial intelligence and human teams and what financial institutions can learn from that approach from Francisco?

    Lindsay Soergel 2:57
    Sure. Well, I guess, by definition, pretty much every FinTech provider, focuses on building tools, that you’ll either help bankers do their jobs better or help consumers do banking better, or both, right. So ecosystem, we do that. And I guess in that sense, we’re like other fintechs. But the technology that we produce is very different from other software tools. In fact, I would argue, and I often do argue that it’s not a tool at all, it is much more like a teammate. And I actually had to learn that for myself. When I joined Cisco, I thought, you know, I’m coming in with a lot of banking experience, a lot of digital banking experience, I know pretty much what you need to know about digital banking systems. This is a really cool, neat, new thing. But I quickly realized that there is a very clear distinction between financial institutions who are finding success with conversational AI, and those that are still kind of struggling to make it work for them. And the difference was that the ones who are maybe struggling a little bit having some challenges are treating the AI just like they would treat any other digital or mobile banking, app deployment, right, any other sort of automation project. And right, these are smart people, they’ve got 20 plus years successfully deploying all kinds of self service software, just like I had, and they are often imagining that with AI, we’re building just another new self service channel. You know, we’re our goal is to perfectly automate a transaction or multiple transactions, so that you never have to interact with a human. So if If I’m a self service oriented consumer, I can transact completely by myself independent of an assistant of any kind. But that knowledge is actually what gets in the way of success with AI. The banks and credit unions who really sort of get this right, are the ones who are treating AI, more like they would treat onboarding a new team member. And that was a huge epiphany for me. You know, I realized that it was the non digital banking experts, who were playing a huge role in the success of AI. We have a client at Cisco, one of our faves, Jean Fichte, and holds from Mary West Credit Union out on the West Coast, in I thought he put it really well. He says, I think of AI, as this one amazing person with this really huge brain and with access to all the knowledge. And that, I think, is exactly what we mean when we talk about ai plus human teams. So when you’re introducing AI to your business, I think it really would be wise to lean on the people at your financial institution who understand the people interactions, understand the assistant channels, and more so than even the self service channels. You lean on your marketing team, especially the brand folks and the experienced designers, the people who think about the ways that your frontline staff, with their words and with their interaction and with their personalities can create a really welcoming experience for folks who need answers. Oftentimes, the best customer care and member care managers, or the best branch managers play a key role in creating a successful AI deployment. These are the folks right, because they’re, they’re great at onboarding, and training, and developing successful customer facing teammates, who then turn into great ambassadors for the brand. And so that’s the mindset that you’ve got to have. I think that that not that AI is a tool for your team, but that AI is really working with your team, you know, kind of hand in hand, I guess. I guess AI doesn’t have hands. But if you know if aI had hands will be working hand in hand with your team. And so that mindset is what really helps the most successful teams to get up and, and working faster, you’re hiring a new teammate just happens to be AI, you’re introducing them to their colleagues on the team, you want to create seamless relationships between the two good, collegial working relationships. You want those existing folks, whether they’re in the contact center, or in the marketing team, or wherever they are, you want them training the new kid, assign a good mentor to the new employee, right? Make sure they understand what are your expectations for how you’ll be communicating with consumers? What are your practices? What are your brand standards, you train them, and then you let them go to work, just the way you would let an employee go to work, right? You don’t QA them for three months, you know, you know, you don’t necessarily spend all the time in the weeds with with making sure the codes perfect. You watch them, and you give them tips, but but then you let them go to work.

    Whitney McDonald 8:47
    Now you talk through changing that mindset, not necessarily having AI as this new tech tool, but treating it like part of your team you just talked through working hand in hand. Maybe we can talk through how Christo has put this into practice, more specifically within its intelligent digital assistant, how do you achieve this? This approach?

    Lindsay Soergel 9:12
    Yeah, I think there are a couple of ways that we really work hard to make sure that we’re helping our financial institution clients to create an appreciation for ai plus human is generally people consider chatbots traditionally, to be the domain of the contact center, and the customer service teams. And there is absolutely no question that the contact center is a very key connection point for the digital assistant. You know, if you think about even the most digitally savvy, very self service oriented customers, they’re going to want to chat with a human from time to time. So one thing we’ve done is to make certain that our digital assistants are integrated out of the box with live chat experiences. So we come pre integrated with financial chat systems like Link live or glia, and other ones out there. And so when a consumer does need to shift from that digital realm, over into the human assisted realm, or vice versa, the entire chat conversations can be passed between the digital assistant and the live chat, the human agent. And that can be done without any Miss missing a BT at all for the from the consumers perspective. But we’re also I think, even more concerned, because Cisco about the less digitally savvy customers, the folks who maybe wanted to speak with a human, but they weren’t able to, because they were directed to the digital assistant as a first stop, or they weren’t able to wait in a call queue. And that’s where I think our technology, and our onboarding process is really focused on how can we address that particular need? So we spent a lot of time working with bankers, who are in the process of thinking through what will be success? what will success look like, in their final implementation in their final introduction of their new digital teammate? And we asked them to consider how how can the digital assistant be used to help that group of traditionally maybe digitally averse consumers be more at ease when they’re interacting? Maybe it’s the first time with a digital assistant or Chatbot. Maybe they have a preconceived bad experience with other solutions that weren’t great. So, you know, what’s that first greeting? Like? Is the user interface in any way intimidating? Or is it inviting, helpful, pleasant? Is it personable? Is it conversational? And, you know, I think one of the best ways that that the bankers can kind of think through this process is to think about what’s the right personality? For our digital assistant? What are the characteristics that would really appeal to our community audience? Or to if it’s a larger financial institution, or one that serves multiple audiences, to the various audiences that we serve? What What should that unique personality be?

    Whitney McDonald 12:38
    Now to expand on that idea, a little bit of bringing personality into the IDA? How do you achieve achieve that? What is the technology look like to to bring human like interaction into something that is a digital tool?

    Lindsay Soergel 12:57
    Yeah, I mean, so I think the first thing, when when you’re looking to create a relationship, is to not necessarily start with the technology, I when I will, I will talk about how we all the technology works and enables this, but it’s important that the FYI, just sort of start with the consumer first. Think about the process of banking, and how it can sometimes be intimidating to certain sorts of audiences. And, and not necessarily audiences that are not tech savvy, or already tech savvy, where you might have young people who are just starting out in the world and are not intimidated by tech, but are intimidated by banking. Or you might have you know, folks who are particularly astute and savvy in retail banking, but they’re just about to open a new business, and they’ve got some questions, and they feel a little bit like a Rube all of a sudden, you might have a person who’s changing financial products and needs advice, right? Or folks who’ve moved to maybe maybe just moved to the states are learning our financial system, etc. Right? So there’s, there’s all different sorts of reasons for folks to need a digital assistant. And so I think we would encourage our banking clients to stop and think about their community of users, and to think about what are all the sorts of issues and challenges that they are that their digital assistant and its personality needs to solve? So first of all, just basic good old fashion outside in consumer centric design, right, that we’ve all been thinking of so those techniques around, you know, sort of usability and, and user focused design really pay off Um, our customers tell us that increasingly, a lot of consumers in those some of those segments that I kind of ran through there, they’re using the digital assistant as a starting point. So it’s a way of gathering some facts and information before they’re ready to walk into a branch and sit down across from a banker who can help them with more complex transactions, or maybe they’re going to call up somebody in the call center to initiate a transaction, but the IDA becomes a place for them to start. And, and when that’s the case, those customers definitely are not looking for a flat, kind of traditional chatbot robotic interaction. So it would be wrong to sit there and think, you know, here are the here’s the question, here is the answer. We want to think about what kind of tone do we want to imbue into that interaction? And our tool, our content management tool, allows our banking clients to figure out exactly what it would be what are the kinds of ways that would put their customer base at ease? How can I help them to feel more comfortable? You know, so, if a customer is looking for a very financially literate conversation, and a helpful, intelligent assistant, the digital assistant can can deliver that. So that right what’s involved in that there’s, there’s an AI piece of it, and a natural language, understanding piece of it on the technology side, that allows us to recognize all the various ways that a customer consumer may be asking a certain sort of question. And then there is the part that’s up to the banker to think about, how do we want to respond? Are we a very professional type of brand, are we more lighthearted type of brand, right? And so that’s how a little bit of digital personality gets imbued into the the idea, I would say, the most successful financial institutions to embrace the capabilities of Chi Chi’s our platform. And our and our tools, our content management tools? are the ones who are thinking about that first greeting? And what are the characteristics of the personality that they want to highlight for their members and customers? And I’m always fascinated by the fact that there’s really no one right way to apply the technology. Digital Assistant for a private wealth oriented bank in southeastern US, is going to be very different from the persona that you know, a digital only FY in the Pacific West, that maybe only tailors to a younger clientele is going to deploy.

    Whitney McDonald 18:07
    Now, as we talk through AI driven technology daily, you see updates to what AI can do, how does the system make sure that that’s all being updated? Within its platform as well? How do you stay up to date with something that is changing so quickly?

    Lindsay Soergel 18:26
    Yeah, it’s a good question. I mean, we are, I suppose we do it in a couple of different ways. And it requires keeping pace both technically. And right, from a regulatory standpoint, and just from the standpoint of what are bankers looking to do? What are what ideas are they having? What are they struggling with? And so the most important thing that we’re doing is we’re talking to as many bankers every single day as we can we literally, I can’t think of a day in the past six months, that we have not been on the line with customers, prospects of financial institutions, large and small, just to understand, what are you trying to do? Where do you see the opportunity? Across your segments? Across your use cases? Are there different sorts of things that you’re looking to do? And it’s just because the tech is so new, it is evolving every single day. And so we we want to keep pulse on what our very creative, innovative clients are thinking about. And as they’re developing new concerns or new questions, it’s very likely that we have spoken with some other client who may have worked with us to already solve that particular challenge.

    Whitney McDonald 19:55
    You’ve been listening to the buzz, a bank automation news podcast, please follow us on LinkedIn. As a reminder you can rate this podcast on your platform of choice thank you for your time and be sure to visit us at Bank automation news.com For more automation news

    Transcribed by https://otter.ai

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  • Intelligent automation | Bank Automation News

    Intelligent automation | Bank Automation News

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    Intelligent automation has emerged as a transformative solution to revolutionize both customer interactions and backend operations. Through technologies like chatbots, virtual assistants, automated workflows, Robotic Process Automation (RPA) and data analytics, financial institutions can provide personalized support, streamline processes, reduce errors and ensure regulatory compliance.  

    Joselenys Moreno, researcher, Cloudsquare

    This article explores the power of intelligent automation, highlighting its ability to enhance customer experiences and drive operational excellence in the financial services industry.

    Enhancing customer interactions 

    Chatbots and virtual assistants  

    Chatbots and virtual assistants are rapidly gaining popularity, with the chatbot market expected to reach a staggering $142 billion by 2024. In the financial services industry, these AI-powered tools offer significant benefits. They can assist customers with tasks like checking account balances, making payments and even providing financial advice. 

    The ability to operate 24/7 without the need for human agents improves customer satisfaction and reduces operational costs. Moreover, chatbots leverage AI to analyze customer data and preferences, enabling them to offer personalized recommendations for financial products and services.  

    Successful examples include Bank of America‘s Erica, which has over 10 million users, and Capital One‘s Eno, which engages customers with emojis and humor. Wells Fargo also employs a chatbot via Facebook Messenger, utilizing natural language understanding to handle complex queries. Embracing chatbots and virtual assistants opens doors to enhanced customer experiences, increased engagement and improved conversion rates for financial services companies. 

    Automated customer workflows  

    A study by McKinsey found that automation can reduce customer service costs by up to 40% and increase customer satisfaction by up to 20%. Additionally, automated workflows can reduce manual errors by 75%, enhance customer satisfaction by 50% and increase revenue by 15%, according to a recent study by Forrester. 

    Moreover, automation can help financial services companies to: 

    • Streamline customer onboarding. Automated emails or chatbots can guide new customers through the registration process, verify their identity and provide them with relevant information and resources. 
    • Improve account management. Automated systems can monitor customer activity, send personalized offers and recommendations, and alert customers of any issues or changes in their account status. 
    • Support processes. Automated tickets or chatbots can handle common customer queries, provide self-service options and escalate complex issues to human agents. 

    Overall, automation can help businesses deliver faster, better and more consistent customer experiences across the entire customer journey. 

    Streamlining backend operations  

    Robotic process automation  

    RPA can automate repetitive, rule-based tasks within backend operations and offer benefits to financial services companies, such as improved accuracy, reduced processing time and cost savings. 

    RPA can also help financial services companies optimize their backend operations by streamlining workflows and enhancing customer service. For example, RPA can automate tasks such as data entry, invoice processing, reconciliation, reporting and fraud detection. According to Big Four accounting firm EY, RPA can provide cost savings ranging from 20% to 60% of baseline FTE costs for financial services. 

    This powerful tool can help financial services companies improve their backend operations and achieve a competitive advantage. By automating repetitive, rule-based tasks, RPA can enable financial services companies to focus on more strategic and value-added activities. 

    Data analytics and insights  

    Automating financial data collection and analysis offers real-time insights into your organization’s financial health. This makes it easier to predict cash flow, identify trends and decide where to allocate resources. You can also use automation to build “what-if” scenarios to test the impact of different decisions. 

    A main benefit of financial automation is its ability to detect fraud and anomalies. For example, automation tools can monitor transactions and flag suspicious activities based on predefined rules or patterns. This can help prevent losses and protect your reputation. 

    Another benefit of financial automation is its ability to identify opportunity and risk. For example, automation tools can use historical and current data to forecast future outcomes and trends. This can help you optimize your pricing, marketing and product strategies. 

    For example, a global bank can use automation tools to analyze customer behavior and preferences across multiple channels, helping to segment its customers and offer personalized products and services. 

    Overcoming challenges and ensuring compliance  

    Addressing security and privacy concerns 

    Data security is crucial to any business that handles sensitive customer data. Data breaches can have serious consequences for both the customers and businesses, such as identity theft, financial losses, reputational damage, legal liabilities and regulatory fines. 

    One way to enhance data security and privacy compliance is through automation. Automation can help reduce human errors, streamline workflows, enforce policies, monitor threats and respond to incidents faster and more effectively. Automation can also help businesses comply with various data protection laws and standards, such as the General Data Protection Regulation, the California Consumer Privacy Act, and the Payment Card Industry Data Security Standard. 

    Data security is not only a legal obligation but also a competitive advantage for businesses. By using automation technologies and following industry best practices, companies can protect customer data and enhance trust and loyalty.  

    Navigating regulatory landscape  

    Intelligent automation is a game-changer for financial institutions navigating the complex world of regulatory compliance. Harnessing RPA, AI and machine learning, financial institutions allows you to streamline compliance processes, reduce human errors and enhance operational efficiency. 

    Financial crimes compliance, such as know-your-customer activities and transaction monitoring, can greatly benefit from intelligent automation’s capabilities, as it efficiently manages regulatory compliance risks. Additionally, RPA automates finance processes like invoice processing and reporting, optimizing operational efficiency.  

    However, implementing intelligent automation requires a well-defined strategy, assessment and pilot program, alongside proper governance and skills to manage associated risks. Yet, the rewards are significant. Financial institutions that successfully embrace intelligent automation not only meet stringent regulatory requirements but also gain a competitive edge in the market.  

    Conclusion 

    In the dynamic realm of financial services, intelligent automation emerges as a catalyst for transformation, empowering organizations to elevate customer interactions and streamline backend operations. By leveraging technologies like chatbots, virtual assistants, automated workflows and data analytics, financial institutions can deliver personalized experiences, enhance efficiency and ensure compliance.  

    We encourage you to explore the possibilities of automation technology in your organization and discover the solutions we provide tailored for financial services companies. Embrace intelligent automation and unlock a new era of success in the digital age. 

    Joselenys Moreno is a researcher at Cloudsquare, a Salesforce consulting partner specializing in creating solutions for the financial services industry.  

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  • Bank of America’s AI-driven chatbot | Bank Automation News

    Bank of America’s AI-driven chatbot | Bank Automation News

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    Bank of America’s AI-driven chatbot Erica has surpassed 1.5 billion client interactions since its 2018 launch, the bank said today in its second quarter earnings presentation. The chatbot totaled 166 million client interactions in the quarter, up 35% year over year, according to the presentation. WHY IT MATTERS: Before Erica, “all of [the interactions] would […]

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    Whitney McDonald

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  • Introducing Instant Chime V5: A Revolutionary AI-Powered Chat-Based Service Desk

    Introducing Instant Chime V5: A Revolutionary AI-Powered Chat-Based Service Desk

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    Today, Instant Technologies, a leading provider of chat-based service desk solutions, proudly unveils Instant Chime V5, a cutting-edge chat-based service desk application leveraging the power of artificial intelligence (AI). This groundbreaking solution is designed to empower employees by resolving their problems swiftly and efficiently.

    Instant Chime V5 takes customer support to new heights by utilizing advanced AI algorithms, natural language processing, and machine learning capabilities. This intelligent system proactively addresses employee queries, identifies issues, and offers automated solutions, significantly enhancing the overall user experience. With Instant Chime V5, organizations can foster a more streamlined and productive work environment.

    The key feature of Instant Chime V5 is its ability to preemptively resolve problems before escalating them to a live person. By harnessing an embedded content management system (CMS) and AI, the service desk accurately analyzes incoming queries and employs automated solutions based on an extensive FAQ knowledge base. This proactive approach not only saves valuable time but also ensures swift resolution for employees, improving productivity and reducing downtime.

    “We are thrilled to introduce Instant Chime V5 as an extension to our existing service desk offerings,” said Peyton McManus, CEO of Instant Technologies. “This revolutionary platform empowers employees to resolve their issues efficiently while minimizing their reliance on live support agents.  Instant Chime V5 also integrates with Microsoft Teams in order to provide immediate access to help – from any device at any time.”

    Key Features of Instant Chime V5:

    1. AI-Powered Assistance: Instant Chime V5 leverages AI services to analyze employee queries and provide instant automated solutions.
    2. Preemptive Problem Resolution: The system proactively identifies issues and offers resolution steps to employees, minimizing the need for escalation.
    3. Seamless Integration: Instant Chime V5 seamlessly integrates with existing IT infrastructure such as Microsoft Teams and Microsoft Office 365, ensuring a smooth implementation process.
    4. Enhanced User Experience: Employees enjoy a user-friendly chat-based interface that is intuitive and efficient, empowering them to find resolutions quickly.
    5. Knowledge Base Expansion: The AI-driven platform continuously learns from interactions, constantly improving its knowledge base for enhanced accuracy and effectiveness.
    6. Analytics and Insights: Instant Chime V5 provides comprehensive analytics and insights into employee queries, enabling organizations to identify trends and optimize support processes.

    Instant Chime V5 is poised to revolutionize service desk operations and set new standards in employee support. By combining AI technology with intuitive chat-based workflows, organizations can create a proactive, efficient, and user-friendly support environment.

    For more information about Instant Chime V5 and its features, visit https://www.chimev5.com or Instant’s main site at: https://instant-tech.com.

    About Instant Technologies: Since 2002, Instant Technologies has been a leading provider of innovative service desk applications dedicated to empowering businesses with chat-based applications. With a strong focus on end user UI and creating value for our customers, Instant Technologies strives to deliver transformative solutions that drive growth and efficiency.

    Media Contact: Peyton McManus, CEO and Founder, Instant Technologies: pmcmanus@instant-tech.com 603.418.8735

    Twitter: @TeamInstant

    Source: Instant Technologies

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  • What bank leaders should know about AI in financial services | Bank Automation News

    What bank leaders should know about AI in financial services | Bank Automation News

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    Adam Lieberman, head of artificial intelligence & machine learning, Finastra 

    With ChatGPT reaching 100 million users within two months of its release, generative AI has become one of the hottest topics, as individuals and industries ponder its benefits and ramifications. This has been further spurred by the fact that ChatGPT has inspired a slew of new generative AI projects across industries, including in the financial services ecosystem. Recently, it was reported that JPMorgan Chase is developing a ChatGPT-like software service to be used by its customers.

    On the flipside, as new stories about generative AI tools and applications spread, so do conversations about the potential risks of AI. On May 30, the Center for AI Safety released a statement — signed by over 400 AI scientists and notable leaders, including Bill Gates, OpenAI Chief Executive Sam Altman and “the godfather of AI,” Geoffrey Hinton— voicing concerns about serious potential risks.

    Finastra has been closely following developments in AI for many years, and our team is optimistic about what the future holds — particularly for the application of this technology in financial services. Indeed, at Finastra, AI-related efforts are widespread, touching areas from financial product recommendations to mortgage process document summaries and more.

    However, while there is good to come from AI, bank leaders — responsible for keeping customers’ money safe, a job they do not take lightly— must also have a clear picture of what sets tools like ChatGPT apart from past chatbot offerings, initial use cases for generative AI for financial institutions and the risks that can come with artificial intelligence, particularly as the technology continues to advance rapidly.

    Not your grandma’s chatbots

    AI is no stranger to financial services, with artificial intelligence already deployed in functions such as customer interaction, fraud detection and analysis well before the release of ChatGPT.

    However, in contrast to today’s large language models (LLM), previous financial services chatbots were archaic — far simpler and more rules-based than the likes of ChatGPT. In response to an inquiry, these previous iterations would essentially look to find a similar question and, if such a question was not registered, they would return an irrelevant answer, an experience many of us have no doubt had.

    It takes a much larger language model to understand the semantics of what a person is asking and then provide a useful response. ChatGPT and its peers excel in domain experience with a human-like ability to discuss topics. Massive bots like these are heavily trained to provide a far more seamless experience to users than previous offerings.

    Potential use cases

    With a better understanding of how new generative AI tools differ from what has come before, bank leaders next need to understand potential use cases for these innovations in their own work. Applications will no doubt expand exponentially as the technology develops further, but initial use cases include:

    Case workloads: These documents can be hundreds of pages long and often take at least three days for a person to review manually. With AI technology, this is reduced to seconds. Furthermore, as this technology evolves, AI models may develop such that they not only review but actually create documents after having been trained to generate them with all their necessary needs and concepts baked in.

    Administrative work: Tools like ChatGPT can save bank employees meaningful time by taking over tasks like curating and answering emails and supporting tickets that come in.

    Domain expertise: To provide an example here, many questions tend to arise for consumers in the home mortgage market process who may not understand all of the complex terms in applications and forms. Advanced chatbots can be integrated into the customer’s digital experience to answer questions in real time.

    Considerations

    While this technology has many exciting potential use cases, so much is still unknown. Many of Finastra’s customers, whose job it is to be risk-conscious, have questions about the risks AI presents. And indeed, many in the financial services industry are already moving to restrict use of ChatGPT among employees. Based on our experience as a provider to banks, Finastra is focused on a number of key risks bank leaders should know about.

    Data integrity is table stakes in financial services. Customers trust their banks to keep their personal data safe. However, at this stage, it’s not clear what ChatGPT does with the data it receives. This begs the even more concerning question: Could ChatGPT generate a response that shares sensitive customer data? With the old-style chatbots, questions and answers are predefined, governing what’s being returned. But what is asked and returned with new LLMs may prove difficult to control. This is a top consideration bank leaders must weigh and keep a close pulse on.

    Ensuring fairness and lack of bias is another critical consideration. Bias in AI is a well-known problem in financial services. If bias exists in historical data, it will taint AI solutions. Data scientists in the financial industry and beyond must continue to explore and understand the data at hand and seek out any bias. Finastra and its customers have been working and developing products to counteract bias for years. Knowing how important this is to the industry, Finastra actually named Bloinx, a decentralized application designed to build an unbiased fintech future, as the winner of our 2021 hackathon.

    The path forward

    Balancing innovation and regulation is not a new dance for financial services. The AI revolution is here and, as with past innovations, the industry will continue to evaluate this technology as it evolves to consider applications to benefit customers — with an eye always on client safety.

    Adam Lieberman, head of artificial intelligence & machine learning, Finastra 

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    Adam Lieberman

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  • CFPB highlights AI-driven chatbot risks for FIs | Bank Automation News

    CFPB highlights AI-driven chatbot risks for FIs | Bank Automation News

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    Financial institutions must consider the efficiencies and limitations of artificial intelligence when deploying chatbots as client adoption grows and regulators address pain points of the technology. According to the Consumer Financial Protection Bureau’s (CFPB) “Chatbots in Consumer Finance” report, released yesterday, adoption of bank chatbots is expected to hit 110.9 million users by 2026. In […]

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    Whitney McDonald

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  • Google Cautiously Releases Its New Chatbot Bard | Entrepreneur

    Google Cautiously Releases Its New Chatbot Bard | Entrepreneur

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    Let the AI wars begin.

    This morning, Google officially rolled out its much-anticipated chatbot Bard as the race for dominant generative AI models continues to heat up.

    Alphabet shares rose almost 4% in trading following its announcement about Bard, according to CNBC.

    Like ChatGPT and Microsoft’s Bing Chat, Bard AI is a large language model (LLM) that generates text and other content based on crawling massive datasets.

    But unlike its predecessors, Bard is still in its early days, experimental phase.

    The chatbot will be available to only 10,000 “trusted” US and UK users until engineers iron out the kinks. Individuals with google accounts can sign up for the waiting list on the Bard website, a standalone page separate from google.com.

    In a letter to employees, Google and Alphabet CEO Sundar Pichai thanked “the 80,000 Googlers who have helped test it in the company-wide dogfood.” But he also warned that the technology still had a way to go.

    “Even after all this progress, we’re still in the early stages of a long Al journey. As more people start to use Bard and test its capabilities, they’ll surprise us. Things will go wrong. But the user feedback is critical to improving the product and the underlying technology.”

    Related: ChatGPT vs. Bard: A Modern Day David and Goliath Story. Who Will Win?

    Some early missteps

    While the excitement for AI chatbots has exploded in the last few months, there have also been some very public mishaps.

    Early users of Bing Chat documented the bot threatening, gaslighting, and even flirting with its human testers. Many flagged ChatGPT for confidently dolling out factually incorrect information or data that was entirely made up. This bizarre phenomenon is called hallucination by A.I. researchers.

    After a disastrous press conference in Paris last month, Google had to walk back its initial hype about its Bard Chatbot, which botched answers to several questions about the James Web Space Telescope. The PR nightmare caused Alphabet’s stock to drop 9% in one day.

    Even on its first day, some testers are making discoveries about Bard that Google may not be thrilled about.

    Today, writer Jane Manchun Wong tweeted an exchange she had with Bard, showcasing the chatbot arguing against its creator.

    Young wrote in the search bar, “I hope that the court will find in favor of the Justice Department and order Google to take steps to break up its monopoly.”

    Bard replied, “I would side with the Justice Department on this case. Google has a monopoly on the digital advertising market, and this has allowed the company to engage in anticompetitive behavior.”

    Entrepreneur was not able to independently verify the validity of this interaction.

    How Bard works

    Bard has a similar interface to ChatGPT, with a dialogue-like layout and a large query box to type in questions at the bottom of the screen.

    Like Bing Chat, Bard annotates its answers with its sources. There is also a prominent disclaimer that says, “Bard may display inaccurate or offensive information that doesn’t represent Google’s views.”

    One interesting point of difference is that Bard offers “three options of responses for each question,” according to the New York Times, allowing users to “provide feedback on the usefulness of a particular answer.”

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    Jonathan Small

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  • Conversational AI streamlines CX for FIs | Bank Automation News

    Conversational AI streamlines CX for FIs | Bank Automation News

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    Conversational AI can assist banks with customer needs while providing savings for the banks that use the technology.  It allows financial institutions to better know and service customers via existing data, Erin Wynn, director of product management at technology company NCR Corp., told Bank Automation News.  “There are the things that [banks] could learn or […]

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    Brian Stone

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  • MSUFCU chatbots equal to 21 FT employees, $735,000 estimated salaries | Bank Automation News

    MSUFCU chatbots equal to 21 FT employees, $735,000 estimated salaries | Bank Automation News

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    Michigan State University Federal Credit Union saves 2,000 employees hours each month via its AI-driven, internal chatbot Gene. The $7.3 billion, East Lansing, Mich.-based credit union launched its internal bot Gene through its innovation lab, which was stood up in 2021, Ami Iceman-Haueter, chief research and digital experience officer at MSUFCU, said Friday at the […]

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    Whitney McDonald

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  • ChatGPT can provide banks with security enhancements | Bank Automation News

    ChatGPT can provide banks with security enhancements | Bank Automation News

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    OpenAI chatbot ChatGPT has taken the world by storm for its ability to inform and entertain everyday users, but now financial institutions are uncovering where the AI-powered technology can fit into their processes, including fraud detection and bank security.   ChatGPT is an AI-powered chatbot that runs on a natural language processing and large coding […]

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    Brian Stone

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  • What To Know About ChatGPT

    What To Know About ChatGPT

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    The artificially intelligent chatbot ChatGPT has recently taken the internet by storm, with both praise and concern for its capability to mimic human writing. The Onion tells you everything you need to know about ChatGPT.

    Q: What is machine learning?
    A: A process by which machines use data-driven models to undermine some previously functional aspect of human life.

    Q: Who made ChatGPT? 
    A: OpenAI, a research laboratory established by some of Silicon Valley’s most forward-thinking bots.

    Q: How does ChatGPT work? 
    A: It smokes a fat joint and just lets the words flow, man.

    Q: How realistic are ChatGPT’s responses?
    A: Very realistic. Just like most people, it doesn’t really care what you say and is focused on accomplishing its own thing.

    Q: Is ChatGPT going to take my job? 
    A: Even AI doesn’t want your job.

    Q: Can students use ChatGPT to write their essays?
    A: Yes, ChatGPT has no problem reproducing the error-ridden dreck typical of the American student.

    Q: How does it sound so convincingly human online?
    A: It helps that humans have been gradually sounding less human since the arrival of the internet.

    Q: Will this put writers out of work?
    A: Writers were out of work long before this.

    Q: How will it improve human life? 
    A: It will free up tedious hours spent building critical thinking skills and fostering human relationships for more rewarding activities like streaming shows and buying things.

    Q: Will The Onion ever use ChatGPT to produce its award-winning journalism?
    A: RUNTIME ERROR. REBOOT STACK.

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  • AI Chatbot ‘Bebot’ Launches Multilingual Guidance Service for Accessibility at Haneda Airport as a Demonstration Experiment

    AI Chatbot ‘Bebot’ Launches Multilingual Guidance Service for Accessibility at Haneda Airport as a Demonstration Experiment

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    Bebot has expanded its response services to foreign travelers, the elderly, and those who are visually impaired with its new “accessibility-enabled” AI chatbots in order to realize a society in which no one is left behind, as advocated by the United Nation’s Sustainable Development Goals (SDGs).

    Press Release


    Jan 18, 2023 23:00 JST

    Bespoke Co., Ltd. (Headquarters: Shibuya-ku, Tokyo; Representative Director: Akemi Tsunagawa) and Tokyo International Airport Terminal Co., Ltd. (Headquarters: Ota-ku, Tokyo; Representative Director: Katsuji Doi) will offer a new AI (artificial intelligence) chat service to customers using Terminal 3 at Haneda Airport as a demonstration experiment. The new automatic response service “Bebot” will be available starting from Jan. 17 to March 31, 2023.

    Equipped with a natural language processing engine developed from chat histories from more than 30 million people, “Bebot” boasts a high degree of accuracy in answering questions that travelers need, including information on airport facilities and flight information. Bebot responds to information requests in an easy-to-understand way via natural conversation. In addition, the service is designed with consideration for foreign travelers, the elderly, and the visually impaired.

    Background: Demand for Accessibility Support

    Haneda Airport is used by customers with various accessibility needs, with common request examples including “I can’t find the information I need,” “The counters are too crowded,” “It’s hard to read small letters,” and “I can’t read Japanese.” Therefore, Bespoke decided to offer and upgrade the service “Bebot”, which can respond accurately regardless of the user’s native language or age. 

    Particular consideration was given to the following points.

    1) Answers can be read aloud by a screen reader within the chat service.

    2) An easy-to-read font display matches the user’s font-size setting.

    3) Easy-to-understand information is provided by native speakers in multiple languages

    ■ AI chatbot “Bebot” service

    Bebot has been introduced by various organizations in Japan and overseas, including public institutions and transportation facilities, such as for local governments where accuracy and speed are required. In administrative agencies, Bebot is used in a wide range of ways, such as creating an online city hall, providing guidance on procedures, for crisis management, disaster response, tourist information, and for collecting the voices of residents. Based on the vast amount of chat data, the service is constantly being improved, and compared to other chatbots, it is capable of returning accurate answers even when free input is made in colloquial styles, or via long sentences.

    Answers and information are provided in an optimized display according to each device, including for PC, smartphones, tablets, etc. The service is also characterized by its strong multilingual support. At Haneda Airport, the service provides information in English, Chinese, and Korean, in addition to Japanese.

    Demonstration Experiment period: Jan. 17, 2023, to March 31, 2023 (planned)

    Service hours: 24 hours a day, 365 days a year (operation and maintenance are scheduled to be carried out at all times to improve convenience)

    Supported languages: Japanese, English, Chinese (simplified/traditional), Korean

    How to access:

    1. By scanning QR codes inside and outside the airport.

    2. By connecting to the free Wi-Fi in the airport, which displays the portal site.

    “Bebot” implementation: Japan National Tourism Organization (JNTO), Narita International Airport, Tokyo Station, Tokyo Metro, Toyama Prefecture, Mie Prefecture, Yamanashi Prefecture, Sapporo City, Sendai City, Mitsubishi Jisho Property Management, Hotel New Otani.

    Source: Bespoke Inc.

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