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Artificial Intelligence (AI) is transforming the medical device industry, from manufacturing and quality assurance to field service and maintenance. With devices becoming more advanced, interconnected, and regulated, medical device companies are turning to AI to streamline operations, enhance service reliability, and ensure faster, safer outcomes for healthcare providers and patients alike. Traditionally, servicing medical devices has required extensive manual effort, relying on static databases, paper-based procedures, and tribal knowledge held by experienced field engineers. However, as medical technology grows more complex, these traditional systems can no longer keep pace with the need for speed, accuracy, and compliance. That’s where AI-driven knowledge systems  are creating real impact. How AI Is Transforming Field Service and Support in Medical Devices 1. Faster Troubleshooting with AI-Powered Knowledge Search Field engineers no longer need to sift through endless manuals or remember exact keywords. With natural language-based AI systems , they can ask questions conversationally and receive precise, context-aware guidance within seconds. This reduces downtime and ensures faster restoration of critical medical devices. 2. Accelerating Training and Onboarding for Field Engineers Medical device companies often manage large, distributed service teams across regions. AI enables on-the-job learning  by delivering real-time insights, procedural steps, and safety instructions to new engineers. This shortens onboarding time and ensures consistency in service quality. 3. Enhancing Compliance in Regulated Environments In the medical device ecosystem, every procedure must follow strict regulatory standards. AI can automatically generate, monitor, and version-control  operational documents such as Standard Operating Procedures (SOPs) , Maintenance Operating Procedures (MOPs) , and Job Safety Analyses (JSAs) , ensuring they’re always aligned with the latest compliance updates. 4. Reducing Repeat Visits and Operational Costs AI-driven predictive insights can help technicians identify the root cause of failures early and recommend the optimal parts and procedures needed for a first-time fix . This reduces repeat visits, saves operational costs, and boosts customer satisfaction. 5. Empowering Remote and Field Collaboration With AI automating documentation and surfacing real-time insights, remote experts  can now focus on complex cases rather than repetitive troubleshooting. This scalable model allows medical device companies to serve more facilities without expanding their workforce proportionally. 6. Continuous Learning from Service Data AI systems can learn from service records, product updates, and field data to continuously refine recommendations. This ensures that the knowledge base is always current, relevant, and aligned with the latest product bulletins or regulatory changes. Why AI Knowledge Management Is Critical for Medical Device Companies The medical device service ecosystem runs on precision and trust. Each device, whether diagnostic or therapeutic, plays a vital role in patient outcomes. A single error or delay in service can have far-reaching implications. AI empowers medical device companies to: Create connected, intelligent service ecosystems . Deliver faster, compliant, and data-driven maintenance operations . Reduce knowledge gaps between experienced and new technicians . Maintain regulatory traceability  across every action and document. By embedding AI into service and operations, organizations can not only improve efficiency but also safeguard their reputation in a highly regulated, life-critical environment. Ascendo AI participated in AAMI Exchange 2025 , engaging with HTM leaders on a crucial industry shift, how medical device service teams can scale expertise and efficiency through AI without increasing headcount . Introducing Ascendo AI: Powering Knowledge for the Medical Device Industry At the forefront of this transformation is Ascendo AI , an AI-native platform  built to empower field service and operations teams in highly regulated sectors like healthcare and medical devices. Ascendo AI enables service organizations to: Use natural language search  to find solutions instantly. Auto-generate  knowledge documents and procedures. Continuously learn from real-time service data, bulletins, and customer interactions. Maintain accuracy, control, and compliance  across the service lifecycle. Meet Ascendo AI at MD Expo Dallas Ascendo AI is exhibiting at MD Expo Dallas , showcasing how Knowledge AI Agents  are redefining service operations for medical device companies. These intelligent agents can automatically create and update: Maintenance Operating Procedures (MOP) Standard Operating Procedures (SOP) Job Safety Analyses (JSA) Meeting Minutes Quarterly Business Reviews (QBRs) with customers Job Descriptions Field Service Bulletins …and many more operational assets that keep field and remote teams aligned. Visitors at MD Expo Dallas  can experience how Ascendo AI’s platform helps medical device companies reduce downtime, ensure compliance, and empower service teams  through AI-driven knowledge automation. The Future of Medical Device Service Is AI-Driven For medical device leaders seeking to enhance operational performance, AI offers a pathway to: Higher first-time-fix rates. Streamlined compliance management. Continuous learning and improvement across service teams. Reduced costs and downtime for critical devices. Ascendo AI is helping medical device companies achieve all of this, with solutions that combine AI intelligence, human oversight, and regulatory compliance  at every level. Ready to See It in Action? If you’re attending MD Expo Dallas , visit Ascendo AI at booth #6   to experience the next generation of AI-driven service operations for medical device companies. Together, we’re building a future where knowledge is automated, compliance is assured, and service excellence becomes the standard. We’d love to set aside some time to connect if you’re available - Calendar

Chatbot vs AI Bot Businesses today aim to offer better customer experiences while lowering service costs, and they increasingly realize that automated self-services like chatbot software may help them achieve these ends. By enabling users to find answers on their own and directing them to efficient solutions, chatbot software tackles the high volume of repetitive questions and reduces backlog. As a result of this, support staff can devote their time to resolving complex problems rather than answering simple questions. Since its inception in 1950, chatbot technology has evolved massively. At present, unfortunately, Chatbots and AI bots are often considered to be the same thing, leading to confusion and disappointment. Despite both being automated self-services, there are some glaring differences because of which technology is better than the other. What is a Chatbot? Computer programs or devices that can "chat" with you are called chatbots. Text messaging via a chat interface or a messaging app is the most typical way to communicate with chatbots. They converse by following predetermined guidelines (if the customer says "A," answer with "B"). Sometimes the interactions are structured as a decision-tree workflow where users can choose the appropriate responses based on their use case. These bots resemble automated phone menus in which the user must select a number of options before finding the desired information. This technology is perfect for resolving common customer complaints and FAQs. What is an AI Bot? Essentially, an AI bot is a higher-level idea of chatbots. AI bots are frequently embedded in web pages or other digital applications to respond to consumer enquiries without the need for support agents, thereby offering economical, hassle-free customer service. In order to provide a more personalized customer experience, an AI bot combines artificial intelligence (AI) technology with other technologies. Let us understand the key technologies used in AI bots. NLP or "natural language processing" enables a computer to comprehend what we say using our natural language. That is, using slang, acronyms, and other speech patterns that are typical of us. For instance, an AI bot may understand you even if you don't use precise grammar. Machine learning or ML implies that the computer can gain knowledge from interacting with humans. Therefore, it enables the AI bot to learn from its interactions and produce future conversations that will be more insightful and effective. Chatbot vs AI Bot According to Zendesk user data, customer service teams dealing with 20,000 support requests per month can save more than 240 hours in a month by using chatbot software. The key differences between Chatbot vs AI bot as listed below will delineate which is the better software to opt for. Operating Channel(s) In a constantly changing digital landscape, with more social and messaging apps, providing customer service across platforms and being where your customers interact with your brand is critical. Unlike chatbots, AI bots only need to be built once. After that, they can be deployed to multiple channels, with information from each channel streaming to a central analytics hub. Sadly, chatbots require rules, process definition and training to use them in different channels. Flexibility An AI bot with complete access to a database and API has the contextual flexibility necessary to engage in fluid conversations with users. For instance, if a user changes their mind in the middle of a chat, a conversational AI interface will automatically begin catering to the new needs of the user. But, a chatbot is constrained by the script and rules it has been given previously, and it is unable to produce any output that has not been manually added to its flow. Understanding An AI bot uses various technologies to parse and interpret inputs rather than depending on a pre-written script. Chatbots, in comparison, may appear to understand words and sentences while actually only adhering to a strict set of rules. While chatbots focus only on keywords when dealing with customer queries, AI bots can comprehend the context of queries and the intent of users. Maintenance An AI bot draws data from a variety of places, including websites, text corpora, databases, and APIs. It also immediately incorporates any revisions or updates made to these sources. Chatbots, in contrast, need ongoing, expensive manual maintenance to keep their conversational flow productive and efficient. Customer Experience AI bot is distinguished from traditional chatbot by its ability to have natural, human-like conversations. As a result of this, an AI bot is a great choice as a self-service option for customer support. Furthermore, as opposed to chatbot, AI bot can understand complex problems and provide more precise responses. Its user-friendly nature will reduce customer frustration and lead to better customer experiences. Transform Customer Support with AI Bot If you've read up to this point, it must be clear that AI bot is a human-like, cost-efficient, and automated self-service technology that can deliver seamless customer experience across many channels. AI bot's features overcome the shortcomings of a traditional chatbot. Ascendo offers an intelligent, conversational AI bot that can cater to your support needs, irrespective of the industry. You can integrate AIbot in conversational support channels like Slack, Teams and WhatsApp. Ascendo AIBot searches upon knowledge from multiple data sources to provide solutions to customers quickly. AI bot's interactions with customers are saved and analyzed to understand the patterns of customer concerns over time. In the rare case where the AI bot is unable to solve the customer issue, there is a smooth handover to a live agent who can view the customer's question and the solutions provided by the AI bot. This way, customers don't have to repeat themselves when passed on to an agent. To contact Ascendo, click here.

In recent years, conversations around AI have shifted from hype to tangible impact. While much of the world remains curious about AI's true potential, those at the forefront of enterprise operations know a different reality: AI isn't coming; it's already here, quietly transforming the way technical support and service teams operate. So, what exactly is Agentic AI, and why are industry leaders calling it the next big leap for enterprise support?  The Rise of Agentic AI   Traditional AI in the enterprise often takes the form of decision trees, static chatbots, or data-driven dashboards. While useful, these tools are often reactive, requiring human input to direct the next step. Agentic AI shifts the paradigm. These are autonomous, goal-driven AI agents designed to act alongside humans to achieve outcomes. Let’s take the example of an AI agent that helps answer queries. They don’t just stop at answer queries; they identify problems, gather context, recommend or even initiate solutions, create new knowledge, help triage and troubleshoot, share learning through AI Explainability and learn from each interaction.  In essence, Agentic AI represents a shift from AI as a tool to AI as a teammate.  Why This Matters for Enterprise Service   Enterprise Service teams face escalating complexity, diverse customer issues, fragmented data, high ticket volumes, and increasing pressure to deliver seamless experiences. While legacy automation helps to a point, it lacks adaptability, nuance, and intelligence at scale.  This is where Agentic AI thrives:   Predictive Intelligence : Anticipates failures and service needs before they escalate.  Autonomous Troubleshooting: Executes deep root cause analysis and proposes resolutions.  Contextual Awareness: Pulls data from multiple systems to inform decisions in real time.  Scalability: Learns from every interaction to improve efficiency across thousands of tickets.  Clean data: Integrate expert data pipelines and privacy filters to eliminate the need for data   lake or clean any data and knowledge bases  And perhaps most importantly: it empowers human agents rather than replacing them.  Ascendo AI: Leading the Charge   At the heart of this evolution is Ascendo AI, an AI-native platform engineered for modern service and support teams. Ascendo AI is not just another tech solution bolted onto existing infrastructure; it redefines the architecture of enterprise support and service.  Here’s how:   AI Agents Built for Real-World Complexity   Unlike simple chatbots or rule-based automation, Ascendo AI agents operate with a deep understanding of technical environments. They assist with:  Triage and classification  Root cause analysis  Dynamic knowledge creation, repurpose and surface to suit the root cause analysis  Continuous learning based on UI usage and feedback loops  Human-AI Collaboration at Scale   Ascendo AI believes in the AI + Human model . Their platform is designed to support agents, not sideline them. AI teammates work in tandem with human agents to :   Reduce Mean Time to Resolution (MTTR)  Surface the most relevant fixes or documentation  Provide next-best-action guidance  Help triage and troubleshoot  Reduces Onboarding and continuous training time  Eliminates Escalations  Provides product and quality feedback  Improves knowledge and documentation  Builds trust with AI explainability and auditability  Suitable for Regulated and non-regulated industries  Can work with other agents to fully automate workflows Plug-and-Play Integration Across Enterprise Stacks   From CRMs like ServiceNow to Salesforce to Jira, Field Service like Servicemax, SAP, Knowledge bases like pdf, sharepoint, excel, schematic diagrams, flowcharts, complex tables, etc. Ascendo AI integrates seamlessly, making it easier to embed AI without restructuring existing workflows or creating any new knowleddge.   Data-Driven Outcomes, Not Just Automation   Ascendo AI’s platform is built to drive real business outcomes:  500% service efficiency  Proactive resolution models that has the highest accuracy of 1.52  Higher CSAT  Lower operational costs  Increase in consistency, safety, efficiency and productivity  Increase in product and service quality  Increased revenue (where applicable)  Reduced labor and material costs  Optimized service supply chain  And....many more!  The Tipping Point   The days of siloed knowledge bases, manual ticket reviews, and long support escalations are numbered. Agentic AI is ushering in a new era of autonomous, intelligent, and collaborative support that evolves with your enterprise.  Ascendo AI is not only embracing this future; but also building it.  If you're in enterprise support and still relying on outdated methods, it might be time to ask: Are you ready to hire your first AI teammate?  Contact us  to learn how we can turn complexity into clarity.  Learn more : How  Nokia and Ascendo AI Are Transforming Field Service with Intelligent Automation Empowering Women in Healthcare Technology: Insights from WIL Leaders

Agnes Sanjana John Gokulakrishnan Venkat Front End Engineer "Mr. UI Perfect" Hemapriya Customer Success Specialist "Supportive 24/7" John Peter Data Scientist "Pioneering and Decisive" Karpagam Narayanan Co-Founder "Self-Made Woman" Agnes Sanjana John Human Resource Representative "For People Always" Anandha Kannan Software Engineer "Young and Sensible" Anurag Data Scientist "Self-Driven" Arun Technical Support Engineer "Resilient Achiever" The team that makes it happen. Our team is comprised of extremely talented designers, developers, managers, marketers, quality analysts, and writers. Below is a list of the folks we have leading the Ascendo Crew. Hey, we're Ascendo and our work's no joke. We help businesses like yours earn more customers and recruit top talent with their websites. Hemapriya Our culture mainly fosters growth mindset, collaboration, and a strong sense of purpose. All of these has greatly contributed to my personal and professional growth. Agnes Sanjana John You are provided a great opportunity to work along with the cofounders and thinking out of the box is constantly encouraged. Anandha Kannan It's been a remarkable journey so far and I look forward to continued success with this incredible organization. Khalisaran Kannan Head of Engineering "Empowered Catalyst" Naveen Srinivasa Data Scientist "Transforming Insights" Nikhil Xavier John Software Engineer "Back-End Wizardry" Prajeeth Muthukumaran Software Engineer "Front-End Visualiser" Roshan Sasikumar Product Designer "Design Strategist" Surbhi Gajendar Singh Head of Design "Brand Custodian" Vrinda Mathur Data Scientist "Our Great Find" Ramesh Kumar Sahu Sales Development Representative and Presales Consultant "Our Best Closer" Ramki PitchuIyer Co-Founder "Jack Of All Trades" Randy Chinn Chief Revenue Officer "Revenue Innovation in Action" Rohit Krishnamoorthy Lead Engineer "Visionary Reader" The team success meet was a gathering of exceptional individuals united by a common purpose. Through collaborative efforts, effective communication, and unwavering commitment, they achieved remarkable results. The meet fostered a sense of unity, sparked innovation, and left a lasting impression on each participant. It was a testament to the power of teamwork and a catalyst for future triumphs. Remember, success is not solely defined by individual accomplishments but by the collective efforts and collaboration of a team. Memorable wins, every time . < > “Success is not just about making money. It’s about making a difference together.” Team Dinner “Talent wins games, but teamwork and intelligence win championships” - Michael Jordan Team Vacation Team Meeting "The strength of a team is each individual member. The strength of each member is the team." - Phil Jackson

Learn how Noelle Jones-Ramzy advanced in tech leadership using entrepreneurial thinking, critical skills, and AI-driven support strategies—success without a degree --- Transcription Full Interview Transcript — Leadership, Growth & Success Without a Degree (Noelle Jones Ranzy) Welcome to the experience dialogue. In these interactions, we pick a hot topic that doesn't really have a straightforward answer. We then bring in speakers who've been there, seen this, but have approached this in very different ways. This is a space for healthy disagreements and discussions, but in a very respectful way. Just by the nature of how we have conceived this, you will see passionate voices of opinions, having a dialogue, and thereby even interrupting each other or finishing each other's sentences. At the end of the dialogue, I just want to make sure our audience leave with valuable insights and approaches that you can take it to your workplace. And of course, continue the discourse in social media channels. What I wanted to have is there is so many other events and stuff that we will be having, and we will be actually putting that down in the comments section so that you can be engaged in. And welcome to our guest, Noelle. Noelle, thank you so much for being here. Thank you for having me. Noelle, a brief introduction of yourself would be awesome, both from a professional standpoint and a personal standpoint. Well, my name is Noelle Jones-Ramsey, and I am currently living in the East Bay Area by way of Arizona. I spent 20 years in Arizona. Before that, I spent 20 years in Utah. I like the sunshine. So the relationship brought me to California, which I love very much. And I have been in the corporate leadership space for probably 20 years now. I guess it's 2025, so about 20 years. And I am so excited to be able to just meet people like yourself that have the experience and the connections and the insights of the industry that I'm a part of and actually aspire to have the curiosity and aspire to be a part of. So I'm really looking forward to our discussion today. Yeah. Noelle, what's your job role right now? I currently work for a SaaS company as a director of customer support. Excellent. So you're always talking to customers. And I noticed that you pulled in, you know, in one of the previous interviews, you talked about hiring people and what kind of leader you want to be. And you mentioned, you know, you would like to just take the ball, hire people who like to take the ball and just run with it and come up with an entrepreneurial spirit, right? So what does it mean by entrepreneurial? You know, there are so many different backgrounds and levels of experience that I get to talk to when I'm hiring for a role, specifically leadership roles, just because of the position that I'm in. And I really look for people who talk about, you know, I like to ask things about ambiguity and how, how you, how scrappy are you when you don't have the resources or the support that you need to be successful? And when I hear things like, well, I just go to my leader and I tell them that I need help, which is fine. That's what your leader is for. But also how creative are you in those roles? What, what in your entrepreneurial mind comes up to say, if this was my business, this is how I would solve this problem. And those are really things that I, that I look for. I never stayed in my lane, which is why I think I've gotten to the role that I've gotten. And I love it when people just say, hey, I have an idea and it's, it's, it's somewhere completely different from support. Do you mind if I float this by, by you? And I get so excited about people like that. Yeah. And in a way, support itself is such a very creative role because you are never going to face the same situation because of the human element you are dealing with. So every time you're trying to be creative to address different things for the different personalities, even if it is the same kind of technical issue. So I totally get that. And what you're also talking about is that creative thinking that people have to have and critical thinking, I should say, critical thinking that people have to have. So I love that. And another thing that was very interesting for you to have as a guest here is normally in the Bay Area, especially I see people constantly, the Stanford, Google crowd, et cetera. But here you are, you have actually been a very successful executive after getting a GED. And right now you have enrolled in college and you are making honor rolls while you are preparing to weddings. Yeah. So tell us a little bit more about, you know, how did you get here with the GED and then now your journey? I think it's two different questions, but yeah. Yeah. You know, thank you for the acknowledgement and the reminder that I should be going gray and a little nervous right now. You know, I got my GED in 2016 and I was already in a leadership role. I was a manager, a site manager for a contact center. And I wanted to go to Grainger, which is a Fortune 500 company, been around for almost a hundred years. And they have this great reputation and they headhunted me. But I needed some kind of, you know, at least a high school diploma. So as an adult, I was like, oh man, I haven't been in school for so long. And I did, I just, I went, I studied, I got my GED within 30 days and I got hired on at Grainger. And that's when I really thought, you know, I, if people are seeking me out, I could probably go really, really far in my career if I actually had, you know, classical education. But I kept being promoted and I remained successful. And I thought, I don't even, I don't need a degree. And I had these amazing mentors along the way in different places, the VPs and SVPs and one CEO that has amazing TED talk that I watch probably once a month on YouTube. And I remember them saying, you really don't need that degree, but I'll be 50 this year. And it's something, thank you. I appreciate that. It's something that I said to myself, you know what, this is just something that I want to do for me. I've made it to my direct role. You know, hopefully the next stop is, is senior director and VP, and maybe the sky's the limit. But I would feel more accomplished and I would feel better if I got a degree. And my intention is to go all the way, hey, I would love to have a PhD, even if I'm 60 by the time I get it. But in April of 2026, I will have my bachelor's in industrial organizational psychology. So I'm pretty excited about that. Yay, that's wonderful. So just so you know, I have a very good friend. I hope she's watching this, vice president of a very large tech company. She quit her job and went to do pre-med credentials when she was 56. So and then she wants to do medicine. And she has been like me in the tech career for over 30 years. So, you know, anything is possible. It's just a number. So when you're proving that, so that's really awesome. It's a little tough question, but one of the things that you mentioned in terms of your career and differences across the various industries that you have played in, you mentioned that tech has its nuances, right? And because you're here, you are as a person who says, I don't have to be the best person in the room and always bring in the tech person who can talk about tech while you are taking care of that executive presence. But tech always prefers people showing that expertise, number one. Number two, tech also prefers one being technical. So the question is, what did you mean by nuances? That's one. Second is, are you, you know, is that insecurity? Is that imposter syndrome? What is it that makes you think that you're not technical enough? Reality. So I'll say this. I have had, I have felt as a woman of color specifically, you know, living in primarily very conservative states, Utah and Arizona, navigating the corporate world, which is predominantly run by, you know, white men, right? So I have had to become very savvy and have a quiet confidence about myself. Now, obviously, I'm not your conventional suit. You know, you see that I have tattoos and I'm very, very authentically myself when I show up in these spaces. So I have had to learn whether the industry, you know, I've been in water, supply chain, healthcare, whatever industry it is, I have to build relationships. And that is what, that is my superpower. And that's what makes me a good leader is my ability to build relationships. Therefore, I have mentors. I have people that take an interest in me because they decide what they're, there's, there's something there. And I've been fortunate enough to have those people around me to say, I'm going to give you this opportunity. In tech, they do ask you to have, you know, SQL, Agile, you know, have this certificate, have that certificate. And I just wandered my happy self into tech and just thought, I'm just going to show you guys how to do this stuff. And I have, you know, my technical ability is have you turn it off and turn it back on again, right? And that's why, you know, like you mentioned, I had mentioned before, I hire, I don't want to be the smartest person in the room. I do hire people. So while I have battled with imposter syndrome in the past, the fact is I just do not feel that I am technically enough. I'm just technically enough to be dangerous or to carry on a conversation or to be customer facing and inspire confidence and, you know, create that space for, hey, you tell me what you need, tell me what you want, and I'll be able to make it happen for you. But I'm not going to do it. So the way I've navigated the tech space is just by being a very, very strong leader. And I can lead, you know, I've led individual contributors. I now have been a leader of leaders for the past 10 years. And if I can inspire them to do things that I need them to do and hire appropriately, I remain successful. And that's how I've been able to grow in my career. Yeah, so one of the first advices that I got as a manager, this was in the early 2000s, is find somebody else who can do your job better. So you will always find something better to do. That is the best advice that I've gotten. So what you're saying totally resonates with me. But I'm still wondering, how did you navigate that tech career? And is there any advice that you would give for others? When there's so much expectation on tech? Yeah, so I remain curious, as curious as I possibly can be. I dig into cases. I do a lot of, you know, observations. I look at the workflows. I want to see what my people are doing so that I can better understand. And that's what gains me a little credibility, right? So as a leader, if you're a strong leader, you can go into any space. But you might have that respect. But do you have the credibility of, well, does she really know what she's talking about? So coming in green into a tech space, first, my focus was the people. And then once I jumped in with both feet, it really was, let me just tag along. Let me just shadow. Let me just ask questions. And I went to sales. And I went to engineers. And I went to all of my account managers and my customer success teams. And I just observed. And it's a really kind of crude or rudimentary way to be introduced to the tech space. But that is really what gave me a leg up. And right now, our company is providing certifications. And I'm raising my hand. Put me in coach. Because I think with kind of the hands-on and the observation and now the technical testing and assessment piece, I think I'll be in a much better state. You should actually write a blog. I would love to see you write a blog about, here are the things that I learned when I moved to the tech industry. And the lingos and the acronyms and everything that we try and that no other industry thrives in. So yeah. The last question. There are so many mentors who came for you when you talked about them and how they kind of came in at the right step during your career and enable you to rise up or learn or be your sponsor or whatever, right? So what would you do back for the community to be a mentor? Oh, you know, it's something that I do now. Previous Next

Learn how Infinera improved customer support efficiency with Ascendo AI, adopting proactive strategies to resolve issues and enhance customer experience. You are also interested in our suggestions below How to unlock the value from every customer interaction with ai This webinar focuses on how AI-powered insights from the entire customer journey can help you be the voice of the customer. You will find that these insights provide proactive rather than reactive support. Watch now Role of support to increase customer engagement and mitigate churn This webinar will share best practices gathered from our research that support teams can use to establish communication and avoid customer churn. Watch now How to make proactive support happen? - Infinera customer support success story with Ascendo.AI Leading customer support organizations are are constantly looking for ways to improve their efficiency and adopt a more proactive to resolving customer issues and improving the customer experience Watch now Become an expert in every interaction with Ascendo and slack Slack is emerging as a key collaboration tool, internally and with customers. Learn how to use everyday interactions, to automate creating knowledge, and spreading knowledge to help colleagues and serve customers efficiently. Watch now Watch: Infinera Customer Support Success Story – How to Make Proactive Support Happen – Webinar Video Leading customer support organizations are constantly looking for ways to improve their efficiency and adopt a more proactive to resolving customer issues and improving the customer experience Please fill the form in below link to watch the webinar video click here Previous Item Next Item how-to-make-proactive-support-happen-infinera-customer-support-success-story-with-ascendo-ai