Talkr’s Post

2023 = AI 2024 = ? I have a sneaky feeling that 2024 will be about humanizing CX through AI, or something similar. People will realize that as much as AI is (and will carry on) disrupting customer service, you cannot get the best customer experience solely by relying on generative and conversational AI. Humanizing AI into customer service is where its at. Cool, your tech can fully automate customer service - but how does it make our people more efficient and supercharge them to handle any customer query, first time, empathetically, in the shortest time while still providing a superb customer experience? Any other thoughts on 2024 trends? 😉 #cx #ai #collections #southafrica #offshoring #outsourcing #cxtech

The way AI is revolutionising industries never ceases to amaze me. Its potential as a problem solver and solution generator for businesses is truly fascinating and that is what motivated us to build AI powered chatbot as a solution, Let's delve into one of our latest Products : our AI-powered chatbot. 🤖   Our chatbot revolutionises user interaction by delivering a seamless, human-like experience across departments such as sales, accounts, and operations. With its AI training, our chatbot efficiently resolves real-time queries, empowering users with instant solutions.   Moreover, our chatbot using the Private LLM (Large Language Module) strategy unlocks the potential of decades' worth of data for legacy companies. By consolidating years of valuable insights, our chatbot enhances internal processes, reduces training costs, and facilitates informed decision-making. It's a customisable solution tailored for industries like e-commerce ,logistics, travel tech, insure-tech, health-tech, prop-tech, auto industry and many more.   For instance, imagine a company like Toyota, boasting 87 years of rich data. By leveraging our Private LLM chatbot, Toyota can harness this wealth of information to streamline operations, empower employees, and drive strategic growth initiatives 🚀   One key advantage of our Private LLM (Large Language Module) chatbot is its ability of provide personalised and efficient support to all stakeholders.    💡Adopting AI is the need of an hour, do it before it's too late. Stay tuned as I share more about our AI products and use cases, like demand forecasts, recommendation engines, address validators/optimisers and applying AI in every business use cases.   #AI #Chatbot #Innovation #DigitalTransformation #Appoctet

What executive leaders told me in ✨2023✨ about why they don’t use #AI in their #CX strategies: 1. I have no use for AI. My customers don’t want to talk to robots. 2. I have no ROI model for adopting AI solutions vs adding new headcount. 3. I have no assurance that my data will be secure. IT & Legal will never sign off on it. What executive leaders told me in ✨2024✨ about why they don’t use AI in their CX strategies: 1. I can’t trust my AI to always give the right answer. 2. I can’t write knowledge base articles that are optimized for AI. 3. I can’t get the right information to surface when my customers type in what should be the correct prompt. Free advice to any company hawking us their AI-based CX wares:  Your marketing is on fire 🔥 Your products, however… Looks like your products need to catch up to the moment ✌️

The Pragmatic Pivot: Generative AI Goes Enterprise 🏢 While generative AI like ChatGPT sparked global excitement, a more grounded approach is emerging in the business world. 📊 As this Wired article highlights, AI startups are pivoting to develop specialized tools tailored for enterprise needs. Large corporations juggle complex systems and data sources, creating opportunities for AI companies to offer targeted solutions. By focusing on specific verticals like sales, marketing, or research, these startups can deliver tangible value and measurable outcomes. 🎯 Here's what's happening: ✅ Startups like Tome are refocusing their AI offerings on enterprise sales and marketing, helping teams craft compelling presentations and drive deal closures. ✅ This shift reflects the reality that generalized AI still faces hurdles, while narrow AI applications aligned with clear business goals are more viable in the near term. ✅ As the AI gold rush settles, pragmatism prevails. Startups experiment with premium products, new pricing models, and vertical specialization to boost revenue and solve real enterprise pain points. ✅ The future of generative AI may be less flashy than anticipated, but its impact could streamline workflows and unlock productivity across industries. ⚡ While the hype around AI poetry and code generation captured attention, enterprises now seek AI tools that drive measurable outcomes and solve specific challenges. The future of generative AI in business may be more pragmatic, but no less transformative. #EnterpriseAI #GenerativeAI #ProductivityTools #BusinessInnovation

Riding the AI Hype Cycle: From High Hopes to Hard Realities 🚴♂️ There's a lot of optimism about AI, especially generative AI. "AI will make everything better." As we cruise through the hype cycle, it’s easy to believe that AI can already revolutionize every part of our lives and businesses. But the reality is more complex. Right now, LLMs like ChatGPT are impressive in many ways, but they don’t really understand the problems they’re "solving" or the products they're integrated into — they just mimic and rephrase existing content. Take customer support, for example. LLMs are widely used here, but not because they truly understand the problems they’re addressing. Instead, they're great at generating variations of pre-written support materials. The result? Efficient responses, yes, but not necessarily effective solutions. For AI to really meet our high expectations and deliver significant value in business software, we need more than just the current technology (transformers). We either need groundbreaking AI advancements that lead to real understanding and innovative problem-solving capabilities, or we need to adjust our implementation expectations. Too often, I hear people talking about AI as if we can just throw all the data from a product at an LLM and it will start solving problems by itself. I've tried that approach, and it hurts. It’s like putting a stick in a bike wheel — instant but not pleasant results. The future of AI holds immense potential, when we bridge the gap between expectations and reality. Maybe you've seen something I haven't. What are the best examples of generative AI you've seen implemented in business software, other than chat support? #AI #MachineLearning #Innovation #SaaS #Startup

Let's talk #chatbots! We've all seen the buzz lately – these virtual conversation partners powered by AI are supposed to be the next big thing. But are they truly revolutionary, or just a fancy marketing play? Tech giants are routing them as game-changers, but some folks are skeptical. They say these chatbots might be more like dressed-up search engines. Imagine a search bar that chats with you – that's the idea. So, what's the real deal? While AI lets chatbots understand our questions and find relevant info, is this a revolution in human-computer interaction? Critics suspect big companies might be overhyping chatbots for profit. Think about it – a hot new "AI revolution" could inflate stock prices, launch new products, and solidify their dominance. Are chatbots ushering in a new era of intelligent tech, or are we getting blinded by flashy marketing? The truth is probably somewhere in between. What do you think? Are AI chatbots the future, or just a fad? Share your thoughts! . . . . #ai #technology #AIchatbots #FutureOfWork #CustomerExperience #TechTrends #AIInnovation

Chatbots are reliable as they are into constant learning, evolving, and adapting to new information , becoming more powerful and efficient with each interaction. Problems with humans: → Limited Availability → Inconsistent Service → High cost → Slow Response Time Solution with Chatbots: → 24/7 Availability → Consistent Service → Cost Effective → Fast Response Time Do comments your thoughts✨

🌟 Exciting News from Disruptive AI! 🌟 🚀 Introducing LYZER: A Game-Changer in AI Agent Frameworks! 🚀 I am thrilled to announce the launch of a new platform, LYZER, designed to revolutionize the way you create, integrate, train, and deploy AI agents, bringing unprecedented efficiency and intelligence to your workspace. 🔹 Craft sophisticated AI agents tailored to your unique needs. 🔹 Effortlessly integrate diverse data sources for richer, more insightful interactions. 🔹 Equip your agents with advanced training modules for peak performance. 🔹Seamlessly deploy your AI solutions and see immediate results. LYZER is here to elevate your business operations to new heights. Imagine a future where intelligent automation drives productivity and innovation across all sectors. The possibilities are endless! 👉 Discover more at disruptivelyzer.com #AI #MachineLearning #ArtificialIntelligence #Innovation #Tech #Automation #DisruptiveAI #LYZER #AIFramework #DataIntegration #AITraining #Deployment

I'm an AI enthusiast who aims to bring awareness to the profound impact of AI in transforming businesses and shaping the world. Let's explore a practical example: envision a scenario where a customer service center implements AI chatbots for handling inquiries and support tickets. By leveraging AI algorithms, these chatbots can provide instant responses, route complex issues to human agents efficiently, and deliver round-the-clock support, leading to enhanced customer satisfaction and streamlined operations. This automation showcases how AI can optimize customer service processes, boost productivity, and revolutionize the way businesses engage with their customers in the digital age. If you're interested in harnessing AI solutions to uplift your business operations, don't hesitate to contact me at nicholasvonace1@gmail.com for tailored guidance and solutions. #AIIntegration #BusinessAutomation #CustomerService #Chatbots #CustomerSatisfaction #DigitalTransformation

Yes! This is my biggest concern with chatbots and one of the first things I ask when I am beta testing or giving feedback to AI companies. Who is monitoring the information it’s passing to the customer? I’ve had more than I care to admit say that there isn’t anything. Which means the bot uses an incorrect answer and continues to because it hasn’t been taught to NOT do it that way. Others say there have to be teams put in place to audit. Okay, that’s a little better, but audit is not reviewing everything, and if we’re employing people to monitor a bot why don’t we just hire people to talk to the customer? AI has so many incredible advantages in CX and opportunities to allow agents to do the meatier analytical work, but I have such a hard time trusting AI to provide the level of service my customers deserve without a full team monitoring every single answer. #ai #chatbot #cx #blindtrust #fail