RAIZOR’s Post

Kore.ai is listed as the top #ConversationAI provider on the Forrester Wave report. Another validation of our focus on enhancing #CX & #EX utlizing our advanced automation platform. Partners, reach out if you want to know more. #korepartnerprogram #cuttingedgeai

The future of knowledge is conversational! 🚀 Our latest blog post explores how Conversational AI is helping to unlock the 'last mile' of knowledge, facilitating more accessible access to information, and enhancing user experiences. Delve into AI chatbots, intelligent search, and dynamic conversational models that allow for a more personalized, intuitive, and human-like interaction with technology. With Conversational AI, we're moving closer to a future where information is just a question away! Join us on this fascinating journey, and let's revolutionize how we interact with our data. Feel free to share your thoughts and insights! Explore the blog post here: https://lnkd.in/gPmKhF3t #SearchBlox #ConversationalAI #ArtificialIntelligence #Chatbots

🚀 C-suite Innovators, The Future is Calling! 🌟 Generative AI is not just a buzzword; it's reshaping the $2 trillion global contact center market! Dive into a realm where +900K monthly calls and a +6% IVR resolution boost are the new norm, thanks to the transformative power of AI technologies like OpenQuestion by Teneo. 🔑 Unlock Insights: - Navigating through the technological transformation post-ChatGPT launch 🔄 - The surge of momentum into conversational and generative AI 🚀 - The pivotal role of AI in reinventing business models and delivering remarkable ROIs 💰 Read the full article: https://lnkd.in/e437Sh_B

🌟 Elevate Your Business with Rasa’s Cutting-Edge AI Chatbot Platform! Engaging with your audience through intelligent conversations is key in the fast-paced digital world. Enter Rasa, the open-source leader in conversational AI that empowers you to build chatbots that are not just smart, but truly understand and interact with users on a deeper level. Why Rasa? Here’s what sets it apart: Advanced NLU: Rasa’s natural language understanding goes beyond simple commands, allowing for nuanced conversations and accurate intent recognition. Customizable ML Models: Tailor machine learning models to fit your specific use case, ensuring your chatbot learns and improves over time. Seamless Integration: Connect with popular messaging channels and backend systems without hassle. Full Data Control: Keep your conversational data in-house, ensuring privacy and security. Rasa is perfect for industries ranging from finance to healthcare, providing personalized experiences that drive engagement and satisfaction. Key Benefits: Reduce Operational Costs: Automate routine inquiries, freeing up human agents for complex issues. 24/7 Customer Support: Provide instant assistance at any time of day. Scalable Conversations: Manage thousands of conversations simultaneously without compromising quality. Insightful Analytics: Gain valuable insights from chatbot interactions to improve services. Are you ready to transform your customer interactions? Build your bot with Rasa today by visiting https://rasa.com/ ! #ConversationalAI #Rasa #ChatbotDevelopment #CustomerEngagement #AIInnovation #TechTrends

Not sure where to start with Conversational AI? Here are the keys to best serving your customers: "* Having a clear business outcome in mind — start with a plan and make sure to articulate what success looks like. * Understand what data you need, and how to get it. example of a financial service virtual assistant that needs access to the account management system and investment product content to be effective * Understand the context — Bots need to fit into your interaction flow seamlessly to ensure they are working with the rest of the journey elements * Don’t create dead ends — There are some situations that need the human touch. Make sure your bots don’t leave your customers stranded."

Small language models (SLMs) are transforming contact centers by automating tasks and enhancing the customer experience. SLMs are a type of AI trained on a specific task, making them faster to train and deploy than large language models (LLMs). This makes them more affordable and efficient for contact centers. SLMs can be used to power chatbots, analyze sentiment, and generate summaries of customer interactions. SLMs are ideal for repetitive tasks, while LLMs are better suited for complex tasks like creative text generation. When deploying SLMs, consider cloud-based options and integration with existing contact center platforms. SLMs are a cost-effective solution with a potential long-term return on investment. The future of SLMs in contact centers is bright, with increased personalization, enhanced agent support, and a focus on multimodality. #customer service #AI #SLMs #contactcenters #chatbots Read more here: https://lnkd.in/dapJDVtb to learn how SLMs can improve your contact center.

📣1+1=3 This equation illustrates the outcome you can expect following today's launch of our new Generative AI Chat platform. Skipping the expected result and pushing past.🏅 I speak to many executives who worry about an AI Chatbot misrepresenting their brand or compromising cultural values because they are leveraging an open-source platform. Worry no more. With the 🚀of our new platform, the Customer Experience is in your complete control and learns by easily uploading company assets such as .pdf's or JSON files. As the connection between brand and consumer continues to evolve, don't get left behind by your competition who will be leveraging this. It's not a matter of if, but rather how and when. Take a moment for this quick read👇🏼 #generativeai #pressrelease #platform #artficialintelligence https://lnkd.in/gd28qn5c

There's general consensus that empowered AI agents will soon, if not already, implement and discharge many tedious workflows that humans have to manually orchestrate today. Not only will this transform our day-to-day activities as consumers of AI, but it will also affect how AI applications are built, operated, and secured. In the first of a series of articles on the impact of AI-assisted workflows from the perspective of the operators of AI apps, I introduce the architectural patterns and some of the unique first order challenges that arise. Follow up articles will talk about solutions to those operational and security challenges.

I have had teams working on Call Centre AI and chatbots (small language models) for a number of years - delivering outcomes, not just POC/POVs . The approach we developed from experience, was based on needing a multi-skilled team to solve business needs with the core tech. I have been asked by 2 customers in the past week for a blend of skills to help solve challenges with Gen AI solutions. So perhaps the GenAI hype curve is turning as business outcomes become needed. Perhaps, aspects of the patterns we have seen work before, are still relevant. Kristen Anderson and I have put together a blog post and an upcoming whitepaper on the combined experiences from Cognizant, on how we help deliver focused outcomes with Call Centre AI to evolve Customer Experiences - whether or not it includes GenAI. My view, is that any effort in this space does a lot better if there is some business outcome focus and a mix of skills 😀 . Its not rocket science.