We have all experienced bad bots. Bots that do not deliver on their promises or looked like half-baked ideas that have gone live.
In fact, a 2021 research paper by Jansen et al, reports that 53% of bots fail within 15 months of launch.
So why does this happen?
Generative AI (GenAI) and Conversational AI (CAI) represent two significant advancements in artificial intelligence, each offering unique functionalities and applications. Here’s a comprehensive narrative on their distinctions, synergies, and how GenAI can enhance CAI, drawing insights from various documents.
Organisations are seeing more and more the revolutionary power of being data-first and AI-first in the ever-evolving business technology ecosystem. Even though this path is different for every company, it covers a crucial progression from preliminary research to complete AI integration.
Recently, “AI agents” and “agentic workflows” have become buzzwords in the tech industry, generating much excitement and curiosity. The purpose of this article is to clarify what AI agents are, explore their strengths, weaknesses, and potential dangers, and provide insights into the future of AI agentic workflows.
For business executives striving to maintain a competitive edge, keeping up with rapid AI advancements can be daunting.
This article aims to demystify “GenAI Apps,” exploring the various types available and what it takes to build these cutting-edge tools.
Superbo is transforming its Wisaa™ Conversational Integration Framework, to becoming a native GenAI citizen, by adopting Agentic workflows.
Superbo GenAI Fabric™ is a GenAI-native modular architecture for delivering conversational applications, with focus on accuracy, performance, cost efficiency and security.
A conversational AI blueprint is an essential foundation for any successful chatbot implementation. By outlining key areas such as terminology, architecture, metrics, and advanced topics, you can ensure a well-rounded and efficient chatbot experience that meets your business objectives. In this blog post, we will delve into each of these crucial areas and discuss the importance of having a comprehensive conversational AI blueprint.
In this blog post, we will explore how modular chatbot applications can benefit from incorporating LLMs, transforming them into versatile and efficient tools for customer engagement.
Contrary to popular belief, delivering a chatbot is not a one-time project with a start and end date. Instead, it is an ongoing journey that evolves alongside your digital transformation initiatives.
