The concept of an “agent” has evolved from the iconic suited spies of old to today’s AI-driven tools that are transforming Marketing and customer data management. Unlike traditional agents, AI agents don’t need a license to analyze data; they just need structured information and clear goals. There are three main types: conversational agents that handle ...
The journey of creating an effective AI system often begins with basic tasks, like building a customer support bot for an insurance company. Initially designed to answer FAQs, the bot struggled with follow-up questions from the same user, treating them as if they were new. This highlighted the importance of memory in AI, where remembering ...
No Jitter’s “Conversations in Collaboration” features insightful discussions with industry leaders about the latest trends in enterprise communications. In this episode, Peter Bailis, VP of Engineering at Google Cloud, shares insights on AI-driven data analytics and Google Cloud’s innovative “conversational agent” approach. This technology makes business intelligence more accessible by integrating AI agents into everyday ...
Dr. Alan Bekker, a former deep learning scientist at Snap, has launched eSelf AI, an innovative platform for real-time, video-based conversational AI agents. With $4.5 million in seed funding, eSelf AI aims to revolutionize various sectors including education, sales, and healthcare. The startup provides a user-friendly, “no-code” creation studio that enables customers to design AI ...
This blueprint offers a simple way to create a conversational voice agent using Pipecat, built on NVIDIA NIM microservices. Designed for production use, it integrates essential AI components such as speech-to-text, natural language processing, text-to-speech, and system management. Developers can easily deploy this voice agent for various applications like customer service, virtual assistance, and IoT. ...
