Chatbots Revolutionizing Enterprise Digital Assistants — Peter Voss //

Peter Voss, Founder, CEO, and Chief Scientist at, talks about making software intelligent. In a world of Siris and Alexas, most of us are familiar with the power and limitations of the first and second waves of AI. Now that we’re in the third wave, chatbots have evolved beyond simple rule-based interactions and are now able to make judgments and learn, resulting in more human-like interactions. Today, Peter discusses chatbots revolutionizing enterprise digital assistants.
About the speaker

Peter Voss


Peter is the Founder, CEO, and Chief Scientist at

Show Notes

  • 02:14
    The capabilities and limitations of conversational AI
    While conversational AI in applications like ChatGPT is impressive, we must be aware of its limitations and potential inaccuracies. For critical enterprise applications, a more robust system that focuses on the quality of data rather than quantity is needed.
  • 03:40
    The three waves of AI
    The first wave of AI was logic-based systems, and the second wave brought deep learning and big data. Currently, the third wave is focused on cognitive systems with reasoning, learning, and deep understanding.
  • 07:25
    Current conversational AI applications like Siri and Alexa are limited to stimulus-response interactions, using first and second-wave technology. Customer service, which involves ongoing conversation, requires a deeper understanding of the context to be effective.
  • 10:23
    Training algorithms to respond to customers
    Systems for call centers and casual chatbots require a broad range of knowledge and will take longer to train. However, systems that are more narrow in focus are relatively easy to train.
  • 13:16
    Customizing conversational AI systems for business
    At Aigo, AI psychologists go through and understand business objectives, terminology unique to your application, and applicable business rules. From there, ontologies are developed and there is API integration to gather up-to-date customer information and update databases.
  • 14:33
    The ethics of artificial intelligence in conversations
    Typically, Aigos customers want conversational AI bots to sound as human-like as possible. But, being upfront about it being an intelligent chatbot leads to more honest and efficient conversations.
  • 15:31
    The cost of training and implementing a digital bot system
    The costs are going down as the tools to teach the systems are improving. However, Aigos implementations typically range between $20,000 and half a million and are best suited for call centers of 50 people or more.
  • 17:04
    Making conversational AI tools accessible to smaller businesses
    Aigos cost of implementation continues to decrease as the core brain and tools used for implementation become more advanced. In the coming years, the technology will be accessible to medium-sized and even single-person businesses.


  • "Siri and Alexa are not conversational in a meaningful way. They tend to be one-shot type applications where you say something like, Play Misty for Me. It's just really one utterance and a categorizer." -Peter Voss, CEO,

  • "One of our big customers is 1-800-flowers. We give a hyper-personalized concierge type service to customers where the system remembers who you bought gifts for." -Peter Voss, CEO,

  • "From a practical and a philosophical point of view, it makes for a more honest and efficient conversation to be upfront that it's an intelligent chatbot." -Peter Voss, CEO,

  • "As a rough guideline, a digital bot system doesn't cost anything, it saves you money. That's the starting point." -Peter Voss, CEO,

  • "With the development of the technology and the tools we have, any call center of 50 people or more could definitely have a spectacular ROI." -Peter Voss, CEO,

  • "Every month, we reduce the cost of implementation as the core brain that we started with has more and more capabilities, and the tools that we have to implement are becoming more powerful." -Peter Voss, CEO,

  • "We do expect over time to be able to offer this technology to medium-sized and even one-man show companies. So, in the coming years, we'll definitely be able to make that happen." -Peter Voss, CEO,

About the speaker

Peter Voss


Peter is the Founder, CEO, and Chief Scientist at

Up Next: