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Recent content by zenylitics

  1. zenylitics

    Conversation Intelligence for Better Customer Conversations

    Businesses have many customer conversations across sales calls, meetings, and support interactions. Understanding these conversations can help teams identify customer needs, recurring issues, and opportunities for improvement. Conversation intelligence uses AI to analyze conversations and turn...
  2. zenylitics

    AI voice agents vs traditional IVR — is the replacement finally real?

    I think AI voice agents are becoming a realistic alternative to traditional IVR for many use cases. Traditional IVR systems can be frustrating when customers have to navigate several menu options. Voice agents can make conversations more natural and potentially handle more complex requests...
  3. zenylitics

    What was the most absurd rejection from AI you ever received?

    One of the funniest things about AI is when it refuses a completely harmless request because it somehow interprets it as something risky. Sometimes the explanation is more surprising than the refusal itself. It shows how important context is when working with AI systems.
  4. zenylitics

    What AI tool has genuinely improved your productivity this year?

    For me, AI tools have been most useful for reducing repetitive work and helping with research and brainstorming. They can save a lot of time when organizing information, summarizing ideas, or getting a starting point for a task. I think the biggest productivity benefit comes from using AI as an...
  5. zenylitics

    How are people using AI in music creation?

    AI is making music creation much more accessible. People are using it for generating ideas, experimenting with melodies, creating background music, and exploring different styles. I think one of the most interesting uses is as a creative assistant rather than a complete replacement for...
  6. zenylitics

    What is Agentic Data and Application Management: How does the Brillio framework solve data drift?

    Agentic data management is an interesting approach to handling data quality and application level issues. Data drift can become a major challenge when the underlying data changes over time, especially for AI driven applications. I think continuous monitoring and automated detection are...
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