Everest report 2024: transforming experiences with generative and conversational AI

Generative AI is a powerful addition to any AI toolkit to streamline processes and create better, more human-like experiences.

Everest report 2024: transforming experiences with generative and conversational AI

Everest report 2024: transforming experiences with generative and conversational AI

Generative AI is a powerful addition to any AI toolkit to streamline processes and create better, more human-like experiences.

Acsess Report
Everest report 2024: transforming experiences with generative and conversational AI
How generative AI makes conversational AI better

When you combine conversational AI (CAI) with generative AI, you can create more human-like chatbot interactions faster with enhanced sentiment understanding, and better image recognition.

Together with conversational AI, generative AI can:

  • Increase efficiency: Automate content creation, improve data, and make complex decisions easier, to save time and resources.
  • Improve customer experience: Provide personalized interactions and recommendations, automate customer service, and create engaging content.
  • Boost employee productivity: Automate tasks, offer personalized advice, and improve teamwork with smart suggestions.
  • Reduce turnaround time: Speed up processes, allowing quicker decisions and high-quality results.
  • Save costs: Help save money in the long run through better experiences, efficient processes, and faster research and development.

Better experiences when generative AI powers conversational AI

The Everest Group complied insights from research analysis, real-world evidence, and industry best practices to help businesses fully leverage Generative AI and Conversational AI. Dive into the report for:

  • Overcoming generative AI challenges: Using CAI, organizations can leverage benefits from both technologies to alleviate obstacles.
  • Real-world generative AI use cases: Examine real-life use cases to see how this symbiosis works in practice.
  • Key steps for generative AI adoption: Maximize the benefits of generative AI adoption with a systematic approach.
  • In-depth case study: Learn from an early adopter on the challenges and benefits of using generative AI.