In recent years, how we interact with technology has dramatically shifted, largely thanks to the advancements in Generative AI. This leap forward has transformed virtual assistants and voice user interfaces, making our interactions with different brands more accessible, more engaging, and human-like.
Generative AI has empowered virtual assistants to understand and respond in incredibly natural ways. For example, when you ask a virtual assistant powered by Generative AI for cooking advice, it can provide recipes, tips, alternatives for missing ingredients, and follow-up questions to tailor the advice further. This depth of interaction makes using voice user interfaces more like chatting with a knowledgeable friend than issuing commands to a machine.

The revolution of Large Language Models (LLMs) in virtual assistants and voice user interfaces marks a significant milestone in our journey with technology. It's not just about the convenience of hands-free commands anymore; it's about creating a more intuitive, accessible, and personalized experience. As this technology continues to evolve, we can expect our digital companions to become even more integrated into our daily lives, making technology a tool and a partner.

Episode # 132

Today’s Guest:

Kevin Surace, Chairman & CTO, Appvance AI. Globally recognized futurist, inventor, and innovation leader credited as the pioneer of virtual assistants

• Website: Kevin Surace
• Linkedin: Kevin

This podcast offers invaluable insights into how AI and technology can bridge educational gaps, challenge traditional learning methods, and pave the way for a future where every student has the tools to succeed.

What Listeners Will Learn:

1. Why is everyone talking about generative AI, and what new content can it create?
2. What do Chief Technology Officers (CTOs) need to understand about generative AI's capabilities and limitations?
3. What are the main concerns surrounding Generative AI, including content accuracy and ethical use?
4. What are the common areas to focus on when utilizing generative AI to enhance creativity and improve efficiency?
5. How should organizations manage the changes brought about by introducing AI technologies?
6. In what ways can generative AI and huge language models impact customer support?
7. Why are ethical considerations and bias management crucial in AI development?
8. What should be considered to ensure the ethical use of open-source large language models?

Resources:

• Kevin Surace