DiscoverEveryday AI Podcast – An AI and ChatGPT PodcastEP 398: How AI Agents Can Bridge the Gap to the Future of Enterprise Work
EP 398: How AI Agents Can Bridge the Gap to the Future of Enterprise Work

EP 398: How AI Agents Can Bridge the Gap to the Future of Enterprise Work

Update: 2024-11-082
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Why AI agents? And why now? You've prolly been seeing all the buzz around AI agents lately. Same. Here's the thing, though. There's more to them than meets the eye. Scott Beechuk joins us to dive in deep and tell ya what you need to know.

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Topics Covered in This Episode:
1. Current State of AI Agents
2. Challenges in AI to AI Interactions
3. Guardrails in AI
4. Humans’ Roles in AI Integration
5. AI Agent Use Cases
6. Future of AI Agents

Timestamps:
00:00 AI agents are mainstream, bridging future enterprise work.
05:28 Technological shifts drive innovation, advancing AI capabilities.
07:40 Automate knowledge tasks and complex problem-solving cautiously.
10:25 AI complexity requires new quality assurance strategies.
15:53 AI agents optimize customer service interactions effectively.
19:39 AI's future: Multimodal interactions with voice, video.
23:51 AI enhances customer relationship building and sales effectiveness.
26:57 AI development tools advancing, with complex AI interactions.
29:13 Tracing AI interactions lacks standard communication protocols.
31:41 Build companies by working backward for efficiency.

Keywords:
AI advancements, GitHub Copilot, Microsoft's WorkLab, AI guardrails, OpenAI, AI in sales, AI in customer engagement, Scott Beechuk, AI agents, machine learning, generative AI, ChatGPT, customer service, transparency in AI usage, automating customer outreach, multimodal future of AI, AI development, R&D in AI, AI systems' risks, Cursor, Zencoder, Replicant, Jordan Wilson, Norwest Venture Partners, Software development, Anthropic, Salesforce, EveryDay AI podcast, data privacy in AI, brand integrity with AI

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EP 398: How AI Agents Can Bridge the Gap to the Future of Enterprise Work

EP 398: How AI Agents Can Bridge the Gap to the Future of Enterprise Work

Everyday AI