Share
Join Malcolm Gladwell, author and host of Revisionist History, for Smart Talks with IBM as he speaks with visionaries who are creatively applying technology in business to drive change and transform their industries. This season, Smart Talks with IBM is hitting the road. We’re stepping outside the studio to explore how IBM clients are using artificial intelligence to transform the way they do business. It’s a fresh look behind the curtain of technology, where big ideas meet cutting-edge solu ...
…
continue reading
Manage episode 523754420 series 3470198
Content provided by Everyday AI. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Everyday AI or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
Algorithms and automations have been buds for a decade plus. 🤝
But the old 'smart' automations were rigid. If one thing was wrong, the automation would bust.
But with LLM-powered agents? Those automations are different. If something's wrong, the agent might just..... guess. 😳
Weak data = weaker outcomes.
Here's how to fix it when agents come first and they're gonna finish the job, whether the data is strong or not.
From Automation to Agents: Why Weak Data Makes AI Guess -- An Everyday AI chat with Jordan Wilson and Ed Macosky
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion:Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
- Automation vs. Agentic Workflows: Key Differences
- AI Agents: Data Quality and Output Risks
- Agentification Trends in Enterprise Automation
- Pros and Cons: Converting Automations to Agents
- AI Agents Impact on Business Processes
- Importance of Data Governance in AI Agents
- AI Agent Control Towers and Observability
- Measuring ROI: AI Agents and Data Investments
Timestamps:
00:00 "Trusting AI for Business Growth"
06:31 "Agent-Based Automation: Pros & Cons"
08:29 "AI Agents Simplify Workflow Management"
10:40 Expense Report Workflow Frustrations
15:05 AI Governance and Data Integrity
19:04 "Governance and Multi-Agent Data Strategy"
22:50 "AI ROI and Data Focus"
26:01 AI Studio: Create Apps Faster
Keywords:
AI agents, Agentification, Agentic workflows, Automation, AI-powered automation, Business process automation, Deterministic workflows, Non-deterministic workflows, Data quality, Data governance, Data management, Integration platforms, Boomi, Chief Product and Technology Officer, Large language models, Generative AI, Rigid workflows, Flexible workflows, Conversational agents, Expense report automation, Policy adaptation, AI decision-making, Human-in-the-loop, AI observability, AI traceability, Multi-agent orchestration, Ecosystem synchronization, Agent control tower, AI governance tools,
Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
Vibe coding is dead simple. Head to AI.Studio/build to create your first app.
Vibe coding is dead simple. Head to AI.Studio/build to create your first app.
Vibe coding is dead simple. Head to AI.Studio/build to create your first app.
671 episodes
))
