Most enterprise AI agents never make it to production — not because of bad ideas, but because of flawed architecture.
@Ronald_vanLoon explored how Generic tools impress in demos but collapse when they hit compliance requirements or real-world process complexity.
@Sema4ai's latest platform release closes that gap — enabling business users to build agents in plain English, automatically map business context across systems, and enforce governance rules before any action is taken.
The AI production problem is solvable. This is what the fix looks like.
Learn More: https://sema4.ai/
#Sema4AIPartner #AI #GenerativeAI #Automation #DigitalTransformation #Innovation #MachineLearning #Technology
from Ronald van Loon https://www.youtube.com/shorts/riMLYuHJaQY
Subscribe to:
Post Comments (Atom)
Robots Start Learning From the Real World
What does a robot built for the AI era actually look like? Meet Axol by @almond-bot—a powerful dual-arm robot designed for real-world auto...
-
Smartest Glasses You’ll Ever Wear Experience the future with Xiaomi’s new smart glasses—where style meets innovation. Tap the frame to chang...
-
AI Trends to lookout for #Telcos from MWC 2024 by @Ronald_vanLoon, Anand Santhanam & Samad Masood | Watch now: https://bit.ly/3xZ2mJm #I...
-
AI Can Now ‘Read’ Text as Images — Here’s Why It Matters What if AI could read 10× more without costing 10× as much? Chinese AI firm @deepse...
No comments:
Post a Comment