Deployment and broad adoption of Intelligence will be decisive.
AGENTS
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True Autonomy: The Missing Link in 2026 AI Agents
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True autonomy is the missing link. We are seeing impressive 2026 benchmarks where agents compress months of ML engineering into days, but those systems are still prompted by a human "commander" who provides the original goal and the safety guardrails.
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Agents Need Platform Governance and Audit Trails
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Agents are just the muscles, but the platform is the nervous system. Without the governance and audit trails of a system like Salesforce, an autonomous agent is just a powerful tool running without a map or a leash.
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Databricks Training Catalog Revamped with AI Agents and Development
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Databricks Training and Certification is back at #DataAISummit with a completely revamped course catalog covering AI agents, vibe coding, app development, Lakebase, and more. New this year, training kicks off with two dedicated learning days before the main conference kicks off.
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AI Agent Automates Lead Outreach, Saves Six Hours Weekly
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It’s wild that one agent is already saving reps six hours of work by automating lead outreach. This isn’t just a new feature; it’s the ability to hire a full department of digital employees for a subscription.
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AI Agents Aligned With Your Values and Interests
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AI agents that are aligned with your values and interests fix this.
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Hermes Agent: Open-Source Self-Improving AI Layer Everywhere
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📣Hermes Agent just went from “cool dev toy” to everywhere AI layer.
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 23 avril 2026
▪️ Open‑source, self‑improving agent from Nous Research — with persistent memory + auto‑generated skills that get better every time you run tasks.
▪️ New v0.9.0 “Everywhere” release: local web dashboard,… pic.twitter.com/Da1oS28Lw2Hermes Agent just went from “cool dev toy” to everywhere AI layer. Open‑source, self‑improving agent from Nous Research — with persistent memory + auto‑generated skills that get better every time you run tasks. New v0.9.0 “Everywhere” release: local web dashboard,
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Building Better Agents with LangChain: Improvement Loops
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Join us in NY for a meetup on building better agents with Palash Shah, Applied AI Engineer at @LangChain
. RSVP https://
luma.com/qki24nnc Palash will walk through the agent improvement loop and how teams use traces as the foundation for continuous improvement. We’ll cover how -
Text Normalization for Production Voice AI Agents
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Inline text normalization for Voice AI agents! Real-time TTS models still struggle with non-standard text. Numbers, dates, currencies, abbreviations – the structured text that shows up in every production voice agent. "$42.50" should sound like "forty-two dollars and fifty
