Agentic AI Strategy Masterclass Grounding AI Agents for Enterprise Success

Описание: Agentic AI Strategy Master Class — Hype vs. Enterprise Reality 🚀
Hosts: Juanita Olguin (Sr. Director, Product Marketing, Coveo) & Sébastien Paquette (VP, Machine Learning, Coveo)
Support: Ahmed, LG, Ash, Gavin (Q&A + chat)

What You’ll Learn 🧭
• Where Agentic AI is today vs. real enterprise adoption
• Use cases that move the needle (service, internal ops, sales/marketing)
• Risks to manage: control, trust, security, vendor credibility, API strategy, MCP
• How to pick agentic vs. reactive GenAI (and when you don’t need agents)

Headlines & Context 📰
• Fast-moving space: new models, protocols, acquisitions, and standards weekly
• Gartner: agentic systems resolving most common service issues by 2029
• Reality check: only a small share have true production deployments

Multi-Agent Future (Without the Chaos) 🤖
• Agents ≠ workflows or single-shot RAG; they must perceive → reason → act → learn
• Core components: reasoning LLM, tools/APIs, guardrails, control loop, memory
• Trade-off: more autonomy = more variability; plan for evaluation and control

Enterprise Challenges (and Why POCs Stall) 🧱
• Siloed systems (ERP, CMS, CRM, KBs…), fragmented access controls
• Hallucinations from weak retrieval; prompting at scale is hard
• Compliance, auditability, and observability often missing
• “Prototype glow” fades when moving to real data, real users, real security

Foundations First (Then Agents) 🧩
• Unified, permission-aware retrieval (hybrid lexical + vector + ML ranking)
• Secure connectivity to all knowledge sources (no mass copy/migration)
• Interoperability with agent runtimes (MCP, actions, APIs)
• Observability & cost control from day one (per-step traces, model fit)

Platforms You’re Evaluating 🧪
• Salesforce Agentforce, Microsoft Copilot, OpenAI agents, AWS, Google, others
• Tip: keep retrieval runtime-agnostic so answers stay consistent across platforms

Readiness Checklist ✅
• Is enterprise data securely accessible and permissioned?
• Can you find the right info (hybrid retrieval) and prove citations?
• Do you have managed GenAI working reliably (before autonomy)?
• Start simple agents tied to clear KPIs; add orchestration later
• Measure ROI; iterate on prompts, tools, guardrails, and analytics

Key Takeaways 🎯
• Ground agents in trusted enterprise knowledge or they won’t scale
• Match solution to problem: many wins don’t require full agentic autonomy
• Build a single retrieval layer that feeds any agent/runtime—future-proofing without replatforming

Who Should Watch 👀
Execs, product & ML leaders, service/ops owners, data/search teams, and anyone charting an applied Agentic AI roadmap.

#Coveo #AgenticAI #GenerativeAI #MCP #EnterpriseSearch #RAG #VectorSearch #AIUX #CustomerService #DigitalTransformation #AppliedAI #Governance #Security