Einstein Next Best Action: Optimal Recommendations at the Point of Maximum Impact
Have you ever wished your CRM could tell you exactly what to do next? Well with Einstein Next Best Action, you can combine rules-based logic with powerful sources of insight to serve up actionable recommendations to employees and customers. Learn how insights from internal sources like Einstein Discovery, and from our partner ecosystem like IBM Watson and Aisera can be harnessed into focused, context-specific guidance for service, sales, and more. And finally, you don't want to miss us demo what will be in the newest release, as well as what's coming for this product in the next year.

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Create Rich, Custom Digital Experiences with LWC & 3rd Party JavaScript

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Einstein Next Best Action:Optimal Recommendations at the Point of Maximum Impact

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Leading in the Age of AI: A Conversation with NVIDIA CEO Jensen Huang | Global Conference 2026

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Harvard i-lab | Startup Secrets: Go to Market Strategies
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[DSC Europe 2020] Next-best-actions using continuous intelligence - Stephen Hardy

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TrailheaDX '19 Keynote - The Empowered Trailblazer: Continuous Innovation on the Salesforce Platform

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RL for Agents Workshop - Deep Dive on Training Agents with RL and Open Source

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Stanford University Lecture on Strategic Portfolio Management

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Next Best Action: Maximizing Customer Value – Sergei Bulaev | Compass Tech Summit 2023

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Designing a Customer-Centric Business Model

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ISO 42001 Explained: The New AI Governance Standard & What It Means for Your Business

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Value Props: Create a Product People Will Actually Buy
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Power Automate Tutorial ⚡ Beginner To Pro [Full Course]

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Data Cloud Keynote | Customer Success Through Data and AI | Dreamforce 2024

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Philip Kotler: Marketing

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