Your Salesforce AI Trail Guide:
[ON-DEMAND WEBINAR Series]
ABOUT THIS Series
You wouldn’t start a hike without checking your map and packing the right gear. The same principle applies to your Salesforce AI journey.
From understanding where to start to ensuring your organization is ready for what’s next, true success with Salesforce AI requires more than just great technology - it takes the right strategy, data foundation, and roadmap. Many companies already have Einstein features or Agentforce capabilities at their fingertips but struggle to align them with business goals or measure real impact. The difference between exploration and achievement often comes down to readiness and direction.
- Measuring AI Success: Key metrics and frameworks to track performance, adoption, and business impact
WHAT YOU WILL LEARN:
- AI Strategy Alignment: How to connect Salesforce AI, Einstein, and Agentforce to your broader business goals and identify the best path for near- and long-term success
- Data Readiness and Foundation: Why clean, connected data is essential for AI outcomes and how to build a foundation that powers intelligent agents and analytics
- AI in Action: Real examples of Agentforce and Einstein solving challenges across sales, service, and marketing, plus guidance on moving from proof of concept to deployment
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Get to know your speakers
Faisal Malik
Data & Analytics Practice Lead
Faisal Malik co-leads our Data & Analytics practice with over 28 years of industry experience focused on artificial intelligence and machine learning competency. Faisal develops and refines strategies across a range of business processes, functional disciplines and industries, helping partners develop insights and fostering long-term business relationships with them.
Anthony Lung is our National Tech Lead for Machine Learning and Data Science with over 20 years of experience helping companies drive sustainable business value through machine learning and advanced analytics. His expertise focuses on Data Science, Six Sigma, Change Leadership and Information Technology and spans many industries, including insurance, healthcare, financial services, energy and utilities, and US military.
National Tech Lead for Machine Learning and Data Science
Anthony Lung
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A Webinar Series
