Use AI solutions in Salesforce to design complete enterprise solutions for sales, service, marketing, and commerce clouds and drive digital innovation in your organization

Key Features

• Learn how to use Salesforce's AI features and capabilities to meet ever-evolving client needs
• Get expert advice on key architectural decisions and trade-offs when designing AI-driven Salesforce solutions
• Integrate third-party AI services into applications that modernize your solutions

Book Description

Written for Salesforce architects who want quickly implementable AI solutions for their business challenges, Architecting AI Solutions on Salesforce is a shortcut to understanding Salesforce Einstein's full capabilities – and using them.

To illustrate the full technical benefits of Salesforce's own AI solutions and components, this book will take you through a case study of a fictional company beginning to adopt AI in its Salesforce ecosystem. As you progress, you'll learn how to configure and extend the out-of-the-box features on various Salesforce clouds, their pros, cons, and limitations.

You'll also discover how to extend these features using on- and off-platform choices and how to make the best architectural choices when designing custom solutions. Later, you'll advance to integrating third-party AI services such as the Google Translation API, Microsoft Cognitive Services, and Amazon SageMaker on top of your existing solutions.

This isn't a beginners' Salesforce book, but a comprehensive overview with practical examples that will also take you through key architectural decisions and trade-offs that may impact the design choices you make.

By the end of this book, you'll be able to use Salesforce to design powerful tailor-made solutions for your customers with confidence.

What you will learn

• Explore the Salesforce's AI components and the architectural model for Salesforce Einstein
• Extend the out-of-the-box features using Einstein Services on major Salesforce clouds
• Use Einstein declarative features to create your custom solutions with the right approach
• Design AI solutions on marketing, commerce, and industry clouds
• Use Salesforce Einstein Platform Services APIs to create custom AI solutions
• Integrate third-party AI services such as Microsoft Cognitive Services and Amazon SageMaker into Salesforce

Who this book is for

This book is for technical and functional architects, technical decision-makers working on the Salesforce ecosystem, as well as anyone responsible for designing AI solutions in their Salesforce ecosystem. Lead and senior Salesforce developers who want to start their Salesforce architecture journey will also find this book helpful. Working knowledge of the Salesforce platform is necessary to get the most out of this book.

Table of Contents

1. AI Solutions on the Salesforce Einstein Platform
2. Salesforce AI for Sales
3. Salesforce AI for Service
4. Salesforce AI for Marketing and Commerce
5. Salesforce AI for Industry Clouds
6. Declarative Customization Options
7. Building AI Features with Einstein Platform Services
8. Integrating Third-Party AI Services
9. A Salesforce AI Decision Guide
10. Conclusion

About the author

Lars Malmqvist has spent the past 13 years working as an architect and CTO within the Salesforce ecosystem. He has worked on over 40 Salesforce implementations ranging from simple out-of-the-box scenarios to advanced, bespoke, multi-cloud solutions for large global brands. He is a 29x certified Salesforce CTA with degrees in Anthropology, Mathematics, Technology Management, an MBA from the University of Cambridge, and a PhD in Computer Science from the University of York. Currently, he is as a Partner at Implement Consulting