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Architecting AI Solutions on Salesforce
Architecting AI Solutions on Salesforce

Architecting AI Solutions on Salesforce: Design powerful and accurate AI-driven state-of-the-art solutions tailor-made for modern business demands

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Profile Icon Lars Malmqvist
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S$53.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8 (13 Ratings)
Paperback Nov 2021 340 pages 1st Edition
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Arrow left icon
Profile Icon Lars Malmqvist
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S$53.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8 (13 Ratings)
Paperback Nov 2021 340 pages 1st Edition
eBook
S$38.99 S$43.99
Paperback
S$53.99
Subscription
Free Trial
eBook
S$38.99 S$43.99
Paperback
S$53.99
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Architecting AI Solutions on Salesforce

Chapter 1: AI Solutions on the Salesforce Einstein Platform

In this chapter, we will see why it is a good idea to build AI solutions on Salesforce and what business and technical benefits this approach can have. We will then take a bird's eye view of the various components that will be discussed throughout the book, present a basic architectural view of Salesforce Einstein, the AI platform embedded in Salesforce, and continue with a discussion on how architecting AI solutions is different from architecting traditional solutions.

This chapter ends by presenting Pickled Plastics Ltd., a scenario that will be expanded throughout the book to help reinforce the real-world applications of the technology.

In this chapter, we're going to cover the following main topics:

  • Why would you build AI solutions on Salesforce?
  • What are the main components of Salesforce AI?
  • What are the elements of Salesforce Einstein?
  • What's special about architecting for AI?
  • Presenting Pickled Plastics Ltd.

By the end of this chapter, you will know how to think about architecting AI solutions on Salesforce.

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Key benefits

  • 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

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.

Who is this book 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.

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
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Publication date, Length, Edition, Language, ISBN-13
Publication date : Nov 12, 2021
Length: 340 pages
Edition : 1st
Language : English
ISBN-13 : 9781801076012
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Length: 340 pages
Edition : 1st
Language : English
ISBN-13 : 9781801076012
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Category :
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Frequently bought together


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Table of Contents

16 Chapters
Section 1: Salesforce and AI Chevron down icon Chevron up icon
Chapter 1: AI Solutions on the Salesforce Einstein Platform Chevron down icon Chevron up icon
Section 2: Out-of-the-Box AI Features for Salesforce Chevron down icon Chevron up icon
Chapter 2: Salesforce AI for Sales Chevron down icon Chevron up icon
Chapter 3: Salesforce AI for Service Chevron down icon Chevron up icon
Chapter 4: Salesforce AI for Marketing and Commerce Chevron down icon Chevron up icon
Chapter 5: Salesforce AI for Industry Clouds Chevron down icon Chevron up icon
Section 3: Extending and Building AI Features Chevron down icon Chevron up icon
Chapter 6: Declarative Customization Options Chevron down icon Chevron up icon
Chapter 7: Building AI Features with Einstein Platform Services Chevron down icon Chevron up icon
Chapter 8: Integrating Third-Party AI Services Chevron down icon Chevron up icon
Section 4: Making the Right Decision Chevron down icon Chevron up icon
Chapter 9: A Salesforce AI Decision Guide Chevron down icon Chevron up icon
Chapter 10: Conclusion Chevron down icon Chevron up icon
Assessments Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

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Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8
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4 star 15.4%
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Vivek Jan 06, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
A few years ago, Salesforce started to add value-added licenses on top of their classic user licenses. A plethora of AI functionalities was rolled out under the badge of "Salesforce Einstein." The number of these different sub-products has quickly grown up, and the market got puzzled with so many options to choose from. Moreover, the Salesforce professionals themselves got confused on "how" to use them.These features were not as easy to turn on or work with as other classic Salesforce features (where you simply spawn a developer sandbox and try them on).And with the high demand for AI-powered solutions, the common challenges were:When can I use Einstein capabilities, and what considerations should I be aware of?- Which Einstein capability should I be considering for my use cases (away from the sales buzz)?- What should be the considerations if we need to use a third-party AI solution?Lars created what I would like to call an "Einsteinopedia." A single resource that explains them all. If you are a fan of in-context-AI-solutions and looking to understand how that can be applied in CRM or a Salesforce professional keen to use AI to drive more value to your clients, then this book is for you.
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Car Los Dec 17, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
You don't find much content about AI + Salesforce. This book gives you what you need to understand the Einstein platform and why you should consider it for your business.Highly recommend it.
Amazon Verified review Amazon
Gian Marco Elera Nov 13, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
As a Salesforce architect I really enjoyed reading this book. It is well structured, clearly written, it contains applicable use cases and here are some other things that I liked the most: 1. Each AI feature contains a section for architectural considerations and tradeoffs. 2. As well as the architectural considerations in each section, there is an entire "Decision Guide" section at the end. 3. The book contains a company example scenario that will be used throughout the book to explain each AI feature in an easier way to understand it. 4. It contains deployment strategies for each feature as well as the amount of data needed and what will be the caveats to consider based on not accurate data. 5. It is not just salesforce AI features, the book includes also 3rd party apps examples that you can integrate withThis is a book that should be carried as a ready reference while architecting AI solutions on Salesforce
Amazon Verified review Amazon
Peter Mar 04, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The use cases for AI in public services and businesses are proliferating, but application often lags behind as opportunities get parked in the "too hard for now" column."Architecting AI Solution on Salesforce" cuts through the hype and fog around AI to explain the options and practicalities of exploiting the work Salesforce is doing to make it simpler for organisations to apply AI to their business challenges.This book is essential reading for anyone working within the Salesforce ecosystem. Though clearly intended to satisfy developers and architects, the content is accessible to administrators and spends a decent number of pages explaining how much can be achieved without needing to write code.
Amazon Verified review Amazon
AMol SOlanki Jan 11, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Excellent book! This is precisely what I was looking for. If you need a get started guide for salesforce AI, look no further. The explanations are clear and very easy to follow. You do need some experience on salesforce platform/ecosystem and messing around with AI to get some of the concepts.The book is one of those you keep on your desk as reference and fill it with Post-it notes so you can go back and delve into certain tools or techniques it describes that you'll find are exactly what you need in solving the problem at hand.
Amazon Verified review Amazon
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