Architecting AI Solutions on Salesforce

This is the code repository for Architecting AI Solutions on Salesforce, published by Packt.

Design powerful and accurate AI-driven state-of-the-art solutions tailor-made for modern business demands

What is this book about?

The ever-increasing need for designing state-of-the-art solutions using AI features requires a sound understanding of a vast array of AI capabilities that help you to architect modern solutions. Salesforce Einstein is a set of services that allows seamless implementation of advanced artificial intelligence (AI) features while retaining the ability to cater to custom requirements for the business.

This book covers the following exciting features:

Explore the AI components available in Salesforce 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
Architect 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

If you feel this book is for you, get your copy today!

Instructions and Navigations

All of the code is organized into folders. For example, Chapter02.

The code will look like the following:

#train/test split
train_data, test_data = np.split(model_data.sample(frac=1, random_state=432), [int(0.8 * len(model_data))])
print(train_data.shape, test_data.shape)

Following is what you need for this book: This book is for existing and aspiring technical and functional architects, technical decision-makers working on the Salesforce ecosystem, and those 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.

With the following software and hardware list you can run all code files present in the book (Chapter 1-10).

Software and Hardware List

Chapter	Software required	OS required
1-10	Salesforce Einstein Platform	Windows, Mac OS X, and Linux (Any)
1-10	Einstein Platform Services	Windows, Mac OS X, and Linux (Any)
1-10	Tableau CRM: Einstein Discovery	Windows, Mac OS X, and Linux (Any)

We also provide a PDF file that has color images of the screenshots/diagrams used in this book. Click here to download it.

Code in Action

Click on the following link to see the Code in Action:

https://bit.ly/3DerU2h

Get to Know the Author

Lars Malmqvist has spent the past 12 years working as an architect and CTO within the Salesforce ecosystem. For the past 5 years, he has been particularly focusing on advanced AI solutions. 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 23x certified Salesforce CTA with degrees in computer science, mathematics, and technology management and an MBA from the University of Cambridge. Currently, he works as a senior manager at Accenture and is in the final stages of completing a PhD with a focus on deep learning.

Download a free PDF

If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.
Simply click on the link to claim your free PDF.

https://packt.link/free-ebook/9781801076012

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