Learning Salesforce Einstein PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Learning Salesforce Einstein PDF full book. Access full book title Learning Salesforce Einstein by Mohith Shrivastava. Download full books in PDF and EPUB format.

Learning Salesforce Einstein

Learning Salesforce Einstein PDF Author: Mohith Shrivastava
Publisher: Packt Publishing Ltd
ISBN: 1787125289
Category : Computers
Languages : en
Pages : 324

Book Description
Incorporate the power of Einstein in your Salesforce application About This Book Make better predictions of your business processes using prediction and predictive modeling Build your own custom models by leveraging PredictionIO on the Heroku platform Integrate Einstein into various cloud services to predict sales, marketing leads, insights into news feeds, and more Who This Book Is For This book is for developers, data scientists, and Salesforce-experienced consultants who want to explore Salesforce Einstein and its current offerings. It assumes some prior experience with the Salesforce platform. What You Will Learn Get introduced to AI and its role in CRM and cloud applications Understand how Einstein works for the sales, service, marketing, community, and commerce clouds Gain a deep understanding of how to use Einstein for the analytics cloud Build predictive apps on Heroku using PredictionIO, and work with Einstein Predictive Vision Services Incorporate Einstein in the IoT cloud Test the accuracy of Einstein through Salesforce reporting and Wave analytics In Detail Dreamforce 16 brought forth the latest addition to the Salesforce platform: an AI tool named Einstein. Einstein promises to provide users of all Salesforce applications with a powerful platform to help them gain deep insights into the data they work on. This book will introduce you to Einstein and help you integrate it into your respective business applications based on the Salesforce platform. We start off with an introduction to AI, then move on to look at how AI can make your CRM and apps smarter. Next, we discuss various out-of-the-box components added to sales, service, marketing, and community clouds from salesforce to add Artificial Intelligence capabilities. Further on, we teach you how to use Heroku, PredictionIO, and the force.com platform, along with Einstein, to build smarter apps. The core chapters focus on developer content and introduce PredictionIO and Salesforce Einstein Vision Services. We explore Einstein Predictive Vision Services, along with analytics cloud, the Einstein Data Discovery product, and IOT core concepts. Throughout the book, we also focus on how Einstein can be integrated into CRM and various clouds such as sales, services, marketing, and communities. By the end of the book, you will be able to embrace and leverage the power of Einstein, incorporating its functions to gain more knowledge. Salesforce developers will be introduced to the world of AI, while data scientists will gain insights into Salesforce's various cloud offerings and how they can use Einstein's capabilities and enhance applications. Style and approach This book takes a straightforward approach to explain Salesforce Einstein and all of its potential applications. Filled with examples, the book presents the facts along with seasoned advice and real-world use cases to ensure you have all the resources you need to incorporate the power of Einstein in your work.

Learning Salesforce Einstein

Learning Salesforce Einstein PDF Author: Mohith Shrivastava
Publisher: Packt Publishing Ltd
ISBN: 1787125289
Category : Computers
Languages : en
Pages : 324

Book Description
Incorporate the power of Einstein in your Salesforce application About This Book Make better predictions of your business processes using prediction and predictive modeling Build your own custom models by leveraging PredictionIO on the Heroku platform Integrate Einstein into various cloud services to predict sales, marketing leads, insights into news feeds, and more Who This Book Is For This book is for developers, data scientists, and Salesforce-experienced consultants who want to explore Salesforce Einstein and its current offerings. It assumes some prior experience with the Salesforce platform. What You Will Learn Get introduced to AI and its role in CRM and cloud applications Understand how Einstein works for the sales, service, marketing, community, and commerce clouds Gain a deep understanding of how to use Einstein for the analytics cloud Build predictive apps on Heroku using PredictionIO, and work with Einstein Predictive Vision Services Incorporate Einstein in the IoT cloud Test the accuracy of Einstein through Salesforce reporting and Wave analytics In Detail Dreamforce 16 brought forth the latest addition to the Salesforce platform: an AI tool named Einstein. Einstein promises to provide users of all Salesforce applications with a powerful platform to help them gain deep insights into the data they work on. This book will introduce you to Einstein and help you integrate it into your respective business applications based on the Salesforce platform. We start off with an introduction to AI, then move on to look at how AI can make your CRM and apps smarter. Next, we discuss various out-of-the-box components added to sales, service, marketing, and community clouds from salesforce to add Artificial Intelligence capabilities. Further on, we teach you how to use Heroku, PredictionIO, and the force.com platform, along with Einstein, to build smarter apps. The core chapters focus on developer content and introduce PredictionIO and Salesforce Einstein Vision Services. We explore Einstein Predictive Vision Services, along with analytics cloud, the Einstein Data Discovery product, and IOT core concepts. Throughout the book, we also focus on how Einstein can be integrated into CRM and various clouds such as sales, services, marketing, and communities. By the end of the book, you will be able to embrace and leverage the power of Einstein, incorporating its functions to gain more knowledge. Salesforce developers will be introduced to the world of AI, while data scientists will gain insights into Salesforce's various cloud offerings and how they can use Einstein's capabilities and enhance applications. Style and approach This book takes a straightforward approach to explain Salesforce Einstein and all of its potential applications. Filled with examples, the book presents the facts along with seasoned advice and real-world use cases to ensure you have all the resources you need to incorporate the power of Einstein in your work.

Learning Einstein Analytics

Learning Einstein Analytics PDF Author: santosh chitalkar
Publisher: Packt Publishing Ltd
ISBN: 1788478185
Category : Computers
Languages : en
Pages : 233

Book Description
Learn to confidently setup and create app, lenses, dashboards using Salesforce Einstein Analytics. Key Features Explore Einstein analytics on desktop as well as mobile platforms Turn data into smarter sales with Einstein Analytics for Sales Visualize your data with preloaded as well as customized dashboards Book Description Salesforce Einstein analytics aka Wave Analytics is a cloud-based platform which connects data from the multiple sources and explores it to uncover insights. It empowers sales reps, marketers, and analysts with the insights to make customer interactions smarter, without building mathematical models. You will learn to create app, lenses, dashboards and share dashboards with other users. This book starts off with explaining you fundamental concepts like lenses, step, measures and sets you up with Einstein Analytics platform. We then move on to creating an app and here you will learn to create datasets, dashboards and different ways to import data into Analytics. Moving on we look at Einstein for sales, services, and marketing individually. Here you will learn to manage your pipeline, understand important business drivers and visualize trends. You will also learn features related to data monitoring tools and embedding dashboards with lightning, visualforce page and mobile devices. Further, you will learn advanced features pertaining to recent advancements in Einstein which include machine learning constructs and getting predictions for events. By the end of this book, you will become proficient in the Einstein analytics, getting insights faster and understanding your customer in a better way. What you will learn Create app, lenses, and dashboards using Einstein. Visualize data utilizing all the widgets available with Einstein. Understand Einstein for Sales, Service, and Marketing separately. Use Data monitoring tools to monitor data flow and system jobs. Abstract machine learning constructs and make predictions on events Who this book is for This book is for data scientists, business users, developers who want to explore business data using the Salesforce Einstein Analytics. Knowledge of the Salesforce platform is required.

Learning Einstein Analytics

Learning Einstein Analytics PDF Author: Santosh Tukaram Chitalkar
Publisher:
ISBN: 9781788475761
Category : Computers
Languages : en
Pages : 242

Book Description
Learn to confidently setup and create app, lenses, dashboards using Salesforce Einstein Analytics. Key Features Explore Einstein analytics on desktop as well as mobile platforms Turn data into smarter sales with Einstein Analytics for Sales Visualize your data with preloaded as well as customized dashboards Book Description Salesforce Einstein analytics aka Wave Analytics is a cloud-based platform which connects data from the multiple sources and explores it to uncover insights. It empowers sales reps, marketers, and analysts with the insights to make customer interactions smarter, without building mathematical models. You will learn to create app, lenses, dashboards and share dashboards with other users. This book starts off with explaining you fundamental concepts like lenses, step, measures and sets you up with Einstein Analytics platform. We then move on to creating an app and here you will learn to create datasets, dashboards and different ways to import data into Analytics. Moving on we look at Einstein for sales, services, and marketing individually. Here you will learn to manage your pipeline, understand important business drivers and visualize trends. You will also learn features related to data monitoring tools and embedding dashboards with lightning, visualforce page and mobile devices. Further, you will learn advanced features pertaining to recent advancements in Einstein which include machine learning constructs and getting predictions for events. By the end of this book, you will become proficient in the Einstein analytics, getting insights faster and understanding your customer in a better way. What you will learn - Create app, lenses, and dashboards using Einstein. - Visualize data utilizing all the widgets available with Einstein. - Understand Einstein for Sales, Service, and Marketing separately. - Use Data monitoring tools to monitor data flow and system jobs. - Abstract machine learning constructs and make predictions on events Who this book is for This book is for data scientists, business users, developers who want to explore business data using the Salesforce Einstein Analytics. Knowledge of the Salesforce platform is required.

Learning Salesforce Lightning Application Development

Learning Salesforce Lightning Application Development PDF Author: Mohith Shrivastava
Publisher: Packt Publishing Ltd
ISBN: 178712231X
Category : Computers
Languages : en
Pages : 446

Book Description
Build, design, and style beautiful and informative applications on the Salesforce Lightning platform Key Features Build and Test Lightning Components that enhance application usability and adaptability Apply Security Best Practices to your Custom Lightning Components Design Lightning Components for Salesforce UIs such as Lightning Pages, Salesforce 1 Application, Communities, and more. Book Description Built on the Salesforce App Cloud, the new Salesforce Lightning Experience combines three major components: Lightning Design System, Lightning App Builder, and Lightning Components, to provide an enhanced user experience. This book will enable you to quickly create modern, enterprise apps with Lightning Component Framework. You will start by building simple Lightning Components and understanding the Lightning Components architecture. The chapters cover the basics of Lightning Component Framework semantics and syntax, the security features provided by Locker Service, and use of third-party libraries inside Lightning Components. The later chapters focus on debugging, performance tuning, testing using Lightning Testing Services, and how to publish Lightning Components on Salesforce AppExchange. What you will learn Understand Lightning Components architecture Learn Locker security best practices Debug and Improve performance of your Lightning Components Use third-party libraries along with Lightning Component Framework Learn how to publish Lightning Components on AppExchange Use Lightning Out to take your Lightning Components outside the Salesforce platform Who this book is for This book is for Salesforce developers or developers from other platforms who are familiar with HTML, CSS, and JavaScript and want to build and test Salesforce Lightning components. No knowledge of Salesforce Lightning is required.

Rapid SaaS Application Development Using Salesforce

Rapid SaaS Application Development Using Salesforce PDF Author: Tameem Bahri
Publisher: BPB Publications
ISBN: 9355519001
Category : Computers
Languages : en
Pages : 417

Book Description
Learn how to rapidly build and document scalable Salesforce applications KEY FEATURES ● Practice the Salesforce rapid application development lifecycle. ● Gain crucial application development skills and knowledge. ● Build a real-world Phonebook application to master the development cycle. DESCRIPTION This book is a practical guide for building secure, scalable, and performant SaaS applications on top of the Salesforce platform. Learn how to dissect a business problem and extract non-communicated requirements. Gain practical knowledge on designing and documenting a Salesforce application using the right mix of low-code development tools such as flows, validation rules, and formula fields and full-code using APEX, Lightning Components, and off-platform modules. Start with the fundamental concepts of the Salesforce platform and its SaaS application development capabilities. Learn key building blocks like objects, fields, and security models, explore powerful tools like App Builder and Flow Builder, and master the principles of the Salesforce app development lifecycle. The book will use real-life business scenarios to practically teach you foundational information and skills that you can use to develop enterprise-ready applications. You will gain critical knowledge and skills to put you on track for your journey toward the prestigious Salesforce Certified Technical Architect credentials. WHAT YOU WILL LEARN ● Develop scalable, extendable, and performant Salesforce applications. ● Build a fully functional Phonebook application and experience the entire development cycle. ● Design and document a Salesforce application efficiently and effectively using standard artifacts. ● Test and release your Salesforce application. ● Build a lively feedback loop with your application’s end users. WHO THIS BOOK IS FOR This book is for citizen developers, business analysts, SaaS application developers,salesforce developers and architects, and anyone interested in developing SaaS applications to solve enterprise business problems or to become Salesforce Certified Technical Architects. TABLE OF CONTENTS 1. Introduction to the Salesforce Platform 2. Deep Dive into Key Building Blocks and Tools 3. Develop a Sample Salesforce Application: PbP Phonebook 4. Learn the Salesforce Application Development Lifecycle 5. Understand the Supporting Tools and Artifacts 6. Create a Sample Application: Define and Refine the Requirements 7. Create a Sample Application: Solve and Build the Application - Part 1 8. Create a Sample Application: Solve and Build the Application - Part 2 9. Create a Sample Application: Test and Deploy 10. Tips and Tricks and the Way Forward

Artificial Intelligence and Machine Learning for Business for Non-Engineers

Artificial Intelligence and Machine Learning for Business for Non-Engineers PDF Author: Stephan S. Jones
Publisher: CRC Press
ISBN: 1000733653
Category : Computers
Languages : en
Pages : 148

Book Description
The next big area within the information and communication technology field is Artificial Intelligence (AI). The industry is moving to automate networks, cloud-based systems (e.g., Salesforce), databases (e.g., Oracle), AWS machine learning (e.g., Amazon Lex), and creating infrastructure that has the ability to adapt in real-time to changes and learn what to anticipate in the future. It is an area of technology that is coming faster and penetrating more areas of business than any other in our history. AI will be used from the C-suite to the distribution warehouse floor. Replete with case studies, this book provides a working knowledge of AI’s current and future capabilities and the impact it will have on every business. It covers everything from healthcare to warehousing, banking, finance and education. It is essential reading for anyone involved in industry.

Ultimate Salesforce Data Cloud for Customer Experience

Ultimate Salesforce Data Cloud for Customer Experience PDF Author: Gourab Mukherjee
Publisher: eBook Partnership
ISBN: 8119416775
Category : Computers
Languages : en
Pages : 258

Book Description
Become a Salesforce Data Cloud implementation expert. Book Description Survival in today's business landscape hinges on delivering exceptional customer experiences, and Customer Data Platforms (CDPs) are pivotal in achieving this goal. The ‘Ultimate Salesforce Data Cloud for Customer Experience' is your indispensable guide to unraveling the Salesforce ecosystem, illuminating its applications' significance in diverse business scenarios. Dive into the transformative potential of Customer Data Platforms, understanding their role in unlocking tremendous value for enterprises. Explore the prowess of Salesforce Data Cloud, a leading CDP platform, and gain practical insights into its seamless implementation. The book explores Salesforce Data Cloud architecture, gaining actionable insights for implementing both Customer Data Platforms and Salesforce Data Cloud. It will navigate the pivotal realms of data security and privacy, establishing a sturdy foundation for customer-centric strategies. The book also covers success stories that showcase the transformative outcomes achieved through the utilization of Salesforce Data Cloud. The end of the book serves as a roadmap for those aspiring to conquer the Salesforce Data Cloud Consultant exam. Table of Contents 1. Introducing Salesforce Platform 2. Introduction to Customer Data Platform 3. Going beyond CDP: Salesforce Data Cloud 4. Salesforce Data Cloud Architecture 5. Implementing a Customer Data Platform 6. Implementing Salesforce Customer Data Cloud 7. Data Security and Privacy 8. Success Stories with Salesforce Data Cloud 9. The Way Forward for Creating Great Customer Experiences 10. Preparation for the Salesforce Data Cloud Consultant Exam Index

Learning Tableau 2022

Learning Tableau 2022 PDF Author: Joshua N. Milligan
Publisher: Packt Publishing Ltd
ISBN: 1801079641
Category : Computers
Languages : en
Pages : 569

Book Description
Now in color, this edition of Learning Tableau will empower you to bring data to life and make better business decisions. Purchase of the print or Kindle book includes a free eBook in PDF format. Key FeaturesLearn the basics of data analysis, from snappy visualizations to comprehensive dashboardsGain meaningful insights with geospatial analysis, scripting extensions, and other advanced methodsExplore the latest Tableau 2022 features, including Einstein Discovery and Explain DataBook Description Learning Tableau 2022 helps you get started with Tableau and data visualization, but it does more than just cover the basic principles. It helps you understand how to analyze and communicate data visually, and articulate data stories using advanced features. This new edition is updated with Tableau's latest features, such as dashboard extensions, Explain Data, and integration with CRM Analytics (Einstein Analytics), which will help you harness the full potential of artificial intelligence (AI) and predictive modeling in Tableau. After an exploration of the core principles, this book will teach you how to use table and level of detail calculations to extend and alter default visualizations, build interactive dashboards, and master the art of telling stories with data. You'll learn about visual statistical analytics and create different types of static and animated visualizations and dashboards for rich user experiences. We then move on to interlinking different data sources with Tableau's Data Model capabilities, along with maps and geospatial visualization. You will further use Tableau Prep Builder's ability to efficiently clean and structure data. By the end of this book, you will be proficient in implementing the powerful features of Tableau 2022 to improve the business intelligence insights you can extract from your data. What you will learnDevelop stunning visualizations to explain complex data with clarityBuild interactive dashboards to drive actionable user insightsExplore Data Model capabilities and interlink data from various sourcesCreate and use calculations to solve problems and enrich your analyticsEnable smart decision-making with data clustering, distribution, and forecastingExtend Tableau's native functionality with extensions, scripts, and AI through CRM Analytics (formerly Einstein Analytics)Leverage Tableau Prep Builder's amazing capabilities for data cleaning and structuringShare your data stories to build a culture of trust and actionWho this book is for This Tableau book is for aspiring BI developers and data analysts, data scientists, researchers, and anyone else who wants to gain a deeper understanding of data through Tableau. This book starts from the ground up, so you won't need any prior experience with Tableau before you dive in, but a full Tableau license (or 14-day demo license) is essential to be able to make use of all the exercises.

Salesforce Lightning Application Development Essentials

Salesforce Lightning Application Development Essentials PDF Author: Mike Topalovich
Publisher:
ISBN: 9781787124677
Category :
Languages : en
Pages : 463

Book Description
Build, design, and style beautiful and informative applications on the Salesforce platformAbout This Book* This practical, hands-on guide will help you to build a multi-platform application from scratch* Make use of JavaScript, HTML, and CSS to build custom components* Create apps visually using the Lightning componentWho This Book Is ForThis book is for existing Visualforce developers who are looking to gain hands-on experience with the new Lightning Experience to build classy Salesforce applications fast. A basic knowledge of HTML, CSS, and JavaScript will help you get through more advanced parts of the book.What you will learn* Understand the vision for a unified Salesforce experience across all devices* Understand the Lightning Component Framework Architecture* See how to build Lightning Components* Know how to style Lightning Components using the Salesforce Lighting Design System* View and edit Salesforce data from Lightning using Apex controllers* Build Lightning Pages using Lightning App Builder* See the Surface Lightning Components in Lightning Experience, Salesforce1, and Salesforce ClassicIn DetailBuilt on the Salesforce App Cloud, the new Lightning Experience combines the three major components: Lightning Design System, Lightning App Builder, and Lightning Components. This book will enable you to quickly and easily create beautiful, modern, enterprise apps with Lightning.We begin by introducing you to the Lightning platform and the three components. You'll understand the vision of a unified Salesforce experience across all browsers and devices with Lightning. You'll work with standard components and build a basic layout for the application, after which you'll learn how to create more advanced custom components using the Lightning Component framework.You'll make use of good old JavaScript to perform client-side rendering on the DOM. Then you'll modify the components to make beautiful UIs for multiple platforms that will fill your app with informative dashboards and make them look professional. Finally, you'll use the Design System to work with Salesforce data and lay out the entire page/application with the components you've built, before testing and debugging your code.

Identifying 25 Different AI Bots

Identifying 25 Different AI Bots PDF Author: Ryan Keeler
Publisher: Ryan Keeler
ISBN:
Category : Computers
Languages : en
Pages : 90

Book Description
The book "Identifying 25 Different A.I.'s & Bots" by Ryan Keeler delves into the ever-expanding universe of artificial intelligence and automated systems, presenting a detailed examination of 25 distinct AI entities that have made a significant impact across various sectors. Published on December 15, 2023, this compendium serves both as an educational resource for those new to the concept of AI and a reference guide for more seasoned enthusiasts. Through a series of detailed profiles, Keeler sheds light on the well-known AI personalities such as Siri, Alexa, and Google Assistant, discussing their functionality, the technology that powers them, and their integration into daily life. He further explores the prowess of IBM's Watson and OpenAI's GPT-3, highlighting their advanced machine learning algorithms and their substantial influence on the fields they're applied to, from healthcare to creative content generation. The author provides insights into the unique features and development of each AI, such as Cortana’s shift from a personal assistant to a more integrated Microsoft 365 application. The narrative takes a turn towards more specialized AIs such as Tesla's Autopilot and DeepMind's AlphaGo, analyzing their specific advancements and the implications for future technology. Keeler does not shy away from discussing the ethical considerations and privacy concerns that accompany the use of these advanced systems. He emphasizes the importance of addressing biases in AI models, ensuring data privacy, and promoting inclusivity in technology adoption. As AI continues to permeate various aspects of our lives, "Identifying 25 Different A.I.'s & Bots" stands as a testament to the transformative power of these technologies. Keeler’s thoughtful exploration provides a vivid glimpse into the potential futures shaped by AI and encourages readers to consider both the benefits and responsibilities that come with this digital cohabitation.