Einstein is Artificial Intelligence in the Salesforce Platform. Einstein works smarter in less time. It thinks like humans and gives appropriate predictive results. It uses machine learning language which has algorithms written to make predictions.
Salesforce Einstein: Use Cases and Product Features
#ImpactSalesforceSaturday Session
by @newdelhisfdcdug
Date and Time
Saturday, June 29, 2019
11:30 AM – 12:30 pm
Location: Online
A warm welcome to all the members and Guests in the meetup.
Join us for #ImpactSalesforceSaturday a series of online Salesforce Saturday sessions.
We invite all – Developers – Administrators – Group Leaders – Consultants with advanced, intermediate or beginner level knowledge on Salesforce(Sales Cloud, Service Cloud, Pardot, Marketing Cloud, IOT, CPQ, Einstein, etc).
Speaker: Jayant Joshi
Jayant is a Salesforce Technology Delivery Architect and Manager (Multi-Cloud) working on Large and Mid Size CRM Implementation Projects. Overall, He has around 14 years of CRM delivery experience with 9+ years in Salesforce.com Projects and Opportunities. He is very passionate about emerging technologies and has a deep interest in major innovations around the world. He has 19 Salesforce Certifications and accreditations currently and is passionate about various Salesforce Products including Salesforce Einstein.
Agenda
a. Introduction
b. Salesforce Einstein – Products and Use Cases
c. Q & A
Einstein Analytics allows you to explore all of your data quickly and easily by providing AI-powered advanced analytics, right in Salesforce.
In addition to offering pre-built apps for Sales, Service, and Marketing, the Einstein Analytics Platform gives you the flexibility to build your own custom and intelligent analytics apps.
This slide deck will help you to get a kick start to your Einstein Analytics Journey! Contact me for any help. #SalesforceAnalyticsChampion
Complete Guide To Salesforce Einstein AnalyticsCloud Analogy
Einstein Analytics is a set of out-of-the-box AI technologies that provide a smooth experience to the users while they collaborate on any device. Whether it is about cloning the master dashboard for each story point, explaining insights within the
dashboard, or enhancing interactivity and communication - Einstein
Einstein for Service provides AI capabilities to boost agent productivity and optimize customer service delivery. It includes Einstein Bots for automating common support interactions, Einstein Case Classification to assist agents and accelerate case resolution, and Einstein Next Best Action to deliver recommendations and connect them to automation. The presentation demonstrates how these capabilities work and their benefits. Pricing options are introduced for the Einstein for Service add-on and Einstein Bots.
The document introduces the Salesforce platform and provides an overview of its capabilities. It discusses how the platform can be used to build employee apps, partner apps, and customer apps. It also summarizes several tools on the platform, including Visualforce, Apex, Lightning components, Heroku, and ExactTarget. The presentation aims to demonstrate how the Salesforce platform can support innovation through clicks and code functionality.
Salesforce Sales Cloud services are basically too help the Sales reps and help in managing connections, close the deals, to sell the products and services. The tools, included in Sales cloud are Chatter, Data.com. opportunities and quotes, work process and approval, Forecasting and Analysis, App Exchange, Partner Management, Email and calendaring, Marketing and Leads. Sales Cloud provide following features
Einstein is an AI assistant built into Salesforce that helps users be more productive and customers happier. It powers Salesforce applications with artificial intelligence to automatically provide insights, predictions, recommendations, and automate tasks. Salesforce admins and developers can also build customized AI applications using clicks or code on the Salesforce Platform. The document provides an overview of Einstein's capabilities for sales, service, marketing, and more.
Salesforce Einstein: Use Cases and Product Features
#ImpactSalesforceSaturday Session
by @newdelhisfdcdug
Date and Time
Saturday, June 29, 2019
11:30 AM – 12:30 pm
Location: Online
A warm welcome to all the members and Guests in the meetup.
Join us for #ImpactSalesforceSaturday a series of online Salesforce Saturday sessions.
We invite all – Developers – Administrators – Group Leaders – Consultants with advanced, intermediate or beginner level knowledge on Salesforce(Sales Cloud, Service Cloud, Pardot, Marketing Cloud, IOT, CPQ, Einstein, etc).
Speaker: Jayant Joshi
Jayant is a Salesforce Technology Delivery Architect and Manager (Multi-Cloud) working on Large and Mid Size CRM Implementation Projects. Overall, He has around 14 years of CRM delivery experience with 9+ years in Salesforce.com Projects and Opportunities. He is very passionate about emerging technologies and has a deep interest in major innovations around the world. He has 19 Salesforce Certifications and accreditations currently and is passionate about various Salesforce Products including Salesforce Einstein.
Agenda
a. Introduction
b. Salesforce Einstein – Products and Use Cases
c. Q & A
Einstein Analytics allows you to explore all of your data quickly and easily by providing AI-powered advanced analytics, right in Salesforce.
In addition to offering pre-built apps for Sales, Service, and Marketing, the Einstein Analytics Platform gives you the flexibility to build your own custom and intelligent analytics apps.
This slide deck will help you to get a kick start to your Einstein Analytics Journey! Contact me for any help. #SalesforceAnalyticsChampion
Complete Guide To Salesforce Einstein AnalyticsCloud Analogy
Einstein Analytics is a set of out-of-the-box AI technologies that provide a smooth experience to the users while they collaborate on any device. Whether it is about cloning the master dashboard for each story point, explaining insights within the
dashboard, or enhancing interactivity and communication - Einstein
Einstein for Service provides AI capabilities to boost agent productivity and optimize customer service delivery. It includes Einstein Bots for automating common support interactions, Einstein Case Classification to assist agents and accelerate case resolution, and Einstein Next Best Action to deliver recommendations and connect them to automation. The presentation demonstrates how these capabilities work and their benefits. Pricing options are introduced for the Einstein for Service add-on and Einstein Bots.
The document introduces the Salesforce platform and provides an overview of its capabilities. It discusses how the platform can be used to build employee apps, partner apps, and customer apps. It also summarizes several tools on the platform, including Visualforce, Apex, Lightning components, Heroku, and ExactTarget. The presentation aims to demonstrate how the Salesforce platform can support innovation through clicks and code functionality.
Salesforce Sales Cloud services are basically too help the Sales reps and help in managing connections, close the deals, to sell the products and services. The tools, included in Sales cloud are Chatter, Data.com. opportunities and quotes, work process and approval, Forecasting and Analysis, App Exchange, Partner Management, Email and calendaring, Marketing and Leads. Sales Cloud provide following features
Einstein is an AI assistant built into Salesforce that helps users be more productive and customers happier. It powers Salesforce applications with artificial intelligence to automatically provide insights, predictions, recommendations, and automate tasks. Salesforce admins and developers can also build customized AI applications using clicks or code on the Salesforce Platform. The document provides an overview of Einstein's capabilities for sales, service, marketing, and more.
Salesforce Training For Beginners | Salesforce Tutorial | Salesforce Training...Edureka!
This Salesforce Training tutorial is all you need to learn about Salesforce. It is ideal for both beginners and professionals who want to understand the various Salesforce cloud services. Below are topics covered in this tutorial:
1. Why is Salesforce popular & in-demand?
2. Advantages: On-premise vs. Cloud
3. Where does Salesforce fit in the cloud model?
4. Various Salesforce Cloud Services
5. Salesforce architecture
6. Demo: Sales Cloud & Service Cloud
Salesforce Service Cloud is a customer relationship management platform for customer service and support. It allows companies to manage customer requests across channels like email, phone, social media, and live chat. Key features include case management, entitlements, knowledge base, service console, and multi-channel support. However, there are limitations such as email and web-to-case limits, file transfer restrictions in live chat, and feature gaps in lower editions.
Get a comprehensive guide about Salesforce and its benefits and understand how Salesforce helps you serve customers more efficiently, leading to better business.
Salesforce Sales Cloud: Best Practices to Win More DealsCloud Analogy
Salesforce Sales Cloud includes a variety of services and products that help salespeople close more deals and develop stronger customer connections. Check out this presentation for more details on Sales Cloud.
In this slide we explain about the Marketing cloud April 19 Release .
1: Einstein Engagement Frequency
2:Content Builder
3:Email Studio
4:Distributed Marketing
5:Journey Builder
6:Advertising Studio
7:Social Studio
8:Datorama Connector for Marketing Cloud
This document provides an overview of Salesforce and its key features. It describes the different delivery models for Salesforce including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). It also defines private and public clouds and describes a hybrid cloud model. The rest of the document outlines the main tabs and record types in Salesforce including contacts, accounts, opportunities, products, and reports.
This document provides an overview of Salesforce Communities including:
- Communities allow internal and external users to connect and collaborate through common goals and sharing information.
- Examples of communities include customer support, partner, employee, and project management communities.
- Key features of communities include unified platforms, collaboration, customization, and mobile access.
- The document reviews the differences between communities and older portal features, and provides steps for setting up and customizing new communities.
Einstein Function is an intelligent CRM system that helps build apps, streamline business processes and workflows for every function & industry.
Let's understand what Einstein Bot acts like and how it operates.
This document provides an overview of Salesforce Einstein and its capabilities for sales teams. It begins with a brief introduction to artificial intelligence and how Einstein works using machine learning, natural language processing, and deep learning. It then discusses the Salesforce Einstein platform and how it leverages metadata to deliver customized AI for each customer. The bulk of the document focuses on the capabilities within Sales Cloud Einstein, including opportunity and lead scoring, opportunity and account insights, activity capture, automated contacts, and forecasting. It provides examples of how these features work and the benefits customers have experienced by using Einstein to sell smarter.
An in-depth virtual session on Einstein Analytics on the Belgian Salesforce Administrators user group. What is Einstein Analytics, how does it compare to standard Salesforce Reports & Dashboards, an in-depth demo and how do you quickstart your knowledge on EA.
Salesforce App Cloud provides a trusted, connected platform for building connected apps fast. It allows developers to build apps across multiple layers using a single identity and data model. The platform offers point-and-click configuration for rapid development as well as programming capabilities for advanced functionality. Leading companies use App Cloud to deliver apps for every department, including HR, marketing, operations, and more.
This document summarizes a presentation about Sales Cloud best practices and new features. It discusses five best practices for sales teams: prospecting, growing accounts, managing opportunities, closing deals, and analyzing results. It also highlights new features in Sales Cloud like collaborative forecasting, opportunity splits, mobile access, analytics dashboards, and over 50 new features in the last year. Customer case studies show improvements in key metrics like increased sales, higher conversion rates, and better productivity.
Salesforce is a leading cloud-based customer relationship management tool that was founded in 1999. It provides platforms like Sales Cloud, Service Cloud, and Collaboration Cloud to help businesses manage relationships with customers and close more deals. Salesforce offers an easy-to-use and affordable CRM solution that is accessible via the web and allows customization through applications on the AppExchange. It has over 100,000 customers and 2 million users worldwide.
The document provides an overview of Salesforce's platform and how it enables companies to become customer-centric. It highlights key capabilities including connecting customers in new ways, running a business from mobile, building personalized journeys, and gaining insights from customer data. Case studies show how companies have driven improvements in metrics like revenue, customer satisfaction, and productivity by connecting employees, partners, and customers on the Salesforce platform.
A Comprehensive Guide to Salesforce Field Service Cloud Analogy
Salesforce Field Service Lightning (FSL), one of the finest products for field workers and technicians within the Salesforce CRM. You will get to know about all the details related to Salesforce Field Service in these slides.
Salesforce Tableau CRM AKA Einstein Analytics helps customers to get predictive analysis of their data, scattered over multiple systems at one platform
Salesforce is a cloud-based customer relationship management (CRM) system that allows nonprofits to track constituents such as donors, volunteers, and program participants. Over 20,000 nonprofits in the U.S. use Salesforce. The Nonprofit Starter Pack is a free app that customizes Salesforce for nonprofits by allowing them to track things like donors, volunteers, relationships, and recurring donations. Implementing Salesforce helps nonprofits manage data more effectively, meet reporting requirements, improve efficiencies, and break down silos within the organization.
Why is Org Strategy important, what are the possible org patterns and what are some of the benefits and challenges to consider? This 12-page long white paper describes different org existence models, trade-offs, design best practices, and assessment approach. Please leave your comments.
Smarter businesses process mean growing business, isn't it?
Learn how to make every part of your business smarter enabling #Intelligence with Salesforce Einstein with our webinar.
1. Getting introduced to AI and Salesforce Einstein
2. AI for smarter business
3. How to use Salesforce Einstein Artificial Intelligence
and much more...
Ask our experts Devarshi Choksi and Priyanka Lakhani how to work out with defined strategies and actionable insights to get the right deliverables.
For more info visit https://www.aimdek.com/
The document provides an overview of Einstein Prediction Builder and how it can be used to create predictive models on Salesforce data. It discusses how Prediction Builder leverages AI at Salesforce to build models using customer data and the Salesforce platform. It then walks through the steps to set up a prediction model using invoice payment timeliness as an example, including selecting the object, fields, and configuration options. The document aims to demonstrate how Prediction Builder can be used to generate predictions that are then stored and viewed as scores on Salesforce records.
Salesforce Training For Beginners | Salesforce Tutorial | Salesforce Training...Edureka!
This Salesforce Training tutorial is all you need to learn about Salesforce. It is ideal for both beginners and professionals who want to understand the various Salesforce cloud services. Below are topics covered in this tutorial:
1. Why is Salesforce popular & in-demand?
2. Advantages: On-premise vs. Cloud
3. Where does Salesforce fit in the cloud model?
4. Various Salesforce Cloud Services
5. Salesforce architecture
6. Demo: Sales Cloud & Service Cloud
Salesforce Service Cloud is a customer relationship management platform for customer service and support. It allows companies to manage customer requests across channels like email, phone, social media, and live chat. Key features include case management, entitlements, knowledge base, service console, and multi-channel support. However, there are limitations such as email and web-to-case limits, file transfer restrictions in live chat, and feature gaps in lower editions.
Get a comprehensive guide about Salesforce and its benefits and understand how Salesforce helps you serve customers more efficiently, leading to better business.
Salesforce Sales Cloud: Best Practices to Win More DealsCloud Analogy
Salesforce Sales Cloud includes a variety of services and products that help salespeople close more deals and develop stronger customer connections. Check out this presentation for more details on Sales Cloud.
In this slide we explain about the Marketing cloud April 19 Release .
1: Einstein Engagement Frequency
2:Content Builder
3:Email Studio
4:Distributed Marketing
5:Journey Builder
6:Advertising Studio
7:Social Studio
8:Datorama Connector for Marketing Cloud
This document provides an overview of Salesforce and its key features. It describes the different delivery models for Salesforce including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). It also defines private and public clouds and describes a hybrid cloud model. The rest of the document outlines the main tabs and record types in Salesforce including contacts, accounts, opportunities, products, and reports.
This document provides an overview of Salesforce Communities including:
- Communities allow internal and external users to connect and collaborate through common goals and sharing information.
- Examples of communities include customer support, partner, employee, and project management communities.
- Key features of communities include unified platforms, collaboration, customization, and mobile access.
- The document reviews the differences between communities and older portal features, and provides steps for setting up and customizing new communities.
Einstein Function is an intelligent CRM system that helps build apps, streamline business processes and workflows for every function & industry.
Let's understand what Einstein Bot acts like and how it operates.
This document provides an overview of Salesforce Einstein and its capabilities for sales teams. It begins with a brief introduction to artificial intelligence and how Einstein works using machine learning, natural language processing, and deep learning. It then discusses the Salesforce Einstein platform and how it leverages metadata to deliver customized AI for each customer. The bulk of the document focuses on the capabilities within Sales Cloud Einstein, including opportunity and lead scoring, opportunity and account insights, activity capture, automated contacts, and forecasting. It provides examples of how these features work and the benefits customers have experienced by using Einstein to sell smarter.
An in-depth virtual session on Einstein Analytics on the Belgian Salesforce Administrators user group. What is Einstein Analytics, how does it compare to standard Salesforce Reports & Dashboards, an in-depth demo and how do you quickstart your knowledge on EA.
Salesforce App Cloud provides a trusted, connected platform for building connected apps fast. It allows developers to build apps across multiple layers using a single identity and data model. The platform offers point-and-click configuration for rapid development as well as programming capabilities for advanced functionality. Leading companies use App Cloud to deliver apps for every department, including HR, marketing, operations, and more.
This document summarizes a presentation about Sales Cloud best practices and new features. It discusses five best practices for sales teams: prospecting, growing accounts, managing opportunities, closing deals, and analyzing results. It also highlights new features in Sales Cloud like collaborative forecasting, opportunity splits, mobile access, analytics dashboards, and over 50 new features in the last year. Customer case studies show improvements in key metrics like increased sales, higher conversion rates, and better productivity.
Salesforce is a leading cloud-based customer relationship management tool that was founded in 1999. It provides platforms like Sales Cloud, Service Cloud, and Collaboration Cloud to help businesses manage relationships with customers and close more deals. Salesforce offers an easy-to-use and affordable CRM solution that is accessible via the web and allows customization through applications on the AppExchange. It has over 100,000 customers and 2 million users worldwide.
The document provides an overview of Salesforce's platform and how it enables companies to become customer-centric. It highlights key capabilities including connecting customers in new ways, running a business from mobile, building personalized journeys, and gaining insights from customer data. Case studies show how companies have driven improvements in metrics like revenue, customer satisfaction, and productivity by connecting employees, partners, and customers on the Salesforce platform.
A Comprehensive Guide to Salesforce Field Service Cloud Analogy
Salesforce Field Service Lightning (FSL), one of the finest products for field workers and technicians within the Salesforce CRM. You will get to know about all the details related to Salesforce Field Service in these slides.
Salesforce Tableau CRM AKA Einstein Analytics helps customers to get predictive analysis of their data, scattered over multiple systems at one platform
Salesforce is a cloud-based customer relationship management (CRM) system that allows nonprofits to track constituents such as donors, volunteers, and program participants. Over 20,000 nonprofits in the U.S. use Salesforce. The Nonprofit Starter Pack is a free app that customizes Salesforce for nonprofits by allowing them to track things like donors, volunteers, relationships, and recurring donations. Implementing Salesforce helps nonprofits manage data more effectively, meet reporting requirements, improve efficiencies, and break down silos within the organization.
Why is Org Strategy important, what are the possible org patterns and what are some of the benefits and challenges to consider? This 12-page long white paper describes different org existence models, trade-offs, design best practices, and assessment approach. Please leave your comments.
Smarter businesses process mean growing business, isn't it?
Learn how to make every part of your business smarter enabling #Intelligence with Salesforce Einstein with our webinar.
1. Getting introduced to AI and Salesforce Einstein
2. AI for smarter business
3. How to use Salesforce Einstein Artificial Intelligence
and much more...
Ask our experts Devarshi Choksi and Priyanka Lakhani how to work out with defined strategies and actionable insights to get the right deliverables.
For more info visit https://www.aimdek.com/
The document provides an overview of Einstein Prediction Builder and how it can be used to create predictive models on Salesforce data. It discusses how Prediction Builder leverages AI at Salesforce to build models using customer data and the Salesforce platform. It then walks through the steps to set up a prediction model using invoice payment timeliness as an example, including selecting the object, fields, and configuration options. The document aims to demonstrate how Prediction Builder can be used to generate predictions that are then stored and viewed as scores on Salesforce records.
We invite all – Developers – Administrators – Group Leaders – Consultants with advanced, intermediate or beginner level knowledge on Salesforce(Sales Cloud, Service Cloud, Pardot, Marketing Cloud, IOT, CPQ, Einstein, etc).
Topic: TrailheaDX 2020 Global Gathering (Virtual)
Date and Time: Friday, July 24, 2020, 06:00 PM to 08:00 PM IST(7:30 AM to 9:30 AM CST)
Kelly' s Topic: Boost Your Org’s Security with Multi-Factor Authentication
Speaker: Kelly Walker
Kelly is a Senior Adoption Consultant at Salesforce.
Satya's Topic: TrailheaDX 2020 Highlights
Speaker: Satya Sekhar
Satya is a Senior Developer Evangelist at Salesforce.
Agenda
1. Introduction
2. Kelly Walker’s Session
3. Satya Shekha’s Session
4. Fun way to earn – Certification Vouchers
AI for Customer Service: How to Improve Contact Center Efficiency with Machin...Skyl.ai
About the webinar
It only takes one bad interaction for a customer to abandon a service or product. Businesses are no longer just competing with other companies’ products, they’re competing with a customer’s last service experience. All contact centers worldwide are looking for new and strategic ways to increase operational performance, reduce cost, and still provide high-touch customer experiences that improve customer loyalty and highlight ways to increase revenue and productivity.
Through this webinar, we will understand how AI can augment the effort, focus and problem-solving abilities of human agents so that they can tackle more complex or creative tasks. With an abundance of data from logs, emails, chat, and voice recordings, contact centers can ingest this data to provide contextual customer service at the right time with the right way providing satisfactory customer service and retain the brand value.
What you will learn
- How organizations are building engaging interactions that deliver value to customers
- Best practices to automate AI/ML models
- Demo: How to route customer queries to the right department or professional
Improve Sales Performance with Salesforce Einstein AnalyticsDocmation
Businesses must weigh a number of factors to achieve a high ROI with Salesforce in terms of profits. The first is choosing the right CRM and effectively implementing it.
For more: https://docmation.com/improve-sales-with-salesforce-einstein-analytics/
Moving from an idea to a Minimum Viable Product
A quick introduction to the notion of the MVP – what a Minimum Viable Product is, why you need, and why it is a critical success factor for startups
How to move from a problem to a properly-defined MVP - steps, activity and best practices to follow
the book: https://www.theinnovationmode.com/
The Minimum Viable product and why it is critical for a startup. How to get from an idea to an MVP through a prototype. How to speed up your software prototyping process. Techniques to help you experiment and capture feedback.
As a founder, It is very important to deeply understand the notion of the MVP. You need to use it as part of a method or a framework to help you make better product decisions – and mitigate or avoid known risks. So this definition by Eric Ries, defines the MVP as ‘ …a product with just enough features to satisfy early customers, and to provide feedback’.
Your MVP must solve the problem for your customers; your users should get value out of it; your MVP should be good enough so the users engage with it and potentially pay for it;
Your early customers should be so happy with your product to act as promoters – to recommend it to others and publicly share positive feedback.
https://www.theinnovationmode.com/
This document outlines 5 steps to create effective Einstein Analytics dashboards:
1. Know your audience by understanding their goals, questions, and key performance indicators.
2. Pick the right visualizations to highlight key takeaways and insights.
3. Consider data from multiple sources to enrich the analysis.
4. Create actionable insights by directly linking analytics results to business workflows.
5. Make dashboards accessible on mobile and embed where users already work for contextual insights.
How an AI-backed recommendation system can help increase revenue for your onl...Skyl.ai
This document discusses how AI-backed recommendation systems can increase revenue for online stores. It introduces the speakers and provides an agenda for the webinar. The webinar will include a live demo of a product recommendation system using machine learning. It will discuss how e-commerce giants use these systems to drive sales and improve customer experience. It will also cover how to quickly overcome challenges in building ML models. Attendees will have a chance to ask questions during a Q&A session.
We offer data analytics consulting, holistic data analytics transformation, and 1-hour analytics consultations in Raleigh, Apex, and Charlotte. Call us today.
This document summarizes the journey of SalesStash, a startup developing tools to help sales teams. It describes:
1) Their initial focus on automating slide creation which they learned did not address the biggest pain points.
2) After customer interviews, they pivoted to a content management tool that matches sales decks with third-party content using machine learning.
3) The document outlines their plans to disrupt the market research industry in three phases, growing revenue from $1M to $10M by focusing on the biggest pain points of sales teams.
Mark Geene, CEO/Co-founder of Cloud Elements, presented "Lean Product Development" at Fort Collins Startup Week 2014. Check out the presentation for information on how to build a Lean startup. Based on principles from 'Lean Startup' by Eric Ries, 'Running Lean' by Ash Maurya and '500 Startups' by Dave McClure.
This document discusses how companies can address skills shortages by creating an intelligent workplace that enhances employee proficiency. It recommends focusing on proficiency over efficiency by giving employees access to insights from across a company's information systems. An intelligent workplace powered by intelligent search can index all this disparate information, understand employee contexts, and deliver relevant insights proactively. It explains how to design such a workplace with intelligent search by putting all information at employees' fingertips, delivering contextual insights, integrating knowledge sharing into workflows, and using analytics and machine learning to provide predictive insights.
Platform approach to scaling machine learning across the enterpriseOlalekan Fuad Elesin
We will walk through how we are scaling and democratizing the development of intelligent products based on AI with a platform approach. From the culture needed to shape this mindset, to execution which resulted into reducing the time it takes to productionize machine learning by 50%. We will discuss how we leveraged product mindset, coupled with data, to enable data scientists to be 50% more productive, while scaling the knowledge across our internal builder community.
How AI will impact Web and Social Media Intelligence - Uljan Sharka (Crystal.io)Data Driven Innovation
crystal is an all-in-one digital marketing platform that provides insights, automation, collaboration and reporting tools powered by artificial intelligence. It aims to save users time on daily data analysis, content and campaign creation by answering questions through a virtual advisor and providing predictive analytics. Key features include campaign automation, smart content publishing, listening and social customer relationship management, digital reports and team collaboration. It is available in different pricing plans for individuals, companies and enterprises.
test - Future of Ecommerce: How to Improve the Online Shopping Experience Usi...Skyl.ai
About the webinar
It’s no secret that a well-organized product catalog becomes extremely crucial as consumers look for a more rich and consistent online experience while E-shopping. Often, the task of digitizing the catalog of the fast-moving and large volume products becomes daunting due to insufficient, erroneous and fragmented data.
This leads us to the question: If E-commerce and fashion companies need to be agile and consumer-friendly, then why are so many still using the same product catalog management methods that were devised years ago? The manual product classification and data attribution process are only leading to an increased risk of error and time delay affecting the brand reputation. Also, leading to lost sales opportunities due to incomplete or inaccurate product records that don’t really reflect the actual product.
In this webinar, we will discuss how to efficiently manage machine learning projects without tech headaches by plugging in your data and building your models instantly.
What you'll learn
- How E-commerce companies are using AI to drive more sales and seamless customer experience
- Know the secret sauce of automating time-intensive, repetitive steps to quickly build models
- Demo: A deeper understanding of the end-to-end machine learning workflow for a fashion product catalog management using Skyl.ai
A Comprehensive Guide to Salesforce Einstein Analytics.pdfAwsQuality
Salesforce Einstein Analytics, formerly known as Salesforce Wave Analytics, is an advanced business intelligence and analytics platform designed to revolutionize the way organizations make data-driven decisions. With its AI-powered capabilities, Einstein Analytics empowers businesses to gain valuable insights from their data, enabling them to drive growth, enhance customer experiences, and optimize operations.
Know more here: https://www.awsquality.com/a-comprehensive-guide-to-salesforce-einstein-analytics/
A Marketing automation platform that uses machine learning algorithms that collects behavioral and nominal data (clicks, weblogs, POS, CRM) for each customer, website visitor, or prospect and automate triggered content via keywords scoring for each product or service in relation to each customer.
Similar to Salesforce Einstein - Everything You Need To Know (20)
Salesforce summer 18 release notes highlights by thinqloudThinqloud
The document provides an overview of new features and updates across the Salesforce platform, including Lightning Experience, Sales Cloud, Service Cloud, Communities Cloud, Marketing Cloud, and Einstein Analytics. Key updates include enhanced Lightning Experience adoption tools, GDPR guidance, improved forecasting and lead scoring in Sales Cloud, skills-based routing and guided engagement in Service Cloud, gamification in Communities, and responsive layouts in Marketing Cloud.
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Thinqloud team conducted a session where everyone prepared a presentation about Spring 18 Release Highlights and shared knowledge . This is summary from everyone's presentations.
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Jina Chetia, Director & Principal @ Thinqloud, connected virtually with Salesforce enthusiasts at Jaipur Women in Tech Meetup and shared her experience and key takeaways from Dreamforce 2017, the largest software conference on the planet.
What Is Salesforce CRM, Editions, Licenses?Thinqloud
Salesforce is the world's #1 customer relationship management platform that provides cloud-based solutions for sales, service, marketing, collaboration, analytics, and building custom mobile apps. It offers various editions for different organization needs like Developer, Professional, Enterprise, and Unlimited editions. Users need specific Salesforce licenses based on their roles that provide different levels of access and functionality at varying price points like Standard, Chatter, Communities, and Portal licenses.
The document summarizes new features and enhancements in the Summer '17 release of Salesforce, including:
1) Customization improvements like optimizing Apex and Visualforce usage. New features for Flows and Process Builder like support for encrypted fields.
2) A new Time field type and ability to dynamically update Flow screen fields based on user input.
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4) New capabilities for Salesforce DX, Lightning Data Service, and accessing metadata from Apex.
The document summarizes new features for Salesforce Sales Cloud, Service Cloud, Marketing Cloud, Community Cloud, and Lightning platform. Key features include predictive lead scoring, Kanban views for records, Lightning Voice, enhanced charts in Salesforce1, and custom left-hand navigation in Sales Cloud. For Service Cloud, features involve Lightning Open CTI, personalized service through Instagram, and Field Service Lightning for Communities. Marketing Cloud highlights include predictive journeys, email capabilities, and Command Center dashboards. Community Cloud and Lightning platform improvements focus on moderation, themes, dashboards, and customization options.
The document provides helpful tips and tricks for using Salesforce Lightning including:
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The document provides an overview of the data migration process. It discusses the key steps which include discovering the source and target systems, mapping data fields between the systems, extracting and transforming the data, loading it into a staging system, and then loading it into the target system. It also discusses verifying the data and common tools used for data migration projects.
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Digital Marketing Automation with Salesforce Marketing CloudThinqloud
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Learn about the various amazing fundraising applications built on top of Salesforce Platform. Applications that address the limitations of NPSP and help exceed the Fundraising goals of NonProfits. Explore the applications, its features and see what suits you best !!
ZAP is an open-source web application security scanner that can identify security vulnerabilities. It works as a proxy to intercept web traffic and modify requests during security tests. Key features include automated scanning, fuzzing, and generating reports with risk levels. The document provides steps to install ZAP, configure certificates to allow HTTPS scanning, and use ZAP to analyze a Salesforce org or other web application for issues like exposed session IDs or missing security headers.
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2. Fundamentals
of Einstein
Einstein is Artificial Intelligence in the
Salesforce Platform.
2
Einstein works smarter in less time. It thinks
like humans and gives appropriate predictive
results. It uses machine learning language
which has algorithms written to make
predictions.
3. What makes
Einstein different?
LEARNS FROM THE DATA
-Einstein is a series of events
to collect, discover, classify,
automate, recommend and
predict.
-The user just has to collect
the data and push it to Einstein
3
BUILT-IN FUNCTIONALITIES
& API
-Einstein provides built in
functionalities as well as API
to be consume from anywhere
and make predictions.
-It is easy to use and powerful
to work and secure to trust
5. Einstein
has been introduced in Salesforce clouds, making
them smarter to help customers, sales team,
marketing team as well as developers.
5
1. Sales Cloud Einstein
2. Marketing Cloud Einstein
3. Community Cloud Einstein
4. Service Cloud Einstein
6. 6
1. Sales Cloud Einstein
2. Marketing Cloud Einstein
3. Community Cloud Einstein
4. Service Cloud Einstein
● Increase the productivity of Sales team
● Recommends the best leads and
opportunities
Einstein Activity capture
- Connect email & calendar with Salesforce
Einstein Lead Scoring
- Recommend the best leads to the Sales team
Einstein Opportunity Insights
- Provide updates about opportunities
7. 7
1. Sales Cloud Einstein
2. Marketing Cloud Einstein
3. Community Cloud Einstein
4. Service Cloud Einstein
● Increase the productivity of Sales team
● Recommends the best leads and
opportunities
Einstein Account Insights
- Inform factors which affects customer
relationship with respect to business development
Einstein Automated Contacts
- Log customer data automatically
Einstein Reports and Dashboards
8. 8
1. Sales Cloud Einstein
2. Marketing Cloud Einstein
3. Community Cloud Einstein
4. Service Cloud Einstein
● AI help marketers to fulfil the
customer’s expectation.
Einstein Recommendation
- Recommend the best product, content, or
offer for each customer
Einstein Sentiment Insights ( Social Studio )
- Analyze the strength and sentiments for
better customer conversion
Einstein Language Insights (Social Studio)
- Detects and classify the language of the post
Einstein Spam Detection Insights (Social Studio)
- Identify and block spam sites
Einstein Post Classification (Social Studio)
- Classify & route the customer’s social posts
to right team
9. 9
1. Sales Cloud Einstein
2. Marketing Cloud Einstein
3. Community Cloud Einstein
4. Service Cloud Einstein
● It help to the community members by
providing needful service to them.
Einstein Self-Service
- Help community members to find answers faster
Einstein Personalized Recommendations
- Recommend interest based files, records and
groups to follow
Einstein Business Insights
- Recommendation by analyzing the keyword and
topic phrases
10. 10
1. Sales Cloud Einstein
2. Marketing Cloud Einstein
3. Community Cloud Einstein
4. Service Cloud Einstein
● Provide solutions to the customers
Resolve customer issues
- Recommend solution to customer as per
their query
Deliver the right answer to the customer
- Quick answers to customer's questions using case
content and history
Empower your team with insights about
case resolution times
- Prioritizing the cases based on time needed and
to resolve it
11. We hope this helps you understand different
Salesforce Einstein features.
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