How can Salesforce intelligence make your business more productive and customers happier?
By combining Intelligence with the Sales Cloud, App Cloud, or any other Salesforce system, you can make employees more productive and customers happier. For instance, with machine learning you can do lead scoring based on past sales or create product recommendations based on customer interaction data.
Is machine learning changing the face of business?
These points suggest that while machine learning may be changing the face of business, that face is likely to remain human long into the foreseeable future. On the other hand, the face of AI is getting a makeover, with Salesforce Einstein. Salesforce Einstein is AI for Success.
What is the Salesforce platform?
The Salesforce Platform is a comprehensive, cloud-based platform encompassing all of the tools for building, managing, buying, and optimizing applications.
What is the difference between machine learning and deep learning?
A well-known example of machine learning is predictive recommendations, such as those found on many ecommerce sites and streaming services. Deep learning also does what its name suggests: it goes deeper. Relying on complex mathematical algorithms, deep learning gives AI the ability to learn without being hand fed the relevant data.
Does Salesforce use machine learning?
Salesforce uses Artificial Intelligence With the help of their enormous dataset and machine learning, they could easily predict which customer is more likely to buy a product, hence providing a lead on the potential customers.
Does Salesforce have AI?
Salesforce Einstein is a layer of intelligence within the Salesforce Platform that brings powerful AI technologies to everyone, right where they work. And with the Einstein Platform, admins and developers have a rich set of platform services to build smarter apps and customize AI for their businesses.
Is Einstein AI Salesforce?
Salesforce Einstein is the first comprehensive AI for CRM. It's an integrated set of AI technologies that makes Salesforce Customer 360 smarter and brings AI to trailblazers everywhere.
Is Einstein Salesforce free?
The AI-powered features available in your Salesforce Edition Here are the Einstein features that are included for free in each of our products.
What does Einstein do in Salesforce?
Salesforce Einstein is a set of advanced AI capabilities that help users get smarter insights from their data in order to deliver personalized customer experience, get proactive recommendations for the next best actions, and automate routine tasks.
How does AI work in Salesforce?
Salesforce Einstein integrates AI technology with Salesforce's Software-as-a-Service (SaaS) CRM. It uses data gathered on every user action to provide predictive analytics, natural language processing (NLP) capabilities, and machine learning to Salesforce customers.
What is Tableau Salesforce?
Tableau can help you fully leverage your rich customer data by providing analytics for everyone in your organization. Use Tableau to blend Salesforce data from across the Customer 360 platform with your other business data for increased visibility and a deeper understanding of your customers.
What is Salesforce smart?
Salesforce Administration. SmartERP can manage and administer your Salesforce system easily, – managing users, data and security; managing Salesforce applications; managing reporting and analytics, reports and dashboards, configuration, workflow, and approval processes.
Who uses Salesforce Einstein?
Companies using Salesforce Einstein Analytics for Artificial Intelligence Marketing include: McKesson Corporation, a United States based Healthcare organisation with 70000 employees and revenues of $231.05 billion, Mercedes-Benz Group, a Germany based Automotive organisation with 172425 employees and revenues of ...
Is Salesforce an analytics tool?
Salesforce markets the tool as an “AI-powered advanced analytics” solution that includes reports and dashboards, graphs, and other data visualization opportunities to help you make sense of how users are using Salesforce.
Is Wave analytics and Einstein analytics the same?
Salesforce Einstein Analytics is a product of Salesforce and a cloud-based platform. It is a rebranded analytics tool formerly known as Wave Analytics. Einstein Analytics is used for data exploration, visualization, and getting insights for business.
What is Salesforce analytics?
Salesforce Wave Analytics, also called Analytics Cloud, is a business intelligence (BI) platform from Salesforce.com that is optimized for mobile access and data visualization. The Wave mobile app allows users to work with large data files and create graphs, charts and other pictorial representations of data from them.
Multitenancy, Integration, Metadata
- Before diving into ML Lake’s internals and architecture, it is important to introduce the functional and non-functional requirements that inspired us to build it. Salesforce is a cloud enterprise company that offers vertical solutions in areas such as Sales, Service and Marketing, as well as general-purpose low-code/no-code platform capabilities. T...
Architecture
- ML Lake is deployed in multiple AWS regions as a shared service for use by internal Salesforce teams and applications running in a variety of stacks in both public cloud providers and Salesforce’s own data centers. It exposes a set of OpenAPI-based interfaces running in a Spring Boot-based Java microservice. It uses Postgres to store application state and metadata. Data fo…
Data Lake
- AWS S3 was chosen as the backing store for ML Lake’s data lake for its resiliency, cost-effectiveness, and ease of integration with data processing engines. It houses datasets containing customer data from different parts of Salesforce, non-customer data, such as public datasets containing word embeddings, as well as data generated and uploaded by internal mach…
Pipelines
- ML Lake uses the term “pipelines” for jobs bringing data in and out of it. The pipeline capabilities provided by ML Lake are controlled via a set of APIs exposed to internal applications. The APIs control bi-directional data movement of raw feature data into ML Lake, as well predictions and related data back to customer-facing systems in Salesforce, while hiding the complexity behind …
Data Catalog
- Data lake is a common industry approach to storing large volumes of disparate data, and allowing varied types of access to it without over-optimizing for specific access patterns up front. While data lakes allow flexibility and freedom, an ungoverned data lake often becomes a “data graveyard.” For ML Lake, it is important to track and catalog the data stored inside for the followi…
Next Steps
- What are we working on now? We are hardly done on the journey of providing the best-of-breed data platform for machine learning. Here are some highlights of what we are working on now: 1. Feature Store — Exciting innovation is happening in the industry in the area of feature stores. Feature stores enable the sharing and discoverability of machine learning features across differ…
Success Stories
- ML Lake has been serving production traffic for over a year. Some applications that rely on ML Lake are highlighted below: 1. Einstein Article Recommendations— automatically recommends knowledge articles to customers, saving service agents’ time and increasing customer satisfaction using data from the customer’s past cases. 2. Einstein Reply Recommendations— in…
Acknowledgements
- ML Lake team is: Alex Araujo, Eric Shahkarami, Felipe Olivera, Hanifi Gunes, Indranil Dey, Joshua Sauter, Mamallan Uthaman, Ralf Schundelmeir, Sonia Wu, Thomas Gerber, Tom Chan, Xuehai Bian.
- Many thanks to Leah McGuire and Jan Fernando for early feedback.