Salesforce Launches Einstein 1 Studio: Low-Code AI Tools for Customizing Einstein Copilot and Embedding AI into Any CRM App
2024年3月6日 - 10:00PM
ビジネスワイヤ(英語)
Salesforce admins and developers can now build,
customize, and embed AI across every Salesforce app and workflow,
including Einstein Copilot
Einstein 1 Studio is deeply integrated with
Data Cloud, which unlocks and unifies trapped data and grounds AI
models with a comprehensive understanding of customer data and
metadata
New Trailhead AI courses — including Einstein
Copilot and Prompt Builder — introduce career pathways and skills
for over 6 million Trailblazers on Salesforce’s free online
learning platform
Today at TrailblazerDX, Salesforce’s developer conference,
Salesforce (NYSE: CRM) announced the availability of Einstein 1
Studio, a set of low-code tools that enables Salesforce admins and
developers to customize Einstein Copilot — the conversational AI
assistant for CRM — and seamlessly embed AI across any app for
every customer and employee experience.
Einstein 1 Studio includes Copilot Builder for creating
custom AI actions to accomplish specific business tasks, Prompt
Builder for building and activating custom prompts in the flow
of work, and Model Builder, where users can build or import
a variety of AI models. This enables businesses to deliver trusted
AI experiences across Salesforce’s Einstein 1 Platform that are
tailored to their customers’ needs.
Why it matters: Enterprises face critical challenges in
unlocking the power of AI across their business, with 9 in 10 IT
professionals saying generative AI has forced them to change the
way new technology is implemented and used. They need intuitive
user interfaces that make it easy to interact with AI in the flow
of work; AI models to fit their use cases; and access to trusted
customer and business data to ground the AI models and ensure
accurate, relevant outputs.
Salesforce’s Einstein 1 Platform integrates the user interface,
a variety of AI models, and data in a single metadata-driven
platform. This is what powers Einstein 1 Studio’s tools,
facilitating low-code and no-code customization of Einstein
Copilot, as well as building and modifying embedded prompts and
actions that seamlessly connect to AI models in the flow of work
across every Salesforce app. Einstein 1 Studio is deeply integrated
with Data Cloud, which safely unlocks and unifies trapped data and
grounds AI models with a comprehensive understanding of customers’
data and metadata.
Go deeper with Einstein 1 Studio: Salesforce admins and
developers can use the following new Einstein 1 Studio tools to
build the next generation of AI applications by customizing AI
across every Salesforce app and workflow. This will help companies
boost productivity, improve customer experiences, and increase
margins. The tools include:
- Copilot Builder: Create AI actions to accomplish business
tasks (beta) — Copilot Builder helps every company configure
and customize Einstein Copilot for their business. Salesforce
admins and developers can use tools they already have, like Apex,
Flow, and MuleSoft APIs, and new generative AI components like
prompts, to enable Einstein Copilot to complete tasks in the flow
of work. Einstein Copilot can leverage these custom actions to
complete tasks across any Salesforce application or external
system.
- Prompt Builder: Craft custom and trusted AI prompts with
ease (GA) — Prompt Builder empowers admins and developers to
create custom, reusable AI prompts without coding, simplifying
complex processes and driving business innovation. This not only
broadens the use of generative AI beyond conversational interfaces,
but also allows customers to design and repurpose prompts for use
across other experiences. For example, a custom prompt can be
seamlessly embedded in a contact record as a button, enabling an
agent in the contact center to get a snapshot of all escalated
cases for a customer in one click.
- Model Builder: Choose an LLM or build an AI model based on
the job to be done (GA) — Unlike other solutions that
limit businesses to a single Large Language Model (LLM), Einstein 1
Studio provides the flexibility to connect to a variety of AI
models. Additionally, Model Builder is a no-code, low-code, and
pro-code way for companies to build their own predictive AI models,
trained on their Data Cloud data. For generative AI, Model Builder
allows customers to select from LLMs managed by Salesforce, or
bring their own models. Businesses can use predictive and
generative AI models and services from Salesforce partners,
including Amazon Web Services (AWS) via Amazon Bedrock and Amazon
SageMaker, Anthropic, Azure OpenAI, Cohere, Databricks, Google
Cloud’s Vertex AI, and OpenAI, and train or fine-tune select models
on Data Cloud data without moving or copying data.
Einstein Trust Layer: Deploy AI you can trust, on your
terms: Designed for enterprise AI, the Einstein Trust Layer is
a collection of features that help companies benefit from
generative AI without compromising security or safety standards.
New to the Einstein Trust Layer is customer-configured data
masking, enabling admins to select the fields they want to mask,
providing greater control. Additionally, the audit trail and
feedback data collected from AI prompts and responses is now stored
in Data Cloud, where it can be easily reported on or used for
automated alerts through Flow and other Einstein 1 Platform
tools.
Salesforce perspective: “Customers have always loved how
easy it is to customize Salesforce. Our new Einstein 1 Studio makes
it easy for admins and developers to build and customize Einstein
Copilot and embed AI apps in the flow of work within Salesforce,
tailored to the specific requirements of their company and
industry,” said Clara Shih, CEO of Salesforce AI. "Built on
our Einstein 1 Platform and unified by metadata that safely
connects and unlocks data from across an enterprise, Einstein 1
Studio's low-code tools democratize AI app development, unleashing
a new wave of innovation that will transform workflows and augment
human capabilities across every team and function."
Trailblazers spearhead the AI revolution: New
research shows that IT teams list a "lack of AI skills" as their
top challenge when implementing AI. Building on its library of AI
learning content, Salesforce is launching new Trailhead courses on
Einstein Copilot and Prompt Builder — empowering admins and
developers to sharpen their skills with a focus on AI. More than 6
million Trailblazers have used Trailhead to learn, connect, and
expand their careers and have earned more than 1 million AI badges
since June 2023.
“Developers are taking the reins and steering businesses through
the AI revolution. In just a short time, we’ve seen developers
build and deploy AI in ways that have transformed nearly every
industry,” said Ann Weeby, SVP of Trailhead, Salesforce.
“Trailhead’s mission is to empower the innovators of tomorrow by
offering free access to the skills and career opportunities that
will define the next generation of business and technology.”
Customer perspective:
- “We’ve been eager to tap into the power of generative AI in our
business, but data privacy and security concerns were a blocker
until now with Prompt Builder. It allowed us to safely build
generative AI experiences that save our users precious time, while
still keeping our data secure and inside of our org.” –
Andrew Russo, Salesforce Architect, BACA Systems
- “Prompt Builder allows our team at Carnegie Learning to bring
our CRM data into our prompts easily with no code! This helps us
augment our business processes to cut down on service rep response,
email outreach, and content generation time.” – Marissa
Scalercio, VP of Sales Operations, Carnegie Learning
Pricing:
- Customers can access Einstein 1 Studio by purchasing Einstein 1
Editions or by adding it on to Enterprise or Unlimited Editions.
Detailed pricing information is available here.
Global availability:
- Prompt Builder and Model Builder are now generally available
globally. Copilot Builder is available in beta globally.
- Einstein 1 Studio currently supports data residency in the
United States and the English language.
- Model Builder support for fine-tuning LLMs on Data Cloud data
will be available later this year, starting with Amazon Bedrock,
Google Vertex AI, and OpenAI LLMs.
Get started:
- Discover Einstein Copilot
- Talk to an expert
More information:
- Learn more about Einstein Copilot
- Learn more about Salesforce’s Einstein 1 Platform
- Learn more about Data Cloud
- Learn more about Einstein Copilot on Trailhead
View source
version on businesswire.com: https://www.businesswire.com/news/home/20240306513423/en/
Steve Mnich smnich@salesforce.com
Salesforce (NYSE:CRM)
過去 株価チャート
から 3 2024 まで 4 2024
Salesforce (NYSE:CRM)
過去 株価チャート
から 4 2023 まで 4 2024