As a co-founder of 1t.org and proud supporter of the trillion trees movement, Salesforce committed to fund the conservation, restoration, and reforestation of 100 million trees by 2030. 

In its fourth year of working toward that goal, Salesforce asked Environmental Resources Management (ERM) to conduct an independent mid-term evaluation of its 29 largest tree projects across 13 countries. While Salesforce is more than halfway to its goal — funding 52 million trees to date — the report confirmed the loss of an estimated 10% of trees funded, largely due to insufficient site planning and extreme weather. 

Why it matters: Independent evaluations like the one Salesforce underwent are critical for driving accountability and for adapting reforestation and conservation strategies over time to maximize positive impact. Nature is in constant flux, and trees are part of dynamic ecosystems that are impacted by weather events, animals, and human activities. 

About the audit: ERM conducted the evaluation by leveraging a combination of technology and field visits. They analyzed extensive drone footage from project sites and thousands of satellite images of the highest available non-military resolution for projects where results may have been inconclusive. They then deployed field teams to four locations where more in-depth data was needed. The team conducted interviews with project partners and stakeholders about the progress of forest projects, including the impact on the community, biodiversity, and the climate. 

Dive deeper: The audit uncovered several best practices as part of this work, many of which Salesforce has leveraged since the program’s launch.

Salesforce perspective: “It will take collective action on a global scale to conserve and restore our forests,” said Tim Christophersen, Vice President of Climate Action at Salesforce, and member of the Advisory Board of the United Nations Decade on Ecosystem Restoration. “By undergoing this evaluation — and publishing key findings – we aim to support the broader ecosystem of governments, companies, NGOs, and individuals involved in the trillion trees movement. Together, we can meet our global climate and nature goals.”

By undergoing this evaluation — and publishing key findings – we aim to support the broader ecosystem of governments, companies, NGOs, and individuals involved in the trillion trees movement. Together, we can meet our global climate and nature goals.

Tim Christophersen, Vice President of Climate Action at Salesforce, and member of the Advisory Board of the United Nations Decade on Ecosystem Restoration

Industry perspective:

What’s next:

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MuleSoft today announced the open beta for AsyncAPI support in Anypoint Platform to facilitate the adoption of event-driven architectures (EDAs). This allows businesses to develop end-to-end integrations for event-driven applications, enabling systems to process and respond to real-time events efficiently. The new capabilities help organizations easily bring real-time customer interactions across various applications and systems by simplifying the complexity of connecting with popular event brokers and message queues.

EDAs can unlock new AI use cases by bringing real-time communication to systems or processes that contain fluctuating data sets, such as predictive maintenance, dynamic pricing, or fraud detection. For example, banks can use AI models to analyze transactional data and user behavior patterns to identify suspicious activities and trigger immediate responses such as transaction blocking or alerts to mitigate fraud risks. 

Unlike other integration platforms with fewer capabilities, MuleSoft seamlessly brings a diverse set of integration capabilities into a single platform, empowering organizations to build APIs for a wide range of use cases, architectural patterns, or protocols —  AsyncAPI, REST, and GraphQL APIs.

Why it matters: Sixty-four percent of consumers expect companies to respond and interact with them in real time, and businesses must build faster communication methods between applications to meet this demand. Creating event-aware applications is essential to achieving this goal, however, traditional approaches to event-driven integration can be complex and time-consuming. By incorporating end-to-end event-driven integration capabilities into their integration platform, MuleSoft is helping organizations rapidly adopt event-driven architectures and deliver real-time customer experiences. 

What’s new: AsyncAPI support in Anypoint Platform allows businesses to take advantage of event-driven architectures and build end-to-end, event-driven integrations. The new capabilities enable organizations to support real-time customer experiences by extending their existing architectures to popular event brokers and message queues, such as Kafka and Anypoint MQ. With AsyncAPI support, developers and API architects can: 

Developers can now easily build event-driven applications with MuleSoft IDEs – Anypoint Code Builder (shown above), and Anypoint Studio

This innovation will open up new AI use cases to power customer experiences:

MuleSoft perspective: “In a fast-paced digital world, event-driven architectures are becoming ubiquitous by enabling real-time communication, resilient applications, and agile application networks. With AsyncAPI support, our customers can easily develop robust, interoperable event-driven applications while fostering collaboration and consistency. At MuleSoft, we embrace this standard to help developers rapidly design, catalog, and build event-driven Mule apps.” – Andrew Comstock, VP of Product Management

With AsyncAPI support, our customers can easily develop robust, interoperable event-driven applications while fostering collaboration and consistency. At MuleSoft, we embrace this standard to help developers rapidly design, catalog, and build event-driven Mule apps.

Andrew Comstock, VP of Product Management

Customer perspective: “With the addition of AsyncAPI support, adoption of EDA in Mulesoft has never been simpler. This enhancement allows us to easily integrate and manage real-time events across various systems and applications, streamlining our processes and boosting our operational efficiency.” – Manoj Venkatraman, Integration Lead, Clarks

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Any unreleased services or features referenced here are not currently available and may not be delivered on time or at all. Customers should make their purchase decisions based upon features that are currently available.

Most business leaders expect that every enterprise application will include predictive or generative AI capabilities in the future. However, to truly leverage AI, businesses need to deeply integrate it into their current applications and workflows. The benefits of AI — generating intelligent insights, content, and automation through AI agents — need to happen in the natural flow of work, not as a separate, siloed process. 

MuleSoft’s suite of integration, automation, and API management solutions helps companies build a strategy to fully leverage AI in their organization now and in the future. MuleSoft’s AI-powered composability solution combines an AI-centric methodology with tools that help developers and business teams integrate AI into their applications and workflows via building blocks. 

With AI-powered composability approaches from MuleSoft, companies can:

Here, Param Kahlon, Salesforce EVP and GM of Automation and Integration, goes deeper into how AI-powered composability is crucial for organizations aiming to optimize their use of AI now and in the future.

Q. How can AI-powered composability support companies with their AI transformation?

Composability, or the way individual building blocks can be used to build more intricate systems and applications in a technology stack,​​ empowers organizations to rapidly adopt new standards and technologies because it is inherently flexible. MuleSoft’s platform is designed for customers to build composable architectures — helping them scale and flex as technologies and standards evolve using a diverse set of integration, automation, and API management capabilities.

AI-powered composability is MuleSoft’s solution to help organizations build a foundation for the new AI era. By combining an AI-centric methodology with tools that help developers and business teams create AI-powered applications via building blocks, organizations can combine and customize the assets they need to easily meet any AI requirement for their current and future applications, building a secure and adaptable foundation. 

AI-powered composability is MuleSoft’s solution to help organizations build a foundation for the new AI era.

Param Kahlon, Salesforce EVP and GM of Automation and Integration

Q. How does MuleSoft support building AI-powered experiences?

MuleSoft’s diverse product portfolio includes Anypoint Platform, for integration and API management, Robotic Process Automation (RPA), Intelligent Document Processing (IDP), Composer, and Salesforce Flow. Together, these products provide the foundation for organizations to create AI-enabled apps, manage and secure LLM APIs, and allow AI agents to act on third-party data — all critical steps in building an AI enterprise. And with Salesforce Einstein, we have built AI into our tools for developers and business teams to integrate and automate faster. 

Q. How can customers tap into this AI-powered composability concept?

We have customers across all industries, but let’s look at an automotive manufacturing company that is now selling cars directly to consumers. 

As they navigate this massive shift in their business model, this company sees AI as an opportunity to help differentiate the experiences they’re providing to their new customers. They want an AI-powered experience in driver dashboards, in their mobile apps, and in their web applications. They also want to make sure that their cars are intelligent. 

To collect telemetry data, such as driving behaviors or the state of the engine, the manufacturer can integrate their systems using an API-led methodology. Once the foundation is set, AI-powered composability comes in. They can continue to build reusable building blocks such as APIs, integrations, or AI-powered automation flows and integrate LLMs into their architecture. This, in turn, will enable them to provide intelligent actions such as proactive maintenance alerts to their customers.

In addition, MuleSoft enables organizations to harness the power of AI to automate processes and connect systems faster to help increase worker productivity and help meet increasing customer expectations.

Q. Security is top of mind for organizations. What should they think about when integrating LLMs into their applications? 

Customers are concerned about who gets to see their data and how data access will be monitored and controlled across the organization. And they’re really concerned about data leaving the corporate boundary. Is that data protected? Encrypted? Masked? 

MuleSoft believes LLM APIs need security and governance just like any other API. We have customers using our API gateways (Anypoint Flex Gateway and Mule Gateway) as LLM gateways with custom-made policies to help them secure and manage their APIs. The gateways help manage the data that the LLM APIs are calling, such as encrypting and masking personally identifiable information (PII).

For example, with an API gateway, financial institutions can ensure that data stays within their trusted boundaries by developing a custom policy that checks for sensitive customer information before data is shared with a third-party LLM.

MuleSoft also has built-in governance rulesets that provide automated conformance checks to help support industry-specific and corporate compliance. For example, banks can include a standard procedure for managing LLM APIs to ensure proper user authentication before gaining access to generative AI capabilities.

We also provide monitoring capabilities for the entire API and integration lifecycle, from LLM API governance to AI request tracing. For example, the new Anypoint API Insights allows developers to take action on LMM APIs that don’t meet company conformance requirements, creating a trusted AI foundation on which to build applications. 

Q. How is MuleSoft leveraging AI in its own tools?

We want to make sure that everybody in the organization can speak and communicate in natural language to generate the code to generate integrations, to generate flows — all with prompts. 

As a Salesforce company, MuleSoft has embedded Einstein into our products. Einstein for Anypoint Code Builder (in beta and generally available in August), uses natural language prompts so developers can quickly build integrations, while Einstein for Flow (in pilot and in beta in July) enables Salesforce admins to automate business processes. And, with the recent launch of Intelligent Document Processing (IDP), users can tap Einstein for IDP (in pilot) to extract data from documents such as a driver’s license or invoice. These prompts go through the Einstein Trust Layer to ensure that your data reaches the LLM.

Solutions like these help anyone increase productivity and focus on more value-oriented work. 

Q. How can companies maximize the potential of today’s AI assistants?

To be meaningful, AI assistants need to go beyond just executing a search or answering questions. They need to take action with conversational prompts such as updating an employee record or vacation request, creating an order, or updating a customer’s bill. If implemented correctly, AI should take on the repetitive, mundane tasks that humans do currently.

To be meaningful, AI assistants need to go beyond just executing a search or answering questions. They need to take action with conversational prompts such as updating an employee record or vacation request, creating an order, or updating a customer’s bill.

Param Kahlon, Salesforce EVP and GM of Automation and Integration

MuleSoft technology is helping bring these capabilities to life in Einstein Copilot, Salesforce’s predictive and generative AI assistant. Using APIs and integrations built with MuleSoft Anypoint Platform (coming soon) and Salesforce Flow, Copilot can extend its capabilities to leverage data from third-party systems. This enables Copilot to create actionable workflows and data-rich responses. 

For example, AI agents can create an order in a back-office system to give a credit to the customer or alert a supplier to procure inventory ahead of an urgent order that’s being delivered. This is possible to do in a conversational language because the APIs are available to automate end-to-end business processes. 

As companies look to become an AI enterprise — a company that has transformed its operations by adopting AI technologies that both support and autonomously perform tasks as an extension of their teams — AI-powered composability will be critical to drive AI success now and in the future. 

More information:

Any unreleased services or features referenced here are not currently available and may not be delivered on time or at all. Customers should make their purchase decisions based upon features that are currently available.

Salesforce contributes $200,000 USD to support 1t.org’s new European Chapter and launch a new forest project in France

The initiative aims to bolster forest resilience and biodiversity in Europe

1t.org, a global initiative co-founded by the World Economic Forum and Salesforce aimed at conserving, restoring, and growing one trillion trees by 2030, today announced a new European chapter to accelerate their efforts. Salesforce will donate $100,000 USD to support the expansion, and an additional $100,000 USD to launch a new forest project in France. 

Reforest’Action, a Paris-based B-corp with 15 years of experience in forest restoration, will serve as the Secretariat of the new European Chapter of 1t.org. The Chapter will offer the benefits of 1t.org as a global learning and action platform to companies across the EU and EMEA region.

The new forest project in France will support tree maintenance, care, and long-term planning to help restore and conserve Festigny forest in France’s Marne region. In cooperation with Reforest’Action, the company aims to support the reforestation of nearly 27,000 trees of five different species across more than 12 hectares to create a thriving, resilient, multi-functional forest ecosystem. This is the second forest project Salesforce is supporting in France as part of its global commitment to help conserve and restore 100 million trees by 2030.

“Today’s launch is more than a milestone — it’s a clarion call to Europe’s private sector for climate action and a pledge to preserve our planet’s precious resources,” said Julie Ravillon, Sustainability Lead at Salesforce and Salesforce’s representative on the European Stakeholders Council of 1t.org. “At Salesforce, sustainability is a core value and we are proud to be a co-founder of the trillion trees initiative. The new European Chapter will accelerate the necessary investments into our forests and our future.” 

“We are excited to see continued growth of 1t.org with the launch today of our chapter in Europe, another critical area for forest restoration, and grateful for Salesforce’s continued leadership and support. Our shared vision to conserve, restore, and grow a trillion trees over this decade can only be advanced through the mobilization of the private sector, alongside multi-stakeholder partnerships, innovation, and ecopreneurship on the ground,” said Florian Vernaz, Head of 1t.org at the World Economic Forum.

To mark the occasion, the Salesforce Paris office hosted a launch event, bringing together representatives from the World Economic Forum, Reforest’Action, Bouygues Group, and other participating organizations. Together, they crafted a strategy to fortify ecosystems and safeguard biodiversity across Europe, amid the news that Europe is the fastest-warming continent in the world

The event also featured a presentation of the Festigny forest restoration project, which aims to create a resilient, multi-functional ecosystem in the region. During the presentation, Fanny Epaud, Climate & Biodiversity Solutions Senior Advisor at Reforest’Action, said: “The state of French forests is a reflection of a broader environmental challenge — we need to help them adapt now so that they can continue to perform their many functions over the long term.”

The European chapter’s launch of 1t.org mobilizes vital resources and coordinated efforts to achieve our ambitious goals.

Tim Christophersen, Vice President for Climate Action at Salesforce and Member of the United Nations’ Advisory Board on Ecosystem Restoration

“Forest conservation and restoration are crucial for mitigating climate change and protecting biodiversity,” said Tim Christophersen, Vice President for Climate Action at Salesforce and Member of the United Nations’ Advisory Board on Ecosystem Restoration. “The European chapter’s launch of 1t.org mobilizes vital resources and coordinated efforts to achieve our ambitious goals.” 

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The enhanced Lightning user interface has a modern design with intuitive navigation for improved accessibility and efficiency


Salesforce has rolled out its enhanced Lightning user interface (UI) across both Starter and Pro Suite — all-in-one sales, service, marketing, and commerce solutions that help small and growing businesses get started and scale on the #1 AI CRM. 

Changes to the UI design in Starter and Pro include streamlined navigation, simplified icons, and improved use of colors to prioritize information. These enhancements help customers easily visualize and complete tasks like track sales leads, manage customer service cases, send customer emails, collect direct payments, and more — all from one seamless application.

Here, Kat Holmes, EVP and Chief Design Officer of Salesforce, discusses how the enhanced UI makes it easier, faster, and more accessible for customers to get started and grow with Salesforce.

Q. ​​Why did Salesforce update the Starter and Pro Suite UI?

Starter and Pro Suite bring our most relevant capabilities to customers so everyone can use Salesforce to grow their business. That’s why these updates are so important: We are pushing toward a simple user experience that makes it easy for anyone to get started fast and drive value with Salesforce. 

Our design team works closely with customers on the usability of our products, and that feedback is reflected in these design enhancements. These customers have told us that they want a user interface that is easy to learn, easy to use, and visually appealing. We have built these elements into each facet of the design out-of-the box, so users have easy access to the latest enhancements.

We are also working closely with Salesforce’s engineering team to make sure the design is supported by our underlying platform. This means that customers automatically get access to new updates, which can include design elements, accessibility features, and more. 

The new UI’s intentional use of colors, contrast, space, and icons help make data and the stage of opportunities pop.

Q. What can users look forward to seeing in the UI?

This update isn’t just aesthetic. It’s an improvement to how Salesforce works. We’re pushing our design to organize information to be clear and consistent so users can focus on what matters most, getting work done efficiently. Here are some of my favorite changes:

The home page now features refreshed background colors, updated navigation color, improved fonts, rounded lines and edges — all playing an active role in helping users reduce errors and save time.

Q. Starter and Pro Suite are the first Salesforce solutions to receive the enhanced UI. What is the strategy behind that?

Starter and Pro are designed for small and growing businesses who might not have the resources to hire specialized teams and individuals trained on using Salesforce. 

These customers need to move easily between sales, service, and marketing tasks all in one single user interface. They need the experience to be fast and effective. Starter and Pro Suite customers expect our design to keep up with their pace of work, and they inspire us to raise our bar every day.

Q. What’s been the feedback on the refreshed UI so far?

Customers love the simplified, modern experience, and tell us it’s more approachable. 

Growing businesses want solutions that are both easy to use and powerful — a great UI is how customers will make the most of our great data and AI solutions. This design update is an important step toward that future.

Beyond liking the updated look and feel, customers tell us they feel more empowered and in control. In testing, the clearer UI has led to increased readability and improved productivity. That’s exactly the kind of feedback and results we wanted. We’re thrilled that these updates make our product accessible to more customers, and we look forward to learning how we can help growing businesses thrive.

Growing businesses want solutions that are both easy to use and powerful — a great UI is how customers will make the most of our great data and AI solutions. This design update is an important step toward that future.

Kat Holmes, EVP and Chief Design Officer of Salesforce

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Salesforce today announced that Gartner, Inc. has named Tableau a Leader in the 2024 Magic Quadrant™ for Analytics and Business Intelligence Platforms. This is the 12th consecutive year that Gartner has recognized Tableau as a Leader in the space.

Why it’s important: Eighty percent of business leaders say data is critical for decision-making at their organization, and 79% of analytics and IT leaders are increasing their investment in data analysis and visualization tools.

Innovation in action: For over 20 years, Tableau has focused on democratizing data and analytics, helping anyone make data-driven decisions. 

Tableau also continues to innovate to help everyone become a data person. In the past year, Tableau has introduced over 140 product innovations across cloud, server, and desktop, with a particular focus on leveraging AI and quality data to make trusted insights accessible. 

Gartner’s report notes that Tableau is advancing its technology and commercial flexibility. This is in part due to new capabilities that Tableau has launched, including: 

Zoom out: Tableau’s revenue has doubled since Salesforce acquired the company in 2019, and in fiscal year ‘24, its revenue grew nearly 16% year-over-year.

We are honored to be recognized by Gartner in this distinguished category for the 12th consecutive year.

Ryan Aytay, CEO, Tableau

The Tableau perspective: “We are honored to be recognized by Gartner in this distinguished category for the 12th consecutive year,” said Ryan Aytay, CEO, Tableau. “Our mission is to help everyone see, understand, and act on their data – and we’re making this possible by adding new AI innovations into our core products and introducing free tools. We continue to listen closely to the Tableau DataFam to ensure every product innovation and ecosystem expansion is thoughtfully aligned to make intuitive data experiences for everyone.”

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Gartner Disclaimers:

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select on those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. GARTNER is a registered trademark and service mark, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.

Tableau is recognized as Salesforce (Tableau) in this report.

Salesforce today announced it has been named a Leader in The Forrester Wave™: Commerce Solutions for B2B, Q2 2024 report. Commerce Cloud was recognized with the highest score in the Strategy category of the report, and a score of five (out of five) across 14 criteria, including AI, Vision, Innovation, Roadmap, Partner Ecosystem, Customer Account & Contract Entitlements, and Reporting & Analytics. Salesforce also received the maximum possible score in the Market Presence category.

Why it matters: According to Salesforce research, more than half (53%) of all B2B sales revenue across most industries will be ecommerce-driven by 2026. And as buyer expectations rapidly evolve, being able to deliver a connected experience at every interaction is critical for bottom line growth and retaining loyal buyers.

The Salesforce perspective: “B2B businesses are driving stronger customer relationships and profitable growth with Salesforce Commerce Cloud to power AI, automation, and insights across every buyer touchpoint,” said Michael Affronti, SVP & GM of Commerce Cloud. “Thanks to its trusted AI, integrated Data Cloud, a robust partner ecosystem, and purpose-built functionality for meeting even the most complex buyers needs, Commerce Cloud continues to set the standard for connected commerce and market leadership while helping its customers to thrive.”

Thanks to its trusted AI, integrated Data Cloud, a robust partner ecosystem, and purpose-built functionality for meeting even the most complex buyers needs, Commerce Cloud continues to set the standard for connected commerce and market leadership while helping its customers to thrive.

Michael Affronti, SVP & GM of Commerce Cloud

The Forrester report states:

Additional information:


Salesforce today announced the general availability of Life Sciences Cloud, a platform for pharmaceutical (pharma) and medical technology (medtech) organizations to help personalize patient and healthcare professional (HCP) engagement and streamline clinical operations with data, automation, and trusted AI.

Why it matters: Recruiting candidates is one of the most time-consuming parts of clinical trials, taking up to one-third of each study’s length. Additionally, 80% of trials fail to onboard the required number of patients and have to extend their timelines as a result. After a drug becomes available, keeping patients on therapy is also difficult – one study found that nearly 40% of patients stopped their medication within the first year. AI can help pharma and medtech companies improve efficiency and better support patients and HCPs, whether it’s during clinical trials or staying connected with them. In fact, 86% of leaders in healthcare and life sciences believe leveraging data and AI will be key to their success in the next five years.

Innovation in action: Life Sciences Cloud leverages the Einstein 1 Platform to help provide an AI-powered, end-to-end solution that connects teams across every area of patient and HCP engagement to assist with improving patient enrollment and recruitment processes, trial onboarding, and communication:

Unify clinical and non-clinical information from electronic health records (EHRs), claims databases, and social platforms to create holistic profiles to better understand candidates and patients. With a unified profile, life sciences organizations can generate segments of target populations for specific therapies or clinical trials.  
Quickly determine out-of-pocket costs and financial assistance eligibility for pharmaceuticals and diagnostics – streamlining and automating verification of benefits, which helps improve patient adherence to medications.
Easily access relevant content on the go or offline, from any mobile device or tablet. Use Einstein Copilot to tailor conversations and build compliant presentations with HCPs based on browsing data to accommodate specialties, interests, feedback, and preferences.

Salesforce perspective: “With a backdrop of rising drug costs, frustrated doctors, confused patients, and regulatory scrutiny, life sciences organizations must find ways to do more with less. AI opens the door for pharma and medtech organizations to reimagine their operations while promoting a focus on patients. With these new innovations from Salesforce, life sciences organizations can access the power of predictive and generative AI to make the best use of their data quickly, while helping to automate administrative tasks and identify potential risks in real time.” – Frank Defesche, Senior Vice President and General Manager for Life Sciences

With these new innovations from Salesforce, life sciences organizations can access the power of predictive and generative AI to make the best use of their data quickly, while helping to automate administrative tasks and identify potential risks in real time.

Frank Defesche, Senior Vice President and General Manager for Life Sciences

Customer perspective: 

Availability:

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Any unreleased services or features referenced here are not currently available and may not be delivered on time or at all. Customers should make their purchase decisions based upon features that are currently available.

*Life Sciences Cloud’s sales automation functions for pharma/biotech customers will not be available for sale by Salesforce until after September 2, 2025. Until then, there are other Force.com based solutions that are available to meet the sales automation needs of pharma/biotech companies, such as IQVIA OCE, offered by Salesforce preferred partner IQVIA, or Veeva CRM, offered by the preferred / recommended Force.com provider in this market. Veeva is ending its partnership with SFDC in 2025.

Salesforce today announced three major climate investments to accelerate a just energy transition. The company has joined Frontier, an advance market commitment (AMC) to collectively buy more than $1 billion of permanent carbon removal by 2030. Through this membership, Salesforce will commit $25 million to accelerate, scale, and commercialize the most promising carbon removal technologies.

Salesforce has also contracted with Qualitas Energy, a leading global platform for investment, management, and development of renewable energy, to expand its renewable energy portfolio with a new 27-megawatt (MW) solar portfolio in Italy. This marks the first European virtual power purchase agreement (VPPA) for Salesforce, and will help to uphold the company’s 100% renewable energy commitment1.

Additionally, Salesforce announced $3.95 million in new unrestricted philanthropic grants to seven organizations focused on advancing clean energy solutions.

Why it matters: To avoid the most severe effects of climate change, and ensure critical climate goals stay on track for a 1.5-degree future, it will not be sufficient to reduce emissions. 

Dive deeper:

Salesforce champions the development of carbon removal solutions with Frontier: The Intergovernmental Panel on Climate Change estimates that, to meet 2050 climate goals, the world needs to remove billions of tons of carbon every year. Total permanent removals to date are only in the tens of thousands of tons, so efforts to rapidly scale solutions are critical. An AMC model like Frontier aims to give the industry confidence to start building solutions urgently and attract new buyers.

Salesforce expands its renewable energy portfolio: A 15-year VPPA with Qualitas Energy will deliver a new solar portfolio across six Italian regions. 

Salesforce grants $3.95 million to nonprofits advancing a just energy transition: Organizations receiving the grants are focused on making clean energy affordable and equitable for underrepresented communities, supporting early-stage climate startups, and creating green jobs. 

Soundbites:

For us, this means investing in and scaling new climate technologies, securing clean energy access in underserved regions of the world, and aligning our corporate philanthropy strategy to ensure no one is left behind.

Suzanne DiBianca, EVP and Chief Impact Officer, Salesforce

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1Salesforce utilizes renewable energy or renewable energy certificates that are equivalent to the electricity used globally on an annual basis.

Salesforce opened its first AI center today, welcoming more than a hundred developers and administrators to a free AI training event in London.

The UK AI Center’s opening was attended by leading UK business and industry figures including Howard Dawber, the Deputy Mayor of London for Business and Growth, and Janet Coyle CBE, Managing Director of Grow London at London & Partners.

Salesforce, whose decision to locate its first AI center in London was hailed as a vote of confidence in the UK AI economy, is using the UK AI Center’s grand opening to highlight and take action on the critical digital skills gap in the UK.

The value of the UK AI market is predicted to grow from $21 billion to more than $1 trillion over the next 10 years. But the UK is facing a digital skills crisis that could impede this growth — Salesforce research shows that although over a third of UK workers are using or planning to use generative AI at work, the majority (62%) lack the skills to do so effectively and safely. 

The AI Now Tour, the first in an ongoing series of similar events, equips Salesforce developers and administrators from across industries with the skills they need to build the future of generative AI applications. This free-to-attend event also supports the company’s commitment to train 100,000 developers worldwide.

Paul O’Sullivan, Head of Salesforce UK AI Center and UK&I Chief Technology Officer, said, “We are thrilled to open the doors to the Salesforce UK AI Center today, welcoming developers from across the industry to join us for a free intensive full-day workshop on building the future of generative AI applications. This will be the first in an ongoing program of skills sessions, all designed to help close the UK’s AI skills gap.”

Deputy Mayor of London for Business and Growth, Howard Dawber, said: “The new Salesforce UK AI Center will play an important part in ensuring London continues to be a leader in AI innovation, and a centre for global collaboration. We must continue to provide our workforce with the right skills so they can implement AI responsibly and effectively, boosting our economy as we build a better and fairer London for everyone.”

Relina Bulchandani, EVP, Real Estate & Workplace Services for Salesforce, said, “London is a world class AI hub, and we’re proud to have a thriving customer and partner ecosystem here. That’s why we chose the city for our first AI center. The space will be a learning lab for experimenting and incubating new ideas, which will be shared with industry experts all over the world.” 

The space will be a learning lab for experimenting and incubating new ideas, which will be shared with industry experts all over the world.

Relina Bulchandani, EVP, Real Estate & Workplace Services for Salesforce

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New benchmark and leaderboard give businesses the guidance they need to make smart decisions when evaluating generative AI models for their CRM systems 


Salesforce today announced the world’s first LLM benchmark for CRM to help businesses evaluate the rapidly growing number of large language models (LLMs) for use in their customer relationship management (CRM) systems. 

The new benchmark is a comprehensive evaluation framework that measures the performance of LLMs against four key measures: accuracy, cost, speed, and trust and safety. It’s been specifically designed to evaluate common sales and service use cases, including prospecting, lead nurturing, as well as sales opportunity and service case summaries. The benchmark also includes a public leaderboard to help professionals decide which LLM is best for their CRM needs. Salesforce will continue to incorporate new use case scenarios into the benchmark and enhance its evaluation of LLMs, which will soon include fine-tuned LLMs. 

“As AI continues to evolve, enterprise leaders are saying it’s important to find the right mix of performance, accuracy, responsibility, and cost to unlock the full potential of generative AI to drive business growth,” said Silvio Savarese, EVP & Chief Scientist, Salesforce AI Research. “Salesforce’s new LLM Benchmark for CRM is a significant step forward in the way businesses assess their AI strategy within the industry. It not only provides clarity on next-generation AI deployment but also can accelerate time to value for CRM-specific use cases. Our commitment is to continuously evolve this benchmark to keep pace with technological advancements, ensuring it remains relevant and valuable.” 

Salesforce’s new LLM Benchmark for CRM is a significant step forward in the way businesses assess their AI strategy within the industry.

Silvio Savarese, EVP & Chief Scientist, Salesforce AI Research

Why it matters: Existing LLM benchmarks have been limited to academic and consumer use cases, with very little business relevance. They also lack adequate expert human evaluations and fail to address accuracy, speed, cost, and trust considerations. These deficiencies have left CRM customers lacking a reliable way to gauge the effectiveness of generative AI-powered CRM solutions. Without a clear sense of how LLMs perform across those metrics for specific use cases, businesses are left to make decisions in the dark. 

Dive deeper: Developed by Salesforce AI Research, the benchmark uniquely uses real-world CRM data, and also uniquely makes use of expert human evaluations by practitioners. This enables businesses to use the benchmark to make more strategic decisions about how to incorporate generative AI into their CRM systems, with specific attention to: 

  1. Accuracy: This metric comprises four subcategories: factuality, completeness, conciseness, and instruction-following. The more accurate the predictions or recommendations, the more valuable the results are to teams across the organization. And the more valuable the results, the better the actions they can take to improve customer experience. If a model is accurate enough for a use case, it’s also important to consider the other metrics. Even if the model isn’t accurate enough, techniques like prompt engineering and fine-tuning can improve it. 
  2. Cost: The cost metric is categorized as high, medium, and low, based on percentiles. It’s the estimated operational cost that varies by CRM use case. Customers can evaluate the cost-effectiveness of different LLMs to ensure they align with their budget and resource allocation strategies.
  3. Speed: This metric assesses the LLM’s responsiveness and efficiency in processing and delivering information. Faster response times enhance the user experience, reduce wait times for customers, and enable sales and service teams to address inquiries and issues promptly.
  4. Trust and Safety: This metric measures the LLM’s capability to shield sensitive customer data, adhere to data privacy regulations, secure information, and refrain from bias and toxicity for CRM use cases. By assessing the reliability of LLMs for CRM, this benchmark gives organizations a sense of transparency regarding trust and safety.

Organizations can use this benchmark to compare LLMs, identify the best solution, and make more informed decisions that will deliver customer success and propel their business forward.  

And, with Salesforce’s Einstein 1 Platform, customers can choose from existing LLMs or bring their own models to meet their unique business needs. By selecting models for their CRM use cases using the benchmark, businesses can deploy more effective and efficient generative AI solutions. 

“Business organizations are looking to utilize AI to drive growth, cut costs, and deliver personalized customer experiences, not to plan a kid’s birthday party or summarize Othello,” said Clara Shih, CEO of Salesforce AI. “Our customers have been asking for a purpose-built way to evaluate and select from among the proliferation of new AI models, and we are thrilled to introduce the world’s first LLM benchmark for CRM to help them navigate the complex landscape of models. This benchmark is not just a measure; it’s a comprehensive, dynamically evolving framework that empowers companies to make informed decisions, balancing accuracy, cost, speed, and trust.”

This benchmark is not just a measure; it’s a comprehensive, dynamically evolving framework that empowers companies to make informed decisions, balancing accuracy, cost, speed, and trust.

Clara Shih, CEO of Salesforce AI

Learn more:

“The information provided in this press release does not, and is not intended to, constitute an endorsement of any particular LLM; instead, all information, content, and materials available are for general informational purposes only. Readers should make their own determinations based on their needs. Opinions of the referenced presenters and/or author are their own and do not necessarily reflect the official position of Salesforce.”

New Revenue Cloud product connects the quote-to-cash process to close deals fast on any channel and monetize any revenue model


Salesforce today announced new capabilities for Revenue Lifecycle Management that allow businesses to scale and automate the entire quote-to-cash sales process — from quoting and contracting to fulfilling an order — on a unified platform for sales, finance, and legal teams.

Built natively on the Einstein 1 Platform, Revenue Lifecycle Management provides an intuitive, AI-guided quoting experience for direct sellers, while empowering businesses to expand their reach across distribution channels and revenue models.

A flexible metadata model allows businesses to deploy the precise product capabilities they need, empowering them to automate processes anywhere they transact, including third-party integrations. Capabilities include Product Catalog Management, Price Management, Transaction Management & CPQ, Contract Lifecycle Management, and Dynamic Revenue Orchestration.

Why it matters: Businesses are looking to improve their seller experience and drive more revenue in an increasingly complex selling environment. At the same time, they are seeking to optimize how they go to market with new monetization strategies and sales channels.

“As revenue lifecycle management grows as a business imperative, we are helping customers transform their seller experiences and monetization strategies with consumption and hybrid models that are deployable across direct, indirect, and self-service channels,” said Meredith Schmidt, EVP and GM of Revenue Cloud, Salesforce. 

As revenue lifecycle management grows as a business imperative, we are helping customers transform their seller experiences and monetization strategies with consumption and hybrid models that are deployable across direct, indirect, and self-service channels.

Meredith Schmidt, EVP and GM of Revenue Cloud, Salesforce

Go deeper: Enhancing Salesforce’s quote-to-cash portfolio, which includes Salesforce CPQ and Salesforce Billing, this full-lifecycle solution offers numerous capabilities, including: 

Customer perspectives:

Analyst perspective: “Adoption of newer business models such as subscription and usage pricing requires a different approach to traditional one-time sales models. Revenue lifecycle management better describes the need to focus on customer retention to support opportunities to up- and cross-sell and to ensure sustained and profitable business.” – Stephen Hurrell, Director of Research at Ventana Research, now part of ISG

Availability:

Learn more

Any unreleased services or features referenced here are not currently available and may not be delivered on time or at all. Customers should make their purchase decisions based upon features that are currently available.