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Salesforce and Sprout Social

Salesforce and Sprout Social

Salesforce Spring ’25 Update: Important Changes to CSP Directives & Sprout iframe Starting with Salesforce’s Spring ’25 release, stricter Content Security Policy (CSP) directives will be enforced on Lightning Pages. These new rules are designed to keep your Salesforce environment secure by preventing cross-site scripting and other code injection attacks that can occur from loading externally hosted resources like scripts, fonts, images, audio, video and stylesheets in Salesforce Lightning Web Pages. What This Means for Sprout Social Users This update will block the Sprout Social iframe from loading in the Lightning Web Component used in your Case page layout—unless you make a few easy changes to avoid any disruptions. Here’s what to do: You can check your current settings by going to Setup > Security > Session Settings > Content Security Policy (CSP) Directive Rendering. Look for the option to adopt the updated CSP directives, which will be automatically applied when Spring 25 rolls out. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Nvidia and Salesforce

Nvidia and Salesforce

Salesforce and Nvidia have announced a groundbreaking collaboration to push the boundaries of AI, transforming both customer and employee experiences. Redefining AI in Enterprise Software As businesses worldwide face the complexities and costs of integrating AI into their operations, Salesforce and Nvidia are stepping in with a strategic partnership designed to redefine AI capabilities. This collaboration merges Salesforce’s extensive CRM and enterprise software expertise with Nvidia’s advanced AI and high-performance computing technologies. The goal is to create a new generation of AI agents and avatars that can operate autonomously, grasp complex business contexts, and engage with humans in a more natural, intuitive manner. Marc Benioff, Chair and CEO of Salesforce, states: “Together with Nvidia, we’re spearheading the third wave of the AI revolution—moving beyond copilots to a seamless integration of humans and intelligent agents driving customer success.” Enhancing Salesforce’s Platform The partnership focuses on integrating Nvidia’s accelerated computing and AI software to enhance Salesforce’s platform performance. Key to this effort is the optimization of Salesforce Data Cloud, which harmonizes structured and unstructured customer data in real time. Nvidia’s full-stack accelerated computing platform will significantly increase compute resources, leading to faster insights and improved AI performance across Salesforce’s offerings. AI-Powered Avatars and Beyond A major innovation from this collaboration is the development of AI-powered avatars. By combining Nvidia ACE, a suite of digital human technologies, with Salesforce’s new Agentforce platform, the companies aim to create more engaging, human-like experiences for interactions with customers and employees. These avatars will leverage multi-modal AI models for speech recognition, text-to-speech, and contextual visual responses, potentially revolutionizing business communication. Nvidia founder and CEO Jensen Huang envisions a future where “every company, every job will be enhanced by a wide range of AI agents—assistants that will transform how we work.” He adds, “Nvidia and Salesforce are uniting our technologies to accelerate the development of AI agents, supercharging productivity for companies.” Transforming Business Operations The Salesforce-Nvidia partnership is more than a technological alliance; it’s a strategic move to meet the increasing demand for AI-driven enterprise solutions. The collaboration positions both companies at the forefront of the AI revolution in enterprise software, aiming to reshape how businesses interact with customers and manage their operations. Key facts include: Real-World Applications The potential applications of this technology are extensive. For example: Looking Ahead As Salesforce and Nvidia’s partnership unfolds, it promises not only technological advancements but a fundamental shift in how businesses leverage AI for growth, efficiency, and customer satisfaction. Marc Benioff highlights the potential: “By combining Nvidia’s AI platform with Agentforce, we’re amplifying AI performance and creating dynamic digital avatars, delivering more engaging, intelligent, and immersive customer experiences than ever before.” This collaboration is set to lead the third wave of the AI revolution, integrating humans and intelligent agents to drive unprecedented customer success. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Managing Salesforce Roles and Profiles

Managing Salesforce Roles and Profiles

How to Set Up Salesforce Roles Salesforce is a powerful platform used by many organizations to streamline operations across departments, from sales and marketing to customer support. With so many users working within the platform, it’s essential to manage access to data securely. Salesforce achieves this through its system of roles and profiles, which define who can see and do what in the system. Salesforce Roles vs. Profiles Roles determine what data users can view. They establish a hierarchy of access, with higher roles having visibility into records owned by those below them. This helps ensure that only authorized users can access sensitive information. Profiles, on the other hand, define what actions users can take within Salesforce, such as creating or editing records. Profiles are assigned when user accounts are created and can be customized to suit specific job functions. Role Hierarchy in Salesforce The role hierarchy in Salesforce is designed to control data access, not mirror the organizational chart. Higher roles can generally view data from roles below them, but access can be restricted based on business needs. Types of Salesforce Profiles Salesforce comes with several standard profiles, and administrators can create custom profiles as needed. Some key profiles include: In addition to profiles, permission sets allow admins to grant users specific permissions without changing their profile. Managing Salesforce Roles and Profiles Setting up Salesforce roles and profiles is crucial for maintaining data security and ensuring users have the correct access for their responsibilities. By efficiently configuring roles and profiles, businesses can tailor the platform to their needs, enhancing both user experience and operational security. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Build Launch and Track Campaigns

Build Launch and Track Campaigns

Revolutionizing Campaigns: How Marketing Agents Empower Your Marketing Team Marketing agents are transforming how businesses create, launch, and track campaigns—delivering better results while boosting internal team productivity and cohesion. With the power of AI and data, these agents act as collaborative partners, enhancing marketing efficiency and creativity in unprecedented ways. A Smarter Approach to Campaign Challenges Marketers have long faced the challenge of creating quality content at scale. According to the Content Marketing Institute, 54% of B2B marketers struggle to meet this demand, while B2C marketers often lack the resources to make their efforts scalable and consistent. On top of this, they must ensure campaigns are efficient, customer-centric, and stand out in a competitive landscape. Enter marketing agents—AI-powered tools that help teams manage and optimize campaigns, from strategy to execution. At Dreamforce 2024, Salesforce unveiled Agentforce, a suite of intelligent agents integrated across the Customer 360 platform, including Agentforce Campaigns. With 71% of marketers planning to adopt generative and predictive AI within the next 18 months, as per Salesforce’s State of Marketing report, tools like Agentforce are poised to redefine how campaigns are built and delivered. How Humans and AI Agents Work Together Marketing agents are AI-powered virtual assistants that collaborate with humans to analyze data, generate insights, and execute marketing plans. Unlike traditional tools, they understand the context behind your needs and suggest actionable solutions—whether that’s creating content, optimizing campaigns, or analyzing results. By automating time-consuming tasks, marketing agents free teams to focus on high-value activities like strategy and personalization. But the key to maximizing their potential lies in shifting your mindset: instead of simply seeking efficiency, aim to transform how you deliver exceptional customer experiences. 8 Ways Agentforce Campaigns Elevates Your Marketing 1. Intelligent Recommendations Agentforce Campaigns turns insights into actions. For example, Marketing Cloud’s Einstein not only tracks your goals but also suggests adjustments or new campaigns tailored to your objectives, helping you stay ahead. 2. Instant Campaign Briefs Building a campaign starts with a solid brief. With Agentforce, you can create one in seconds using natural language prompts. The AI-generated brief incorporates your goals and guidelines, making collaboration and approvals seamless. 3. Contextual Content Creation Agentforce generates emails, landing pages, and calls to action directly aligned with your brand’s tone and campaign goals. Marketers can refine outputs with natural language prompts, ensuring a perfect fit for their strategy. 4. Effortless Audience Segmentation No SQL skills? No problem. Describe your ideal audience in natural language, and Agentforce will translate that into actionable segments—helping you target precisely the right customers. 5. Automated Journey Activation Agentforce simplifies multi-channel journey creation by drafting personalized campaign flows. You can refine, approve, and activate these journeys with ease, saving time while enhancing impact. 6. Unlimited Content Variations AI eliminates content constraints, allowing you to generate multiple variations for personalized campaigns. Target high-value customers, newcomers, or loyal fans with tailored messages—all at scale. 7. Explore Nuanced Segments Agentforce enables marketers to create segments without relying on overburdened data science teams. Dive into deeper audience insights, such as churn rates based on location, age, or past behavior, with just a prompt. 8. Embed Continuous Testing Testing is often deprioritized due to time limitations. Agentforce automates testing workflows, making it easier to incorporate A/B testing and iterative learning into every campaign. Getting Started with Agentforce Campaigns Agentforce Campaigns is available in Marketing Cloud Growth and Advanced Editions, designed to empower businesses of all sizes. By integrating AI-driven tools into your workflow, you can elevate your marketing to new heights—enhancing creativity, efficiency, and customer engagement. Ready to revolutionize your campaigns? Explore how Agentforce can help you win customers and foster a more productive, cohesive marketing team. Salesforce Disclaimer: Unreleased features mentioned here are subject to change and may not become available as described. Make purchasing decisions based on currently available features. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Fivetrans Hybrid Deployment

Fivetrans Hybrid Deployment

Fivetran’s Hybrid Deployment: A Breakthrough in Data Engineering In the data engineering world, balancing efficiency with security has long been a challenge. Fivetran aims to shift this dynamic with its Hybrid Deployment solution, designed to seamlessly move data across any environment while maintaining control and flexibility. Fivetrans Hybrid Deployment. The Hybrid Advantage: Flexibility Meets Control Fivetran’s Hybrid Deployment offers a new approach for enterprises, particularly those handling sensitive data or operating in regulated sectors. Often, these businesses struggle to adopt data-driven practices due to security concerns. Hybrid Deployment changes this by enabling the secure movement of data across cloud and on-premises environments, giving businesses full control over their data while maintaining the agility of the cloud. As George Fraser, Fivetran’s CEO, notes, “Businesses no longer have to choose between managed automation and data control. They can now securely move data from all their critical sources—like Salesforce, Workday, Oracle, SAP—into a data warehouse or data lake, while keeping that data under their own control.” How it Works: A Secure, Streamlined Approach Fivetran’s Hybrid Deployment relies on a lightweight local agent to move data securely within a customer’s environment, while the Fivetran platform handles the management and monitoring. This separation of control and data planes ensures that sensitive information stays within the customer’s secure perimeter. Vinay Kumar Katta, a managing delivery architect at Capgemini, highlights the flexibility this provides, enabling businesses to design pipelines without sacrificing security. Beyond Security: Additional Benefits Hybrid Deployment’s benefits go beyond just security. It also offers: Early adopters are already seeing its value. Troy Fokken, chief architect at phData, praises how it “streamlines data pipeline processes,” especially for customers in regulated industries. AI Agent Architectures: Defining the Future of Autonomous Systems In the rapidly evolving world of AI, a new framework is emerging—AI agents designed to act autonomously, adapt dynamically, and explore digital environments. These AI agents are built on core architectural principles, bringing the next generation of autonomy to AI-driven tasks. What Are AI Agents? AI agents are systems designed to autonomously or semi-autonomously perform tasks, leveraging tools to achieve objectives. For instance, these agents may use APIs, perform web searches, or interact with digital environments. At their core, AI agents use Large Language Models (LLMs) and Foundation Models (FMs) to break down complex tasks, similar to human reasoning. Large Action Models (LAMs) Just as LLMs transformed natural language processing, Large Action Models (LAMs) are revolutionizing how AI agents interact with environments. These models excel at function calling—turning natural language into structured, executable actions, enabling AI agents to perform real-world tasks like scheduling or triggering API calls. Salesforce AI Research, for instance, has open-sourced several LAMs designed to facilitate meaningful actions. LAMs bridge the gap between unstructured inputs and structured outputs, making AI agents more effective in complex environments. Model Orchestration and Small Language Models (SLMs) Model orchestration complements LAMs by utilizing smaller, specialized models (SLMs) for niche tasks. Instead of relying on resource-heavy models, AI agents can call upon these smaller models for specific functions—such as summarizing data or executing commands—creating a more efficient system. SLMs, combined with techniques like Retrieval-Augmented Generation (RAG), allow smaller models to perform comparably to their larger counterparts, enhancing their ability to handle knowledge-intensive tasks. Vision-Enabled Language Models for Digital Exploration AI agents are becoming even more capable with vision-enabled language models, allowing them to interact with digital environments. Projects like Apple’s Ferret-UI and WebVoyager exemplify this, where agents can navigate user interfaces, recognize elements via OCR, and explore websites autonomously. Function Calling: Structured, Actionable Outputs A fundamental shift is happening with function calling in AI agents, moving from unstructured text to structured, actionable outputs. This allows AI agents to interact with systems more efficiently, triggering specific actions like booking meetings or executing API calls. The Role of Tools and Human-in-the-Loop AI agents rely on tools—algorithms, scripts, or even humans-in-the-loop—to perform tasks and guide actions. This approach is particularly valuable in high-stakes industries like healthcare and finance, where precision is crucial. The Future of AI Agents With the advent of Large Action Models, model orchestration, and function calling, AI agents are becoming powerful problem solvers. These agents are evolving to explore, learn, and act within digital ecosystems, bringing us closer to a future where AI mimics human problem-solving processes. As AI agents become more sophisticated, they will redefine how we approach digital tasks and interactions. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Marketing Cloud Website Activity Collection

Marketing Cloud Website Activity Collection

Leveraging Website Activity Data in Salesforce Marketing Cloud Understanding how users interact with your website is essential for delivering personalized customer experiences. Salesforce Marketing Cloud (SFMC) offers robust tools to capture website activity and transform this data into actionable insights, enhancing your marketing strategies. This guide walks you through the process of collecting website activity data in SFMC. Marketing Cloud Website Activity Collection Before diving into the setup process, it’s important to understand the benefits of collecting website activity data: Now, let’s explore how to set up website activity tracking in Salesforce Marketing Cloud. Set Up Marketing Cloud Website Activity Collection Step 1: Install Salesforce Marketing Cloud Tracking Code To begin collecting website activity, install the Salesforce Marketing Cloud tracking code on your website. Known as the “Web Collect” code, this script captures visitor behavior data and sends it to SFMC. Step 2: Configure Data Extensions After installing the tracking code, set up data extensions in SFMC to store the website activity data you collect. Step 3: Set Up Behavioral Triggers To maximize the value of your data, set up behavioral triggers in SFMC. These triggers can automatically send personalized communications based on specific website actions. Step 4: Leverage Advertising Studio for Retargeting To further enhance your marketing efforts, use Advertising Studio to create retargeting campaigns based on website activity data. Step 5: Monitor and Optimize After setting up website activity tracking, regularly monitor the performance of your campaigns and the quality of your collected data. Final Thoughts Collecting website activity data in Salesforce Marketing Cloud enables you to understand customer behavior better and deliver more personalized experiences. By following these steps—installing the tracking code, configuring data extensions, setting up behavioral triggers, and leveraging retargeting—you can effectively harness website activity data to elevate your marketing efforts. Start implementing these strategies today to unlock the full potential of Salesforce Marketing Cloud and drive deeper engagement and conversions. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Smartsheet and AWS Collaborate

Smartsheet and AWS Collaborate

Smartsheet and AWS Collaborate to Enhance AI-Driven Decision-Making with New Amazon Q Business Connector October 8, 2024 — During its annual ENGAGE customer conference, Smartsheet (NYSE: SMAR), the enterprise work management platform, announced a partnership with AWS to introduce a new connector that integrates Smartsheet data with Amazon Q Business. This generative AI-powered assistant can answer questions, provide summaries, generate content, and securely complete tasks using data from customers’ enterprise systems. This integration will allow Amazon Q Business users to access insights about their projects and processes managed in Smartsheet, facilitating a cohesive search experience that empowers employees to make informed, data-driven decisions. Smartsheet and AWS Collaborate. As organizations increasingly recognize the importance of data-driven decisions, data silos remain a major hurdle. Research from Salesforce in 2024 indicates that only about 28% of business applications are interconnected. The new connector aims to address this issue by securely merging Smartsheet data with other sources integrated into Amazon Q Business, such as Salesforce, Slack, Microsoft Teams, and AWS. This will benefit over 13 million Smartsheet users globally, including around 85% of the 2024 Fortune 500 companies, allowing them to access their work management data, including sheets, conversations, and files, through AWS’s generative AI-powered assistant. This integration enhances decision-making, productivity, and efficiency. Smartsheet and AWS Collaborate “The Smartsheet connector furthers our strategy to securely integrate Smartsheet with leading enterprise AI tools, allowing customers to work seamlessly across their business applications,” said Ben Canning, SVP of Product Experiences at Smartsheet. “By combining our flexible data model with Amazon Q Business, we’re unlocking access to work management data for our mutual customers, enabling them to focus on achieving business outcomes without worrying about data storage.” For instance, service operations managers can utilize the new connector to manage complex projects more effectively. By posing specific questions to the Amazon Q Business assistant, teams can gain insights from various data sources, including sheets, conversations, and attachments in Smartsheet. The AI assistant conducts thorough searches while respecting access permissions, saving time and enhancing project oversight. This streamlined approach improves client retention, accuracy, and overall service quality. “Generative AI presents a unique opportunity for organizations to transform their internal workflows. The key is securely accessing their own data, regardless of its location or format,” stated Dilip Kumar, Vice President of Amazon Q Business at AWS. “Many enterprises use Smartsheet as their primary collaboration hub, storing billions of rows of data. Allowing Amazon Q Business users to interact with their Smartsheet data in a simple, secure manner boosts productivity, analysis, and decision-making.” “Generative AI is driving a significant shift in how enterprise knowledge is stored, accessed, and utilized,” noted Dion Hinchcliffe, VP of the CIO Practice at The Futurum Group. “This transition offers a chance to redefine what’s possible in data management. A strategic, informed approach to adopting this technology is crucial. By integrating work management data into Amazon Q Business, Smartsheet and AWS are creating a unified AI search experience across their knowledge base, unlocking the true potential of their data.” Empowering Teams to Achieve More with Generative AI Smartsheet is collaborating with industry leaders like AWS to develop AI capabilities that help enterprises manage their critical tasks more strategically and efficiently. Earlier this year, Smartsheet implemented Amazon Q Business internally to enhance knowledge management and boost employee productivity in the cloud. The Smartsheet connector exemplifies how both organizations are delivering powerful AI tools that revolutionize team workflows. Smartsheet continues to integrate generative AI throughout its platform, designed with practicality, transparency, and customer needs in mind. Smartsheet’s AI tools enable organizations to swiftly extract insights from data, create automated processes, generate text and summaries, and accomplish more with the AI assistant. Through the end of December, Smartsheet is offering its entire suite of AI tools to all customers, allowing everyone to leverage AI’s capabilities within the platform. The Smartsheet connector is currently available to Amazon Q Business customers in public preview. About Smartsheet Smartsheet is a modern enterprise work management platform trusted by millions globally, including approximately 85% of the 2024 Fortune 500 companies. As a pioneering leader in its category, Smartsheet delivers powerful solutions that drive performance and foster innovation. Visit www.smartsheet.com for more information. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Marketing Cloud and Commerce Cloud Innovations

Marketing Cloud and Commerce Cloud Innovations

What Our Dreamforce Marketing Cloud and Commerce Cloud Innovations Mean for You This year’s Dreamforce was nothing short of amazing. It was exciting to reconnect with fellow Trailblazers, exchange brilliant ideas, and showcase the innovations we’ve been crafting at Salesforce. A recurring theme throughout the event was how businesses can leverage data and AI to forge deeper customer-driven relationships by bringing internal teams closer together. These innovations are designed to transform not only how companies engage with customers but also how their teams work together. Marketing Cloud and Commerce Cloud Innovations. Seamless integration between Marketing, Commerce, Sales, and Service teams is crucial for creating unified customer experiences. Often, customers feel as though they are interacting with separate departments rather than one cohesive company—this is largely due to disconnected technology and processes. But thanks to Salesforce’s advancements in unified data, AI, and automation, those days are numbered. Now, departments can collaborate more effectively, delivering hyper-personalized, frictionless experiences across the entire customer lifecycle. Let’s explore the latest Marketing Cloud and Commerce Cloud innovations announced at Dreamforce 2024 and how they can benefit your business. What You’ll Learn Salesforce Marketing Cloud Innovations These four innovations in Marketing Cloud are built on the Salesforce Platform and powered by Data Cloud, offering marketers a seamless view of customer data across the business. This foundation makes it easier to deliver unified customer experiences, improve handoffs between teams, and measure success more effectively. 1. Agentforce Embedded in Marketing Workflows Agentforce for Marketing combines generative and predictive AI to create an end-to-end campaign experience that marketers can launch and optimize with ease. Here’s how it helps: Example: A marketer looking to prevent customer churn can launch a re-engagement campaign. Agentforce will identify the right audience, craft personalized messages, and optimize delivery based on customer behavior. 2. Empowering Small and Medium Businesses The new Marketing Cloud Advanced Edition brings enhanced AI and automation capabilities to SMBs, enabling them to scale personalization and improve productivity: 3. Automating Data Preparation and Analytics with Einstein Marketing Intelligence (EMI) EMI uses AI and Data Cloud to automate the ingestion, transformation, and analysis of marketing data: 4. Einstein Personalization for 1:1 Experiences Einstein Personalization uses AI to recommend products, content, or services based on individual customer preferences: Example: A service agent could offer a discount on a product a customer was recently viewing, creating a seamless, personalized experience. Salesforce Commerce Cloud Innovations As businesses scale and handle increasing amounts of data, managing complex commerce systems can be a challenge. The new Commerce Cloud updates simplify these complexities by extending unified commerce capabilities across the organization. 1. Simplifying Cross-Functional Commerce Tasks By unifying data from across the business, Commerce Cloud enables better cross-functional collaboration: 2. AI-Powered Commerce Agents with Agentforce Commerce Cloud introduces three AI-powered agents to streamline business processes: 3. Streamlining Checkout for a Faster, Easier Experience With new express payment options like Link by Stripe and Amazon Pay, Commerce Cloud Checkout speeds up transactions and improves conversion rates by 14%. Plus, Buy with Prime integration allows shoppers to use their Amazon Prime accounts for a faster checkout experience, complete with trusted delivery and hassle-free returns. The Future of Unified Commerce Salesforce Commerce Cloud offers a unified platform that brings together sales, service, and marketing, providing a 360-degree view of the entire customer journey. This unified commerce approach enables businesses to deliver seamless B2B and B2C experiences, all powered by a single platform. By integrating enterprise-wide data, trusted AI, and automated workflows, Salesforce helps businesses scale personalized, intelligent experiences across every touchpoint. Every interaction becomes an opportunity for growth, setting the standard for success in today’s customer-driven world. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Slack Fuels Productivity

Set Up Salesforce and Slack Integration

Set Up Salesforce and Slack Integration for Sales Elevate and Salesforce Channels To use Sales Elevate or Salesforce channels in Slack, establish a connection between Salesforce and Slack. This setup allows your team members to access these features seamlessly. You can map Salesforce accounts to corresponding Slack accounts to ensure the right individuals access the right tools. Note: You must have Salesforce Admin permissions to complete the setup in Salesforce. Prepare Your Salesforce Org Before connecting Salesforce and Slack, complete the following steps in Salesforce: Step 1: Create and Configure a Salesforce Integration User An Integration User ensures proper permissions and prevents disconnection if your personal Salesforce account is deactivated or updated. Step 2: Allow the Integration User to Bypass SSO If your organization uses single sign-on (SSO), you’ll need to bypass it for the Integration User to complete authentication. Step 3: Assign Permissions to the Integration User Grant the Integration User access to Salesforce objects and fields used in Slack. Connect Slack to Salesforce With your Integration User ready, connect your Salesforce org to Slack. You can connect up to 25 Salesforce orgs to Slack. Step 1: Request a Connection in Slack Step 2: Approve the Connection in Salesforce Step 3: Activate the Connection in Slack Manually Map Member Accounts If you opt out of automatic mapping, you can manually map accounts: Remove Member Mapping Salesforce Admins can remove and reset member mappings: Assign Access to Salesforce Tools in Slack Manage access to Sales Elevate and Salesforce channels by assigning the Slack Elevate User permission set in Salesforce: This configuration streamlines collaboration, giving your team access to powerful Salesforce tools directly in Slack. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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dbt Labs and Salesforce

dbt Labs and Salesforce

dbt Labs, a leader in analytics engineering, announced at Coalesce 2024 a groundbreaking partnership with Salesforce to integrate Salesforce Data Cloud’s AI, automation, and analytics capabilities with dbt Labs’ expertise in data transformation and metrics management. This collaboration aims to deliver a seamless, trustworthy, and comprehensive data experience for users. “Together, Salesforce and dbt Labs are redefining what’s possible with data,” said Ryan Segar, Chief Customer Officer at dbt Labs. “By integrating our solutions, we’re helping customers accelerate their analytics development journey, delivering powerful, flexible data insights that drive better business outcomes.” The partnership offers Salesforce Data Cloud, Tableau, and Agentforce users access to dbt Labs’ robust data transformation pipeline, ensuring high data accuracy, quality, and reliability. An independent metrics layer from dbt Labs will allow Salesforce and Tableau users to define, manage, and standardize key business metrics, providing consistent and comparable insights across platforms. This supports confident, data-driven decision-making directly within the flow of work. New integrations include the ability to connect dbt Semantic Layer with Tableau Pulse, export metrics from dbt Cloud to Tableau Cloud, and leverage dbt models within Tableau and Einstein. Future integrations will explore features such as alignment with Tableau Semantics and enabling instant Tableau analytics from the dbt Cloud console. Ali Tore, Senior Vice President of Advanced Analytics at Salesforce, emphasized the benefits of this collaboration: “By combining the strengths of dbt with Salesforce Data Cloud, we’re empowering customers with AI-powered insights built on a foundation of trusted, reliable data. This integration unlocks the full potential of their data to drive impactful business outcomes.” With over 50,000 teams already using dbt, Salesforce customers can now leverage advanced data modeling techniques trusted by leading global organizations. This partnership offers scalable, robust data modeling directly within Salesforce Data Cloud, benefiting both technical and non-technical users alike. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Revolution Customer Service with Agentforce

Revolution Customer Service with Agentforce

Agentforce stole the spotlight at Dreamforce, but it’s not just about replacing human workers. Equally significant for Service Cloud was the focus on how AI can be leveraged to make agents, dispatchers, and field service technicians more productive and proactive. Join a conversation to unpack the latest Sales Cloud innovations, with a spotlight on Agentforce for sales followed by a Q&A with Salesblazers. During the Dreamforce Service Cloud keynote, GM Kishan Chetan emphasized the dramatic shift over the past year, with AI moving from theoretical to practical applications. He challenged customer service leaders to embrace AI agents, highlighting that AI-driven solutions can transform customer service from delivering “good” benefits to achieving exponential growth. He noted that AI agents are capable of handling common customer requests like tech support, scheduling, and general inquiries, as well as more complex tasks such as de-escalation, billing inquiries, and even cross-selling and upselling. In practice, research by Valoir shows that most Service Cloud customers are still in the early stages of AI adoption, particularly with generative AI. While progress has accelerated recently, most companies are only seeing incremental gains in individual productivity rather than the exponential improvements highlighted at Dreamforce. To achieve those higher-level returns, customers must move beyond simple automation and summarization to AI-driven transformation, powered by Agentforce. Chetan and his team outlined four key steps to make this transition. “Agentforce represents the Third Wave of AI—advancing beyond copilots to a new era of highly accurate, low-hallucination intelligent agents that actively drive customer success. Unlike other platforms, Agentforce is a revolutionary and trusted solution that seamlessly integrates AI across every workflow, embedding itself deeply into the heart of the customer journey. This means anticipating needs, strengthening relationships, driving growth, and taking proactive action at every touchpoint,” said Marc Benioff, Chair and CEO, Salesforce. “While others require you to DIY your AI, Agentforce offers a fully tailored, enterprise-ready platform designed for immediate impact and scalability. With advanced security features, compliance with industry standards, and unmatched flexibility. Our vision is bold: to empower one billion agents with Agentforce by the end of 2025. This is what AI is meant to be.” In contrast to now-outdated copilots and chatbots that rely on human requests and strugglewith complex or multi-step tasks, Agentforce offers a new level of sophistication by operating autonomously, retrieving the right data on demand, building action plans for any task, and executing these plans without requiring human intervention. Like a self-driving car, Agentforce uses real-time data to adapt to changing conditions and operates independently within an organizations’ customized guardrails, ensuring every customer interaction is informed, relevant, and valuable. And when desired, Agentforce seamlessly hands off to human employees with a summary of the interaction, an overview of the customer’s details, and recommendations for what to do next. Deploy AI agents across channelsAgentforce Service Agent is more than a chatbot—it’s an autonomous AI agent capable of handling both simple and complex requests, understanding text, video, and audio. Customers were invited to build their own Service Agents during Dreamforce, and many took up the challenge. Service-related agents are a natural fit, as research shows Service Cloud customers are generally more prepared for AI adoption due to the volume and quality of customer data available in their CRM systems. Turn insights into actionLaunching in October 2024, Customer Experience Intelligence provides an omnichannel supervisor Wall Board that allows supervisors to monitor conversations in real time, complete with sentiment scores and organized metrics by topics and regions. Supervisors can then instruct Service Agent to dive into root causes, suggest proactive messaging, or even offer discounts. This development represents the next stage of Service Intelligence, combining Data Cloud, Tableau, and Einstein Conversation Mining to give supervisors real-time insights. It mirrors capabilities offered by traditional contact center vendors like Verint, which also blend interaction, sentiment, and other data in real time—highlighting the convergence of contact centers and Service Cloud service operations. Empower teams to become trusted advisorsSalesforce continues to navigate the delicate balance between digital and human agents, especially within Service Cloud. The key lies in the intelligent handoff of customer data when escalating from a digital agent to a human agent. Service Planner guides agents step-by-step through issue resolution, powered by Unified Knowledge. The demo also showcased how Service Agent can merge Commerce and Service by suggesting agents offer complimentary items from a customer’s shopping cart. Enable field teams to be proactiveSalesforce also announced improvements in field service, designed to help dispatchers and field service agents operate more proactively and efficiently. Agentforce for Dispatchers enhances the ability to address urgent appointments quickly. Asset Service Prediction leverages AI to forecast asset failures and upcoming service needs, while AI-generated prework briefs provide field techs with asset health scores and critical information before they arrive on site. Setting a clear roadmap for adopting Agentforce across these four areas is an essential step toward helping customers realize more than just incremental gains in their service operations. Equally important will be helping customers develop a data strategy that harnesses the power of Data Cloud and Salesforce’s partner ecosystem, enabling a truly data-driven service experience. Investments in capabilities like My Service Journeys will also be critical in guiding customers through the process of identifying which AI features will deliver the greatest returns for their specific needs. Agentforce leverages Salesforce’s generative AI, like Einstein GPT, to automate routine tasks, provide real-time insights, and offer personalized recommendations, enhancing efficiency and enabling agents to deliver exceptional customer experiences. Agentforce is not just another traditional chatbot; it is a next-generation, AI-powered solution that understands complex queries and acts autonomously to enhance operational efficiency. Unlike conventional chatbots, Agentforce is intelligent and adaptive, capable of managing a wide range of customer issues with precision. It offers 24/7 support, responds in a natural, human-like manner, and seamlessly escalates to human agents when needed and redefining customer service by delivering faster, smarter, and more effective support experiences. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM

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Coveo and Salesforce Data Cloud

Coveo and Salesforce Data Cloud

Coveo Integrates with Salesforce Data Cloud for Enhanced Data Access Coveo has officially integrated with Salesforce Data Cloud, providing companies with improved access to a broad range of data across the Salesforce ecosystem. This integration enhances the capabilities of Salesforce’s Service Cloud, Commerce Cloud, and Experience Cloud by offering secure access to a wide array of enterprise data sources and engagement data from Coveo-powered search experiences. By leveraging Coveo’s advanced indexing and security features, the integration enables enterprises to seamlessly inject external content into Salesforce experiences through Data Cloud. It also delivers comprehensive analytics across both platforms, allowing businesses to track interactions and touchpoints more effectively. “Coveo has worked closely with Salesforce on a global scale for over a decade,” said Laurent Simoneau, president and CTO of Coveo. “The integration of Coveo with Salesforce creates a powerful synergy, particularly beneficial for large enterprises with complex content ecosystems. Coveo’s robust indexing and relevance capabilities, combined with Salesforce Data Cloud, provide secure access to external data sources, boosting performance and delivering added value across all Salesforce Clouds. This integration sets a new standard for unifying enterprise data and elevating the customer experience.” Kishan Chetan, executive vice president and general manager of Service Cloud at Salesforce, emphasized the impact on service interactions: “Providing precise answers during service interactions is crucial for reducing service costs and improving customer satisfaction, especially for large enterprises managing vast amounts of content and diverse customer bases. Coveo’s ability to connect to extensive content sources and enhance relevance is a key enabler for enterprises with complex search needs in Service Cloud.” Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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