Salesforce Data Cloud Archives

30May

AI-Powered Analytics

Tableau Next: AI-Powered Analytics That Works Alongside You Businesses today are drowning in data but burning alive in search of insights. With 75% of business leaders pressured to prove data’s value, the need for fast, trustworthy intelligence has never been greater. Enter Tableau Next—Salesforce’s evolution of its analytics platform, now supercharged with agentic analytics. This isn’t just another dashboard tool. It’s an AI collaborator that speeds up the entire data-to-action process, automating tedious tasks and delivering insights in plain language. What Is Agentic Analytics? Instead of static reports, Tableau Next lets users work with AI agents to: How It Works Built on Salesforce Data Cloud, Tableau Next connects securely to enterprise data while keeping it consistent and reliable. Key features: Why It Matters “We’re moving from static reports to AI as a decision-making partner,” says Ryan Aytay, CEO of Tableau. By blending AI with trusted data, Tableau Next makes analytics faster, more proactive, and accessible to everyone—not just data experts. The result? Smarter decisions, less manual work, and real business impact—without the usual data headaches. Key Takeaways:✅ AI does the grunt work – Automates data prep, analysis, and monitoring.✅ Ask questions, get answers – Natural language queries deliver instant insights.✅ Built for trust – Salesforce’s secure, unified data layer keeps AI accurate.✅ From insight to action – Automated workflows help teams respond faster. Tableau Next isn’t just an upgrade—it’s a new way to work with data. And for businesses racing to stay ahead, that could be a game-changer. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

May 30, 2025in Analytics Builder, Data, Enterprise, Google Analytics, Salesforce, Salesforce Data Cloud, Salesforce Tableau0 Comments

30May

AI Agents Interoperability

The Future of AI Agents: Why Interoperability is the Key to Unlocking True Automation The Challenge of Multi-Agent Collaboration AI agents like Agentforce can reason, act autonomously, and execute complex workflows—but can they work together seamlessly? Our previous exploration of agentic maturity revealed that reaching Level 4 (multi-agent orchestration) requires more than just advanced AI—it demands industry-wide standards for agents to discover, authenticate, and communicate across platforms. Without a common interoperability framework, the AI agent ecosystem risks fragmentation, limiting the potential for end-to-end automation in enterprise environments. Why Agent Interoperability Matters Customers operate in heterogeneous tech stacks, using diverse AI frameworks like: While Agentforce offers a powerful way to build agents, we recognize that interoperability is essential for true scalability. That’s why we partnered with Google and 50+ leading tech vendors to develop A2A—the industry’s first agent-to-agent interoperability protocol. Salesforce’s Contribution: The Agent Card We introduced the Agent Card—a lightweight JSON contract that defines an agent’s:✔ Capabilities✔ Identity & compliance tags✔ Trust Score Google adopted this concept as the keystone of the A2A protocol, ensuring seamless capability discovery and version negotiation between agents. The Business Case for Agent Interoperability An open agent-to-agent protocol enables: 1. Breaking Down Vendor Silos 2. Accelerating Time-to-Value 3. Strengthening Governance & Security The 10 Building Blocks of Agent Interoperability To enable scalable, trusted agent collaboration, we’ve defined a foundational framework: Building Block Function Agent Metadata Card A digital “business card” detailing an agent’s capabilities, identity, and technical specs. Identity & Authorization (RBAC) Ensures agents only access data and tools they’re permitted to use. Registry & Discovery A dynamic “address book” where agents register and find each other. Communication Patterns Standardized protocols for real-time and async interactions. Agent Trust Score Measures reliability, ethics, and compliance. State & Conversation Management Tracks ongoing interactions with a unique conversation ID. Multimodal Support Enables text, voice, image, and video interactions. Observability & Auditability Monitors performance, flags issues, and logs actions. Security & Compliance Encrypted data, PII masking, and threat detection. Scalability & Performance Handles surges in demand without slowdowns. Real-World Use Cases 1. Customer Service 2. Sales & Partnerships 3. Financial Services The Path Forward Agent interoperability isn’t just a technical challenge—it’s a strategic imperative for enterprises adopting AI at scale. By embracing A2A and open standards, businesses can:✅ Eliminate vendor lock-in✅ Reduce integration costs✅ Unlock seamless automation The future isn’t just AI agents—it’s AI agents that work together. How could agent interoperability transform workflows in your organization? 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

May 30, 2025in Agentforce Platform, Data, Enterprise, Google, Salesforce, Salesforce Data Cloud0 Comments

24May

Salesforce Data Cloud Hits $900M in Revenue

Salesforce Data Cloud Hits $900M in Revenue, Powering the Future of AI-Driven Business As AI evolves toward autonomous agents, unified data has become the backbone of enterprise intelligence—ensuring accuracy, compliance, and actionable insights. Without it, AI outputs grow unreliable, and compliance risks surge. Salesforce Data Cloud is addressing this challenge by unifying fragmented data sources, enabling smarter AI-powered experiences. The platform just hit a major milestone in FY25, reaching 0M in annual recurring revenue (ARR)—a testament to its rapid adoption. Why Data Cloud Stands Out Unlike traditional data solutions that require costly overhauls, Data Cloud enables real-time data activation with:✔ Zero-copy architecture (no data duplication)✔ 270+ pre-built connectors (Zendesk, Shopify, Snowflake, and more)✔ Unified structured & unstructured data processing Rahul Auradkar, EVP & GM of Unified Data Services and Einstein at Salesforce, explains: “Data Cloud is the leading data activation layer because it harmonizes data from any source—powering every AI action, automation, and insight. Our hyperscale capabilities, governance, and open ecosystem help enterprises break down silos, creating the foundation for trusted AI.” The Strategic Power of Unified Data Data Cloud acts as an intelligent activation layer, pulling data from warehouses, lakes, CRMs, and external systems to create a single customer view. This fuels: Insulet, a medical device company, leveraged Data Cloud to enhance customer experiences. Amit Guliani, acting CTO, says: “Unified data helps us move from insights to action—delivering personalized solutions that simplify life for people with diabetes.” Industry Recognition & Real-World Impact Salesforce Data Cloud has been named a Leader in the 2025 Gartner Magic Quadrant for Customer Data Platforms and praised by IDC, Forrester, and Constellation Research. Wyndham Hotels & Resorts uses it to transform guest experiences. Scott Strickland, Chief Commercial Officer, shares: “Data Cloud gives our agents a unified view of reservations, loyalty, and CRM data—letting us anticipate needs and personalize stays across thousands of properties.” The Future: Agentic AI Powered by Real-Time Data Data Cloud is the foundation for autonomous AI agents, enabling:🔹 Proactive workflows (agents triggered by customer behavior)🔹 Self-optimizing operations (automated risk detection, dynamic responses)🔹 Trusted governance (GDPR compliance, access controls, security) Adam Berlew, CMO at Equinix, notes: “Data Cloud is shifting our marketing strategy, enabling AI-powered personalization and automation at scale—key to our competitive edge.” Conclusion: AI Runs on Unified Data As businesses transition to AI-first models, Salesforce Data Cloud ensures:✅ Agents act autonomously with real-time, trusted data✅ Humans focus on strategy while AI handles routine tasks✅ Every interaction is hyper-personalized With $900M in ARR and rapid enterprise adoption, Data Cloud is proving to be the essential engine for the next wave of AI-driven business. Key Takeaways: Salesforce Data Cloud isn’t just unifying data—it’s powering the future of intelligent business. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

May 24, 2025in Agentic AI, Data, Enterprise, Salesforce, Salesforce Data Cloud, Snowflake0 Comments

22May

Indeed Partners with Salesforce to Revolutionize Employer Support with AI-Powered Agentforce

Streamlining Employer Onboarding Through Intelligent Automation Salesforce has announced that Indeed — the world’s #1 job site with 610 million job seeker profiles and 3.3 million active employers — is implementing Agentforce to transform its employer support operations. By deploying AI-powered digital labor, Indeed aims to automate routine onboarding tasks, reduce response times, and free up human teams to focus on high-value employer relationships that accelerate hiring. The Challenge: Scaling Employer Support Efficiently The Solution: AI Agents That Work Alongside Human Teams Indeed is leveraging Salesforce Agentforce to:✔ Autonomously resolve routine employer inquiries✔ Guide users in real time through account verification & job posting fixes✔ Reduce manual workloads for support staff by ~20-30% Example Use Case:When an employer’s job post gets flagged (e.g., for a too-short description), they can simply ask the AI agent—in plain language—why it was rejected. The agent instantly explains the issue and provides step-by-step resolution guidance. The Technology Stack Powering Indeed’s AI Transformation The Impact: From Administrative Burden to Strategic Relationships “By automating repetitive tasks with Agentforce, we’re empowering our teams to do what humans do best—build trust and solve meaningful problems,” said an Indeed spokesperson. “This isn’t about replacing people; it’s about augmenting them with AI superpowers.” The Future of AI in HR Tech Indeed’s deployment showcases how autonomous AI agents are transforming talent acquisition by: As more enterprises adopt digital labor platforms like Agentforce, expect to see similar AI-driven efficiencies across:✓ Candidate screening✓ Interview scheduling✓ Compliance verification Industry Outlook:*With 72% of HR leaders planning to increase AI adoption in 2024 (Gartner), Indeed’s move positions it as a frontrunner in the AI-powered recruitment revolution.* Ready to explore AI agents for your HR operations? Contact Tectonic. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

May 22, 2025in Data, Enterprise, Mulesoft, Salesforce, Salesforce Data Cloud, Technology0 Comments

16May

Tableau Next: The Autonomous Future of Analytics

The way businesses harness data is undergoing a revolution—one where AI-driven insights seamlessly integrate with human decision-making. Tableau Next, the next evolution of Tableau powered by the Salesforce Platform and deeply integrated with Agentforce, is leading this transformation. With AI agents embedded directly into analytics workflows, Tableau Next delivers proactive, predictive, and actionable insights—helping organizations make faster, smarter decisions from trusted, unified data. What is Tableau Next? Tableau Next is the first agentic analytics platform, combining self-service analytics with AI-driven automation to deliver insights where you work. Built on the Salesforce Platform, it offers: ✅ Modular, composable analytics – Reusable components, AI-powered semantics, and consistent data across every workflow.✅ Embedded AI agents – Tableau Agent and Tableau Pulse work together to surface intelligent insights in real time.✅ Trusted, governed data – A unified metadata framework ensures accuracy and transparency.✅ Scalable, secure infrastructure – Powered by Data Cloud and Zero Copy Partner Network for seamless, cost-effective data integration. This isn’t just analytics—it’s autonomous intelligence that evolves with your business. Why Tableau Next? 1. AI Agents Bring Insights Where You Work Most companies struggle with insight overload—critical data gets buried in dashboards, lost in reports, or ignored because it doesn’t fit into daily workflows. Tableau Next changes that by:🔹 Pushing AI-driven insights directly into your workflow—no searching required.🔹 Forecasting trends with predictive and generative AI.🔹 Automating actions—so every team, from analysts to executives, can act faster. 2. Tableau Semantics: Trusted, Context-Rich Data Bad data leads to bad decisions. Tableau Next ensures every insight is grounded in accurate, contextualized data with:🔹 AI-enriched metadata – Business meaning is built into every dataset.🔹 Full data lineage – See where data comes from and how it’s processed.🔹 Consistent business language – No more confusion over metrics or KPIs. 3. Real-Time, Scalable Data Without the Headache Data today is scattered, siloed, and expensive to manage. Tableau Next solves this by:🔹 Connecting to any source—without moving or duplicating data (thanks to Zero Copy Partner Network).🔹 Unifying customer data with Salesforce Data Cloud.🔹 Scaling securely—built on the most trusted platform in enterprise SaaS. 4. Reusable, Composable Analytics for Maximum Flexibility Why rebuild the same dashboards and models repeatedly? Tableau Next introduces:🔹 A marketplace for sharing and discovering reusable analytics assets.🔹 API-driven extensibility—embed analytics into any third-party app.🔹 Custom AI agents tailored to your business needs. The Future of Analytics is Here For 20+ years, Tableau has set the standard for intuitive, powerful analytics. Now, Tableau Next takes it further—integrating AI, automation, and trusted data into every workflow. 🚀 Want to experience it today? Many Tableau Next features are already available in Tableau+, including:✔ Data Cloud for unified data modeling✔ Tableau Semantics for business context✔ Tableau Pulse for personalized metrics✔ Tableau Agent for AI-powered analytics The era of autonomous analytics has arrived. Are you ready? 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

May 16, 2025in Data, Enterprise, Generative AI, Salesforce, Salesforce Data Cloud0 Comments

08May

Salesforce Tackles Enterprise AI Reliability with Enterprise General Intelligence (EGI)

As businesses increasingly adopt AI, a critical challenge has emerged: inconsistent performance in real-world applications. Salesforce calls this phenomenon “jagged intelligence”—where AI excels in controlled environments but falters under dynamic enterprise demands. To address this, Salesforce is pioneering Enterprise General Intelligence (EGI), a new framework designed to ensure AI is not just powerful but reliable, consistent, and safe for business use. Why Enterprise AI Needs a New Approach Traditional AI benchmarks often fail to reflect real-world enterprise needs. Issues like: …have made many companies hesitant to fully deploy AI at scale. Salesforce’s EGI rethinks AI alignment for enterprises, prioritizing:✔ Consistency – Reliable performance across diverse business cases✔ Specialization – Task-specific AI models over generic LLMs✔ Safety & Governance – Built-in guardrails for compliance Key Innovations Powering EGI 1. SIMPLE: Measuring AI Consistency Salesforce’s SIMPLE dataset (225 reasoning questions) evaluates how AI performs under varying conditions—helping identify and fix inconsistencies before deployment. 2. CRMArena: Real-World AI Testing This benchmarking framework simulates authentic CRM scenarios (service agents, analysts, managers) to ensure AI adapts to real business needs—not just lab conditions. 3. SFR-Embedding: Smarter Enterprise AI A new embedding model (ranked #1 on MTEB’s 56-dataset benchmark) enhances AI’s ability to understand complex business data, improving decision-making in Salesforce Data Cloud. 4. xLAM V2: AI That Takes Action Unlike text-only LLMs, Large Action Models (xLAM V2) predict and execute enterprise tasks—optimizing everything from inventory management to financial forecasting with high precision. 5. SFR-Guard & ContextualJudgeBench: AI Safety Co-Innovation: Doubling AI Accuracy with Customer Feedback Salesforce’s customer-driven development has already doubled AI accuracy in key applications. Itai Asseo, Senior Director of Incubation & Brand Strategy at Salesforce: “By working directly with enterprises, we’ve refined AI to outperform competitors in real-world use cases—boosting both performance and trust.” The Future of Enterprise AI Salesforce’s EGI framework is setting a new standard: AI that works as reliably in business as it does in theory. For telecom and tech leaders, this means:✅ Fewer AI surprises – Consistent, predictable outputs✅ Higher ROI – Specialized models for key workflows✅ Stronger compliance – Built-in governance & safety As AI evolves, Salesforce is ensuring enterprises don’t just adopt AI—they can depend on it. Next Steps: The era of reliable enterprise AI is here. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

May 8, 2025in Data, Enterprise, Salesforce, Salesforce Data Cloud0 Comments

07May

Streamline Data Collection from Connected Vehicles and Assets with AWS and Salesforce

Unlock Real-Time Insights with AWS IoT and Salesforce Industry Clouds This guide explains how to gather, process, and distribute data from connected vehicles and industrial assets—such as manufacturing equipment or utility meters—into Salesforce Industry Cloud solutions using Amazon Web Services (AWS). Key AWS IoT Services for Data Collection By leveraging these services, businesses can integrate telemetry data into: Why This Integration Matters Strong customer relationships rely on real-time insights. Automakers, manufacturers, and utility providers can enhance customer interactions by unifying telemetry data with CRM workflows—enabling smarter marketing, sales, and service decisions. Prerequisites To integrate AWS IoT with Salesforce, you’ll need: AWS Services Salesforce Requirements Use Cases 1. Predictive Maintenance with AWS & Salesforce 2. In-Car Notifications 3. On-Demand Vehicle/Asset Health Insights 4. Data-Driven Customer Engagement Solution Architecture Data Flow Overview Implementation Steps 1. Set Up AWS IoT Rules 2. Configure Salesforce Event Handling 3. Enable Real-Time Analytics Conclusion By integrating AWS IoT with Salesforce Industry Clouds, businesses can:✔ Improve operational efficiency with predictive maintenance.✔ Enhance customer experiences through real-time alerts and diagnostics.✔ Drive data-driven decisions with unified analytics. Next Steps: Empower your teams with real-time IoT insights—start building today! 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

May 7, 2025in Data, Mulesoft, Salesforce, Salesforce Automotive Cloud, Salesforce Data Cloud, Salesforce Manufacturing Cloud0 Comments

05May

Salesforce Launches AI-Powered Agentforce for HR Service to Transform Employee Support

Salesforce Inc. (NYSE: CRM) today unveiled Agentforce for HR Service, a new AI-powered solution designed to revolutionize employee support by automating routine HR tasks and delivering personalized, conversational assistance. Built on Salesforce’s existing HR Service platform, Agentforce for HR Service integrates directly into Slack and Employee Portals, enabling workers to manage common requests—such as time-off approvals, benefits updates, and payroll inquiries—through natural language interactions. For more sensitive or complex issues, the AI seamlessly hands off conversations to human HR representatives with full context, ensuring a smooth transition. AI as a Digital HR Partner HR teams are under increasing pressure, with 57% of professionals reporting they are overcapacity, according to a 2024 Society for Human Resource Management (SHRM) study. Agentforce aims to alleviate this strain by handling high-volume, repetitive tasks while allowing HR specialists to focus on strategic initiatives and employee well-being. Key capabilities include: Proven Results at Salesforce Salesforce has already deployed Agentforce for HR internally, reporting a 96% self-service resolution rate across nearly 10 million employee inquiries. “The future of work is humans and agents collaborating,” said Nathalie Scardino, President and Chief People Officer at Salesforce. “We’re leading this shift by empowering HR teams to scale support while maintaining a human touch.” Industry Adoption Underway Early adopters like Indeed Inc. are already using Agentforce to streamline hiring and employee support. Analysts see strong potential for AI to redefine HR efficiency. “HR, like every department, is being asked to do more with less,” noted Rebecca Wettemann, Principal Analyst at Valoir. “Agentforce enables HR teams to deliver faster, more consistent support by centralizing data and automating workflows.” Availability Agentforce for HR Service is now available via the Agentforce Platform, HR Service Console, and Employee Portal, with Slack integration coming in June. For more details, visit Salesforce.com. About SalesforceSalesforce is the global leader in CRM, empowering companies to connect with customers in a whole new way. For more information, visit Salesforce News. Why This Matters Salesforce’s latest innovation underscores its commitment to AI-driven productivity, positioning HR as the next frontier for agentic AI adoption. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

May 5, 2025in Agentforce Platform, Agentic AI, Data, Salesforce, Salesforce Data Cloud0 Comments

24Apr

Salesforce Integrates Own Co. Capabilities

Salesforce Integrates Own Co. Capabilities to Strengthen Data Resilience, Security, and AI Readiness Salesforce has fully integrated Own Co.’s data backup, recovery, and security solutions into its platform, equipping partners and customers with enhanced tools for data resilience, compliance, and security—critical foundations as businesses adopt AI-driven solutions. Marla Hay, Vice President of Product Management for Security, Privacy, and Data Management at Salesforce, emphasized in an interview with CRN that these new capabilities are essential as partners guide customers through AI adoption. “Before launching any major AI initiative, ensuring robust data backup and hygiene is critical,” Hay said. “With AI and autonomous agents, the quality of insights depends entirely on the integrity of your data. These new tools help businesses minimize risk while maximizing AI’s potential.” Key Enhancements for AI and Security The integration empowers solution providers to: “Clean, well-managed data isn’t just about compliance—it accelerates operations, enhances customer experiences, and ensures accuracy,” Hay added. Salesforce announced its acquisition of Own Co. in September 2023, bringing over 7,000 customers into its ecosystem. The newly integrated features include: 1. Secure Data Masking & Sandbox Testing 2. Enhanced Monitoring & Threat Detection 3. Robust Backup & Recovery 4. AI-Ready Data Insights with Salesforce Discover 5. Cost-Efficient Data Archiving Why This Matters for AI Adoption As businesses increasingly rely on AI agents and predictive analytics, ensuring data integrity, security, and recoverability is non-negotiable. Salesforce’s integration of Own Co.’s capabilities provides a low-risk pathway to cleaner, more resilient data—ultimately leading to: For partners and customers, these enhancements mean smoother AI deployments, reduced risk, and better business outcomes. Interested in leveraging these new capabilities? Contact Tectonic today. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

April 24, 2025in Agentforce Platform, Data, Salesforce, Salesforce Data Cloud, Salesforce Shield, Salesforce Tableau0 Comments

14Apr

What Does the Salesforce Google Cloud Partnership Mean?

Salesforce and Google Cloud Expand AI Partnership: What It Means for Your Business Enterprise AI is evolving at an unprecedented pace. This week, Salesforce and Google Cloud announced a major expansion of their strategic partnership, promising to give businesses greater flexibility, power, and choice in building AI-driven customer experiences and data strategies. This collaboration isn’t just about new technology—it’s about reimagining how businesses engage customers, unlock insights, and drive efficiency with AI. But what does that mean in practical terms? Let’s break down the top key opportunities. Why This Matters for Your Business In today’s business arena, AI isn’t just an advantage—it’s a necessity. With this partnership, businesses can: ✅ Unify Data Seamlessly – Break down silos with a zero-copy architecture, eliminating data fragmentation.✅ Leverage AI Flexibility – Choose predictive, generative, and multi-modal AI models without vendor lock-in.✅ Ensure Trust & Security – Use bias detection, explainability tools, and enterprise-grade security.✅ Streamline Workflows – Automate processes across Salesforce, Google Cloud, and other key platforms. This partnership isn’t just about adding AI—it’s about creating an intelligent, unified ecosystem that connects data, applications, and AI models. AI in Action: How Businesses Can Benefit 1️⃣ Smarter, Faster Customer Support with AI Agents With Salesforce Agentforce powered by Google Gemini AI, businesses can deploy multi-modal AI agents that handle text, images, audio, and video, creating more natural and intelligent customer interactions. 🔹 AI-Powered Insurance ClaimsA customer submits an insurance claim by uploading images of car damage and leaving an audio voicemail. Agentforce can:✔️ Analyze both the image and audio to assess the claim.✔️ Cross-check details using real-time Google Search grounding.✔️ Generate a claim recommendation in seconds, reducing wait times. 🔹 AI-Driven Contact CentersSupport agents struggle to gauge frustration over the phone. With Google Cloud AI in Service Cloud, businesses can:✔️ Analyze tone and sentiment in real time.✔️ Escalate calls automatically when frustration is detected.✔️ Provide AI coaching to help agents respond effectively. 2️⃣ Proactive Business Insights: AI That Thinks Ahead AI doesn’t just respond to customer needs—it anticipates them. By integrating Salesforce Data Cloud with Google BigQuery and Vertex AI, businesses can predict and prevent issues before they arise. 🔹 AI-Powered Supply Chain Risk DetectionA global retailer can:✔️ Monitor real-time risks (weather, port congestion, geopolitical issues).✔️ Predict delays before they happen.✔️ Automatically adjust supply routes to minimize disruptions. 🔹 AI-Driven Sales Forecasting & Lead ScoringWith Gemini AI inside Agentforce, sales teams can:✔️ Predict lead conversion rates with AI-driven analytics.✔️ Analyze customer intent from emails, calls, and social interactions.✔️ Get AI-powered recommendations to optimize outreach. 3️⃣ Hyper-Personalized Customer Experiences Customers expect brands to know them. With Salesforce Data Cloud + Google AI, businesses can deliver personalized experiences at scale. 🔹 AI-Powered Shopping AssistantsA luxury e-commerce brand can:✔️ Let customers upload a photo of an item they love.✔️ Use AI to identify similar products and make recommendations.✔️ Incorporate real-time sentiment analysis to refine suggestions. 🔹 AI-Driven Dynamic Pricing & PromotionsA travel company using Salesforce Data Cloud + Vertex AI can:✔️ Analyze real-time demand, competitor pricing, and customer behavior.✔️ Dynamically adjust pricing and offer personalized promotions.✔️ Deploy A/B tests to optimize revenue strategies. 4️⃣ A Unified Data Strategy for Smarter Decisions The biggest advantage of this partnership? Seamless connectivity between Salesforce Data Cloud, Vertex AI, BigQuery, Tableau, and Looker, creating AI-powered business intelligence. 🔹 AI-Powered Business DashboardsA global enterprise with multiple CRM and ERP systems can:✔️ Consolidate real-time data without duplication.✔️ Use AI-powered insights to surface key trends.✔️ Automate predictive analytics dashboards for proactive decision-making. 🔹 AI-Driven Revenue IntelligenceA SaaS company can:✔️ Analyze churn risk and upsell opportunities.✔️ Use AI-driven insights to optimize sales and marketing.✔️ Deploy custom Vertex AI models directly in Salesforce workflows. The Takeaway The Salesforce-Google Cloud partnership brings unmatched AI and data capabilities to businesses, enabling: ✅ Seamless data unification for smarter decision-making.✅ AI-powered automation to reduce workload and drive efficiency.✅ Advanced AI models for hyper-personalized customer experiences. As AI adoption accelerates, businesses that invest in the right strategy today will lead tomorrow. With Salesforce Data Cloud and Google Vertex AI, companies can embrace AI confidently, break down data silos, and drive transformation like never before. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

April 14, 2025in Data, Enterprise, Google, Google Analytics, Salesforce, Salesforce Data Cloud, Technology

11Apr

CaixaBank and Salesforce Partner to Revolutionize Banking with AI-Powered Personalization

Barcelona – CaixaBank, Spain’s leading digital bank, has deepened its collaboration with Salesforce to redefine customer experience through AI-driven personalization and data intelligence. The partnership will integrate Salesforce’s Agentforce AI assistants and Data Cloud solutions into CaixaBank’s operations, enhancing efficiency, decision-making, and customer engagement. Transforming Banking with AI Assistants and Real-Time Data Under the agreement, CaixaBank will deploy Salesforce’s Agentforce—a suite of AI-powered virtual assistants designed to: Additionally, Salesforce Data Cloud will enable real-time data unification, ensuring secure, instant access to customer insights for hyper-personalized interactions. Use Case: AI-Powered Remote Contracting Assistant A flagship implementation is CaixaBank’s Remote Contracting Support Assistant, which leverages generative AI to: The assistant will soon evolve into an Agentforce AI agent, autonomously suggesting products, scheduling follow-ups, and promoting tailored offers. Why This Matters CaixaBank’s AI Leadership With 100+ dedicated AI specialists, CaixaBank is a pioneer in generative AI for finance, already deploying cognitive assistants and now scaling transformative use cases. Looking Ahead: The partnership will expand Salesforce’s role as CaixaBank’s centralized platform for sales and service, with further AI integrations underway. Key Takeaways:🔹 Agentforce AI automates service and empowers advisors.🔹 Data Cloud unlocks real-time, secure customer insights.🔹 Remote Contracting Assistant cuts wait times to <2 minutes.🔹 CaixaBank cements its status as Spain’s top digital bank. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

April 11, 2025in Data, Generative AI, Salesforce, Salesforce Data Cloud

07Apr

AI Revolution in Field Service

AI Revolution in Field Service: How Agentforce is Freeing Technicians from Admin Overload New research reveals a staggering productivity drain: Tradespeople and technicians waste nearly a full workday each week on manual data entry, paperwork, and scheduling—costing businesses thousands in lost productivity. Key Findings from Salesforce’s Survey 🔹 30% of a technician’s time is spent on admin tasks (vs. 28% on actual service work).🔹 37% of workers say paperwork keeps them from their core jobs.🔹 2 in 3 technicians experience monthly burnout—rising to 71% in manufacturing and 72% in the public sector.🔹 For a 1,000-person team, this inefficiency costs over $260,000 weekly (based on avg. US wages). “AI isn’t just helpful—it’s essential. Agentforce takes the busywork off technicians’ plates so they can focus on keeping our world running.”—Taksina Eammano, EVP & GM of Field Service, Salesforce Agentforce for Field Service: AI That Works Alongside Technicians Salesforce’s new AI-powered field agent tackles the biggest pain points: ✅ Smart Scheduling – Reduces 47% of appointment conflicts (available May 2025)✅ Automated Work Summaries – Instantly documents job details✅ Real-Time Troubleshooting – On-site AI assistance (launching June 2025)✅ Permit & Compliance Automation – Cuts paperwork delays Powered by Salesforce Data Cloud, Agentforce executes tasks like: Why This Matters Now With rising labor shortages and sky-high service demands, businesses can’t afford inefficiency. Agentforce: 🔹 Saves thousands in lost productivity🔹 Reduces technician burnout🔹 Speeds up service delivery Available now, with expanded features rolling out through mid-2025. #FieldService #AI #Productivity #Salesforce #Agentforce #FutureOfWork 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

April 7, 2025in Agentforce Platform, Data, Salesforce, Salesforce Data Cloud

20Mar

Unify Your Data Silos

Unify Your Data Silos: Deliver Connected, Personalized Experiences 🔹 65% of customers expect businesses to tailor experiences to their evolving needs. (State of Data and Analytics Report, 2023) Have you ever received a marketing promotion for something you just bought? Or had to repeat your purchase history before getting help from customer service? These disjointed experiences frustrate customers and result from data silos that prevent a unified view of the customer journey. With enterprises using over 1,000 applications on average, data ecosystems are highly complex. Many businesses attempt to centralize data in lakes, warehouses, or lakehouses, yet 73% of enterprise data remains unused for analytics (Forrester). Why? Because much of this data stays locked in backend systems, failing to power the real-time applications and workflows that drive customer engagement and business success. Break Down Data Silos to Create Seamless Customer Experiences By unifying your data, you can personalize every interaction—from online reviews and service records to browsing history and purchases. And by securely activating this data within your CRM and AI-driven workflows, you can deliver smarter, faster, and more impactful customer experiences. Unlock Business Growth with Unified Data When your teams have access to a complete, real-time customer profile, they can turn insights into action across every touchpoint: ✅ Sales Teams receive real-time guidance during calls, offering tailored recommendations based on customer behavior.✅ Service Agents proactively address issues with instant alerts and AI-powered resolutions.✅ Marketers deliver personalized, cross-channel messaging, adapting dynamically to customer actions.✅ Retailers optimize shopping experiences by responding in real time to cart abandonment and browsing patterns.✅ IT Teams build real-time apps to detect fraud, assess economic trends, and enhance security. Checklist: Build a 360° View of Your Customer ✅ Basic Data: Demographics, job title, email, and IP address.✅ Interaction Data: Email opens, website visits, CTRs, customer service calls, and social media activity.✅ Behavioral & Attitudinal Data: Purchase history, order values, survey feedback, and online reviews. Turn Raw Data Into Actionable Insights with Data Cloud Data Cloud transforms fragmented data into a single, trusted source of truth, deeply integrated with the Salesforce Platform. It enables organizations to: ✔ Connect and unify all customer data without complex data pipelines.✔ Activate insights in real-time across sales, service, and marketing workflows.✔ Power trusted AI solutions using all enterprise data for better decision-making. See How Formula 1 Uses Data to Drive Fan Engagement 📺 Watch how F1 personalizes fan experiences “With over 500 million fans worldwide, we needed personalized journeys and always-on capabilities.”— Matthew Kemp, Senior CRM & Customer Operations Manager, F1 Checklist: Unite Your Data for Better Customer Experiences ✔ Make data easy to store, manage, and analyze from any source.✔ Think holistically about behavioral, interaction, and attitudinal data.✔ Use a platform that transforms raw data into actionable insights.✔ Audit your systems for data silos causing disconnected experiences.✔ Ensure data is accessible in everyday workflows with trusted solutions like Data Cloud. 📊 Data-driven businesses don’t just manage customer experiences—they revolutionize them. 🚀 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

March 20, 2025in Data, Enterprise, Salesforce Data Cloud

18Mar

The Future of Real-Time Customer Intelligence

Salesforce Data Cloud Today: The Future of Real-Time Customer Intelligence Imagine a CRM That Knows Your Customers Better Than You Do The future of real-time customer intelligence is here now. What if your CRM could:✔️ Track every customer interaction in real time—purchases, social media activity, support tickets✔️ Predict their next move before they make it✔️ Automatically trigger hyper-personalized marketing, sales, and service actions that deliver incredible experiences That’s Salesforce Data Cloud (formerly known as Salesforce Genie)—an AI-powered Customer Data Platform (CDP) that turns raw data into real-time customer intelligence. Why Data Cloud is The Future of Real-Time Customer Intelligence Businesses today are drowning in data but starving for insights. Traditional CRMs rely on outdated, siloed information—leading to missed opportunities and generic customer experiences. Salesforce Data Cloud solves this by:🔹 Unifying data from every source (CRM, eCommerce, IoT, social media, third-party apps)🔹 Resolving duplicates into a single, dynamic customer profile🔸 Predicting behavior with Einstein AI to automate next-best actions🔺 Acting in real time—no more batch processing delays Example: Starbucks-Level Personalization (Without the Big Data Team) Starbucks uses a CDP to track your orders, app usage, and location to send personalized offers when you’re near a store.With Data Cloud, any business—big or small—can do the same. Generic communication is so 2020. Get with the times with Salesforce Data Cloud! How Salesforce Data Cloud Works (2025 Edition) 1. Data Ingestion: Bring Every Customer Signal Together Data Cloud connects:✔️ Salesforce records (Leads, Cases, Opportunities)✔️ External platforms (Shopify, Google Analytics, Meta Ads)✔️ IoT & live streams (smart devices, chatbots, in-store sensors) Example: A retailer tracks online purchases, in-store visits, and support chats—all in one profile. 2. Identity Resolution: No More Duplicate or Messy Data Ever had “John Smith” in your system five times? Data Cloud’s AI:✔️ Merges duplicates into one accurate profile✔️ Unifies all interactions (website visits, emails, purchases) 3. Real-Time Segmentation: Instant Customer Groups Forget manual reports—Data Cloud auto-creates segments like:🎯 “High-value customers who haven’t bought in 30 days”🎯 “Mobile app users at risk of churning” Example: A travel agent spots VIP clients searching for luxury trips and sends a personalized offer within seconds. 4. AI-Powered Actions: The Brain Behind the Scenes Einstein AI analyzes data and recommends:📞 Sales: “Call this lead now—90% chance to convert!”✉️ Marketing: “Send a discount—they’re price-sensitive.”🛠️ Service: “Their device is malfunctioning—proactively offer help.” Imagine the power at your fingertips with a CDP that intuitively advises next best actions with data-driven insights! Real-World Use Cases (2025 Success Stories) 1. Hyper-Personalized Retail Experiences ❌ Problem: A faurniture brand’s online & offline data were siloed, leading to generic promotions.✅ Solution: Data Cloud unifies: 2. Smarter B2B Sales Engagement ❌ Problem: A SaaS company lost deals because reps didn’t know the best time to follow up.✅ Solution: Data Cloud tracks: 3. Predictive Customer Service (Banking & Healthcare) ❌ Problem: Customers only reported issues when it was too late.✅ Solution: Data Cloud detects:🏦 Banking: “Unusual login attempt → Freeze account & text customer”🏥 Healthcare: “Missed prescription refill → Send automated reminder”📈 Result: 50% fewer escalations Why Old-School CRM Can’t Compete Traditional CRM Salesforce Data Cloud Static, siloed data Real-time unified profiles Manual segmentation AI-driven auto-segmentation Batch processing Instant triggers & actions Generic experiences Hyper-personalized engagement Think of it like upgrading from a flip phone to an AI assistant. How to Get Started in 2025 1️⃣ Check Compatibility (Available in Unlimited, Performance, Enterprise+ editions)2️⃣ Connect Key Data Sources (Start with Marketing Cloud, eCommerce platforms)3️⃣ Define Priority Segments (e.g., repeat buyers, at-risk customers)4️⃣ Automate Actions (Use Salesforce Flow + Einstein AI) 💡 Pro Tip: Pilot with one department (e.g., marketing) before scaling. The Future of Data Cloud (Beyond 2025) 🔮 Voice & AR Integration – Customers ask a voice assistant for help, and Data Cloud instantly pulls their full history.🔒 Blockchain-Powered Security – Decentralized identity verification to prevent fraud.🤖 AI-Generated Content – Einstein crafts personalized emails, ads, and product recs dynamically. Is Salesforce Data Cloud Worth It? ✅ For Marketers: 1:1 personalization at scale✅ For Sales Teams: Close deals faster with AI insights✅ For Service Teams: Solve issues before customers complain The future of CRM is real-time, AI-driven, and frictionless.Are you still relying on static data? Contact Tectonic to upgrade! 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

March 18, 2025in Data, Enterprise, Google, Google Analytics, Salesforce, Salesforce Data Cloud, Salesforce Flow

17Mar

Data Cloud and Agentforce

Data Cloud connects and unifies all business data to unlock trapped value. By activating data with insights and automation across customer touchpoints, Data Cloud builds a 360-degree view of the customer that every team can act on.In addition to powering data-driven automation, Data Cloud is also designed to fuel safer, smarter AI responses.With Agentforce, you can build agents that respond and act autonomously based on secure, real-time data. The next wave of AI is here and it’s called agentic AI.Combining humans, AI, data and CRM, Agentforce lets you build and customize autonomous AI agents that work 24/7 to support employees and customers.And your Agentforce journey begins with Data Cloud. Why? Because AI is only as effective as the data it’s fed.Data Cloud acts as your private source of truth, providing trusted, secure, and unified data for your AI agents to act on. With this, agents can:● Analyze information in real time● Make smart, data-driven decisions● Automate complex tasks to enhance customer and employee experiences Interested to learn more? Learn more about Agentforce here. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

March 17, 2025in Agentforce Platform, Agentic AI, AI Automated Decision Making, AI Tools, Artificial Intelligence, Artificial Intelligence, Data, Salesforce Data Cloud

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