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Salesforce Data Cloud Innovations Announced
01Oct

Salesforce Data Cloud Innovations Announced

Salesforce Data Cloud Drives Customer Experience Transformation with New Data and AI Innovations Salesforce has unveiled new innovations within its Data Cloud, enhancing the way organizations transform customer experiences by leveraging data and AI. Key advancements include expanded support for unstructured data, enabling native processing of audio and video content—such as webinars and calls—to unlock deeper insights into customer behavior. A standardized semantic data model ensures both Agentforce Agents and humans can consistently interpret and use data, while improved search capabilities enhance information discovery by factoring in customer context. Real-time data activations allow organizations to respond instantly to evolving customer needs, and new data security and governance features safeguard operations and prevent data exposure. “In this new era of AI and Agents, customer data and metadata are the new gold for the enterprise,” said Rahul Auradkar, EVP and GM for Data Cloud at Salesforce. “More companies are using Data Cloud to unify all their data—from customer interactions and product usage to IoT and social media data—gaining deeper insights across all touchpoints. Because Data Cloud is foundational to Salesforce, companies can act on this data to deliver personalized, meaningful customer experiences.” Data Cloud integrates with Salesforce Customer 360, Agentforce, Flow, and analytics, providing a trusted data foundation for personalized experiences and real-time analytics. It powers data-driven actions and workflows while securely enabling AI across all Salesforce applications. Leveraging zero-copy technology and MuleSoft connectors, Data Cloud can ingest data from hundreds of sources, including data lakes and warehouses. Integrated into the Salesforce Platform, this metadata seamlessly flows into Salesforce applications, governed by set policies. This gives every team a 360-degree customer view, driving AI, automation, and analytics without compromising security. Data Cloud also enhances Agentforce, providing contextual insights and guiding next-best steps, like automating follow-up emails or sharing detailed chat summaries with human agents. Tableau Semantics bridges the gap between AI and employees, ensuring they operate with consistent data definitions. The following new Data Cloud features will be available across various release stages: For more information, visit www.salesforce.com. 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

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October 1, 2024in Data, Enterprise, Mulesoft, Salesforce, Salesforce Data Cloud, Technology
Data Cloud and Autonomous Agents
25Sep

Data Cloud and Autonomous Agents

Salesforce is building momentum with Data Cloud, the heartbeat of its platform and foundation for Agentforce, fueled by strong business demand for unified data to deliver personalized, contextually relevant, and timely customer experiences across its Customer 360 applications, Flow, analytics, and Agentforce—Salesforce’s groundbreaking suite of autonomous AI agents. This week, Salesforce unveiled a major pivot in its AI strategy during its annual Dreamforce conference. The company is introducing AI tools that can handle tasks without human supervision, alongside a new pricing model. Customers will now pay US per conversation held by Salesforce’s new AI “agents,” which are designed to manage tasks such as customer service and scheduling sales meetings autonomously. This shift in strategy reflects Salesforce’s forward-thinking approach to AI and its potential to transform not only technology but also business models. By focusing on AI agents, Salesforce is responding to a market demand for increased workforce capacity without the need for full-time hires or gig workers—a point emphasized by CEO Marc Benioff during his keynote speech. Building on its predictive Einstein platform, Agentforce represents Salesforce’s next step in AI evolution. “Think of it as the next evolution of our AI wave,” said Muralidhar Krishnaprasad, Salesforce’s president and CTO. “We had AI wave one with Einstein’s predictive capabilities, AI wave two with generative AI copilots, and now we’re entering the age of agents.” Agentforce is designed to augment work by handling tasks across platforms, leveraging Salesforce’s Data Cloud to channel structured and unstructured data into agentic experiences. These agents, powered by the Atlas reasoning engine, use dynamic plans and Retrieval-Augmented Generation (RAG) techniques to address real-time customer questions and deliver actionable insights. Salesforce’s AI agents can operate autonomously, supporting businesses by handling a range of customer interactions and tasks with minimal human intervention. Adding to the AI-driven innovations, Salesforce introduced several new Data Cloud advancements that further enhance an organization’s ability to transform customer experiences using data and AI. These include: Data Cloud continues to drive impressive growth, with a 130% YoY increase in paid customers, processing 2.3 quadrillion records in the second quarter alone. Customers like The Adecco Group, Aston Martin, and Air India rely on Data Cloud to unify their data and deliver personalized, real-time customer experiences. For example, Air India uses Data Cloud to integrate data across its loyalty, reservations, and flight systems, allowing it to manage over 550,000 service cases each month. As AI reshapes the industry, Salesforce’s pivot to autonomous agents and a conversation-based pricing model shows its commitment to leading the charge in enterprise AI adoption, with Data Cloud as its driving force. Despite some software vendors struggling to capitalize on AI advancements, Salesforce’s new model positions it to thrive in a market where AI’s impact is just beginning to unfold. 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

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September 25, 2024in AI Tools, Data, Enterprise, Generative AI, Salesforce, Technology
Introhive Relationship Intelligence Platform
12Sep

Introhive Relationship Intelligence Platform

FREDERICTON, New Brunswick, September 12, 2024 – Introhive, the leading Relationship Intelligence platform, today announced that it is enabling its market leading, AI-Powered Relationship Intelligence for Salesforce Data Cloud empowering clients to understand in real-time the Relationship Intelligence associated with sales Opportunities Bringing Salesforce Data Cloud and AI together for enhanced insights Introhive’s integration brings the Customer 360 vision to life by providing a unified and enriched view of contact and relationship data, enabling organizations to derive advanced insights by overlaying their existing sales opportunities. As a leader in relationship intelligence and CRM data automation, Introhive provides unmatched data accuracy, ensuring reliable insights and actions from Data Cloud applications and AI tools like Salesforce Einstein Copilot. By transforming relationship data into actionable insights, organizations are empowered to make critical business decisions with confidence and turn connections into tangible business value. Enhanced decision-making with Salesforce Data Cloud “Our Relationship Intelligence capability for Salesforce Data Cloud enhances the solution we offer our clients and elevates Introhive’s role as a top-tier Data Ecosystem Partner on the Salesforce platform,” said Lee Blakemore, CEO of Introhive. “Clients will now enjoy all the benefits of Introhive’s Data Share, enhanced by Salesforce’s powerful platform, ensuring real-time access to trusted relationship data. This combination empowers firms to make critical business decisions with confidence and precision.” Lightning Web Components boost Salesforce Data Cloud integration To further strengthen its Salesforce offering, Introhive announced the launch of Lightning Web Components that seamlessly integrate powerful relationship intelligence in users flow of work. This strategic addition elevates relationship intelligence in Salesforce by making insights more contextual, accessible, and actionable. The components dynamically surface relevant relationship data, top contacts, and interaction history directly within Salesforce pages. This allows users to take proactive steps in managing their relationships, resulting in improved productivity, enhanced client retention, and accelerated revenue growth – all without disrupting existing workflows. Addressing data challenges with Salesforce Data Cloud integration In today’s data-driven business environment, organizations rely heavily on analytics for decision-making, recognizing that the quality and timeliness of information are crucial for effective data-driven strategies. Yet, siloed data, information overload, and constant context switching often lead to missed critical relationship insights, impeding businesses from fully leveraging their relationship capital to drive growth, retention, and informed business decisions. Unlocking the full potential of relationship data with Salesforce Data Cloud The addition of Introhive’s lightning web components and Data Cloud integration address these challenges by transforming how businesses manage and activate their relationship data to fuel business insights and inform decision making. This includes identifying open opportunities based on relationship strength and leveraging the best connected individuals to target accounts for strategic decision making and warm introductions. “With our integration with Salesforce Data Cloud, we’re tackling a major challenge businesses face: fully unlocking the value of their relationship data,” said Leyla Samiee, Chief Product Officer at Introhive. “Our goal is to eliminate data silos that hinder organizations from obtaining crucial relationship insights. By consistently delivering clean, reliable data, we’ve been leading this charge. This new partnership takes our efforts further by enabling smooth integration of data and interactions across various systems that impact our clients’ goals. Our Lightning Web Components, now enhanced with machine intelligence, provide real-time, actionable insights more efficiently. Through our collaboration with Salesforce Data Cloud, these services are integrated with Salesforce’s interactive platforms, offering improved visibility into relationship strength and key connections. This empowers organizations to strategically engage with their most valuable accounts, fostering growth and maximizing their relationship capital.” Salesforce Data Cloud empowers growth across industries As Salesforce maintains its position as the global CRM leader, Introhive’s enhanced offering strategically empowers organizations across industries such as accounting, consulting, legal and commercial real estate, to fully capitalize on their collective relationship network to drive their business forward. For more information about Introhive’s Data Cloud integration and Lightning Web Components, visit our website. About Introhive Introhive is the leading Relationship Intelligence Platform that empowers professional services firms to dismantle silos, fuel their CRM, and activate relationship data to foster collaboration and increase revenue. Trusted by world-renowned brands, Introhive supports over 750,000 users in 90+ countries. With offices in the US, Canada, and the UK, we’re committed to helping businesses optimize their revenue opportunities. Learn more at www.introhive.com. 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

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September 12, 2024in Salesforce
Einstein Features Cheat Sheet
10Sep

Einstein Features Cheat Sheet

Salesforce has published a great resource for Einstein users. The Einstein Cheat Sheet puts all the Einstein features and resources at your fingertips. Download here. Einstein Discover the power of the #1 AI for CRM with Einstein. Built into the Salesforce Platform, Einstein uses powerful machine learning and large language models to personalize customer interactions and make employees more productive. With Einstein powering the Customer 360, teams can accelerate time to value, predict outcomes, and automatically generate contentwithin the flow of work. Einstein is for everyone, empowering business users, Salesforce Admins and Developers to embed AI into every experience with low code. 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

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September 10, 2024in Salesforce
Connected Vehicles
29Aug

Connected Vehicles

Revolutionizing the Automotive Industry: Salesforce’s Connected Car App The automotive industry has always been a beacon of innovation, consistently pushing the boundaries to enhance the driving experience. From the iconic Model T and the assembly line to today’s electric and autonomous vehicles, the evolution of automobiles has been driven by an unyielding pursuit of progress. I actually purchased a new-to-me car today, and with the connected vehicle on the horizon I’m kind of glad I’ll be able to upgrade in a couple years. Bluetooth and back up cameras are great. But a car that can tell the dealership to get me on the horn before some automotive calamity occurs? The future is here, my friends. Connected Vehicles for Better Experiences Now, as digital transformation reshapes industries, a new chapter is emerging in automotive innovation: the connected car. Leading this charge is Salesforce, a global powerhouse in customer relationship management (CRM), with the introduction of its groundbreaking Connected Car App, poised to redefine in-car experiences for both drivers and passengers. From my personal buying experience today, the car business could use some customer relationship management! The Future of In-Car Connectivity Salesforce’s Connected Car App is more than just a technological enhancement; it represents a fundamental shift in how we interact with our vehicles. By leveraging Salesforce’s Customer 360 platform, this app creates personalized, engaging experiences that go far beyond traditional automotive features. The Connected Car App is designed to make every journey more intuitive and efficient, offering real-time insights and services tailored to the unique needs of each driver. Whether it’s maintenance alerts, optimized route suggestions based on traffic, or personalized entertainment options, the app transforms the car into a truly smart companion on the road. A GPS feature? I guess I can plan on deleting Waze off my phone in the near future! Powered by Salesforce Customer 360 At the heart of the Connected Car App is Salesforce’s Customer 360 platform, which delivers a comprehensive, 360-degree view of each customer. This integration ensures that the app provides tailored experiences based on a deep understanding of the driver’s preferences, habits, and history. It isn’t going to just know you by a vehicle loan number, a VIN number, or even just an email address. For instance, a driver who frequently takes long road trips might receive customized recommendations for rest stops, dining options, and attractions along their route. Meanwhile, commuters could benefit from real-time updates on traffic, weather, and parking availability. The app’s ability to anticipate and respond to the driver’s needs in real time distinguishes it from traditional in-car systems. I can just hear my car now, advising me it has been one hour since I stopped for coffee, and she’s worried about my sanity. Enhancing Customer Loyalty and Satisfaction with Connected Vehicles The Connected Car App offers significant potential to boost customer loyalty and satisfaction. By delivering a personalized driving experience, automakers can strengthen relationships with customers, transforming each driving journey into an opportunity to build brand loyalty. If Toyota is suddenly going to treat me like Shannan Hearne instead of customer # xxxxx would be ecstatic. Additionally, the app’s capability to collect and analyze data in real time opens new avenues for automakers to engage with their customers. Predictive maintenance reminders, targeted promotions, and special offers are just a few examples of how the app fosters a deeper connection between the brand and the driver. Oh, yeah. My connected vehicle app is DEFINITELY going to be talking to me about changing my oil (I’m not exactly diligent), how great the latest model of Toyota is (I drove a Corolla for 18 years and have also owned a Tacoma, a Tundra, and a Prius), and if it would add coffee coupons I would be golden. A New Era of Automotive Innovation Salesforce’s Connected Car App marks a pivotal moment in the automotive industry’s digital transformation. As vehicles become increasingly connected, the opportunities for innovation are boundless. Salesforce is at the forefront with a solution that not only enhances the driving experience but also empowers automakers to build stronger, more meaningful relationships with their customers. In a world where customer expectations are constantly growing, the Connected Car App is a game-changer. Customers, even car owners, expect their brands to know them and recognize them. By integrating Salesforce’s CRM capabilities directly into vehicles, the app creates a seamless, personalized experience that stands out. As we look ahead, it’s clear that the Connected Car App is just the beginning of an exciting new era of automotive innovation. As a marketer at heart and a technologist by trade, I’m really excited about the potential here. Connected Vehicle: A Unified Digital Foundation Salesforce’s Connected Vehicle platform provides automakers with a unified, intelligent digital foundation, enabling them to reduce development time and roll out features and updates faster than ever before. This platform allows seamless integration of vehicle, Internet of Things (IoT), driver, and retail data from various sources, including AWS IoT FleetWise and Snapdragon® Car-to-Cloud Connected Services Platform, to enhance driver experiences and ensure smooth vehicle operation. Can you imagine a smart app like the Connected Vehicle talking to your loyalty apps for gas stations, convenience stores, and grocery stores? I would be driving down the interstate and the app will tell me there is a Starbucks ahead AND I have a 10% off coupon. Automakers and mobility leaders like Sony Honda Mobility are already exploring the use of Connected Vehicle to deliver better experiences for their customers. The platform’s ability to access and integrate data from any source in near real time allows automakers to personalize driver experiences, in-car offers, and safety upgrades. Why It Matters By 2030, every new vehicle sold will be connected, and the advanced, tech-driven features they provide will be increasingly important to consumers. A recent Salesforce survey revealed that drivers already consider connected features to be nearly as important as a car’s brand. Connected Vehicle accelerates this evolution, enabling automakers to immediately deliver branded, customized experiences tailored to

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August 29, 2024in Salesforce Implementation Services, Salesforce Managed Services, Salesforce Manufacturing Automotive Energy
Why Choose Salesforce as Your Mortgage CRM?
22Aug

Banking Complaints to Profits

Tectonic: Elevating Complaint Management in Banking with Salesforce Customer satisfaction is key in banking, but complaints are unavoidable. Banking Complaints to Profits is not only learning from complaints but increasing revenue by them. Banking complaints also present a unique opportunity. Handled effectively, complaints can offer valuable insights that drive process improvements and ultimately strengthen customer relationships. Banking Complaints to Profits Banks need a robust, strategic complaint management system to capitalize on this opportunity. Such a system must go beyond simply documenting and resolving grievances. It must enable banks to proactively identify trends, assess root causes, and implement targeted solutions that address individual complaints and prevent future issues. Salesforce offers a comprehensive platform that can transform your complaint management process. Let’s explore how its key features align perfectly with the needs of a strategic approach. Streamlining Complaint Intake Salesforce simplifies and customizes the process of collecting customer complaints, aligning with your specific policies and regulatory needs. Its dynamic intake process ensures a smooth and compliant experience for your customers and your team. Efficient Complaint Lifecycle Management Salesforce streamlines the entire complaint management process, ensuring seamless routing to the right teams and individuals for swift resolution. Automated assignments, milestone tracking, and clear follow-up expectations (including Service Level Agreements) guarantee accountability and efficiency at every stage. Automated escalations expedite resolutions when needed, ensuring regulatory compliance and maximizing customer satisfaction. Securing Your Complaint Data Salesforce prioritizes data security with Shield and Financial Services Cloud’s Compliance Data Sharing Model to ensure the confidentiality of sensitive complaint information through robust access controls and permissions. This guarantees that only authorized personnel can view and interact with sensitive data, maintaining the highest levels of privacy and compliance. Centralizing and Unifying Your Data Beyond security, Salesforce eliminates information silos by centralizing complaint data from across your organization. This creates a single source of truth, providing a comprehensive and unified view of customer feedback. This holistic perspective enables deeper analysis, informed decision-making, and a more proactive and practical approach to complaint management. Harnessing Complaint Data for Continuous Improvement Financial Services Cloud’s Case Management and Data Processing Engines can give you a complete view of customer complaints and their lifecycle. By harnessing this case data within CRM Analytics, you can enhance the customer 360, proactively monitor trends, prioritize areas for improvement, and enhance the customer experience while effectively mitigating risk. The Future of Complaint Management: Salesforce as a Strategic Advantage In an increasingly competitive and regulated landscape, banks must be equipped to address customer complaints efficiently and leverage them for continuous improvement. By combining Salesforce’s power with a strategic, customer-centric approach, banks can turn complaints into a catalyst for growth, ensuring a more resilient and customer-focused future. At Tectonic, we’ve watched firsthand how a well-designed complaint management system can transform customer interactions from points of friction into opportunities for improvement. Our experience in the financial services sector has taught us that technology is only part of the equation. A comprehensive approach, encompassing data-driven insights, staff training, and ongoing process optimization, is essential for maximizing the benefits of any system. Chat with our financial services experts to learn how Salesforce can transform your complaint management process to deliver exceptional service and strengthen trusted customer relationships. 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

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August 22, 2024in Salesforce Financial Cloud, Salesforce Financial Services Solutions, Salesforce Optimization
Unified Omnichannel Retail Platform
08Aug

Unified Omnichannel Retail Platform

Salesforce has signed a definitive agreement to acquire PredictSpring, a leading unified omnichannel retail platform in the retail POS market. This acquisition aims to enhance Salesforce’s Customer 360 capabilities by integrating PredictSpring’s technology into physical retail environments. Jeff Amann, EVP of Salesforce Industries, emphasized the potential synergies: “Consumers demand a retail experience that seamlessly blends physical and digital shopping. The combined talent, resources, and innovation of Salesforce and PredictSpring will empower brands and retailers to drive frictionless and personalized engagement across all touchpoints.” PredictSpring’s modern POS software offers a fast checkout service centered around customer experience. It advocates for intelligent and user-friendly technology to revolutionize in-store operational efficiency. On its website, PredictSpring details how its unified retail platform enables consistent shopping experiences by incorporating features such as diverse payment options, inventory access, customer data management, and personalized recommendations. This alignment supports Salesforce’s 360-degree customer view, multi-tender payment management, and streamlined customer experiences. PredictSpring also provides Cloud POS solutions, enabling mobile transactions within stores, and includes features like Store Operations, Clienteling, Endless Aisle, and Store Fulfilment to enhance worker efficiency and shopper experience. Its Content Management System (CMS) allows retailers to create customizable experiences matching company branding, promotions, and loyalty programs. Already a Salesforce partner, PredictSpring has integrated Commerce Cloud and Service Cloud. Its customers include Movado, LoveSac, Steve Madden, Suitsupply, Bouclair, and Deceim. Nitin Mangtani, Founder & CEO of PredictSpring, expressed enthusiasm for the partnership: “We are excited about the future of PredictSpring and what this means for the retail industry at large. We’re energized by the opportunity to make an even greater impact on the future of shopping as part of Salesforce.” Why PredictSpring mPOS? Retailers have become acutely aware of the detrimental impact that outdated legacy point of sale systems are having on their brand’s reputation and overall customer satisfaction. The consequence is evident in prolonged queues and an unsatisfactory shopping experience. However, the remedy to this challenge presents itself in the form of a modern solution: the mobile point of sale (mPOS). Forward-looking brands are embracing the concept of prioritizing mobile-first POS systems as the natural progression, and the integration process is surprisingly straightforward – a seamless extension to existing point of sale infrastructure. Facilitate cash payments with a mobile point of sale, streamlining the payment experience. With the Modern POS, store devices are wirelessly connected to a cash drawer so payment can be taken from anywhere in-store, leading to a higher engagement and conversion rate with customers. According to research released by Capterra, “48% of retail workers prefer using mPOS”. PredictSpring True Omnichannel Replace the need for separate technology stacks with a completely unified retail platform. PredictSpring ensures in-store experiences benefit from the same functionality as online ones. This includes the same payment options, company-wide inventory access, customer data management and personalized product recommendations. With these capabilities, stores are empowered by a truly Modern POS that provides seamless cross-channel personalization, inventory management, order management and order fulfilment. Encompassing the power of a full Modern POS, the system offers brands 50+ 00TB modules of integrated technology, including mPOS, clienteling, order fulfilment, order management and inventory management features. The Modern POS platform provides store associates with a 360 view of customers and access to a global inventory, resulting in a fully integrated brand experience at every touchpoint. This way, when a customer visits in-store they can interact with the physical products and receive a high-touch service while also still benefiting from the same access to inventory, reviews and recommendations as an online customer. APIs and Integrations PredictSpring is built for integrations. With the REST API, developers can access and seamlessly integrate PredictSpring functionalities into existing operations as well as other third-party applications. The platform’s API layer allows data to be shared securely across channels while minimizing risk. With this added flexibility comes the ability to create individually personalized and completely seamless experiences both online and in-store. Leverage easy integrations to offer more payment options for global customer bases. PredictSpring supports integrations with third-party payment providers such as Adyen, Elavon and Stripe to simplify the collection of global payments. PredictSpring fully supports omni channel order management. Ensure orders arrive on time while incurring the lowest costs with item-level smart order routing and rules-based configurations. Leverage inventory, location and fulfilment data to ensure order routing is optimized for orders on all channels – whether in-store or eCommerce. Leverage enterprise-wide inventory data and integrate with third-party logistics platforms to maintain a full, real-time picture of inventory. As well as cycle counts and easy inventory adjustments, the platform supports integration with RFID to ensure accurate inventory data. As well as offering BOPIS and curbside pickup solutions, the PredictSpring platform natively supports find in store and ship to store capabilities to maximize fulfilment options. Pick and pack allows fulfilment from any location with orders also able to be routed from store to store. PredictSpring allows the device’s own camera to be used as a barcode scanner, with no additional hardware required, to ensure easy order tracking functions for associates. Salesforce Commerce Cloud With a secure integration with Salesforce Commerce Cloud, PredictSpring offers even more flexibility. Users can choose to utilize features as a combined offering or independently to suit requirements. With this partnership, PredictSpring customers can benefit from the deployment of key Salesforce features including, customer data insights, order management, cart synchronization, product information management and more. AI-Based Voice Assistant Natural Language Based Voice Assistant for Modern POS Retail in the digital era is a story of constantly rising customer expectations. These days, customers demand seamless omnichannel experiences, so they can shop whenever and wherever they want. They expect personalized in-person shopping experiences, instant gratification, and fast, reliable delivery options. The only way to continue to meet these expectations at scale without breaking the bank is to harness the capabilities of AI—which is where the PredictSpring Modern POS comes in. As Modern POS systems have evolved into a complete operating system for stores with functionality ranging from checkout, returns, store fulfillment, clienteling,

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August 8, 2024in Salesforce Commerce Cloud
Salesforce to Acquire PredictSpring
01Aug

Salesforce to Acquire PredictSpring

Salesforce to Acquire PredictSpring, Enhancing Customer 360 Capabilities in Retail Salesforce has announced a definitive agreement to acquire cloud-based point-of-sale (PoS) software vendor PredictSpring, aiming to bolster its Customer 360 capabilities and strengthen its foothold in the retail industry. PredictSpring, headquartered in California, provides PoS systems that enable store associates to engage with shoppers and complete transactions from anywhere in the store using mobile devices. The software also supports store operations, including fulfillment, client profile management, and online ordering for items not immediately available. “The combined talent, resources, and innovation of Salesforce and PredictSpring will empower brands and retailers to drive frictionless and personalized engagement across all touchpoints,” said Jeff Amann, executive vice president of Salesforce Industries. PredictSpring, already a Salesforce ecosystem partner integrated with Commerce Cloud and Service Cloud, has been collaborating with Salesforce since 2019 when new tools were added to Commerce Cloud. Founded in 2013 by Nitin Mangtani, a former product manager at Google, PredictSpring has received investments from Salesforce Ventures, Felicis Ventures, Novel TMT Ventures, and Beanstalk Ventures. The company raised $16 million in a Series B funding round and $11.4 million in a Series A round. While Salesforce did not disclose the transaction value, it will retain the entire PredictSpring team, consisting of approximately 31 employees. The acquisition is expected to close in the third quarter of Salesforce’s fiscal year 2025, which runs from February to January. Earlier this year, Salesforce attempted to acquire enterprise data management software provider Informatica, but the talks fell through. Notable past acquisitions by Salesforce include Slack, MuleSoft, Tableau, and Troops.ai. 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

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August 1, 2024in Mulesoft
360 SMS Salesforce Chatbot
30Jul

360 SMS Salesforce Chatbot

360 SMS Salesforce Chatbot vs. Traditional Customer Support: An Analysis In the evolving tech space of customer service, businesses continue to seek ways to enhance customer satisfaction while optimizing costs. One notable resource in recent years is the increasing reliance on chatbots, with the 360 SMS chatbot emerging as a powerful SMS tool for efficient customer support. But how does it measure up against traditional customer support methods? This comparative analysis explores the effectiveness and efficiency of the 360 SMS SFDC Chatbot in contrast to conventional approaches. Understanding Traditional Customer Support Traditional customer support involves human interaction where agents handle inquiries via phone calls, emails, or in-person interactions. These methods are valued for their personalized service and ability to handle complex queries effectively. However, they come with some challenges: Introducing the 360 SMS SFDC Chatbot The 360 SMS SFDC chatbot automates business conversations independently within Salesforce environments without extensive coding. This no-code solution integrates seamlessly with Salesforce, accessing customer data to provide personalized interactions and streamline customer support processes. Key Advantages of the 360 SMS Salesforce Chatbot: Traditional Customer Support: 360 SMS SFDC Chatbot: Traditional Customer Support: 360 SMS Chatbot: Traditional Customer Support: 360 SMS Salesforce Chatbot: Traditional Customer Support: 360 SMS Salesforce Chatbot: Traditional Customer Support: 360 SMS Salesforce Chatbot: Traditional Customer Support: 360 SMS Salesforce Chatbot: Traditional Customer Support: 360 SMS Salesforce Chatbot: While traditional customer support offers personalized service and handles complex queries effectively, the 360 SMS SFDC chatbot provides 24/7 availability, scalability, and cost-effectiveness. By combining both approaches, businesses can enhance customer experiences, optimize operational costs, and meet evolving market demands effectively. Embracing innovative solutions like the 360 SMS Salesforce chatbot is crucial for staying competitive, meeting customer expectations, and transforming organizational efficiency in today’s dynamic business environment. 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

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July 30, 2024in Salesforce
Salesforce Data Cloud Pioneer
25Jul

Salesforce Data Cloud Pioneer

While many organizations are still building their data platforms, Salesforce Data Cloud Pioneer has made a significant leap forward. By seamlessly incorporating metadata integration, Salesforce has transformed the modern data stack into a comprehensive application platform known as the Einstein 1 Platform. Led by Muralidhar Krishnaprasad, executive vice president of engineering at Salesforce, the Einstein 1 Platform is built on the company’s metadata framework. This platform harmonizes metadata and integrates it with AI and automation, marking a new era of data utilization. The Einstein 1 Platform: Innovations and Capabilities Salesforce’s goal with the Einstein 1 Platform is to empower all business users—salespeople, service engineers, marketers, and analysts—to access, use, and act on all their data, regardless of its location, according to Krishnaprasad. The open, extensible platform not only unlocks trapped data but also equips organizations with generative AI functionality, enabling personalized experiences for employees and customers. “Analytics is very important to know how your business is doing, but you also want to make sure all that data and insights are actionable,” Krishnaprasad said. “Our goal is to blend AI, automation, and analytics together, with the metadata layer being the secret sauce.” Salesforce Data Cloud Pioneer In a conversation with George Gilbert, senior analyst at theCUBE Research, Krishnaprasad discussed the platform’s metadata integration, open-API technology, and key features. They explored how its extensibility and interoperability enhance usability across various data formats and sources. Metadata Integration: Accommodating Any IT Environment The Einstein 1 Platform is built on Trino, the federated open-source query engine, and Spark for data processing. It offers a rich set of connectors and an open, extensible environment, enabling organizations to share data between warehouses, lake houses, and other systems. “We use a hyper-engine for sub-second response times in Tableau and other data explorations,” Krishnaprasad explained. “This in-memory overlap engine ensures efficient data processing.” The platform supports various machine learning options and allows users to integrate their own large language models. Whether using Salesforce Einstein, Databricks, Vertex, SageMaker, or other solutions, users can operate without copying data. The platform includes three levels of extensibility, enabling organizations to standardize and extend their customer journey models. Users can start with basic reference models, customize them, and then generate insights, including AI-driven insights. Finally, they can introduce their own functions or triggers to act on these insights. The platform continuously performs unification, allowing users to create different unified graphs based on their needs. “We’re a multimodal system, considering your entire customer journey,” Krishnaprasad said. “We provide flexibility at all levels of the stack to create the right experience for your business.” The Triad of AI, Automation, and Analytics The platform’s foundation ingests, harmonizes, and unifies data, resulting in a standardized metadata model that offers a 360-degree view of customer interactions. This approach unlocks siloed data, much of which is in unstructured forms like conversations, documents, emails, audio, and video. “What we’ve done with this customer 360-degree model is to use unified data to generate insights and make these accessible across application surfaces, enabling reactions to these insights,” Krishnaprasad said. “This unlocks a comprehensive customer journey.” For instance, when a customer views an ad and visits the website, salespeople know what they’re interested in, service personnel understand their concerns, and analysts have the information needed for business insights. These capabilities enhance customer engagement. “Couple this with generative AI, and we enable a lot of self-service,” Krishnaprasad added. “We aim to provide accurate answers, elevating data to create a unified model and powering a unified experience across the entire customer journey.” 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

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July 25, 2024in Einstein 1 Platform, Generative AI, Salesforce Data Cloud, Salesforce Einstein
What is Salesforce Health Cloud
11Jul

Explore Salesforce Health Cloud

Empower Your Healthcare Team with Salesforce Health Cloud Equip your healthcare team with comprehensive 360-degree views that help connect and engage every patient, member, employee, and partner. Explore Salesforce Health Cloud Explore Health Cloud Understanding the capabilities of this platform is the first step to transforming your organization’s patient management. Let’s explore what Health Cloud offers to various types of healthcare organizations. Introducing Salesforce Health Cloud: A CRM Solution for Patient Management Over 600 companies, including industry leaders like Lilly, Pacific Clinics, United Healthcare, Progyny, Stanley Healthcare, and Humana, trust Salesforce Health Cloud for their patient management needs. As the healthcare industry rapidly evolves, effective patient information management is essential. This insight looks into Salesforce Health Cloud’s capabilities, features, integration options, and benefits, including its security architecture. What is Health Cloud? Salesforce Health Cloud is a cloud-based technology designed specifically for the healthcare industry. It centralizes patient information, giving healthcare professionals a complete view of patient records, enabling more effective treatments and better patient care. Key Capabilities of Salesforce Health Cloud Salesforce Health Cloud is a robust platform offering key capabilities such as: Salesforce in the Healthcare Industry Salesforce is increasingly popular among healthcare organizations for several reasons: Salesforce Health Platform Features Salesforce Health Cloud offers three main sets of features: Salesforce Health Cloud Architecture The architecture of Salesforce Health Cloud includes: Salesforce Health Cloud Security Salesforce Health Cloud is designed to securely manage healthcare data, featuring: Revolutionizing Healthcare Delivery with Salesforce Health Cloud Salesforce Health Cloud is designed for healthcare organizations to automate processes and provide personalized patient care. Since its launch in 2016, Health Cloud has evolved to address the complexities of the healthcare industry, including the introduction of Customer 360 for Health, an AI-driven healthcare solution. Why Choose Salesforce Health Cloud? Salesforce Health Cloud connects healthcare teams to ensure that patients receive the right care, supported by multi-layered security to protect sensitive patient data. It integrates clinical and non-clinical patient data, streamlining workflows and enhancing patient satisfaction. Top Features of Salesforce Health Cloud Key features include Patient 360, Care Plans, Care Coordination, Health Timeline, and Einstein Analytics for Healthcare, among others. Salesforce has also introduced AI-powered innovations under the Patient 360 for Health initiative, enhancing patient care and operational efficiency. Integration with MuleSoft Salesforce Health Cloud’s integration with MuleSoft allows organizations to connect with existing healthcare systems, ensuring accurate and up-to-date patient information, unlocking the full potential of their data, and improving decision-making. Conclusion Salesforce Health Cloud is more than just a platform—it’s a comprehensive solution for managing doctor-patient interactions, recordkeeping, and delivering personalized care. By leveraging Health Cloud, healthcare organizations can transform patient experiences, streamline processes, and ensure data security and compliance, positioning themselves for a brighter future in healthcare. 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

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July 11, 2024in Mulesoft, Salesforce Health Cloud, Salesforce Marketing Cloud, Salesforce Shield
Breaking Down Data Silos with Zero Copy Data Federation
27Jun

Breaking Down Data Silos with Zero Copy Data Federation

Siloed data slows communication, delays data-driven insights, and creates extra work. Learn ways for Breaking Down Data Silos with Zero Copy Data Federation. Overview In today’s data-driven business world, organizations amass vast amounts of data across various touchpoints, centralizing it in data warehouses or lakes to derive business insights. While this data is primarily used for analytics and machine learning, it remains largely inaccessible to business users in Sales, Service, and Marketing, hindering their ability to make data-driven decisions. To address this challenge, Salesforce and Amazon have collaborated to create Zero Copy Data Federation between Salesforce Data Cloud and Amazon Redshift. This integration empowers businesses by providing seamless access to Redshift data within Salesforce Data Cloud, enhancing data integration, and enabling real-time insights without the need for data replication. Benefits of Zero Copy Data Federation This new solution allows businesses to: Salesforce Data Cloud Salesforce Data Cloud unifies all company data into the Einstein 1 Platform, offering a comprehensive 360-degree view of the customer. It integrates diverse datasets such as telemetry data and web engagement data, creating a holistic customer profile that is easy to access and understand. This unified view enables Sales, Service, and Marketing teams to build personalized customer experiences, drive data-driven actions, and leverage trusted AI across all Salesforce apps. Amazon Redshift Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service designed for efficient data analysis using existing business intelligence tools. It offers superior price-performance compared to traditional data warehousing solutions and supports datasets ranging from a few hundred gigabytes to petabytes. Redshift’s AI-powered massively parallel processing (MPP) architecture facilitates quick, cost-effective business decision-making. Zero Copy Data Federation Zero Copy Data Federation, a feature of Salesforce Data Cloud, enables secure, real-time access to Redshift data without copying it. This capability maintains data in its original location, eliminating replication overhead and ensuring current information access, thus enhancing data integration while preserving data integrity and efficiency. Data federated from Amazon Redshift is represented as a native data cloud object, powering various Data Cloud features, including marketing segmentation, activations, and process automation. This allows businesses to enrich unified customer profiles in Salesforce Data Cloud with transactional data from Redshift, gaining insights, harnessing predictive and generative AI, and delivering highly personalized experiences. Setting Up Zero Copy Data Federation To configure Zero Copy Data Federation in Salesforce Data Cloud: Use Cases Zero Copy Data Federation enables various use cases: Conclusion Zero Copy Data Federation between Salesforce Data Cloud and Amazon Redshift empowers businesses to dismantle data silos, enhance customer experiences, and drive operational efficiencies. By enabling real-time access to Redshift data within Salesforce Data Cloud, organizations can make informed decisions, personalize customer interactions, and optimize resources across various functions. This integration sets a new benchmark for data-driven business success in the digital age. Check out the Salesforce Zero Copy Data Federation announcement for more details. 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

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June 27, 2024in Einstein 1 Platform, Generative AI, Salesforce Data Cloud
Salesforce Summer 24 Industries Release
18Jun

Salesforce Summer 24 Industries Release

Industries Salesforce Summer 24 Industries Release Industries solutions shape Salesforce to the needs of your business, reducing the need for you to customize things yourself. Consumer Goods Cloud streamlines delivery and distribution processes with Direct Store Delivery and Van Sales. Optimize service operations in the field with Field Service for Industries. Health Cloud integrates with Milliman Care Guidelines (MCG) to bring industry-standard assessments to Integrated Care Management. Loyalty Management gives marketing managers greater flexibility with Global Promotions Management. Manufacturing Cloud helps manufacturers streamline the process of recovering costs on defective parts from suppliers with Warranty Supplier Recovery. Salesforce for Education helps students plan their degrees better with Intelligent Degree Planning. We also have plenty of changes for Automotive Cloud, Salesforce for Nonprofits, Public Sector Solutions, Industries common features, and much more. Salesforce Summer 24 Industries Release 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

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June 18, 2024in Public Sector Solutions, Salesforce, Salesforce for Nonprofits
Data Cloud Vector Database and Hyperforce
07Jun

Data Cloud Vector Database and Hyperforce

Salesforce World Tour Highlights: Data Cloud Vector Database and Hyperforce At the Salesforce World Tour on June 6, 2024, at the Excel Centre in east London, the focus was on advancements in the Data Cloud and Slack platforms. The event, sponsored by AWS, Cognizant, Deloitte, and PWC, showcased significant innovations, particularly for GenAI enthusiasts. Data Cloud Vector Database and Hyperforce. Vector Database in Data Cloud A key highlight was the announcement of the general availability of a Vector Database capability within the Data Cloud, integrated into the Einstein 1 Platform. This capability enhances Salesforce’s CRM platform, Customer 360, by combining structured and unstructured data about end-users. The Vector Database collects, ingests, and unifies data, allowing enterprises to deploy GenAI across all applications without needing to fine-tune an off-the-shelf large language model (LLM). Addressing Data Fragmentation Salesforce reports that approximately 80% of customer data is dispersed across various corporate departments in an unstructured format, trapped in PDFs, emails, chat conversations, and transcripts. The Vector Database unifies this fragmented data, creating a comprehensive profile of the customer journey. This unified approach not only improves customer engagement but also enhances organizational agility. By consolidating data from all corporate silos, companies can quickly and efficiently address issues such as product recalls and returns. Hyperforce: Enhancing Data Residency and Compliance During the keynote, Salesforce emphasized the importance of personalization in customer engagement and the benefits of deploying GenAI in customer-facing sectors. The event highlighted the need to overcome the fear and mistrust of GenAI and showcased how enterprises can enhance employee productivity through upskilling in GenAI technologies. One notable announcement was the general availability of Hyperforce, a solution designed to address data residency issues by integrating all Salesforce applications under the same compliance, security, privacy, and scalability standards. Built for the public cloud and composed of code rather than hardware, Hyperforce ensures safe delivery of applications worldwide, offering a common layer for deploying all application stacks and handling data compliance in a fragmented technology landscape. Salesforce AI Center The Salesforce AI Center was also introduced at the event. The first of its kind, located in the Blue Fin Building near Blackfriars, London, this center will support AI experts, Salesforce partners, and customers, facilitating training and upskilling programs. Set to open on June 18, 2024, the center aims to upskill 100,000 developers worldwide and is part of Salesforce’s $4 billion investment in the UK and Ireland. Industry Reactions and Future Prospects GlobalData senior analyst Beatriz Valle commented on Salesforce’s continued integration of GenAI across its portfolio, including platforms like Tableau, Einstein for analytics, and Slack for collaboration. According to Salesforce, the Data Cloud tool leverages all metadata in the Einstein 1 Platform, connecting unstructured and structured data, reducing the need for fine-tuning LLMs, and enhancing the accuracy of results delivered by Einstein Copilot, Salesforce’s conversational AI assistant. Vector databases, while not new, have gained prominence due to the GenAI revolution. They power the retrieval-augmented generation (RAG) technique, linking proprietary data with large language models like OpenAI’s GPT-4, enabling enterprises to generate more accurate results. Competitors such as Oracle, Amazon, Microsoft, and Google also offer vector databases, but Salesforce’s early investments in GenAI are proving fruitful with the launch of the Data Cloud Vector Database. Data Cloud Vector Database and Hyperforce Salesforce’s AI-powered integration solutions, highlighted during the World Tour, underscore the company’s commitment to advancing digital transformation. By leveraging GenAI and innovative tools like the Vector Database and Hyperforce, Salesforce is enabling enterprises to overcome the challenges of data fragmentation and compliance, paving the way for a more agile and competitive digital future. 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

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June 7, 2024in Einstein 1 Platform, Hyperforce, Salesforce, Salesforce Data Cloud

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