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Data Cloud - Facts and Fiction

Data Cloud – Facts and Fiction

Salesforce Data Cloud: Debunking Myths and Unveiling Facts If you’ve been active on LinkedIn, attending recent Salesforce events, or even watching a myriad of sporting events, you’ve likely noticed that Salesforce has evolved beyond just CRM. It’s now CRM + DATA + AI. Although Salesforce has always incorporated these elements, with Einstein AI and data being integral to CRM, the latest innovation lies in the Data Cloud. Data Cloud – Facts and Fiction Data Cloud, formerly known as Salesforce Genie, represents Salesforce’s latest evolution, focusing on enabling organizations to scale and grow in an era where data is the new currency. It is the fastest-growing product in Salesforce’s history, pushing new boundaries of innovation by providing better access to data and actionable insights. As Data Cloud rapidly develops, potential clients often have questions about its function and how it can address their challenges. Here are some common myths about Data Cloud and the facts that debunk them. Myth: Data Cloud Requires MuleSoft Fact: While MuleSoft Anypoint Platform can accelerate connecting commonly used data sources, it is not required for Data Cloud. Data Cloud can ingest data from multiple systems and platforms using several out-of-the-box (OOTB) connectors, including SFTPs, Snowflake, AWS, and more. Salesforce designs its solutions to work seamlessly together, but Data Cloud also offers connector options for non-Salesforce products, ensuring flexibility and integration capabilities beyond the Salesforce ecosystem. Myth: Data Cloud Will De-Duplicate Your Data Fact: Harmonizing data in Data Cloud means standardizing your data model rather than de-duplicating it. Data Cloud maps fields to a common data model and performs “Identity Resolution,” using rules to match individuals based on attributes like email, address, device ID, or phone number. This process creates a Unified Individual ID without automatically de-duplicating Salesforce records. Salesforce intentionally does not function as a Master Data Management (MDM) system. Myth: Data Cloud Will Create a Golden Record Fact: Data Cloud does not create a single, updated record synchronized across all systems (a “golden record”). Instead, it retains original source information, identifies matches across systems, and uses this data to facilitate engagements, known as the Data Cloud Key Ring. For instance, it can recognize an individual across different systems and provide personalized experiences without overwriting original data. Myth: You Can’t Ingest Custom Objects from Salesforce Fact: During the data ingestion process, you can select which objects to ingest from your Salesforce CRM Org, including custom objects. The system identifies the API names of the objects and fields from the data source. Ensuring the Data Cloud integration user has access to the necessary information (similar to assigning Permission Sets) allows you to ingest and map custom objects accordingly. Myth: Data Cloud Requires a Data Scientist and Takes a Long Time to Implement Fact: While implementing Data Cloud involves ingesting, mapping data, running identity resolution, and generating insights, it does not necessarily require a data scientist. Skilled Salesforce Admins can often manage data integration from third-party applications. Effective Data Cloud implementation requires thorough planning and preparation, akin to prepping a room before painting. Identifying use cases and understanding data sources in advance can streamline the implementation process. Myth: Data Cloud is Expensive Fact: Data Cloud operates on a consumption-based pricing model. Engaging in strategic conversations with Salesforce Account Executives can help understand the financial implications. Emphasizing the value of a comprehensive data strategy and considering the five V’s of Big Data—Volume, Variety, Veracity, Value, and Velocity—ensures that your data supports meaningful business outcomes and KPIs. In Summary Salesforce Data Cloud represents a significant evolution in managing and leveraging data within your organization. It helps break down data silos, providing actionable insights to drive organizational goals. Despite initial misconceptions, implementing Data Cloud does not require extensive coding skills or a data scientist. Instead, thorough planning and preparation can streamline the process and maximize efficiency. Understanding the value of a comprehensive data strategy is crucial, as data becomes the new currency. Addressing the five V’s of Big Data ensures that your data supports meaningful business outcomes and KPIs. At Tectonic, our team of certified professionals is ready to assist you on this journey. We offer a Salesforce Implementation Solution package to help you get hands-on with the tool and explore its capabilities. Whether you need help understanding your data sources or defining use cases, our data practice can provide the expertise you need. Talk to Tectonic about Data Cloud and discover how our tailored solutions can help you harness the full potential of your data. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Summer 24 Release Updates

Summer 24 Release Updates

Salesforce’s Summer 24 release updates are designed to help teams work more efficiently with innovations in data, AI, CRM, and trust. These updates aim to save businesses time and enhance the end-user experience with improved search results, personalized experiences, and more. Highlights of Salesforce’s Summer 2024 Updates Activate and Publish a Store Without a Custom Domain Previously, B2B Commerce Lightning Web Runtime (LWR) required purchasing and configuring a custom CDN domain to log in to the storefront, even for demo purposes. Now, users can activate and view the storefront before setting up a custom domain, saving both time and costs. The custom domain and CDN can be configured when ready to go live. Include Attachments When Importing Products Adding attachments to products during import was a manual and time-consuming process. Now, users can include document URLs in the CSV file during product data import, consolidating vital product information and reducing the potential for human error. Implement Einstein Semantic Search Highlighted again from the Spring 2024 release, Einstein Semantic Search is crucial for commerce. It improves search relevance, reduces bounce rates, and increases conversion rates by recognizing synonyms, alternate spellings, abbreviations, typos, and more. Integrate Data Cloud with Enhanced LWR Sites In the context of walled gardens and cookie deprecation, using owned data is critical for future readiness and better customer experiences. Integrating Data Cloud with enhanced LWR sites allows for the collection of user data, such as profile information and site engagement. This data builds user profiles, creates analytics, suggests personalized recommendations, and enhances site personalization. See a Summary of a User’s Permissions and Access Previously, viewing a user’s permissions required multiple clicks and accessing various locations. The new User Access Summary feature displays all permissions directly on the user‘s detail page, streamlining the troubleshooting and access management process. These enhancements in Salesforce’s Summer 2024 release are aimed at improving efficiency, personalization, and user experience, helping businesses to operate smarter and more effectively. Summer 24 Release Updates summarized for you. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Breaking Down Data Silos with Zero Copy Data Federation

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 Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Data Cloud Features and Connectors

Data Cloud Features and Connectors

Leveraging New Features and Connectors in Salesforce’s Data Cloud Salesforce’s Data Cloud is rapidly evolving with continuous updates and new functionalities, including AI advancements. Keeping pace with these changes can be challenging. This insight explores the latest features and how to effectively utilize them to enhance your Salesforce environment. Data Cloud Features and Connectors. Are CDP and data Cloud the same? Data Cloud is more than just your traditional CDP. It’s the only data platform native to the world’s #1 AI CRM. This means that marketers can quickly access and easily action on unified data – from across the entire business – to drive growth and increase customer lifetime value. Introducing the Feature Manager The Winter ‘24 update introduced the Feature Manager, a powerful tool that simplifies managing Data Cloud’s features. It allows you to easily enable, disable, and monitor AI and beta features within the platform. Where to Find It You can find the Feature Manager in the navigation pane under the Features section, providing a centralized and intuitive way to manage your Data Cloud capabilities. Enable Data Cloud Features Using the Feature Manager, you can enable Data Cloud features. This screen is visible only when there are one or more features to enable or disable. Advantages of Enabling Beta Features One standout capability of the Feature Manager is its support for enabling beta versions of connectors and AI features. Here’s why you should consider using beta features: Early Access to Innovations Beta features give you early access to the latest tools, allowing you to experiment with new functionalities before their official release. This can provide a competitive edge and enhance your Salesforce environment. Feedback and Influence Using beta features allows you to provide valuable feedback to Salesforce, helping shape the final versions of these tools. This feedback loop ensures that the features are refined to meet user needs. How to Enable Beta Features Enable and Disable Data Cloud AI and Beta Features with Feature Manager Easily enable, disable, and monitor Data Cloud AI and beta features using the new Feature Manager, found in the navigation pane under Features. Where: This change applies to Data Cloud in Developer, Enterprise, Performance, and Unlimited editions. Steps to Enable Beta Features: Real-World Example: Adobe Marketo Connector A prime example of a beta feature available in the Winter ’24 release is the Adobe Marketo connector. This connector is currently in beta, allowing users to enable and test it through the Feature Manager. Steps to Enable the Adobe Marketo Connector By enabling and testing this connector, you can explore its functionalities and see how it integrates with your existing Salesforce setup. Staying Updated with Salesforce Data Cloud Keeping up with the latest features in Salesforce Data Cloud doesn’t have to be overwhelming. With tools like the Feature Manager, you can easily manage, enable, and experiment with new features and connectors, including those currently in beta. This not only keeps you at the forefront of innovation but also allows you to directly influence the development of these tools. Dive in, utilize the new capabilities, and make the most of what Salesforce Data Cloud has to offer. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Changes in Advertising Changing CRMs

Changes in Advertising Changing CRMs

Oracle announced last week that it is exiting the advertising business and will sunset its adtech by September 30. While the announcement is not surprising given the massive layoffs in 2022 affecting Oracle Advertising teams, the rapidity of Oracle Advertising’s decline is a clear indicator of how swiftly the digital advertising landscape can evolve. This move is likely just the first of many significant Changes in Advertising Changing CRMs. What happened? Oracle Advertising faced challenges beginning in 2018 and never managed to recover. Several forces related to data deprecation adversely impacted the business: Changes in Advertising Changing CRMs Retooling its acquisitions to function in a consent-driven and regulated environment would have required significant investment from Oracle. Given its track record with privacy law compliance, this would have been a daunting task, necessitating both rapid innovation and market trust in its solutions. What does this mean for the advertising ecosystem? Oracle’s exit from adtech marks a significant shift in the advertising ecosystem. The sharp decline in advertising revenue from $2 billion in 2022 to $300 million in 2024 suggests a major miscalculation by Oracle. Without demand- or supply-side platforms (unlike Google, Microsoft, and Amazon) and lacking a large audience base (unlike Meta, Disney, and Netflix), Oracle’s benefits as an adtech partner or acquirer were unclear. The key question now is whether Oracle’s intellectual property will find new ownership and continue in some form. What does this mean for the marketing ecosystem? The broader marketing ecosystem is likely to see more shifts as major players adapt to the new landscape. Leading martech vendors like Adobe and Salesforce have already transitioned from DMPs to CDPs. Adobe Real-Time CDP and Salesforce Data Cloud for Marketing are gaining market share, while Oracle has struggled in the B2C martech space. Oracle’s decision to cut investments in martech and adtech has significantly impaired its B2C market efforts, with products like Responsys failing to gain the traction that Eloqua has in the B2B space. Oracle also announced it will sunset related B2C marketing products like Oracle Maxymiser in the coming months. These changes are just the beginning of a broader transformation in digital advertising, driven by evolving privacy standards, consumer expectations, and technological advancements. This marks the dawn of a new era in which agility and compliance will be key to success in the digital advertising and marketing landscapes. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Salesforce Focuses on Data Cloud

Salesforce Focuses on Data Cloud

Salesforce’s Focus on Data Cloud Amid Challenging Macro Environment Salesforce is concentrating on its Data Cloud solutions while navigating a challenging macroeconomic landscape after reporting a weaker-than-expected first quarter. Salesforce Focuses on Data Cloud In a recent note, Baird analysts Rob Oliver and Patrick Schulz highlighted Salesforce’s emphasis on its Data Cloud solution: “Salesforce is keenly focused on its Data Cloud solution. The company has cited strength, but overall checks have been mixed. While not material from a revenue perspective, we believe this will remain a top focus area.” Baird’s insights followed a dinner meeting with Salesforce’s investor relations team, where much of the discussion centered on the macroeconomic challenges affecting the company. Salesforce shares fell sharply late last month after the enterprise software giant reported fiscal first-quarter results and guidance that missed estimates. Although the stock has partially recovered, it was down about 2% during late market trading on Wednesday and was removed from BofA’s U.S. 1 List the same day. Salesforce Focuses on Data Cloud Despite the revenue miss in the first quarter of fiscal year 2025, Salesforce reiterated its full-year guidance, citing confidence driven by several tailwinds, including Data Cloud, pricing/packaging, MuleSoft, regional strengths, and industry-specific offerings. These factors are helping to offset ongoing macroeconomic pressures, according to Oliver and Schulz. “Salesforce has not been alone in calling out a more challenging macro environment,” the analysts noted, referencing similar trends cited by companies like Couchbase (BASE), MongoDB (MDB), and Workday (WDAY). “We believe the company will need to report a solid quarter before investor confidence builds.” Baird maintains its Outperform rating on Salesforce with a price target of $295. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Life Sciences Cloud Organizing Clinical Trials and Outreach

Life Sciences Cloud Organizing Clinical Trials and Outreach

Salesforce CRM announced today its expansion into the life sciences sector with the launch of a new cloud platform designed to enhance engagement between medical technology providers, pharmaceutical companies, patients, and healthcare professionals. The Salesforce Life Sciences Cloud platform, now available, integrates advanced artificial intelligence capabilities from the Einstein 1 Platform. These AI capabilities aim to streamline clinical operations and processes by harnessing insights from all aspects of organizational data. Life Sciences Cloud Organizing Clinical Trials and Outreach. One of the primary benefits of the Life Sciences Cloud platform is its ability to optimize clinical trials, particularly in streamlining the recruitment and enrollment of participants. By leveraging AI, the platform can identify and match qualified candidates for clinical trials based on specific prescreening and eligibility criteria, significantly reducing the time traditionally spent on these processes. The platform facilitates the creation of personalized online portals for each clinical trial, making it easier for eligible patients to discover and enroll in trials relevant to them. It also simplifies the enrollment process through customizable e-consent forms. Using Einstein Copilot, an AI assistant, organizations can automate the identification of potential trial participants based on criteria such as proximity to trial sites, drawing data from sources like spreadsheets and electronic health records. This capability enhances efficiency by proactively reaching out to suitable candidates. Life Sciences Cloud Organizing Clinical Trials and Outreach Salesforce emphasizes the platform’s potential to alleviate common challenges in clinical trials, where recruitment delays and participant retention issues often hinder progress. By addressing these inefficiencies, Life Sciences Cloud aims to improve the operational timelines and success rates of clinical trials. Beyond clinical trials, the platform features a pilot patient benefits verification tool that helps organizations swiftly assess pharmaceutical costs and eligibility for financial assistance. Integrated with Einstein Copilot, this tool supports bulk re-verifications, ensuring continuous access to treatments for patients requiring periodic authorizations. Additionally, the platform includes a pilot patient program outcome management module, which automates the evaluation of educational and support programs’ impact on patients. This module aids in enhancing patient engagement and adherence to treatment plans by sending automated reminders and analyzing the effectiveness of engagement strategies. Salesforce’s Life Sciences Cloud also offers robust data analytics capabilities, leveraging Salesforce Data Cloud and MuleSoft for Life Sciences to unify structured and unstructured data sources. This unified data model provides comprehensive profiles for each patient and healthcare provider, enabling personalized interactions and informed decision-making. Frank Defesche, Senior Vice President and General Manager of Life Sciences at Salesforce, highlighted the platform’s role in enabling life sciences organizations to navigate challenges such as rising drug costs and regulatory complexities. He emphasized AI’s transformative potential in optimizing operational processes and prioritizing patient-centric approaches across the industry. Overall, Salesforce’s Life Sciences Cloud represents a significant advancement in leveraging AI-driven technologies to enhance efficiency, engagement, and outcomes within the life sciences sector. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Salesforce Driving Change

Salesforce Driving Change

Sony Honda Mobility Leverages Salesforce Technology to Enhance Customer Relationships Sony Honda Mobility, a mobility tech startup, is utilizing Salesforce solutions—including Automotive Cloud, Data Cloud, Tableau, and MuleSoft—to deepen its customer relationships through enhanced data and insights. Sony Honda Mobility Inc. is a Japanese joint venture automotive company established by Sony Group Corporation and Honda Motor Company in 2022 to produce battery electric vehicles. The company will market its vehicles under the Afeela brand. Why It Matters: A significant 81% of business leaders report challenges with data fragmentation and silos. This disconnected, disjointed information often leads to immaterial and generic customer interactions, which is problematic as 80% of customers expect superior experiences given the extensive data companies collect. Key Developments: Sony Honda Mobility plans to launch its first electric vehicle in the United States in 2025, followed by Japan in 2026. To scale globally and stand out in the market, the company is empowering its service team with real-time data and insights on customer interactions with its products and services. How Is Salesforce Driving Change Data Cloud: A unified data platform that consolidates application, workflow, and data lake records, making it easier to train AI models, gain business insights, and improve customer relationships. Sony Honda Mobility is leveraging Data Cloud to integrate disparate data seamlessly across applications. MuleSoft API Integration: This integration connects data from Sony Honda Mobility’s vehicle and customer platform to Salesforce, ensuring a cohesive data flow. Automotive Cloud: Inside Automotive Cloud, Sony Honda Mobility now maintains a comprehensive profile of each customer and their vehicle, based on data from Data Cloud. This integration allows for personalized service and experiences at every touchpoint. The platform also streamlines contact center management, query handling, internal FAQ creation, web actions, and ongoing service support for incident and customer information management. Tableau: With Tableau’s visualizations of vehicle operation conditions and service usage status, Sony Honda Mobility can make quicker, more informed decisions about each customer’s needs. Customer Perspective “We aim to elevate our customer service and experiences to new heights. We are confident we can achieve this with Salesforce’s global expertise and proven track record in CRM, trusted AI, and data analytics,” said Yasuhide Mizuno, Chairman and CEO of Sony Honda Mobility. Salesforce Perspective “We are thrilled that Sony Honda Mobility has chosen the scalability, reliability, and expertise of Salesforce technology. By integrating their customer data on a single and trusted platform, we are excited to support Sony Honda Mobility as they scale excellent service to customers worldwide,” said Shinichi Koide, Chairman, President, and Chief Executive Officer of Salesforce Japan. The Result By harnessing Salesforce’s advanced technology, Sony Honda Mobility is poised to revolutionize its customer service and experience, ensuring a more connected, efficient, and personalized interaction for its customers globally. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Data Cloud Vector Database and Hyperforce

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 Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Consumer Chatbot Technology

Consumer Chatbot Technology

The Reality Behind AI Chatbots and the Path to Autonomous AI In the rush to adopt the latest Consumer Chatbot Technology, it’s easy to overlook a fundamental reality: consumer chatbot technology isn’t ready for enterprise use—and it likely never will be. The reason is simple: AI assistants are only as effective as the data that powers them. Most large language models (LLMs) are trained on data from public websites, which lack the specific business and customer data that enterprises need. This means consumer bots can’t adequately assist employees in selling products, marketing merchandise, or improving productivity, as they lack the necessary personalization and business context. To achieve the vision of AI that goes beyond simple chatbots performing basic tasks—like drafting emails, essays, blogs, or graphics—to a more advanced role where AI acts autonomously and addresses business-critical needs, a different approach is needed. This vision involves AI taking action with minimal human intervention, using digital agents to identify and respond to these needs. At Salesforce, we are pursuing a clear path to AI that not only takes action but also automates routine tasks, all while adhering to established business rules, permissions, and context. Instead of relying solely on LLMs, which primarily focus on generating human-like text, future AI assistants will depend on large action models (LAMs) that integrate decision-making and action-taking capabilities. The Journey Toward AI Autonomy Our journey towards this vision began with the Salesforce Data Cloud, a robust data engine built on the Einstein 1 Platform. This platform integrates data from across the enterprise and third-party repositories, enabling companies to activate their data, automate workflows, personalize customer interactions, and develop smarter AI solutions. Recognizing the shift from generative AI to autonomous AI, Salesforce introduced Einstein Copilot, the industry’s first conversational, enterprise-class AI assistant. Integrated across the Salesforce ecosystem, Einstein Copilot utilizes an organization’s data, whether it’s behind a firewall or in an external data lake, to act as a reasoning engine. It interprets user intents, interacts with the most suitable AI model, solves problems, generates relevant content, and provides decision-making support. Expanding the Role of AI in Business Since its launch in February 2024, Salesforce has been expanding Einstein Copilot’s library of actions to meet specific business needs in sales, service, marketing, data analysis, and industries like ecommerce, financial services, healthcare, and education. These “actions” are akin to LEGO blocks—discrete tasks that can be assembled to achieve desired project outcomes. For example, a sales representative might use Einstein Copilot to generate a personalized close plan, gain insights into why a deal may not close, or review whether pricing was discussed in a recent call. Einstein Copilot then orchestrates these tasks, provides recommendations, and compiles everything into a detailed report. The ultimate goal is for AI not only to gather and organize information but also to take proactive action. Imagine a sales representative instructing their digital agent to set up meetings with top prospects in a specific territory. The AI could not only identify suitable contacts but also suggest meeting times, plan travel schedules, draft emails, and even create talking points—all of which it could execute autonomously with the representative’s approval. Tectonic dreams of the day AI is smart enough to interpret our search engine typos and produce the results for what we were actually looking for! The Future of AI Autonomy The possibilities for semi-autonomous or fully autonomous AI are vast. As we continue to develop and refine these technologies, the potential for AI to transform business processes and decision-making becomes increasingly tangible. At Salesforce, they are committed to leading this charge, ensuring that our AI solutions not only meet but exceed the expectations of enterprises worldwide. Salesforce is in a strong position to deliver on all of them because of the volume and breadth of data housed in Data Cloud, the heavy workflow traffic in our Customer 360 CRM, and the fact we’ve delivered an enterprise-class copilot that is rapidly expanding its library of actions. It will not happen overnight. The technology needs to advance, organizations and people have to be able to trust AI and be trained to use it in the right ways, and more work will need to be done to ensure the right balance between human involvement and AI autonomy. But with our continued investment in CRM, data, and trusted AI, we will achieve that vision before too long. Salesforce is in a strong position to deliver on all of them because of the volume and breadth of data housed in Data Cloud, the heavy workflow traffic in our Customer 360 CRM, and the fact we’ve delivered an enterprise-class copilot that is rapidly expanding its library of actions. Jayesh Govindarajan, Senior Vice President, Salesforce 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 Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Einstein Personalization and Copilots

Einstein Personalization and Copilots

Salesforce launched a suite of new generative AI products at Connections in Chicago, including new Einstein Copilots for marketers and merchants, and Einstein Personalization. Einstein Personalization and Copilots To gain insights into these products and Salesforce’s evolving architecture, Bobby Jania, CMO of Marketing Cloud was interviewed. Salesforce’s Evolving Architecture Salesforce has a knack for introducing new names for its platforms and products, sometimes causing confusion about whether something is entirely new or simply rebranded. Reporters sought clarification on the Einstein 1 platform and its relationship to Salesforce Data Cloud. “Data Cloud is built on the Einstein 1 platform,” Jania explained. “Einstein 1 encompasses the entire Salesforce platform, including products like Sales Cloud and Service Cloud, continuing the original multi-tenant cloud concept.” Data Cloud, developed natively on Einstein 1, was the first product built on Hyperforce, Salesforce’s new cloud infrastructure. “From the start, Data Cloud has been able to connect to and read anything within Sales Cloud, Service Cloud, etc. Additionally, it can now handle both structured and unstructured data.” This marks significant progress from a few years ago when Salesforce’s platform comprised various acquisitions (like ExactTarget) that didn’t seamlessly integrate. Previously, data had to be moved between products, often resulting in duplicates. Now, Data Cloud serves as the central repository, with applications like Tableau, Commerce Cloud, Service Cloud, and Marketing Cloud all accessing the same operational customer profile without duplicating data. Salesforce customers can also import their own datasets into Data Cloud. “We wanted a federated data model,” Jania said. “If you’re using Snowflake, for example, we virtually sit on your data lake, providing value by forming comprehensive operational customer profiles.” Understanding Einstein Copilot “Copilot means having an assistant within the tool you’re using, contextually aware of your tasks and assisting you at every step,” Jania said. For marketers, this could start with a campaign brief created with Copilot’s help, identifying an audience, and developing content. “Einstein Studio is exciting because customers can create actions for Copilot that we hadn’t even envisioned.” Contrary to previous reports, there is only one Copilot, Einstein Copilot, with various use cases like marketing, merchants, and shoppers. “We use these names for clarity, but there’s just one Copilot. You can build your own use cases in addition to the ones we provide.” Marketers will need time to adapt to Copilot. “Adoption takes time,” Jania acknowledged. “This Connections event offers extensive hands-on training to help people use Data Cloud and these tools, beyond just demonstrations.” What’s New with Einstein Personalization Einstein Personalization is a real-time decision engine designed to choose the next best action or offer for customers. “What’s new is that it now runs natively on Data Cloud,” Jania explained. While many decision engines require a separate dataset, Einstein Personalization evaluates a customer holistically and recommends actions directly within Service Cloud, Sales Cloud, or Marketing Cloud. Ensuring Trust Connections presentations emphasized that while public LLMs like ChatGPT can be applied to customer data, none of this data is retained by the LLMs. This isn’t just a matter of agreements; it involves the Einstein Trust Layer. “All data passing through an LLM runs through our gateway. Personally identifiable information, such as credit card numbers or email addresses, is stripped out. The LLMs do not store the output; Salesforce retains it for auditing. Any output that returns through our gateway is logged, checked for toxicity, and only then is PII reinserted into the response. These measures ensure data safety beyond mere handshakes,” Jania said. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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IBM Salesforce AI Partnership

IBM Salesforce AI Partnership

IBM and Salesforce Expand Partnership to Advance Open, Trusted AI and Data Ecosystems PR Newswire-IBM Salesforce AI Partnership ARMONK, N.Y. and SAN FRANCISCO, May 21, 2024 – IBM (NYSE: IBM) and Salesforce (NYSE: CRM) today announced an expanded strategic partnership designed to bring together IBM’s watsonx AI and Data Platform with the Salesforce Einstein 1 Platform. This collaboration aims to provide greater customer choice and flexibility in AI and data deployment, empowering teams to make data-driven decisions seamlessly. Key Highlights of the Expanded Partnership: 1. Enhanced Large Language Models for Generative AI: The IBM watsonx platform and IBM Granite series models will introduce more large language models (LLMs) to support generative AI use cases across the Salesforce Einstein 1 Platform. This integration will provide pre-built actions and prompts, enhancing AI capabilities for CRM solutions. 2. Zero Copy Data Integration: IBM joins the Salesforce Zero Copy Partner Network to enable secure, zero-copy data integration between IBM watsonx and Salesforce Data Cloud. This integration offers customers a cost-effective way to connect and leverage their data without the need to move it, ensuring seamless data access and actionability. 3. Commitment to Responsible AI: Salesforce has joined the AI Alliance, reinforcing its commitment to developing open, safe, and responsible AI. This collaboration aims to foster transparency and ethics in AI development, aligning with the AI Alliance’s mission to advance beneficial AI innovation. Integration Details: Large Language Model Flexibility: Organizations can deploy generative AI for CRM use cases with LLMs tailored to their business needs. Salesforce’s “Bring Your Own Large Language Model” strategy allows customers to integrate their LLMs with the watsonx.ai platform and Salesforce Einstein 1 Studio. This will provide access to IBM’s Granite series AI models and custom LLMs built on watsonx, enhancing AI-driven customer interactions. Industry-Specific Solutions: Together with IBM Consulting, Salesforce will offer industry-specific prompt templates and copilot actions in Einstein 1 Studio, starting with public sector use cases. These templates are designed to optimize both foundation and Granite models for various industries, including automotive, energy, financial services, and public sector. Bidirectional Data Integration: By joining the Salesforce Zero Copy Partner Network, IBM enables bidirectional data integration with Salesforce Data Cloud. This integration allows customers to access IBM data via watsonx.data within Salesforce Data Cloud, maintaining data security and minimizing risks. This approach simplifies data management, maximizing technology investments and ensuring comprehensive data accessibility for analytics and AI. Industry Impact: Ritika Gunnar, General Manager of Product Management, Data and AI at IBM, emphasized the importance of choosing the right foundation models for AI strategies, stating, “IBM and Salesforce are making it easier for clients to navigate the complex generative AI landscape by helping them select the right LLM for their business needs.” Rahul Auradkar, EVP & GM of United Data Services & Einstein at Salesforce, highlighted the benefits of the partnership, saying, “With bidirectional data integration, companies can harmonize all their data faster, fueling actionable insights that empower teams to make data-driven decisions and deliver integrated experiences across all customer touchpoints.” About IBM: IBM is a global leader in hybrid cloud and AI, providing consulting expertise to clients in over 175 countries. IBM’s innovations in AI, quantum computing, and industry-specific cloud solutions support digital transformations with a commitment to trust, transparency, and inclusivity. For more information, visit www.ibm.com. About Salesforce: Salesforce is the #1 AI CRM, helping companies connect with customers through CRM + AI + Data + Trust on one unified platform, Einstein 1. For more information, visit www.salesforce.com. For additional details on IBM Granite and the partnership with Salesforce, visit IBM Granite. Statements regarding IBM’s and Salesforce’s future directions are subject to change and represent goals and objectives only. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Service Cloud Digital Engagement

Service Cloud Digital Engagement

Salesforce Enhances Service Cloud Digital Engagement for Unified Customer Interactions Salesforce has unveiled new enhancements to Service Cloud Digital Engagement, aimed at unifying unstructured conversational data from various digital channels, departments, and devices within a single platform. Built on the Einstein 1 Platform, these enhancements enable service leaders to gain a more holistic view of customers, enhancing the value delivered in every interaction. Importance of Enhancements Detailed Enhancements Service Cloud Digital Engagement is designed to deliver seamless, personalized conversational experiences across channels at scale. By connecting to Salesforce Data Cloud, which unifies structured and unstructured enterprise and customer data, companies can engage in more meaningful conversations. Key enhancements include: With Service Cloud built on the Einstein 1 Platform, companies can integrate sales, service, and marketing data into one platform, facilitating more relevant customer experiences and driving business growth. Salesforce’s Perspective Kishan Chetan, EVP & GM of Service Cloud, commented, “As customers interact with companies across more touch points and channels, they are looking for more personalization and a higher-touch experience. With Service Cloud built on the Einstein 1 Platform, companies can bring in sales, service, and marketing data on one platform to deliver more relevant customer experiences and drive business growth.” Customer Reactions Olivia Boles, Director of Operations Projects at PenFed, said, “Being able to see all the communication — chat transcripts, emails, phone calls — on the member’s profile page has totally transformed the agent and member experiences.” Availability Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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