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HCG Providing Patient-Focused Personalized Care With Salesforce
15Jun

HCG Providing Patient-Focused Personalized Care With Salesforce

HCG Delivers Personalized Patient Care with Salesforce Read more at: CXO Today HCG Providing Patient-Focused Personalized Care With Salesforce Healthcare Global Enterprises Ltd (HCG), a renowned network of 25 hospitals, is elevating patient care through Salesforce. With a 360-degree patient view, HCG connects with patients on a more personal level, delivering proactive support at every step of their journey. HCG’s commitment to value-based, precision medicine is clear, attracting over 200,000 patients annually. Unified Patient View for Personalized Care Previously, HCG faced challenges with siloed patient information and a rudimentary CRM system. “Without a single source of truth on patients, it was difficult for our medical, surgical, and support teams to collaborate,” says Vineesh Ghei, Chief Sales Officer, HCG. Today, Salesforce provides a unified patient view, capturing every case history, treatment plan, and patient preference, enabling teams to personalize patient care effectively. Enhanced Efficiency with Automation Salesforce Sales Cloud captures initial patient interactions, streamlining responses and tracking conversations. “Our response time to patient enquiries has reduced from 45 minutes to 23 minutes,” notes Ghei. Sales productivity has also improved with automated task prioritization and activity tracking. Additionally, partner management processes have been automated, enhancing engagement. Swift Service Query Resolution Patient journeys are orchestrated on Salesforce Service Cloud, integrating outpatient consultations, inpatient processes, and discharge planning. Integration with HCG’s appointment booking and cloud telephony systems ensures patient details are readily available to agents, enabling resolution of over 90% of queries in under five minutes. This comprehensive view allows service agents to provide proactive, personalized support. Contextual Communications for Long-Term Wellness Using Salesforce Marketing Cloud Engagement, HCG segments patients and delivers personalized communications relevant to their treatment stages. “Every patient’s journey is deeply personal,” says Stuti Jain, Head of Brand, Digital, and Communications, HCG. “Our communications are prioritized to add value to their journey.” HCG maintains connection with patients post-visit, supporting them through recovery. Data-Driven Decision Making By integrating data from Health Information Systems, Electronic Medical Records, and other platforms, HCG leverages operational intelligence to enhance decision-making. Insights from dashboards and reports improve patient satisfaction and care quality. Marketing Cloud Intelligence helps optimize campaigns, engagement channels, and team performance. Expanding Digital Transformation HCG plans to unlock additional Salesforce features, such as AI-driven call center operations with Einstein. Further integrations with lab and radiology systems and patient care apps will expand the Patient 360 view. “Our goal is to become an oncology knowledge company, up-to-date on treatment protocols and patient needs,” says Dey. Jain adds, “When people think of cancer care, they should think of HCG.” HCG’s integration of Salesforce is setting a new standard in personalized cancer care, ensuring patients receive the best possible support and treatment throughout their 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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June 15, 2024in Salesforce Health and Life Sciences Solutions, Salesforce Implementation Services, Salesforce Marketing Cloud, Salesforce Sales Cloud, Salesforce Service Cloud

Salesforce Marketing Cloud Gamechanger

Why Choose Salesforce Marketing Cloud for Your Business? Before diving into the features, let’s explore what makes Salesforce Marketing Cloud (SFMC) a game-changer for businesses. At its core, SFMC streamlines marketing automation, handling tasks like email outreach and audience segmentation with ease. This efficiency allows you to focus on strategy instead of repetitive tasks. As marketing shifts toward personalization, understanding your customers is more important than ever. SFMC helps businesses analyze customer behaviors, purchasing patterns, and engagement trends, making it easier to deliver highly targeted campaigns. Now, let’s dive into the top five features that set Salesforce Marketing Cloud apart. 1. Journey Builder – Create Personalized Customer Journeys Every customer follows a unique path, and Journey Builder lets you design tailored experiences across multiple channels. It helps map out customer interactions, ensuring they receive the right message at the right time. For example, if you run an e-commerce store, Journey Builder can automatically trigger: Marketing Value: ✔ Enhances personalization, leading to higher engagement.✔ Automates follow-ups so no opportunity is missed. Use Case: A customer browses sneakers on your website but doesn’t purchase. With Journey Builder, you can set up an automated sequence: 2. Email Studio – Simplify Your Email Marketing Email remains one of the most effective marketing channels. With Email Studio, you can craft high-impact email campaigns using a drag-and-drop interface—no coding required. From newsletters to transactional emails, SFMC ensures your message reaches the right audience. You can also A/B test subject lines and layouts to optimize performance. Marketing Value: ✔ Personalized emails generate 6x more transactions than generic ones.✔ Built-in analytics help refine email strategies. Use Case: Instead of blasting the same email to all customers, SFMC lets you segment audiences: This targeted approach drives better results and improves ROI. 3. Audience Studio – Harness the Power of Data Keeping track of customer data across platforms can be overwhelming. Audience Studio centralizes data from multiple sources—your website, social media, and emails—into a unified customer profile. It then segments customers based on behaviors and preferences, making it easier to deliver hyper-targeted campaigns. Marketing Value: ✔ Better audience insights lead to more effective marketing.✔ Integrates data from different platforms into one dashboard. Use Case: Launching a new product? Audience Studio – now known as Data Cloud – can identify your most interested customers based on their browsing history and past purchases. This ensures your ad spend is focused on high-intent buyers instead of a general, broad, uninterested audience. 4. Mobile Studio – Reach Customers on Their Phones With over 50% of emails opened on mobile, a strong mobile strategy is crucial. Mobile Studio enables businesses to connect with customers via SMS, push notifications, and in-app messaging. Even better, messages can be personalized based on user behavior, ensuring relevance. Marketing Value: ✔ Engage customers on their most-used device.✔ Mobile marketing sees higher open and conversion rates than email. Use Case: With most users glued to their phones, Mobile Studio ensures your brand stays top of mind. 5. Analytics Builder – Measure Your Success Running campaigns is one thing, but knowing what’s working is what truly drives growth. Analytics Builder tracks campaign performance in real time, providing insights on open rates, clicks, and conversions. Its user-friendly dashboards allow businesses to quickly identify top-performing campaigns and optimize underperforming ones. Marketing Value: ✔ Data-driven decisions outperform guesswork.✔ Helps fine-tune campaigns for maximum ROI. Use Case: If email engagement is low, Analytics Builder may reveal that your CTA is too subtle. By refining the email design, click-through rates can improve almost instantly. Unlock the Full Potential of Salesforce Marketing Cloud Salesforce Marketing Cloud offers a powerful, data-driven marketing suite that elevates customer engagement and drives conversions. It is as important in B2B marketing as it is to B2C and creates amazing customer experiences. By leveraging tools like Journey Builder, Email Studio, and Audience Studio (now known as Salesforce Data Cloud), businesses can create personalized, automated campaigns that resonate with their customers. Want to maximize engagement and ROI? Salesforce Marketing Cloud is a gamechanger. Start exploring Salesforce Marketing Cloud today—because the future of marketing is all about smarter, more connected and data-driven experiences. Content updated February 2025. 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 14, 2024in Analytics Builder, Data, Marketing Automation, Salesforce, Salesforce Marketing Cloud
Unity Catalog Open Sourced by Databricks
14Jun

Unity Catalog Open Sourced by Databricks

Databricks Announces Open Sourcing of Unity Catalog for Data and AI Governance Databricks, the Data and AI company, has announced the open-sourcing of Unity Catalog, the industry’s only unified solution for data and artificial intelligence (AI) governance across clouds, data formats, and data platforms. This initiative underscores Databricks’ commitment to open ecosystems, providing customers with the flexibility and control they need without vendor lock-in. The announcement marks a new era for open catalog standards for data and AI, with support from major partners such as Amazon Web Services (AWS), Google Cloud, Microsoft, NVIDIA, Salesforce, and others. Unity Catalog Open Sourced by Databricks. Key Features of Unity Catalog OSS Interoperability: Unity Catalog OSS offers a universal interface supporting any data format and compute engine. It can read tables with Delta Lake, Apache Iceberg™, and Apache Hudi™ clients via Delta Lake UniForm, and supports the Iceberg REST Catalog and Hive Metastore (HMS) interface standards. It is interoperable with all major cloud platforms, compute engines, and data and AI platforms. Unified Governance: Unity Catalog OSS enables unified governance across tabular data, non-tabular data, and AI assets such as ML models and generative AI tools, simplifying management, discovery, and development at scale. Openness: With open APIs and an Apache 2.0 licensed open source server, Unity Catalog OSS maximizes flexibility and customer choice by enabling broad interoperability across various engines, tools, and platforms. Industry and Partner Support Unity Catalog OSS is the industry’s only universal catalog for data and AI. Since its introduction in 2021, Unity Catalog has helped over 10,000 organizations break down silos created by multiple single-purpose solutions. Customer Testimonials: Supporting Cloud Partners: Supporting Data and AI Partners: The Future of Data and AI Governance With the open-sourcing of Unity Catalog, Databricks continues to lead in data and AI governance, fostering an ecosystem of interoperable tools, universal support for data and AI assets, and built-in security. Unity Catalog OSS will be available at the Data + AI Summit, furthering Databricks’ mission to empower organizations with the tools needed for modern data and AI applications. 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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June 14, 2024in Generative AI
Salesforce Spiff
14Jun

Salesforce Spiff

Incentive Compensation Management Boost seller motivation and performance with incentive compensation management software that offers real-time commission visibility. Salesforce Spiff. Automate commission calculations, reduce administrative tasks, and improve departmental alignment with compensation plans geared for revenue growth. Automate Commissions and Motivate Sellers Enhance collaboration across departments and align go-to-market priorities with effective incentive compensation management. Customized Rep Statements Empower sellers by providing commission statements, tracking progress against goals, and estimating potential earnings. Use commission tracing functionality to eliminate confusion and align organizational priorities with seller motivations. In-App Comments and Notifications Manage questions, comments, and disputes efficiently within a single platform. Promote cross-organizational collaboration through real-time comments and notifications. Commission Estimator Allow sellers to predict future earnings by providing data-driven insights into incentive estimates early in the sales process. This helps sellers and managers focus on high-impact deals. Flexible Setup Quickly set up incentive compensation plans, adapting to changes in team structure or compensation complexity. Track all plan adjustments with an audit log. Powerful Automation and Workflows Automate complex commission structures, including accelerators, tiers, and triggers. Calculate thousands of statements in seconds to ensure accuracy and efficiency. Seamless Integrations Integrate CRM, ERP, HCM, payroll, or other systems to create a real-time, single source of truth for all commission needs. Data Accuracy Use machine learning to automatically match records, eliminating manual errors and providing a reliable single source of truth. Deep Audit Trail Add effective dates to any user, plan, or logic, and lock historical statements to maintain accuracy. Manage one-off changes without concern. Automated Expense Reporting Maintain compliance under ASC 606 and IFRS 15 with automated, audit-ready expense reports. Use an intuitive interface to manage exceptions, fringe benefits, and varied commission types. Salesforce and Spiff: A Strategic Acquisition After pausing mergers and acquisitions over the past year, Salesforce acquired Spiff at the end of 2023. Previously an AppExchange partner, Spiff provided robust incentive compensation management functionality, calculating commissions for sales based on closed-won deals. Integration into Sales Cloud Salesforce has integrated “Salesforce Spiff” into Sales Cloud, emphasizing the importance of Incentive Compensation Management (ICM) for high-performing companies. With 90% of top-performing companies using incentive programs, this acquisition enhances Salesforce’s offerings. Growth and Market Presence Before the acquisition, Spiff had 1,000 customers and was growing at 100% year-over-year. Salesforce’s market share of approximately 23% in the Sales CRM market indicates significant growth potential for ICM. The Importance of ICM ICM software addresses the complexity of commission calculations, including various percentages for new sales, renewals, bonuses for new customers, accelerators, and team incentives. Accurate calculations across large sales teams are crucial for maintaining motivation and performance. This is a huge time saver. From Excel to Cloud Technology While Excel spreadsheets have been a traditional solution for ICM, Spiff’s cloud technology offers greater functionality and user-friendliness. And it interfaces directly with Sales Cloud. How Salesforce Spiff Works Available as an add-on for Sales Cloud customers from May 2024, Salesforce Spiff offers: Enhanced User Experience The low-code builder simplifies the creation of commission plans, saving time compared to Excel. Real-time commission visibility allows sales users to see potential earnings, motivating them to pursue lucrative opportunities. Final Thoughts Sales roles are essential for driving business revenue. Tools like Spiff provide transparency into potential earnings, significantly impacting sales teams’ motivation and performance. Integrating Spiff into Sales Cloud enhances Salesforce’s value proposition, helping businesses optimize their sales processes and achieve better results. Availability Salesforce Spiff will be available as an add-on for Sales Cloud customers in May 2024. Non-Salesforce customers can also purchase the product from Salesforce.com/salesforcespiff starting May 2024. 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 14, 2024in Salesforce
Databricks LakeFlow
13Jun

Databricks LakeFlow

Databricks Introduces LakeFlow: Simplifying Data Engineering Databricks, the Data and AI company, yesterday announced the launch of Databricks LakeFlow, a new solution designed to unify and simplify all aspects of data engineering, from data ingestion to transformation and orchestration. LakeFlow enables data teams to efficiently ingest data at scale from databases like MySQL, Postgres, and Oracle, as well as enterprise applications such as Salesforce, Dynamics, SharePoint, Workday, NetSuite, and Google Analytics. Additionally, Databricks is introducing Real Time Mode for Apache Spark, allowing ultra-low latency stream processing. Simplified Data Engineering with LakeFlow LakeFlow automates the deployment, operation, and monitoring of data pipelines at scale, with built-in support for CI/CD and advanced workflows that include triggering, branching, and conditional execution. It integrates data quality checks and health monitoring with alerting systems such as PagerDuty, simplifying the process of building and operating production-grade data pipelines. This efficiency enables data teams to meet the growing demand for reliable data and AI. Tackling Data Pipeline Challenges Data engineering is crucial for democratizing data and AI within businesses but remains complex and challenging. Data teams often struggle with ingesting data from siloed, proprietary systems, and managing intricate logic for data preparation. Failures and latency spikes can disrupt operations and disappoint customers. The deployment of pipelines and monitoring of data quality typically involve disparate tools, complicating the process further. Fragmented solutions lead to low data quality, reliability issues, high costs, and increasing backlogs. LakeFlow addresses these challenges by providing a unified experience on the Databricks Data Intelligence Platform, with deep integrations with Unity Catalog for end-to-end governance and serverless compute for efficient and scalable execution. Key Features of LakeFlow Availability LakeFlow represents the future of unified and intelligent data engineering. The preview phase will begin soon, starting with LakeFlow Connect. 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 13, 2024in Google Analytics, Salesforce Einstein
Salesforce Summer 24 OmniStudio Release
13Jun

Salesforce Summer 24 OmniStudio Release

OmniStudio In Summer ’24, OmniStudio (when the Managed Package Runtime setting is disabled) supports features from OmniStudio for Vlocity, including filling address fields in omniscripts with Google Map data, using Salesforce private connect for HTTP actions in integration procedures, and choosing whether to merge entries within a list in an integration procedure list action. Salesforce Summer 24 OmniStudio Release. Also, DataRaptor is now Omnistudio Data Mapper. For Winter ’25 upgrades, disable New Order Save Behavior. To prepare for future releases, remove organization and profile standard objects from data mappers, remove OmniStudio components with unlocked packages, and check the impact of the date change in the ADDDAY function return. Salesforce Summer 24 OmniStudio Release 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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June 13, 2024in Salesforce
Connect your Marketing Cloud Account to GA4
13Jun

Connect your Marketing Cloud Account to GA4 by June 30, 2024

Starting on June 30, 2024, Google will no longer support its Google Universal Analytics (UA) service. As a result, after this date, Marketing Cloud Google Audiences and Journey Analytics are available only via Google Analytics 4 (GA4). Connect your Marketing Cloud Account to GA4. What you need to do If you haven’t yet migrated to GA4, complete the migration process by June 30, 2024 to maintain functionality. To learn more about the migration process and benefits of migrating to GA4, review Update to Google Analytics 4 Before July 1. If you’ve already migrated your Google Analytics account from UA to GA4, you can access the GA4 solutions available within Marketing Cloud Engagement today. By June 30, complete the following steps to ensure that your org’s journeys remain uninterrupted: Where can I get more information? For more details, see Google Analytics for Marketing Cloud Engagement. If you have questions or need help, open a case with support via Salesforce Help. Google Analytics Integration for Marketing Cloud Engagement Integrate Google Analytics with Marketing Cloud Engagement to use Google Analytics capabilities to track and analyze journey activity. You can also view the resulting metrics directly in Marketing Cloud Engagement. Google’s native authentication creates a secure link between your Marketing Cloud Engagement instance and your Google Analytics account. To use this integration, your Marketing Cloud Engagement account must have the Google Analytics Audiences SKU. You must also have at least a Marketing Cloud Engagement Enterprise 2.0 account. For more information about these requirements, contact your Salesforce account representative. This integration supports Google Analytics properties that are created using the latest version of the Google Analytics platform, known as Google Analytics 4 or GA4. It supports both the free version and the paid Google Analytics 360 enterprise version. You can revoke the integration from a Google Analytics account. For the integration, Google recommends that you designate a primary company account to track all your properties and views. For more information, see the Google Hierarchy of organizations, accounts, users, properties, and views. Before you configure the Google Analytics Integration for Marketing Cloud Engagement: 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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June 13, 2024in Google Analytics, Salesforce, Salesforce Marketing Cloud
AI Yes Gen AI No
12Jun

AI Yes Gen AI No

The race in generative AI may conclude sooner than anticipated, despite it barely starting for most. Consider the role of generative AI as a supportive assistant, aiding users across dashboards, messaging platforms, and datasets by summarizing documents, chats, and answering queries in natural language. AI Yes Gen AI No. At PegaWorld, significant attention was drawn to Pega’s Knowledge Buddy, an assistant integrated with LLM, specifically OpenAI on Azure, tailored to organization-specific data. CTO Don Schuerman emphasized the practicality of Pega’s solution: “Knowledge Buddy solves many enterprise problems, but it’s not the only RAG-based product out there. Everyone’s got one.” Indeed, major companies each boast their AI assistants: Adobe with AI Assistant, Salesforce with Einstein Copilot, Microsoft with Copilot, HubSpot with various AI assistants, Oracle’s Digital Assistant, and SAP’s Joule. Possessing an AI assistant is now a necessity, not a differentiator, as it has become standard across competitors. Generative AI tools like text and image generators have garnered public interest due to their accessibility. For instance, tools like Google Gemini enable anyone to create, blurring the lines between creator roles. The prevalence of generative AI across over 14,000 martech products is notable, exemplified by MarTechBot, which leverages AI to answer queries and generate images based on MarTech’s vast archive. While text and image generation capabilities rapidly advance, offering these tools is becoming a norm rather than a novelty. Soon, lacking these capabilities will be akin to a supermarket not selling eggs. Does this signify the end of the AI arms race? While generative AI will continue to evolve, it is becoming ubiquitous as a fundamental requirement. However, it’s crucial to distinguish the generative AI arms race from the broader AI landscape. Non-generative AI, such as predictive analytics and classification AI used in digital asset management systems, plays a critical role. This statistical AI analyzes data at scale to derive insights, recommend products, or guide customers through complex journeys. Pega exemplifies this with its AI-driven decisioning and workflow automation, predicting optimal actions for specific challenges, which is distinct from the generative AI focus seen in competitors like Salesforce, Adobe, and Oracle. Looking forward, while generative AI will permeate everyday applications, the true transformative AI for enterprises might lie in refined predictive AI or fully autonomous AI capable of unsupervised business decision-making. In conclusion, while text and image generation will become commonplace, their revolutionary impact may wane compared to the potential of other AI applications poised to redefine enterprise capabilities. 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 12, 2024in Generative AI
Salesforce Summer 24 Experience Cloud Release
12Jun

Salesforce Summer 24 Experience Cloud Release

Experience Cloud Customization is key, and Experience Cloud is here to help you deliver. Salesforce Summer 24 Experience Cloud Release. Integrate enhanced LWR sites with Data Cloud to gain deeper insights into site visitor interactions. Elevate your site with new styling features for forms and buttons, streamlined search options, and increased control over the layout and spacing of your LWR sites. Improve your visitor login experience with a new integration framework for headless login and guest user identity flows. Stay productive on the go with a collection of updates to the Mobile Publisher app. Salesforce Summer 24 Experience Cloud 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 12, 2024in Salesforce Experience Cloud
Salesforce Driving Change
11Jun

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 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 11, 2024in Einstein 1 Platform, Generative AI, Mulesoft, Salesforce, Salesforce Data Cloud, Salesforce Implementation Services, Salesforce Manufacturing Automotive Energy, Salesforce Tableau
Adopt a Large Language Model
11Jun

Adopt a Large Language Model

In 2023, Algo Communications, a Canadian company, faced a significant challenge. With rapid growth on the horizon, the company struggled to train customer service representatives (CSRs) quickly enough to keep pace. To address this, Algo turned to an innovative solution: generative AI. They needed to Adopt a Large Language Model. Algo adopted a large language model (LLM) to accelerate the onboarding of new CSRs. However, to ensure CSRs could accurately and fluently respond to complex customer queries, Algo needed more than a generic, off-the-shelf LLM. These models, typically trained on public internet data, lack the specific business context required for accurate answers. This led Algo to use retrieval-augmented generation, or RAG. Many people have already used generative AI models like OpenAI’s ChatGPT or Google’s Gemini (formerly Bard) for tasks like writing emails or crafting social media posts. However, achieving the best results can be challenging without mastering the art of crafting precise prompts. An AI model is only as effective as the data it’s trained on. For optimal performance, it needs accurate, contextual information rather than generic data. Off-the-shelf LLMs often lack up-to-date, reliable access to your specific data and customer relationships. RAG addresses this by embedding the most current and relevant proprietary data directly into LLM prompts. RAG isn’t limited to structured data like spreadsheets or relational databases. It can retrieve all types of data, including unstructured data such as emails, PDFs, chat logs, and social media posts, enhancing the AI’s output quality. How RAG Works RAG enables companies to retrieve and utilize data from various internal sources for improved AI results. By using your own trusted data, RAG reduces or eliminates hallucinations and incorrect outputs, ensuring responses are relevant and accurate. This process involves a specialized database called a vector database, which stores data in a numerical format suitable for AI and retrieves it when prompted. “RAG can’t do its job without the vector database doing its job,” said Ryan Schellack, Director of AI Product Marketing at Salesforce. “The two go hand in hand. Supporting retrieval-augmented generation means supporting a vector store and a machine-learning search mechanism designed for that data.” RAG, combined with a vector database, significantly enhances LLM outputs. However, users still need to understand the basics of crafting clear prompts. Faster Responses to Complex Questions In December 2023, Algo Communications began testing RAG with a few CSRs using a small sample of about 10% of its product base. They incorporated vast amounts of unstructured data, including chat logs and two years of email history, into their vector database. After about two months, CSRs became comfortable with the tool, leading to a wider rollout. In just two months, Algo’s customer service team improved case resolution times by 67%, allowing them to handle new inquiries more efficiently. “Exploring RAG helped us understand we could integrate much more data,” said Ryan Zoehner, Vice President of Commercial Operations at Algo Communications. “It enabled us to provide detailed, technically savvy responses, enhancing customer confidence.” RAG now touches 60% of Algo’s products and continues to expand. The company is continually adding new chat logs and conversations to the database, further enriching the AI’s contextual understanding. This approach has halved onboarding time, supporting Algo’s rapid growth. “RAG is making us more efficient,” Zoehner said. “It enhances job satisfaction and speeds up onboarding. Unlike other LLM efforts, RAG lets us maintain our brand identity and company ethos.” RAG has also allowed Algo’s CSRs to focus more on personalizing customer interactions. “It allows our team to ensure responses resonate well,” Zoehner said. “This human touch aligns with our brand and ensures quality across all interactions.” Write Better Prompts – Adopt a Large Language Model If you want to learn how to craft effective generative AI prompts or use Salesforce’s Prompt Builder, check out Trailhead, Salesforce’s free online learning platform. Start learning Trail: Get Started with Prompts and Prompt Builder 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 11, 2024in Generative AI, Salesforce Einstein
AI-Powered Smarter Media
10Jun

AI-Powered Smarter Media

Transforming Retail Media: Personalization and Faster Monetization with Smarter Media Dentsu, a leading growth and transformation partner, has announced a strategic collaboration with Salesforce, the world’s #1 AI-powered CRM, to launch Smarter Media—an innovative solution designed to accelerate retail media monetization through personalized buying experiences powered by AI. Why Smarter Media Matters With shifting consumer priorities, personalized retail experiences are more critical than ever. Salesforce research highlights that: Smarter Media addresses this growing demand by enabling retailers to quickly adapt, offering tailored buying experiences that strengthen customer loyalty while driving revenue. What is Smarter Media? Smarter Media combines the power of Salesforce’s ecosystem—including Media Cloud, Sales Cloud, and Marketing Cloud Engagement—to deliver an end-to-end retail media solution. The platform assesses a brand’s retail media maturity, identifies gaps, and creates a roadmap to optimize media, technology, and skills. The solution simplifies access to advanced media technology, empowering brands to connect with customers 24/7, expand their customer base, and nurture long-term relationships. Key Features and Benefits 1. Comprehensive Assessment 2. AI-Powered Personalization 3. Built for Retail Media Success 4. Quick and Easy Adoption How Smarter Media Works Smarter Media combines Salesforce Sales Cloud’s leading sales and pipeline management tools with Media Cloud’s Advertising Sales Management application. The result is a solution that seamlessly supports both simple and complex retailer models: Real-World Value Across Retail By addressing challenges like fragmented media strategies and inaccessible technology, Smarter Media delivers transformative value for retailers: Driving Innovation Together Paul Lynch, Integrated Solutions Lead for Commerce and Retail at Dentsu UK&I, shared: “Smarter Media will democratize cutting-edge technology for brands by providing a one-stop solution to create personalized buying experiences. In today’s experience economy, maintaining compelling customer relationships has never been more vital.” Christopher Dean, SVP and GM for Communications, Media & Entertainment at Salesforce, added: “By combining Salesforce Media Cloud’s industry-specific solutions with Dentsu’s creative retail media expertise, we’re making advanced media technology accessible for retailers, helping them thrive in a competitive market.” The Future of Retail Media Smarter Media from Dentsu and Salesforce offers a transformative approach to retail media, empowering brands to deliver personalized experiences, improve customer loyalty, and accelerate revenue growth—all while leveraging cutting-edge AI and automation. With its ability to deliver value in just six months, Smarter Media is the ultimate solution for retailers looking to succeed in today’s fast-paced, customer-centric market. 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 10, 2024in Data, Salesforce, Salesforce Media Cloud, Technology

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