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analytics 360 and journey builder

Summer 24 Analytics Release

Analytics Analytics enhancements include new and updated features for Lightning reports and dashboards, Data Cloud reports and dashboards, CRM Analytics, Intelligent apps, and Tableau. Summer 24 Analytics Release. Summer 24 Analytics 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 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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AI Powered Education Cloud

AI Powered Education Cloud

Salesforce Unveils New AI-Powered Features for Education Cloud Salesforce recently announced a suite of new features for its Education Cloud platform designed to simplify tasks for educators and students. AI Powered Education Cloud is here. These features range from student-focused tools, such as helping students stay on track with their degree requirements, to admin-focused capabilities like standardizing an institution’s entire student data corpus. New AI Capabilities Available in June Features Coming in October Enhancing Education with AI Salesforce positions these new features as tools to alleviate teacher burnout and enhance student career prospects. “With industry-specific AI and data tools, Education Cloud will help K-12 and higher ed institutions provide more individualized support for every student while increasing efficiency and helping to reduce staff burnout,” said Salesforce Vice President Bala Subramanian in a prepared statement. “This will free educators and staff to focus on improving student outcomes like career readiness, well-being, and graduation rates.” 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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Copilot A Step Up For Merchandising

Copilot A Step Up For Merchandising

A Leap Forward in Merchandising Merchants face the ongoing challenge of enhancing loyalty, conversion rates, and shopper lifetime value. Enter Einstein Copilot, ushering in automation to boost productivity and inject intelligence for an elevated customer experience in unprecedented ways. Salesforce asserts that early AI adopters are saving an average of 6.4 hours per week. Copilot A Step Up For Merchandising. Einstein Copilot empowers merchants to swiftly craft personalized product promotions to attract new customers and target slow-moving stock based on inventory insights. Additionally, it optimizes site traffic with search engine optimization (SEO) content, generates product descriptions, and enhances checkout conversion with AI recommendations tailored to specific objectives. Copilot A Step Up For Merchandising Prior to Einstein Copilot, other generative AI copilot solutions operated as separate applications, disconnected from the workflow, and lacked the ability to securely leverage trusted company data for generating relevant or consistent results from large language models. Einstein Copilot integrates seamlessly within the world’s leading AI CRM and harnesses data from any Salesforce application to deliver more precise AI-powered recommendations and content. Through natural language prompts, Einstein Copilot facilitates a range of tasks, including: Sales: Conducting account research, preparing for meetings, and automatically updating account information in Salesforce. Summarizing highlights, gauging customer sentiment, and extracting next steps from video calls. Searching for specific details in customer calls and auto-generating sales emails to match tone and style while aligning with customer context. Drafting clauses and embedding them directly within customer contracts. Service: Automatically responding to customers with personalized, relevant answers sourced from trusted company knowledge across various channels like email, SMS, live chat, or social media. Empowering service teams to resolve customer issues swiftly using generative answers integrated seamlessly into their workflow. Automating tasks like summarizing support cases and field work orders. Marketing: Generating email copy for marketing campaigns, refining campaign segmentation with Data Cloud, creating website landing pages based on personalized consumer preferences, and auto-populating contact forms with each customer’s unified profile in Salesforce. Generating surveys following online actions to enhance long-term engagement and purchasing. Commerce: Assisting in building high-converting digital storefronts, automating complex tasks like managing multi-product catalog data, crafting product descriptions in multiple languages, generating personalized product promotions, and optimizing SEO metadata for conversion. Customizing and designing storefront components using natural language prompts. Developers: Converting natural language prompts into Apex code, offering suggestions for more effective and accurate code, and proactively scanning for code vulnerabilities within the developer environment. Tableau: Transitioning swiftly from raw data to actionable insights through a conversational interface, enhancing data analyst productivity with a natural language assistant for faster data exploration, building relevant visualizations, automating repetitive tasks, and facilitating efficient data curation. 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 Commerce Cloud and Einstein Copilot Capabilities

Salesforce Commerce Cloud and Einstein Copilot Capabilities

Salesforce Enhances Commerce Cloud and Einstein Copilot Salesforce has announced a double whammy of upgrades to its Commerce Cloud and Einstein Copilot solutions, aiming to supercharge customer service and experience offerings for merchants. And yes, they’re pulling out all the stops – think of it as giving your online store a superhero cape and a sidekick with a PhD in customer satisfaction. Salesforce Commerce Cloud and Einstein Copilot Capabilities. Enhancements to Commerce Cloud Commerce Cloud is getting three major innovations designed to help businesses create more sophisticated commerce sites, boost personalization, and drive revenue growth. Salesforce promises to tackle rising customer expectations by providing a seamless, integrated experience across all channels. In other words, they’re turning your website into a mind-reading wizard, minus the beard and wand. But probably wearing a cool purple cape with stars. According to Michael Affronti, GM and SVP of Commerce Cloud, these new features will enable Salesforce’s customers to deliver superior shopping experiences: “Commerce companies are looking to architect high-caliber ecommerce sites that can swiftly adapt to changing customer expectations and continue to foster strong customer relationships. With the combined power of data, AI, and CRM, Commerce Cloud gives brands the choice of the right tool so they can build superior shopping experiences their way.” New Commerce Cloud Capabilities Einstein Copilot Advancements Salesforce is pulling out the big AI guns, leveraging generative AI (GenAI) to enhance Einstein Copilot with new marketing and merchandising capabilities alongside its traditional sales and service functions. It’s like your old assistant got a brain transplant and now has the IQ of Einstein, the charm of James Bond, and the work ethic of a coffee-fueled startup founder. Ariel Kelman, President and CMO of Salesforce, emphasized the importance of these advancements: “Marketing and commerce leaders need a trusted advisor to help them tap into the promise of generative AI. With the Einstein 1 Platform we’re giving organizations the power to unify all of their data on one trusted platform. This is the key to getting results from generative AI that are actually useful in driving your business forward.” Key Features of Einstein 1 for Marketing and Commerce Expanding Partnerships and Enhancing AI and Data Offerings In addition to these product enhancements, Salesforce has expanded its partnership with IBM to improve AI and data offerings. The collaboration aims to merge IBM’s watsonx.ai platform with Salesforce’s Einstein 1 software, providing customers with the ability to make data-driven decisions and access actions directly within their workflows. It’s like pairing up Batman and Superman to fight the evil forces of inefficiency and bad data. The partnership includes bidirectional data integration, flexible large language models (LLMs), prebuilt CRM solutions, and a focus on responsible AI development. IBM will also join Salesforce’s Zero Copy Partner Network, ensuring that data moves as smoothly as butter on hot toast. Salesforce Commerce Cloud and Einstein Copilot Capabilities These enhancements and partnerships underline Salesforce’s commitment to providing innovative solutions that enhance customer experiences and drive business growth, all while making sure your digital commerce experience is smoother than a jazz saxophone solo. 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 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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Generative AI and Service Cloud

Generative AI and Service Cloud

Salesforce Service Cloud users are set to receive more Einstein 1 generative AI tools in June and October. A key development is the expansion of automated customer conversations across more sales and marketing platforms. Generative AI and Service Cloud family of tools is growing. This insight aims to uncover the numerous use cases of generative AI in the modern contact center. We’ll help you understand how generative AI can fast track your contact center’s efficiency, improve data analysis capabilities, streamline QA and coaching processes, and make customers’ experiences better.  Today, Salesforce launched Unified Conversations for WhatsApp, which automates bot responses to customer inquiries related to targeted marketing messages on the popular messaging app. Additionally, Salesforce plans to extend support to Line, a messaging app popular in Japan, later this year. These services are built on Salesforce’s Einstein 1 generative AI platform. The platform’s bots aggregate structured and unstructured CRM, product, service, and other data through Salesforce Data Cloud to generate personalized responses. These new features enable conversations to be routed to the digital channels where a Salesforce user’s customers are the most active. And to move omnichannel as customers needs change. Salesforce is also introducing a “bring your own channel” connector to support digital channels not natively covered by the platform. Current examples might include TikTok, Discord, and South Korea’s KakaoTalk, according to Ryan Nichols, Chief Product Officer for Salesforce Service Cloud. Generative AI and Service Cloud “It’s about getting data from all your conversations with customers from Service Cloud into Data Cloud and using that to not just deliver excellent customer service, but also grow your business,” Nichols said. Salesforce Einstein Conversation Mining, a Service Cloud feature currently in beta, aggregates conversations across customer channels to surface insights on the topics customers need help with. This aims to turn inbound customer service from a cost center into a revenue center, a goal long pursued at conferences like Dreamforce and ICMI. This massive change drives more than revenue, it drives ROI. Performance metrics such as time-to-answer and hold-time reduction have traditionally pressured agents to minimize call duration to retain their jobs. Now Salesforce is going to help them. While some skeptics question if generative AI can achieve this ambitious goal, Constellation Research analyst Liz Miller suggests it might be possible. Having previously managed a contact center herself, Miller recognizes the transformative potential of generative AI. With the aid of data, bots, and copilot counterparts assisting humans, agents could save time and access the right information to upsell customers during service engagements. Here are some of the ways Generative AI will change customer service forever. 1. Monitor and Ensure Compliance Maintaining compliance is crucial for fostering customer trust, preserving a positive brand image, and avoiding hefty privacy and compliance fines. In a contact center, compliance mistakes can quickly escalate into costly lawsuits and revenue losses. Generative AI allows your compliance team to proactively manage compliance by quickly identifying trends and addressing issues in real time. Instead of waiting for a compliance issue to escalate, you can fine-tune your AI model to provide compliance insights whenever necessary. For instance, you can ask: This approach offers more comprehensive insights than scorecards, which often lack context and accuracy. Generative AI’s analytical capabilities provide actionable insights to improve compliance across your contact center. 2. Get Insights About Your Call Center Performance at a Glance Generative AI language models make it easier than ever to gain insights into your contact center’s performance. Simply ask the model for the information you need. For example, you can inquire about the real-time average handling time (AHT) by asking, “What is the average handling time today?” But that’s just the beginning. With an advanced language model, you can compare metrics across different quarters or generate ideas for coaching plans by asking for each agent‘s strengths and weaknesses and suggestions for improvement. 3. Automate Post-Call Work Generative AI assistants can act as real-time notetakers, summarizing 100% of calls and freeing agents from manual note-taking. This automation makes after-call work effortless, generating comprehensive and compliant notes with a single click. 4. Capture Coachable Moments Easily Incorporating real-world coachable moments into your sessions is essential for tangible performance improvements. Generative AI can identify areas where agents typically struggle without requiring hours of call listening and note-checking. Traditional methods mean compromising on the specificity of coaching due to time constraints, especially when managing large teams. Generative AI solutions, however, enable call center managers to obtain detailed insights about each agent’s performance quickly. This allows for personalized coaching plans that address individual shortcomings efficiently. You can ask: 5. Improve Decision Making With Efficient Root-Cause Analysis Effective decision-making can transform your contact center. However, many managers struggle to identify the root causes of performance issues. Generative AI algorithms can analyze vast amounts of data and customer interactions, uncovering patterns and trends in customer and agent behavior. These insights help pinpoint the issues most impacting performance and customer satisfaction, allowing you to make informed decisions. The process is nearly fully automated, freeing your team from time-consuming data collection tasks. 6. Reduce Manual Work and Focus on Improvement Improving contact center performance requires extensive data, which is resource-intensive to collect manually. Generative AI simplifies this by analyzing customer interactions and providing actionable insights on demand. This saves time and money, allowing you to focus on improvements that deliver a higher ROI. 7. Scale What Works Discovering and scaling best practices is essential for team-wide success. Generative AI and Natural Language Processing (NLP) models can analyze customer interactions to identify effective strategies and coaching opportunities. For example, if a representative handles challenging situations well, AI can generate tips for other team members based on these successful interactions. Generative AI can identify top-performing agents and analyze their calls to extract best practices, providing a more comprehensive approach than focusing on a single agent. Queries you might use include: 8. Generate Agent Scripts Generative AI enables you to draft and fine-tune agent scripts for various customer interactions. Instead of relying

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Einstein 1 Marketing and Commerce Tools

Einstein 1 Marketing and Commerce Tools

Salesforce Unveils New Einstein 1 Marketing and Commerce Innovations to Enhance the Customer Journey with Unified Data and Trusted AI Einstein 1 Marketing and Commerce Tools announced at 2024 Connections event in Chicago, IL. Einstein Copilot for Marketers and Merchants: These tools enable brands to automatically generate campaign briefs, personalized content, and promotions using trusted data. Data Cloud for Commerce: Unifies business and customer data to deliver smart insights, allowing merchandisers to launch personalized promotions, offers, and shopping experiences, thus enhancing customer loyalty and boosting sales. Einstein Personalization: Uses the unified customer data profile in Data Cloud to automatically trigger the next best interaction based on customer behavior and history with a brand. Salesforce Expands Einstein Copilot Capabilities Today at Connections, Salesforce (NYSE: CRM), the leading AI CRM platform, announced new features for its Einstein Copilot. This trusted conversational AI assistant now aids marketers and merchants with daily tasks, in addition to its existing functionalities for sales and service. Salesforce also introduced new tools for unifying business and commerce data, along with an AI-powered personalization engine to enhance customer interactions at every touchpoint. “With the Einstein 1 Platform, we’re giving organizations the power to unify all their data on one trusted platform. This is key to achieving actionable AI-driven results.” Ariel Kelman, President and CMO of Salesforce Why It Matters Personalization is essential for customer satisfaction and business success. However, many organizations struggle to connect the right data and touchpoints to fully utilize AI for personalization. What’s New Einstein 1 Marketing and Commerce Tools Unified Data Platform: Brands can now unlock and unify all their data on a single platform, enabling personalized engagements across marketing, commerce, sales, and service. Key innovations include: Einstein Copilot for Marketers: Einstein Copilot for Merchants: Data Cloud for Commerce: Einstein Personalization: Unified AI Assistants Powered by Trusted Data Salesforce’s Einstein Copilot for Marketers and Merchants stand out due to their integration with the Einstein 1 Platform and Salesforce metadata. Unlike typical LLMs, Einstein Copilot uses metadata to interpret prompts with complete context, ensuring relevant and secure data usage. Einstein Trust Layer: Ensures the confidentiality of data within AI responses, maintaining security, privacy, and governance. Customer Perspective Matthew Randall, Head of Software and Integration at Aston Martin, praised Salesforce for enabling personalized, VIP experiences through unified data and AI capabilities. “The Einstein 1 Platform allows us to grow and enable our AI enterprise.” Availability Einstein 1 Marketing and Commerce Tools are evolving. 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 and Google LLMs

Salesforce and Google LLMs

In recent weeks, AI professionals had the privilege of attending groundbreaking hands-on workshops at the headquarters of two Silicon Valley giants, Salesforce and Google. These experiences offered a firsthand look at the contrasting approaches these tech titans are taking to bring enterprise-grade, large language model (LLM) applications to scale. As they immersed themselves in the cutting-edge world of AI development, a sense of excitement and awe washed over them at the unfolding history. Salesforce and Google LLMs. The workshops provided a fascinating glimpse into the future of enterprise software, where AI is not just a buzzword but a transformative force reshaping how businesses operate. Salesforce and Google, each with their unique strengths and philosophies, are at the forefront of this revolution, pushing the boundaries of what’s possible with LLMs and retrieval-augmented generation (RAG). As they navigated through the hands-on exercises and engaged with the brilliant minds behind these innovations, they realized they were witnessing a pivotal moment in Silicon Valley and computer history. Salesforce LLM Salesforce: Low-Code, Business User-Friendly At the “Build the Future with AI and Data Workshop” held at Salesforce Tower in downtown San Francisco, the focus was on empowering business users with a low-code, clicks-not-code approach. The workshop, attended by around 100 people, took place in a ballroom-sized auditorium. Each attendee received a free instance of the Generative AI-enabled org, pre-populated with a luxury travel destination application, which expired in 5 days. Data Cloud: Lots of Clicks The workshop began with setting up data ingestion and objects for linking AWS S3 buckets to Salesforce’s Data Cloud. The process was intricate, involving a new nomenclature reminiscent of SQL Views within Views, requiring a considerable number of setup steps before accessing Prompt Builder. It should be noted that when using Einstein Studio for the first time, users don’t normally need to do Data Cloud setup. This was done in this workshop so they could later include Data Cloud embeddings in a Prompt Builder retrieval. Prompt Builder: Easy to Use Prompt Builder was the highlight of the workshop. It allows for template variables and various prompt types, including the intriguing Field Prompt, which enables users to attach a prompt to a field. When editing a record, clicking the wizard button in that field executes the prompt, filling out the field automatically. This feature has the potential to greatly enhance data richness, with numerous use cases across industries. Integrating Flow and Apex with Prompt Builder demonstrated the platform’s flexibility. They created an Apex Class using Code Builder, which returned a list that could be used by Prompt Builder to formulate a reply. The seamless integration of these components showcased Salesforce’s commitment to providing a cohesive, user-friendly experience. Einstein Copilot, Salesforce’s AI assistant, exhibited out-of-the-box capabilities when integrated with custom actions. By creating a Flow and integrating it into a custom action, users could invoke Einstein Copilot to assist with various tasks. A Warmly Received Roadmap Salesforce managers, including SVP of Product Management John Kucera, provided insights into the Generative AI roadmap during a briefing session. They emphasized upcoming features such as Recommended Actions, which package prompts into buttons, and improved context understanding for Einstein Copilot. The atmosphere in the room was warm, with genuine excitement and a sense of collaboration between Salesforce staff and attendees. The workshop positioned Salesforce’s AI solution as an alternative to hiring an AI programmer and building AI orchestration using tools like those used in the Google workshop. Salesforce’s approach focuses on a user-friendly interface for setting up data sources and custom actions, enabling users to leverage AI without relying on code. This low-code philosophy aims to democratize AI, making it accessible to a broader range of business users. For organizations already invested in the Salesforce ecosystem, the platform’s embedded AI capabilities offer a compelling way to build expertise and leverage the power of Data Cloud. Salesforce’s commitment to rapidly rolling out embedded AI enhancements, all building on the familiar Admin user experience, makes it an attractive option for businesses seeking to adopt AI without the steep learning curve associated with coding. While there was palpable enthusiasm among attendees, the workshop also highlighted the complexity of setting up data sources and the challenges of working with a new nomenclature. As Salesforce continues to refine its AI offerings, striking the right balance between flexibility and ease of use will be crucial to widespread adoption. Google LLM Google: Engineering-Centric, Code-Intensive The “Build LLM-Powered Apps with Google” workshop, held on the Google campus in Mountain View, attracted around 150 attendees, primarily developers and engineers. They met in a large meeting room with circular tables. The event kicked off with a keynote presentation and detailed descriptions of Google’s efforts in creating retrieval-augmented generation (RAG) pipelines. They participated in a hands-on workshop, building a RAG database for an “SFO Assistant” chatbot designed to assist passengers at San Francisco airport. Running Postgres and pgvector with BigQuery Using Google Cloud Platform, they created a new VM running Postgres with the pgvector extension. They executed a series of commands to load the SFO database and establish a connection between Gemini and the database. The workshop provided step-by-step guidance, with Google staff helping when needed. Ultimately, they successfully ran a chatbot utilizing the RAG database. The workshop also showcased the power of BigQuery in generating prompts at scale through SQL statements. By crafting SQL queries that combined prompt engineering with retrieved data, they learned how to create personalized content, such as emails, for a group of customers in a single step. This demonstration highlighted the potential for efficient, large-scale content generation using Google’s tools. Gemini Assistant One of the most exciting discoveries for them during the workshop was the Gemini Assistant for BigQuery, a standout IT Companion Chatbot tailored for the GCP ecosystem. Comparable to GitHub Copilot Chat or ChatGPT-Plus, Gemini Assistant demonstrated a deep understanding of GCP and the ability to generate code snippets in various programming languages. What distinguishes Gemini Assistant is its strong grounding in GCP knowledge, enabling it to provide contextually

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Education Cloud Academic Operations Explained

Education Cloud Academic Operations Explained

Education Cloud Academic Operations Academic Operations serves as the central hub for creating and managing your institution’s learning-related objects and the relationships between them. With this powerful tool, staff can: The entities you set up in Academic Operations—such as learning courses, programs, and schedules—lay the groundwork for the Recruitment & Admissions and Student Success apps. For instance, curricula and program data form the basis of your course catalog, while plans created in Program Plan Builder flow into Intelligent Degree Planning, guiding the Learner Progress View. Configuring Academic Operations To configure Academic Operations for your institution: Integration Capabilities Salesforce’s education data model seamlessly integrates with various Salesforce tools, including Data Cloud, Marketing Cloud, Salesforce Scheduler, and Einstein AI, as well as custom components like a comments feature and outcome management tools. This integration ensures a comprehensive solution for managing and enhancing the entire learning experience. 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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AI Misconceptions Dispelled

AI Misconceptions Dispelled

The recent launch of GPT-4o (“o” for “omni”) has captivated everyone with its seamless human-computer interaction. Capable of solving math problems, translating languages in real-time, and even answering queries in a human voice with emotions, GPT-4o is a game-changer. Within hours of its debut, shares of Duolingo, the popular language EdTech platform, plummeted by 26% as investors perceived GPT-4o as a potential threat. But what AI Misconceptions Dispelled, would prevent this? Fears about AI are widespread. Many believe it will become so advanced and efficient that employing humans will be too costly, potentially leading to mass unemployment. Over the past year, it has become clear that artificial intelligence (AI) is among the most disruptive forces in business. AI promises efficiency and speed but also raises concerns about bias and ethics. In a candid conversation on Mint’s new video series All About AI, Arundhati Bhattacharya, Chairperson and CEO of Salesforce India, dispels these fears and discusses bridging the generation gap and making Salesforce a Great Place to Work. Forging Unity and Vision “When I came in, there were disparate groups—sales and distribution, technology and products, support and success. Each group had its leaders, but nobody was bringing them together to create one Salesforce vision and ensure that each group developed the Salesforce DNA,” Arundhati reflects on her April 2020 arrival. She underscored Salesforce’s values-driven approach, highlighting the significance of Trust, Customer Success, Innovation, Equality, and Sustainability. Under Arundhati’s leadership, Salesforce India has risen from 36th to 4th on the Great Places to Work list. Navigating AI Skepticism AI advancements are profoundly shaping industries and humanity’s future. According to Frost & Sullivan’s “Global State of AI, 2022” report, 87% of organizations see AI and machine learning as catalysts for revenue growth, operational efficiency, and better customer experiences. A 2023 IBM survey found that 42% of large businesses have integrated AI, with another 40% considering it. Furthermore, 38% of organizations have adopted generative AI, with an additional 42% contemplating its implementation. Despite the excitement around AI, skepticism remains. Arundhati offers insights on addressing this skepticism and using AI to benefit society. She suggests a balanced approach, noting that every significant technological change has sparked similar fears. Arundhati argues that AI won’t necessarily lead to massive unemployment, given humanity’s ability to adapt and evolve. Amidst India’s socio-economic challenges, Arundhati sees AI as a potent tool for positive change. She cites examples like the Prime Minister’s Jan Dhan Yojana, where AI-enabled solutions facilitated broader financial inclusion. “Similarly, AI can greatly improve services in state hospitals where doctors are overworked. AI can gather patient symptoms and present an initial diagnosis, allowing doctors to focus on more critical aspects. The technology is also being used to check sales conversations for accuracy in insurance, ensuring compliance and reducing mis-selling,” she elaborates. Driving Productivity through AI Integration Improving productivity in India is a pressing issue, and AI can effectively bridge this gap. However, the term “AI” is often overused and misunderstood. People need to approach AI initiatives with intentionality and focus. First, determine the use cases for AI, such as improving productivity, gaining customer mindshare, or enhancing customer experience. Once that is clear, ensure your organization is structured to provide the right inputs for AI, which involves having a robust data strategy. Tools like Data Cloud can help by integrating various data sources without copying the data and extracting intelligence from them. Lastly, securing buy-in from employees is crucial for successful AI implementation. Addressing their concerns, communicating the potential risks, and aligning everyone toward the same goal is essential. Securing the Future: Addressing AI Security Concerns As AI technologies advance, concerns about their security and potential misuse also rise. Threat actors can exploit sophisticated AI tools intended for positive purposes to carry out scams and fraud. As businesses rely more on AI, it is vital to recognize and protect against these security risks. These risks include data manipulation, automated malware, and abuse through impersonation and hallucination. To tackle AI security challenges, consider prioritizing cybersecurity measures for AI systems. Salesforce makes substantial investments in cybersecurity daily to stay ahead of potential threats. “We use third-party infrastructure with additional security layers on top. Public cloud infrastructure provides multiple layers of security, much like a compound with perimeter, building, and apartment security,” Arundhati explains. Empowering the Next Generation Workforce and Fostering Innovation Transitioning from her previous role as Chairperson of the State Bank of India to leading Salesforce India, Arundhati acknowledges the generational shift in workforce dynamics. She emphasizes understanding and catering to the evolving needs and aspirations of a younger workforce, focusing on engagement and fulfillment beyond monetary incentives. “Salesforce has a strong giving policy called one by one by one, where we give 1% of our profit, products, and time to the nonprofit sector. This resonates with the younger workforce, making them feel engaged and fulfilled.” Through a dedicated startup program, Salesforce fosters a collaborative ecosystem where startups can leverage resources, tools, and connections to thrive and succeed. Arundhati’s stewardship of Salesforce India epitomizes a transformative leadership approach anchored in values, innovation, and community empowerment. Under her leadership, Salesforce India continues to chart a course toward sustainable growth and inclusive prosperity, poised to redefine the paradigm of corporate success in the digital age. 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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Summer 24 The AI Release

Summer 24 The AI Release

Salesforce Unveils Summer 2024 Release with Generative AI at the Forefront Salesforce has announced its Summer 2024 release, featuring generative AI (GenAI) as a key highlight. Set to be generally available on June 17, 2024, this release promises enhanced productivity and access to large language models (LLMs) on an open platform. Read on to see why we call Summer 24 the AI release. Key Features of the Summer 2024 Release 1. Bring Your Own LLM Expansion 2. Slack AI 3. Zero Copy Integration with Amazon Redshift 4. Vector Database 5. Data Cloud for Commerce 6. Digital Wallet Enhanced Security with Einstein Trust Layer The Einstein Trust Layer ensures enhanced protection for customer and company data, making the new features more secure. Upcoming Pre-Summer Releases In addition to the major features coming in June, Salesforce has already introduced several innovations: Unified Knowledge Solution Salesforce and Vonage Partnership Conclusion Salesforce’s Summer 2024 release is packed with generative AI enhancements, robust integrations, and new tools aimed at boosting productivity, security, and data insights. With features gradually rolling out and pre-summer innovations already available, Salesforce continues to lead in delivering cutting-edge AI solutions to its users. 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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Zero Copy from Salesforce

Zero Copy from Salesforce

When was the last time you relocated? Remember the hassle of packing up all your stuff, loading it onto a truck, and unpacking everything at your new digs, hoping it all survived the journey? Now, imagine if your furniture and possessions could simply teleport to your new location in perfect condition. While this may not be possible (yet) in the physical world, the concept of zero copy integration offers a similar seamless experience for handling customer data. Zero Copy from Salesforce. Zero copy integration, also known as zero ETL (extract-transform-load), allows data to be shared among multiple data stores without the need for actual movement or duplication. This is particularly advantageous for companies utilizing cloud data warehouses like Snowflake or Google BigQuery. Some companies hesitate to adopt a customer data platform (CDP) due to concerns about duplicating data. However, with zero copy integration, users can leverage the benefits of a CDP—such as data harmonization, identity management, built-in analytics, and activation—without the drawbacks of physical data movement. Some functions related to data have advanced with astonishing speed: generation, dissemination, storage, even security (and yes, that one still has many challenges). But there are others still mired in the stone age—call it the 80s—of the digital era. For example, think copies. How many business professionals still make multiple copies of sensitive data, just as it’s been done for the last four decades? What does this endless duplication do for regulatory risk, security threats and privacy liabilities? This is a symptom of a larger problem: Far from the data-centric universe we all envisioned, we’re beholden instead to the apps used to create, store, and distribute data. There’s an app for everything, but also a database for every app, leading to dozens of data silos undergoing hundreds of integrations, increasing fragmentation, complexity, and costs. The basic idea, according to Dan DeMers, Cinchy’s CEO, is that the framework aims to remove application data silos by using access-based data collaboration versus standard API-base data integration that involves copying data and branding it with complex app-specific coding. This would be done by access controls set in the data layer. It would also involve: What is Zero Copy Integration? Zero copy integration enables access to data stored in multiple databases simultaneously without the need to move, copy, or reformat the data. This approach not only facilitates faster and easier access to data but also reduces costs and minimizes the risk of errors associated with data movement or transformation. Comparing Traditional Methods with Zero Copy Integration: Traditional Methods: Zero Copy Integration: How It Works: From CDP to Data Warehouse In this scenario, data is accessed from the CDP and shared with the data warehouse, a process known as data sharing. The steps typically involve: How It Works: From Data Warehouse to CDP Conversely, in this scenario, data is accessed from the data warehouse and integrated into the CDP, a process referred to as data federation. The steps typically involve: Real-World Application: How Buyers Edge Utilizes Zero Copy Technology Buyers Edge, a leading procurement optimization company in the food service industry, leverages zero copy technology to access purchase data stored in a data warehouse while building a unified customer profile in a CDP. This allows them to provide better customer insights to their sales and marketing teams. By eliminating the need for data movement, duplication, or reformatting, zero copy technology streamlines data access, harmonizes data for insights and analytics, and provides a real-time holistic view of customers. As data volumes continue to grow exponentially, technologies like zero copy integration will play a crucial role in simplifying data management and facilitating seamless access to valuable insights. Whether it’s optimizing business processes or enhancing customer experiences, zero copy integration empowers organizations to navigate the data landscape with agility and efficiency. Be a zero copy hero and unlock the full potential of your data management strategy. “In today’s digital landscape, companies struggle with islands of data spread across various systems. With this global ecosystem of partners, companies can access all of their data, no matter where it resides, and unlock the power of all of that data within Salesforce — creating more personalized customer interactions and establishing a foundation for trusted AI, in less time and at lower cost.” Brian Millham, President and Chief Operating Officer at Salesforce The Zero Copy Partner Network features initial partners Amazon Web Services (AWS), Databricks, Google Cloud, and Snowflake, and adds Microsoft, all committed to zero copy integrations with Salesforce that give customers a secure and cost-effective way to connect and take action on all of their data New zero copy support for data warehouses and data lakehouses built on open table formats, like Apache Iceberg, with Salesforce Data Cloud, removes the need to copy or move data, so customers can unlock their data, powering Customer 360 experiences with AI, automation, and analytics The network includes Salesforce ISV partners, building new Zero Copy Data Kits to bring valuable new datasets to Salesforce Data Cloud, and Salesforce SI partners including Accenture, Cognizant, Deloitte Digital, and PwC, helping customers with zero copy Salesforce Data Cloud implementations. 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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AI Data Foundation

AI Data Foundation

In the era of AI, the Data Foundation is crucial for empowering AI-driven customer experiences. Data Cloud emerges as a unifying force, seamlessly integrating data to fuel transformative AI encounters and elevate customer-centricity. Beyond mere data management, Data Cloud represents a significant advancement, enabling profound insights by harmonizing diverse data sources with CRM data from the Salesforce platform. This convergence facilitates the unlocking of actionable insights critical for informed decision-making. In a strategic collaboration, Salesforce and AWS extend their partnership to enhance AI capabilities. AWS AI services are integrated into Salesforce’s Einstein Trust Layer, empowering Data Cloud with seamless access to AWS data services and compute resources. Additionally, Data Cloud and other Salesforce offerings are now accessible through the AWS Marketplace, streamlining procurement processes. This insight explores how Data Cloud unifies vast and varied business data with CRM data from the Salesforce Einstein Platform. It serves as a robust foundation for AI-powered customer experiences, providing businesses with unprecedented insights into their data universe. With Data Cloud, businesses can seamlessly combine CRM data with diverse sources, including transactional data, IoT device data, and social media interactions. This consolidation fosters a single source of truth, enhancing decision-making and the relevance of AI models. Unlike traditional approaches that involve laborious data movement, Data Cloud operates on AWS infrastructure, enabling seamless data connectivity and preparation without the need for ETL processes. Leveraging Apache Iceberg and Salesforce’s contributions, Data Cloud ensures data consistency, flexibility, and interoperability, essential for AI-driven insights. Moreover, Data Graphs offer a novel approach to assemble and rapidly access data collections from disparate sources, facilitating grounded AI experiences. Through Model Builder and Einstein Copilot Studio, businesses can seamlessly access Data Cloud data in Amazon SageMaker for custom AI model creation without ETL overheads. This partnership between Salesforce and AWS represents a paradigm shift in data management and AI integration. By combining Salesforce’s customer-centric approach with AWS’s scalable infrastructure, Data Cloud empowers businesses to harness AI as a practical tool for growth and innovation in the digital era. 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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Salesforce Unified Knowledge

Salesforce Unified Knowledge

Salesforce Inc. is introducing a novel feature within its Data Cloud data lake, addressing the growing need for organizations to develop their own artificial intelligence models. This new feature, termed Unified Knowledge, integrates data from various third-party sources into the Data Cloud, facilitating the collection and curation of data crucial for training AI models, particularly for customer service agents. Unified Knowledge enables the importation of unstructured data into the Data Cloud, where it undergoes transformation, tagging, and quality assurance processes. This feature, developed in collaboration with Zoomin, primarily targets the enhancement of Salesforce’s Einstein for Service customer support application. However, its data integration capabilities extend to other Salesforce applications like Sales Cloud, Health Cloud, Financial Services Cloud, and Field Service. The administrative setup process for Unified Knowledge is described as relatively straightforward. Within Salesforce’s knowledge management tool, tagging tools are available, and once content is integrated into the system, much of the content can be automatically processed. Data from external sources such as Microsoft’s SharePoint, Atlassian’s Confluence, Google Drive and YouTube, Amazon Web Services’ S3 storage, Adobe’s Experience Platform, Guru Technologies’ Guru, Zendesk’s customer service platform, and company websites can be utilized to train customer-facing answer bots, streamline employee access to internal information, and facilitate quick searches within company knowledge bases. Unified Knowledge is available in a free beta test for Salesforce customers with Service Cloud Unlimited Edition, Einstein 1 Service Edition, or the Knowledge Add-On. A freemium version of Unified Knowledge will continue to be included with those applications, with Salesforce Lightning Knowledge being a requirement and Classic Knowledge not being supported. In essence, Unified Knowledge aims to consolidate organizational knowledge from disparate third-party systems into Salesforce, thereby improving service agent efficiency, resolving customer cases faster, and enhancing the quality and accuracy of generative AI content. By Tectonic Salesforce Marketing Architect, Shannan Hearne. 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 Unified Knowledge

Salesforce Unified Knowledge

Salesforce Introduces Unified Knowledge: Empowering Service Excellence with Integrated Organizational Insights Salesforce has unveiled Unified Knowledge, a groundbreaking solution designed to integrate organizational knowledge from diverse third-party systems directly into Salesforce. This innovation aims to enhance the efficiency of service agents, enabling them to resolve customer cases more swiftly and effectively. Unified Knowledge, coupled with customer data from Salesforce Data Cloud, leverages this aggregated knowledge to generate precise and personalized AI-driven content. This capability ensures faster and more tailored customer experiences. Why It Matters In today’s service landscape, 79% of organizations are investing in AI to bolster their support capabilities. However, 76% of executives face challenges in scaling AI effectively due to fragmented systems and isolated data sources. Enhancing Service with AI: Einstein for Service Built on the Einstein Trust Layer, Einstein for Service harnesses AI to elevate service team productivity and enhance customer experiences. Historically, this capability has relied on structured and unstructured customer data within Data Cloud. Unified Knowledge: Integrating Comprehensive Data Sources Unified Knowledge enriches AI models by incorporating Salesforce knowledge articles and information from external platforms such as SharePoint, Confluence, Google Drive, and corporate websites. This holistic data foundation empowers Einstein for Service with robust generative AI capabilities, ensuring agents and AI assistants deliver timely and accurate solutions. Strategic Partnership with Zoomin Powered by a strategic collaboration with Zoomin, Unified Knowledge amplifies service capabilities through: Expansion Across Salesforce Ecosystem Unified Knowledge extends beyond Service Cloud to integrate seamlessly with Salesforce Field Service, Sales Cloud, Health Cloud, and Financial Services Cloud, ensuring comprehensive data utilization across various operational domains. Salesforce Perspective “In service, enhanced knowledge and context lead to superior outcomes for both agents and customers. Unified Knowledge complements Data Cloud’s customer insights by integrating external organizational data, facilitating widespread adoption of generative AI and enabling faster, more meaningful customer engagements.” – Kishan Chetan, EVP and GM, Service Cloud Customer Reaction “Unified Knowledge enables us to deliver proactive, predictive, and preventive service to our customers. By unifying our extensive resources through a single system, our agents can swiftly provide solutions, ensuring consistent service delivery and boosting organizational productivity.” – Dharam Rai, VP, Global Customer Success & Experience, Sonos Availability Unified Knowledge is available in open beta today for Salesforce customers using Service Cloud Unlimited Edition, Einstein 1 Service Edition, or the Knowledge Add-On. Knowledge Answers in Bots will be generally available in June 2024, while Einstein Copilot for Mobile Workers and Search Answers are available now. This strategic initiative underscores Salesforce’s commitment to enhancing service excellence through integrated, AI-driven solutions that empower organizations to deliver exceptional customer experiences. 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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