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Salesforce to Power Loyalty and Personalization for IHG

Salesforce to Power Loyalty and Personalization for IHG

IHG Hotels & Resorts has teamed up with Salesforce to elevate guest loyalty and meet the evolving expectations of customers. Through its One Rewards program, IHG aims to foster guest loyalty by enhancing efficiency and delivering personalized experiences across its expansive network of over 6,000 hotels spanning 19 IHG brands. Salesforce to Power Loyalty and Personalization for IHG Research indicates that 65% of consumers express a preference for brands that prioritize personalized experiences. In response to these consumer preferences, IHG is embarking on a journey to standardize its CRM infrastructure using the Einstein 1 Platform. This platform seamlessly integrates CRM and data to create comprehensive customer profiles and tailor guest experiences, thereby driving loyalty. Leveraging generative AI, Salesforce and its technology partners are also assisting IHG in guest management endeavors. Heather Balsley, Global Chief Commercial & Marketing Officer at IHG Hotels & Resorts, emphasized, “As we strive to enhance the IHG One Rewards loyalty program, our foremost goal is to provide guests with booking and stay experiences that are customized to their unique travel requirements. Our partnership with Salesforce will empower us to further refine the technology, tools, teams, and solutions underpinning our loyalty program, enabling us to offer personalized content and services that forge deeper connections with our most valued guests.” Salesforce to Power Loyalty and Personalization for IHG By harnessing the capabilities of Service Cloud, IHG gains a comprehensive 360-degree view of guests, enabling prompt and accurate resolution of guest inquiries and thereby elevating overall guest satisfaction. Additionally, IHG’s adoption of Marketing Cloud facilitates targeted customer engagement through preferred communication channels, including email, SMS, and push notifications. IHG One Rewards members exhibit a strong inclination to book directly through IHG websites and its One Rewards mobile app, demonstrating a significant increase in spending compared to non-members. Through the predictive AI technology offered by the Einstein 1 Platform, IHG aims to expand its loyalty membership base and further enhance guest engagement. For more information about the Einstein 1 Platform, visit: Salesforce – Einstein 1 Platform 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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beyond inc leverages salesforce

Salesforce Takes Beyond Inc Beyond Personalized Shopping Experiences

Beyond, Inc., the parent company of renowned e-commerce brands such as Bed Bath and Beyond, Overstock, and Zulily, has unveiled an expanded commitment to leveraging Salesforce’s cutting-edge data and marketing solutions. Beyond Inc leverages Salesforce is to foster customer loyalty and deliver deeply personalized shopping experiences across all its brand portfolios. Beyond will now utilize Salesforce Data Cloud, powered by the Einstein 1 Platform, to unify customer data across multiple brands and enterprise data systems. This unified data will provide invaluable insights into customer behavior, preferences, and engagement patterns across Beyond’s diverse brand ecosystem. Marcus Lemonis, Executive Chairman of the Beyond, Inc. Board of Directors, underscored the company’s commitment to revolutionizing its approach to customer data management, emphasizing the importance of adopting a profit-oriented mindset and investing in customers who demonstrate a propensity for repeat purchases and loyalty. Lemonis previously implemented Salesforce solutions at Camping World Holdings. Lemonis is also the host of CNBC’s The Profit. Beyond Inc Leverages Salesforce Carlisha Robinson, Chief Customer Officer at Beyond, hailed the collaboration with Salesforce as a pivotal moment ushering in a new era of growth for the company. She emphasized the pivotal role of digital technologies in driving Beyond’s growth agenda, highlighting the company’s strategic utilization of the Einstein 1 Platform to unlock the full potential of AI and data-driven insights. Through this expanded collaboration, Beyond aims to execute personalized journeys using Salesforce Marketing Cloud, thereby increasing customer loyalty and spend across its brands. Ariel Kelman, Chief Marketing Officer at Salesforce, lauded Beyond’s adoption of Salesforce’s AI, Data Cloud, and integration technologies as instrumental in fostering deeply engaging and personalized interactions with customers. Kelman emphasized that providing personalized experiences is paramount in today’s customer-connected world, and Beyond’s initiatives will help drive revenue growth and enhance customer relationships in a whole new way. 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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Public Sector Einstein 1 for Service

Public Sector Einstein 1 for Service

Salesforce, a prominent provider of cloud-based software solutions, has unveiled the introduction of Public Sector Einstein 1 for Service, a specialized software platform tailored explicitly for government employees. Salesforce is targeting governmental customer service improvements with the launch of the Public Sector Einstein 1 for Service. This latest offering, built on Salesforce’s Einstein 1 platform, integrates a variety of artificial intelligence-driven capabilities aimed at streamlining administrative tasks within the public sector. Public Sector Einstein 1 for Service.  Built on Salesforce’s Einstein 1 platform, the offering is designed to leverage data and automation to improve worker efficiency, reduce or eliminate repetitive tasks, and improve the ability of workers to interact with systems, data, and the people they serve.  Public Sector Einstein 1 for Service presents a suite of AI-powered features crafted to enhance efficiency and productivity for government entities. These encompass Caseworker Narrative Generation, utilizing generative AI to synthesize data summaries; Service Cloud Voice, enabling real-time transcription of conversations; and Einstein Activity Capture for Public Sector, facilitating documentation of case interactions through natural language processing. Additionally, the platform incorporates Data Cloud for Public Sector and Interaction Notes for Public Sector, providing comprehensive note-taking functionalities. Salesforce’s Executive Vice President and General Manager for the Public Sector, Nasi Jazayeri, underscored the significance of harnessing trusted AI to enhance operational effectiveness, data management, and service delivery for government agencies, empowering employees to better serve constituents. Having previously provided tools for other FEDramp-compliant products – including Field Service and Security Center – Salesforce’s newest solution utilizes trusted conversational and generative AI (GenAI) to improve agent efficiency. The solution also promises public sector organizations the ability to swiftly generate case reports, record real-time call transcriptions, and document and format case interactions—all through a single unified solution. Another key aspect of the tool is the inclusion of Salesforce’s Data Cloud system, which allows users to consolidate data from various sources – including benefits, education, and healthcare – into a standardized data model. Public Sector Einstein 1 for Service also includes Data Cloud, which is designed to capture, connect, and harmonize an organization’s entire corpus of data into a common data model. This can be used to create unified constituent profiles that serve as a single source of truth for the organization, enabling the organization to personalize outreach and interactions. A new feature being offered is Interaction Notes for Public Sector, which allows caseworkers to take detailed notes of their meetings and conversations with constituents or other case participants, specify the confidentiality level of the notes, add action items or next steps, and then search for and filter summaries to find notes from previous interactions, all in one place. This feature takes a common practice deployed at many public sector agencies and helps to organize information that can often be lost when managed through manual processes. Of course this also brings in the Salesforce Vector Database. In doing so, public service organizations are able to create specific profiles for their constituents and personalize their customer service offerings accordingly. If you have contemplated adding Salesforce Nonprofit Cloud, check out this new offering from Tectonic – Salesforce Imploementation Solutions. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Einstein Trust Layer explained

Einstein Trust Layer Explained

The Einstein Trust Layer, seamlessly integrated into the Salesforce Platform, serves as a secure AI architecture designed to meet enterprise security standards. This foundational layer prioritizes stringent security measures, allowing teams to harness the power of generative AI without compromising customer data. Simultaneously, it empowers companies to make the most of their trusted data, thereby enhancing the precision of generative AI responses. Key features of the Einstein Trust Layer include: Integrated and Grounded: An inherent component of every Einstein Copilot, the Trust Layer ensures that generative prompts are firmly rooted and enriched in trusted company data. Its integration with Salesforce Data Cloud establishes a seamless connection, reinforcing the reliability and relevance of generative responses. Zero-Data Retention and PII Protection: Companies can trust that their data will never be retained by third-party Large Language Model (LLM) providers. The Trust Layer incorporates masking techniques for personally identifiable information (PII), ensuring an added layer of data privacy. Toxicity Awareness and Compliance-Ready AI Monitoring: A dedicated safety-detector LLM within the Trust Layer acts as a guard against toxicity, assessing risks to brand reputation by scoring AI generations. This scoring mechanism instills confidence in the safety of responses. Moreover, each AI interaction is meticulously recorded in a secure, monitored audit trail, providing companies with visibility and control over how their data is utilized and ensuring compliance readiness. In alignment with Microsoft’s introduction of Copilot solutions powered by generative AI, Salesforce is leveraging the capabilities of Large Language Models (LLMs) to empower professionals in sales, marketing, and customer service. Building on Salesforce’s existing suite of Einstein AI features, the company unveiled “Einstein 1” this year—a next-generation suite of tools empowering users to seamlessly integrate AI into their everyday workflows. At the core of this advancement is the Einstein Copilot solution, complemented by the new Copilot studio and the Einstein Trust Layer. Like2 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Einstein Predicted Email Engagement

Salesforce Einstein Predicted Email Engagement

Access Einstein predicted email engagement data is on the email dashboard, categorizing contacts into personas based on engagement thresholds. Utilize detail pages to dig into prediction specifics and assess your audience health. Einstein Engagement Scoring is a feature that anticipates how a contact will engage with a brand and the likelihood of them making a purchase. This analysis relies on the contact’s email engagement data from the past 90 days, encompassing metrics like the number of emails sent, clicks, opens, etc. Einstein Predictive Email Engagement Scoring Einstein Predictive Email, specifically the Engagement Scoring aspect, foresees consumer engagement with email and MobilePush messaging. Leveraging customer data and machine learning, it creates predictive model. By assigning scores to contacts it indicates their likelihood to engage with emails and interact with push notifications. Salesforce Marketing Cloud introduces the Einstein Split activity in Journey Builder. Thus enabling marketers to target segments based on predicted email engagement scores. Different decision splits, such as Persona Split, Web Conversion Likelihood Split, Click Likelihood Split, Subscription Likelihood Split, and Open Likelihood Split, allow precise targeting based on various engagement factors. Email Engagement The email engagement heat map classifies subscribers into personas based on predicted email engagement: The clickTime Comparison feature illustrates changes in subscriber personas over time, providing insights into messaging resonance. For instance, an increase of 10,000 subscribers may show a 5,000 increase in the Loyalist bucket, with 70% transitioning from the Selective Subscriber persona. To utilize Einstein Engagement Scoring for Persona changes over time, a minimum of 14 days of active subscriber evaluation in each business unit is required. Einstein Engagement Scoring Einstein Engagement Scoring utilizes existing customer data and machine learning capabilities in Marketing Cloud to predict the probability of a contact engaging with marketing content. This is including emails and push messages. The generated scores indicate the likelihood of the contact opening or clicking emails and engaging with push notifications. Like2 Related Posts 50 Advantages of Salesforce Sales Cloud According to the Salesforce 2017 State of Service report, 85% of executives with service oversight identify customer service as a Read more Salesforce Artificial Intelligence Is artificial intelligence integrated into Salesforce? Salesforce Einstein stands as an intelligent layer embedded within the Lightning Platform, bringing robust Read more Salesforce’s Quest for AI for the Masses The software engine, Optimus Prime (not to be confused with the Autobot leader), originated in a basement beneath a West Read more How Travel Companies Are Using Big Data and Analytics In today’s hyper-competitive business world, travel and hospitality consumers have more choices than ever before. With hundreds of hotel chains Read more

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Jan '24 Einstein Data Cloud Updates

January ’24 Einstein Data Cloud Updates

Utilize Generative AI to Target Audiences Effectively Harness the power of generative AI with Einstein Segment Creation in Data Cloud to create precise audience segments. Describe your target audience, and Einstein Segment Creation swiftly produces a segment using trusted customer data available in Data Cloud. This segment can be easily edited and fine-tuned as necessary. Jan ’24 Einstein Data Cloud Updates. Where: This enhancement is applicable to Data Cloud in Developer, Enterprise, Performance, and Unlimited editions. Einstein generative AI is accessible in Lightning Experience. When: This functionality is rolling out gradually, starting in Spring ’24. How: In Data Cloud, create a new segment and choose Einstein Segment Creation. In the Einstein panel, input a description of your segment using simple text, review the draft, and make adjustments as needed. Gain Insights into Segment Performance with Segment Intelligence Analyze segment data efficiently with Segment Intelligence, an in-platform intelligence tool for Data Cloud for Marketing. Offering a straightforward setup process, out-of-the-box data connectors, and pre-built visualizations, Segment Intelligence aids in optimizing segments and activations across various channels, including Marketing Cloud Engagement, Google Ads, Meta Ads, and Commerce Cloud. Where: This update applies to Data Cloud in Developer, Enterprise, Performance, and Unlimited editions. Utilizing Segment Intelligence requires a Data Cloud Starter license. When: For details regarding timing and eligibility, contact your Salesforce account executive. How: To configure Segment Intelligence, navigate to Salesforce Setup. To view Segment Intelligence dashboards, go to Data Cloud and select the Segment Intelligence tab. Activate Audiences on Google DV360 and LinkedIn Effortlessly activate audiences on Google DV360 and LinkedIn as native activation destinations in Data Cloud. Directly use segments for targeted advertising campaigns and insights reporting. Where: This change is applicable to Data Cloud in Developer, Enterprise, Performance, and Unlimited editions. Requires an Ad Audiences license. When: This functionality is available starting in March 2024. Enhance Identity Resolution with More Frequent Ruleset Processing Experience more timely ruleset processing as rulesets now run automatically whenever your data changes. This improvement eliminates the need to wait for a daily ruleset run, ensuring efficient and cost-effective processing. Where: This update applies to Data Cloud in Developer, Enterprise, Performance, and Unlimited editions. Refine Identity Resolution Match Rules with Fuzzy Matching Extend the use of fuzzy matching to more fields, allowing fuzzy matching on any text field in your identity resolution match rules. Up to two fuzzy match fields, other than first name, can be used in a match rule, with a total of six fuzzy match fields in any ruleset. Enhance match rules by updating to the “Fuzzy Precision – High” method for fields like last name, city, and account. Where: This enhancement applies to Data Cloud in Developer, Enterprise, Performance, and Unlimited editions. Salesforce Einstein’s AI Capabilities Salesforce Einstein stands out as a comprehensive AI solution for CRM. Notable features include being data-ready, eliminating the need for data preparation or model management. Simply input data into Salesforce, and Einstein seamlessly operates. Additionally, Salesforce introduces the Data Cloud, formerly known as Genie, as a significant AI-powered product. This platform, combining Data Cloud and AI in Einstein 1, empowers users to manage unstructured data efficiently. The introduction of the Data Cloud Vector Database allows for the storage and retrieval of unstructured data, enabling Einstein Copilot to search and interpret vast amounts of information. Salesforce also unveils Einstein Copilot Search, currently in closed beta, enhancing AI search capabilities to respond to complex queries from users. Jan ’24 Einstein Data Cloud Updates This groundbreaking offering addresses the challenge of managing unstructured data, a substantial portion of business data, and complements it with the capability to use familiar automation tools such as Flow and Apex to monitor and trigger workflows based on changes in this data. Overall, Salesforce aims to revolutionize how organizations handle unstructured data with these innovative additions to the Data Cloud. Like2 Related Posts Salesforce Artificial Intelligence Is artificial intelligence integrated into Salesforce? Salesforce Einstein stands as an intelligent layer embedded within the Lightning Platform, bringing robust Read more CRM Cloud Salesforce What is a CRM Cloud Salesforce? Salesforce Service Cloud is a customer relationship management (CRM) platform for Salesforce clients to Read more Salesforce’s Quest for AI for the Masses The software engine, Optimus Prime (not to be confused with the Autobot leader), originated in a basement beneath a West Read more How Travel Companies Are Using Big Data and Analytics In today’s hyper-competitive business world, travel and hospitality consumers have more choices than ever before. With hundreds of hotel chains Read more

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Salesforce Einstein Copilot

What’s Included in Einstein Copilot Studio?

Christmas came early this year with Salesforce’s announcement of Einstein Copilot Studio. Einstein Copilot Studio will encompass the following features: By Tectonic’s Salesforce Marketing Consultant, Shannan Hearne 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 Einstein Copilot

Introducing Salesforce Einstein Copilot

Einstein Copilot introduces a cutting-edge generative A. Powered by a conversational assistant seamlessly embedded within every Salesforce application. Its strategically enhancing workflow and yielding substantial gains in productivity. Announced at Dreamforce 2023, in case you missed it, read on. The newly integrated Einstein 1 Data Cloud, part of the Einstein 1 Platform, allows customers to establish a unified customer profile. By connecting any data source. This integration infuses AI, automation, and analytics into every customer experience, fostering a comprehensive approach. Salesforce Einstein Copilot Studio Einstein Copilot Studio provides organizations with the flexibility to tailor Einstein Copilot. A Salesforce tool used according to specific business requirements. It incorporates the Einstein Trust Layer, ensuring the protection of sensitive data while leveraging trusted information to enhance generative AI responses. Unlike other generative AI copilot solutions, Einstein Copilot is natively integrated into the world’s leading AI CRM – Salesforce. Seamlessly tapping into data from various Salesforce applications. This integration ensures more accurate AI-powered recommendations and content generation. Data Cloud The Data Cloud serves as the foundation for Einstein Copilot. Data Cloud offers real-time, consolidated views of customers or entities. With Data Cloud, creating a data graph is simplified, enabling the generation of AI-powered apps with a single click, eliminating the need for manual data queries or joins. Einstein Trust Layer The Einstein Trust Layer, an integral part of the Einstein 1 Platform, ensures the secure retrieval of relevant data from Data Cloud. Before sending it to the Language Model (LLM), proprietary, sensitive, or confidential information is masked, maintaining a high level of data security and compliance. Copilot for Sales aligns with existing CRM access controls and user permissions. Salesforce requires ensuring administrators and users have the necessary permissions for customization and data management within Copilot for Sales. Salesforce Copilot service functions similarly to other generative AI tools in the customer experience landscape, responding to customer queries automatically with personalized answers grounded in company data. Einstein Copilot & Search, anticipated for availability from February 2024, is set to leverage Data Cloud unstructured support. It will be ushering in a new era where Generative AI-based apps redefine the user interface. Thereby allowing seamless interactions and conversations with applications. This transformative shift signifies a significant milestone in Enterprise Software, with Salesforce actively participating in this evolving landscape. Copilot for Sales How is Copilot for Sales different from Copilot for Microsoft 365? Microsoft Copilot for Sales is an AI assistant designed for sellers that brings together the capabilities of Copilot for Microsoft 365 with seller-specific insights and workflows. What Salesforce just did is drop the GPT name and go with Copilot, By endorsing the Microsoft branding it announced earlier this year with Microsoft Copilot for Microsoft 365 and CoPilot for Dynamics 365. 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 Enhances Einstein 1 Platform with New Vector Database and AI Capabilities

Salesforce Enhances Einstein 1 Platform with New Vector Database and AI Capabilities

Salesforce (NYSE: CRM) has announced major updates to its Einstein 1 Platform, introducing the Data Cloud Vector Database and Einstein Copilot Search. These new features aim to power AI, analytics, and automation by integrating business data with large language models (LLMs) across the Einstein 1 Platform. Salesforce Enhances Einstein 1 Platform with New Vector Database and AI Capabilities. Unifying Business Data for Enhanced AI The Data Cloud Vector Database will unify all business data, including unstructured data like PDFs, emails, and transcripts, with CRM data. This will enable accurate and relevant AI prompts and Einstein Copilot, eliminating the need for expensive and complex fine-tuning of LLMs. Built into the Einstein 1 Platform, the Data Cloud Vector Database allows all business applications to harness unstructured data through workflows, analytics, and automation. This enhances decision-making and customer insights across Salesforce CRM applications. Introducing Einstein Copilot Search Einstein Copilot Search will provide advanced AI search capabilities, delivering precise answers from the Data Cloud in a conversational AI experience. This feature aims to boost productivity for all business users by interpreting and responding to complex queries with real-time data from various sources. Key Features and Benefits Salesforce Enhances Einstein 1 Platform with New Vector Database and AI Capabilities Data Cloud Vector Database Einstein Copilot Search Addressing the Data Challenge With 90% of enterprise data existing in unstructured formats, accessing and leveraging this data for business applications and AI models has been challenging. As Forrester predicts, the volume of unstructured data managed by enterprises will double by 2024. Salesforce’s new capabilities address this by enabling businesses to effectively harness their data, driving AI innovation and improved customer experiences. Salesforce’s Vision Rahul Auradkar, EVP and GM of Unified Data Services & Einstein, stated, “The Data Cloud Vector Database transforms all business data into valuable insights. This advancement, coupled with the power of LLMs, fosters a data-driven ecosystem where AI, CRM, automation, Einstein Copilot, and analytics turn data into actionable intelligence and drive innovation.” Practical Applications Customer Success Story Shohreh Abedi, EVP at AAA – The Auto Club Group, highlighted the impact: “With Salesforce automation and AI, we’ve reduced response time for roadside events by 10% and manual service cases by 30%. Salesforce AI helps us deliver faster support and increased productivity.” Availability Salesforce Enhances Einstein 1 Platform with New Vector Database and AI Capabilities Salesforce’s new Data Cloud Vector Database and Einstein Copilot Search promise to revolutionize how businesses utilize their data, driving AI-powered innovation and improved customer experiences. Salesforce Enhances Einstein 1 Platform with New Vector Database and AI 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 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 Einstein 1 Platform

Salesforce Einstein 1 Platform

Salesforce unveils the groundbreaking Einstein 1 Platform, a transformative force in enterprise AI designed to enhance productivity and cultivate trusted customer experiences by seamlessly integrating data, AI, and CRM. This advanced platform meets the demands of a new AI era, adeptly managing extensive disconnected data, offering flexibility in AI model selection, and seamlessly integrating with workflow processes while prioritizing customer trust. Salesforce Einstein 1 Platform is a game changer from Salesforce. What is the Salesforce Einstein 1 platform? Einstein 1 has a mixture of artificial intelligence tools on the platform, and it kind of mirrors the way the core Salesforce platform is built, standardized and custom. We have out of the box AI features such as sales email generation in Sales Cloud, and service replies in Service Cloud. The Einstein 1 Platform consolidates data, AI, CRM, development, and security into a unified, comprehensive platform, empowering IT professionals, administrators, and developers with an extensible AI platform for rapid app development and automation. Streamlining change and release management, the DevOps Center allows centralized oversight of project work at every stage of the application lifecycle management process, ensuring secure data testing and AI app deployment. Salesforce customizes security and privacy add-on solutions, including data monitoring and masking, backup implementation, and compliance with evolving privacy and encryption regulations. Grounded in the Einstein 1 Platform, Salesforce AI delivers trusted and customizable experiences by leveraging customer data to create predictive and generative interactions tailored to diverse business needs. What are the Einstein platform products? Commerce Cloud Einstein is a generative AI tool that can be used to provide personalized commerce experiences throughout the entire buyer’s journey. It can be used to generate auto-generated recommendations, content, and communications that are based on real-time data from the Data Cloud. Einstein 1 serves as a comprehensive solution for organizations seeking a unified 360-degree view of their customers, integrating Silverline expertise to maximize AI potential and scalability. The introduction of Einstein 1 Data Cloud addresses data integration challenges, enabling users to connect any data source for a unified customer profile enriched with AI, automation, and analytics. Salesforce Data Cloud unifies and harmonizes customer data, enterprise content, telemetry data, Slack conversations, and other structured and unstructured data to create a single view of the customer. Einstein 1 Data Cloud is natively integrated with the Einstein 1 Platform and allows companies to unlock siloed data and scale in entirely new ways, including: Supporting thousands of metadata-enabled objects per customer, the platform ensures scalability, while re-engineering Marketing Cloud and Commerce Cloud onto the Einstein 1 Platform enables seamless incorporation of massive data volumes. Salesforce offers Data Cloud at no cost for Enterprise Edition or above customers, underscoring its commitment to supporting businesses at various stages of maturity. Einstein Copilot Search and the Data Cloud Vector Database further enhance Einstein 1 capabilities, providing improved AI search and unifying structured and unstructured data for informed workflows and automation. Einstein 1 introduces generative AI-powered conversational assistants, operating within the secure Einstein Trust Layer to enhance productivity while ensuring data privacy. Businesses are encouraged to embrace Einstein 1 as a strategic move toward becoming AI-centric, leveraging its unified data approach to effectively train AI models for informed decision-making. Salesforce’s Einstein 1 Platform introduces the Data Cloud Vector Database, seamlessly unifying structured and unstructured business data to enhance AI prompts and streamline workflows. Generative AI impacts businesses differently, augmenting processes to improve efficiency and productivity across sales, service, and field service teams. Einstein 1 Platform addresses challenges of fragmented customer data, offering a unified view for effective AI model training and decision-making. Salesforce’s continuous evolution ensures businesses have access to cutting-edge AI technologies, positioning Einstein 1 as a crucial tool for staying ahead in the AI-centric landscape. Ready to explore Data Cloud for Einstein 1? Limited access is available for $0, offering businesses an exclusive opportunity to leverage this transformative solution. Salesforce’s Einstein 1 Platform introduces advancements in AI search capabilities and unification of structured and unstructured business data, empowering informed workflows and automation. Einstein GPT expands conversational AI across Marketing and Commerce clouds, with the Data Cloud Vector Database playing a pivotal role in unifying data for Einstein 1 users. Einstein now has a generative AI-powered conversational AI assistant that includes Einstein Copilot and Einstein Copilot Studio. These two capabilities operate within the Einstein Trust Layer – a secure AI architecture built natively into the Einstein 1 Platform that allows you to leverage generative AI while preserving data privacy and security standards. Einstein Copilot is an out-of-the-box conversational AI assistant built into the user experience of every Salesforce application. Einstein Copilot drives productivity by assisting users within their flow of work, enabling them to ask questions in natural language and receive relevant and trustworthy answers grounded in secure proprietary company data from Data Cloud. Data Cloud Vector Database simplifies data integration, enhancing AI prompts without costly updates to specific business models. Data Cloud, integrated with the Einstein Trust Layer, provides secure data access and visualization, enabling businesses to fully harness generative AI. Einstein 1, with Data Cloud, offers a solution for organizations seeking comprehensive customer insights, guided by Silverline expertise for AI maximization. Salesforce’s Einstein 1 Platform securely integrates data, connecting various products to empower customer-centric businesses with AI-driven applications. Data Cloud for Einstein 1 supports AI assistants and enhances customer experiences, driving productivity and reducing operational costs. Einstein 1’s impact is evident in increased productivity and enhanced customer experiences, with ongoing evolution ensuring businesses stay at the forefront of AI technology. Generative AI augments existing processes, particularly in sales, service, and customer support, with Einstein 1 providing tools for streamlined operations. Salesforce’s Einstein 1 Platform introduces AI search enhancements and unified data capabilities, empowering businesses with informed decision-making and automation. Ready to embrace AI-driven productivity? Explore Data Cloud for Einstein 1 and revolutionize your business operations today. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce

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Retrieval Augmented Generation in Artificial Intelligence

RAG – Retrieval Augmented Generation in Artificial Intelligence

Salesforce has introduced advanced capabilities for unstructured data in Data Cloud and Einstein Copilot Search. By leveraging semantic search and prompts in Einstein Copilot, Large Language Models (LLMs) now generate more accurate, up-to-date, and transparent responses, ensuring the security of company data through the Einstein Trust Layer. Retrieval Augmented Generation in Artificial Intelligence has taken Salesforce’s Einstein and Data Cloud to new heights. These features are supported by the AI framework called Retrieval Augmented Generation (RAG), allowing companies to enhance trust and relevance in generative AI using both structured and unstructured proprietary data. RAG Defined: RAG assists companies in retrieving and utilizing their data, regardless of its location, to achieve superior AI outcomes. The RAG pattern coordinates queries and responses between a search engine and an LLM, specifically working on unstructured data such as emails, call transcripts, and knowledge articles. How RAG Works: Salesforce’s Implementation of RAG: RAG begins with Salesforce Data Cloud, expanding to support storage of unstructured data like PDFs and emails. A new unstructured data pipeline enables teams to select and utilize unstructured data across the Einstein 1 Platform. The Data Cloud Vector Database combines structured and unstructured data, facilitating efficient processing. RAG in Action with Einstein Copilot Search: RAG for Enterprise Use: RAG aids in processing internal documents securely. Its four-step process involves ingestion, natural language query, augmentation, and response generation. RAG prevents arbitrary answers, known as “hallucinations,” and ensures relevant, accurate responses. Applications of RAG: RAG offers a pragmatic and effective approach to using LLMs in the enterprise, combining internal or external knowledge bases to create a range of assistants that enhance employee and customer interactions. Retrieval-augmented generation (RAG) is an AI technique for improving the quality of LLM-generated responses by including trusted sources of knowledge, outside of the original training set, to improve the accuracy of the LLM’s output. Implementing RAG in an LLM-based question answering system has benefits: 1) assurance that an LLM has access to the most current, reliable facts, 2) reduce hallucinations rates, and 3) provide source attribution to increase user trust in the output. Retrieval Augmented Generation in Artificial Intelligence Content updated July 2024. Like2 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Einstein 1 is Coming

Einstein 1 is Coming

What Does the New Einstein 1 Data Cloud Mean for Your Organization? Einstein 1 is Coming One of the major announcements at Dreamforce was the exciting intro that Einstein 1 is Coming. The Einstein 1 Data Cloud is now natively integrated with the Einstein 1 Platform. This integration allows users to connect any data, create unified customer profiles, and enhance every customer experience with AI, automation, and analytics. This is a giant step for Salesforce-kind. It can revolutionize the ways businesses engage with their customers. While this announcement is exciting, what does it mean for organizations at different stages of their Salesforce journey? In this insight, we explore the announcement details, considerations for using the Einstein 1 Data Cloud in your company, and how Tectonic can assist in navigating this new offering. What’s New with the Platform? The integration of Salesforce Data Cloud and Einstein AI into the Einstein 1 Platform marks a significant enhancement. The platform integration enables companies to securely connect any data, build AI-powered apps with low code, and deliver superior CRM experiences. It unifies data across the enterprise by mapping it to Salesforce’s underlying metadata framework, regardless of how the data is structured in disparate systems. Regardless of how complex it is. What is Einstein 1 Data Cloud? The Key to Unified Data Salesforce Einstein 1 Data Cloud unifies customer data, enterprise content, telemetry data, Slack conversations, and other structured and unstructured data to create a single view of the customer. This integration unlocks otherwise siloed data and scales operations in new ways: Salesforce has announced that Enterprise Edition and above customers can use Data Cloud at no additional cost. However, organizations should consider their position on the Salesforce maturity curve before implementation. Data Cloud’s capabilities, while extensive, might not fully optimize data for organizations further along in their Salesforce journey without a thorough trial. What is the Einstein Conversational Assistant? An AI-Powered Shift Einstein now includes a generative AI-powered conversational assistant featuring Einstein Copilot and Einstein Copilot Studio. These tools operate within the Einstein Trust Layer, a secure AI architecture native to the Einstein 1 Platform that ensures data privacy and security. Why Should Organizations Consider Einstein 1? Customer data is often fragmented and siloed across disparate systems, preventing a unified view necessary for informed business decision-making. Data unification is essential for data-driven decision making and fully getting the full ROI of AI. AI is a major trend in technology, but effective AI requires comprehensive, aligned data. Without a unified data foundation, AI’s potential is limited. Einstein 1 with Data Cloud provides the solution by consolidating data, enabling the training of AI models to make optimal decisions and recommendations. How Can Tectonic Help You Transition? Tectonic brings extensive Salesforce expertise and industry-specific experience in sectors heavily reliant on data, such as healthcare, financial services, and travel and tourism. These industries face strict data regulations and often have siloed data in legacy systems. Einstein 1 helps organizations achieve a 360-degree view of their customers by unifying data. Tectonic can assist in maximizing AI on the Salesforce platform by building a robust data foundation and providing a roadmap for future scalability. While both Einstein 1 and AI Cloud are Salesforce terms that promise AI-driven capabilities, there are differences to consider. Einstein 1 Platform is a comprehensive suite that includes Data Cloud, AI tools, and automation capabilities. In contrast, AI Cloud is more of an overarching term that might encompass Einstein 1 as part of its suite, focusing on the broader application of AI across Salesforce’s entire range of products and services. Understanding these distinctions is critical in identifying which solution aligns with your organizational needs. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Einstein 1 Unveiled

Einstein 1 Unveiled

Salesforce Unveils Einstein 1: Enhancing Productivity and Fostering Customer Trust through Data, AI, and CRM-Einstein 1 Unveiled In September, Salesforce introduced the Einstein 1 Platform, a groundbreaking advancement that merges the capabilities of Salesforce Data Cloud with Einstein AI. This innovative platform harnesses a trusted metadata framework, enabling companies to effortlessly connect data and build AI-driven applications with minimal coding, thereby revolutionizing CRM experiences. Why it Matters: With customer data scattered across an average of 1,061 applications and limited integration, Salesforce addresses the challenge of fragmented customer data stacks. The metadata framework bridges this gap by offering a unified view of enterprise data, allowing organizations to customize user experiences across low-code platform services like Einstein for AI predictions, Flow for automation, and Lightning for user interfaces. Data Cloud Integration: The Einstein 1 Platform now seamlessly integrates with Data Cloud, a real-time hyperscale data engine processing 30 trillion transactions per month and harmonizing various data sources to create unified customer profiles. This integration unlocks siloed data, facilitating rich customer profiles and enabling new CRM experiences. Scalability and Automation: The platform supports thousands of metadata-enabled objects per customer and can handle up to 20,000 events per second. It enables the integration of massive data volumes from various sources, triggering flows and interactions with enterprise systems, including legacy ones. Analytics Offerings: Salesforce provides a suite of analytics solutions, including Reports and Dashboards, Tableau, CRM Analytics, and Marketing Cloud Reports. The common metadata schema and access model of the Einstein 1 Platform allow these solutions to operate on the same data, delivering comprehensive insights. Free Access to Data Cloud: Customers with Enterprise Edition or above can now access Data Cloud at no cost, empowering them to ingest, harmonize, and explore their data, thereby accelerating their AI journey. Einstein’s Conversational AI Assistant: The next generation of Einstein introduces Einstein Copilot, an out-of-the-box conversational AI assistant embedded in every Salesforce application. Copilot enhances productivity by responding to natural language queries with secure, proprietary company data from Data Cloud. It also proactively suggests actions and options to users. Einstein Copilot Studio: Companies can develop custom AI-powered apps with Einstein Copilot Studio, which facilitates the creation of AI models for various business tasks, making it adaptable for consumer-facing channels and messaging platforms. Einstein Copilot and Einstein Copilot Studio operate within the secure Einstein Trust Layer, ensuring data privacy and security. Salesforce’s Einstein 1 Platform represents a significant milestone in AI-powered CRM, providing companies with a seamless way to leverage AI, streamline processes, and deliver exceptional customer experiences. 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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