Einstein 1 Platform - gettectonic.com - Page 6
Salesforce Einstein Copilot
18Dec

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 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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December 18, 2023in Einstein 1 Platform, Salesforce Data Cloud
Salesforce Enhances Einstein 1 Platform with New Vector Database and AI Capabilities
14Dec

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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December 14, 2023in Einstein 1 Platform, Salesforce
Salesforce Einstein 1 Platform
22Nov

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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November 22, 2023in Einstein 1 Platform, Salesforce, Salesforce Einstein
Retrieval Augmented Generation in Artificial Intelligence
26Oct

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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October 26, 2023in Einstein 1 Platform, Generative AI, Salesforce, Salesforce Data Cloud
Einstein 1 is Coming
09Oct

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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October 9, 2023in Einstein 1 Platform, Mulesoft, Salesforce, Salesforce Data Cloud, Salesforce Einstein
Einstein 1 Unveiled
03Oct

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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October 3, 2023in Einstein 1 Platform, Einstein Insights, Salesforce
Einstein Advancement
14Sep

Einstein Advancement

Salesforce, the enterprise software giant, announced on Tuesday the latest Einstein advancement in its artificial intelligence (AI) technology, unveiling a new generative AI tool called Einstein Copilot. This tool is set to revolutionize its suite of applications, including popular platforms like Slack and Tableau. What Happened: Einstein Copilot is introduced as a conversational AI assistant, seamlessly integrated within every Salesforce application. This integration aims to enhance user productivity by enabling interactions through natural language queries and providing responses based on proprietary company data. Unlike previous AI copilots, which often operated as separate, non-integrated applications, Einstein Copilot can access data from any Salesforce app, ensuring more accurate AI-powered recommendations and content generation. Einstein Copilot offers a wide range of functionalities, from summarizing video calls to automatically drafting sales emails tailored to individual customer contexts. It assists service teams by providing generative answers to customer concerns and helps marketers craft email content for campaigns. Developers can also benefit from its ability to convert natural language prompts directly into Apex code. Salesforce highlighted that 45% of executives are increasing their AI investments, with some already experiencing benefits, such as a 30% release of employee time. The San Francisco-based company mentioned that Einstein Copilot would leverage a vast pool of data, including customer information, enterprise content, and Slack conversations, to provide reliable and relevant recommendations. These recommendations can aid in tasks such as constructing digital storefronts or providing actionable insights for sales associates. Einstein Advancement This move aligns Salesforce with tech giants like Microsoft Corp and Alphabet Inc, which are capitalizing on the growing demand for generative AI. With previous initiatives such as the Einstein GPT genAI product launch in March and the expansion of its AI venture capital fund to 0 million in June, Salesforce is positioned to redefine the enterprise software landscape with its AI-driven initiatives. 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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September 14, 2023in Einstein 1 Platform, Einstein Insights
Einstein in Salesforce
26Aug

Einstein in Salesforce

Salesforce AI and CRM Evolution Salesforce has long been a leader in customer relationship management (CRM) by pioneering cloud technologies. Recently, the platform has significantly advanced with the integration of generative artificial intelligence (AI) and AI-powered features, thanks to its Einstein technology. Einstein in Salesforce is like a super smart computer overseeing and analyzing the data in your CRM. This guide explores Salesforce’s AI strategy, exploring its specific products and features to help business teams understand and benefit from this technology. Exploring Salesforce’s Advanced AI Features Einstein, Salesforce’s AI technology, powers various advanced features within the platform. This guide will cover these capabilities, provide real-life adoption examples, and discuss their benefits. Additionally, it offers best practices, solutions, and services to facilitate your Einstein implementation. Salesforce’s Comprehensive CRM Solution Salesforce remains a number one in the CRM software world, offering robust solutions for managing relationships across various departments. Specific clouds within Salesforce enable teams to handle marketing, sales, customer service, e-commerce, and more. The platform focuses on customer experience and provides robust data analytics to support decision-making. Enhancements Through Generative AI Salesforce’s generative AI has rapidly enhanced the platform’s automation, workflow management, data analytics, and assistive capabilities for customer management. A prime example is Salesforce Copilot, which aids internal users with outreach and analysis tasks while improving the external user experience. What is Salesforce Einstein? Salesforce Einstein is the first comprehensive AI for CRM, integrating AI technologies to enhance the Customer Success Platform and bring AI to users everywhere. It is seamlessly integrated into many Salesforce products, offering generative AI built specifically for CRM. Key Features of Salesforce Einstein Comprehensive AI Capabilities of Salesforce Einstein Einstein extends its capabilities across the Salesforce CRM platform under the Customer 360 umbrella, enhancing intelligence and providing personalized customer experiences. Key Benefits of Salesforce Einstein Salesforce Einstein helps close deals faster, personalize customer service, understand customer behaviors, target audience segments better, and create personalized shopping experiences. It ensures data protection and privacy through the Einstein Trust Layer, maintaining strong data governance controls. Responsible AI Principles Salesforce is committed to responsible AI principles, ensuring Einstein is trustworthy and safe for every organization. Organizations can select from various principles to ensure ethical AI use in their operations. Implementation of Salesforce Einstein Salesforce Einstein is a powerful AI solution transforming how businesses interact with customers. By leveraging machine learning and data analysis, it personalizes experiences, predicts customer behavior, and automates tasks, boosting sales, enhancing service, and driving growth. As AI evolves, its impact on CRM will continue to grow, making it an indispensable tool for businesses aiming to stay competitive in today’s data-driven landscape. Top 4 Benefits of Salesforce Einstein in an Organization Einstein Essentials Salesforce Einstein and GPT (Generative Pretrained Transformer) technologies represent significant advancements in AI, particularly in CRM and natural language processing. Here’s a brief overview of their relevance and potential intersection: Data Handling and Ethics in Salesforce Salesforce manages a vast amount of customer data, and the ethical handling of this data is crucial. Key considerations include data privacy, secure storage, access controls, compliance with regulations like GDPR and CCPA, and the ethical use of AI and machine learning. It’s important to maintain transparency, avoid biases, and ensure AI models are making ethical decisions. Newest Einstein Features for 2024 In the rapidly evolving ecosystem of Salesforce, AI offers a suite of tools to spark innovation, streamline operations, and provide richer business insights. Explore these potentials and let Einstein AI reshape your work in 2024. Content updated June 2024. 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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August 26, 2023in Einstein 1 Platform, Generative AI, Salesforce Data Cloud, Salesforce Einstein
Salesforce Chat GPT
08Aug

What’s Happening with ChatGPT and Salesforce

ChatGPT and Salesforce The integration of ChatGPT with Salesforce presents an opportunity to streamline organizational processes, resulting in significant time savings. This integration not only enhances CRM data management with generative AI but also takes the customer experience to new heights. Integration Process: To integrate ChatGPT with Salesforce, the typical process involves creating an account on the OpenAI platform and generating an API key. These steps ensure successful integration by providing API access and authentication credentials. It’s crucial to treat the API key with the same security measures as a password to safeguard the integration. Salesforce and OpenAI Collaboration: While Salesforce offers access to AI through its Einstein GPT suite of products, Salesforce Admins and Developers have also begun directly integrating with OpenAI’s APIs and various AppExchange apps. They are incorporating these tools into their offerings to introduce new AI-powered features, enhancing their platforms’ capabilities. Role of ChatGPT and Salesforce Admins: ChatGPT does not aim to replace Salesforce Admins but rather to augment their effectiveness and productivity. Admins with strong analytical and administrative skills can leverage ChatGPT to expedite configuration tasks. However, mastering the collaboration with ChatGPT is essential to enhance the quality of results. Understanding ChatGPT: ChatGPT, developed by OpenAI, represents a breakthrough in AI beyond conventional chatbots. It operates on the OpenAI GPT-3.5 family of large language models, incorporating both supervised and reinforcement learning techniques. Backed by OpenAI, ChatGPT employs natural language processing (NLP) to interact conversationally, mirroring human dialogue. OpenAI, founded in San Francisco, boasts substantial support from industry leaders like Microsoft. OpenAI and GPT-4: OpenAI recently unveiled GPT-4, the latest iteration of its popular ChatGPT model. GPT-4 boasts enhanced capabilities, including image processing and increased word processing capacity. With millions of users since its launch, ChatGPT continues to evolve, offering unparalleled NLP functionality. Top Use Cases for ChatGPT in Salesforce: Explore the potential of ChatGPT and Salesforce with features and scenarios, including natural language processing, chatbots, predictive sales, personalized communication, and analysis of conversational data. Einstein GPT: Salesforce introduces Einstein GPT, the world’s first generative AI for CRM. Einstein GPT enables the generation of tailored content from CRM data, ensuring relevance in every interaction, be it emails, reports, knowledge articles, or code snippets. Community Insights: As the AI landscape, particularly ChatGPT, continues to evolve, it’s essential to understand its implications for the Salesforce ecosystem. The Salesforce community acknowledges the power of ChatGPT as a sophisticated chatbot built on advanced AI technology, poised to revolutionize various Salesforce roles and experiences. What is Salesforce doing with ChatGPT? The integration between ChatGPT and Salesforce can optimize a significant portion of organizational processes, resulting in considerable time savings. This not only enhances CRM data management, now powered by generative AI, but also elevates the customer experience to a new level. Can we integrate ChatGPT with Salesforce? This typically involves creating an account on the OpenAI platform and generating an API key. To set up your API access and authentication credentials for a successful ChatGPT for Salesforce integration, follow the steps below. Treat your API key like a password to protect the security of your integration. Is Salesforce using OpenAI? While Salesforce enables customers to access it via its Einstein GPT suite of products, Salesforce Admins and Developers have also started integrating directly with OpenAI’s APIs and the many AppExchange apps. They are now embedding it into their offerings to deliver new AI-powered features. ChatGPT has shown the world the potential of AI beyond simple chatbots. Join Tectonic on the AI journey and learn about How to use ChatGPT for Salesforce, Its use cases, Integration and how you can implement it in Salesforce. Salesforce’s new marketing message is AI + Data + CRM. It all adds up to customer magic. At the heart of this magic is Generative AI or GPT, not ChatGPT. Of course, AI advancements will mean very different things across the wide variety of Salesforce roles and day-to-day experiences. With more and more “GPT” tools being launched each week, how is the Salesforce community using the Chat variety in their day-to-day roles, and how do they see it evolving over the coming months and years? ChatGPT is nothing more than a chatbot, akin to Einstein bots. However, it’s a powerful one! Built on the OpenAI GPT-3.5 family of large language models and both supervised and reinforcement learning techniques, ChatGPT was trained on a vast amount of internet text with a cutoff in January 2022. It has been optimized for natural language processing tasks such as text generation, question answering, translation, and text classification. The technology behind ChatGPT is advanced and continues to evolve, relying on machine learning and deep learning techniques. 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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August 8, 2023in Einstein 1 Platform, Generative AI, Salesforce Einstein
How Data Cloud Vector Databases Work
27Jul

How Data Cloud Vector Databases Work

How Data Cloud Vector Databases Work 1. Ingest Unstructured Data in Data Cloud With the help of a new, unstructured data pipeline, relevant unstructured data for case deflection, such as product manuals or upgrade eligibility knowledge articles, can be ingested in Data Cloud and stored as unstructured data model objects. 2. Chunk and Transform Data for Use in AI In Data Cloud, teams will then be able to select the data that they want to use in processes like search, chunking this data into small segments before converting it into embeddings – numeric representations of data optimized for use in AI algorithms.  This is done through the Einstein Trust Layer, which securely calls a special type of LLM called an “embedding model” to create the embeddings. It is then indexed for use in search across the Einstein 1 platform alongside structured data. How Data Cloud Vector Databases Work. 3. Store Embeddings in Data Cloud Vector Database In addition to supporting chunking and indexing of data, Data Cloud now natively supports storage of embeddings – a concept called “vector storage”. This frees up time for teams to innovate with AI instead of managing and securing an integration to an external vector database. 4. Analyze and Act on Unstructured Data Use familiar platform tools like Flow, Apex, and Tableau to use unstructured data, such as clustering customer feedback by semantic similarity and creating automations that alert teams when sentiment changes significantly. 5. Deploy AI Search in Einstein Copilot to Deflect Cases With relevant data, such as knowledge articles, securely embedded and stored in Data Cloud’s vector database, this data can also be activated for use in Einstein AI Search within Einstein Copilot. When a customer visits a self-service portal and asks for details on how to return a product, for example, the Einstein Copilot performs semantic search by converting the user query into an embedding, after which it compares that query to the embedded data in Data Cloud, retrieving the most semantically relevant information for use in its answer while citing the sources it pulled from. The end result is AI-powered search capable of understanding the intent behind a question and retrieving not just article links but exact passages that best answer the question, all of which are summarized through a customer’s preferred LLM into a concise, actionable answer – boosting customer satisfaction while deflecting cases. 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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July 27, 2023in Einstein 1 Platform, Salesforce Data Cloud
Data Management for AI
20Jul

Who Are the AI Evangelists?

Who Are the AI Evangelists? What are the responsibilities of an AI evangelist? As a Technology Evangelist, your role entails guiding third-party developers in adopting the most effective strategies for creating innovative AI/ML-driven applications on platforms. You’ll facilitate the adoption of essential tools and frameworks like Core ML, Create ML, Vision, VisionKit, Speech, Natural Language, and others. How do you transition into an AI evangelist? Becoming an internal AI evangelist involves several steps. Firstly, you need to express your interest in AI to your immediate supervisor, emphasizing its significance for the organization. Clearly outline the advantages of AI, such as increased efficiency, data-driven insights, and competitive edge. Through educational efforts and outreach, you’ll encounter employees passionate about ensuring responsible AI creation and usage. With additional training, these individuals can serve as valuable resources, providing guidance in day-to-day discussions or design decisions across the company. Another approach involves integrating ethics reviews into existing AI product evaluations. Conducting these reviews earlier in the development process helps address potential issues proactively, rather than as a last-minute endeavor before launch. This proactive approach minimizes the accumulation of “ethical debt,” which arises when features violate ethical AI principles and require costly adjustments post-release. Implementing formal processes such as consequence scanning workshops, ethics canvases, harms modeling, and community juries, as well as creating documentation like model cards and FactSheets, further enhances ethical considerations throughout the product lifecycle. Who are the pioneers in the AI field? The field of AI owes its development to numerous pioneers whose contributions have been invaluable. Notable figures include Marvin Minsky, John McCarthy, and Alan Turing, whose ideas laid the foundation for today’s AI technologies. Understanding the Voices of AI The emergence of AI has sparked various viewpoints, represented by three distinct camps: evangelists, pessimists, and realists. Evangelists champion AI as a solution to global challenges, while pessimists highlight potential risks and advocate for immediate regulation. Realists acknowledge both the benefits and risks of AI, viewing it as a necessary tool for the future. Navigating the Risks of AI While AI offers significant productivity gains, it also introduces new security risks. For instance, AI-based services may require sharing sensitive data, potentially compromising privacy and intellectual property rights. Additionally, AI-generated code must undergo thorough testing to ensure it is free from malware or unauthorized elements. The surge in AI-driven IoT and generative AI applications further expands the attack surface, necessitating enhanced network security measures. As organizations embrace AI, it’s essential to weigh both its positive and negative impacts. Conducting a comprehensive risk and benefit analysis and establishing clear usage policies are critical steps in leveraging AI effectively. The rise of AI is not merely hype; it represents a transformative force that requires careful consideration to thrive in the modern security landscape. 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 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 Salesforce Data Studio Data Studio Overview Salesforce Data Studio is Salesforce’s premier solution for audience discovery, data acquisition, and data provisioning, offering access 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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July 20, 2023in Einstein 1 Platform, Salesforce Einstein
Revolutionizing Public Sector Efficiency
12May

Revolutionizing Public Sector Efficiency

Salesforce: Transforming and Revolutionizing Public Sector Efficiency Salesforce, known worldwide as the premier CRM solution, continues to innovate with its adaptable features tailored to diverse audiences. It excels in delivering cutting-edge solutions, addressing unique needs across various industries and sectors. Particularly, the public sector stands to gain substantial benefits from Salesforce’s capabilities, offering a suite of solutions poised to optimize operations within any public office setting. Understanding the Role of Salesforce in the Public Sector The public sector encompasses the administrative segment responsible for managing essential citizen concerns at state, local, federal, and governmental agency levels. While carrying out critical tasks, these entities can significantly enhance efficiency with the right tools. Salesforce is dedicated to optimizing and streamlining processes within the public sector, recognizing its vital importance. Government offices face similar expectations to private enterprises, with citizens anticipating service quality on par with commercial experiences. Therefore, public entities must deliver efficiency, agility, and direct engagement to demonstrate proximity to the populace. In response to these expectations, Salesforce has developed a range of solutions tailored to the specific demands of the public sector. Revolutionizing Public Sector Efficiency Salesforce’s offerings for the public sector include meticulously crafted applications designed to meet its unique requirements. These flexible and secure e-government tools aim to revolutionize the sector’s experience, providing a comprehensive view of citizens and enhancing the efficacy of public employees. By simplifying processes and fostering innovation, these solutions drive efficiency at both organizational and individual levels, facilitating smoother operations. Integrated into Public Sector Solutions, these offerings leverage Salesforce’s standard functionalities and Service Cloud capabilities. Additionally, they enable the creation of an Experience Cloud site, allowing citizens seamless access to government services. Known as a Citizen Portal. Some of the available solutions cater to general tasks managed by public sector agencies, including: Thanks to these solutions, citizens can effortlessly navigate various processes, such as applying for licenses or permits. Through an online portal accessible at all times, individuals can interact seamlessly with public service agencies. Intelligent forms dynamically adjust based on user input, simplifying the submission process. From an employee standpoint, work processes are streamlined, with all citizen requests conveniently consolidated in one location. The system offers recommendations to guide employees, simplifies task delegation, and ensures seamless collaboration across departments. Key Advantages of Salesforce Solutions for the Public Sector Salesforce solutions offer numerous advantages to the public sector, aligning with citizens’ and employees’ current demands. These include: Salesforce emerges as an invaluable ally in the public sector’s modernization journey, transforming processes to be more agile and efficient. For organizations seeking to implement Salesforce solutions tailored for the public sector, the Tectonic team stands ready to assist. In the ever-evolving landscape of public administration and government services, the need for advanced, secure, and user-friendly technology solutions has never been more crucial. Enter Salesforce Public Sector Cloud—a dynamic platform designed to transform how government agencies engage with citizens, deliver services, and drive efficiency in their operations. Overview of Salesforce Public Sector Cloud: Salesforce Public Sector Cloud is a specialized offering tailored to meet the unique needs of government entities at all levels. Whether it’s federal, state, or local government agencies, the platform is engineered to enhance collaboration, streamline processes, and ultimately improve the delivery of public services. Key Features and Capabilities: Real-World Impact: Several government agencies have already embraced Salesforce Public Sector Cloud, realizing tangible benefits in their day-to-day operations. From improved citizen satisfaction to streamlined internal processes, the impact of this cloud solution is evident across various use cases. Challenges and Considerations: While Salesforce Public Sector Cloud offers numerous advantages, it’s essential to consider potential challenges. These may include customization complexities, data migration issues, and the need for comprehensive training for government personnel. A thoughtful and well-executed implementation strategy is crucial to overcoming these challenges. Salesforce Introduces Public Sector Einstein 1 for Service: Salesforce today announced Public Sector Einstein 1 for Service, including CRM, trusted AI, and data capabilities. What’s new in compliance: Salesforce also now offers several Federal Risk and Authorization Management Program (FedRAMP) compliant tools to help government agencies drive efficiency and productivity while meeting regulatory requirements. These tools include:  Content updated April 2024. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more 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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May 12, 2023in Einstein 1 Platform, Public Sector Solutions, Salesforce, Salesforce Einstein, Salesforce Experience Cloud, Salesforce Government Cloud, Salesforce Public Sector Solutions, Salesforce Slack
Sales Cloud Einstein
01May

Einstein Activity Capture

Einstein Activity Capture is a productivity-boosting tool that helps keep data between Salesforce and your email and calendar applications up to date. Note: Starting in late 2023, existing EAC services and data are migrating to Hyperforce. What is the difference between Salesforce Inbox and EAC? Salesforce Inbox excels in providing a unified email and calendar management interface, while EAC automates activity tracking and delivers AI-driven insights. Assess your specific sales requirements, budget, and preferences to determine which solution aligns best with your needs. What is the difference between lightning sync and Einstein activity capture? EAC has the same functionality as Lightning Sync, but it also automatically logs emails (both incoming and outgoing) in addition to events. EAC works in the background as well, so no user intervention is required. Does Einstein activity capture automatically log emails? Einstein Activity Capture (EAC) is part of the Sales Cloud family. It uses the power of AI to automatically log events and emails against their respective Salesforce records and can also sync Contacts from Gmail or Outlook. Why use Einstein activity capture? EAC is a productivity-boosting tool that helps keep data between Salesforce and your email and calendar applications up to date. How long does EAC store emails? The default is 24 months. The amount can range from 3 months to 5 years. How do I delete emails from EAC? To delete activity by email address: Does EAC sync contacts? EAC can sync up to 50,000 contacts per user. An additional non-syncing contact is picked up for sync only when one of the 50,000 stops syncing. What is the difference between EAC and Gmail integration? The main difference between these two is that Salesforce Gmail integration and Salesforce Inbox are both designed to providing users with Salesforce data and functionality within their email interface, while EAC focuses on automating data entry. What is the limit of Einstein activity capture? If you have only standard EAC users, a maximum of 6 months of captured activity data is stored and displayed on the activity timeline. Like1 Related Posts 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 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 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

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May 1, 2023in Einstein 1 Platform, Salesforce Sales Cloud, Salesforce Service Cloud
Salesforce Shield Data Monitoring and Encryption
07Oct

Salesforce Shield

Safeguarding your most sensitive data and proactively addressing evolving compliance and industry regulations through the implementation of Salesforce Shield can result in significant cost savings, as highlighted in Salesforce’s 2022 Top Data Security Trends report. Safeguarding with Salesforce Shield. Salesforce Shield was originally launched in 2015. Shield for Encryption Salesforce Shield allows you to encrypt your Salesforce data with AES 256-bit encryption at the field-level, as well as manage your own encryption keys. The Tectonic team is thrilled to introduce Salesforce Shield—an advanced encryption solution that ensures trusted data monitoring and expedites the security of cloud applications. Safeguarding with Salesforce Shield Salesforce Shield can help you protect your apps. Salesforce Shield is basically a set of security solutions that allows you to incorporate additional layers of trust, compliance, and governance into your mission-critical apps. Shield Platform Encryption, Event Monitoring, and Field Audit Trail are all included. Shield Platform Encryption also supports person accounts, cases, search, approval processes, and other key Salesforce features. Classic encryption lets you protect only a special type of custom text field, which you create for that purpose. Shield, a comprehensive suite of capabilities, offers an enhanced level of security beyond Salesforce’s default settings. With Salesforce Shield, you can confidently protect sensitive data within your Salesforce environment and maintain that security over time. Salesforce Shield provides protection in four key ways: Blocks Unauthorized or Unlawful Activity: Finds and Classifies Sensitive Data Quickly: Adds Additional Security to Sensitive Data: Meets Compliance and Industry Regulations: Working closely with your company, Tectonic will tailor the configuration of Salesforce Shield to align with your specific requirements. Salesforce Shield’s capabilities span across all Salesforce “cloud” products, offering comprehensive data risk reduction across critical business areas. It provides additional security features beyond standard Salesforce, which is especially valuable for customers dealing with sensitive data or operating in highly regulated industries. Unlike whole disk encryption, Salesforce Shield operates at the field level and for files and attachments. It extends field history tracking, supporting up to 60 fields per object, compared to the standard 20 fields per object. Event Monitoring Analytics, a component of Salesforce Shield, offers reporting on event monitoring through a pre-built dashboard. Events are logged and displayed, allowing users to monitor trends, analyze user behavior, and ensure data security. Salesforce Shield employs Einstein Data Detect, an automated scanning tool, to identify sensitive data based on predefined patterns, including credit card numbers, emails, social security numbers, URLs, and IP addresses. This tool works seamlessly with platform encryption, indicating which data needs encryption at rest. Ask Tectonic For those seeking more information on Salesforce Shield, feel free to reach out to your Tectonic team, Salesforce AE, or consult Salesforce’s guide to Salesforce Shield Implementation. Does using Salesforce Shield make an organization automatically HIPAA compliant? No, while Salesforce Shield provides additional security features, customers must still configure it correctly and use it with other security measures to meet their HIPAA obligations. Which user permissions does Shield platform encryption require? “While many companies are leveraging the cloud to build apps at the speed of business, those in regulated industries have struggled to take full advantage of the cloud due to regulatory and compliance constraints,” said Tod Nielsen, executive vice president of Salesforce1 Platform, Salesforce. “With Salesforce Shield, we are liberating these IT leaders and developers, and empowering them to quickly build the cloud apps their businesses need, with the trust Salesforce is known for.” Salesforce Shield, in collaboration with Tectonic, fortifies your enterprise and Salesforce org by safeguarding sensitive data. Tectonic conducts a data classification exercise to identify fields requiring encryption based on regulatory, security, privacy, and compliance requirements. Isn’t it time your business and data benefited from the protection of Salesforce Shield? 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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October 7, 2022in Einstein 1 Platform, Salesforce, Salesforce Implementation Services, Salesforce Shield

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