AWS Archives - gettectonic.com - Page 7
Prompt Decomposition

Prompt Decomposition

Optimizing Generative AI: Overcoming Adoption Barriers Through Prompt Decomposition Understand and Control Every Element of Your Workload Prompt Decomposition decompose the task into steps that focus on age date and interest allowing for accurate recommendations based on predefined test cases. Challenges in Scaling Generative AI As Generative AI Specialist at AWS, Iweve worked with over 50 customers in the last 18 months, encountering numerous generative AI proof of concepts (PoCs). Many teams struggle to move beyond the PoC stage due to several common challenges: Solution: Prompt Decomposition Prompt decomposition offers a solution to these common issues by breaking down complex prompts into manageable parts. While other techniques exist, prompt decomposition stands out for its ability to address these blockers effectively. Does Prompt Decomposition Really Work? Yes, it does. This technique has proven effective in unlocking scalability for some of AWS’s largest clients across various sectors. In this blog post, I will share code examples for two use cases that illustrate how prompt decomposition can improve accuracy and reduce latency. Each example will demonstrate changes in cost, latency, and accuracy before and after applying prompt decomposition. Example Results What is Prompt Decomposition? Prompt decomposition involves breaking down a complex prompt into smaller, more manageable components. This approach simplifies large tasks into sequential, manageable steps, improving execution efficiency. Example: Summer Camp Recommendation System Consider a system recommending summer camps based on a child’s age, desired camp date, and interests. The process can be decomposed into three steps: Parallel Execution For particularly lengthy prompts, decomposing them into parallel tasks can significantly reduce execution time. For example, a prompt initially taking 43 seconds can be broken into three parallel parts, reducing the total execution time to under 10 seconds without sacrificing accuracy. Conclusion Prompt decomposition is a powerful technique to overcome common challenges in generative AI projects. By breaking down complex tasks, teams can improve accuracy, manage costs and latency, and gain better control and metrics, leading to more scalable and reliable solutions. Ready to Build? For those ready to dive in, full code examples are available in the GitHub repository linked below. The repository includes a Jupyter Notebook (Prompt_Decomposition.ipynb) with two examples: one focused on accuracy and the other on latency. An updated evaluation function for multithreaded calls to Amazon Bedrock is also included. Starting with Evaluation Automated evaluation is crucial for assessing generative AI performance. Begin with a gold standard set of input/output pairs created by humans to serve as a benchmark. Avoid using generative AI to create this set, as it may introduce inaccuracies. The evaluation function compares the correct and generated answers, scoring them similarly to how a teacher would grade student work. Here’s a sample evaluation prompt: pythonCopy codetest_prompt_template_system = “””You are a detail-oriented teacher. You are grading an exam, looking at a correct answer and a student submitted answer. Your goal is to score the student answer based on how close it is to the correct answer. This is a pass/fail test. If the two answers are basically the same, the score should be 100. Minor things like punctuation, capitalization, or spelling should not impact the score. If the two answers are different, then the score should be 0. Please use your score in a ‘score’ XML tag, and any reasoning in a ‘reason’ XML tag. “”” Task-Based Decomposition Example For a summer camp recommendation system, we decompose the task into steps that focus on age, date, and interests, allowing for accurate recommendations based on predefined test cases. Volume-Based Decomposition Use Case To handle long prompts efficiently, such as analyzing an entire novel, we break the task into smaller, parallel parts, significantly improving execution time and accuracy. Prompt Decomposition Creating a flowchart for your task and selecting the best tools for each step can greatly enhance your generative AI workflows. Explore the full code in the GitHub repository, and feel free to comment with questions or share your own experiences. Let’s build something amazing by breaking it down into manageable pieces! 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

Read More
What is GovSlack

What is GovSlack?

GovSlack: Streamlined, Secure Collaboration for Government GovSlack brings together your team, tools, and partners into one secure platform, specifically designed to meet government regulations for processing and storing sensitive data. By integrating GovSlack, organizations can eliminate internal and external communication silos while empowering employees with the flexibility to excel in their roles. What is GovSlack?GovSlack is a tailored version of Slack that allows agencies, contractors, citizens, and partners to collaborate in a centralized, secure workspace. It complies with the strictest security and operational standards required by public sector clients. Is Slack FedRAMP approved?Yes, Slack holds FedRAMP Moderate authorization to meet public sector compliance needs. GovSlack goes further, earning FedRAMP JAB High authorization and is actively pursuing DoD CC SRG IL4 compliance to cater to defense sector clients. Does the federal government use Slack?Security is crucial for public sector agencies and their partners. Federal agencies trust Slack as their secure digital HQ, helping teams from the U.S. Department of Veterans Affairs to the GSA’s 18F office enhance collaboration while meeting stringent data privacy requirements. GovSlack Key FeaturesGovSlack, launched in July 2022 after extensive testing and feedback from government clients, offers several features to ensure secure and compliant collaboration: GovSlack integrates seamlessly with other government-specific tools such as Salesforce Government Cloud Plus, creating a powerful CRM and collaboration ecosystem to accelerate agency goals and improve constituent services. Case Study: Army Software Factory (SWF)The Army SWF, using agile methods to upskill soldiers and develop cutting-edge digital solutions, required a flexible and secure collaboration platform. By adopting GovSlack, they fostered improved collaboration without compromising compliance with stringent DoD policies. Partner IntegrationsLeading companies such as Lockheed Martin and Box are leveraging GovSlack to streamline collaboration while maintaining compliance with federal regulations. For example, Lockheed Martin is using GovSlack to manage projects with government partners while ensuring sensitive data remains protected. ThoughtsGovSlack is built for secure, government-specific collaboration, providing agencies and their partners with the flexibility to work more effectively while meeting compliance needs. By integrating with key tools and offering enhanced security features, GovSlack supports the digital transformation efforts of public sector organizations across the globe. 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

Read More
The Promise of AI in Health Outcomes

The Promise of AI in Health Outcomes

As President Biden has highlighted, artificial intelligence (AI) holds tremendous promise and potential peril. This is especially true in healthcare. On October 30, the President underscored his commitment by signing a landmark Executive Order aimed at governing AI development and use to improve health outcomes for Americans while safeguarding their security and privacy. The Biden-Harris Administration is leveraging every tool at its disposal to advance responsible AI in healthcare. However, U.S. government action alone cannot achieve the bold vision laid out by the President. By integrating AI into their platform, Salesforce aims to empower public health organizations with actionable insights and predictive analytics. From disease surveillance to population health management, AI-driven solutions have the potential to revolutionize how we approach public health initiatives. Therefore, policy priorities include managing and measuring the environmental impacts of AI by requiring emissions disclosures, adding environmental impact as a risk factor, and establishing efficiency standards for high-risk AI systems. In response to the Administration’s leadership, leading healthcare providers and payers have announced voluntary commitments to the safe, secure, and trustworthy use of AI in healthcare. These commitments build on ongoing efforts by the Department of Health and Human Services (HHS), the AI Executive Order, and earlier commitments from 15 leading AI companies to develop models responsibly. Today, 28 providers and payers have joined these commitments, including Allina Health, Bassett Healthcare Network, Boston Children’s Hospital, Curai Health, CVS Health, Devoted Health, Duke Health, Emory Healthcare, Endeavor Health, Fairview Health Systems, Geisinger, Hackensack Meridian, HealthFirst (Florida), Houston Methodist, John Muir Health, Keck Medicine, Main Line Health, Mass General Brigham, Medical University of South Carolina Health, Oscar, OSF HealthCare, Premera Blue Cross, Rush University System for Health, Sanford Health, Tufts Medicine, UC San Diego Health, UC Davis Health, and WellSpan Health. The commitments align with the “FAVES” principles—Fair, Appropriate, Valid, Effective, and Safe. Under these principles, companies commit to informing users when they receive content that is largely AI-generated and not reviewed by humans. They will adhere to a risk management framework to monitor and address potential harms of AI applications. Additionally, they pledge to develop AI solutions responsibly, advancing health equity, expanding access to care, making care affordable, improving care coordination, reducing clinician burnout, and enhancing patient experiences. Healthcare is an essential service, and quality care can be a matter of life and death. AI-enabled tools used for clinical decisions must undergo appropriate testing, risk mitigations, and human oversight to avoid costly or dangerous errors. AI diagnoses can be biased if not trained on diverse data, and AI’s data-collection capabilities could create privacy risks. Addressing these risks is crucial. Despite these risks, AI holds enormous potential to benefit patients, doctors, and hospital staff. AI can help doctors deliver higher-quality, more empathetic care and cut healthcare costs by hundreds of billions of dollars annually. It can also help patients make more informed health choices by better understanding their conditions and needs. Consider some examples: Each year, hospitals produce 3.6 billion medical images worldwide. AI helps doctors analyze images more quickly and effectively, detecting signs of breast cancer, lung nodules, and other conditions earlier than ever before. AI is also streamlining drug development, matching drug targets with new molecules faster and cheaper, translating to better care for patients. Additionally, new generative AI applications can alleviate clinician burnout by automating data extraction, form population, note recording, and patient communications. The Promise of AI in Health Outcomes To understand AI applications and the necessary risk-mitigation measures, the Biden-Harris Administration has engaged with healthcare providers, payers, academia, civil society, and other stakeholders. These engagements have informed the Administration’s approach, including the President’s October AI Executive Order, which tasks HHS with a wide range of actions to advance safe, secure, and trustworthy AI. These actions include developing frameworks, policies, and potential regulations for responsible AI deployment, documenting AI-related safety incidents, prioritizing grants for innovation in underserved communities, and ensuring compliance with nondiscrimination laws in AI deployment in healthcare. The private-sector commitments announced today are a critical step in our whole-of-society effort to advance AI for the health and well-being of Americans. These 28 providers and payers have stepped up, and we hope more will join these commitments in the coming weeks. The Promise of AI in Health Outcomes has been addressed by governments everywhere. In March 2024, Salesforce strengthened its AI commitment to healthcare. Salesforce’s Einstein 1 Platform powers Einstein Copilot with your healthcare organization’s unique data and metadata from Data Cloud to capture and summarize patient details, quickly update patient and member information, and automate manual processes Assessment Generation digitizes paper assessments and surveys to capture and track patient data Customers like Baptist Health South Florida and HarmonyCares are using Salesforce to personalize patient interactions and create a single, unified view of each patient Today, Salesforce announced AI and data innovations for CRM to help make healthcare operations more efficient and personalized. Einstein Copilot: Health Actions, a conversational AI assistant that will deliver trusted AI responses grounded with your healthcare organization’s own trusted and private data, Assessment Generation, and Data Cloud for Health help automate and streamline clinical summaries, deliver more personalized communication, and help compile tailored patient assessments faster for care teams, all from a single platform. These new innovations are powered by Salesforce’s Einstein 1 Platform, which helps organizations safely unlock their data to create better patient experiences and augment employee productivity. Why it matters: Nearly a quarter of U.S. healthcare spending is wasted on administrative costs, presenting a potential cost savings of up to $320 billion for healthcare organizations, according to McKinsey and Co. AI could be the solution, with recent Forrester data revealing that 82% of healthcare data leaders say AI is a top focus area that will drive operational efficiency.  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 Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business

Read More
career

Amazon Salesforce

The world’s leading cloud provider and the #1 CRM platform are making it easier for customers to seamlessly and securely manage their data across Salesforce and AWS. Now able to safely and responsibly use the latest generative artificial intelligence (AI) technologies in their applications and workflows. AWS and Salesforce support customers through new and enhanced integrations. Integrations between AWS technologies and Salesforce products, including unified data management, seamless deployment of AWS’s voice, video, and AI services, streamlined purchasing options through AWS Marketplace, and more. Amazon Salesforce is a marriage for the IT ages. In November 2023, Salesforce and Amazon announced a partnership. New joint innovations enhance data management, improve customer experiences, and enable AI-powered applications Salesforce significantly expands its use of AWS across its full portfolio and is taking an AWS-native approach for its most strategic and fastest growing innovation. The Salesforce Data Cloud. AWS increases its company-wide use of Salesforce CRM offerings, including adopting Data Cloud to manage its unified customer profiles. With Salesforce now available on AWS Marketplace, thousands of joint customers can accelerate their deployment of Salesforce products through seamless buying and billing experiences. San Francisco and Las Vegas — November 27, 2023 At AWS re: Invent, Amazon Web Services (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), and Salesforce, the #1 AI CRM (NYSE: CRM), today announced a significant expansion of their long standing, global strategic partnership. By deepening product integrations across data and artificial intelligence (AI), and for the first time offering select Salesforce products on the AWS Marketplace. The expanded agreement makes it easier for customers to seamlessly and securely manage their data across Salesforce and AWS,. Increasing the ability to safely and responsibly infuse the latest generative AI technologies into their applications and workflows. “Salesforce and AWS make it easy for developers to securely access and leverage data and generative AI technologies to drive rapid transformation for their organizations and industries. With this expanded partnership, our joint customers gain powerful new ways to innovate, collaborate, and build more customer-focused applications using the broadest and deepest set of cloud services.” Adam Selipsky, CEO, AWS How Customers Benefit To make it easier for customers to benefit from the combined value of Salesforce and AWS, the companies will deepen the integrations between AWS and Salesforce products. Salesforce will now support Amazon Bedrock. Bedrock is a fully managed service that makes foundation models (FMs) from leading AI companies available through a single application programming interface (API). This is part of Salesforce’s open model ecosystem strategy. Making Amazon Bedrock available through the Einstein Trust Layer to power AI-driven apps and workflows in Salesforce. In addition, Salesforce Data Cloud will expand to support data sharing across additional AWS technologies. These Data Cloud integrations will be governed by new centralized access controls. Thereby giving customers the ability to manage secure user access at the folder, object, and file level for Data Cloud content stored in Amazon Simple Storage Service (Amazon S3). Expanded Use of Amazon Web Services As part of this partnership, Salesforce will expand its use of Amazon Web Services, including compute, storage, data, and AI technologies through Hyperforce. Therefore further enhancing popular services like Salesforce Data Cloud. AWS will also expand its use of Salesforce products. Data Cloud will allow AWS to create a single unified customer profile allowing them to deliver more personalized experiences to customers.  Notable Quotable “We’re bringing together the #No. 1 AI CRM provider and the leading cloud provider to deliver a trusted, open, integrated data and AI platform, and ensuring we meet massive customer demand for our products on the AWS Marketplace. With these enhancements to our partnership, we’re enabling all of our customers to be more innovative, productive and successful in this new AI era.”  Marc Benioff, chair and CEO, Salesforce These new and enhanced integrations will include: Availability: What is Amazon Connect Salesforce? The Amazon Connect CTI Adapter provides a WebRTC browser-based contact control panel (CCP). This is within the Salesforce Lightning, Console, and Classic CRM experience. This CTI integration gives your agents the ability to leverage both inbound caller ID screen pop-ups and outbound click to call/transfer/conferencing. 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

Read More
Government-Citizen Communication

Government-Citizen Communication

Engaging Citizens and Influencing Behavior: A Public Sector Strategy Engaging citizens and influencing their behavior to achieve mission-critical outcomes follows a model similar to the traditional marketing funnel used in the private sector. By adapting this approach, government communicators can drive tangible results that contribute to the overall well-being of society. Government-Citizen Communication. Public Sector Communication Objectives: In today’s digital age, citizens expect timely, personalized communication. To meet this demand, government agencies must deliver the right message through the right channels at the right time. A failure to do so risks reduced engagement, which can negatively affect the success of public programs. Expanding Audience Reach To maximize citizen engagement, it’s crucial to focus on reaching a broader audience rather than narrowing it. A key question for communicators and their teams to ask is: “How broad is our audience?” This is an essential aspect of the funnel that ensures wider reach and greater impact. Communication Methods Public sector communication often utilizes a mix of channels, including radio, newspapers, television, and social media, to connect with the public. Collaboration is vital in this sector, requiring effective communication tools to coordinate across teams, departments, and agencies. As technology evolves, new tools are enhancing how public servants communicate and collaborate. Technology-Driven Collaboration Tools Several communication and collaboration tools are reshaping how the public sector operates: Best Practices for Government-Citizen Communication To foster effective engagement, government agencies should implement the following best practices: Secure, Customizable Citizen Communication Solutions Governments can benefit from a secure, open-source communication tool tailored to public sector needs. Such solutions ensure compliance with data protection laws and foster trust between citizens and government institutions, enhancing public service delivery and digital engagement. Tectonic’s Conclusion For optimal citizen engagement, government communicators must focus on expanding their audience reach and utilizing advanced communication tools. In doing so, they can enhance collaboration, drive citizen involvement, and ensure the success of critical public programs. 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

Read More
Modern Cloud Analytics

Modern Cloud Analytics

Unlocking the Power of Modern Cloud Analytics: A Tableau and AWS Initiative According to IDC research, analytics spending on the cloud is growing eight times faster than other deployment types. A comprehensive cloud technology stack supports data integration, self-service analytics, and essential use cases for digital transformation and analytics at scale. To help customers harness the power of cloud-based self-service analytics, Tableau continues to invest in its Modern Cloud Analytics initiative, launched at the Tableau Conference in 2019. What is Modern Cloud Analytics? Modern Cloud Analytics (MCA) combines the expertise and resources of Tableau, Amazon Web Services (AWS), and their partner networks. This collaboration maximizes the value of end-to-end data and analytics investments, from data strategy and migration to operational optimization. MCA helps organizations at any digital transformation stage securely deploy and scale cloud analytics, delivering faster time to value and reduced costs with validated migration processes that mitigate risk. Core Product Integration and Connectivity Tableau integrates seamlessly with AWS services, providing a complete solution for analyzing data stored in Amazon’s infrastructure. Key integrations include: Amazon S3 Connector: Leveraging Tableau’s Hyper in-memory data engine, this connector reads Parquet or CSV files directly from Amazon S3, eliminating the need for Hyper extracts. Available in Tableau Cloud and Tableau Exchange.Amazon Athena Connector: Now supports third-party identity providers (IdP) like Azure AD and Okta, offering secure and flexible authentication with multi-factor options.Amazon OpenSearch Connector: Developed by the Amazon OpenSearch Service team, available on Tableau Exchange.Amazon DocumentDB Connector: Created by the Amazon DocumentDB Service team, featured on Tableau Exchange.Amazon Neptune Connector: Developed by the Amazon Neptune Service team, available on Tableau Exchange. Skip Server Administration with Tableau CloudTableau Cloud, hosted on AWS, offers significant cost savings and performance improvements. “With Tableau Cloud, we’re saving over $300,000 annually in server and platform administration costs, with dashboard performance improving by 2x,” said Raj Seenu, Senior Director of Data Technologies at Splunk. This platform allows IT and data engineers to focus on other critical tasks, demonstrating a cloud-first approach. Splunk anticipates doubling its enterprise analytics adoption by the end of 2021. Getting Started with Modern Cloud AnalyticsThe MCA program assists customers in migrating data and analytics workloads to AWS, unlocking the benefits of a cloud-based analytics strategy. *Source: IDC InfoBrief, sponsored by Tableau and AWS, Cloud Business Intelligence and Analytics, doc #US46135420TM, April 2020. 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

Read More
Salesforce Lightning and Hyperforce

Difference Between Salesforce Lightning and Hyperforce

Salesforce Lightning Platform and Hyperforce: An Overview The Lightning Platform forms the core infrastructure of Salesforce, while Hyperforce is a new infrastructure model provided by the CRM platform. Salesforce Lightning Salesforce Lightning elevates customization with its modern and flexible framework. It offers a powerful drag-and-drop interface called the Lightning App Builder, enabling users to design custom homepages, record pages, and dashboards effortlessly. Salesforce Hyperforce Introduced at Dreamforce in December 2020 and recently made generally available, Hyperforce is an architectural enhancement to Salesforce’s platform designed for the public cloud. It offers several benefits, including scalability, global reach, and increased control over data residency. As part of the Salesforce Customer 360 platform, Hyperforce brings enhanced flexibility, scalability, and performance to the cloud. Key Benefits of Hyperforce: Hyperforce Migration Migrating to Hyperforce does not require additional costs. Once migrated, organizations will not experience significant changes, and non-Hyperforce services will continue to run. This code-based offering enhances speed, reliability, and global performance. Reasons to Migrate to Hyperforce: Hyperforce and Public Cloud Platforms Hyperforce can run on public cloud platforms like AWS, GCP, and Azure, representing a shift from traditional Salesforce-hosted data centers. The Data Cloud and Marketing Cloud are also built on Hyperforce, offering businesses a powerful platform for customer interactions and relationship management. Hyperforce vs. Shield Hyperforce provides volume-level encryption by default for data at rest, while Shield Platform Encryption operates in parallel, offering additional encryption features. Hyperforce Migration: Mandatory Upgrade Migrating to Hyperforce is not optional, as Salesforce has declared this architecture as its future. The migration process will occur over time, and organizations will need to prepare for it. If migration timing is not suitable, businesses should contact their Salesforce account agent. Data Residency and Migration Issues: While Hyperforce is expanding, more countries need to support data residency to have a truly international impact. Some migration issues may include Einstein loading problems, bot disruptions, and glitches with the Smartcomm managed package. Basic troubleshooting can resolve minor issues, but technical considerations like manual endpoint management may be time-consuming and costly. Hyperforce Assistant The Hyperforce Assistant provides a step-by-step guide to upgrade from Salesforce-managed physical data centers to Hyperforce, ensuring admins feel confident about the migration process. By adopting Hyperforce, businesses can enhance their customer data management with innovative solutions, ensuring robust security, scalability, and efficiency in their operations. 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

Read More
can-spam act

CAN-SPAM Act

Do you use email for your business? The CAN-SPAM Act, a law that regulates commercial email, sets requirements for these messages, grants recipients the right to stop receiving emails, and imposes significant penalties for non-compliance. The FTC enforces the CAN-SPAM Act and the associated CAN-SPAM Rule. Contrary to what its name might suggest, the CAN-SPAM Act isn’t limited to bulk email. It applies to all commercial messages, which are defined as any electronic mail message primarily intended to advertise or promote a commercial product or service, including emails that promote content on commercial websites. The law also applies to business-to-business email, meaning every email, such as one announcing a new product line to former customers, must adhere to CAN-SPAM regulations. Each individual email that violates the CAN-SPAM Act can result in penalties of up to $51,744, making compliance crucial. Fortunately, following the law is straightforward. Here’s an overview of CAN-SPAM’s key requirements: Frequently Asked Questions: Q: How do I know if the CAN-SPAM Act applies to the emails my business sends? A: The law applies based on the “primary purpose” of the message. An email can contain three types of content: If the message’s primary purpose is commercial, it must comply with CAN-SPAM. If it’s transactional or relationship-based, it must still avoid false or misleading routing information but is otherwise exempt from most CAN-SPAM requirements. Q: How can I determine if an email is a transactional or relationship message? A: An email is transactional or relationship-focused if it: These categories are interpreted narrowly, so be careful when assuming that any message sent to subscribers or members is transactional or relationship-based. Consider whether a reasonable recipient would view the email’s primary purpose as fitting into one of these categories. If not, the email must comply with CAN-SPAM. Q: What if an email combines commercial and transactional/relationship content? A: When an email includes both commercial and transactional/relationship content, the primary purpose determines its status. If the subject line leads a recipient to believe the message is primarily commercial or if the transactional/relationship content isn’t prominent at the beginning, the email is considered commercial and must comply with CAN-SPAM. Need More Information? For more detailed guidance on CAN-SPAM compliance, refer to the full CAN-SPAM Act or consult the FTC’s resources. Q: What if a message contains both commercial content and content classified as “other”? A: If a message includes both commercial content and other types of content, the CAN-SPAM Act applies if the primary purpose of the message is commercial. This determination is made if: Factors that influence this interpretation include the placement of the commercial content (e.g., whether it appears at the beginning of the message), the proportion of the message dedicated to commercial content, and how elements like color, graphics, and text style are used to emphasize the commercial aspects. Q: What if an email includes content from more than one company? Who is responsible for CAN-SPAM compliance? A: When an email promotes the products, services, or websites of multiple marketers, the responsible “sender” under the CAN-SPAM Act is typically determined by agreement among the marketers. The designated sender must: If the designated sender fails to meet these obligations, all marketers involved may be held liable as senders. Q: My company sends emails with a “Forward to a Friend” feature. Who is responsible for CAN-SPAM compliance for these forwarded messages? A: Whether a seller or forwarder is considered a “sender” or “initiator” under the CAN-SPAM Act depends on the situation. Typically, the Act applies if the seller offers an incentive for forwarding the message, such as money, discounts, or sweepstakes entries. In such cases, the seller is likely responsible for compliance. If a seller provides any benefit in exchange for forwarding an email or generating traffic, they are likely subject to CAN-SPAM regulations. Q: What are the penalties for violating the CAN-SPAM Act? A: Each email that violates the CAN-SPAM Act can result in penalties of up to $51,744, with the possibility of multiple parties being held responsible. Both the company whose product is promoted and the company that sent the message can be liable. Additionally, emails that contain misleading claims may be subject to other laws, like Section 5 of the FTC Act, which prohibits deceptive advertising. The CAN-SPAM Act also includes aggravated violations that could lead to additional fines and even criminal penalties, including imprisonment, for: Civil penalties may also require restitution to consumers under Section 19 of the FTC Act, covering not just what consumers paid, but also the value of their lost time. Q: Are there specific rules for sexually explicit marketing emails? A: Yes, the FTC has rules under the CAN-SPAM Act for emails with sexually explicit content. These emails must start with “SEXUALLY-EXPLICIT:” in the subject line. The body of the email must initially display only this warning and the standard CAN-SPAM information: the message’s commercial nature, the sender’s physical address, and an opt-out method. No images or graphics are allowed in this part of the message, ensuring that sexually explicit content isn’t viewable without an affirmative action, like scrolling or clicking. This requirement doesn’t apply if the recipient has previously given consent to receive such messages. About the FTC The FTC is dedicated to preventing fraudulent, deceptive, and unfair practices affecting businesses and consumers. You can report scams and unethical business practices at ReportFraud.ftc.gov. For guidance on legal compliance, visit business.ftc.gov. Understanding and fulfilling your compliance obligations is smart business practice, regardless of your organization’s size or industry. For updates on cases and initiatives, subscribe to the FTC’s Business Blog. Your Opportunity to Comment The National Small Business Ombudsman and 10 Regional Fairness Boards collect feedback from small businesses regarding federal compliance and enforcement activities. The Ombudsman evaluates these activities annually and rates each agency’s responsiveness to small businesses. Comments can be submitted without fear of reprisal by calling 1-888-REGFAIR (1-888-734-3247) or visiting www.sba.gov/ombudsman. Content updated January 2024. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a

Read More
Salesforce Privacy Center for Customer Preferences

Salesforce Privacy Center for Customer Preferences

Managing Customer Privacy and Preferences with Salesforce In today’s inter-connected world, consumers are increasingly aware of the data collected about them. They want better control over their communication preferences, such as email, texts, and phone calls. Enter Salesforce Privacy Center for Customer Preferences. Organizations collecting this data must properly manage their customers’ privacy and preferences, adhere to privacy laws like the GDPR and CPRA, and stay compliant with the evolving landscape of US state and federal laws. Managing the complexity of communications, privacy, and compliance can be daunting, but Salesforce offers tools within its platform to help you stay compliant and meet your customers’ needs for preference management. Utilizing the Individual Object in Salesforce The first step is to use the Individual object in the Salesforce platform. When a customer shows interest in your products or services, you enter their information as a lead. Once they make a purchase, you convert that lead into a Contact Object, or store their information in a Person Account. Often, the same person’s information might be stored in multiple objects. For example, someone named Johnathan Smith might also be entered as John or Johnny, leading to multiple contacts with the same email but different names. The Individual Object helps manage preferences for that person across various objects or a single user record. It also enables: The Salesforce Consent Data Model The Individual Object is a key component of the Salesforce Consent Data Model, which forms the foundation of Salesforce’s long-term view of consent. This model considers the individual’s entire experience, not just a single contact point. Scenario Example: An individual wishes to be contacted via email (ContactPointTypeConsent) but only using their personal email address (ContactPointConsent) for promotional emails (Data Use Purpose). Later, they opt for SMS texting (ContactPointTypeConsent) for shipping notifications (Data Use Purpose). The data model allows managing multiple types of consent across different brands for various data use purposes, with the Individual Object linking all scenarios to a single person. This capability helps manage compliance with consent management requirements. Managing Customer Preferences with Privacy Center Once the Individual Object is enabled and the model understood, the next step is to enable customers to manage their preferences. Before configuring the Salesforce platform, you should plan for implementation by considering: With policies and procedures in place, you can start implementing the technology. Salesforce Privacy Center helps configure preference management and track the process. It allows you to create user-friendly forms for websites or emails, enabling secure capture of customer preferences for contact methods, reasons, and timing. Starting with Privacy Center To manage preferences, launch Privacy Center and set up consent templates in Privacy Preference Manager. Customize your contact point types (e.g., phone, web, social) using Apex or the Privacy Center interface. These templates ensure consistent forms across multiple brands and business lines, tailored to your specific business and compliance needs. After creating a form using a template, you can drag and drop it into Experience Builder or embed it into your site, ensuring a consistent user experience across sites and brands. Additional Privacy Center Functions Privacy Center also supports: These tools help manage your data, ensure regulatory compliance, and provide customers with an integrated and easy experience. By utilizing the Individual Object along with Privacy Center, you can track and monitor customer preferences effectively and ensure compliance. 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

Read More
Marketing Cloud Intelligence For Data Integration

Marketing Cloud Intelligence For Data Integration

What exactly is Salesforce Datorama, now referred to as Marketing Cloud Intelligence? It is a versatile, cloud-based marketing data platform offering a suite of solutions aimed at enhancing data integration, reporting, analysis, and optimization. Marketing Cloud Intelligence For Data Integration. However, the question arises: Does Marketing Cloud Intelligence truly deliver the cloud-based Marketing Intelligence as Salesforce touts? Let’s dive into what this platform offers and dissect its capabilities without the fluff. Understanding the Platform: Salesforce’s Marketing Cloud Intelligence, formerly known as Datorama, serves as an analytics tool meticulously designed to integrate and visualize various forms of marketing performance data. It strikes a balance, catering to both analytically inclined marketers and seasoned analysts seeking to bridge data with conventional BI tools like Tableau. Flexible SaaS with Tailored Customization: Despite its Software-as-a-Service (SaaS) nature, Datorama surprises with its flexibility. It can function autonomously, handling data storage, modeling, ETL, and visualization, or seamlessly integrate with other platforms like Azure Databricks or Looker. While it accommodates numerous data use cases, its primary focus remains on Performance Marketing. Marketing Cloud Intelligence often gets misclassified as a traditional Business Intelligence or Analytics platform, but it truly excels in data management. For those contemplating its adoption, familiarity with its functionalities through resources like “Getting to Know Marketing Cloud Intelligence” or video walkthroughs is encouraged. Transition to Marketing Cloud Intelligence: The rebranding from Datorama to Marketing Cloud Intelligence was proposed in early 2022, gaining momentum recently. Despite the name change, the platform’s features and capabilities remain intact. Origins and Evolution: Originating from an Israeli-based technology firm in 2012, Datorama swiftly gained traction under the stewardship of its founders Ran Sarig, Efi Cohen, and Katrin Ribant. In 2018, Salesforce acquired Datorama, integrating it into the Marketing Cloud suite alongside Account, Engagement, Personalization, and Data Cloud platforms. However, as of February 2, 2023, the original founders and core engineering teams have moved on, possibly signaling a shift in the platform’s trajectory. Functionalities and Capabilities: Marketing Cloud Intelligence boasts robust data onboarding and connectivity features, with a rich assortment of connectors and retrieval mechanisms supporting popular data management platforms like SAP Hana, AWS, Oracle, Vertica, and SQL Server. It excels in ingesting and managing aggregated marketing performance data, with the capacity to handle event-level data as well. Pricing and Competitors: While its pricing model revolves around data row consumption and user seats, the platform may become cost-prohibitive at higher volumes. However, recent enhancements like Data Lake offer expanded row count flexibility without escalating costs. Its primary competitors include Domo, Adverity, NinjaCat, Improvado, Looker, PowerBI, and Google Data Studio. Use Cases and Industries: Marketing Cloud Intelligence serves marketers and advertisers across various industries, including communications, media, technology, healthcare, finance, manufacturing, automotive, retail, and publishing. Its versatility lies in supporting six specific marketing data use cases, ranging from building a single source of data to producing informative dashboards. Continuous Evolution: With frequent product releases, Marketing Cloud Intelligence remains dynamic, adapting to evolving market needs and technological advancements. Its commitment to enhancing analytics, visualization, connectivity, and marketplace apps ensures its relevance in the ever-changing landscape of marketing data management. Future Outlook: As Salesforce navigates the competitive analytics space, the future of Marketing Cloud Intelligence remains intriguing. While challenges like pricing pressures persist, the platform’s integration within the Marketing Cloud ecosystem and ongoing enhancements hint at a promising trajectory. Whether it evolves into a fully integrated analytics solution or retains its standalone utility, only time will tell. But one thing is certain: Salesforce’s promotion of Marketing Cloud Intelligence will continue to shape its evolution and market positioning moving forward. 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 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 Guide to Creating a Working Sales Plan Creating a sales plan is a pivotal step in reaching your revenue objectives. To ensure its longevity and adaptability to 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

Read More
Salesforce Security and Privacy

Salesforce Security and Privacy

Tailor Salesforce security and privacy add-on solutions to fit your specific company needs, covering essential aspects such as monitoring and masking sensitive data, implementing backups to prevent accidental or malicious data loss, and ensuring compliance with evolving privacy, encryption, and data residency regulations. Maintaining data privacy and compliance is made easier with user-friendly tools that streamline processes in Salesforce. Reduce compliance costs and enhance customer data protection by automating data subject requests, managing consent efficiently, and consolidating identities into a single profile. Simplify privacy management while safeguarding customer data effectively. Protecting data in production involves various strategies to meet legal obligations and minimize risk. Utilize methods such as randomization for unique data, hardcoding for static values, and deletion when data is unnecessary. Additionally, minimize storage in your production org by automatically deleting old records and files, removing audit data, and implementing hard deletion when appropriate. Automate data subject requests to save time and ensure efficient processing. Create policies to fulfill Right To Be Forgotten and Data Subject Access Requests automatically, monitor request progress, and utilize Privacy Hold to prevent data anonymization or deletion. Streamline customer consent management with Preference Manager, capturing customer preferences to maintain compliance and trust. Use customizable templates for consent forms, enable customers to update preferences easily, and integrate responses into the Salesforce Consent Data Model for consistency. Secure access management and unify customer identities across diverse sources. Administer customer profiles seamlessly within Salesforce, tailor customer journeys across various channels, and enhance personalization. Implement Passwordless Login for a simplified registration and access experience, catering to mobile-first markets and enhancing user convenience. Enable Social Sign On to streamline registration using familiar social credentials, reducing friction and improving the overall user experience. Maximize ROI with Salesforce’s Success Ecosystem, offering support, expert guidance, and resources to unlock the full potential of your investment. Salesforce prioritizes security and transparency, providing robust data processing mechanisms and privacy commitments to ensure compliance with data protection laws. As the leading CRM platform, Salesforce empowers organizations to build trust while leveraging data intelligence to enhance customer experiences. Embrace a Zero Trust security strategy, grounded in the principle of least privilege, to fortify your organization’s security posture. Implementing Zero Trust requires continuous authentication and restricting access to essential resources, mitigating the risk of unauthorized network access. Adhere to the Principle of Least Privilege within your Salesforce org by granting minimal permissions necessary for users’ roles. Conduct regular privilege audits to prevent over-privileged users and maintain compliance with security best practices. Stay informed about upcoming changes, such as the end-of-life of permissions on profiles, and explore additional security measures to strengthen your Salesforce instance’s security further. Ensure data security at rest with encryption-enabled databases and adherence to regional data laws, such as GDPR. Salesforce’s secure server environment and robust firewall technologies protect customer data from external intruders. In order to keep your data secure and private, prioritize data privacy and security in your Salesforce implementation by leveraging tailored solutions, adopting best practices, and fostering collaboration between your organization, Salesforce, and security teams. For assistance doing an audit of your system’s security or adding security features, contact Tectonic today. Content updated March 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

Read More
Headless Commerce is the Future of E-Commerce

Headless Commerce is the Future of E-Commerce

Why Headless Commerce is the Future of E-Commerce You’ve likely heard it said time and again: the future of e-commerce is headless. But why is this prediction so widespread? Why are 35% of businesses expected to adopt a headless architecture by 2025? high-code headless solutions and commerce-oriented analytics platforms come into play. Headless commerce is the future of e-commerce. Headless commerce refers to a system where the frontend of your website—encompassing the storefront and user experience—is decoupled from the backend, which handles data, functionality, and business logic. Recent statistics reveal that businesses adopting headless commerce have reduced time to market by 50%, increased site performance by 30%, and decreased the time spent on upgrades and bug fixes by 34%. Headless Commerce – Future of E-Commerce There are four key ways in which headless commerce enhances performance: 1. Personalization at Scale Headless architecture centralizes customer data and separates content creation from delivery, enabling businesses to personalize content and experiences more effectively across multiple touchpoints. 2. Greater Control Over Experiences Decoupling the frontend from the backend gives businesses full control over website functionality, performance, SEO, design, and layout. Changes can be made to the frontend without impacting backend systems, allowing for greater flexibility and responsiveness. 3. Enhanced Performance and Flexibility With smaller, more focused frontends, data loading becomes more efficient, resulting in faster site performance and optimized media. Headless architecture also allows for seamless integration with third-party systems, enabling businesses to adapt and evolve as needed. 4. Fostering a Culture of Experimentation The flexibility and control offered by headless commerce equip teams with the tools to experiment regularly and rigorously. This fosters a culture of experimentation, which can drive continuous improvement and innovation. While the first three benefits of headless commerce are valuable on their own, it’s the ability to support a culture of experimentation that truly sets headless apart. When these advantages come together, businesses can achieve a cumulative impact that significantly enhances their performance. Let’s explore how an experimental mindset can unlock the full potential of headless commerce. Nurturing a Culture of Experimentation with Headless Commerce The agility and efficiency of a headless approach empower e-commerce brands to build a culture centered on testing and optimizing customer experiences. However, experimentation inherently involves risk. Any new experience introduced to your website will affect its performance and user experience—ideally for the better, but there are no guarantees. The challenge, then, is how to mitigate those risks effectively. The good news is that a culture of experimentation and calculated risk-taking provides brands with continuous data-gathering opportunities, leading to better decision-making and improved outcomes. The key is ensuring that your business has complete data visibility. To minimize risks during testing and address potential issues quickly, you need full visibility into how every change impacts your site and customer experience. This allows your team to identify what’s working, troubleshoot what isn’t, and make informed decisions based on real-time insights. Rapid deployment of new experiences can then become a true competitive advantage, enabling you to leverage data-backed insights to enhance your digital offerings. Experimenting Safely with Headless Commerce To illustrate this, imagine a scenario where you’re A/B testing on your headless site. Suppose you discover that your checkout abandonment rate is higher than the industry average, and you hypothesize that a lengthy checkout process is to blame. You decide to run an A/B test comparing two versions of the checkout flow to see if a shorter process yields better results. However, deploying this test introduces an unexpected error in one variation, skewing your results. Without visibility into site errors, you might not even realize the issue, leading to confusing or inconclusive test outcomes. This is where high-code headless solutions and commerce-oriented analytics platforms come into play. They provide the necessary visibility and monitoring to support a culture of experimentation while minimizing risks. A platform like Noibu, a performance and error monitoring solution designed specifically for e-commerce, can help you navigate these challenges with agility. By continuously monitoring your site, Noibu detects any issues that arise during changes, alerts your team, and provides detailed technical insights to address the root cause quickly. This ensures that your experiments remain unaffected, allowing you to test freely without fearing conversion drops or revenue loss. This type of software acts as a safety net, promoting extensive experimentation by monitoring your site for potential errors and encouraging calculated risk-taking. Case Study: Ribble Cycles and the Benefits of Headless Commerce Ribble Cycles transitioned to a headless architecture and experienced greater freedom and control. Matthew Lawson, Chief Digital Officer, shares, “Choosing a headless/composable architecture for Ribble Cycles has given us unparalleled flexibility and control… [allowing] us to decouple the front end from backend services, enabling rapid iteration and unique, customer-centric features.” To mitigate the risks associated with site changes, Ribble Cycles turned to Noibu, an error-detection platform that allowed them to experiment and test solutions with reduced risk. “While headless brings risks, such as unforeseen impacts from changes, we mitigate these with advanced analytics and monitoring tools like Noibu,” Lawson notes. “These tools help us detect and resolve issues in real time, reinforcing a positive risk-taking culture and driving better results for our brand and customers.” With complete visibility into the impact of their experiments, Lawson’s team is now in control and reaping the rewards of their headless commerce strategy. “Best decision we have made,” adds Lawson. “We have a roadmap to take it even further.” 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

Read More
Salesforce CDP Innovations

Salesforce CDP Innovations

New Salesforce CDP Innovations: Smarter, Faster, and More Personalized Customer Interactions Salesforce has launched new innovations for its Customer Data Platform (CDP), designed to help businesses leverage first-party data for more personalized customer experiences. Leading brands like Bank of Montreal and convenience store retailer Casey’s are already using Salesforce CDP to create a unified source of customer truth, streamlining interactions and providing frictionless customer experiences. The world is gradually recovering from the pandemic, and consumer behavior is shifting as shops, hotels, restaurants, and other establishments reopen. While customers are eager to engage in the experiences they’ve missed, companies recognize that digital innovations, such as curbside pickup and direct-to-consumer websites, which fueled pandemic-era growth, are here to stay. As expectations for personalized, connected experiences grow—with 70% of customers demanding this—many businesses struggle to unify customer data across systems, teams, and devices. This data fragmentation makes it difficult to create a single source of truth for customers. Salesforce CDP: Built on the World’s Leading CRM Salesforce CDP solves this challenge by capturing, unifying, and activating customer data across various touchpoints to drive more personalized experiences. Today’s new CDP features make data smarter, more connected, and easier to activate securely. Built on Salesforce’s #1 CRM platform, the CDP unifies data from sales, service, marketing, loyalty, and commerce systems, creating a comprehensive single source of truth. Businesses can then leverage this unified view for personalized marketing, advertising, analytics, and relationship-building strategies that increase customer loyalty and revenue. New Innovations in Salesforce CDP Include: How Businesses Are Using Salesforce CDP Availability of New Features: This insight helped you learn more about these innovations and how Salesforce CDP can enhance customer engagement from anywhere. 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

Read More
Salesforce Cloud Hosted CRM

Is Salesforce Hosted in the Cloud?

Is Salesforce cloud hosted? What about Salesforce data? Salesforce Cloud is a suite of cloud-based customer relationship management software solutions that help businesses connect with customers, close deals, and deliver service. Was Salesforce always cloud based? Salesforce was founded in 1999 by Marc Benioff, a sales executive at Oracle, one of the largest software companies in the world. The company was founded on a single, bold premise – that software should be made available to the masses, on a 24/7 basis, over a global cloud computing infrastructure. Marc Russell Benioff is an American internet entrepreneur and philanthropist. Benioff is best known as the co-founder, chairman and CEO of the software company Salesforce, as well as being the owner of Time magazine since 2018. (Salesforce), a leading customer relationship management (CRM) company, chose Amazon Web Services (AWS) as its primary cloud provider in 2016. Today, Salesforce and AWS have a global strategic relationship focused on technical alignment and joint development. Salesforce remains a cloud hosted solution. Where is Salesforce data hosted? It depends on whether your org is on Hyperforce or not. If you’re on Hyperforce, then it will be stored on AWS. If you’re not on Hyperforce, then it will be stored in Oracle Database within Salesforce Data Centers. In both cases, Salesforce is cloud hosted. 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

Read More
Salesforce Government Cloud

Salesforce Government Cloud: Ensuring Compliance and Security

Salesforce Government Cloud public sector solutions offer dedicated instances known as Government Cloud Plus and Government Cloud Plus – Defense. These instances are built on Salesforce Customer 360, featuring both Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS) offerings. Key Features: Scale and Secure Apps on a Compliant Government Cloud: Government Cloud Plus for Public Sector: Unique Aspects of Government Cloud Plus: Compliant Environment and Security Measures: Drive Adoption and Salesforce FedRAMP: Salesforce FedRAMP Overview: Salesforce Usage in the U.S. Government: Salesforce Government Cloud Public Sector Solutions Content updated February 2022. 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

Read More
gettectonic.com