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AI Data Cloud and Integration

AI Data Cloud and Integration

The enterprise has transitioned from merely speculating about artificial intelligence to actively implementing it. In doing so, companies must determine the optimal combination of ancillary technologies that, when strategically paired with AI, can drive relevant use cases and business outcomes. With AI Data Cloud and Integration, your data-driven decisions happen in real-time. Salesforce Inc. is leveraging a powerful trio — its Data Cloud, automation, and AI — to deliver what it considers transformative outcomes for organizations. “AI has such wonderful capability today from predictive to generative, [but] it’s not new to Salesforce,” said Param Kahlon, executive vice president and general manager at Salesforce. “Salesforce has been doing predictive AI for almost 10 years now. But what is great is that generative AI now gives the ability to process these large language models on large amounts of unstructured, semi-structured content to generate great content that can be used by salespeople to send relevant emails and marketing people to create personalized landing pages.” Kahlon spoke with theCUBE Research Senior Analyst George Gilbert during a recent “The Road to Intelligent Data Apps” podcast series. They discussed how Salesforce is revolutionizing business operations in the digital age by harnessing AI-driven insights, contextualizing data with the company’s Data Cloud, and enabling real-time actions. Gen AI and Data Cloud for Contextualization In today’s business environment, intelligence is the cornerstone of success. Salesforce’s AI platform empowers companies with predictive and generative AI capabilities, enabling them to make insightful decisions and craft personalized experiences for their customers. Businesses can now process vast amounts of unstructured data and generate compelling content. “For this AI to be meaningful and for companies to harness the full value of AI, you want to make sure that you’re grounding the data that’s being used to generate those predictions with some things that are relevant to the current business process, to the current transaction, to the current context of interaction you’re happening with the customer,” Kahlon said. Salesforce’s Data Cloud acts as the AI foundation, enriching existing data models with relevant contextual data tailored to the specific needs of each business and their interactions with customers. “When we talk to our large Salesforce customers, they all tell us that AI is really important for them,” Kahlon said. “That is something that they want to drive, but they’re also saying that the data for them is spread out across the enterprise. Some of them tell us that they have more than 900 different business systems in which data is stored, and they want the ability to bring that data together in a seamless way so it can be processed by AI through Data Cloud.” Automation and Integration for Real-Time Action The combination of AI and Data Cloud generates actionable insights, but these insights alone aren’t enough. Businesses need to act swiftly on these predictions, driving real-time actions to capitalize on opportunities. This is where integration and automation come into play, according to Kahlon. “[Customers are] essentially telling us that data is spread across the enterprise and they want the data in real time to be available to customers,” he said. “With MuleSoft and Salesforce integration capabilities, we’ve focused on the real-time nature of making sure that you can take real-time business transactions in the context of the process that is happening, and that’s what’s differentiated in our approach to making sure that we can collect the data in real time and make actions happen in real time.” Integration is the glue that brings together data from various sources, allowing AI to derive meaningful insights. Salesforce’s integration capabilities, powered by MuleSoft, focus on real-time data processing, ensuring that businesses can act on insights as they occur. This low-latency approach enables not only Salesforce applications but also other third-party applications to contribute to the data ecosystem, Kahlon explained. “We’ve got a very large North American airline that has built their entire customer experience, from booking an airline ticket to checking into your flight and ordering special meals for your flight, all of that on an API-based platform — and we’re able to process that scale of transactions,” he said. “As you get into AI, all of that becomes extremely relevant to drive that real-time throughput, and that’s where our customers are finding value in our technology.” When the customer experience is the driver, the experience is always stellar. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Salesforce Campaign Flows

Salesforce Campaign Flows: A New Era of Automation

Salesforce’s Flow has long been a powerful automation tool, democratizing access to sophisticated automation for non-coders. It also drives the automation behind Marketing Cloud Growth Edition, including email dispatch. Salesforce Campaign Flows mark a significant step toward making automation more accessible for marketers. For the first time, Salesforce introduces what are termed “non-admin flows,” which offer a streamlined interface for managing Flow automation without dealing with complex nodes and elements. This marks a significant development, as no other Salesforce products currently feature this simplified approach. Marketers now have direct access to Flow’s capabilities. Introduction to Salesforce Campaign Flows Campaign Flows in Salesforce provide a user-friendly interface for setting up email content, applying actions to records triggered by events, and more. This functionality closely parallels tools like Engagement Studio in Account Engagement and Journey Builder in Marketing Cloud. However, the timeline for incorporating features such as Journey Builder’s goals and exit criteria into Campaign Flows remains undisclosed. Flow now supports shorter wait periods, a sought-after feature for orchestrating marketing journeys more effectively. Branching logic with Decision elements allows users to create “yes/no” paths based on lead or contact criteria, adding flexibility to the marketing automation process. Types of Campaign Flows Currently, there are two types of Campaign Flows: Segment-triggered Flows and Form-triggered Flows. The key differences between these Campaign Flows and traditional Salesforce Flows include: Available Elements Campaign Flows are a simplified version of Salesforce Flows, with some elements unavailable in this reduced interface. Key elements such as Wait and Decision elements are included, which are essential for marketing use cases. The following table compares available elements: Element Name Salesforce Flow Segment-triggered Flows Form-triggered Flows Action ✅ ❌ ❌ Add Prompt Instructions ✅ ❌ ❌ Apex Action ✅ ❌ ❌ Assignment ✅ ✅ ✅ Collection Filter ✅ ✅ ✅ Collection Sort ✅ ✅ ✅ Create Records ✅ ✅ ✅ Custom Error ✅ ❌ ❌ Decision ✅ ✅ ✅ Delete Records ✅ ✅ ✅ Email Alert ✅ ❌ ❌ Get Records ✅ ✅ ✅ Loop ✅ ✅ ✅ Recommendation Assignment ✅ ❌ ❌ Screen ✅ ❌ ❌ Send Email Message * ✅ ❌ Send SMS Message * ✅ ❌ Start ✅ ✅ ✅ Subflow ✅ ❌ ❌ Transform ✅ ❌ ❌ Update Records ✅ ✅ ❌ Wait ✅ ✅ ✅ Wait Until Event * ✅ ✅ *Only with Marketing Cloud Growth Wait vs. Wait Until Event Elements The “Wait” element allows for fixed pauses, such as waiting for three days. The “Wait Until Event” element, available in Marketing Cloud Growth, holds Leads/Contacts until a specified event makes them eligible to proceed. This mirrors functionality found in Engagement Studio. User Access and Capabilities In Marketing Cloud Growth, Campaign Flow sharing is set to private by default, with visibility influenced by associated records, sharing rules, and manual sharing settings. This means Campaign Flows are generally private unless additional sharing rules are established. Creating and Editing Campaign Flows Campaign Flows in Marketing Cloud Growth have a simplified user interface compared to Salesforce’s traditional flows. Summary The introduction of non-admin flows in Salesforce marks a significant step toward making automation more accessible for marketers. These simplified interfaces enable the creation of effective marketing campaigns while maintaining the option to integrate with more complex flows in Marketing Cloud Growth Edition. Future developments will likely expand the use cases and capabilities of these streamlined flows. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Salesforce Automated Case Routing

Understand Salesforce Automated Case Routing

Simplified Case Management with Automation Customer service becomes easier, faster, and more effective with automation tools. A well-organized case management system ensures that customer inquiries are routed to the right person, get the correct answers, and are resolved promptly. Delays or errors in responses can lead to customer dissatisfaction, making efficient case routing critical. Salesforce Service Cloud offers robust automation tools to simplify case management and ensure the right service agents handle cases efficiently, minimizing errors and maximizing customer satisfaction. Efficient Handling of Multi-Channel Case Creation With cases being generated from multiple service channels like web, email, phone, and chat, managing them efficiently can be challenging. Service agents often spend significant time prioritizing, sorting, and assigning cases manually, which can reduce productivity. Moreover, identifying agents with specialized skills and assigning appropriate cases to them can be time-consuming. Automating this process ensures optimal resource utilization, faster resolutions, and higher customer satisfaction. Salesforce provides several tools for routing cases to the right agents: Additionally, advanced automation tools enhance case-routing efficiency: Omni-Channel Routing: Revolutionizing Case Management Omni-Channel Routing is a powerful feature that transforms inefficient systems into streamlined workflows. Without it, agents often rely on manual processes, such as selecting cases from lists, which can result in: Omni-Channel automatically assigns cases to qualified and available agents in real-time, ensuring balanced workloads and prioritizing urgent cases. It seamlessly integrates with both Salesforce Classic and Lightning Experience, saving time and enabling agents to focus on resolving cases quickly. Routing Techniques: Case Assignment Rules: Simplifying Small Business Needs Case Assignment Rules automate case ownership by assigning cases to specific users or queues based on predefined criteria. These rules apply to all cases, regardless of origin, including web-to-case, email-to-case, and more. Key Features: Escalation Rules: Prioritizing Unresolved Cases Escalation Rules help identify and resolve cases that remain unresolved within a specific timeframe. They reassign cases to specific users or teams and send notifications, ensuring: Rules are configured with business hours and time-based criteria to determine when cases should be escalated. Einstein Case Classification & Routing: AI-Powered Efficiency Salesforce Einstein uses machine learning to predict and populate case record fields automatically, reducing agent effort and improving accuracy. How It Works: Einstein Case Routing combines AI predictions with assignment or skill-based routing rules to assign cases to the most suitable agents, improving resolution speed and customer satisfaction. Conclusion Automated case routing transforms customer service by improving productivity, efficiency, and resolution speed. While Omni-Channel Routing is the most comprehensive tool for case management, Escalation and Assignment Rules also play vital roles for smaller business needs. Together, these tools enable businesses to deliver exceptional customer experiences. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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360 SMS Salesforce Chatbot

360 SMS Salesforce Chatbot

360 SMS Salesforce Chatbot vs. Traditional Customer Support: An Analysis In the evolving tech space of customer service, businesses continue to seek ways to enhance customer satisfaction while optimizing costs. One notable resource in recent years is the increasing reliance on chatbots, with the 360 SMS chatbot emerging as a powerful SMS tool for efficient customer support. But how does it measure up against traditional customer support methods? This comparative analysis explores the effectiveness and efficiency of the 360 SMS SFDC Chatbot in contrast to conventional approaches. Understanding Traditional Customer Support Traditional customer support involves human interaction where agents handle inquiries via phone calls, emails, or in-person interactions. These methods are valued for their personalized service and ability to handle complex queries effectively. However, they come with some challenges: Introducing the 360 SMS SFDC Chatbot The 360 SMS SFDC chatbot automates business conversations independently within Salesforce environments without extensive coding. This no-code solution integrates seamlessly with Salesforce, accessing customer data to provide personalized interactions and streamline customer support processes. Key Advantages of the 360 SMS Salesforce Chatbot: Traditional Customer Support: 360 SMS SFDC Chatbot: Traditional Customer Support: 360 SMS Chatbot: Traditional Customer Support: 360 SMS Salesforce Chatbot: Traditional Customer Support: 360 SMS Salesforce Chatbot: Traditional Customer Support: 360 SMS Salesforce Chatbot: Traditional Customer Support: 360 SMS Salesforce Chatbot: Traditional Customer Support: 360 SMS Salesforce Chatbot: While traditional customer support offers personalized service and handles complex queries effectively, the 360 SMS SFDC chatbot provides 24/7 availability, scalability, and cost-effectiveness. By combining both approaches, businesses can enhance customer experiences, optimize operational costs, and meet evolving market demands effectively. Embracing innovative solutions like the 360 SMS Salesforce chatbot is crucial for staying competitive, meeting customer expectations, and transforming organizational efficiency in today’s dynamic business environment. 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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Enhance Payer Patient Education

Enhance Payer Patient Education

Data and Technology Strategies Enhance Payer Patient Education Analytics platforms, omnichannel engagement tools, telehealth, and other technological advancements have become essential in driving successful, enhanced payer patient education. Cathy Moffitt, MD, a pediatrician with 15 years of experience in the pediatric emergency department and now the senior vice president and Aetna chief medical officer at CVS Health, understands the critical role of patient education. “Education is empowerment. It is engagement. It is very critical to making patients more equipped to handle their healthcare journey,” Moffitt said in an episode of Healthcare Strategies. “Even overseeing a large payer like Aetna, I still believe tremendously in health education.” Enhance Payer Patient Education For large payers, effective patient education begins with data analytics and a deep understanding of their member population. Through data, payers can identify key insights, including when members are most receptive to educational materials. “People are more open to hear you and to be educated and empowered when they need help right then,” Moffitt explained. Timing is crucial—offering educational resources when they’re most relevant to a member’s immediate needs increases the likelihood that the information will be absorbed and acted upon. Aetna’s Next Best Action initiative, launched in 2018, exemplifies this approach. Through this program, Aetna employees reach out to members with specific conditions, offering guidance on the next best steps for managing their health. By providing education at a time when members are most open to it, the initiative ensures that patient education is both timely and impactful. In addition to timing, payer data can shape patient education by providing insights into a member’s demographics, including race, sexual orientation, gender identity, ethnicity, and location. Tailoring educational efforts to these factors ensures that communication is accessible and resonates with members. To better connect with a diverse member base, Aetna has integrated translator services into its customer support and trained representatives on sensitivity to sexual orientation and gender identity. Additionally, updating the provider directory to reflect demographic data is crucial. When members see providers who share their language, culture, and experiences, they are more likely to engage with and retain the educational materials provided. “Understanding, in a multicultural and multifactorial way, who our members are and trying to help understand what they need…as well as understanding both acute and chronic illness from an actionability standpoint, where we can best engage to good effect as we reach out to people—that’s the cornerstone of our intent and our philosophy around how we scrub data,” Moffitt shared. With over 20 years in the healthcare industry, both as a provider and now in a payer role, Moffitt has observed key trends and identified strengths and weaknesses in patient education efforts. She noted that the most successful patient education initiatives have been in mental health and preventive care, with technology playing a crucial role in both areas. Patient education has significantly reduced the stigma around mental healthcare and highlighted the importance of mental wellness. Telemedicine has vastly improved access to care, particularly in mental health, Moffitt noted. In preventive care, more people are now aware of the benefits of cancer screenings, vaccines, wellness visits, and other preventive measures. Moffitt suggested that the increased use of home health visits and retail clinics has contributed to these improvements, particularly among Aetna’s members. Looking ahead, Moffitt predicted that customized engagement is the next frontier for patient education. Members increasingly want educational materials delivered in a personalized and streamlined manner that suits their preferences. Omnichannel engagement solutions will be vital in meeting this demand. While significant progress has been made in enabling members to receive educational materials through various channels such as email, text, and phone calls, Moffitt anticipates even more advancements in the future. “I can’t tell you exactly where we’re going to be in 10 years because I wouldn’t have been able to tell you 10 years ago where we are now, but we will continue to respond and meet the demands with the technological commitments that we’re making,” Moffitt said. 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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Cloud PBX

Cloud PBX

The Clock is Ticking on the Big UK Traditional Telephony Switch-Off As the UK approaches the traditional telephony switch-off, millions of small businesses are prioritizing the digitization of their voice communications. The move to cloud-powered replacements – Cloud PBX – is not just about meeting the January 2027 deadline; it’s an opportunity to modernize and leverage the benefits of cloud-based communications. The switch-off represents a chance for businesses to embrace a mobile-first, omnichannel approach to communication, unifying voice, video, emails, messaging, webchat, and more. This integration empowers employees to work smarter and enhances the customer experience. For small businesses and their IT service provider partners, modernization depends on deploying feature-rich, affordable technology that simplifies complexity and delivers tangible efficiency gains. Choosing the right product and vendor is crucial. “Cloud-powered, unified communication is no longer just for larger enterprises; small businesses must also embrace transformational change to keep pace with modern work trends. What may seem like a major undertaking can be easier than they think,” says Arya Zhou, Head of Global Sales at Yeastar. Yeastar’s recently launched P520 IPPBX digitizes voice calling and seamlessly integrates it with video, messaging, and customer experience into one platform. Discover the Yeastar P520 The Yeastar P520, part of the P-Series Appliance Edition, supports up to 20 users and 10 concurrent calls. It combines a compact, lightweight hardware body with powerful software capabilities. It supports Yeastar’s Linkus UC Client for various platforms, integrates with Microsoft Teams, and provides comprehensive call analytics and graphical call reports to improve communication efficiency and productivity. The P520 offers advanced call center features, including: Additionally, it includes team chat with presence and file sharing, integrated lightweight video conferencing, PBX-native external contacts management, extension groups, and ready-made integrations with popular CRMs and helpdesks. All these features come with single-point configuration and enterprise-grade security. “The Yeastar P520 is ideal for smaller teams looking to enhance their communication infrastructure,” says Zhou. “It delivers advanced communication capabilities and improved productivity tailored for SMBs and startups, without high costs.” Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Generative AI Replaces Legacy Systems

Securing AI for Efficiency and Building Customer Trust

As businesses increasingly adopt AI to enhance automation, decision-making, customer support, and growth, they face crucial security and privacy considerations. The Salesforce Platform, with its integrated Einstein Trust Layer, enables organizations to leverage AI securely by ensuring robust data protection, privacy compliance, transparent AI functionality, strict access controls, and detailed audit trails. Why Secure AI Workflows Matter AI technology empowers systems to mimic human-like behaviors, such as learning and problem-solving, through advanced algorithms and large datasets that leverage machine learning. As the volume of data grows, securing sensitive information used in AI systems becomes more challenging. A recent Salesforce study found that 68% of Analytics and IT teams expect data volumes to increase over the next 12 months, underscoring the need for secure AI implementations. AI for Business: Predictive and Generative Models In business, AI depends on trusted data to provide actionable recommendations. Two primary types of AI models support various business functions: Addressing Key LLM Risks Salesforce’s Einstein Trust Layer addresses common risks associated with large language models (LLMs) and offers guidance for secure Generative AI deployment. This includes ensuring data security, managing access, and maintaining transparency and accountability in AI-driven decisions. Leveraging AI to Boost Efficiency Businesses gain a competitive edge with AI by improving efficiency and customer experience through: Four Strategies for Secure AI Implementation To ensure data protection in AI workflows, businesses should consider: The Einstein Trust Layer: Protecting AI-Driven Data The Einstein Trust Layer in Salesforce safeguards generative AI data by providing: Salesforce’s Einstein Trust Layer addresses the security and privacy challenges of adopting AI in business, offering reliable data security, privacy protection, transparent AI operations, and robust access controls. Through this secure approach, businesses can maximize AI benefits while safeguarding customer trust and meeting compliance requirements. 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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Managing Data Quality in an AI World

Managing Data Quality in an AI World

Each year, Monte Carlo surveys real data professionals about the state of their data quality. This year, we turned our gaze to the shadow of AI—and the message was clear. Managing Data Quality in an AI World is getting harder. Data quality risks are evolving — and data quality management isn’t. Among the 200 data professionals polled about the state of enterprise AI, a staggering 91% said they were actively building AI applications, but two out of three admitted to not completely trusting the data these applications are built on. And “not completely” leaves a lot of room for error in the world of AI. Far from pushing the industry toward better habits and more trustworthy outputs, the introduction of GenAI seems to have exacerbated the scope and severity of data quality problems. The Core Issue Why is this happening, and what can we do about it? 2024 State of Reliable AI Survey The Wakefield Research survey, commissioned by Monte Carlo in April 2024, polled 200 data leaders and professionals. It comes as data teams grapple with the adoption of generative AI. The findings highlight several key statistics that indicate the current state of the AI race and professional sentiment about the technology: While AI is widely expected to be among the most transformative technological advancements of the last decade, these findings suggest a troubling disconnect between data teams and business stakeholders. More importantly, they suggest a risk of downward pressure toward AI initiatives without a clear understanding of the data and infrastructure that power them. Managing Data Quality in an AI World. The State of AI Infrastructure—and the Risks It’s Hiding Even before the advent of GenAI, organizations were dealing with exponentially greater volumes of data than in decades past. Since adopting GenAI programs, 91% of data leaders report that both applications and the number of critical data sources have increased even further, deepening the complexity and scale of their data estates in the process. There’s no clear solution for a successful enterprise AI architecture. Survey results reveal how data teams are approaching AI: As the complexity of AI’s architecture and the data that powers it continues to expand, one perennial problem is expanding with it: data quality issues. The Modern Data Quality Problem While data quality has always been a challenge for data teams, this year’s survey results suggest the introduction of GenAI has exacerbated both the scope and severity of the problem. More than half of respondents reported experiencing a data incident that cost their organization more than $100K. And we didn’t even ask how many they experienced. Previous surveys suggest an average of 67 data incidents per month of varying severity. This is a shocking figure when you consider that 70% of data leaders surveyed also reported that it takes longer than four hours to find a data incident—and at least another four hours to resolve it. Managing Data Quality in an AI World But the real deal breaker is this: even with 91% of teams reporting that their critical data sources are expanding, an alarming 54% of teams surveyed still rely on manual testing or have no initiative in place at all to address data quality in their AI. This anemic approach to data quality will have a demonstrable impact on enterprise AI applications and data products in the coming months—allowing more data incidents to slip through the cracks, multiplying hallucinations, diminishing the safety of outputs, and eroding confidence in both the AI and the companies that build them. Is Your Data AI-Ready? While a lot has certainly changed over the last 12 months, one thing remains absolutely clear: if AI is going to succeed, data quality needs to be front and center. “Data is the lifeblood of all AI — without secure, compliant, and reliable data, enterprise AI initiatives will fail before they get off the ground. The most advanced AI projects will prioritize data reliability at each stage of the model development life cycle, from ingestion in the database to fine-tuning or RAG.” Lior Solomon, VP of Data at Drata, The success of AI depends on the data—and the success of the data depends on your team’s ability to efficiently detect and resolve the data quality issues that impact it. By curating and pairing your own first-party context data with modern data quality management solutions like data observability, your team can mitigate the risks of building fast and deliver reliable business value for your stakeholders at every stage of your AI adventure. What can you do to improve data quality management in your organization? 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 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 Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

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Dynamically Assign Approvers

Dynamically Assign Approvers

Dynamically Assign Approvers Based on Criteria You can configure approvers based on specific criteria or formulas. Dynamically Assign Approvers to save timeFor instance, if you want the approver to be the regional manager associated with a sales rep’s opportunity, the system will automatically update to reference the new manager if there’s a change. Required Editions to Dynamically Assign Approvers Setting Up Dynamic Approvers Important: Dynamic approvals require a single approver record and do not support delegated approvers. 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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Google Says I'm Sorry

Google Says I’m Sorry

Google Apologizes for Chrome Password Manager Bug Affecting Windows Users Google has issued an apology after a bug prevented many Windows users from accessing or saving their passwords through Chrome’s password manager. The issue, which began on July 24 and lasted for nearly 18 hours before being resolved on July 25, was attributed to “a change in product behavior without proper feature guard.” This explanation may sound familiar to those affected by recent disruptions in similar services. The bug affected Chrome users globally, rendering previously saved passwords invisible and preventing the storage of new passwords. Google clarified that the problem was limited to the M127 version of Chrome Browser on the Windows platform. Impact of the Bug on Users The exact number of users affected by this bug is challenging to determine. However, given that Chrome has over 3 billion users worldwide, with a significant portion using Windows, a considerable number were impacted. Google stated that 25% of users were subjected to the configuration change, equating to roughly 750 million people. Of these, around 2%, or approximately 15 million users, experienced the password manager issue. Resolution and Interim Measures Google provided an interim workaround that required users to start Chrome with the command line flag “–enable-features=SkipUndecryptablePasswords.” However, a more user-friendly fix has since been deployed, which simply requires users to restart their Chrome browser. Google thanked users for their patience and apologized for the inconvenience caused by the disruption. They advised users experiencing additional issues to contact Google Workspace Support. Using Google’s Chrome Password Manager To access Google’s Chrome password manager, users can go to the browser’s three-dot menu and select Passwords and Autofill, then Google Password Manager. Alternatively, the password manager Chrome app can be installed from the settings, allowing direct access from the Google apps menu. Users prompted to autofill a password can also select “manage passwords” to reach the manager. For those considering switching from a standalone password manager to Google’s service, the process is straightforward. Users can export passwords from their current manager in a .CSV file, ensuring it is correctly formatted. They can then import this file into Google’s system through passwords.google.com, choosing Settings|Import. After importing, users should delete the .CSV file to protect their data. While Google’s Chrome password manager is convenient, it may not offer the same level of security as dedicated password managers, which often include features like two-factor authentication, secure password generation, and more robust encryption methods. For instance, services like 1Password use end-to-end encryption, 256-bit AES encryption, and other advanced security features to protect user data. Recent Google Security Issues In addition to the Chrome password manager issue, Google has recently addressed another security lapse involving email verification for new Google Workspace accounts. According to cybersecurity reporter Brian Krebs, this flaw allowed bad actors to bypass email verification during account setup, potentially leading to impersonation attacks. Google fixed this vulnerability within 72 hours of it being reported, ensuring no domains previously associated with Workspace accounts were affected. 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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Auto-Enablement of the new Maps experience in October

Auto-Enablement of the new Maps experience in October

To ensure a smooth transition and enhance your experience in Salesforce Maps, the new features currently available in all environments will be auto-enabled in the Winter ’25 release this October. We encourage you to enable the new experience now and share your feedback to help us meet your needs and expectations. Instructions on activating the new experience can be found here. 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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user questions and answers

Salesforce Marketing Cloud: Private Domain vs. Verified Domain

Understanding the Difference Between Private Domain and Verified Domain in Salesforce Marketing Cloud A Private Domain in Salesforce Marketing Cloud offers full DKIM, SPF, and DMARC authentication for a custom domain, which can significantly improve email deliverability. In contrast, a Verified Domain verifies that the sender owns the domain but does not provide the same level of authentication. While platforms like Constant Contact allow users to add authentication records (such as DKIM, SPF, and DMARC) themselves, this approach is not applicable to Salesforce Marketing Cloud when using Verified Domains. Although technically possible to self-host DNS for a Private Domain and manually add authentication records, Salesforce must provide the specific values for these records, particularly the DKIM key. Salesforce Marketing Cloud vs Salesforce Account EngagementEmails sent through Salesforce Marketing Cloud are signed with a DKIM key, which the recipient’s mail server verifies against the DKIM record in the sender’s DNS. If the DKIM signature does not match the DNS record, the email will fail delivery. Verified Domains do not include Salesforce-signed DKIM keys, making them unsuitable for fully authenticated email sends. For organizations prioritizing email deliverability and compliance, requesting a Private Domain from Salesforce is recommended. While it may require additional setup, it ensures proper authentication and enhances the success of email campaigns. 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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Workday and Salesforce Unveil New AI Employee Service Agent

Workday and Salesforce Unveil New AI Employee Service Agent

In a Wednesday interview with CNBC’s Jim Cramer, the CEOs of Salesforce and Workday, Marc Benioff and Carl Eschenbach, announced their companies’ new partnership to develop an artificial intelligence assistant. Workday and Salesforce Unveil New AI Employee Service Agent. This collaboration aims to enhance onboarding, human resources, and other business processes. Salesforce Chair and CEO Marc Benioff and Workday CEO Carl Eschenbach join ‘Mad Money’ host Jim Cramer to talk their AI partnership. Both CEOs emphasized that the strength of their partnership lies in the integration of their extensive data sets. Benioff stated, “AI is all about data, and having access to extensive data enables us to deliver exceptional AI capabilities. This partnership exemplifies two companies coming together to ensure our customers have the data they need to realize the full potential of artificial intelligence.” Partnership will deliver a personalized, AI-powered assistant for employee service use cases such as onboarding, health benefits, and career development within Salesforce and Workday The two companies will establish a common data foundation that unifies HR and financial data from Workday with CRM data from Salesforce, enabling AI-powered use cases that boost productivity, lower costs, and improve the employee experience Workday will be natively integrated inside of Slack with deeper automation, so employees can seamlessly collaborate around worker, job, candidate, and similar records using AI Salesforce and Workday are both cloud-based software companies. Salesforce is renowned for its Slack application and software for sales, customer service, and marketing, while Workday specializes in human resources, recruiting, and workforce management. Eschenbach highlighted that Salesforce and Workday possess three crucial data sets in the enterprise landscape—employee data, customer data, and financial data. He added that the new initiative benefits customers by integrating services across platforms, eliminating the need to switch between different systems. “Through this partnership and our ability to share data, customers can seamlessly access our data sets whether they’re using Slack, Workday, or Salesforce,” Eschenbach said. Workday and Salesforce Unveil New AI Employee Service Agent The combination of Salesforce’s new Agentforce Platform and Einstein AI with the Workday platform and Workday AI will enable organizations to create and manage agents for a variety of employee service use cases. This AI agent will work with and elevate humans to drive employee and customer success across the business. Powered by a company’s Salesforce CRM data and Workday financial and HR data, the new AI employee service agents have a shared, trusted data foundation to communicate with employees in natural language, with human-like comprehension. As a result, taking action as part of onboarding, health benefit changes, career development, and other tasks will be easier than ever. When complex cases arise, the AI employee service agent will seamlessly transfer to the right individual for remediation, maintaining all the previous history and context for a smooth hand-off. This unique approach of humans and AI seamlessly working together will result in greater productivity, efficiency, and better experiences for employees. This is only possible by having the data, AI models, and apps deeply integrated. “The AI opportunity for every company lies in augmenting their employees and delivering incredible customer experiences. That’s why we’re so excited about our new Agentforce platform which enables humans and AI to drive customer success together, and this new partnership with Workday, to jointly build an employee service agent. Together we’ll help businesses create amazing experiences powered by generative and autonomous AI, so every employee can get answers, learn new skills, solve problems, and take action quickly and efficiently.” Marc Benioff, Chair and CEO, Salesforce Benefits to Employees Employees can now receive instant support through natural language conversations with their AI employee service agent, whether they are working in Salesforce, Slack, or Workday. This AI-driven assistant provides contextual help by understanding requests, accessing relevant information from integrated Workday-Salesforce data sources, and automating resolutions across platforms. Sal Companieh, Chief Digital and Information Officer at Cushman & Wakefield, commented, “As a leading global commercial real estate services firm, we prioritize employee support and engagement, which directly impacts client service. The ability to streamline workflows across Workday and Salesforce and deliver more personalized AI-powered employee experiences will be transformative for us.” Benefits to Employers By integrating HR, financial, and operational data into advanced AI models, Salesforce and Workday enhance workforce capabilities beyond individual productivity, fostering overall workforce intelligence, optimization, and resilience: 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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