Data Cloud Archives - gettectonic.com - Page 10
Informed Decision-Making
01Nov

Informed Decision-Making

Informed Decision-Making Through Data Visualization: Power BI vs. Tableau Today’s businesses need to make informed decisions by leveraging organized and analyzed data. Data visualization is a key method for extracting insights from this data, and Power BI and Tableau are two leading tools that often spark debate among experts. Both are highly regarded for their ability to visualize data, and CTOs frequently compare Power BI vs. Tableau to determine the best fit for their needs. Why Power BI and Tableau Stand OutBoth tools excel at data visualization, making them top choices for business intelligence (BI) solutions. They offer seamless integration with various platforms, can handle large volumes of data, and provide predictive analytics capabilities. To help CTOs and other decision-makers boost efficiency, let’s dive into a comparison of Power BI vs. Tableau and examine how each tool measures up. Power BI Microsoft’s Power BI is a leading BI tool designed to transform data from diverse sources into insightful visual reports. It allows users to create, share, and manage analytical reports, ensuring accessibility at all times. As part of the Microsoft ecosystem, Power BI is ideal for large organizations that already use Microsoft products. Tableau Tableau delivers powerful data visualization with flexible deployment options, allowing users to seamlessly access insights. With its integration into Salesforce Data Cloud, Tableau offers a fast and scalable way to work with customer data in real time. Its strong data-handling capabilities make it popular among larger organizations and data experts. Power BI vs. Tableau: Key Differences Let’s explore the key differences between Power BI and Tableau to guide your informed decision-making. Data Visualization and User Interface Data Integration and Connectivity for Informed Decision-Making Data Handling and Performance Ease of Learning Programming Tools Support Pricing Microsoft Power BI vs. Salesforce Tableau: Pros and Cons Power BI Pros Tableau Pros Which is Better: Power BI or Tableau? When comparing Microsoft Power BI vs. Tableau, the right choice depends on your organization’s size, technical expertise, and specific needs. For smaller businesses and those already using Microsoft tools, Power BI is often the best fit. On the other hand, larger organizations managing substantial datasets might favor Tableau for its advanced capabilities. Ultimately, the decision between Power BI vs. Tableau should be based on your unique business requirements and the level of technical expertise available within your team. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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November 1, 2024in Data, Google, Google Analytics, Salesforce, Salesforce Data Cloud
Winter 25 Release Notes
01Nov

Winter 25 Release Experience Cloud

Salesforce Winter ’25 Release: 6 Key Enhancements to Experience Cloud The Salesforce Winter ’25 Release brings a fresh suite of updates to Experience Cloud, focusing on design customization, SEO optimization, and streamlined navigation for enhanced user engagement. We’ve summarized six major updates and additional enhancements that make this release a significant step forward for Experience Cloud sites. 1. Enhanced Design Options for LWR Sites Winter ’25 empowers site designers with more granular control over the look and feel of LWR (Lightning Web Runtime) sites. New customization options in the Experience Builder Theme panel now allow for specific styling of individual components like columns and buttons, offering a new level of precision in visual design. Additional features include a Scoped Header and Footer layout that allows fixed positioning for headers and footers, enhancing user experience with persistent navigation elements. Site admins can define unique color palettes for buttons across various states (default, hover, focus), and apply color schemes to individual columns, which can now be set in the Theme panel. Further text customizations for headings have also been added, allowing a personalized touch for every element on LWR sites. 2. SEO-Friendly URLs for Accounts and Contacts (Generally Available) To drive organic traffic, the Winter ’25 Release introduces SEO-friendly URL slugs for Account and Contact pages, replacing traditional record IDs with easily readable URLs. This enhancement allows search engines to better index content, making it easier for users to find your pages. Site managers can configure SEO-friendly URLs directly in the Administration panel and import slugs in bulk for faster setup. 3. Data Providers for LWR Sites (Beta) Experience Cloud now includes an option to configure data providers on LWR site pages, enabling seamless integration with data from various sources, including Apex and Record providers. Admins can specify data sources within Experience Builder, allowing for real-time data updates across components and pages, providing a more dynamic and responsive experience for users. 4. Revamped Navigation and New Components The Navigation Menu component has been revamped, allowing admins to design a more intuitive navigation experience for both desktop and mobile users. The beta Site Header component further enhances branding with logo placement and customizable headers, while the Grid component now ensures consistent cell height, improving the visual balance of page layouts. Tailored navigation menus for desktop and mobile screens can be customized for color, spacing, text styles, and more to provide an optimized experience across devices. 5. Expanded Data Cloud Integration for Event Tracking Winter ’25 expands Data Cloud integration to capture checkout, order, and cart events on enhanced LWR sites. Ecommerce-focused organizations can now record user interactions—like checkout initiation and address input—automatically, giving businesses richer insights into customer behavior. Data captured through these events can be viewed within Data Cloud, allowing admins to understand user engagement and optimize site design accordingly. 6. Salesforce File Linking for LWR Sites (Beta) The new File Upload Lightning Web Component enables file uploads directly from an LWR site to Salesforce, an option previously available only on Aura sites. This update streamlines the file transfer process, allowing guest users to upload files securely, which are then accessible within Salesforce. Additional Experience Cloud Enhancements In addition to the primary updates, Winter ’25 introduces several valuable, albeit smaller, features: Availability of Features Some Winter ’25 features will be accessible immediately after release, while others require setup by admins. Consider notifying users about these updates to ensure a smooth transition and to leverage the full potential of new functionalities. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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November 1, 2024in Data, Marketing Automation, Salesforce Development Services, Salesforce Experience Cloud
being ai-driven
01Nov

Being AI-Driven

Imagine a company where every decision, strategy, customer interaction, and routine task is enhanced by AI. From predictive analytics uncovering market insights to intelligent automation streamlining operations, this AI-driven enterprise represents what a successful business could look like. Does this company exist? Not yet, but the building blocks for creating it are already here. To envision a day in the life of such an AI enterprise, let’s fast forward to the year 2028 and visit Tectonic 5.0, a fictional 37-year-old mid-sized company in Oklahoma that provides home maintenance services. After years of steady sales and profit growth, the 2,300-employee company has hit a rough patch. Tectonic 5.0’s revenue grew just 3% last year, and its 8% operating margin is well below the industry benchmark. To jumpstart growth, Tectonic 5.0 has expanded its product portfolio and decided to break into the more lucrative commercial real estate market. But Tectonic 5.0 needs to act fast. The firm must quickly bring its new offerings to market while boosting profitability by eliminating inefficiencies and fostering collaboration across teams. To achieve these goals, Tectonic 5.0 is relying on artificial intelligence (AI). Here’s how each department at Tectonic 5.0 is using AI to reach these objectives. Spot Inefficiencies with AI With a renewed focus on cost-cutting, Tectonic 5.0 needed to identify and eliminate inefficiencies throughout the company. To assist in this effort, the company developed a tool called Jenny, an AI agent that’s automatically invited to all meetings. Always listening and analyzing, Jenny spots problems and inefficiencies that might otherwise go unnoticed. For example, Jenny compares internal data against industry benchmarks and historical data, identifying opportunities for optimization based on patterns in spending and resource allocation. Suggestions for cost-cutting can be offered in real time during meetings or shared later in a synthesized summary. AI can also analyze how meeting time is spent, revealing if too much time is wasted on non-essential issues and suggesting ways to have more constructive meetings. It does this by comparing meeting summaries against the company’s broader objectives. Tectonic 5.0’s leaders hope that by highlighting inefficiencies and communication gaps with Jenny’s help, employees will be more inclined to take action. In fact, it has already shown considerable promise, with employees being five times more likely to consider cost-cutting measures suggested by Penny. Market More Effectively with AI With cost management underway, Tectonic 5.0’s next step in its transformation is finding new revenue sources. The company has adopted a two-pronged approach: introducing a new lineup of products and services for homeowners, including smart home technology, sustainable living solutions like solar panels, and predictive maintenance on big-ticket systems like internet-connected HVACs; and expanding into commercial real estate maintenance. Smart home technology is exactly what homeowners are looking for, but Tectonic 5.0 needs to market it to the right customers, at the right time, and in the right way. A marketing platform with built-in AI capabilities is essential for spreading the word quickly and effectively about its new products. To start, the company segments its audience using generative AI, allowing marketers to ask the system, in natural language, to identify tech-savvy homeowners between the ages of 30 and 60 who have spent a certain amount on home maintenance in the last 18 months. This enables more precise audience targeting and helps marketing teams bring products to market faster. Previously, segmentation using legacy systems could take weeks, with marketing teams relying on tech teams for an audience breakdown. Now, Tectonic 5.0 is ready to reach out to its targeted customers. Using predictive AI, it can optimize personalized marketing campaigns. For example, it can determine which customers prefer to be contacted by text, email, or phone, the best time of day to reach out, and how often. The system also identifies which messaging—focused on cost savings, environmental impact, or preventative maintenance—will resonate most with each customer. This intelligence helps Tectonic 5.0 reach the optimal customer quickly in a way that speaks to their specific needs and concerns. AI also enables marketers to monitor campaign performance for red flags like decreasing open rates or click-through rates and take appropriate action. Sell More, and Faster, with AI With interested buyers lined up, it’s now up to the sales team to close deals. Generative AI for sales, integrated into CRM, can speed up and personalize the sales process for Tectonic 5.0 in several ways. First, it can generate email copy tailored to products and services that customers are interested in. Tectonic 5.0’s sales reps can prompt AI to draft solar panel prospecting emails. To maximize effectiveness, the system pulls customer info from the CRM, uncovering which emails have performed well in the past. Second, AI speeds up data analysis. Sales reps spend a significant amount of time generating, pulling, and analyzing data. Generative AI can act like a digital assistant, uncovering patterns and relationships in CRM data almost instantaneously, guiding Tectonic 5.0’s reps toward high-value deals most likely to close. Machine learning increases the accuracy of lead scoring, predicting which customers are most likely to buy based on historical data and predictive analytics. Provide Better Customer Service with AI Tectonic 5.0’s new initiatives are progressing well. Costs are starting to decrease, and sales of its new products are growing faster than expected. However, customer service calls are rising as well. Tectonic 5.0 is committed to maintaining excellent customer service, but smart home technology presents unique challenges. It’s more complex than analog systems, and customers often need help with setup and use, raising the stakes for Tectonic 5.0’s customer service team. The company knows that customers have many choices in home maintenance providers, and one bad experience could drive them to a competitor. Tectonic 5.0’s embedded AI-powered chatbots help deliver a consistent and delightful autonomous customer service experience across channels and touchpoints. Beyond answering common questions, these chatbots can greet customers, serve up knowledge articles, and even dispatch a field technician if needed. In the field, technicians can quickly diagnose and fix problems thanks to LLMs like xGen-Small, which

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November 1, 2024in Generative AI
AI Agents, Tech's Next Big Bet
30Oct

Agentforce Platform to Revolutionize Autonomous AI Agents

Salesforce Launches Agentforce Platform to Revolutionize Autonomous AI Agents Salesforce has announced the general availability of Agentforce, a transformative platform that empowers businesses to create, test, and deploy autonomous AI agents seamlessly integrated into their Salesforce workflows. Key Features of Agentforce Agentforce combines cutting-edge technology with user-friendly design, enabling businesses to: The agents also suggest knowledge, actions, and guardrails to optimize performance, enhancing operational efficiency across customer service, sales, and other functions. Real-World Applications During Dreamforce 2024, Salesforce customers built over 10,000 AI Agents to support a wide range of industries and use cases, including: Revolutionizing AI in Business Agentforce represents a shift from generation-based AI to action-based AI, emphasizing solutions that actively drive business outcomes. Salesforce CEO Marc Benioff described the platform as a game-changer, stating: “Agentforce is redefining what’s possible, ushering in a new era of AI abundance and limitless workforces that augment every employee, build deeper customer relationships, and drive unprecedented growth and profitability.” Built on a Unified Salesforce Ecosystem Agentforce is fully integrated with Salesforce’s robust platform, offering seamless connections to enterprise data, metadata, AI models, workflows, security, and applications. The platform leverages Data Cloud, enabling AI Agents to access unified data and collaborate across Salesforce apps. This integration ensures businesses can scale AI capabilities across the entire customer experience ecosystem without the need for extensive customization. Support for Adoption and Growth Salesforce is rolling out several initiatives to support Agentforce users: Pricing starts at $2 per conversation, with volume discounts available. Empowering Nonprofits with Agents for Impact Salesforce is extending Agentforce’s potential through the Agents for Impact Accelerator, offering nonprofits resources to build customized AI agents. This initiative underscores Salesforce’s commitment to scaling AI’s community impact. Early Success and Adoption Leading organizations such as The Adecco Group, BACA Systems, OpenTable, Saks, and Wiley have already adopted Agentforce, leveraging it to streamline workflows and deliver impactful customer experiences. By bridging the gap between AI innovation and practical, risk-aware application, Salesforce positions Agentforce as a cornerstone of the next generation of AI-driven business solutions. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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October 30, 2024in Agentforce Platform, Data, Enterprise, Salesforce, Salesforce Foundations, Technology
Salesforce Connected Assets
28Oct

Salesforce Connected Assets

Salesforce has unveiled Connected Assets, a robust suite of capabilities in Manufacturing Cloud, designed to offer manufacturers a comprehensive, real-time perspective on connected asset data. This includes data on service history, asset status, customer records, and telematics, allowing manufacturers to monitor asset health and performance while proactively addressing maintenance needs to reduce downtime and boost customer satisfaction. Enhanced AI Capabilities for Connected AssetsConnected Assets integrates Salesforce’s advanced AI to empower teams with actionable insights. Sales, customer service, and field teams can now receive real-time alerts and quickly access asset history and health, enabling faster, data-driven support and the delivery of more personalized offers. AI-driven insights and recommendations based on asset condition, service history, and performance data enhance the ability of manufacturers to predict maintenance needs and provide proactive support, including on-site recommendations to field technicians. Innovative Features for Optimized Asset Management Salesforce PerspectiveAchyut Jajoo, SVP and GM of Manufacturing and Automotive, states, “The manufacturing industry is embracing a historic transformation toward AI-enabled modernization. Connected Assets and our sector-specific AI tools in Manufacturing Cloud empower our customers to lead with improved customer experiences, optimized asset performance, and new revenue-generating services. With Agentforce, our customers will soon be able to leverage autonomous agents to monitor connected asset data at scale, enabling them to focus on strategic, high-value initiatives.” Real-World ApplicationKawasaki Engines exemplifies Connected Assets in action, using Manufacturing Cloud to enhance customer relationships by offering proactive support and minimizing equipment downtime. “Salesforce’s Connected Assets will enable us to deliver exceptional service, keeping our customers satisfied and our products operating efficiently,” says Tony Gondick, Senior Manager of IT Business Strategy at Kawasaki Engines. Extending Across IndustriesBeyond Manufacturing Cloud, Connected Assets is also being introduced to Salesforce’s other industry clouds, such as Energy & Utilities, Communications, and Media, allowing a wide range of sectors to tap into the benefits of connected asset management, minimize downtime, and generate new value. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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October 28, 2024in Agentforce Platform, AI Tools, Data, Salesforce, Salesforce Development Services, Salesforce Health and Life Sciences Solutions, Salesforce Manufacturing Automotive Energy
Trends in AI for CRM
28Oct

Trends in AI for CRM

Nearly half of customer service teams, over 40% of salespeople, and a third of marketers have fully implemented artificial intelligence (AI) to enhance their work. However, 77% of business leaders report persistent challenges related to trusted data and ethical concerns that could stall their AI initiatives, according to Salesforce research released today. The Trends in AI for CRM report analyzed data from multiple studies, revealing that companies are worried about missing out on the opportunities generative AI presents if the data powering large language models (LLMs) isn’t rooted in their own trusted customer records. At the same time, respondents expressed ongoing concerns about the lack of clear company policies governing the ethical use of AI, as well as the complexity of a vendor landscape where 80% of enterprises are currently using multiple LLMs. Salesforce’s Four Keys to Enterprise AI Success Why it matters: AI is one of the most transformative technologies in generations, with projections forecasting a net gain of over trillion in new business revenues by 2028 from Salesforce and its network of partners alone. As enterprises across industries develop their AI strategies, leaders in customer-facing departments such as sales, service, and marketing are eager to leverage AI to drive internal efficiencies and revolutionize customer experiences. Key Findings from the Trends in AI for CRM Report Expert Perspective “This is a pivotal moment as business leaders across industries look to AI to unlock growth, efficiency, and customer loyalty,” said Clara Shih, CEO of Salesforce AI. “But success requires much more than an LLM. Enterprise deployments need trusted data, user access control, vector search, audit trails and citations, data masking, low-code builders, and seamless UI integration. Salesforce brings all of these components together with our Einstein 1 Platform, Data Cloud, Slack, and dozens of customizable, turnkey prompts and actions offered across our clouds.” Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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October 28, 2024in Einstein 1 Platform, Generative AI
Transform Customer Experience
25Oct

Transform Customer Experience

In today’s AI-driven business environment, customer experience (CX) has evolved from being a buzzword to a critical factor in determining success. It’s no longer enough for businesses to offer high-quality products or excellent service alone—today’s customers are always online, engaged, and seeking the most convenient, relevant, and enjoyable experiences. This is where Salesforce Data Cloud becomes a game-changer, providing the tools needed to meet modern customer expectations. Transforming Customer Experience with Salesforce Data Cloud Salesforce enables businesses to collect, integrate, and leverage critical customer information within its ecosystem, offering an all-encompassing view of each customer. This unified customer data allows organizations to forecast visitor trends, assess marketing impact, and predict customer behavior. As data-driven decision-making becomes increasingly central to business strategy, Salesforce Data Cloud and its Customer Data Platform (CDP) features provide a significant competitive edge—whether in e-commerce, fintech, or B2B industries. Data Cloud is more than just your traditional CDP. It’s the only data platform native to the world‘s #1 AI CRM. This means that marketers can quickly access and easily action on unified data – from across the entire business – to drive growth and increase customer lifetime value. Data Cloud’s Role in Enhancing CX By unifying data in one place, Salesforce Data Cloud enables organizations to access real-time customer insights. This empowers them to track customer activity across channels like email, social media, and online sales, facilitating targeted marketing strategies. Businesses can analyze customer behavior and deliver personalized messaging, aligning marketing, sales, and customer service efforts to ensure consistency. With these capabilities, Salesforce customers can elevate the CX by delivering the right content, at the right time, to the right audience, ultimately driving customer satisfaction and growth. New Features of Salesforce Data Cloud Salesforce continues to evolve, introducing cutting-edge features that reshape customer interaction: To fully maximize these features, partnering with a Salesforce Data Cloud consultant can help businesses unlock the platform’s full potential and refine their customer engagement strategies. Agentic AI Set to Supercharge Business Processes Salesforce’s vision extends beyond customer relationship management with the integration of Agentic AI through its Customer 360 platform. According to theCUBE Research analysts, this signals a shift toward using AI agents to automate complex business processes. These AI agents, built on Salesforce’s vast data resources, promise to revolutionize how companies operate, offering customized, AI-driven business tools. “If they can pull this off, where it becomes a more dynamic app platform, more personalized, really focused on those processes all the way back to the data, it’s going to be a clear win for them,” said Strechay. “They’re sitting on cloud; they’re sitting on IaaS. That’s a huge win from that perspective.” AI agents create a network of microservices that think and act independently, involving human intervention only when necessary. This division of labor allows businesses to capture expertise in routine tasks while freeing human workers to focus on more complex decision-making. However, the success of these AI agents depends on access to accurate and reliable data. As Gilbert explained, “Agents can call on other agents, and when they’re not confident of a step in a process or an outcome, they can then bounce up to an inbox for a human to supervise.” The goal isn’t to eliminate humans but to capture their expertise for simpler processes. Empowering Developers and Citizen Creators At the core of this AI-driven transformation is Salesforce’s focus on developers. The platform’s low-code tools allow businesses to easily customize AI agents and automate business processes, empowering both experienced developers and citizen creators. With simple language commands or goal-setting, companies can build and train these AI agents, streamlining operations. “It’s always going to be about good data—that’s the constant,” Bertrand said. “The second challenge is how to train agents and humans to work together effectively. While some entry-level jobs may be replaced, AI will continue to evolve, creating new opportunities in the future.” Is Salesforce Data Cloud the Right Fit for Your Business? Salesforce Data Cloud offers comprehensive capabilities for businesses of all sizes, but it’s essential to assess whether it aligns with your specific needs. The platform is particularly valuable for: For businesses that fit these scenarios, working with Salesforce’s partner ecosystem or a Data Cloud consultant can help ensure successful integration and optimization. What’s New in Salesforce’s Latest Release? The latest Salesforce Spring Release introduced several exciting features, further enhancing Salesforce Data Cloud: These updates reflect Salesforce’s commitment to providing innovative, data-driven solutions that enhance customer experiences and drive business success. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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October 25, 2024in AI Tools, Data, Generative AI, Salesforce, Salesforce Data Cloud
AI Innovation at Salesforce
24Oct

AI Innovation at Salesforce

AI innovation is advancing at an unprecedented pace, unlike anything I’ve seen in nearly 25 years at Salesforce. It’s now a top priority for every CEO, CTO, and CIO I speak with. As a trusted partner, we help customers innovate, iterate, and navigate the evolving AI landscape. They recognize AI’s immense potential to revolutionize every aspect of business, across all industries. While they’re already seeing significant advancements, we are still just scratching the surface of AI’s full transformational promise. They seek AI technologies that will enhance productivity, augment employee performance at scale, improve customer relationships, and ultimately drive rapid time to value and higher margins. That’s where our new Agentforce Platform comes in. Agentforce represents a breakthrough in AI, delivering on the promise of autonomous AI agents. These agents perform advanced planning and decision-making with minimal human input, automating entire workflows, making real-time decisions, and adapting to new information—all without requiring human intervention. Salesforce customers are embracing Agentforce and integrating it with other products, including Einstein AI, Data Cloud, Sales Cloud, and Service Cloud. Here are some exciting ways our customers are utilizing these tools: Strengthening Customer Relationships with AI Agents OpenTable is leveraging autonomous AI agents to handle the massive scale of its operations, supporting 60,000 restaurants and millions of diners. By piloting Agentforce for Service, they’ve automated common tasks like account reactivations, reservation management, and loyalty point expiration. The AI agents even answer complex follow-up questions, such as “when do my points expire in Mexico?”—a real “wow” moment for OpenTable. These agents are redefining how customers engage with companies. Wiley, an educational publisher, faces a seasonal surge in service requests each school year. By piloting Agentforce Service Agent, they increased case resolution by 40-50% and sped up new agent onboarding by 50%, outperforming their previous systems. Harnessing Data Insights The Adecco Group, a global leader in talent solutions, wanted to unlock insights from its vast data reserves. Using Data Cloud, they’re connecting multiple Salesforce instances to give 27,000 recruiters and sales staff real-time, 360-degree views of their operations. This empowers Adecco to improve job fill rates and streamline operations for some of the world’s largest companies. Workday, a Salesforce customer for nearly two decades, uses Service Cloud to power customer service and Slack for internal collaboration. Our new partnership with Workday will integrate Agentforce with their platform, creating a seamless employee experience across Salesforce, Slack, and Workday. This includes AI-powered employee service agents accessible across all platforms. Wyndham Resorts is transforming its guest experience by using Data Cloud to harmonize CRM data across Sales Cloud, Marketing Cloud, and Service Cloud. By consolidating their systems, Wyndham anticipates a 30% reduction in call resolution time and an overall enhanced customer experience through better access to accurate guest and property data. Empowering Employees Air India, with ambitions to capture 30% of India’s airline market, is using Data Cloud, Service Cloud, and Einstein AI to unify data across merged airlines and enhance customer service. Now, human agents spend more time with customers while AI handles routine tasks, resulting in faster resolution of 550,000 monthly service calls. Heathrow Airport is focused on improving employee efficiency and personalizing passenger experiences. Service Cloud and Einstein chatbots have significantly reduced call volumes, with chatbots answering 4,000 questions monthly. Since launching, live chat usage has surged 450%, and average call times have dropped 27%. These improvements have boosted Heathrow’s digital revenue by 30% since 2019. Driving Productivity and Margins Aston Martin sought to improve customer understanding and dealer collaboration. By adopting Data Cloud, they unified their customer data, reducing redundancy by 52% and transitioning from six data systems to one, streamlining operations. Autodesk, a leader in 3D design and engineering software, uses Einstein for Service to generate AI-driven case summaries, cutting the time spent summarizing customer chats by 63%. They also use Salesforce to enhance data security, reducing ongoing maintenance by 30%. Creating a Bright Future for Our Customers For over 25 years, Salesforce has guided customers through transformative technological shifts. The fusion of AI and human intelligence is the most profound shift we’ve seen, unlocking limitless potential for business success. Join them at Dreamforce next month, where we’ll celebrate customer achievements and share the latest innovations. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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October 24, 2024in Agentforce Platform

Cohesity Data Explore

Cohesity has introduced Data Explore, a new feature in its Gaia generative AI platform, aimed at simplifying data search within backups for any employee. The update, launched this week, adds keyword search capabilities and data visualization through topic word clouds, enhancing user access to valuable information. Previously, users could interact with Gaia’s conversational AI interface to ask questions about stored data. Data Explore now extends this by enabling users to browse frequent keywords within data sets and receive search suggestions to help refine their queries. This addition is particularly valuable for users who may not know exactly what to ask when exploring backup data. As part of the update, Gaia’s support for file storage systems has also expanded. Gaia now integrates with both on-premises and cloud-based file servers, such as Dell Technologies’ PowerScale and NetApp systems, in addition to existing support for Microsoft 365 services like Outlook, SharePoint, and OneDrive. This enhanced search functionality reflects a broader trend among backup vendors to deliver greater utility from stored data, according to Simon Robinson of TechTarget’s Enterprise Strategy Group. He noted that tools making data accessible to non-experts bring businesses closer to the goal of actionable insights. “You don’t need to be a corporate librarian to use this stuff,” Robinson said. Data Explore’s semantic indexing, similar to internet search engines, aids users by automatically surfacing keywords, questions, and suggestions, making backup data more searchable and actionable. According to Krista Case, an analyst at Futurum Group, this helps reduce AI hype by grounding Gaia in practical use cases, facilitating faster insights for end users. Since Gaia’s launch as a SaaS add-on for Cohesity Data Cloud, its features have evolved to offer deeper insights beyond simple chatbot interactions. Greg Statton, Cohesity’s VP of AI solutions, shared that the platform aims to be more than a support agent for backup queries. The vision is to provide advanced AI tools that enhance data discovery, flag abnormal events, and reduce alert fatigue, giving IT administrators actionable intelligence that is more contextually aware of their tasks. Ultimately, Cohesity’s Data Explore feature exemplifies generative AI’s potential in unlocking business value from backup data. By making this data accessible and understandable, Cohesity is helping organizations achieve the long-awaited promise of deriving value from stored data – a milestone Robinson believes backup vendors are now on the verge of realizing. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more Tectonic’s Successful Salesforce Track Record Salesforce Technology Services Integrator – Tectonic has successfully delivered Salesforce in a variety of industries including Public Sector, Hospitality, Manufacturing, Read more

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October 21, 2024in AI Tools, Data, Enterprise, Generative AI
AI Agent Revolution
19Oct

AI Customer Service Agents Explained

AI customer service agents are advanced technologies designed to understand and respond to customer inquiries within defined guidelines. These agents can handle both simple and complex issues, such as answering frequently asked questions or managing product returns, all while offering a personalized, conversational experience. Research shows that 82% of service representatives report that customers ask for more than they used to. As a customer service leader, you’re likely facing increasing pressure to meet these growing expectations while simultaneously reducing costs, speeding up service, and providing personalized, round-the-clock support. This is where AI customer service agents can make a significant impact. Here’s a closer look at how AI agents can enhance your organization’s service operations, improve customer experience, and boost overall productivity and efficiency. What Are AI Customer Service Agents? AI customer service agents are virtual assistants designed to interact with customers and support service operations. Utilizing machine learning and natural language processing (NLP), these agents are capable of handling a broad range of tasks, from answering basic inquiries to resolving complex issues — even managing multiple tasks at once. Importantly, AI agents continuously improve through self-learning. Why Are AI-Powered Customer Service Agents Important? AI-powered customer service technology is becoming essential for several reasons: Benefits of AI Customer Service Agents AI customer service agents help service teams manage growing service demands by taking on routine tasks and providing essential support. Key benefits include: Why Choose Agentforce Service Agent? If you’re considering adding AI customer service agents to your strategy, Agentforce Service Agent offers a comprehensive solution: By embracing AI customer service agents like Agentforce Service Agent, businesses can reduce costs, meet growing customer demands, and stay competitive in an ever-evolving global market. Like1 Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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October 19, 2024in Agentforce Platform, Data, Generative AI, Salesforce, Technology
Amazon DynamoDB to Salesforce Data Cloud
18Oct

Amazon DynamoDB to Salesforce Data Cloud

Ingesting Data from Amazon DynamoDB to Salesforce Data Cloud Salesforce Data Cloud serves as your organization’s digital command center, enabling real-time ingestion, unification, and activation of data from any source. By transforming scattered customer information into actionable insights, it empowers businesses to operate with unparalleled efficiency. Integrating Amazon DynamoDB with Salesforce Data Cloud exemplifies the platform’s capacity to unify and activate enterprise data seamlessly. Follow this step-by-step guide to ingest data from Amazon DynamoDB into Salesforce Data Cloud. Prerequisites Part 1: Amazon DynamoDB Setup 1. AWS Account Setup 2. Create a DynamoDB Table 3. Populate the Table with Data 4. Security Credentials Part 2: Salesforce Data Cloud Configuration 1. Creating the Data Connection 2. Configuring Data Streams Create a New Data Stream Configure the Data Model 3. Data Modeling and Mapping Custom Object Creation Conclusion After completing the setup: This integration underscores Salesforce Data Cloud’s role as a centralized hub, capable of harmonizing diverse data sources, ensuring real-time synchronization, and enabling actionable insights. By connecting Amazon DynamoDB, businesses can unlock the full potential of their data, driving better decision-making and customer experiences. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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October 18, 2024in Data, Enterprise, Salesforce, Salesforce Data Cloud
Third Wave of AI at Salesforce
16Oct

Third Wave of AI at Salesforce

The Third Wave of AI at Salesforce: How Agentforce is Transforming the Landscape At Dreamforce 2024, Salesforce unveiled several exciting innovations, with Agentforce taking center stage. This insight explores the key changes and enhancements designed to improve efficiency and elevate customer interactions. Introducing Agentforce Agentforce is a customizable AI agent builder that empowers organizations to create and manage autonomous agents for various business tasks. But what exactly is an agent? An agent is akin to a chatbot but goes beyond traditional capabilities. While typical chatbots are restricted to scripted responses and predefined questions, Agentforce agents leverage large language models (LLMs) and generative AI to comprehend customer inquiries contextually. This enables them to make independent decisions, whether processing requests or resolving issues using real-time data from your company’s customer relationship management (CRM) system. The Role of Atlas At the heart of Agentforce’s functionality lies the Atlas reasoning engine, which acts as the operational brain. Unlike standard assistive tools, Atlas is an agentic system with the autonomy to act on behalf of the user. Atlas formulates a plan based on necessary actions and can adjust that plan based on evaluations or new information. When it’s time to engage, Atlas knows which business processes to activate and connects with customers or employees via their preferred channels. This sophisticated approach allows Agentforce to significantly enhance operational efficiency. By automating routine inquiries, it frees up your team to focus on more complex tasks, delivering a smoother experience for both staff and customers. Speed to Value One of Agentforce’s standout features is its emphasis on rapid implementation. Many AI projects can be resource-intensive and take months or even years to launch. However, Agentforce enables quick deployment by leveraging existing Salesforce infrastructure, allowing organizations to implement solutions rapidly and with greater control. Salesforce also offers pre-built Agentforce agents tailored to specific business needs—such as Service Agent, Sales Development Representative Agent, Sales Coach, Personal Shopper Agent, and Campaign Agent—all customizable with the Agent Builder. Agentforce for Service and Sales will be generally available starting October 25, 2024, with certain elements of the Atlas Reasoning Engine rolling out in February 2025. Pricing begins at $2 per conversation, with volume discounts available. Transforming Customer Insights with Data Cloud and Marketing Cloud Dreamforce also highlighted enhancements to Data Cloud, Salesforce’s backbone for all cloud products. The platform now supports processing unstructured data, which constitutes up to 90% of company data often overlooked by traditional reporting systems. With new capabilities for analyzing various unstructured formats—like video, audio, sales demos, customer service calls, and voicemails—businesses can derive valuable insights and make informed decisions across Customer 360. Furthermore, Data Cloud One enables organizations to connect siloed Salesforce instances effortlessly, promoting seamless data sharing through a no-code, point-and-click setup. The newly announced Marketing Cloud Advanced edition serves as the “big sister” to Marketing Cloud Growth, equipping larger marketing teams with enhanced features like Path Experiment, which tests different content strategies across channels, and Einstein Engagement Scoring for deeper insights into customer behavior. Together, these enhancements empower companies to engage customers more meaningfully and measurably across all touchpoints. Empowering the Workforce Through Education Salesforce is committed to making AI accessible for all. They recently announced free instructor-led courses and AI certifications available through 2025, aimed at equipping the Salesforce community with essential AI and data management skills. To support this initiative, Salesforce is establishing AI centers in major cities, starting with London, to provide hands-on training and resources, fostering AI expertise. They also launched a global Agentforce World Tour to promote understanding and adoption of the new capabilities introduced at Dreamforce, featuring repackaged sessions from the conference and opportunities for specialists to answer questions. The Bottom Line What does this mean for businesses? With the rollout of Agentforce, along with enhancements to Data Cloud and Marketing Cloud, organizations can operate more efficiently and connect with customers in more meaningful ways. Coupled with a focus on education through free courses and global outreach, getting on board has never been easier. If you’d like to discuss how we can help your business maximize its potential with Salesforce through data and AI, connect with us and schedule a meeting with our team. Legacy systems can create significant gaps between operations and employee needs, slowing lead processes and resulting in siloed, out-of-sync data that hampers business efficiency. Responding to inquiries within five minutes offers a 75% chance of converting leads into customers, emphasizing the need for rapid, effective marketing responses. Salesforce aims to help customers strengthen relationships, enhance productivity, and boost margins through its premier AI CRM for sales, service, marketing, and commerce, while also achieving these goals internally. Recognizing the complexity of its decade-old processes, including lead assignment across three systems and 2 million lines of custom code, Salesforce took on the role of “customer zero,” leveraging Data Cloud to create a unified view of customers known as the “Customer 360 Truth Profile.” This consolidation of disparate data laid the groundwork for enterprise-wide AI and automation, improving marketing automation and reducing lead time by 98%. As Michael Andrew, SVP of Marketing Decision Science at Salesforce, noted, this initiative enabled the company to provide high-quality leads to its sales team with enriched data and AI scoring while accelerating time to market and enhancing data quality. Embracing Customer Zero “Almost exactly a year ago, we set out with a beginner’s mind to transform our lead automation process with a solution that would send the best leads to the right sales teams within minutes of capturing their data and support us for the next decade,” said Andrew. The initial success metric was “speed to lead,” aiming to reduce the handoff time from 20 minutes to less than one minute. The focus was also on integrating customer and lead data to develop a more comprehensive 360-degree profile for each prospect, enhancing lead assignment and sales rep productivity. Another objective was to boost business agility by cutting the average time to implement assignment changes from four weeks to mere days. Accelerating Success with

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October 16, 2024in Data, Enterprise, Generative AI, Google, Google Analytics, Marketing Automation, Salesforce
Battle of Copilots
14Oct

Battle of Copilots

Salesforce is directly challenging Microsoft in the growing battle of AI copilots, which are designed to enhance customer experience (CX) across key business functions like sales and support. In this competitive landscape, Salesforce is taking on not only Microsoft but also major AI rivals such as Google Gemini, OpenAI GPT, and IBM watsonx. At the heart of this strategy is Salesforce Agentforce, a platform that leverages autonomous decision-making to meet enterprise demands for data and AI abstraction. Salesforce Dreamforce Highlights One of the most significant takeaways from last month’s Dreamforce conference in San Francisco was the unveiling of autonomous agents, bringing advanced GenAI capabilities to the app development process. CEO Marc Benioff and other Salesforce executives made it clear that Salesforce is positioning itself to compete with Microsoft’s Copilot, rebranding and advancing its own AI assistant, previously known as Einstein AI. Microsoft’s stronghold, however, lies in Copilot’s seamless integration with widely used products like Teams, Outlook, PowerPoint, and Word. Furthermore, Microsoft has established itself as a developer’s favorite, especially with GitHub Copilot and the Azure portfolio, which are integral to app modernization in many enterprises. “Salesforce faces an uphill battle in capturing market share from these established players,” says Charlotte Dunlap, Research Director at GlobalData. “Salesforce’s best chance lies in highlighting the autonomous capabilities of Agentforce—enabling businesses to automate more processes, moving beyond basic chatbot functions, and delivering a personalized customer experience.” This emphasis on autonomy is vital, given that many enterprises are still grappling with the complexities of emerging GenAI technologies. Dunlap points out that DevOps teams are struggling to find third-party expertise that understands how GenAI fits within existing IT systems, particularly around security and governance concerns. Salesforce’s focus on automation, combined with the integration prowess of MuleSoft, positions it as a key player in making GenAI tools more accessible and intuitive for businesses. Elevating AI Abstraction and Automation Salesforce has increasingly focused on the idea of abstracting data and AI, exemplified by its Data Cloud and low-level UI capabilities. Now, with models like the Atlas Reasoning Engine, Salesforce is looking to push beyond traditional AI assistants. These tools are designed to automate complex, previously human-dependent tasks, spanning functions like sales, service, and marketing. Simplifying the Developer Experience The true measure of Salesforce’s success in its GenAI strategy will emerge in the coming months. The company is well aware that its ability to simplify the developer experience is critical. Enterprises are looking for more than just AI innovation—they want thought leadership that can help secure budget and executive support for AI initiatives. Many companies report ongoing struggles in gaining that internal buy-in, further underscoring the importance of strong, strategic partnerships with technology providers like Salesforce. In its pursuit to rival Microsoft Copilot, Salesforce’s future hinges on how effectively it can build on its track record of simplifying the developer experience while promoting the unique autonomous qualities of Agentforce. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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October 14, 2024in AI Tools, Data, Enterprise, Google, Mulesoft, Salesforce, Salesforce Copilots, Salesforce Optimization, Technology
Einstein Copilot for Healthcare
13Oct

Einstein Copilot for Healthcare

Einstein Copilot for Healthcare – Salesforce has introduced a new AI-powered healthcare assistant within its CRM system, marking its latest move to expand into the healthcare industry. As AI development accelerates, tech giants like Microsoft, Google, Amazon Web Services, and Salesforce are capitalizing on the opportunity to integrate AI and cloud technologies into healthcare to streamline administrative and operational tasks. Salesforce’s healthcare-specific AI tool, Einstein Copilot, is a conversational assistant that leverages an organization’s private data to provide relevant responses. Einstein Copilot enables healthcare providers and care teams to digitally capture and summarize information from both clinical and nonclinical sources, update patient records, and automate manual workflows. Key Features of Einstein Copilot Providers can use Einstein Copilot to generate patient summaries that include medications, diagnoses, social determinants, assessments, clinical service requests, and care gaps. A care manager can also ask the assistant to find an in-network provider based on location, specialty, and insurance coverage, and auto-fill referral forms using natural language prompts. The AI assistant can also trigger workflows for tasks such as sending referrals, scheduling appointments, and updating care plans. Salesforce expects Einstein Copilot to be HIPAA-compliant by summer 2024, with Copilot: Health Actions slated for general availability in winter 2024. Digitizing Health Assessments Salesforce is adding a feature called Assessment Generation that allows healthcare organizations to digitize standardized health assessments. These can be automatically populated into Salesforce Health Cloud, filled out electronically, and tracked for progress over time. Reducing Administrative Waste Salesforce cites research from McKinsey & Co. showing that administrative costs account for nearly a quarter of U.S. healthcare spending, with a potential savings of up to $320 billion. By integrating AI and CRM tools, Salesforce aims to reduce the operational burden on healthcare providers and improve patient outcomes. Amit Khanna, Senior Vice President and General Manager for Health at Salesforce, highlighted the value of these innovations: “These new data, AI, and CRM features reduce the administrative and operational burden for healthcare providers, leading to better outcomes for patients. With Salesforce’s trusted AI, healthcare organizations excited about generative AI—but wary of clinical and security concerns—can confidently integrate these innovations into their workflows.” Early Adopters and Impact Healthcare providers including Baptist Health South Florida and HarmonyCares are already leveraging Salesforce to personalize patient interactions and create unified patient views. HarmonyCares, which operates across 14 states with over 150 primary care providers, has used Salesforce’s AI-driven field service platform to streamline patient scheduling. The company reported a 50% increase in self-scheduling efficiency since adopting the platform and plans to expand its use of Salesforce Health Cloud for care management and engagement. Kristin Darby, Chief Information Officer at HarmonyCares, emphasized the benefits of AI in healthcare: “AI will dramatically improve our ability to quickly synthesize patient needs and preferences, enabling us to offer a more personalized experience with greater accuracy.” However, the integration of AI in healthcare is not without skepticism. A recent survey revealed that 69% of individuals are uncomfortable with AI being used to diagnose them, though more than half are open to its use in nonclinical tasks like scheduling and billing. Salesforce’s Healthcare Journey Salesforce first launched Health Cloud in 2015 to help providers manage patients by aggregating data from electronic medical records, devices, and wearables. In 2022, the company expanded this offering with Customer 360 for Health, a unified platform that combines real-time data from Data Cloud, Einstein AI, and automation tools like Flow to streamline processes such as prior authorizations, intake, and patient scheduling. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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October 13, 2024in Generative AI, Salesforce Einstein, Salesforce Health and Life Sciences Solutions, Salesforce Health Cloud, Salesforce Optimization
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