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UK Leading AI’s Third Wave
13Dec

UK Leading AI’s Third Wave

The UK Leading AI’s Third Wave: Insights from Salesforce’s AI Readiness Index Salesforce’s latest UK AI Readiness Index positions the UK as a frontrunner in the third wave of AI innovation, particularly in agentic AI—autonomous systems capable of decision-making and action. This comes as nations globally compete for leadership in AI development, with significant implications for economic growth, national security, and technological sovereignty. UK’s AI Readiness Exceeds G7 Averages The index reveals that the UK’s overall readiness score is 65.5, outpacing the G7 average of 61.2. Both government and business sectors outperform their peers, reflecting a robust environment for innovation. Zahra Bahrololoumi, CBE, UKI CEO of Salesforce, highlights the transformative potential of this technology, stating: “Agentic AI is revolutionising enterprise software by enabling seamless collaboration between humans and AI agents, driving customer success. The UK AI Readiness Index affirms the UK’s vision and infrastructure to lead globally in this new wave of innovation.” Driving Forces Behind UK’s Leadership The UK’s strength lies in its holistic approach to AI development, integrating: Minister for AI and Digital Government, Feryal Clark, notes: “These findings are proof that the UK is primed to leverage AI’s potential, showcasing our strength in fostering innovation, investment, and collaboration across sectors.” AI in Action: Transforming UK Businesses Salesforce’s Agentforce platform is helping UK organisations capitalise on AI’s potential. Leading companies such as Capita, Heathrow Airport, and Bionic have reported significant productivity gains: The Road Ahead: Maintaining Leadership The report outlines key priorities for sustaining the UK’s position: Salesforce’s commitment to the UK includes a $4 billion investment over five years and the opening of its AI Centre in London, aimed at training developers and administrators in cutting-edge AI technologies. What the Experts Say Antony Walker, Deputy CEO of techUK, remarks: “The Salesforce UK AI Readiness Index highlights the UK’s strong position to lead the next wave of AI innovation. By supporting SMEs, investing in skills, and ensuring flexible regulation, the UK can solidify its global AI leadership.” Paul O’Sullivan, UKI CTO and SVP Solution Engineering at Salesforce, reinforces the urgency: “We are in the third wave of AI—an autonomous age moving at unprecedented speed. The UK has a unique opportunity to lead, but this requires sustained focus on skills, innovation, and collaboration.” Conclusion As the AI revolution accelerates, the UK’s leadership in agentic AI positions it as a global AI powerhouse. By balancing innovation with responsibility and investing in infrastructure and talent, the UK is not just adapting to AI’s future but shaping it. Salesforce’s AI initiatives, including its Agentforce platform and London AI Centre, ensure the UK remains at the forefront of this transformational journey. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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December 13, 2024in Agentforce Platform, AI Tools, Enterprise, Salesforce, Technology0 Comments
Nature Tech Alliance
11Dec

The Nature Tech Revolution

The Nature Tech Revolution: From “Do No Harm” to “Nature-Positive” In January, ERM, Salesforce, Planet, and NatureMetrics launched the NatureTech Alliance at the World Economic Forum in Davos. The Alliance’s mission is clear: empower companies to leverage advanced data and technology to address pressing nature-related challenges. This integrated effort focuses on: After engaging with clients in early 2024, the Alliance identified recurring challenges across value chains. Through interviews with industry leaders, it uncovered actionable insights into corporate efforts to overcome these hurdles. Seven key takeaways highlight the obstacles and opportunities for effective nature-positive strategies. Seven Key Insights for Corporate Nature Action 1. Nature Risk is Both Global and Highly Local Nature-related risks, such as water scarcity or biodiversity loss, vary significantly by region. However, many companies rely on coarse, global data that overlooks critical local nuances like community-level resource usage or ecosystem dynamics. This mismatch creates blind spots that can hinder decision-making, disrupt operations, or lead to regulatory non-compliance. 2. Nature Risk Lacks Integration with Enterprise Strategy Nature-related risks often remain siloed from broader enterprise risk frameworks, despite deep ties to issues like climate change. For instance, deforestation exacerbates biodiversity loss and water stress while releasing carbon into the atmosphere. Integrating nature data into strategic planning is essential for resilience and sustainable performance. 3. Gaps in Understanding Hinder Progress Corporate decision-makers and investors frequently struggle to interpret complex nature-related data, slowing the adoption of nature-positive strategies. Bridging this gap with accessible tools and clear communication is critical to driving meaningful action. 4. A Shift from “Do No Harm” to “Net Positive” Businesses are evolving from mitigating harm (e.g., reducing deforestation) to pursuing net-positive outcomes, such as reforestation or ecosystem restoration. While promising, many of these efforts remain in pilot phases due to challenges in site-level data and measuring impacts. 5. Financial Institutions Lag but Hold Scaling Potential The financial sector trails industries like agriculture in incorporating nature-related data into decision-making. However, as institutions recognize risks like biodiversity loss and soil degradation, they are poised to influence capital flows and set new standards for nature-positive investments. 6. The Future Lies in Outcome-Based Metrics Companies are shifting from input-based metrics (e.g., reduced fertilizer use) to measuring real-world outcomes for biodiversity and ecosystem health. Outcome-based metrics offer better clarity on environmental impacts and link corporate actions to business value. However, challenges like standardized methodologies and reliable data collection persist. 7. Data Fragmentation, Not Technology, is the Biggest Barrier Although technologies like AI and remote sensing are widely available, fragmented and inconsistent data remains a significant hurdle. Many organizations collect localized data but struggle to integrate it across supply chains and operations. Advanced platforms that consolidate disparate datasets are critical for actionable insights. A Shared Vision for Nature-Positive Solutions The NatureTech Alliance envisions a transformative approach to addressing these challenges, built on five pillars: Achieving a Nature-Positive Future By aligning corporate strategies with these principles, businesses can move beyond “do no harm” to actively restoring ecosystems and driving nature-positive outcomes. This transition requires advanced tools, collaboration, and a commitment to measurable impact—paving the way for a more sustainable and resilient future. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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December 11, 2024in Data, Enterprise, Salesforce, Technology0 Comments
Agentforce Testing Tool
11Dec

Agentforce Testing Tool

Salesforce Unveils Agentforce Testing Center: A Breakthrough in AI Agent Lifecycle Management Salesforce, the global leader in AI-powered CRM solutions, has announced the Agentforce Testing Center, a first-of-its-kind platform for managing the lifecycle of autonomous AI agents. This innovative solution enables organizations to test AI agents at scale, leveraging synthetic data in secure environments, while ensuring accurate performance and robust monitoring. Designed to meet the unique demands of deploying intelligent AI agents, the Agentforce Testing Center introduces new tools to test, prototype, and optimize AI agents without disrupting live production systems. Core Features of the Agentforce Testing Center Why It Matters Autonomous AI agents represent a paradigm shift in enterprise software, capable of reasoning, retrieving data, and acting on behalf of users. However, ensuring their reliability and trustworthiness requires a robust testing framework that eliminates risks to live systems. The Agentforce Testing Center addresses these challenges by combining: “Agentforce is helping businesses create a limitless workforce,” said Adam Evans, EVP and GM for Salesforce AI Platform. “To deliver this value quickly, CIOs need advanced tools for testing and monitoring autonomous systems. Agentforce Testing Center provides the necessary framework for secure, repeatable deployment.” Customer and Analyst Perspectives Shree Reddy, CIO, PenFed:“With nearly 3 million members, PenFed is dedicated to providing personalized, efficient service. Using Data Cloud Sandboxes, we’re able to test and refine AI agents, ensuring they deliver fast, accurate support that aligns with our members’ financial goals.” Keith Kirkpatrick, Research Director, The Futurum Group:“To instill trust in AI, businesses must rigorously test autonomous agents. Salesforce’s Testing Center enables confidence by simulating hundreds of interaction scenarios, helping organizations deploy AI agents securely and effectively.” Availability A Competitive Edge in AI Lifecycle Management Salesforce’s Agentforce Testing Center sets a new industry standard for testing and deploying AI agents at scale. By providing a secure, scalable, and transparent solution, Salesforce enables businesses to embrace an “agent-first” approach with confidence. As enterprises continue adopting AI, tools like the Agentforce Testing Center will play a critical role in accelerating innovation while maintaining trust and reliability. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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December 11, 2024in Agentforce Platform, Data, Enterprise, Salesforce0 Comments
Clippy-gate
10Dec

Clippy-gate

Clippy-gate: Why Salesforce vs. Microsoft is More Than a Marketing Spat Salesforce and Microsoft are clashing once again, this time over AI and intelligent agents. What started as a seemingly lighthearted joke by Salesforce CEO Marc Benioff at Dreamforce—mocking Microsoft’s Copilot as a “Clippy 2.0″—has escalated into a significant dispute. This confrontation extends beyond the typical vendor rivalry, touching on enterprise AI’s future and its implications for businesses. A History of Rivalry Salesforce and Microsoft have a long history of competition. Past disputes included lawsuits and marketing stunts, such as Microsoft’s ill-fated 2010 Dreamforce gimmick involving a “defecting” Salesforce customer. While the two companies briefly found common ground under Microsoft CEO Satya Nadella, this détente dissolved amidst antitrust challenges over Microsoft’s LinkedIn acquisition and an aborted attempt to acquire Salesforce. Benioff has since reverted to openly criticizing Microsoft. The latest round of hostilities centers on Microsoft’s announcement of ten AI agents for Dynamics 365, coinciding with the release of Salesforce’s Agentforce. Benioff has doubled down, accusing Microsoft of overhyping Copilot and failing to meet enterprise AI standards. Benioff’s Allegations Benioff’s critiques have been relentless. He has accused Microsoft of misleading customers about AI capabilities, claiming that Copilot “spews data all over the floor” and lacks the security, metadata, and integration necessary for enterprise use. On social media, he dismissed Copilot as “panic mode” rebranding, contrasting it with Agentforce, which he describes as a transformative platform integrated with enterprise data and workflows. Microsoft’s Position Microsoft has largely refrained from engaging directly. Nadella, during a European AI tour, promoted Copilot as “the UI for AI,” positioning it as the interface to a broader AI ecosystem. However, his remarks avoided addressing Benioff’s criticisms, leaving Salesforce’s claims unanswered. Implications for Enterprise AI This debate highlights critical issues for businesses adopting AI technologies. While Salesforce has emphasized pragmatism, acknowledging AI’s uncertainties, Microsoft’s perceived lack of response risks leaving questions unanswered. The stakes are high, with both companies vying for leadership in a rapidly evolving market. What’s Next? How Microsoft responds—or doesn’t—will shape this rivalry’s trajectory. A direct rebuttal could clarify its AI vision, but staying silent risks ceding thought leadership to Salesforce. For businesses navigating the complexities of enterprise AI, understanding these dynamics is essential to making informed decisions. As the AI landscape unfolds, this conflict underscores the competitive importance of securing trust and demonstrating actionable value. For now, the war of words is as much about shaping perceptions as it is about delivering results. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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December 10, 2024in Data, Enterprise, Laws, Salesforce0 Comments
Demandbase Brings Intent Data to Salesforce Prospecting Center
10Dec

Demandbase Brings Intent Data to Salesforce Prospecting Center

Demandbase Brings Intent Data to Salesforce Prospecting Center, Empowering B2B Sales Teams Demandbase, the leading account-based go-to-market (GTM) platform for B2B enterprises, has partnered with Salesforce to integrate its industry-leading intent data into the Salesforce Sales Cloud Prospecting Center. Leveraging insights derived from over one trillion monthly interactions and 36 billion B2B site visits, this integration empowers sales teams to identify and prioritize accounts most likely to be in-market for their products. With Demandbase’s intent data embedded seamlessly into the Salesforce Prospecting Center, users gain access to an intuitive, customizable interface, enabling go-to-market teams to make data-driven decisions with greater precision and efficiency. “We’re thrilled to deepen our partnership with Salesforce and deliver even more value to our shared customers,” said Michael Wilczak, Chief Strategy & Development Officer at Demandbase. “By embedding our intent data directly into the Salesforce Prospecting Center, we’re enabling sales teams to target the most promising leads, boosting their productivity and success rates. This integration helps our customers maintain laser focus on accounts that are actively signaling buying intent, ultimately driving better outcomes—all within their existing Salesforce environment.” Key Features of the Intent Score Integration “By integrating Demandbase’s Intent Score into the Salesforce Prospecting Center, sales teams can take immediate action to identify and prioritize their next best customers,” said Pawan Kumar Adda, Senior Director of Sales Cloud Product Management at Salesforce. “This empowers sellers to focus on accounts with the highest likelihood of conversion, optimizing their efforts and boosting overall productivity.” The Intent Score feature, unveiled at Dreamforce ‘24, became available to Salesforce customers with Unlimited Edition or higher Sales Cloud subscriptions in October 2024. To learn more about how Intent Score can enhance your GTM strategy, visit the Salesforce Sales Engagement product page. Salesforce, Sales Cloud, Data Cloud, Dreamforce, and other marks are trademarks of Salesforce, Inc. About Demandbase Demandbase is the leading account-based GTM platform for B2B enterprises, enabling teams to identify and engage the right customers with precision. Powered by unified intent data, AI-driven insights, and actionable recommendations, Demandbase helps organizations align their GTM efforts, maximize revenue, and streamline technology stacks. Thousands of companies rely on Demandbase to execute scalable, data-driven strategies. Learn more at www.demandbase.com. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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December 10, 2024in Data, Enterprise, Salesforce, Salesforce Data Cloud, Salesforce Sales Cloud, Technology0 Comments
Salesforce Heroku
09Dec

Salesforce Modernizes Heroku

Salesforce Modernizes Heroku PaaS with Kubernetes, .NET, and More Salesforce is rolling out a significant upgrade to Heroku, its popular Platform-as-a-Service (PaaS), to better align with modern developer needs. Key enhancements include support for Amazon Elastic Container Registry (ECR), AWS Global Accelerator, Elastic Kubernetes Service (EKS), AWS Graviton processors, and AWS Bedrock. The revamped platform, dubbed the Heroku Next Generation Platform, was unveiled at the AWS Re:Invent 2024 conference. While some features are in public beta, Salesforce plans to fully release additional capabilities by 2025. Catering to the Modern DeveloperHeroku’s overhaul reflects the growing dominance of Kubernetes and the increasing demand for AI-enabled applications, including autonomous ones built in Salesforce’s Agentforce. Rebecca Wettemann, founder of Valoir, notes that these trends required Salesforce to evolve Heroku to remain competitive in the PaaS market. Kubernetes, for instance, is widely used for app containerization across clouds, while AI applications are becoming a focal point for many developers. “The update broadens Heroku’s appeal to developers who rely on Kubernetes or are building AI applications,” Wettemann said. Another notable addition is support for open telemetry, a standardized approach to monitoring app performance. Developers can now stream real-time metrics such as app health and container logs into their preferred visualization tools. “This integration offers unparalleled flexibility for our customers to work with a wide ecosystem of telemetry collectors,” said Gail Frederick, Heroku’s CTO at Salesforce. Introducing .NET SupportOne of the standout updates is the inclusion of .NET, a widely used open-source framework. Developers can now use .NET languages such as C#, F#, and Visual Basic alongside Heroku’s existing support for languages like Python, Ruby, Java, Node.js, and Scala. This strategic move aligns Heroku with a broader audience, especially developers familiar with Microsoft’s ecosystem. “Heroku is all about developer choice,” said Frederick. “Adding .NET ensures we continue to serve diverse needs.” Streamlining Development and DeploymentHeroku aims to simplify app development by automating infrastructure management and lifecycle tasks. “Heroku is the platform developers turn to when they need things to work without thinking about infrastructure,” said Adam Zimman, Senior Director of Product Marketing at Heroku. The platform abstracts complex deployment steps, such as configuration, provisioning, and autoscaling, enabling developers to focus on coding and innovation. Apps are deployed as pre-packaged “slugs” that run on Heroku’s dynos, isolated Unix-based containers. Developers can scale their apps dynamically by adding or removing dynos via the platform’s management interface. Efficiency Gains for BusinessesZimman highlighted the efficiency benefits of Heroku’s approach, projecting up to a 40% boost in developer productivity and a 30% reduction in developer expenses. “By taking care of the heavy lifting, we enable businesses to deliver applications faster and more cost-effectively,” he explained. Heroku also offers over 500 pre-built add-ons and build packs, covering functions like messaging, database management, and email services. These integrations provide additional flexibility and speed up the development lifecycle. Scaling Beyond StartupsWhile Heroku is often associated with startups, Salesforce has scaled the platform to accommodate enterprise-grade applications. “Heroku now evolves with your business,” said Chris Peterson, Senior Director of Product Management at Heroku. The platform has powered over 13 million applications and 38 million managed data stores since its launch in 2007. Many Salesforce applications also run on Heroku, leveraging deep integrations to extend the Salesforce ecosystem seamlessly. Heroku’s pricing starts at $7 per month for a basic plan and scales up to $40,000 per month for enterprise-grade solutions, ensuring it meets the needs of organizations of all sizes. With these updates, Heroku continues to position itself as a go-to platform for developers, enabling faster time-to-market, reduced operational complexity, and a better overall development experience. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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December 9, 2024in Data, Enterprise0 Comments
agentforce testing center
08Dec

Agentforce Testing Center

Salesforce has launched the Agentforce Testing Center, a groundbreaking tool for testing, deploying, and managing AI agents at scale. This innovative platform uses synthetically generated data to ensure AI agents perform accurate actions and deliver precise responses while providing comprehensive monitoring of usage and feedback. A New Era of AI Testing The Agentforce Testing Center operates within Salesforce’s enterprise-grade platform, integrated seamlessly with Data Cloud. It introduces no-code tools that allow organizations to test AI agents securely in sandbox environments, ensuring minimal risk to live production systems. By enabling robust testing and optimization, this tool helps businesses confidently deploy AI agents tailored to their needs. According to Adam Evans, EVP and GM for the Salesforce AI Platform, the Agentforce Testing Center is a critical tool for modern enterprises: “Agentforce is helping businesses create a limitless workforce. CIOs need tools for testing and monitoring agentic systems. This offering marks the next evolution of lifecycle management, enabling businesses to deploy trusted AI agents in a secure, repeatable way.” Key Capabilities of the Agentforce Testing Center Industry Implications Keith Kirkpatrick, Research Director at The Futurum Group, emphasized the importance of this offering: “To build trust in AI, businesses need robust tools to pressure test autonomous agents. Salesforce’s Testing Center delivers this capability, ensuring AI agents can reason, retrieve data, and adapt effectively.” Enhancing AI Agent Strategies The Agentforce Testing Center’s integration with Salesforce tools like DevOps Center and Change Sets further simplifies deployment workflows. Features like User Acceptance Testing (UAT) and real-time alerts in the Digital Wallet give teams deeper control and visibility into AI performance, ensuring business readiness before live deployment. As Salesforce continues to invest in AI innovation, including recent acquisitions to enhance Data Cloud security, the Agentforce Testing Center positions the CRM leader as a pioneer in responsible and scalable AI deployment. This offering exemplifies how businesses can create a “limitless workforce” while maintaining trust, transparency, and efficiency in AI operations. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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December 8, 2024in Agentforce Platform, Data, Enterprise, Salesforce0 Comments
07Dec

Ushering in the Era of AI-Driven Workforces

Agentforce: Ushering in the Era of AI-Driven Workforces “Agentforce is redefining what’s possible in business and beyond, 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.”— Marc Benioff, Salesforce CEO Key Features and Takeaways Out-of-the-Box AI Agents Agentforce introduces pre-built, customizable agents that are deployable with low-code or no-code tools, working tirelessly across any channel. Its first generally available solution, the Agentforce Service Agent, surpasses traditional chatbots by handling a diverse range of tasks—from simple inquiries to complex scenarios. Key capabilities include: Seamless Integration with Salesforce Platform Agentforce eliminates the complexity of building AI solutions from scratch. Unlike other platforms that demand intricate data integration and custom automation, Agentforce is fully embedded within the Salesforce ecosystem. With Agentforce, businesses can: Always-On Automation Agentforce operates independently of human intervention. Agents can be triggered by changes in data, predefined business rules, or pre-built automations, ensuring uninterrupted workflows. This blend of autonomous operation and human collaboration creates a symbiotic relationship between people and AI, enhancing productivity and customer satisfaction. A Competitive Edge in the AI Space Salesforce emphasizes that Agentforce goes beyond chatbots and copilots, setting a new benchmark for enterprise AI. In a strategic swipe at competitors, Marc Benioff likened rival offerings—like Microsoft’s Dynamics 365 AI agents—to “Clippy 2.0,” critiquing their inaccuracies and risks of corporate data leaks. By contrast, Agentforce builds on Salesforce’s proven Einstein AI platform, ensuring reliability, scalability, and secure integration. Redefining Customer Success Agentforce isn’t just about automation—it’s about driving outcomes. By enabling businesses to automate complex processes, deepen customer relationships, and scale operations, it paves the way for limitless growth in the age of AI. Ready to transform your workforce? With Agentforce, the future of AI-driven business is already 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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December 7, 2024in Agentforce Platform, Data, Enterprise, Mulesoft, Salesforce0 Comments

Microsoft Copilot as “Repackaged ChatGPT”

Salesforce CEO Marc Benioff Criticizes Microsoft Copilot as “Repackaged ChatGPT” Salesforce CEO Marc Benioff took aim at Microsoft’s Copilot AI offerings during Salesforce’s latest quarterly earnings call, dismissing them as a rebranding of OpenAI’s generative AI technology. “In many ways, it’s just repackaged ChatGPT,” Benioff asserted. He contrasted this with Salesforce’s platform, emphasizing its unique ability to operate an entire business. “You won’t find that capability on Microsoft’s website,” he added. Benioff highlighted Agentforce, Salesforce’s autonomous AI agent product, as a transformative force for both Salesforce and its customers. The tool, available on Salesforce’s support portal, is projected to manage up to half of the company’s annual support case volume. The portal currently handles over 60 million sessions and 2 million support cases annually. Agentforce Adoption and Partner Involvement Salesforce COO Brian Millham outlined the significant role of partners in driving Agentforce adoption. During the quarter, global partners were involved in 75% of Agentforce deals, including nine of Salesforce’s top 10 wins. More than 80,000 system integrators have completed Agentforce training, and numerous independent software vendors (ISVs) and technology partners are developing and selling AI agents. Millham pointed to Accenture as a notable example, leveraging Agentforce to enhance sales operations for its 52,000 global sellers. “Our partners are becoming agent-first enterprises themselves,” Millham said. Since its general availability on October 24, Agentforce has already secured 200 deals, with thousands more in the pipeline. Benioff described the tool as part of a broader shift toward digital labor, claiming, “Salesforce is now the largest supplier of digital labor.” Expanding Use Cases and Market Impact Agentforce, powered by Salesforce’s extensive data repository of 740,000 documents and 200–300 petabytes of information, supports diverse use cases, including resolving customer issues, qualifying leads, closing deals, and optimizing marketing campaigns. Salesforce has committed to hiring 1,000–2,000 additional salespeople to expand Agentforce adoption further. Benioff positioned Salesforce as the leading enterprise AI provider, citing its 2 trillion weekly transactions through its Einstein AI product. He claimed Salesforce’s unified codebase provides a competitive edge, unlike rival systems that run disparate applications, potentially limiting AI effectiveness. “This is a bold leap into the future of work,” Benioff said, “where AI agents collaborate with humans to revolutionize customer interactions.” AI Growth Across Salesforce Products AI-driven growth extended beyond Agentforce to other Salesforce products: Millham noted that AI-related $1 million+ deals more than tripled year over year. Financial Highlights For Q3 FY2024, Salesforce reported: Looking ahead, Salesforce expects Q4 revenue between $9.9 billion and $10.1 billion, representing 7%–9% year-over-year growth. The company raised its full fiscal year revenue guidance to .8– billion, an 8%–9% increase. Industry and Product Insights Salesforce’s growth was driven by its core clouds and subscription services, with health, life sciences, manufacturing, and automotive industries performing particularly well. However, retail and consumer goods saw slower growth. While subscription revenue for MuleSoft and Tableau decelerated, Salesforce’s broader portfolio continued to deliver robust performance. Benioff concluded by emphasizing the transformative potential of Salesforce’s AI ecosystem: “This is the next evolution of Salesforce—an intelligent, scalable technology that’s no longer tied to workforce growth.” Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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December 3, 2024in Data, Enterprise, Generative AI, Mulesoft, Salesforce, Technology0 Comments
essential sales invoice tips
30Nov

Essential Sales Invoice Tips

Clear, accurate sales invoices make the payment process straightforward, helping to reduce customer service inquiries and ensuring a smoother revenue lifecycle. By designing an invoicing process that balances organizational needs with customer convenience, businesses can increase both satisfaction and timely payments.

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November 30, 2024in Data, Enterprise, Salesforce, Salesforce Sales Cloud
AI Agents and Digital Transformation
28Nov

Inventing the Future of Agents

“The best way to predict the future is to invent it.” – Alan Kay, Computer Science PioneerOr, to channel Buzz Lightyear: “To infinity and beyond.” Inventing the Future of Agents The history of computing has always advanced in fits and starts, a pattern biologists call punctuated equilibrium. Revolutionary technologies emerge slowly—nurtured in research labs, garages, and the minds of visionaries—until the moment comes when a breakthrough shifts the axis of possibility. From there, a new paradigm takes shape, unleashing waves of innovation. Think of the Apple Macintosh, the iPhone, and Salesforce’s own Platform, which pioneered enterprise software-as-a-service (SaaS) and sparked an entirely new industry. Each of these milestones reshaped the way we live and work, setting the stage for even greater advances to come. Alan Kay: A Visionary for Computing’s Future One such paradigm-shifter was Alan Kay. In 1971, while working at Xerox PARC, Kay was immersed in an era when computers were room-sized behemoths. At the time, only four of these machines were connected to the fledgling ARPAnet, a precursor to today’s internet. Kay, a skilled musician with a deep appreciation for human-centered design, brought an empathetic and humanistic approach to innovation. In 1972, he introduced the Dynabook—a radical vision for personal computing that was decades ahead of its time. The Dynabook concept featured a battery-powered laptop with a touchscreen, wireless access to global information, and an interface so simple even children could use it. Kay and his team at PARC went on to develop many of the foundational elements of modern personal computing: overlapping windows, graphical user interfaces, and object-oriented programming. Later, while at Apple, Kay helped shape the vision for the groundbreaking 1987 Apple Knowledge Navigator video, which anticipated today’s iPad and iPhone. Agents and Humans: Driving Success Together Fast-forward to today, and we are on the cusp of another technological leap forward: AI agents. Much like Kay’s vision of personal computing, the emergence of intelligent, autonomous agents signals a new chapter in how humans and technology work together. Agentforce: Bringing the Future to the Present This interplay between visionary ideas and emerging technologies was on full display with the launch of Agentforce at Dreamforce 2024. A year earlier, at Dreamforce 2023, Salesforce Futures debuted its Salesforce 2030 film, drawing inspiration from Apple’s Knowledge Navigator. The film offered a glimpse into a world where humans collaborate seamlessly with autonomous AI agents—an aspirational vision of business transformed. Since then, the imagination gap between fiction and reality has narrowed. Salesforce’s work in Agentforce and publications like Personal AI Agents and Agents at Work have explored how agents are already changing business as we know it. These tools are bringing science fiction to life, enabling businesses to achieve unprecedented levels of efficiency, creativity, and success. A New Paradigm in Progress Like the Macintosh, the iPhone, or the Salesforce Platform, the rise of AI agents represents another transformative moment in computing history. By combining vision with technological breakthroughs, we are witnessing the dawn of a new era—one where humans and AI agents work together to push the boundaries of what’s possible. Alan Kay’s timeless wisdom rings true: the future isn’t something we wait for—it’s something we invent. With Agentforce, that future is already here. Inventing the Future of Agents. Are you ready to start Inventing the Future of Agents? 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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November 28, 2024in Enterprise, Salesforce, Technology
Agentforce to the Team
27Nov

Salesforce has officially launched Agentforce

Agentforce goes beyond traditional chatbots and copilots, leveraging advanced reasoning to perform tasks like resolving customer issues, qualifying leads, and optimizing marketing campaigns—all without human intervention. Triggered by data changes, business rules, automations, or API signals, Agentforce executes actions independently. Companies like OpenTable, Saks, and Wiley are already harnessing Agentforce to enhance employee productivity, expand their workforce, and elevate customer experiences.

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November 27, 2024in Data, Enterprise, Mulesoft, Salesforce

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