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Google Prepares AI-Powered Jarvis Agent
18Dec

Google Prepares AI-Powered Jarvis Agent

Google Prepares AI-Powered Jarvis Agent for Automated Browser Tasks in Chrome Google is reportedly gearing up to launch “Project Jarvis,” an AI-powered browser agent designed to automate tasks directly within the Chrome ecosystem. According to The Information, the tool is expected to roll out in December to select users and will leverage Google’s advanced Gemini 2.0 AI model. Jarvis aims to simplify repetitive online tasks, such as organizing information or booking reservations, offering a seamless and efficient digital assistant embedded within Chrome. This initiative reflects Google’s broader vision to enhance user experiences by automating web-based routines, making its browser a central hub for task automation. Anthropic Expands Desktop Automation with Claude 3.5 Sonnet Anthropic, a key player in the AI landscape, has advanced its Claude 3.5 model with a new “Computer Use” feature, enabling direct interaction with a user’s desktop. This update allows Claude to perform tasks such as typing, clicking, and managing multiple applications, making it a powerful tool for automating workflows like data entry, document management, and customer service. Available through APIs and platforms like Amazon Bedrock and Google Cloud’s Vertex AI, Claude’s new capabilities position it as a versatile solution for businesses seeking desktop-level automation, contrasting Google Jarvis’s browser-specific approach. By interpreting screen elements, Claude’s “Computer Use” mode supports broader applications beyond web tasks, offering businesses an edge in efficiency and scalability. How Google Jarvis Stands Out Unlike Anthropic’s desktop-oriented Claude Sonnet, Google Jarvis focuses on automating tasks within Chrome. Jarvis analyzes screenshots of web pages, interprets user commands, and executes actions like clicks or data entry. While still in development, Jarvis’s design suggests a future where mundane web-based tasks are seamlessly handled by AI. Powered by Google’s Gemini 2.0 language model, Jarvis is tailored for users who prioritize web-specific functions, creating a user-friendly assistant that requires no external software. This aligns with Google’s strategy to deepen integration within its ecosystem, making Chrome a more intuitive and productive environment. Microsoft’s Copilot Agents Lead Business Automation Microsoft, meanwhile, continues to enhance its Copilot AI agents, particularly within Dynamics 365. These specialized agents are designed to automate industry-specific workflows, from lead qualification in sales to financial data reconciliation. Unlike Google Jarvis or Anthropic Claude, Microsoft’s Copilot agents target enterprise users, embedding automation within business applications like Teams, Outlook, and SharePoint. With tools like Copilot Studio, organizations can customize workflows to meet specific needs, offering a level of flexibility that resonates with enterprise clients. Early adopters, including Vodafone and Cognizant, have reported significant productivity gains through these integrations. Microsoft’s efforts position Copilot as a robust partner for day-to-day operations, transforming tasks like analysis, project coordination, and document management into automated, efficient processes. Competing Visions for AI Agents As Google, Anthropic, and Microsoft refine their AI strategies, they’re carving out distinct niches in the AI agent landscape: These approaches highlight the diverse applications of AI agents, from enhancing individual user experiences to transforming business 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 18, 2024in Data, Enterprise, Google, Salesforce0 Comments
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
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

Empowering LLMs with a Robust Agent Framework

PydanticAI: Empowering LLMs with a Robust Agent Framework As the Generative AI landscape evolves at a historic pace, AI agents and multi-agent systems are expected to dominate 2025. Industry leaders like AWS, OpenAI, and Microsoft are racing to release frameworks, but among these, PydanticAI stands out for its unique integration of the powerful Pydantic library with large language models (LLMs). Why Pydantic Matters Pydantic, a Python library, simplifies data validation and parsing, making it indispensable for handling external inputs such as JSON, user data, or API responses. By automating data checks (e.g., type validation and format enforcement), Pydantic ensures data integrity while reducing errors and development effort. For instance, instead of manually validating fields like age or email, Pydantic allows you to define models that automatically enforce structure and constraints. Consider the following example: pythonCopy codefrom pydantic import BaseModel, EmailStr class User(BaseModel): name: str age: int email: EmailStr user_data = {“name”: “Alice”, “age”: 25, “email”: “[email protected]”} user = User(**user_data) print(user.name) # Alice print(user.age) # 25 print(user.email) # [email protected] If invalid data is provided (e.g., age as a string), Pydantic throws a detailed error, making debugging straightforward. What Makes PydanticAI Special Building on Pydantic’s strengths, PydanticAI brings structured, type-safe responses to LLM-based AI agents. Here are its standout features: Building an AI Agent with PydanticAI Below is an example of creating a PydanticAI-powered bank support agent. The agent interacts with customer data, evaluates risks, and provides structured advice. Installation bashCopy codepip install ‘pydantic-ai-slim[openai,vertexai,logfire]’ Example: Bank Support Agent pythonCopy codefrom dataclasses import dataclass from pydantic import BaseModel, Field from pydantic_ai import Agent, RunContext from bank_database import DatabaseConn @dataclass class SupportDependencies: customer_id: int db: DatabaseConn class SupportResult(BaseModel): support_advice: str = Field(description=”Advice for the customer”) block_card: bool = Field(description=”Whether to block the customer’s card”) risk: int = Field(description=”Risk level of the query”, ge=0, le=10) support_agent = Agent( ‘openai:gpt-4o’, deps_type=SupportDependencies, result_type=SupportResult, system_prompt=( “You are a support agent in our bank. Provide support to customers and assess risk levels.” ), ) @support_agent.system_prompt async def add_customer_name(ctx: RunContext[SupportDependencies]) -> str: customer_name = await ctx.deps.db.customer_name(id=ctx.deps.customer_id) return f”The customer’s name is {customer_name!r}” @support_agent.tool async def customer_balance(ctx: RunContext[SupportDependencies], include_pending: bool) -> float: return await ctx.deps.db.customer_balance( id=ctx.deps.customer_id, include_pending=include_pending ) async def main(): deps = SupportDependencies(customer_id=123, db=DatabaseConn()) result = await support_agent.run(‘What is my balance?’, deps=deps) print(result.data) result = await support_agent.run(‘I just lost my card!’, deps=deps) print(result.data) Key Concepts Why PydanticAI Matters PydanticAI simplifies the development of production-ready AI agents by bridging the gap between unstructured LLM outputs and structured, validated data. Its ability to handle complex workflows with type safety and its seamless integration with modern AI tools make it an essential framework for developers. As we move toward a future dominated by multi-agent AI systems, PydanticAI is poised to be a cornerstone in building reliable, scalable, and secure AI-driven applications. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

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December 10, 2024in AI Tools, Data, Generative AI0 Comments

Real-World Insights and Applications

Salesforce’s Agentforce empowers businesses to create and deploy custom AI agents tailored to their unique needs. Built on a foundation of flexibility, the platform leverages both Salesforce’s proprietary AI models and third-party models like those from OpenAI, Anthropic, Amazon, and Google. This versatility enables businesses to automate a wide range of tasks, from generating detailed sales reports to summarizing Slack conversations. AI in Action: Real-World Insights and Applications The “CXO AI Playbook” by Business Insider explores how organizations across industries and sizes are adopting AI. Featured companies reveal their challenges, the decision-makers driving AI initiatives, and their strategic goals for the future. Salesforce’s approach with Agentforce aligns with this vision, offering advanced tools to address dynamic business needs and improve operational efficiency. Building on Salesforce’s Legacy of Innovation Salesforce has long been a leader in AI integration. It introduced Einstein in 2016 to handle scripted tasks like predictive analytics. As AI capabilities evolved, Salesforce launched Einstein GPT and later Einstein Copilot, which expanded into decision-making and natural language processing. By early 2024, these advancements culminated in Agentforce—a platform designed to provide customizable, prebuilt AI agents for diverse applications. “We recognized that our customers wanted to extend our AI capabilities or create their own custom agents,” said Tyler Carlson, Salesforce’s VP of Business Development. A Powerful Ecosystem: Agentforce’s Core Features Agentforce is powered by the Atlas Reasoning Engine, Salesforce’s proprietary technology that employs ReAct prompting to enable AI agents to break down problems, refine their responses, and deliver more accurate outcomes. The engine integrates seamlessly with Salesforce’s own large language models (LLMs) and external models, ensuring adaptability and precision. Agentforce also emphasizes strict data privacy and security. For example, data shared with external LLMs is subject to limited retention policies and content filtering to ensure compliance and safety. Key Applications and Use Cases Businesses can leverage tools like Agentbuilder to design and scale AI agents with specific functionalities, such as: Seamless Integration with Slack Currently in beta, Agentforce’s Slack integration brings AI automation directly to the workplace. This allows employee-facing agents to execute tasks and answer queries within the communication tool. “Slack is valuable for employee-facing agents because it makes their capabilities easily accessible,” Carlson explained. Measurable Impact: Driving Success with Agentforce Salesforce measures the success of Agentforce by tracking client outcomes. Early adopters report significant results, such as a 90% resolution rate for customer inquiries managed by AI agents. As adoption grows, Salesforce envisions a robust ecosystem of partners, AI skills, and agent capabilities. “By next year, we foresee thousands of agent skills and topics available to clients, driving broader adoption across our CRM systems and Slack,” Carlson shared. Salesforce’s Agentforce represents the next generation of intelligent business automation, combining advanced AI with seamless integrations to deliver meaningful, measurable outcomes at scale. 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, Google, Salesforce, Technology0 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
agentforce digital workforce
08Dec

Agentforce – The Digital Labor Market

Salesforce’s latest financial results delivered strong numbers, but the real story of the moment is Agentforce—a revolutionary step into the emerging Digital Labor market. CEO Marc Benioff has made it clear that this platform will be the centerpiece of Salesforce’s strategy moving into 2025. Financial Performance In Q3, Salesforce posted an impressive $9.44 billion in revenue, an 8% year-over-year increase, with net income rising 25% to $1.5 billion. Here’s the breakdown of revenue by cloud segment: The company also raised its revenue guidance for the fiscal year, now projecting $37.8–$38 billion, up 8%–9% year-over-year. Following the announcement, Salesforce shares jumped 10%. Enter Agentforce: The Future of Work The post-earnings call focused heavily on Agentforce, which Benioff describes as more transformative than the data management market itself. Launched in late October, Agentforce has already secured 200 deals and boasts a significant pipeline of potential transactions. According to Benioff: “Agentforce is the next evolution of Salesforce—a platform where AI agents work alongside humans in a digital workforce, amplifying and augmenting human capabilities while delivering unparalleled speed.” Benioff envisions a world where these AI agents not only assist humans but also transform entire industries. He stated: “Agentforce will drive a new era of economic growth by unlocking a scalable digital workforce, providing businesses the ability to achieve both scale and efficiency simultaneously.” Early Adoption and Use Cases Agentforce’s potential is already being realized by customers across industries, including FedEx, Adecco, Accenture, ACE Hardware, IBM, and RBC Wealth Management. For instance: Internally, Salesforce has integrated Agentforce into its operations, using it to handle over 60 million help portal sessions and 2 million support cases annually. This internal transformation hints at broader industry impacts as businesses adopt Agentforce to automate and optimize workflows. Implications for the Workforce Benioff addressed how Agentforce will reshape traditional workforces, emphasizing that this shift doesn’t necessarily mean job losses. Instead, companies will need to rebalance their headcounts, focusing on areas critical for growth while automating routine tasks. Salesforce itself is hiring 1,400 sales account executives globally to capitalize on Agentforce’s growing demand. Benioff argued: “History has shown us that disruption brings new opportunities. Entire industries will emerge, fueled by creativity and innovation, as Agentforce enables organizations to solve challenges and reach new heights.” Competitive Landscape Salesforce faces competition in the AI agent space, particularly from Microsoft’s Copilot. However, Benioff was quick to point out that Salesforce’s AI solutions are deeply integrated with its platform and customer data, offering a unique advantage: “While others tout AI, Salesforce operates its company on its platform with low hallucination rates, thanks to training on 300 petabytes of real company data.” Looking Ahead As Salesforce heads into 2025, Agentforce is set to dominate its strategy. This shift mirrors past pivotal moments in tech, such as Microsoft’s 1995 pivot to the internet. Salesforce executives, led by Benioff, are laser-focused on driving Agentforce adoption, positioning it as the linchpin of the company’s growth and innovation. Chief Operating Officer Brian Millham reinforced this vision, highlighting the potential for Agentforce across all Salesforce clouds—from Service Cloud to Marketing Cloud and Data Cloud: “The initial 200 deals are just the tip of the iceberg. The opportunity ahead for Agentforce is massive.” Conclusion Salesforce’s Q3 results showcased strong financial performance, but the real excitement lies in Agentforce. By spearheading the Digital Labor revolution, Salesforce is not only reshaping its own operations but also helping businesses worldwide unlock new levels of productivity, innovation, and economic growth. As 2025 unfolds, all eyes will be on Salesforce to see how it delivers on this bold vision. 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 Data, 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
Shift From AI Agents to AI Agent Tool Use
06Dec

Shift From AI Agents to AI Agent Tool Use

The focus of AI development is evolving—from creating autonomous AI Agents to expanding the tools they use, significantly boosting their capabilities and flexibility. Tool access, described and utilized through natural language, is now a critical factor in the functionality and reach of these agents, enabling them to tackle increasingly complex tasks. The Role of Tools in AI Agent Effectiveness AI Agents thrive in user-specific environments like desktops, where rich context enables them to perform tasks more effectively. Instead of just scaling model power, leading AI companies such as OpenAI and Anthropic are pivoting toward tool-enabled frameworks, allowing agents to interact directly with computer GUI navigation for multi-step workflows. This shift positions tools as essential components of AI ecosystems, bridging the gap between raw computational power and actionable user outcomes. OpenAI’s “Operator” and the Future of Autonomous Agents OpenAI is set to release Operator, an AI Agent designed to autonomously perform tasks such as coding and travel booking on a user’s computer. Available as a research preview in January, Operator is part of a broader industry trend toward Agentic Tools that enable seamless, multi-step task execution with minimal user oversight. This approach reflects a shift toward real-time AI capabilities, moving beyond model-centric enhancements to unlock practical, task-driven use cases for AI Agents. Anthropic’s Desktop AI Agent Anthropic is also advancing the field with a reference implementation for computer use, enabling rapid deployment of AI-powered desktop agents. This implementation allows users to leverage Claude, Anthropic’s AI model, in a virtual machine environment with powerful tools for GUI interaction, command-line operations, and file management. Key Features This system provides a controlled yet versatile environment for AI Agents to operate in a safe, flexible, and efficient manner. Technical Implementation To deploy Anthropic’s computer-use demo: bashCopy codeexport ANTHROPIC_API_KEY=%your_api_key% docker run \ -e ANTHROPIC_API_KEY=<Your Anthropic API Key Goes Here> \ -v $HOME/.anthropic:/home/computeruse/.anthropic \ -p 5900:5900 \ -p 8501:8501 \ -p 6080:6080 \ -p 8080:8080 \ -it ghcr.io/anthropics/anthropic-quickstarts:computer-use-demo-latest Tools Overview Each session starts fresh but maintains state within the session, enabling smooth task execution. The Bigger Picture AI Agents are no longer defined solely by their autonomous capabilities. Instead, their success now hinges on how effectively they utilize tools to extend their reach and flexibility. Whether it’s through GUI navigation, command-line interactions, or file management, tool access is transforming the way AI Agents deliver value to users. By focusing on tools rather than just AI model power, companies like OpenAI and Anthropic are building the foundation for a new era of AI-driven productivity. Expect to see more advancements in Agentic Tool design, as the emphasis shifts from autonomy to capability. 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 6, 2024in Salesforce0 Comments
rise of digital workers
04Dec

Rise of Digital Workers

The Rise of Digital Workers: Unlocking a New Era of Opportunity Over the past two years, advancements in artificial intelligence have sparked a revolution in how humans work, live, and connect. While impressive generative AI models have garnered significant attention, a new paradigm of autonomous AI agents is emerging, promising transformative changes to industries and societies alike. Unlike traditional “predictive AI,” which analyzes data for recommendations, and “generative AI,” which creates content based on learned patterns, autonomous AI agents go a step further. These agents operate independently, executing tasks, making decisions, and even negotiating with other agents. This evolution introduces an intelligent digital workforce capable of scaling operations, reducing costs, and enhancing productivity. Consider a large retailer during the holiday season. Instead of relying on human workers or pre-programmed software to address customer inquiries or update inventory, autonomous agents can seamlessly manage customer interactions, monitor stock levels, reorder items, and coordinate shipping—all without human intervention. This level of automation represents a groundbreaking shift, enabling businesses to operate on an unprecedented scale. Expanding the Reach of Digital Labor Autonomous AI agents are breaking traditional barriers of human availability and physical constraints, enabling businesses to scale globally and more efficiently. These digital workers are not limited by geography, opening opportunities previously restricted to specific locations. However, this shift comes with challenges. Ensuring trust, accountability, and transparency in AI systems is critical. Equally important is investing in human-centric skills such as creativity, critical thinking, and adaptability, which remain uniquely human. Sustainability is another concern, as AI-driven technologies place increasing demands on energy and resources. By addressing these issues, societies can unlock the full potential of digital labor while safeguarding the planet and human values. Transforming Everyday Lives Beyond businesses, autonomous agents are poised to transform personal lives. Personalized agents can act as tutors for students, guiding them through their learning journeys. For individuals, these agents can manage everyday tasks, from scheduling appointments to coordinating complex logistics. In healthcare, AI agents are already alleviating administrative burdens on providers. For example, intelligent agents can handle patient communications, monitor progress, and schedule follow-ups, freeing doctors and nurses to focus on complex cases. Such innovations hold the potential to revolutionize patient care and improve outcomes across the board. Navigating Disruption and Change Like any transformative technology, the rise of autonomous agents will bring disruptions. Some industries will struggle to adapt, and jobs will inevitably evolve—or, in some cases, disappear. History shows, however, that technological revolutions often create far more opportunities than they displace. For example, the U.S. workforce grew by over 100 million jobs between 1950 and 2020, many in industries that didn’t exist before. The key lies in preparing workers for new roles through education and training. Autonomous agents are essential in addressing global challenges such as labor shortages and stagnant productivity growth. They amplify human capabilities, driving innovation and boosting economic output. For example, in the third quarter of 2024, U.S. productivity rose by 2.2%, fueled in part by AI advancements. Driving Innovation and Collaboration AI agents are also fostering innovation, sparking the creation of new companies and industries. More than 5,000 AI-focused startups have emerged in the past decade in the U.S. alone. This trend mirrors the technological revolutions driven by past innovations like microchips, the internet, and smartphones. However, effectively harnessing agentic AI requires collaboration among governments, businesses, nonprofits, and academia. Initiatives like the G7’s framework for AI accountability and the Bletchley Declaration emphasize transparency, safety, and data privacy, offering critical guardrails as AI adoption accelerates. A Vision for the Future Autonomous agents represent a powerful force for change, offering unprecedented opportunities for businesses and individuals alike. By leveraging these technologies responsibly and investing in human potential, societies can ensure a future of abundance and progress. As Marc Benioff, CEO of Salesforce, emphasizes, “AI has the potential to elevate every company, fuel economic growth, uplift communities, and lead to a future of abundance. If trust is our north star, agents will empower us to make a meaningful impact at an unprecedented scale.” 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 4, 2024in Agentforce Platform, Artificial Intelligence, Data, Generative AI, Salesforce, Technology0 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 $37.8–$38 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
Transform Customer Experiences
03Dec

Transform Customer Experiences

How to Transform Customer Experiences with AI and Sub-Second E2E Real-Time Data Sync Introducing Data Cloud’s Sub-Second E2E Real-Time FeatureDeliver hyper-personalized experiences in real time, no matter how or where customers engage with your brand. Exceptional customer experiences hinge on unifying interactions across every touchpoint. Yet, fragmented data dispersed across systems, channels, and clouds often stands in the way. Salesforce Data Cloud eliminates these silos by delivering a synchronized, real-time customer data ecosystem, enabling brands to create personalized, seamless experiences instantly—regardless of how or where customers connect. We’re excited to announce that the Sub-Second E2E Real-Time feature in Salesforce Data Cloud is now available. This innovation processes and analyzes data as it’s generated, empowering brands to make immediate, data-driven decisions. Combined with Einstein Personalization—which leverages advanced machine learning (ML) and rules-based automation—businesses can deliver individualized experiences across all channels, driving deeper engagement and improved outcomes. What is Sub-Second Real-Time? Sub-second real-time refers to the ability to process and deliver data or responses in less than one second, ensuring ultra-low latency and near-instantaneous results. This capability is critical for applications requiring immediate data updates, such as live analytics, responsive user interfaces, and time-sensitive decision-making. The Sub-Second E2E Real-Time feature empowers industries like fraud detection, predictive maintenance, and real-time marketing with instant insights. By synchronizing data across systems, channels, and clouds, Data Cloud ensures a unified, real-time customer view, giving businesses a competitive edge. Real-World Examples of Sub-Second Real-Time in Action 1. Real-Time Web Personalization Imagine a user browsing a website. As they interact with products, Data Cloud instantly captures this activity and updates their customer profile. Using Einstein Personalization, the system processes this data in milliseconds to tailor their browsing experience. For instance, personalized product recommendations can appear as the user clicks, leveraging insights from their behavior across platforms such as websites, point-of-sale systems, mobile apps, and other data sources. This seamless personalization is made possible by Data Cloud’s integrations, including zero-copy ingestion from major data warehouses like Snowflake, Databricks, and Redshift. The result? A continuously updated, 360-degree customer view that enhances every touchpoint. 2. Real-Time Support with Agentforce Now, consider a customer engaging in a live chat for assistance. As they browse, their actions are captured and updated in real time. When they initiate a chat, whether through Agentforce AI agents or human support, the agent has immediate access to their full activity history, updated within milliseconds. This enables the agent to provide tailored responses and solutions, ensuring a frictionless and engaging customer support experience. Why Sub-Second Real-Time Matters From personalization to support, the Sub-Second E2E Real-Time feature in Data Cloud ensures every customer interaction feels relevant, timely, and connected. By bridging the gap between data silos and intelligent automation, businesses can unlock new opportunities to exceed customer expectations—at scale and in real time. Explore how Salesforce Data Cloud can transform your customer experience today. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce 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, Salesforce, Salesforce Data Cloud, Snowflake0 Comments

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