Talent Acquisition Archives - gettectonic.com
Salesforce Absorbs AI Recruitment Startup Moonhub
12Jun

Salesforce Absorbs AI Recruitment Startup Moonhub

Salesforce Absorbs AI Recruitment Startup Moonhub in Talent Acquisition Push Salesforce has effectively acquired Moonhub, an AI-powered recruitment startup, though the financial terms remain undisclosed. The move follows Salesforce’s recent $8 billion deal for Informatica and its purchase of Convergence.ai, signaling aggressive expansion in enterprise AI. Moonhub, a Menlo Park-based firm founded in 2022 by ex-Meta engineer Nancy Xu, announced on its website that its team would transition to Salesforce, an early investor. While Salesforce clarified to TechCrunch that this does not constitute a formal acquisition (Moonhub will cease operations), key personnel will join the tech giant to bolster its AI initiatives, including Agentforce, Salesforce’s AI agent ecosystem. Why Moonhub? Moonhub specialized in AI-driven talent sourcing, automating candidate discovery, outreach, onboarding, and payroll. Its clients included Fortune 500 companies, and it had raised $14.4 million from backers like Khosla Ventures, GV (Google Ventures), and Salesforce Ventures. Xu emphasized cultural alignment, stating: “Salesforce shares our core values—customer trust and a belief in AI’s role in global innovation. Together, we’ll accelerate this mission.” The Bigger Picture: AI’s HR Takeover The deal reflects the rapid adoption of AI in HR, with 93% of Fortune 500 CHROs already deploying such tools (Gallup). However, reactions remain mixed as automation reshapes recruitment. What’s Next? With Moonhub’s team now inside Salesforce, expect tighter integration of AI agents into Salesforce’s talent solutions. Meanwhile, the startup’s standalone product will sunset, marking another example of Big Tech absorbing innovative AI ventures. Key Takeaways:✅ Moonhub’s team joins Salesforce (no formal acquisition, but a strategic absorption).🤖 Focus on AI recruitment tools (automated hiring, onboarding, payroll).📈 Part of Salesforce’s broader AI push (following Informatica, Convergence.ai deals).💡 HR AI adoption is booming—but not without controversy. Update: Clarified acquisition status per Salesforce’s statement. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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June 12, 2025in Agentforce Platform, Data, Enterprise, Google, Salesforce0 Comments
salesforce agentforce rapid deployment
22May

Indeed Partners with Salesforce to Revolutionize Employer Support with AI-Powered Agentforce

Streamlining Employer Onboarding Through Intelligent Automation Salesforce has announced that Indeed — the world’s #1 job site with 610 million job seeker profiles and 3.3 million active employers — is implementing Agentforce to transform its employer support operations. By deploying AI-powered digital labor, Indeed aims to automate routine onboarding tasks, reduce response times, and free up human teams to focus on high-value employer relationships that accelerate hiring. The Challenge: Scaling Employer Support Efficiently The Solution: AI Agents That Work Alongside Human Teams Indeed is leveraging Salesforce Agentforce to:✔ Autonomously resolve routine employer inquiries✔ Guide users in real time through account verification & job posting fixes✔ Reduce manual workloads for support staff by ~20-30% Example Use Case:When an employer’s job post gets flagged (e.g., for a too-short description), they can simply ask the AI agent—in plain language—why it was rejected. The agent instantly explains the issue and provides step-by-step resolution guidance. The Technology Stack Powering Indeed’s AI Transformation The Impact: From Administrative Burden to Strategic Relationships “By automating repetitive tasks with Agentforce, we’re empowering our teams to do what humans do best—build trust and solve meaningful problems,” said an Indeed spokesperson. “This isn’t about replacing people; it’s about augmenting them with AI superpowers.” The Future of AI in HR Tech Indeed’s deployment showcases how autonomous AI agents are transforming talent acquisition by: As more enterprises adopt digital labor platforms like Agentforce, expect to see similar AI-driven efficiencies across:✓ Candidate screening✓ Interview scheduling✓ Compliance verification Industry Outlook:*With 72% of HR leaders planning to increase AI adoption in 2024 (Gartner), Indeed’s move positions it as a frontrunner in the AI-powered recruitment revolution.* Ready to explore AI agents for your HR operations?  Contact Tectonic. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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May 22, 2025in Data, Enterprise, Mulesoft, Salesforce, Salesforce Data Cloud, Technology0 Comments
13Mar

Why Its Good to be Data-Driven

The Power of Data-Driven Decision Making Success in business hinges on the ability to make informed decisions. Every operational aspect, from minor choices like office furniture selection to critical investments such as multi-million-dollar marketing campaigns, is shaped by a series of interrelated decisions. While instinct and intuition may play a role, most business choices rely on relevant data—covering aspects such as objectives, pricing, technology, and potential risks. However, excess irrelevant data can be just as detrimental as insufficient accurate data. Why Its Good to be Data-Driven organization… The Evolution of Data-Driven Decision Making Organizations that prioritize data-driven strategies rely on accurate, relevant, complete, and timely data. Simply amassing large volumes of information does not equate to better decision-making; companies must democratize data access, ensuring it is available to all employees rather than limited to data analysts. The practice of using data to inform business decisions gained traction in the mid-20th century when researchers identified decision-making as dynamic, complex, and often ambiguous. Early techniques like decision trees and prospect theory emerged in the 1970s alongside computer-aided decision-making models. The 1980s saw the rise of commercial decision support systems, and by the early 21st century, data warehousing and data mining revolutionized analytics. However, without clear governance and organizational policies, these vast data stores often fell short of their potential. Today, the goal of data-driven decision-making is to combine automated decision models with human expertise, creativity, and critical thinking. This approach requires integrating data science with business operations, equipping managers and employees with powerful decision-support tools. Characteristics of a Data-Driven Organization A truly data-driven organization understands the value of its data and maximizes its potential through structured alignment with business objectives. To safeguard and leverage data assets effectively, businesses must implement governance frameworks ensuring compliance with privacy, security, and integrity standards. Key challenges in establishing a data-driven infrastructure include: The Benefits of a Data-Driven Approach Businesses recognize that becoming data-driven requires more than just investing in technology; success depends on strategy and execution. According to KPMG, four critical factors contribute to the success of data-driven initiatives: A data-driven corporate culture accelerates decision-making, enhances employee engagement, and increases overall business value. Integrating ethical considerations into data usage is crucial for mitigating biases and maintaining data integrity. Transitioning to a Data-Driven Business With the rapid advancement of generative AI, data-driven organizations are poised to unlock trillions of dollars in economic value. McKinsey estimates that AI-driven decision-making could add between .6 trillion and .4 trillion annually across key sectors, including customer operations, marketing, software engineering, and R&D. To successfully transition into a data-driven organization, companies must: By embracing a data-driven model, organizations enhance their ability to make automated yet strategically sound decisions. With seamless data integration across CRM, ERP, and business applications, companies empower human decision-makers to apply their expertise to high-quality, actionable insights—driving innovation and competitive advantage in a rapidly evolving marketplace. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 13, 2025in Data, Generative AI, Technology
AI Agents in Business 2025
02Jan

AI Agents in Business 2025

AI Agents Are No Longer Just Hype—They’re Transforming Business in 2025 For years, AI agents have been more of a promise than a reality. But that’s changing in 2025. According to Salesforce, AI agents are finally becoming a tangible force in enterprise operations. A new survey from MuleSoft reveals that 93% of enterprise IT leaders have already implemented or plan to implement AI agents within the next two years. Despite this momentum, enterprises still face hurdles in deploying AI effectively. For example, 29% missed their delivery goals in 2024, and 80% cite data integration as a major challenge. “Integration challenges hinder companies from fully realizing the technology’s potential to create a limitless digital workforce,” said Andrew Comstock, SVP and GM of MuleSoft. “AI agents depend on connected data to understand context and execute tasks effectively.” AI Agents Are Taking Shape—But Integration Remains a Challenge Salesforce’s 10th annual MuleSoft Connectivity Benchmark Report, which surveyed 1,050 enterprise IT leaders, underscores the complexity of modern IT environments: Poor integration directly impacts AI agent accuracy and usefulness. AI agents must pull both structured and unstructured data from diverse sources—ERP, CRM, HCM platforms, emails, PDFs, Slack, and more—to make informed decisions. The Power of APIs in AI Agent Deployment APIs are proving critical in enabling AI agents to function effectively. IT leaders see them as essential for: ✅ Improving IT infrastructure✅ Sharing data across teams✅ Integrating disconnected systems By leveraging APIs, AI agents interact with existing automations and systems instead of requiring enterprises to rebuild workflows from scratch. “With correct integration and APIs, enterprises won’t have to refit everything for the AI world,” Comstock explained. IT Teams Are Overwhelmed—AI Can Help Close the Gap The report also reveals a growing demand for IT resources: “That’s an incredibly high percentage of time spent on cumbersome work,” said Comstock. “AI agents can close the IT delivery gap.” AI’s Impact on Developer Productivity and the Future of “Super Agents” IT leaders are optimistic about AI’s potential, with 93% believing AI will boost developer productivity over the next three years. Beyond simple AI agents, “super agents” are on the horizon. Unlike traditional AI agents that execute single commands, super agents pursue goals and handle complex, multi-step tasks. “A digital labor workforce can act autonomously, carrying out both simple and complex tasks to drive productivity and efficiency,” Comstock noted. How Enterprises Are Using AI Agents Today AI agents are already proving their value in industries ranging from financial services to talent acquisition. PenFed Credit Union: AI-Powered Customer Support PenFed Credit Union, the third-largest federal credit union in the U.S., implemented live chat and AI-powered chatbots built on Agentforce in just eight weeks—with only one engineer. By integrating data through MuleSoft, PenFed’s service agents now have a 360-degree view of member interactions, resulting in: “Members get the support they need faster, without repeating themselves,” Comstock explained. Adecco: AI-Driven Hiring Automation Adecco, a global staffing company processing 300 million job applications annually, faced a challenge: recruiters could only respond to a fraction of candidates. With Agentforce, MuleSoft, and Salesforce Data Cloud, Adecco is now automating hiring workflows: ✅ AI autonomously sorts resumes and generates candidate shortlists.✅ AI notifies candidates who weren’t selected and suggests alternative roles.✅ AI identifies the best job boards for listings, eliminating manual posting. “The goal is to respond to 100% of applicants, improving both recruiter efficiency and candidate experience,” said Comstock. The AI Adoption Feedback Loop As enterprises deploy AI agents, their effectiveness improves over time. AI models continuously refine themselves, making each new iteration more intelligent and efficient. “The best companies will embrace this cycle, gaining a major competitive edge,” said Comstock. AI Agents Aren’t Replacing Humans—They’re Augmenting Them Despite fears of job displacement, Comstock sees AI agents as enhancements, not replacements. They free employees from repetitive tasks, allowing them to focus on higher-value work. “This is where AI becomes real,” said Comstock. “Enterprises are moving beyond theory—AI agents are already delivering measurable business impact.” 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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January 2, 2025in Data, Enterprise, Mulesoft, Salesforce, Salesforce Data Cloud, Technology
How to Achieve AI Democratization
22Sep

How to Achieve AI Democratization

AI democratization empowers non-experts by placing AI tools in the hands of everyday users, enabling them to harness the technology’s potential without requiring specialized technical skills. Today, IT leaders are increasingly focused on expanding AI’s benefits across the enterprise. The growing number of AI-based tools is making this more achievable. In some respects, democratization extends the concept of low- and no-code development—allowing non-developers to create software—into the realm of AI. However, it’s also about ensuring data is accessible and fostering data literacy throughout the organization. This doesn’t mean every employee needs to write machine learning scripts. Instead, it means business professionals should understand AI’s potential, identify relevant use cases, and apply insights to drive business outcomes. Achieving AI democratization is feasible, thanks to decentralized governance models and the emergence of AI-focused services. However, as with any new technology, democratization brings both benefits and challenges. How to Achieve AI Democratization AI is no longer reserved for experts. Tools like Google Colab and Microsoft’s Azure OpenAI Service have simplified AI development, enabling more employees to participate by writing and sharing code for various projects. To maximize the impact, enterprises must train business users on the basics of AI and how it can enhance their daily work. According to Arpit Mehra, Practice Director at Everest Group, decentralized governance models can help organizations build strategies for data and technology learning. Key strategies include: Arun Chandrasekaran, VP and Analyst at Gartner, also advises companies to focus on intelligent applications in areas such as customer engagement and talent acquisition, which can provide specialized training. Benefits and Challenges of AI Democratization AI democratization can significantly expand an organization’s capabilities. By placing AI in the hands of more employees, businesses reduce barriers to adoption, cut costs, and create highly accurate AI models. “Making AI more accessible broadens the scope of what businesses can achieve,” said Michael Shehab, PwC U.S. Technology and Innovation Leader. AI democratization also helps companies address IT talent shortages by upskilling employees and enabling them to integrate AI into their workflows. This approach improves productivity, allowing businesses to more easily spot trends and patterns within large data sets. However, challenges also arise. If AI is implemented without proper oversight, the technology is susceptible to bias. Poor training could lead to decision-making based on inaccurate or skewed data. Business leaders must ensure they understand who is using AI tools and establish standards for responsible use. Without careful testing, AI applications can automate mistakes that go unnoticed but may cause significant issues. Ed Murphy, SVP and Head of Data Science at 1010data, emphasizes the importance of testing to prevent these errors. To mitigate risks, organizations should invest in upskilling and reskilling employees. A well-defined training plan will enable nontechnical teams to participate in AI adoption and deployment effectively. Mehra from Everest Group also suggests exploring MLOps technologies to simplify AI development and streamline processes. Ultimately, AI democratization will benefit businesses that recognize AI’s potential beyond a small group of experts. While the benefits are clear, organizations must remain vigilant about the risks to ensure successful AI integration and reap the rewards of their efforts. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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September 22, 2024in Salesforce
Thoughts on Workday With Illuminate
20Sep

Thoughts on Workday With Illuminate

Workday Expands AI Across HR and Finance Platforms with ‘Illuminate’ Workday is significantly enhancing its AI capabilities within its HR and finance platforms through a new set of updates called Illuminate. These updates aim to improve automation and increase productivity by embedding AI more broadly across various HR processes. From routine tasks like content generation to complex problem-solving, Workday’s AI now identifies inefficiencies in HR workflows and offers recommendations for improvement. Thoughts on Workday With Illuminate follow. A key feature of Illuminate is a series of AI agents designed to assist in areas such as succession planning. These agents can suggest internal candidates that HR teams might overlook, helping organizations identify potential leaders within their workforce. During a press briefing ahead of the Workday Rising conference, TechTarget asked if the AI agent used in succession planning could fully capture the intricacies of the employee experience and assess leadership potential. David Somers, Chief Product Officer at Workday, acknowledged the sensitivity of succession planning but emphasized that AI is used to augment—not replace—human decision-making. The agents provide recommendations, while the final hiring decisions still involve talent acquisition professionals and interview panels. Workday’s updates include tools for a wide range of tasks, from content summarization to more advanced capabilities such as detecting bottlenecks in onboarding processes and suggesting optimizations. “These AI agents will streamline common business workflows, boosting productivity and freeing up users to focus on strategic, meaningful work,” Somers explained. While AI has long been part of Workday’s offerings, generative AI is now driving rapid transformation in HR practices. Workday’s Illuminate platform combines data with contextual insights, offering features like compensation data tailored to a company’s specific information. Users can access these AI capabilities through Workday Assistant, a generative AI chatbot that integrates with Microsoft Teams and Slack. This tool will be generally available early next year, making it easier for teams to interact with Workday’s AI-powered systems. HR industry expert Josh Bersin sees Workday’s Illuminate as part of a broader trend of AI agents in the HR space, similar to SAP’s Joule. He believes Workday’s new AI agents will be a major focus for the company, though building out all the necessary Workday transactions into these tools will take time. Bersin does not foresee trust issues among Workday users regarding Illuminate, noting that the platform isn’t open to non-Workday data, which limits concerns around data security. Bersin’s own AI assistant, Galileo, is also expected to integrate with Workday’s platform in the future, further enhancing its capabilities. rativAccording to recent Gartner surveys from March and June, the majority of HR leaders are adopting AI in their organizations. Only 15% of respondents indicated they had no plans to incorporate generative AI into their HR processes, signaling widespread acceptance of AI tools like those Workday is rolling out with Illuminate. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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September 20, 2024in AI Tools, Data, Generative AI
Salesforce Success Story
20Jul

Case Study: Service Cloud Experience Cloud Federal Nonprofit Talent Acquisition

Military congressionally chartered, federally supported non-profit corporation that sustains and equips the armed forces. Client employs nearly 170,000 professionals to support and sustain the global mission of the armed forces. Service Cloud Experience Cloud Federal Nonprofit Talent Acquisition. Industry: Federal – Military Process Gaps: Client’s lack of a digital processes for talent acquisition hindered their ability to find and develop top-tier employees. The repository was incomplete, inaccurate, disconnected from other departments within the business ecosystem with no checks & balances in place – resulting into inefficient talent acquisition lifecycle that could not be tracked. Implemented : Technologies integrated : Our solution? Tectonic assisted with the successful implementation of Salesforce Sales Cloud, Experience Cloud, API Integrations and Advanced SF Security. Key activities included: Results: With Salesforce Public Sector Solutions, you can improve the provision of public services, expedite processes, and promote community trust and well-being. These solutions, which are specifically designed for government enterprises, use state-of-the-art technology to streamline workflows, guarantee compliance, and expedite operations. Discover the revolutionary potential of Salesforce in the areas of emergency program Salesforce offers digital transformation technology for government and public sector industries. If you are considering a Salesforce recruiting solution, contact Tectonic today. Like2 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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July 20, 2023in Public Sector Solutions, Salesforce, Salesforce Development Services, Salesforce Experience Cloud, Salesforce for Nonprofits, Salesforce Implementation Services, Salesforce Public Sector Solutions, Salesforce Sales Cloud, Salesforce Service Cloud, Salesforce Success Stories
Explore Salesforce Experience Cloud
04Feb

Explore Salesforce Experience Cloud

Empowering Businesses with Exceptional Salesforce Cloud Solutions Explore the transformative work we have done for our clients with Salesforce Experience Cloud, showcasing some of the exceptional solutions we have implemented. Through our strategic initiatives, we have enabled organizations across various industries to leverage the full potential of Salesforce Clouds to enhance user engagement, streamline operations, and achieve significant business growth. Our success stories reflect the diverse challenges our clients faced and the optimized solutions we provided to address them. For instance, by revamping an recruiting portal for a prominent American government agency, we reduced issues related to recruting, onboarding, and retaining talent. Tectonic’s approach incorporates the latest Salesforce technologies, such as Lightning Web Components, Service Cloud, and Experience Cloud, to deliver high-performing, scalable solutions. From improving partner portals for better partner support to transforming community portals for enhanced user experience, our solutions are designed to meet specific client needs while ensuring long-term adaptability and success. Manufacturing – Experience Cloud Case Study Public Sector – Experience Cloud and Grants Management Case Study Manufacturing – Sales, Service, Marketing, and Partner Community Case Study Manufacturing – Sales, Service, Marketing and Experience Cloud Case Study Branded Solutions Manufacturing – Sales, Service, and Experience Cloud Case Study Nonprofit Hospitality – Service and Experience Cloud Case Study Tribal Government – Health, Marketing, MuleSoft, and Experience Cloud Case Study Restaurant – Sales, Service, and Experience Cloud Case Study Federal Government – Nonprofit Talent Acquisition Experience Cloud Case Study Higher Education Software – Sales, Service and Experience Cloud Case Study Salesforce Partner Portals Built on Salesforce Experience Cloud Explore all Tectonic Salesforce Implementation Solutions 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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February 4, 2023in Mulesoft, Salesforce Experience Cloud

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