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Workday and Salesforce Unveil New AI Employee Service Agent

Workday and Salesforce Unveil New AI Employee Service Agent

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

Salesforce Workday Partnership

Salesforce and Workday Partner to Launch AI-Powered Employee Service Agent Salesforce (NYSE: CRM), the leading AI CRM platform, and Workday, Inc. (NASDAQ: WDAY), a leader in enterprise cloud applications for finance and HR, today announced a strategic partnership to develop a new AI-powered employee service agent. This solution will enhance employee experiences by automating routine tasks, providing personalized support, and delivering data-driven insights across Salesforce and Workday platforms. A Unified Data Foundation for Enhanced Employee Services The partnership will integrate HR and financial data from Workday with CRM data from Salesforce, creating a unified data foundation. This integration will enable the development of AI-driven use cases that increase productivity, reduce costs, and improve the employee experience. A key feature will be the seamless incorporation of Workday into Slack, allowing for enhanced automation and collaboration around HR and financial records, using AI. The new AI employee service agent, built on Salesforce’s Agentforce Platform and Einstein AI, alongside Workday AI, will cater to various employee service needs, such as onboarding, health benefits management, and career development. This agent will utilize a company’s data to interact with employees in natural language, offering personalized support and executing tasks based on trusted business rules and permissions. Enhancing Employee and Customer Success “The AI opportunity lies in augmenting employees and delivering exceptional customer experiences. Our collaboration with Workday will empower businesses to create remarkable experiences using generative and autonomous AI, allowing employees to efficiently find answers, learn new skills, solve problems, and take actions.” Marc Benioff, Chair and CEO of Salesforce Carl Eschenbach, CEO of Workday, highlighted the integration’s benefits: “By combining our platforms, data, and AI capabilities, we empower customers to deliver unmatched AI-powered employee experiences, leading to happier customers and substantial business value.” Key Features of the Partnership Benefits for Employees and Employers For Employees: For Employers: Sal Companieh, Chief Digital and Information Officer at Cushman & Wakefield, noted the strategic advantage: “The integration of Workday and Salesforce will streamline workflows and deliver more personalized, AI-powered employee experiences, significantly enhancing our operational efficiency.” “The shared data foundation between Workday and Salesforce will enable these partners to deliver transformative AI capabilities, enhancing employee experiences and driving business performance.” R “Ray” Wang, CEO of Constellation Research, Inc. About Workday Workday is a leading enterprise platform that helps organizations manage their most important assets – their people and money. The Workday platform is built with AI at the core to help customers elevate people, supercharge work, and move their business forever forward. Workday is used by more than 10,500 organizations around the world and across industries – from medium-sized businesses to more than 60% of the Fortune 500. For more information about Workday, visit workday.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 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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AI Trust and Optimism

AI Trust and Optimism

Building Trust in AI: A Complex Yet Essential Task The Importance of Trust in AI Trust in artificial intelligence (AI) is ultimately what will make or break the technology. AI Trust and Optimism. Amid the hype and excitement of the past 18 months, it’s widely recognized that human beings need to have faith in this new wave of automation. This trust ensures that AI systems do not overstep boundaries or undermine personal freedoms. However, building this trust is a complicated task, thankfully receiving increasing attention from responsible thought leaders in the field. The Challenge of Responsible AI Development There is a growing concern that in the AI arms race, some individuals and companies prioritize making their technology as advanced as possible without considering long-term human-centric issues or the present-day realities. This concern was highlighted when OpenAI CEO Sam Altman presented AI hallucinations as a feature, not a bug, at last year’s Dreamforce, shortly after Salesforce CEO Marc Benioff emphasized the vital nature of trust. Insights from Salesforce’s Global Study Salesforce recently released the results of a global study involving 6,000 knowledge workers from various companies. The study reveals that while respondents trust AI to manage 43% of their work tasks, they still prefer human intervention in areas such as training, onboarding, and data handling. A notable finding is the difference in trust levels between leaders and rank-and-file workers. Leaders trust AI to handle over half (51%) of their work, while other workers trust it with 40%. Furthermore, 63% of respondents believe human involvement is key to building their trust in AI, though a subset is already comfortable offloading certain tasks to autonomous AI. Specifically: The study predicts that within three years, 41% of global workers will trust AI to operate autonomously, a significant increase from the 10% who feel comfortable with this today. Ethical Considerations in AI Paula Goldman, Salesforce’s Chief Ethical and Humane Use Officer, is responsible for establishing guidelines and best practices for technology adoption. Her interpretation of the study findings indicates that while workers are excited about a future with autonomous AI and are beginning to transition to it, trust gaps still need to be bridged. Goldman notes that workers are currently comfortable with AI handling tasks like writing code, uncovering data insights, and building communications. However, they are less comfortable delegating tasks such as inclusivity, onboarding, training employees, and data security to AI. Salesforce advocates for a “human at the helm” approach to AI. Goldman explains that human oversight builds trust in AI, but the way this oversight is designed must evolve to keep pace with AI’s rapid development. The traditional “human in the loop” model, where humans review every AI-generated output, is no longer feasible even with today’s sophisticated AI systems. Goldman emphasizes the need for more sophisticated controls that allow humans to focus on high-risk, high-judgment decisions while delegating other tasks. These controls should provide a macro view of AI performance and the ability to inspect it, which is crucial. Education and Training Goldman also highlights the importance of educating those steering AI systems. Trust and adoption of technology require that people are enabled to use it successfully. This includes comprehensive knowledge and training to make the most of AI capabilities. Optimism Amidst Skepticism Despite widespread fears about AI, Goldman finds a considerable amount of optimism and curiosity among workers. The study reflects a recognition of AI’s transformative potential and its rapid improvement. However, it is essential to distinguish between genuine optimism and hype-driven enthusiasm. Salesforce’s Stance on AI and Trust Salesforce has taken a strong stance on trust in relation to AI, emphasizing the non-silver bullet nature of this technology. The company acknowledges the balance between enthusiasm and pragmatism that many executives experience. While there is optimism about trusting autonomous AI within three years, this prediction needs to be substantiated with real-world evidence. Some organizations are already leading in generative AI adoption, while many others express interest in exploring its potential in the future. Conclusion Overall, this study contributes significantly to the ongoing debate about AI’s future. The concept of “human at the helm” is compelling and highlights the importance of ethical considerations in the AI-enabled future. Goldman’s role in presenting this research underscores Salesforce’s commitment to responsible AI development. For more insights, check out her blog on the subject. 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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Refund the Police

Salesforce CEO Marc Benioff has called for San Francisco to “refund the police,” stating this on X (formerly Twitter) on Thursday. As the largest private employer in San Francisco, Salesforce’s stance carries significant weight. In his detailed tweet, Benioff emphasized the need for the San Francisco Police Department (SFPD) to be fully staffed and funded. “San Francisco must REFUND the Police not continue to DEFUND the Police. Our Police need to be empowered now — not this new terrible decision to end pretext stops. Our SFPD and Sheriffs are the absolute key to a safe and clean San Francisco every day,” he wrote. The Defund The Police movement, which gained traction in 2020, led San Francisco Mayor London Breed to reallocate $120 million from law enforcement to support the city’s Black community. However, Breed’s current budget plan includes funding to add 200 new officers to the SFPD by the end of the year. Benioff argued that the SFPD should have more than 2,000 officers, noting that the number had fallen below 1,400. According to the SFPD’s website, there are currently 1,862 sworn officers. Benioff outlined several other goals for the city, emphasizing the following points: Mayor Breed responded Thursday night, expressing agreement with Benioff’s statements and highlighting measures her office has implemented, including increasing the police budget and raising starting pay for SFPD officers. Benioff has previously voiced concerns about public safety in San Francisco, even threatening to move the 2023 Dreamforce conference out of the city if attendee safety could not be guaranteed. 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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Required Startup Mentality

Required Startup Mentality

Pivoting an established company’s business model is one of the most daunting challenges a CEO can face. When the new CEO of Zilliant took the company’s helm in 2022, the mandate was to accelerate growth and increase market share. It quickly became evident that success lay not in product updates or tech investments but in rethinking the organizational mindset. Required Startup Mentality. With a master’s degree in organizational behavior studies from the University of Illinois and extensive experience in organizational transformations, the CEO understood the process typically follows one of two paths: changing an existing culture or building one from scratch. High-profile examples provide inspiration for both approaches. Satya Nadella, upon becoming CEO of Microsoft in 2014, transformed the company from a “know-it-all” to a “learn-it-all” culture, fostering a growth mindset. Conversely, Marc Benioff of Salesforce instilled the “ohana” culture of family spirit, trust, and equality from the company’s inception. The CEO, having been immersed in Salesforce culture for over a decade, learned the importance of a robust support system for employees and customers. Upon joining Zilliant, the CEO brought lessons from Salesforce to the new role. Zilliant, a company with 23 years of history and a long-standing CEO, Greg Peters, had thrived in price optimization. However, to evolve further, the company needed to adopt a startup mentality. This approach included scrutinizing every budget line item, incorporating a new marketing playbook, and, crucially, leveraging existing talent in new ways. Identifying influencers within the company and placing them in positions of broader influence proved to be an effective strategy. Required Startup Mentality of leaders. This group of long-time employees, respected and experienced, became the “change champions.” Their elevated profile across the organization facilitated listening and acting on peer feedback, making the traditionally challenging task of cultural transformation more manageable. Initially, there was a struggle to clearly articulate the future vision. The transitional period was marked by confusion rather than resistance. This experience underscored the importance of vision and constant communication during transformation. The CEO discovered that merely communicating new company values wasn’t sufficient. Creating a unified vision with full conviction from the executive team was essential. Significant time was spent defining this vision in granular detail, learning from the successes and failures of other companies. Once the leadership team was aligned, this conviction was cascaded through the ranks. Instead of dictating change, employees were invited into the process through feedback sessions and pilot programs, giving them a stake in redefining cultural norms. Celebrating small wins, even if they’re a “loss,” was emphasized to support learning from missteps. Modeling desired behaviors, systematically updating policies, incentives, and processes reinforced the new mindsets and actions. It was an arduous journey, but staying intentional and bringing people along was crucial for evolving into the envisioned culture. Through the transformation, one principle remained constant: customers must see Zilliant as a partner rather than a vendor. This required individuals in every department—marketing, sales, customer success, product, and engineering—to proactively address and solve customer problems. Transitioning to a new business model and rethinking organizational mindset is a long-term effort requiring vision and commitment from all levels. The payoff, however, can be immense. Already, Zilliant has delivered two consecutive quarters of 60%-plus growth in year-over-year bookings and is positioned for continued record growth through the end of the year. 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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Salesforce Agentforce Platform

Salesforce Agentforce Platform

Salesforce CEO Marc Benioff has hinted at the upcoming launch of a new AI and automation platform geared towards customer support. Salesforce Agentforce Platform. In anticipation of September’s Dreamforce event, Benioff used X, formerly Twitter, to offer a sneak peek into the platform, specifically highlighting its customer-facing “Einstein Service Agent.” In his post, Benioff underscores the essential features of the virtual agent, emphasizing how it will seamlessly blend digital and human-assisted support to expedite case resolutions. This blended experience appears to build upon the technology integrated into Salesforce following its acquisition of Airkit.ai in 2023. Airkit.ai provides a low- to no-code bot-building platform that empowers businesses to orchestrate AI-driven conversational experiences. Primarily used for service automation, Airkit enables firms to design and automate complex cross-platform workflows, enhancing automated customer interactions across Salesforce applications. The Einstein Service Agent, positioned within Salesforce’s broader Einstein 1 vision, leverages Data Cloud to create a unified, cross-functional data ecosystem. Benioff hints at the agent’s capability to span service, sales, marketing, and commerce functionalities, underscoring its pivotal role within the Salesforce ecosystem. Expanding on Airkit.ai’s foundational capabilities, Salesforce has integrated Mulesoft to enable insights triggering cross-platform automations, alongside real-time data harmonization within Data Cloud. Moreover, the platform now incorporates generative AI (GenAI), enhancing its ability to interpret text, images, and audio/video for diverse customer engagement scenarios. Despite these advancements, Benioff acknowledges that no virtual agent, even with GenAI augmentation, can resolve every customer query alone. Salesforce ensures omnichannel transfers and human handoffs to address more complex issues effectively. In an era where many vendors offer similar conversational AI capabilities, Salesforce distinguishes itself through ecosystem integration and orchestration. Benioff emphasizes the value of low- to no-code workflow orchestration, democratizing AI technology for non-programmers and fostering an inclusive AI revolution. Expect Benioff to elaborate further on these themes and unveil more details about the Agentforce Platform during his keynote at the 2024 Dreamforce event. 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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Salesforce Tiny Giant LLM

Salesforce Tiny Giant LLM

‘On-device Agentic AI is Here!’: Salesforce Announces the ‘Tiny Giant’ LLM Salesforce CEO Marc Benioff is excited about the company’s latest innovation in AI, introducing the ‘Tiny Giant’ LLM, which he claims is the world’s top-performing “micro-model” for function-calling. Salesforce’s new slimline “Tiny Giant” LLM reportedly outperforms larger models, marking a significant advancement in on-device AI. According to a paper published on Arxiv by Salesforce’s AI Research department, the xLAM-7B LLM model ranked sixth among 46 models, including those from OpenAI and Google, in a competition testing function-calling (execution of tasks or functions through API calls). The xLAM-7B LLM was trained on just seven billion parameters, a small fraction compared to the 1.7 trillion parameters rumored to be used by GPT-4. However, Salesforce highlights the xLAM-1B, a smaller model, as its true star. Despite being trained on just one billion parameters, the xLAM-1B model finished 24th, surpassing GPT-3.5-Turbo and Claude-3 Haiku in performance. CEO Marc Benioff proudly shared these results on X (formerly Twitter), stating: “Meet Salesforce Einstein ‘Tiny Giant.’ Our 1B parameter model xLAM-1B is now the best micro-model for function-calling, outperforming models 7x its size… On-device agentic AI is here. Congrats Salesforce Research!” Salesforce’s research emphasizes that function-calling agents represent a significant advancement in AI and LLMs. Models like GPT-4, Gemini, and Mistral already execute API calls based on natural language prompts, enabling dynamic interactions with various digital services and applications. While many popular models are large and resource-intensive, requiring cloud data centers and extensive infrastructure, Salesforce’s new models demonstrate that smaller, more efficient models can achieve state-of-the-art performance. To test function-calling LLMs, Salesforce developed APIGen, an “Automated Pipeline for Generating verifiable and diverse function-calling datasets,” to synthesize data for AI training. Salesforce’s findings indicate that models trained on relatively small datasets can outperform those trained on larger datasets. “Models trained with our curated datasets, even with only seven billion parameters, can achieve state-of-the-art performance… outperforming multiple GPT-4 models,” the paper states. The ultimate goal is to create agentic AI models capable of function-calling and task execution on devices, minimizing the need for extensive external infrastructure and enabling self-sufficient operations. Dr. Eli David, Co-Founder of the cybersecurity firm Deep Instinct, commented on X, “Smaller, more efficient models are the way to go for widespread deployment of LLMs.” 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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Einstein Copilot - A Valued Team Member

Einstein Copilot – A Valued Team Member

What Can Salesforce Einstein Copilot AI Really Do? Einstein Copilot – A Valued Team Member To find out, let’s virtually attend a live demo of the service March 2024. The short answer to the question is “whatever your business needs,” but with a common caveat in AI demos: beware of hallucinations. Keeping Data SafeLet’s rewind a bit. Back in September, Salesforce unveiled Einstein Copilot at Dreamforce, emphasizing customer data safety as a key selling point. Salesforce CEO Marc Benioff stated, “Your data isn’t our product.” Then, in February, the product entered public beta. Salesforce re-emphasized that the Einstein Trust Layer, designed to protect customer data, was a critical reason why customers could trust the responses and actions of Salesforce Einstein Copilot. At the demo safety was again a primary focus. Salesforce Product Management leads Gary Brandeleer and Jaswinder Rattanpal highlighted that Einstein is designed to differentiate between sensitive and non-sensitive data and to verify if the end-user has appropriate access rights for their query. These measures prevent leaks of confidential information and also minimize the impact of any potential “hallucinations” by compartmentalizing data. Rattanpal offered a word of caution: “While we have these amazing tools, be careful because we are not at a stage when they can be 100% trusted. Always have a human in the loop, especially when dealing with information that may become public.” Maximizing EfficiencySalesforce’s emphasis on data safety is wise, and its more than 150,000 customers worldwide will appreciate it. However, the real appeal of Einstein Copilot lies in the efficiency it offers. This efficiency stems from two key principles that drive Salesforce’s approach to AI. The first principle is that AI copilots fundamentally change how humans interact with software. Instead of navigating through clicks and menus, users can ask questions and receive answers directly, making software interaction more conversational. This shift can potentially transform software development and reduce the time required to complete tasks, particularly in sales, marketing, and customer service. Users can access Einstein across Salesforce’s interface. One click launches the assistant, which can execute tasks while the user attends to other duties. This reduces the time spent sifting through information to find answers. During the demo, Rattanpal showcased how Einstein could summarize an account’s financial history and populate different fields with data from a single prompt. Customization and AvailabilityThe second principle is the mix of customization and availability. Salesforce aims to allow users to deploy Einstein Copilot across any desired modules and to customize these deployments to suit each customer’s specific needs. Recognizing that its vast customer base has diverse requirements, Salesforce makes Einstein flexible yet grounded in a safety-first approach. Admins can customize Einstein using Copilot Builder, Prompt Builder, and Model Builder, each offering different levels of customization. Standard actions, like “write an email,” require minimal development, while custom actions typically involve more intricate setups. More Than a Copilot: A CoworkerThese capabilities often make Einstein feel more like a valued team member than a mere copilot. During the demo, Brandeleer showed how Einstein could determine whether a sales opportunity was worth pursuing—a subjective query that Einstein backed with a dozen data-driven reasons. This level of analysis, which would take a human hours or days to compile, underscores Einstein’s potential to exceed human efficiency and objectivity. When an AI can provide better answers to subjective questions than a human, it transcends being a simple tool. If it can effectively manage hallucinations, the question becomes: what can’t Einstein do? Salesforce Einstein Copilot stands out not only for its robust data safety measures but also for the significant efficiency and customization it offers. With its advanced capabilities, Einstein has the potential to revolutionize how businesses handle routine and complex tasks, making it an invaluable asset for any organization. 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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Generative AI Glossary

Key Questions to Ask About Generative AI Before Diving into the Gene Pool

As generative AI plays an increasingly significant role in shaping business decisions and reshaping customer relationships, leaders must grasp the potential.  This means use cases, and risks associated with AI. The good, the bad, and the ugly.  Questions to Ask About Generative AI gene pool. The journey begins with asking pertinent questions. Are you feeling overwhelmed by generative AI yet? The multitude of questions that businesses need to address regarding AI—covering technology, skills, privacy, data, and organizational requirements, among others—can be seemingly endless. Knowing where to start and identifying the most crucial AI-related questions before jumping into implementation can be challenging.  But it is totally worth the time. “Many organizations are venturing into AI for the first time. They are transitioning from predictive AI, machine learning, or deep learning to explore the next generation of AI for elevating productivity.” Marc Benioff, CEO of Salesforce While the demand and potential of AI are substantial, so are the associated risks. To assist in navigating this landscape, here’s a snapshot: Employee View: Exec Summary: Your Next Move: By Tectonic’s Marketing Consultant, Shannan Hearne 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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Salesforce is Hiring

Salesforce is Hiring

Salesforce is hiring approximately 3,000 new employees, CEO Marc Benioff announced in an interview with Bloomberg this week. This hiring initiative comes after the company laid off 10% of its workforce earlier this year as part of a significant cost-cutting effort. Salesforce is hiring. Yahoo story here. In January, Salesforce announced the layoffs of 8,000 employees, reducing its workforce from around 79,390. The job cuts were met with internal backlash, with employees criticizing the handling of the layoffs. According to Insider’s Ashley Stewart, staff were left in the dark, having to use Slack to check who among their colleagues had been let go, likening the experience to checking a missing persons bulletin board after a disaster. Despite the recent layoffs, Benioff is now focused on growth and expansion. He emphasized the need for new hires in a Bloomberg interview during Salesforce’s annual conference in San Francisco. “Our job is to grow the company and to continue to achieve great margins,” Benioff stated. “We know we have to hire thousands of people.” The new employees will be distributed across various departments, including sales, engineering, and the data cloud product teams. These roles are crucial as Salesforce aims to bolster its artificial intelligence business and attract further investments. Chief Operating Officer Brian Millham also spoke to Bloomberg, highlighting the company’s successful business segments and the need for a surge in those areas. Millham explained, “We have some very successful parts of our business right now, and we want a surge in those areas.” This strategic hiring push aims to capitalize on these thriving sectors, driving Salesforce’s continued growth and innovation. In an effort to bring back former employees, Benioff is particularly interested in attracting “boomerangs”—those who left Salesforce for other opportunities. He shared with Bloomberg that he recently held an “alumni event” to encourage these former employees to return, reassuring them that it is “OK” to come back to the company. This move signifies a shift in Salesforce’s strategy, from drastic cost-cutting measures to a renewed focus on expansion and talent acquisition. By rehiring experienced former employees and bringing in new talent, Salesforce aims to strengthen its workforce and position itself for future success. 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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Benioff Dreams of AI Making Messaging Intelligent

Benioff Dreams of AI Making Messaging Intelligent

During the company’s recent earnings call, Salesforce CEO Marc Benioff spoke about the “revolutionary” impacts of generative AI, emphasizing the immense potential it holds for the tech industry. Benioff Dreams of AI Making Messaging Intelligent. Benioff highlighted Salesforce’s integration of OpenAI’s ChatGPT platform into Slack, the workplace messaging app owned by Salesforce. This integration aims to enhance Slack’s capabilities by enabling features such as conversation summarization, research assistance, and message drafting directly within the platform. Benioff expressed his vision for Slack to become intelligent itself, leveraging the wealth of data stored within the platform. He emphasized the transformative potential of generative AI in providing intelligent support to users, potentially revolutionizing customer service interactions and business operations. Salesforce’s clients, including Gucci, are already leveraging AI to enhance customer service experiences, reflecting the growing adoption of AI-driven solutions across various industries. Generative AI offers benefits such as time-saving automation of routine tasks, efficient research gathering, and concise information delivery, benefiting individuals in personal, professional, and academic contexts. However, concerns regarding the ethical implications of generative AI have also surfaced, including issues related to deepfake images, bias, and potential job displacement. Some advocate for stricter regulation and careful assessment of AI’s risks before further development. Benioff Dreams of AI Making Messaging Intelligent Despite these concerns, Benioff remains optimistic about the transformative potential of generative AI, describing it as a revolution that will reshape the world in unprecedented ways. He believes that we are only at the beginning of this AI revolution, with much more innovation and transformation yet to come. 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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New Nonprofit Cloud

The New Nonprofit Cloud

Salesforce.org recently announced the “New Nonprofit Cloud,” and Lori Freeman shared this update in the Trailblazer Community. Here’s a summary of the key points: Salesforce.org is rolling out an entirely new suite of technology solutions for nonprofits over the next few years, collectively named “Nonprofit Cloud.” These solutions will not be based on, nor compatible with, current offerings like NPSP. For now, there is no immediate need to focus on “Nonprofit Cloud.” Importantly, Nonprofit Pricing remains unchanged, with ten free licenses still available. However, licenses for the 11th and subsequent users under Nonprofit Cloud will be more expensive than standard licenses. There’s much more to this announcement, some of which wasn’t included in the official communication. It’s worth discussing these aspects in detail. Pricing Salesforce’s value for nonprofits lies in the Power of Us program, which donates the first ten licenses free of charge, and in the discounts applied to other Salesforce products. This remains unchanged. Before TrailblazerDX, assurances were given that this would not change. A question was raised during True To The Core, seeking a public commitment from Salesforce. Parker Harris’ response, along with Lori’s post and other communications, provide confidence in Salesforce’s ongoing support for nonprofits, though one should always remain cautious when relying on corporate commitments. However, pricing beyond the free licenses is not straightforward, likely due to Salesforce.org’s integration with Industries. Even Salesforce.org staff might not fully grasp the intricacies of licensing and pricing yet. What’s understood is that Nonprofit Cloud will be its own SKU, essentially bundling a Sales Cloud license, a Service Cloud license, and access to Industries-based functionality. All ten licenses granted to new organizations on the Nonprofit Cloud will include this entire bundle. This means that the P10 License Grant has expanded, as this bundle is more expensive and comes with additional technology. For the 11th license and beyond, organizations can choose: This pricing reflects no change from current rates. The uncertainty lies in what functionality will be unavailable to users with only a Lightning Enterprise Edition license compared to those on a Nonprofit Cloud license, and even more so for users on Platform licenses. The extent of “Industries” functions these users will lose, and what parts of the yet-to-be-seen Nonprofit Cloud application will be inaccessible, remain unknown. The Technology The newly announced Nonprofit Cloud is not yet ready for immediate use. Migration to this new platform should not be rushed, as it will be a significant undertaking with no immediate benefits. It’s expected that most organizations will delay this transition for several years, possibly more. If your current system is functioning well, there’s no need to fix it. If you are ready to make the jump, Tectonic is here to assist. For organizations starting fresh, the decision is challenging: This is not an easy choice, and one might be torn between the first and third options. To the extent that “it” can be purchased, few have seen what “it” truly is. When released, it will be a “minimum viable product,” with some cynics possibly viewing it as a “paid beta.” While one might hope for a “minimum lovable product,” it’s best not to hold your breath. Initial rollouts will include program management, followed by impact measurement, with fundraising features not expected until fall. It’s likely none of these will have full feature parity with their current equivalents, although they should offer some new, appealing features. Salesforce has also stated there are no plans for a new payment processing platform akin to Elevate. There’s still much uncertainty about what the actual Nonprofit Cloud product will offer. It’s barely available for anyone to test. Although there’s some way for partners to access a learning environment, it’s clear that what’s coming in the next few releases will be minimum viable, so there’s no urgency to adopt it. The only certainty is that Nonprofit Cloud will use Person Accounts, marking a significant data model shift. While this may require some adjustment, it’s not likely to be a major issue for most organizations due to storage increases in recent years. The plan is to ignore Nonprofit Cloud for at least a year, possibly two or three. Eventually, it might mature enough to consider adoption. Timing of Announcements It’s important to note that many did not learn of this on 3/14. Salesforce.org had embargoed meetings with Salesforce MVPs, partners, and possibly larger nonprofit customers starting in late fall 2022. Salesforce.org made some communication missteps that caused significant concern. There were initial fears about whether the Power of Us donation would disappear or if certain offerings would become more expensive. Then there were technical concerns about compatibility and the costs associated with migrating to the new platform, compounded by uncertainty over whether organizations would be forced to migrate. The layoffs at Salesforce, which seemed to disproportionately impact Salesforce.org, added to the anxiety. The absorption of Salesforce.org, the integration of the Power of Us Hub into the broader Trailblazer Community, the shift to Industries core architecture, and the layoffs all raised questions about whether nonprofits are now viewed as “just another industry vertical” by Salesforce. However, it’s clear from the above discussion that those fears and questions have been addressed. This detachment didn’t come immediately, so it’s understandable if others need time to reach this level of perspective. Holding this information under NDA was challenging, as it was more of a discussion opener than a concrete announcement. It’s a relief to finally discuss this openly. What Does this Announcement Signal About Salesforce.org? Salesforce—or even Salesforce.org—has never been an altruistic entity. Marc Benioff, in his books and keynotes, positions himself as a capitalist, believing that “business is the greatest force for good.” Salesforce is a capitalist enterprise, a multi-billion dollar corporation that exists to make money. It’s essential to recognize this reality. The 1-1-1 model and Salesforce’s support for nonprofits are commendable, but it’s crucial to see these actions for what they are—noblesse oblige. Salesforce.org was once a “social enterprise,” but perhaps its evolution has made this term

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AI Drives Insights

AI Drives Insights

Innovations from Salesforce, HubSpot, and One AI are driving deeper insights and streamlining processes. Key Takeaways: AI is transforming the way businesses operate, and customer relationship management (CRM) is no exception. AI has been influencing the CRM space for years, but its impact is now reaching new heights. By harnessing AI algorithms, modern CRM systems offer predictive analytics and deeper insights, enabling brands to understand their customers on an unprecedented level. Advanced AI-enabled CRMs even incorporate sentiment analysis to gauge customer perceptions and provide automation tools to free marketers from mundane tasks. The global AI market, currently valued at 2.3 billion, continues to expand rapidly. From 2020 to 2022, annual corporate investments in AI startups increased by $5 billion, reflecting the growing demand for AI-driven innovations. As CRM vendors introduce more AI capabilities, it’s important to understand the unique approaches each one takes to differentiate themselves and deliver specific benefits. Salesforce and Einstein GPT: A New Era with OpenAI’s ChatGPT On March 7, 2023, Salesforce introduced Einstein GPT, a generative AI technology integrated into its CRM platform. Combining real-time data from Salesforce’s Data Cloud with OpenAI’s ChatGPT, Einstein GPT allows users to input natural-language prompts to streamline tasks and decision-making. Salesforce has long invested in AI. In 2017, it launched its Einstein AI as part of Service Cloud. By 2019, Salesforce had partnered with OpenAI to explore AI research and integrate advanced models into its ecosystem. The acquisition of Slack in 2020 further strengthened its AI capabilities by incorporating advanced messaging and communication tools into the CRM environment. Marc Benioff, CEO of Salesforce, highlighted the significance of AI’s growth: “The world is experiencing one of the most profound technological shifts with real-time technologies and generative AI. This comes at a pivotal moment as every company is focused on connecting with their customers in more intelligent, automated, and personalized ways.” Einstein GPT is set to transform customer engagement, with applications across Salesforce’s various platforms, including Tableau, MuleSoft, and Slack. HubSpot CRM: AI-Powered Content Assistant A day before Salesforce’s AI announcement, HubSpot revealed its own AI-powered features: the Content Assistant and ChatSpot.ai. These tools aim to enhance CRM users’ productivity while creating stronger connections with customers. HubSpot’s Content Assistant helps marketing and sales teams ideate, create, and share content through generative AI capabilities. It can suggest blog titles, create content outlines, and assist with crafting content for blogs, emails, landing pages, and websites. ChatSpot.ai, on the other hand, offers a natural-language chat experience to simplify CRM tasks for HubSpot users. HubSpot has also invested in AI for other functions, including conversation intelligence, data enrichment, predictive analytics, and content optimization, solidifying its position in the AI-driven CRM landscape. With AI advancements from companies like Salesforce, HubSpot, and One AI, the future of CRM is poised for enhanced efficiency, automation, and personalized customer interactions. 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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Salesforce Vlocity Acquisition

Salesforce Vlocity Acquisition

Salesforce’s Acquisition of Vlocity: A Game-Changer for the CRM Ecosystem The news of Salesforce acquiring Vlocity, though somewhat overshadowed by the end of Keith Block’s tenure as co-CEO, marks a significant milestone for the CRM giant and carries substantial implications for its ecosystem partners. Vlocity, one of the largest and fastest-growing Salesforce-native ISVs, did not initially foresee being acquired by its platform partner when it launched less than six years ago. Even after subtracting the undisclosed value of Salesforce’s own investment from Vlocity’s 3 million in venture funding, the .3 billion Salesforce plans to pay the remaining shareholders is a substantial return for a company projected to generate -80 million in revenue this year. This is based on Salesforce’s expectation of a million revenue contribution once the deal closes in the second quarter. Vlocity’s Ambitious Vision Vlocity’s founders had envisioned a much more ambitious trajectory, inspired by Veeva, the first Salesforce-native ISV to secure a stock market listing with its 2013 IPO, achieving a near billion valuation. Today, Veeva’s market cap is $22.3 billion. Vlocity aimed to replicate Veeva’s success on a larger scale, targeting multiple industries instead of just pharmaceuticals and life sciences. Founded in January 2014 by CEO David Schmaier and others with industry solutions backgrounds at CRM pioneer Siebel, Vlocity quickly developed solutions for four industries, including communications, media, insurance, and the public sector. These sectors presented an addressable market ten times larger than Veeva’s. Early customers like Telus and Sky Italia demonstrated an appetite for large-scale replacements of legacy systems. Vlocity’s portfolio now spans six industries: communications, media and entertainment, energy and utilities, insurance, healthcare, and government. Why Didn’t Vlocity Surpass Veeva? One crucial difference in Vlocity’s strategy compared to Veeva’s was its deliberate decision to keep its technology closely aligned with Salesforce’s platform. Vlocity adopted a sophisticated approach by building a packaged native application that remains continuously upgradeable with Salesforce’s platform. This extreme alignment ensured fully native compatibility for Vlocity’s customers throughout the product lifecycle but restricted its freedom compared to Veeva, which developed significant content management and regulatory workflow functionality outside Salesforce’s platform. Competition and the Misnomer of Industry Cloud Vlocity faced more intense competition than Veeva did when it started. By 2015, Salesforce was already promoting its own industry clouds, beginning with Financial Services Cloud, followed by Health Cloud, Manufacturing Cloud, and Consumer Products Cloud. Industry penetration was a key part of Keith Block’s mission after he joined Salesforce in 2013. While Vlocity was seen as an ally, Salesforce had to balance this with its growth prospects. Salesforce Vlocity Acquisition In hindsight, “industry cloud” might be a misnomer. Vlocity aimed to be unique, but other ecosystem partners were also targeting industry clouds. For example, Accenture developed a Salesforce-native vertical cloud solution for trade promotions in consumer goods and partnered with Vlocity for telecoms and media offerings. The retail banking edition of Salesforce Financial Services Cloud relies heavily on nCino’s industry solution. The middle office segment, which includes processes between CRM (front office) and ERP (back office), also plays a role in the industry cloud. Middle office processes vary by industry, with companies like Apttus, Rootstock, and FinancialForce targeting specific verticals. Salesforce’s acquisitions in CPQ, ecommerce, and B2B commerce have supported its enterprise deals across various industries. The Future for Salesforce ISVs The acquisition of Vlocity expands Salesforce’s industry cloud offerings and fuels its growth. As part of Salesforce, Vlocity has greater potential to grow than if it remained independent. This deal also includes an acquihire element, with Marc Benioff expressing excitement about David Schmaier joining Salesforce. Factors like the close relationship between Vlocity and Salesforce played a role in the acquisition, as Marc Benioff suggested during the earnings call. Analyst Ray Wang speculated that the move prevents competitors, like Google, from acquiring Vlocity. If Vlocity’s IPO dream has ended this way, it suggests that other Salesforce-native ISVs may also struggle to achieve independence. ServiceMax, for instance, was acquired by GE in 2016, only to be spun out to private equity buyer Silver Lake two years later. Salesforce recently became an investor in ServiceMax again, making its eventual acquisition seem almost inevitable. For Salesforce-native ISVs, this acquisition underscores the reality that, much like the a one way train, however much you may want to get off, you can not. 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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Salesforce Job-Training Initiative

Salesforce Job-Training Initiative

Salesforce.com Inc, a San Francisco-based cloud software company, announced on Thursday that it is joining a White House Salesforce Job-Training Initiative to provide new skills training for U.S. workers. The company, known for its internet-based software used by sales and marketing departments, plans to offer online training to up to 500,000 workers for jobs involving Salesforce’s software systems. However, the company did not disclose the financial commitment for this effort. The White House’s “Pledge to America’s Workers” initiative, launched last year, has over 200 participating companies. Salesforce CEO Marc Benioff is set to announce the news at an event in Indiana with Ivanka Trump, where Salesforce employs nearly 2,000 people. Benioff, who purchased Time magazine last year, is recognized for his support of progressive policies. Notably, he supported a tax increase on large businesses in San Francisco to fund homelessness solutions, a measure that San Francisco voters approved. Salesforce faced criticism from a Texas immigrant rights group last year for providing software to U.S. Customs and Border Protection. In response, Benioff highlighted that the company’s philanthropic arm donated over $1 million to organizations aiding migrant families at the U.S.-Mexico border. 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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