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Einstein GPT Links to Flow and Data Cloud

Einstein GPT Links to Flow and Data Cloud

Salesforce Harnesses AI and Data Integration to Drive Autonomous, Intelligent Enterprise-Einstein GPT Links to Flow and Data Cloud Salesforce is forging ahead with innovative advancements, seamlessly integrating Einstein GPT and Data Cloud into Flow to propel the autonomous, intelligent enterprise. This article explores how these technologies collaborate to enhance customer experiences and streamline business operations. Einstein GPT Links to Flow and Data Cloud for Intelligent Enterprise Einstein GPT, Salesforce’s groundbreaking generative AI CRM technology, merges proprietary AI models with cutting-edge generative AI from diverse partners, alongside real-time data from the Salesforce Data Cloud. With Einstein GPT, users can leverage this data within their Salesforce CRM to generate adaptive content using natural-language prompts, responding dynamically to evolving customer information and preferences. The Data Cloud consolidates a company’s customer data from various channels into a unified, real-time customer profile. By empowering Flow with the Data Cloud, customers can automate intricate workflows triggered by real-time changes. Flow paired with Einstein GPT offers a conversational interface for creating and adjusting automation, significantly simplifying the process and reducing barriers for non-technical users. Einstein GPT Across Sales, Service, Marketing, and Development Salesforce introduces Einstein GPT across Sales, Service, Marketing, and Development to automate tasks such as composing emails, scheduling meetings, generating knowledge articles from case notes, and crafting personalized content across multiple platforms. Developers benefit from enhanced productivity with AI-driven code generation and assistance using Salesforce Research’s language model. By combining Einstein AI models with ChatGPT or similar models, customers can use natural-language prompts on CRM data to trigger powerful automation and generate personalized content efficiently. Generative AI Fund Salesforce Ventures launches a $250 million Generative AI Fund to invest in promising startups, bolster the startup ecosystem, and advance responsible and trusted generative AI technologies. Real-World Applications Flow, empowered by the Data Cloud, enables businesses to personalize every interaction. For instance, marketers optimize retail experiences with real-time data-driven automation for in-store discounts, while financial services automate fraud detection by flagging suspicious transactions. Manufacturing companies enhance efficiency by monitoring machine performance and automating maintenance requests based on real-time data. Einstein GPT Links to Flow and Data Cloud Real-time automation transforms energy solution commissioning. Salesforce automation streamlines energy production snapshots and system registration for incentives, enhancing operational efficiency and ensuring customer satisfaction. Salesforce is leading the charge in revolutionizing AI-driven content and real-time data integration to automate workflows and deliver personalized customer experiences. The integration of Einstein GPT and Data Cloud into Flow simplifies automation creation and fosters accessibility for all users. With the launch of Einstein GPT for diverse business functions and the Generative AI Fund, Salesforce demonstrates its commitment to responsible, trusted, and innovative AI solutions. Across industries, Salesforce is paving the way for a future powered by autonomous, intelligent enterprises. 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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Sales Cloud Einstein

Salesforce Einstein Explained

Einstein serves as Salesforce’s integrated AI layer, intricately woven into nearly every Salesforce Cloud. Salesforce Einstein Explained. While certain features, like Opportunity Scoring in Salesforce, are now offered at no cost, many Einstein functionalities are premium add-ons for essential Salesforce products like Sales, Service, Commerce, and Marketing Cloud. A notable development came in March 2023 when Salesforce introduced Einstein GPT, an extension of the Einstein product. This groundbreaking application leverages the ChatGPT platform from OpenAI, renowned for its widespread popularity, and is anticipated to be released later this year. Thereby incorporating generative AI into many Salesforce cloud features. Salesforce AI delivers trusted, extensible AI grounded in the fabric of our Platform. Utilize our AI in your customer data to create customizable, predictive, and generative AI experiences to fit all your business needs safely. Bring conversational AI to any workflow, user, department, and industry with Einstein. Salesforce Einstein is the only comprehensive Artificial Intelligence for CRM. It is data ready to work in your Salesforce org and clouds. Einstein is an integrated set of AI technologies that make the Customer Success Platform smarter. Einstein is the only comprehensive AI for CRM. It is: Einstein enables you to become an AI-first company so you can get smarter and more predictive about your customers. What can you do with Einstein? Drive productivity and personalization with predictive and generative AI across the Customer 360 with Salesforce Einstein. Create and deploy assistive AI experiences natively in Salesforce, allowing your customers and employees to converse directly with Einstein to solve issues faster and work smarter. Empower sellers, agents, marketers, and more with AI tools safely grounded in your customer data to make every customer experience more impactful. Build and customize a conversational AI assistant for CRM. Einstein Copilot is a trusted, generative-AI powered assistant built into the user experience of every Salesforce application. Whether employee-facing or customer-facing, Einstein Copilot can automatically reason through tasks based on pre-built skills. Use prompts, APIs, apex, and more to customize your own AI assistant. 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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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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Einstein GPT and AI-Powered CRM

Einstein GPT and AI-Powered CRM

As many of you are already aware, ChatGPT has become a prominent term in AI chatbot systems. It leverages predictive computing to respond to user questions and queries, spanning from recipes for favorite dishes to new song lyrics or even code writing assistance. It’s quite thrilling, isn’t it? Einstein GPT and AI-Powered CRM bring forth the world’s first generative AI tool for customer relationship management. In this insight, we’ll introduce you to Einstein GPT, a fusion of proprietary Einstein AI models with ChatGPT or other leading large language models. We’ll dig into its applications across sales, service, marketing, and development. Firstly, GPT stands for Generative Pre-Trained Transformer, an AI framework that generates text from datasets and offers human-like responses to user queries. Einstein GPT and AI-Powered CRM. Einstein GPT marks the world’s inaugural implementation of generative AI CRM technology, delivering AI-generated content across sales, service, marketing, commerce, and IT interactions, at scale. Although currently in a closed pilot phase, it’s set to transition to the BETA phase soon. Now, let’s explore how Einstein GPT can assist sales representatives in composing emails. How Einstein GPT Can Enhance Sales?Imagine you’re an Account Executive (AE) charged with engaging the prospect account, Escape LTD. You can kickstart by asking Einstein Assistant to provide an overview of the account, including recent news. It furnishes details instantly, eliminating the need for manual research (Time saver#1). Based on the information provided, it appears they are expanding operations to the US. You can delve deeper by exploring top contacts for the US expansion initiative. Mara Williams, the VP of sales, emerges as a key contact. Einstein has already identified the corresponding contact record for you (Time saver#2) and conveniently offers a “Compose Email” button to draft a personalized email to Mara instantly. Clicking on it generates a tailored email for you, ready to be copied into the email composer (Time saver#3). If you prefer a less formal tone, you can request Einstein to adjust accordingly (Time saver#4). You can also instruct Einstein to create a private Slack channel for real-time communication with Mara. Notably, it not only generates the link but also includes it in the email (Time saver#5). Once satisfied with the email, simply hit “Send,” and it’s on its way. We’ve added “Time saver#” just for fun, but truthfully, these are genuine time savers that you’ll appreciate when using Einstein GPT. As we know, an AE’s time is better spent interacting with customers than on email composition, meeting scheduling, or CRM data entry. As demonstrated above, composing emails is a breeze, showcasing how Einstein GPT streamlines sales processes. There’s much more Einstein GPT can do for Sales: Retrieve information on top contacts.Integrate sign-up forms.Extract insights about new accounts.Generate leads, and much more. As mentioned earlier, Einstein GPT extends its benefits to Service, Marketing, and Developers too: Einstein GPT for Service: Generate knowledge articles from past case notes, and auto-generate personalized agent chat replies for enhanced customer satisfaction. Einstein GPT for Marketing: Dynamically generate personalized content to engage customers across various channels. Einstein GPT for Developers: Boost developer productivity by generating code and addressing queries in languages like Apex. Pretty cool, right? We’re equally excited at Tectonic to witness Einstein GPT’s general availability. If you’re eager to learn more or need additional information about Einstein GPT, feel free to reach out— Tectonic is here to assist. 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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Salesforce Service Cloud Einstein

Salesforce Service Cloud Einstein

Einstein for Service is a robust suite of time-saving Artificial Intelligence features designed to empower agents in delivering exceptional customer service experiences. Salesforce Service Cloud Einstein-learn more. Customer service has evolved from being a cost center to a growth driver, and leading companies are prioritizing customer service to increase brand loyalty. In Service Cloud Einstein, various AI technologies, such as Machine Learning (ML), deep learning, predictive analytics, Natural Language Processing (NLP), and smart data discovery, work collaboratively to enhance customer support, providing faster and better service. Salesforce Einstein, recognized as the world’s first “generative AI” built for CRM, seamlessly integrates into multiple Salesforce products, including Marketing Cloud, Sales Cloud, and Service Cloud. Sales Cloud incorporates Einstein in the form of eight essential tools: Salesforce Einstein, since its inception in 2016, has been at the forefront of CRM AI technology, delivering personalized and predictive experiences for enhanced professionalism. Salesforce Service Cloud is a CRM platform focused on providing service and support to business customers. It is an extension of the Sales Cloud product tailored for sales professionals. Service Cloud Einstein is utilized by notable companies like Thomson Reuters, Southern Glazer’s Wine and Spirits, Cisco, and Skillsoft. Service Cloud Einstein benefits businesses by providing efficient customer service, with Einstein GPT responding promptly to inquiries, offering precise responses, enhancing customer satisfaction, and reducing resolution time. Studies show that in the same time 3 customers could be serviced before Service Cloud Einstein, now ten can be taken care of. The difference between Einstein GPT and ChatGPT lies in their design, with Einstein GPT specifically tailored for Salesforce users and clouds, while ChatGPT is a more versatile model for general use. Einstein is available for free with Salesforce’s Developer Edition, providing access to most platform features for building and testing custom applications and integrations using Einstein. Salesforce Sales Cloud and Service Cloud differ in their focus, with Sales Cloud concentrating on sales processes, while Service Cloud centers around customer service and support. Einstein remains the overarching AI brand for Salesforce, present across the portfolio, including within Tableau. Einstein Discovery is available as part of Tableau CRM Plus or through Einstein Predictions. Are you ready to explore the power of Einstein in your Salesforce Service Cloud implementation? Contact Tectonic today. Tectonic is please to announce Salesforce Service Cloud Implementation Solutions. Content updated January 2024. 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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Slack and ChatGPT

Slack and ChatGPT

Salesforce Inc announced its collaboration with OpenAI, the creator of ChatGPT, to integrate the chatbot technology into its Slack collaboration software and broaden the use of generative artificial intelligence across its business software. The San Francisco-based company unveiled EinsteinGPT, a technology merging its own AI capabilities with those of external partners like OpenAI. This collaboration aims to assist businesses in tasks such as drafting emails, managing customer accounts, and even generating computer code. Additionally, ChatGPT will integrate with Slack to help users summarize conversations and handle various queries. This strategic move reflects the competitive landscape among tech giants racing to enhance their platforms with generative AI, which can generate text, images, and other content based on historical data inputs. Microsoft Corp, for example, leveraging its investment in OpenAI, has integrated generative AI into its Teams product, enabling functionalities like generating meeting notes and suggesting email responses through its Viva Sales subscription. This places Teams in direct competition with Slack. Clara Shih, a general manager at Salesforce, highlighted during a press briefing that this announcement addresses the growing demand from businesses for advanced AI capabilities. She emphasized that Salesforce’s proprietary data and AI models would differentiate their offerings in the market. Salesforce’s initiative in generative AI is poised to transform customer engagement strategies for businesses, according to Shih, enabling them to innovate profoundly in their interactions with customers. In addition to this integration, Salesforce also unveiled a new fund aimed at investing in startups specializing in generative AI technologies. 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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Sales Cloud Einstein

Einstein GPT from Salesforce

Salesforce, the leading global CRM provider, has unveiled Einstein GPT, the world’s first generative AI CRM technology. Engineered to craft personalized content across sales, service, marketing, commerce, and IT interactions, Einstein GPT aims to enhance employee productivity and elevate customer experiences. While Salesforce had previously integrated AI into its ecosystem with Einstein AI, the introduction of Einstein GPT represents a notable advancement. Leaning on OpenAI’s capabilities, Einstein GPT is an empowered iteration of existing technology, aligning with Salesforce’s commitment to artificial intelligence technology adoption. Einstein GPT from Salesforce Einstein GPT operates as an open and extensible platform, leveraging trusted, real-time data for training. It facilitates public and private AI models tailored for CRM, integrating seamlessly with OpenAI to offer generative AI capabilities. This enables users to connect data to OpenAI’s advanced models or choose external models, employing natural-language prompts within Salesforce CRM for content generation that dynamically adapts to evolving customer information and needs. The technology infusion of Einstein GPT involves combining Salesforce’s proprietary AI models with generative AI tech from an ecosystem of partners and real-time data from the Salesforce Data Cloud. This combination allows the generation of personalized content, including emails for sales, responses for customer service, targeted content for marketers, and auto-generated code for developers. The collaboration with OpenAI extends Salesforce’s capabilities by merging OpenAI’s enterprise-grade ChatGPT with Salesforce’s private AI models. Additionally, Salesforce Ventures announced the Generative AI Fund. This is a 0 million investment initiative supporting startups to foster responsible, trusted, and generative AI development. Einstein GPT introduces various applications, such as Einstein GPT for Sales, Service, Marketing, and Developers. These applications empower users to auto-generate things they used to have to write. Sales tasks, enhanced customer service interactions, dynamically created personalized content, and improved developer productivity through an AI chat assistant. To further enhance collaboration, Salesforce and OpenAI introduced the ChatGPT for Slack app. Thus offering AI-powered conversation summaries. The research tools and writing assistance within the Slack platform are aided by Einstein.. Prominent organizations like HPE, L’Oréal, RBC US Wealth Management, and S&P Global Ratings have acknowledged the value of generative AI. They are all improving customer engagement. 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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AI All Grown Up

Understanding Generative AI and Predictive AI

Understanding Generative AI and Predictive AI: A Synergistic Approach Artificial Intelligence (AI) is broadly categorized into two key branches: Generative AI and Predictive AI. Both play a crucial role across various industries, from healthcare and fintech to logistics and education. Their impact is undeniable, driving efficiency, accuracy, and innovation. However, this is not a debate about Generative AI versus Predictive AI. Instead, it is an exploration of both branches and how they contribute to technological advancement. Let’s dive in. Generative AI vs. Predictive AI: An Overview Generative AI has been around for decades, with early iterations like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). While these earlier models saw limited enterprise adoption, the success of ChatGPT demonstrated the vast potential of Generative AI in producing articulate, human-like content. Conversely, Predictive AI is widely used across industries to correlate data and support decision-making. It is particularly prevalent in applications like cybersecurity, inventory management, and digital twin technology. Businesses increasingly recognize the benefits of both AI branches. From automating processes to creating digital replicas for scenario testing, AI applications continue to evolve. The goal now is not to compare Generative AI and Predictive AI, but to understand their mechanisms and potential for seamless integration. Are you fully leveraging AI in your enterprise? If not, or if you have questions, feel free to reach out. Now, let’s delve into how these AI branches work. What is Generative AI? Generative AI is transforming industries by producing text, code, music, and even videos. Companies use it to analyze vast datasets and generate content instantaneously. Key Applications of Generative AI: By 2026, over 80% of businesses are expected to incorporate Generative AI into their workflows. While implementation can be complex, expert guidance can help streamline the process. How Does Generative AI Work? Generative AI leverages machine learning (ML) and big data to analyze input forms—such as text, images, or sound—and learn their structures. Once trained, it generates new content without merely replicating existing data, making it a powerful tool for innovation. Generative AI in Action: If you’re uncertain about how to implement Generative AI in your business, consulting with experts can provide clarity. What is Predictive AI? Predictive AI, or predictive analytics, forecasts future outcomes based on historical data. It empowers businesses to make informed decisions by identifying patterns and trends. Key Applications of Predictive AI: Predictive AI improves decision-making capabilities by analyzing large datasets and refining machine learning algorithms. Integrating it with other analytics tools enhances its effectiveness and mitigates implementation challenges. Predictive AI in Action: Predictive AI’s ability to anticipate market trends and consumer behavior makes it a valuable tool for businesses looking to stay ahead. Generative AI vs. Predictive AI: Key Differences While Generative AI focuses on creating new content based on learned data patterns, Predictive AI forecasts future outcomes using historical data. These two models are not competing forces; rather, they complement each other in building comprehensive business strategies. Both models require a strong foundation in data governance and cybersecurity to ensure ethical and effective AI implementation. The Future of AI: Generative vs. Predictive According to McKinsey, the combined impact of Generative and Predictive AI could contribute up to $4.4 trillion annually to the global economy. What’s Next for AI? Generative AI: Predictive AI: Both Generative and Predictive AI are poised to shape the future of AI-driven industries. Businesses that embrace both models will gain a competitive edge in innovation and strategic decision-making. Conclusion Generative and Predictive AI are not opposing technologies; they are complementary forces that drive efficiency, accuracy, and creativity. Their applications span numerous industries, proving their immense value in today’s tech-driven world. Navigating AI implementation can be complex, but expert guidance can simplify the process. If you have questions about integrating AI into your business, consulting with professionals can help you harness its full potential. The future of business is deeply intertwined with AI—taking the right steps today will ensure success in the years ahead. Let Tectonic take you to the AI world. 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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ChatGPT and Einstein GPT

ChatGPT and Einstein GPT

Artificial intelligence (AI) has been rapidly advancing globally, with breakthroughs captivating professionals across various sectors. One milestone that has gained significant attention is the emergence of ChatGPT, a cutting-edge language model revolutionizing the tech landscape. This development has profoundly impacted businesses relying on Salesforce for their customer relationship management (CRM) needs. In March 2023, Salesforce unveiled its latest AI innovation, Einstein GPT, promising to transform how companies engage with their clientele. In this article, we explore what Salesforce Einstein GPT entails and how it can benefit teams across diverse industries. When OpenAI introduced ChatGPT in November 2022, they didn’t expect the overwhelming response it received. Initially positioned as a “research preview,” this AI chatbot aimed to refine existing technology while soliciting feedback from users. However, ChatGPT quickly became a viral sensation, surpassing OpenAI’s expectations and prompting them to adapt to its newfound popularity. Developed on the foundation of the GPT-3.5 language model, ChatGPT was specifically tailored to facilitate engaging and accessible conversations, distinguishing it from its predecessors. Its launch attracted a diverse user base keen to explore its capabilities, prompting OpenAI to prioritize addressing potential misuse and enhancing its safety features. As ChatGPT gained traction, it caught the attention of Salesforce, a leading CRM provider. In March 2023, Salesforce unveiled Einstein GPT, its own AI innovation, poised to transform customer engagement. Built on the GPT-3 architecture and seamlessly integrated into Salesforce Clouds, Einstein GPT promised to revolutionize how businesses interact with their clientele. Einstein GPT boasts a range of features designed to personalize customer experiences and streamline workflows. From generating natural language responses to crafting personalized content and automating tasks, Einstein GPT offers versatility and value across industries. By leveraging both Einstein AI and GPT technology, businesses can unlock unprecedented efficiency and deliver superior customer experiences. Despite its success, OpenAI acknowledges the need for ongoing refinement and vigilance, emphasizing the importance of responsible deployment and transparency in the development of AI technology. Exploring Einstein GPT Salesforce presents Einstein GPT as the premier generative AI tool for CRM worldwide. Utilizing the advanced GPT-3 architecture, Einstein GPT seamlessly integrates into all Salesforce Clouds, including Tableau, MuleSoft, and Slack. This groundbreaking technology empowers users to generate natural language responses to customer inquiries, craft personalized content, and compose entire email messages on behalf of sales personnel. With its high degree of customization, Einstein GPT can be finely tuned to meet the specific needs of various industries, use cases, and customer requirements, delivering significant value to businesses of all sizes and sectors. Objectives of Salesforce AI Einstein GPT Salesforce AI Einstein GPT is designed to achieve several key objectives: Distinguishing Einstein GPT from Einstein AI Einstein GPT represents the latest evolution of Salesforce’s Einstein artificial intelligence technology. Unlike its predecessors, Einstein GPT integrates proprietary Einstein AI models with ChatGPT and other leading large language models. This integration enables users to interact with CRM data using natural language prompts, resulting in highly personalized, AI-generated content and triggering powerful automations that enhance workflows and productivity. By leveraging both Einstein AI and GPT technology, businesses can achieve unparalleled efficiency and deliver exceptional customer experiences. Features of Einstein GPT in Salesforce CRM Key features and capabilities of Salesforce Einstein chatbot GPT include: Utilizing Einstein GPT for Business Improvement Einstein GPT can be leveraged across various domains to enhance business operations: Integration with Salesforce Data Cloud Salesforce Data Cloud, a cloud-based data management system, enables real-time data aggregation from diverse sources. Einstein GPT utilizes unified customer data profiles from the Salesforce Data Cloud to personalize interactions throughout the customer journey. OpenAI on ChatGPT Methods We trained this model using Reinforcement Learning from Human Feedback (RLHF), using the same methods as InstructGPT, but with slight differences in the data collection setup. We trained an initial model using supervised fine-tuning: human AI trainers provided conversations in which they played both sides—the user and an AI assistant. We gave the trainers access to model-written suggestions to help them compose their responses. We mixed this new dialogue dataset with the InstructGPT dataset, which we transformed into a dialogue format. To create a reward model for reinforcement learning, we needed to collect comparison data, which consisted of two or more model responses ranked by quality. To collect this data, we took conversations that AI trainers had with the chatbot. We randomly selected a model-written message, sampled several alternative completions, and had AI trainers rank them. Using these reward models, we can fine-tune the model using Proximal Policy Optimization. We performed several iterations of this process. ChatGPT is fine-tuned from a model in the GPT-3.5 series, which finished training in early 2022. You can learn more about the 3.5 series here. ChatGPT and GPT-3.5 were trained on an Azure AI supercomputing infrastructure. Limitations ChatGPT and Einstein GPT Salesforce Einstein GPT signifies a significant advancement in AI technology, empowering businesses to deliver tailored customer experiences and streamline operations. With its integration into Salesforce CRM and other platforms, Einstein GPT offers unprecedented capabilities for personalized engagement and automated insights, ensuring organizations remain competitive in today’s dynamic market landscape. When OpenAI quietly launched ChatGPT in late November 2022, the San Francisco-based AI company didn’t anticipate the viral sensation it would become. Initially viewed as a “research preview,” it was meant to showcase a refined version of existing technology while gathering feedback from the public to address its flaws. However, the overwhelming success of ChatGPT caught OpenAI off guard, leading to a scramble to capitalize on its newfound popularity. ChatGPT, based on the GPT-3.5 language model, was fine-tuned to be more conversational and accessible, setting it apart from previous iterations. Its release marked a significant milestone, attracting millions of users eager to test its capabilities. OpenAI quickly realized the need to address potential misuse and improve the model’s safety features. Since its launch, ChatGPT has undergone several updates, including the implementation of adversarial training to prevent users from exploiting it (known as “jailbreaking”). This technique involves pitting multiple chatbots against each other to identify and neutralize malicious behavior. Additionally,

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Salesforce Lightning

Why Migrate From Salesforce Classic to Salesforce Lightning?

Why Switch from Salesforce Classic to Lightning? Salesforce is actively advancing the Lightning interface, and the reasons are compelling. The Lightning platform offers numerous advantages, including an improved user interface, quicker development times, and extensive customization options. With user-friendly features like drag-and-drop functionality, Lightning enhances the overall user experience (UX). Many companies are opting to migrate from Salesforce Classic to Salesforce Lightning to leverage these benefits and more. Salesforce Classic Salesforce Classic served as the primary interface until 2016, but today, it is considered outdated. Investing in Lightning Experience is driven by the desire to deliver a superior user experience, adopt features solving business challenges, enhance processes, and gain access to Lightning innovation and rapid app development technology. Given that Salesforce Lightning is faster, provides advanced customization features, and boasts easier navigation compared to Classic, transitioning to Lightning in 2023 can be a strategic decision for your business. Lightning also integrates Salesforce Einstein, offering reporting, analytics, and generative AI capabilities. Salesforce Lightning In contrast to Classic, the Lightning development platform enables non-technical users to effortlessly create customized apps without programming knowledge. Due to its sleek UI, faster performance, regular feature releases, and comprehensive usability, Salesforce Lightning has become the preferred CRM for businesses. Migration However, migrating from Salesforce Classic to Lightning, or any other CRM to Lightning, presents challenges, including high implementation time. Opting for a phased rollout is an effective approach to overcome these challenges. While challenges may arise, a strategic plan executed by experienced Salesforce Lightning Support can ensure a seamless and timely migration. If you’re ready to migrate to Salesforce Lightning, especially if your Salesforce is highly customized, it’s crucial to document all changes made in Classic and identify corresponding solutions in Lightning. If handling the complexities of Classic seems daunting, consider engaging a Salesforce Migration partner like Tectonic to conduct a full Salesforce audit before migrating to Salesforce Lightning, ensuring a smooth transition. Content updated December 2023. 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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Digital Transformation for Life Sciences

Digital Transformation for Life Sciences

In hindsight, one remarkable aspect of the COVID crisis was the speed with which vaccines passed through regulatory approval processes to address the pandemic emergency. Approvals that would typically take years were expedited to mere months, a pace not usually seen in the life sciences industry. It was an extraordinary situation, as Paul Shawah, Senior Vice President of Commercial Strategy at Veeva Systems, notes: “There were things that were unnaturally fast during COVID. There was a shifting of priorities, a shifting of focus. In some cases, you had the emergency approvals or the expedited approvals of the vaccines that you saw in the early days, so there was faster growth. Everything was kind of different in the COVID environment.” Today, the industry is not operating at that same rapid pace, but the impact of this acceleration remains significant: “What it did do is it challenged companies to think about why can’t we operate faster at a steady state? There was an old steady state, then there was COVID speed. The industry is trying to get to a new steady state. It won’t be as fast as during COVID because of unique circumstances, but expectations are now much higher. This drives a need to modernize systems, embrace the cloud, become more digital, and improve efficiency.” Companies like Veeva, alongside enterprise giants such as Salesforce, SAP, and Oracle, specialize in this market and play crucial roles in life sciences digitization. According to a McKinsey study, about 45% of tech spending in life sciences goes to three key technologies: applied Artificial Intelligence, industrialized Machine Learning, and Cloud Computing. Over 80% of the top 20 global pharma and medtech companies are operating in the cloud to some extent. However, a study by Accenture found that life sciences firms are among the lowest in achieving benefits from cloud investments, with only 43% satisfied with their results and less than a quarter confident that cloud migration initiatives will deliver the promised value within expected time frames. This presents both a challenge and an opportunity. Frank Defesche, SVP & GM of Life Sciences at Salesforce, sees it as the latter, stating: “The life sciences industry faces increased competition, evolving patient expectations, and ongoing pressure to bring devices and drugs to market faster. With rising drug costs, frustrated doctors, and varying regulatory scrutiny, life sciences organizations must find ways to do more with less.” The industry also contends with an unprecedented influx of data and disparate systems, making it difficult to move quickly. Addressing changes one by one is too slow and costly. Defesche believes that a systemic solution, fueled by connected data and Artificial Intelligence (AI), is key to overcoming these challenges. Paul Shawah of Veeva emphasizes the unique challenges of the life sciences sector: “Life sciences firms primarily do two things: discover and develop medicines, and commercialize them by educating doctors and getting the right drugs to patients. The drug development cycle includes clinical trials, managing everything related to drug safety, the manufacturing process, and ensuring quality. They also manage regulatory registrations. On the commercial side, it’s about reaching out to doctors and healthcare professionals.” Veeva’s Vault platform is designed for life sciences, with customers like Merck, Eli Lilly, and Boehringer Ingelheim. Shawah acknowledges it’s “still relatively early days” for cloud computing adoption but notes successes in areas like CRM, where Veeva achieved over 80% market share by standardizing processes and reducing technical debt. Other areas, like parts of the clinical trials process, remain largely untapped by cloud computing. Shawah sees opportunities to improve patient experiences and make the process more efficient. AI represents a significant area of opportunity. Shawah explains Veeva’s approach: “I’ll break AI into two categories: traditional AI, Machine Learning, and data science, which we’ve been doing for a long time, and generative AI, which is new. We’re focusing on finding use cases that create sustainable, repeatable value. We’re building capabilities into our Vault platform to support AI.” Joe Ferraro, VP of Product, Life Sciences at Salesforce, emphasizes AI’s critical role: “We are born out of the data and AI era, and we’re taking that philosophy into everything we do from a product standpoint. We aim to move from creating a system of record to a system of insight, using data and AI to transform how users interact with software.” Ferraro highlights the need for change: “Organizations told us, ‘Please don’t build the same thing we have now. We are mired in fragmented experiences. Our sales and marketing teams aren’t talking, and our medical and commercial teams don’t understand each other.’ Life Sciences Cloud aims to move the industry from these fragmented experiences to an end-to-end, AI-powered experience engine.” The COVID crisis highlighted the critical role of the life sciences industry. There’s a massive opportunity for digital transformation, whether through specialists like Veeva or enterprise players like Salesforce, Oracle, and SAP. Data must be the foundation of any solution, especially amidst the current AI hype cycle. Ensuring this data is well-managed is a crucial starting point for industry-wide change. 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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Order Management Enhancements Commerce Cloud

Order Management Enhancements Commerce Cloud

Salesforce Order Management Enhancements stands out for its scalability, catering to both small startups and large enterprises by offering customization to meet specific needs. Its adaptability facilitates seamless integration with other systems, presenting a comprehensive solution for e-commerce requirements. Explore the latest features in Salesforce Order Management and Lightning B2B Commerce, including process exception management, return merchandise authorizations, and various enhancements. Salesforce Order Management now provides tools to identify and address process exceptions during order processing interruptions. The addition of a new return order data model aids in managing return merchandise authorizations. Further updates include improved order summary flows, customization of payment methods, and the creation of order summaries with custom numbers and statuses. Enhancements to Lightning B2B Commerce introduce new components for deliveries and order summaries, improved searchability, an integration dashboard, and the Price Book Workspace. The integration dashboard consolidates management of integrations, providing a centralized overview. Order Management serves as the central hub for handling the entire order lifecycle, covering order capture, fulfillment, shipping, payment processing, and service. Customers can submit orders through any commerce channel, and merchants can efficiently manage fulfillment, shipping, invoicing, and service using integrated and customizable workflows. Salesforce Mobile App allows easy access to data on the go, although certain console features are not available. Order Management offers various resources, including preconfigured permission sets, Salesforce Payments integration for seamless payment processing, and extensive documentation for setup, administration, and extension. Salesforce Order Management utilizes Einstein Generative AI to enhance the overall experience, providing smarter service to customers. High-scale orders are supported on Hyperforce, offering increased capacity for order processing. For post-implementation monitoring and optimization, tracking key performance indicators (KPIs) such as order processing time, customer satisfaction, and inventory levels is crucial. Salesforce analytics aid in making data-driven improvements, and troubleshooting tools are available for resolving common issues like order discrepancies and payment failures. The Salesforce Order Management Implementation Guide outlines steps from initial setup and data migration to workflow customization, payment, and shipping integrations. Real-world case studies demonstrate successful implementations, showcasing the platform’s benefits, scalability, and advanced features. The retirement of Commerce Cloud Order Management is announced, with Salesforce Order Management positioned as the new product built within the Salesforce core platform. For further details or assistance, users are advised to contact their account manager or refer to Salesforce Order Management Help documentation. 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 SOQL Tools and AI

Salesforce SOQL Tools and AI

Salesforce Object Query Language (SOQL) is a robust instrument empowering users to retrieve data from Salesforce efficiently. With SOQL, you can interrogate any Salesforce object, spanning from custom objects to user permissions like profile and permission set perms. Salesforce SOQL Tools and AI. As a seasoned Salesforce Admin, crafting SOQL queries can often prove cumbersome. Not only must you master the syntax, but you must also ensure the queries are both effective and precise. Salesforce SOQL Tools and AI Fortunately, the advent of generative artificial intelligence (AI) tools offers a solution to this challenge. Generative AI tools, capable of producing text, code, and creative content, have emerged as invaluable aids in generating SOQL queries. Among these, Bard and ChatGPT have emerged as particularly helpful tools for crafting SOQL queries. In this discourse, I’ll illustrate how to leverage prompts to generate SOQL queries using these generative AI tools, providing query examples and resources to kickstart your journey with SOQL in your organization. Initiating SOQL Queries with Generative AI Tools To start, it’s essential to furnish the generative AI tool with pertinent information about the intended query. For instance, one might instruct the tool to generate a query retrieving all open opportunities. Subsequently, upon prompting: “Write SOQL that returns all open opportunities in Salesforce.” ChatGPT furnishes the following response: “SELECT Id, Name, StageName, CloseDate, Amount FROM Opportunity WHERE IsClosed = false” This query selects Opportunity records and retrieves their pertinent attributes, filtering the results to include only open opportunities based on the IsClosed field. Bard echoes a similar sentiment with its rendition of the query: “SELECT Id, Name, StageName, Amount, CloseDate FROM Opportunity WHERE IsClosed = false” However, the essence of prompt writing and critical thinking lies in refining the generated response. For instance, by slightly altering the prompt to include additional criteria: “Write SOQL that returns all open opportunities in Salesforce, including all standard fields and filtering results by StageName.” ChatGPT furnishes an adapted query: “SELECT Id, Name, AccountId, Amount, CloseDate, CreatedBy.Name, CreatedDate, LastModifiedBy.Name, LastModifiedDate, StageName FROM Opportunity WHERE StageName != ‘Closed Won’ AND StageName != ‘Closed Lost’” It’s worth noting that ChatGPT lacks insight into the specifics of your organization’s structure, necessitating occasional guidance to accommodate custom fields. However, through conversational cues, you can educate it accordingly: “My Salesforce org includes a custom field with the API name of NonProfit__c for Opportunity. It’s a boolean field. Please include it in all future SOQL queries on Opportunity.” To which ChatGPT responds: “Certainly! To include the custom field NonProfit__c in all future SOQL queries on Opportunity, you can modify the query as follows: SELECT Id, Name, AccountId, Amount, CloseDate, CreatedBy.Name, CreatedDate, LastModifiedBy.Name, LastModifiedDate, StageName, NonProfit__c FROM Opportunity WHERE StageName != ‘Closed Won’ AND StageName != ‘Closed Lost’” By incorporating NonProfit__c into the SELECT statement, the custom field is seamlessly integrated into the query results. Leveraging SOQL for User Permissions Reporting One particularly advantageous application of SOQL for Salesforce Admins is reporting on user permissions. By utilizing the SOQL Query tool in Code Builder or the Developer Console, admins can scrutinize permissions assigned to users via permission sets, profiles, objects, and fields. Here are a few illustrative examples of user permission SOQL queries, collaboratively devised with the assistance of ChatGPT: Check user permissions on an object: SELECT PermissionsRead, PermissionsCreate, PermissionsEdit, PermissionsDelete FROM ObjectPermissions WHERE ParentId IN (SELECT Id FROM PermissionSet WHERE PermissionSet.Name = ‘Your_Permission_Set_Name’) AND SObjectType = ‘Your_Object_Name’ AND PermissionsRead = true Check user permissions on a field: SELECT PermissionsRead, PermissionsEdit FROM FieldPermissions WHERE ParentId IN (SELECT Id FROM PermissionSet WHERE PermissionSet.Name = ‘Your_Permission_Set_Name’) AND SObjectType = ‘Your_Object_Name’ AND Field = ‘Your_Field_Name’ AND PermissionsRead = true Determine which permission sets grant Edit access for a specific field: SELECT ParentId, Parent.Name, Parent.Type, Field, PermissionsEdit, PermissionsRead, SobjectType FROM FieldPermissions WHERE Parent.IsOwnedByProfile = true AND Field = ‘ADM_Work__c.Subject__c’ AND PermissionsEdit = True Identify users assigned managed packages: SELECT Id, UserId, PackageLicense.NamespacePrefix FROM UserPackageLicense WHERE PackageLicense.NamespacePrefix = ‘YOUR_PREFIX_HERE’ Embark on Efficient SOQL Query Generation Today With generative AI tools, initiating sample SOQL queries becomes a n easier process, alleviating the need to grapple with syntax intricacies. For admins who occasionally require SOQL queries and find themselves toggling between documentation and references to commence, leveraging generative AI represents a compelling alternative. Here are some additional pointers for harnessing generative AI tools to craft SOQL queries effectively: Be precise: Furnish the tool with specific instructions to ensure accuracy and efficiency in query generation. Provide examples: Supplying the tool with query examples aids in generating more tailored queries. Test rigorously: Following query generation, ensure thorough testing to verify the returned results align with expectations. Ultimately, by harnessing the power of generative AI, admins can streamline the process of crafting SOQL queries, thereby enhancing productivity and efficiency in Salesforce data management endeavors. Data analysis serves as a cornerstone of business strategy, yet crafting custom SOQL queries to import specific Salesforce data can prove complex and time-consuming, particularly for those without coding expertise. When you add the necessity to amalgamate data from various systems, the process becomes even more cumbersome and inefficient. Coefficient Salesforce SOQL Tools and AI In this insight, we’ll demonstrate how Coefficient’s Formula Builder, powered by GPT, streamlines the creation of custom SOQL functions, and how Coefficient facilitates direct data imports from Salesforce within Google Sheets, all seamlessly integrated into your workflow without ever leaving your spreadsheet. To get started, launch the Coefficient add-on directly within your Google Sheets. If you haven’t already installed Coefficient, simply navigate to the Google Workspace Marketplace to acquire it. Here’s how to install Coefficient: Now that you have Coefficient installed, you can effortlessly import your live Salesforce data. In the Coefficient sidebar within Google Sheets, follow these steps: To do this, follow these steps: The Formula Builder will promptly generate a custom SOQL query based on your specifications. Simply copy this query, and you’re ready to go. With Coefficient, data analysis becomes more efficient and accessible, empowering users of all skill levels to harness the power of Salesforce data seamlessly within Google

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Salesforce Sales Cloud

Salesforce Sales Cloud Explained

Salesforce Sales Cloud is Salesforce’s premier product, originating with the company’s birth in 1999, and currently commands the largest market share among all available Customer Relationship Management (CRM) solutions. With a core mission to expedite the sales cycle, Sales Cloud furnishes companies with an array of tools for efficient management of leads, opportunities, businesses, and individual contacts. While it predominantly caters to Business-to-Business (B2B) enterprises, Sales Cloud encompasses features like quoting, product management, and forecasting tailored to meet the needs of sales managers. In addition to its foundational features, Sales Cloud offers a suite of add-on products that further enhance its capabilities. These include Sales Cloud Einstein, Inbox, Salesforce Maps, Lightning Dialer, Lightning Scheduler, Salesforce Engage, Einstein Sales Analytics, and Revenue Analytics. These supplementary products provide advanced functionalities and analytics, elevating the overall sales experience for businesses utilizing Sales Cloud. What does Salesforce do? It helps teams work better together. Your business may use a single Customer 360 app, or a combination of many. By improving team communications, automating repetitive tasks, and surfacing more insights with the help of AI, our customers drive greater business success. Connect the dots between marketing and sales. Bring all your customer data together in one place to inform campaign strategy, audiences, and content. Use generative AI to create personalized messages and send them to prospects right where they are most likely to engage with them. When customers click on your ad or website, an automated message is sent to sales, notifying the team of a new lead. Tectonic is please to announce our Sales Cloud Implementation Solutions. 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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