Einstein GPT Archives - gettectonic.com - Page 2
Salesforce Sales Cloud
07Jun

Salesforce Sales Cloud GPT

What is Salesforce Sales Cloud GPT? Salesforce’s Einstein GPT is a robust AI tool that seamlessly integrates both public and private AI models with CRM data. This unique synergy allows users to articulate natural-language queries directly within the Salesforce CRM environment, resulting in continuously adapted AI-generated content tailored to evolving customer information and requirements. Salesforce Sales Cloud GPT The suite encompasses a suite of powerful Artificial Intelligence (AI) products, including the Einstein service, the workplace-messaging app Slack, and the data analysis software Tableau. Notably, it unveils a compelling array of natural language tools slated for release in 2023, such as Sales GPT for personalized emails, Service GPT for service messages and chatbots, and Marketing GPT for refined audience targeting. Furthermore, the AI Cloud is meticulously crafted to host extensive language models from various providers such as AWS, Anthropic, and Cohere. Salesforce’s commitment to AI startups is further underscored by a substantial $500 million injection into its venture capital fund. Impact on Sales Cloud with AI and EinsteinGPT: Sales Cloud undergoes a transformative impact through AI, notably EinsteinGPT. Anchored in principles of Trust, Security, and Privacy, Salesforce introduces the Einstein Trust Layer within its AI Cloud offering to assuage privacy concerns. This layer ensures adaptability and transparency while upholding stringent standards for data privacy, security, and compliance. EinsteinGPT for Sales Cloud emerges as a game-changing innovation, serving as a personalized assistant within Salesforce CRM to streamline sales processes. Leveraging Generative AI, it transcends mere data analysis by generating novel content, ideas, and approaches. Key features encompass Einstein GPT, Einstein Conversation Insights, and Einstein Relationship Insights. Industries Experience Tangible Impact: Salesforce’s substantial investments in AI are reshaping the landscape of sales and customer engagement. As EinsteinGPT becomes an integral part of the platform, the anticipation of new and innovative use cases signals a significant leap forward in AI accessibility. 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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June 7, 2023in Salesforce Einstein, Salesforce Financial Services Solutions, Salesforce Manufacturing Automotive Energy, Salesforce Public Sector Solutions, Salesforce Sales Cloud
Tableau Pulse and Tableau GPT
04Jun

Announcing Tableau Pulse and Tableau GPT

It’s fair to say that many are familiar with ChatGPT, the groundbreaking Large Language Model from OpenAI that has transformed how we work and interact with AI. At TC 2023, Tableau announced a new tool called Tableau GPT. But what exactly is Tableau GPT, and how does it fit into Tableau’s suite of products? Announcing Tableau Pulse and Tableau GPT. Tableau GPT Tableau GPT is an assistant leveraging the advanced capabilities of generative AI to simplify and democratize data analysis. Built from Einstein GPT, a Salesforce product developed in collaboration with OpenAI, Tableau GPT integrates generative AI into Tableau’s user experience. This integration aims to help users work smarter, learn faster, and communicate more effectively. During the Devs on Stage segment of the keynote at TC, Matthew Miller, Senior Director of Product Management, showcased Tableau GPT’s ability to generate calculations. For example, with a prompt like “Extract email addresses from JSON,” Tableau GPT quickly produces a calculation that users can copy into the calculation window. Tableau Pulse Tableau GPT also powers a new tool called Tableau Pulse, designed to generate powerful insights swiftly. Tableau Pulse provides “data digests” on a personalized metrics homepage, offering a curated, ‘newsfeed’-like experience of key KPIs. As users interact with Pulse, it learns to deliver more personalized results based on their interests. For example, Tableau Pulse highlights metrics that require attention, derived from recent data trends identified by Tableau GPT. The tool provides the latest metric values, visual trends, and AI-generated insights for user-selected KPIs. Tableau Pulse also enables users to ask questions about their data in natural language. For instance, when asked, “What is driving change in Appliance Sales?” Tableau Pulse responded with a brief answer and visualization. Further inquiries, such as “What else should I know about air fryers?” revealed that the “inventory fill rate” for air fryers is forecasted to fall below a set threshold, providing actionable insights that users can share across their organization. Future Impact and Availability Tableau GPT and Pulse promise to revolutionize interactions with Tableau products, enabling quicker visualization creation and making data accessible to non-technical users. Salesforce announced that Tableau Pulse and Tableau GPT would enter pilot testing later this year. When they do, we’ll be ready to share new insights. Follow us on LinkedIn to stay updated on all the latest developments and features in Tableau! Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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June 4, 2023in Generative AI
Slack and AI
01Jun

Just When You Thought We Were GPT’d Out, Here Comes Slack and Generative AI

Since its public introduction in 2014, Slack has transformed from its original concept, a searchable log of all conversation and knowledge, into a comprehensive productivity platform that has reshaped how work and co-working is conducted. Get ready! Here comes Slack and Generative AI! In a recent release, Salesforce Slack unveiled a next-generation platform. A platform designed to facilitate seamless automation and integration for users of all technical levels, regardless of coding proficiency. This platform simplifies the utilization of data within Slack, offering enhanced automation and intelligence, allowing for the creation of no-code workflows, custom integrations, and the incorporation of generative AI. Steve Wood, Slack’s SVP of Product and Platform, highlights the significance of placing automation and generative AI tools directly into users’ hands as a pivotal step in Slack’s journey to redefine not only how people work but also how machines and humans interact in the future. Wood delves into the unique features of the new Slack platform, emphasizing its modular architecture grounded in building blocks like functions, triggers, and workflows. These components are remixable, reusable, and seamlessly integrate with the data flow within Slack. The platform enables developers to create tailored solutions, such as integrating with Salesforce, fostering more efficient collaboration, and automating workflows across various business functions. The introduction of generative AI, like Slack GPT, further enhances the platform’s capabilities.  Slack GPT can use Einstein GPT to gain actionable data from Salesforce Customer 360 and Data Cloud.  Wood underscores the potential of this combination to revolutionize work interactions by simplifying automation into reusable building blocks, accessible to both humans and machines. He emphasizes the transformative power of pairing data with AI and automation, anticipating a significant shift in how technology is leveraged in the workplace. Slack and GPT Wood also explains the recent Slack GPT news, detailing its native integration into the Slack user experience. Slack GPT brings generative AI directly into the platform, allowing users to summarize conversations, catch up on missed messages, and edit content effortlessly. The integration of Einstein GPT into Slack expands the conversational interface to Customer 360, providing real-time customer insights directly in Slack. This can be used to automatically generate case summaries based on data from Service Cloud AND Slack. As AI evolves over time, Wood shares his excitement about observing how people utilize Slack GPT in real-world scenarios. The focus remains on empowering platform users through native generative AI and leveraging data and behaviors to enhance the product continuously. Historical Content Wood emphasizes the historical context stored within Slack, highlighting the collective past as a valuable resource for future decision-making. Integrating AI technologies into this rich dataset within Slack presents a substantial opportunity for improving workflows and tools. Regarding the integration of Slack with Salesforce Customer 360, Wood stresses the importance of having relevant information easily accessible in one place. Slack serves as the hub where work occurs, and by incorporating generative AI, the platform aims to enhance transparency, alignment, and effectiveness in decision-making. Drawing in and analyzing the data from Slack as well as the other Salesforce platforms provides vital customer information. In reflection on the rapid adoption of this technology, Wood acknowledges the unique challenges presented by the unknown behavior of generative AI. Stability, accuracy, and safety are top concerns, with ethical and responsible development practices crucial for building trust. The future, as Wood sees it, hinges on maintaining a commitment to ethical development, ensuring customers feel confident in trusting the transformative capabilities of generative AI in the workplace and the Slack platform. 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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June 1, 2023in Salesforce Data Cloud, Salesforce Hospitality Travel and Transportation, Salesforce Manufacturing Automotive Energy, Salesforce Slack
Salesforce Flow
05May

Einstein GPT Integration with Flow and Data Cloud Now Available

Salesforce has recently unveiled exciting new capabilities for Flow, Einstein GPT Integration with Flow and Data Cloud. Introducing Einstein GPT and Data Cloud features to its growing family of automation tools. This development empowers everyday administrators, eliminating the need for extensive engineering teams to harness large datasets for automation purposes. The groundbreaking aspect lies in the ability to achieve this in real-time, using a user-friendly interface without the need for coding. Introduction to Einstein GPT: Einstein GPT builds upon ChatGPT technology, combining public and private AI models with CRM data within Salesforce. This allows users to pose natural-language prompts directly within Salesforce CRM, receiving AI-generated content that adapts continuously to changing customer information and needs. The learning capability of Einstein GPT ensures ongoing improvement based on user input, aligning with best practices. Einstein GPT for Flow: When integrated with Salesforce Flow, Einstein GPT enables users to create and modify automations through a conversational interface, simplifying the flow creation process significantly. This fusion lowers barriers for non-technical users, enhancing the overall experience with Flow Builder and ensuring adherence to best practices. Key benefits of Einstein GPT for Flow include: Pricing details for Einstein GPT products are pending confirmation, and Salesforce will soon announce pilot program dates to broaden accessibility. Data Cloud for Flow: Introduced at Dreamforce 2022, Salesforce Data Cloud, formerly Genie, facilitates highly personalized customer experiences in real-time. Serving as a command center for customer data, Data Cloud integrates real-time data streams with Salesforce data, powering Flow with actionable insights. By combining Data Cloud with Flow, users can automate complex workflows and trigger actions based on real-time changes without the need for extensive IT involvement. This approach streamlines the process of designing, building, and testing custom integrations, reducing the burden on IT teams. Key advantages of Data Cloud for Flow include: These announcements bring forth transformative capabilities, making data utilization more accessible and streamlining the automation process within Salesforce. The combination of Einstein GPT and Data Cloud for Flow opens up possibilities for creating personalized and interconnected customer experiences across different sectors. 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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May 5, 2023in Salesforce Data Cloud, Salesforce Einstein
Sales Cloud Einstein
17Apr

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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April 17, 2023in Artificial Intelligence, Data, Einstein Insights, Generative AI, Salesforce, Salesforce Einstein
AI Drives Insights
07Apr

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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April 7, 2023in Generative AI, Mulesoft, Salesforce
Einstein GPT and AI-Powered CRM
06Apr

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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April 6, 2023in Generative AI, Salesforce Einstein
data cloud and marketing cloud personalization
30Mar

Data Cloud and Marketing Cloud Personalization

Choosing the correct Customer Data Platform (CDP) for your organization is crucial for adapting to challenges and capitalizing on opportunities in the evolving marketing technology landscape. While AI, behavioral patterns, and infrastructure play pivotal roles in this decision-making process, it’s essential to understand the landscape. However, the same factors, including AI, behavioral habits, and infrastructure, can influence this decision. Data Cloud and Marketing Cloud Personalization together capture and utilize customer data. Selecting the right tools makes it easier to know and cater to your prospects and customers. Without them, you are firing into the darkness. You must understand the necessary infrastructure for a marketing technology team to meet challenges and leverage new opportunities. It integrates four essential AdTech (Advertising Technology) principles applicable to MarTech in the evolving landscape. The external market poses challenges, notably the discontinuation of third-party cookies by major browsers like Google. This shift impacts prospecting and underscores the significance of first-party data. The rise of AI, exemplified by technologies like ChatGPT and integrated into platforms like Salesforce’s Einstein, further complicates the landscape. The AI era raises concerns about data usage and collection, employment risks, and the ethical consideratins. Organizations rush to incorporate AI, with Salesforce introducing Einstein GPT shortly after the emergence of ChatGPT. In this dynamic environment, organizations grapple with managing diverse data sources, implementing AI/ML, and ensuring privacy. AdTech principles become imperative in MarTech for effective targeting, personalization, and measurement. The focus shifts to the role of a Customer Data Platform (CDP) within the MarTech stack. Distinguishing between Data Management Platforms (DMPs), CDPs, Data Warehouses, and Data Lakes sets the stage. The article explores three CDP types: Enterprise, Event-Based, and Real-Time Personalization. The significance of a Customer Data Platform (CDP) like Salesforce’s Data Cloud cannot be stressed enough. Bear in mind there are differences between DMPs, CDPs, Data Warehouses, and Data Lakes, each with their own use cases. And for your situation a DMP, Data Warehouse, or Data Lake might be required. Salesforce’s CDP platform undergoes scrutiny, aligning its features with AdTech principles. Read more about Tectonic’s thoughts on Data Cloud here. The CDP’s contribution to targeting, personalization, and both deterministic and probabilistic measurement is detailed. Salesforce’s Data Cloud and Marketing Cloud Personalization (Interaction Studio) emerge as solutions catering to distinct needs. In conclusion we must underscore the criticality of choosing the right CDP for organizational resilience, superior customer experiences, and addressing privacy concerns. A robust infrastructure facilitates efficient data management, collaboration, and scalability, empowering organizations to make informed decisions with AI/ML and business intelligence. #data-cloud-and-marketing-cloud-personalization 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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March 30, 2023in Data, Enterprise, Google, Salesforce, Salesforce Data Cloud, Salesforce Marketing Cloud, Technology
Salesforce Service Cloud Einstein
09Mar

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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March 9, 2023in Artificial Intelligence, Data, Generative AI, Marketing Automation, Salesforce, Salesforce Einstein, Salesforce Sales Cloud, Salesforce Service Cloud, Technology
Sales Cloud Einstein
15Feb

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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February 15, 2023in Artificial Intelligence, Data, Enterprise, Generative AI, Salesforce, Salesforce Data Cloud, Technology
ChatGPT and Einstein GPT
08Nov

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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November 8, 2022in Generative AI, Mulesoft, Salesforce, Salesforce Data Cloud, Salesforce Einstein
Salesforce CRM for AI driven transformation
22Mar

Salesforce Artificial Intelligence

Is artificial intelligence integrated into Salesforce? Salesforce Einstein stands as an intelligent layer embedded within the Lightning Platform, bringing robust AI technologies directly into users’ workspaces. The Einstein Platform offers administrators and developers a comprehensive suite of platform services, empowering them to create smarter applications and tailor AI solutions for their enterprises. What is the designated name for Salesforce’s AI? Salesforce Einstein represents an integrated array of CRM AI technologies designed to facilitate personalized and predictive experiences, enhancing the professionalism and attractiveness of businesses. Since its introduction in 2016, it has consistently been a leading force in AI technology within the CRM realm. Is Salesforce Einstein a current feature? “Einstein is now every customer’s data scientist, simplifying the utilization of best-in-class AI capabilities within the context of their business.” Is Salesforce Einstein genuinely AI? Salesforce Einstein for Service functions as a generative AI tool, contributing to the enhancement of customer service and field service operations. Its capabilities extend to improving customer satisfaction, cost reduction, increased productivity, and informed decision-making. Salesforce Artificial Intelligence AI is just the starting point; real-time access to customer data, robust analytics, and business-wide automation are essential for AI effectiveness. Einstein serves as a comprehensive solution for businesses to initiate AI implementation with a trusted architecture that prioritizes data security. Einstein is constructed on an open platform, allowing the safe utilization of any large language model (LLM), whether developed by Salesforce Research or external sources. It offers flexibility in working with various models within a leading ecosystem of LLM platforms. Salesforce’s commitment to AI is evident through substantial investments in researching diverse AI areas, including Conversational AI, Natural Language Processing (NLP), Multimodal Data Intelligence and Generation, Time Series Intelligence, Software Intelligence, Fundamentals of Machine Learning, Science, Economics, and Environment. These endeavors aim to advance technology, improve productivity, and contribute to fields such as science, economics, and environmental sustainability. Content updated April 2023. 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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March 22, 2017in Artificial Intelligence, Data, Enterprise, Generative AI, Salesforce, Salesforce Einstein, Technology
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