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Rise of AI Agents

Rise of AI Agents

The Rise of AI Agents in Enterprise Automation Rise of AI Agents… It sound a bit like a B grade satire movie. But its not satire or scary. AI Agents, powered by large language models (LLMs), represent a groundbreaking paradigm shift in software. Unlike previous automation technologies, AI agents can reason, collaborate, and act in ways similar to human behavior. This new era of Enterprise AI Agents marks a significant evolution from traditional Robotic Process Automation (RPA), expanding the scope from simple task-level automation to enhancing complex knowledge work. RPA stands for Robotic Process Automation, which uses software bots to automate digital tasks and streamline processes. RPA can help reduce costs and improve efficiency. There are three main types of RPA: attended, unattended, and hybrid From RPA to AI Agents: A Strategic Shift A decade after the emergence of RPA, the enterprise landscape is poised for another transformation with intelligent AI agents. These agents are not merely incremental improvements but a revolutionary technology requiring new skills and tools. They transcend the limitations of RPA, moving beyond rule-based automation to dynamic, context-aware operations. Transitioning from RPA to AI agents is a strategic initiative necessitating executive sponsorship. This shift also offers automation leaders and Centers of Excellence (CoEs) the chance to reimagine their roles as strategic enablers within the enterprise. The Evolution of Enterprise Automation Automating Tasks: RPA RPA gained popularity in the mid-2010s through companies like UiPath, leveraging record-and-playback style UI automation. Despite early skepticism about its fragility, RPA established itself as a cornerstone of low-code business applications. Automating Processes: Intelligent Automation (IA) IA extends beyond RPA by incorporating techniques like API automation and OCR. It signals a shift from point-and-click automation to process automation, often blending coding with low-code tools. However, IA remains rule-based, suitable for structured processes. Automating Work: Intelligent AI Agents AI agents introduce a new agentic planning and execution workflow. They natively understand unstructured data and processes, making them ideal for tasks described in natural language rather than rigid rules. AI agents can self-correct and seek human feedback, enhancing resilience compared to pre-programmed bots. Strategic Applications of AI Agents AI agents expand the possibilities of enterprise automation. While RPA remains effective for repetitive, structured tasks, AI agents bring new capabilities to areas requiring flexible reasoning and decision-making. Tactical Automation AI agents can augment existing RPA workflows, addressing tasks that precede or follow RPA routines. This initial integration helps expand automation’s reach within the enterprise. Standard Decisions in Standard Contexts For work involving standard decisions within platforms like ServiceNow or Salesforce, AI and automation solutions from these vendors are beneficial. These platforms continue to innovate, enhancing their data and process capabilities. Strategic Core Business Workflows The most significant impact of AI agents lies in complex, custom-context tasks central to the enterprise’s operations. Here, built-for-purpose enterprise AI agents can drive substantial value, allowing human workers to focus on more strategic activities. Implementing AI Agents: Steps to Get Started The Urgency of Adopting AI Agents The rapid pace of AI advancements necessitates immediate action. Traditional strategies that plan for future technology must pivot to embrace AI today. Forward-looking companies are already reaping significant benefits from AI, and delaying adaptation risks losing competitive advantage. AI agents are not just the next step in automation; they are a transformative technology redefining enterprise workflows. By acting now, businesses can harness AI agents’ full potential, driving innovation and maintaining relevance in an ever-evolving market. 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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Generative AI Self-Service and Unified Knowledge

Generative AI Self-Service and Unified Knowledge

Salesforce Announces Unified Knowledge to Boost Service Efficiency and Customer Experience Salesforce has introduced Unified Knowledge, a groundbreaking solution designed to integrate organizational knowledge from various third-party systems into Salesforce. This integration aims to enhance service agents’ efficiency and expedite customer case resolutions. By leveraging customer data in Salesforce Data Cloud, Unified Knowledge helps generate accurate and relevant AI-driven content, enabling faster and more personalized customer experiences. Generative AI Self-Service and Unified Knowledge. Key Importance Detailed Insights Built on the Einstein Trust Layer, Einstein for Service uses AI to boost service team productivity and customer experience. Traditionally, these AI capabilities have relied on unstructured and structured customer data within Data Cloud. Unified Knowledge enhances these AI models by incorporating Salesforce knowledge articles and resources from third-party platforms such as SharePoint, Confluence, Google Drive, and company websites. This robust data foundation empowers Einstein for Service and its generative AI capabilities to deliver precise answers to agents and AI assistants in real time. Generative AI Self-Service and Unified Knowledge Unified Knowledge, developed through a strategic partnership with Zoomin, offers several key capabilities: In addition to Service Cloud, Unified Knowledge integrates information into Salesforce Field Service, Sales Cloud, Health Cloud, and Financial Services Cloud. Salesforce’s Perspective Kishan Chetan, EVP and GM of Service Cloud, stated, “In service, more knowledge and more context translates to better answers for agents and customers. Agents and self-serve customers already benefit from a complete customer profile with information in Data Cloud. Now, with Unified Knowledge, they also have access to all external organizational data, creating a truly comprehensive foundation to fuel both the successful adoption of generative AI and the delivery of faster, more meaningful customer experiences.” Customer Reaction Dharam Rai, VP of Global Customer Success & Experience at Sonos, commented, “Unified Knowledge is helping us deliver proactive, predictive, and preventative service to our customers. We have over 500 agents educating our customers on different aspects of our products. Now, all our resources and data points can be unified through the same system quickly, enabling our agents to provide solutions faster. Every agent can deliver consistent and repeatable service to improve customer engagement and increase organizational productivity.” Availability Unified Knowledge is available today in open beta for Salesforce customers with Service Cloud Unlimited Edition, Einstein 1 Service Edition, or the Knowledge Add-On. Knowledge Answers in Bots will be generally available in June 2024, while Einstein Copilot for Mobile Workers and Search Answers are available now. 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 to Power Loyalty and Personalization for IHG

Salesforce to Power Loyalty and Personalization for IHG

IHG Hotels & Resorts has teamed up with Salesforce to elevate guest loyalty and meet the evolving expectations of customers. Through its One Rewards program, IHG aims to foster guest loyalty by enhancing efficiency and delivering personalized experiences across its expansive network of over 6,000 hotels spanning 19 IHG brands. Salesforce to Power Loyalty and Personalization for IHG Research indicates that 65% of consumers express a preference for brands that prioritize personalized experiences. In response to these consumer preferences, IHG is embarking on a journey to standardize its CRM infrastructure using the Einstein 1 Platform. This platform seamlessly integrates CRM and data to create comprehensive customer profiles and tailor guest experiences, thereby driving loyalty. Leveraging generative AI, Salesforce and its technology partners are also assisting IHG in guest management endeavors. Heather Balsley, Global Chief Commercial & Marketing Officer at IHG Hotels & Resorts, emphasized, “As we strive to enhance the IHG One Rewards loyalty program, our foremost goal is to provide guests with booking and stay experiences that are customized to their unique travel requirements. Our partnership with Salesforce will empower us to further refine the technology, tools, teams, and solutions underpinning our loyalty program, enabling us to offer personalized content and services that forge deeper connections with our most valued guests.” Salesforce to Power Loyalty and Personalization for IHG By harnessing the capabilities of Service Cloud, IHG gains a comprehensive 360-degree view of guests, enabling prompt and accurate resolution of guest inquiries and thereby elevating overall guest satisfaction. Additionally, IHG’s adoption of Marketing Cloud facilitates targeted customer engagement through preferred communication channels, including email, SMS, and push notifications. IHG One Rewards members exhibit a strong inclination to book directly through IHG websites and its One Rewards mobile app, demonstrating a significant increase in spending compared to non-members. Through the predictive AI technology offered by the Einstein 1 Platform, IHG aims to expand its loyalty membership base and further enhance guest engagement. For more information about the Einstein 1 Platform, visit: Salesforce – Einstein 1 Platform 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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Unified Knowledge for Service Agents

Unified Knowledge for Service Agents

Salesforce has introduced a new intelligence source for service agents called Unified Knowledge. This solution aggregates information from third-party sources and integrates it into Salesforce, enhancing the customer data available in Data Cloud. Unified Knowledge Overview Enhanced Service with Unified Knowledge Unified Knowledge aggregates data from sources like SharePoint, Confluence, Google Drive, and brand websites, making it accessible within Salesforce Service Cloud. While Service Cloud has primarily utilized data from Data Cloud via Einstein for Service to assist service agents, Unified Knowledge expands this by including additional third-party information. Broader Integration Across Salesforce Although Service Cloud is a primary focus, Unified Knowledge will also integrate with Salesforce Field Service, Sales Cloud, Health Cloud, and Financial Services Cloud. This solution was developed in partnership with Zoomin Software. Technical Approach and Future Plans The initial version of Unified Knowledge does not utilize Data Cloud. Instead, it stores third-party knowledge in the KnowledgeArticle object on Core and uses Zoomin for integration. Salesforce plans to eventually transition this solution to Data Cloud for both storage and integration. This transition involves multiple dependencies and significant refactoring of the Knowledge product. For now, the current approach allows for quicker market entry. Once moved to Data Cloud, customers will need Data Cloud credits to use Unified Knowledge. Response by email from Salesforce: “The beta version of Unified Knowledge does not leverage Data Cloud. The third-party Knowledge is stored on Core in the KnowledgeArticle object, and Salesforce uses ZoomIn to integrate with third-party systems. Salesforce’s long-term vision is to move to Data Cloud — initially for the storage of third-party knowledge, and eventually for the connector/integration piece as well. This involves multiple dependencies on Data Cloud however and significant refactoring of the Knowledge product, so in order to get this solution to market more quickly, this initial version is built on Core. Once we move Unified Knowledge to Data Cloud, customers will have to purchase Data Cloud credits to use the product.” Benefits and Features of Unified Knowledge Unified Knowledge enhances the information available to service agents, potentially leading to better service experiences. Its generative AI capabilities include: By expanding the data available to service agents, Unified Knowledge aims to improve service quality and efficiency. 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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Blockers to IT Success and Salesforce Implementation Solutions

Blockers to IT Success and Salesforce Implementation Solutions

The CIO’s website recently delved into the primary obstacles to achieving success in IT. Tectonic echoes these concerns and offers insights and remedies based on our Salesforce Implementation Solutions. Issues such as data challenges, technical debt, and talent shortages can significantly hinder the progress of IT organizations and departments in executing high-value projects. Several CIOs have shared their approaches to tackling these challenges. Tectonic poses solutions based upon the Salesforce ecosystem. Carm Taglienti, Chief Data Officer and Distinguished Engineer at Insight, reflects on the dual nature of the recent surge in artificial intelligence (AI). While AI advancements have undoubtedly enhanced efficiency and productivity across technology departments, lines of business, and business units, the rapid proliferation of AI technologies, particularly generative AI, has disrupted numerous IT plans. Taglienti emphasizes the need for organizations to adapt swiftly to these technological shifts to avoid derailing critical projects. Tectonic recently looked at challenges the public sector face in regards to AI. Read more here. The rapid evolution of technology poses a continuous challenge for IT leaders. The relentless pace of technological advancements, exemplified by the rise of AI, demands proactive resource allocation to stay competitive. Ryan Downing, CIO of Principal Financial Group, underscores the necessity of adopting a strategic approach to navigate the complexities of multicloud environments effectively. Tectonic echoes the multicloud challenge. We address this for our clients with Salesforce implementation, optimization, consulting, and ongoing managed services. Salesforce remains the world’s number one CRM solution for a reason. Cloud solutions for marketing, personalization, patient data privacy, manufacturing, feedback management, and more are just a small sampling of the IT solutions Salesforce and Tectonic present. Unaddressed data issues pose a significant impediment to realizing the full potential of analytics, automation, and AI. Many organizations are grappling with legacy systems and inadequate data management practices, hindering their progress in succesfully deploying advanced technologies. Working with a Salesforce partner can address this challenge. The scarcity of skilled talent remains a pressing concern for CIOs, as highlighted in the State of the CIO Study by Foundry. Despite efforts to train internal staff and leverage contractors, filling critical tech positions remains challenging, impeding transformation initiatives. Managed services providers help address this skill gap. Technical debt and legacy systems present additional hurdles for IT departments. The maintenance of outdated infrastructure drains resources and limits innovation, forcing CIOs to strike a delicate balance between modernization efforts and operational demands. Addressing cybersecurity threats and compliance with evolving regulations further strains IT resources, necessitating proactive measures to safeguard organizational assets and maintain regulatory compliance. Striking the right balance between sustaining existing operations, fostering growth, and driving transformative initiatives is another challenge facing CIOs. Scott Saccal of Cambrex emphasizes the importance of aligning resource allocation with strategic objectives to avoid market displacement. The allure of new technologies, coupled with executive pressure to explore shiny objects, can divert focus from core priorities, hampering strategic execution. Shadow IT and the lack of organizational agility pose additional barriers to IT success, highlighting the need for CIOs to foster collaboration, align IT initiatives with business goals, and cultivate a culture of adaptability within their departments. ‘Shadow IT’ refers to the unsanctioned use of software, hardware, or other systems and services within an organization, often without the knowledge of that organization’s information technology (IT) department. CIOs must navigate a myriad of challenges, from technological disruptions to talent shortages, while maintaining a laser focus on strategic objectives to drive organizational success in an ever-evolving digital landscape. Tectonic is here to consult and achieve your IT challenges. Contact us today. 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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Why Use Marketing Cloud Mobile Connect

Mobile Marketing Strategy

In today’s multitasking digital landscape, customers are constantly engaged in various activities like texting, searching with Google, browsing social media, and ordering lunch, all on the same screen. Their usage requires you to develop a Mobile Marketing Strategy. To effectively reach these customers, mobile marketing must seamlessly integrate into their current mobile experience. This requires a unified platform that aligns with their digital habits. According to the Insider Intelligence 2023 Research, email remains the most preferred communication method among customers, with a whopping 93% preference rate. However, customer preferences vary significantly across different channels, presenting a challenge for marketers who need to choose the right channels for each context. To deliver the best customer experience, marketers need to bring together multiple channels by adhering to changing data sources and evolving customer expectations. As data sources for targeting shift towards digital identities and declared preferences, marketers must adapt their strategies accordingly. Here are guiding principles for an effective mobile marketing strategy: Understanding Mobile Channels: Push Notifications: SMS Messaging: Chat Apps: Key Takeaways: 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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Generative AI Regulations

Lobbying for AI Rules on Environemental Impact

Computing currently accounts for up to 3 percent of global power consumption, and Salesforce believes that AI could triple this figure. Lobbying for AI Rules on Environemental Impact. To address these concerns, Salesforce is initiating lobbying efforts to establish new regulations mandating emissions disclosure and efficiency standards for artificial intelligence. This announcement was made on Monday as part of Salesforce’s new “Sustainable AI Policy Priorities.” The company has previously taken stances on AI ethics and equity, a trend also seen among other major tech firms like Amazon, Google, and Microsoft. The move comes amidst rising apprehension about the energy-intensive nature of training and operating AI algorithms. Data centers already consume 2-3 percent of annual global power, a figure projected to triple by 2030 due to AI’s accelerating demand, according to Boston Consulting Group. This prospect has motivated tech giants like Amazon, Google, and Microsoft to explore alternative, non-fossil fuel energy sources such as nuclear and geothermal. Lobbying for AI Rules on Environemental Impact Salesforce has outlined six policy priorities aimed at supporting “sustainable AI” through regulations and incentives, categorized into two areas: Salesforce has already begun disclosing energy and environmental metrics related to its AI development activities. The company prioritizes the use of energy-efficient hardware and operates in data centers powered by lower-carbon sources, in collaboration with Google’s cloud services. Moreover, Salesforce, like other tech giants, supports organizations and startups developing AI applications with climate benefits. It recently announced support for five new nonprofits focused on climate initiatives: Climate Collective Foundation, Good360, Groundswell, Ocean Risk and Resilience Action Alliance, and WattTime. 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 Service Summer 24 Release Notes

Salesforce Service Summer 24 Release Notes

Check out new features that enable customer service agents to work faster and more productively across customer service channels. Salesforce Service Summer 24 Release Notes. 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 Einstein Summer 24 Release Notes

Salesforce Einstein Summer 24 Release Notes

Supercharge your workforce efficiency with predictive and generative AI. Salesforce Einstein Summer 24 Release Notes. Rights of ALBERT EINSTEIN are used with permission of The Hebrew University of Jerusalem. Represented exclusively by Greenlight. CLOUD FEATURES RELEASE NOTE June ’24 Analytics Report Formula Generation Add Calculated Fields to Your Data Cloud Reports with Einstein Generative AI Field Service Pre-Work Brief Customize the Pre-Work Brief with Prompt Builder Flow Builder Einstein for Flow Let Einstein Build a Draft Flow for You Industries: Contracts Contracts AI Tailor Your Default and New Field Prompts for Effective Data Extraction Industries: Health Cloud Assessment Generation Automate Assessment Generation With Einstein Generative AI Industries: Net Zero Cloud ESG Reports Einstein for Net Zero Cloud Overall Salesforce Scheduler Generate Personalized Appointment Invitation Emails with Prompt Builder Sales Enablement, Relationship Selling, Sales Emails Einstein for Sales Sales Einstein Conversation Insights Einstein Conversation Insights Service Article Recommendations, Feedback Management, Work Summaries Einstein for Service Service Service Catalog Einstein for Service Catalog Einstein Features Salesforce Einstein Summer 24 Release Notes 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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Einstein Prediction Builder

Einstein Prediction Builder

Einstein Prediction Builder, a sophisticated yet user-friendly tool from Salesforce Einstein, empowers users to generate predictions effortlessly, without requiring machine learning expertise or coding skills. This capability enables businesses to augment their operations with foresight-driven insights. As of the Spring ’20 release, all Enterprise Edition and above orgs can build one free prediction with Einstein Prediction Builder. Consider the potential business outcomes unlocked by leveraging Einstein Prediction Builder. Let’s delve into a hypothetical scenario: Meet Mr. Claus, the owner of ‘North Claus,’ a business that began as a modest family venture but gradually expanded its footprint. As ‘North Claus’ burgeoned across 10 countries, Mr. Claus recognized the need for Business Intelligence (BI) to navigate market dynamics effectively. BI entails gathering insights to forecast and comprehend market shifts—an imperative echoed by Jack Ma’s famous adage, “Adopt and change before any major trends and changes.” Intrigued by the prospect of BI, especially amidst the disruptive backdrop of Covid-19, Mr. Claus embarked on a journey to implement it in his company. The Formation of Business Intelligence: In today’s digital landscape, businesses amass vast amounts of data from diverse sources such as sales, customer interactions, and website traffic. This data serves as the bedrock for deriving actionable insights, enabling organizations to formulate forward-looking strategies. However, developing robust BI capabilities poses several challenges: Mr. Claus grappled with these challenges as he endeavored to develop BI independently. Recognizing the complexity involved, he turned to Salesforce, particularly intrigued by Einstein Prediction Builder. Einstein Prediction Builder Trailhead Understanding Einstein Prediction Builder: Einstein Prediction Builder, available in various Salesforce editions, leverages checkbox and formula fields to generate predictions. Before utilizing Prediction Builder, certain prerequisites must be met: Creating Einstein Predictions: To initiate the creation of Einstein Predictions, users navigate to Setup and access the Einstein Prediction Builder. The guided Setup simplifies the process, guiding users through relevant data inputs at each step. Once configured, predictions can be enabled, disabled, or cloned as needed. Key Features and Applications: Einstein Predictions integrate seamlessly with Salesforce Lightning, providing predictive insights directly on record pages. These predictions offer invaluable guidance on various aspects, such as sales opportunities and payment delays. Additionally, Prediction Builder facilitates packaging of predictions for seamless deployment across orgs and supports integration with external platforms like Tableau. Prediction Builder equips businesses with the intelligence needed to anticipate market trends, optimize workflows, and enhance customer interactions. As Mr. Claus discovered, embracing predictive analytics can revolutionize decision-making and drive sustainable growth. 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

Manage Sales Cloud Users Access to Einstein Features

In order to Manage Sales Cloud Users Access to Einstein Features, follow these steps. Duplicate the Sales Cloud Einstein For Everyone permission set, activate the permission, and allocate it to users. Navigate to Setup and enter “Permission Sets” in the Quick Find. Then, choose Permission Sets. Locate and click on the Sales Cloud Einstein For Everyone permission set. Click on “Manage Assignments.” Sales Cloud Einstein Features Einstein performs the tasks of cleansing, unifying, and updating activity data across Salesforce, email, and the calendar. This functionality enables Einstein to automatically search for contacts and opportunities by analyzing information related to emails and events. What’s covered in Sales Cloud Einstein? Sales Cloud Einstein functions as an in-house data science department, learning from your sales team‘s activities and CRM data. It assists in identifying top leads, streamlining opportunity conversions, and facilitating customer retention. Sales Cloud Einstein also encompasses the Sales Analytics app and Inbox. How can users be added to Einstein Activity Capture? In Setup, search for “Permission Sets” in the Quick Find. Then, select Permission Sets. Click on the Standard Einstein Activity Capture permission set. Use “Manage Assignments” to assign the permission set to a maximum of 100 users. What advantages does Einstein Sales Cloud offer? In Sales Cloud, Einstein AI optimizes daily business processes, leading to significant profit rate increases by understanding both current and potential customers. Salesforce provides valuable data sources for Einstein, including access to emails, calendars, tweets, and, importantly, customer data. How do I deactivate Einstein Activity Capture for a user? Utilize the Quick Find search bar on the left-hand side and search for “Einstein Activity Capture.” Under the Einstein Activity Capture section in the search results, select “Settings.” Turn off the Einstein Activity Capture settings and press Save to confirm the change. Is Sales Cloud Einstein a part of Sales Cloud? Salesforce Einstein is the world’s first “generative AI” designed for CRM. It seamlessly integrates into various Salesforce products within the Customer 360 portfolio, including Marketing Cloud and Sales Cloud. 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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Paradox of Writing With AI

Paradox of Writing With AI

It seems like some people honestly believe they can spot AI-generated content immediately, but that’s not always the case. Well-written content isn’t inherently AI-generated, and if it is AI-generated, that doesn’t necessarily mean it’s well-written. The quality of writing often depends more on the writer’s skill than the tools they use. Paradox of Writing With AI is that it will make a good writer better. And it will make a bad writer worse. The real difference in human versus AI content lies in the accessibility of writing tools and the lack of proper ethical regulation for their use. This ease of access makes it simple for people to feel entitled to judge written content. True, if you publish your writing – online or elsewhere – you open it up for judgement. But imagine if UX design or data applications were graded as indiscriminately—those discussions would likely be confined to experts rather than becoming public debates on social media condemning all well-written content. Good writing requires creativity, flair, and uniqueness, among other skills, to truly impress readers. Good writing is well-organized and flows well with consistent style or voice from beginning to end. Good writing is also free from mistakes and errors in spelling, punctuation and grammar. But that alone doesn’t make it engaging or meaningful. A good writer will brainstorm for great ideas and follow them up with research. A good writer can think of fresh angles to view a topic. A good writer is sure to re-write and self-edit to make a better draft. AI has been integrated into various tools and applications long before ChatGPT was launched. Search engines use it to provide relevant results; social media algorithms keep your favorite content visible; Siri and Alexa rely on natural language processing and speech recognition; Netflix and Spotify use AI recommendation systems to cater to your tastes, and so on. AI enhances human ideas, not just in writing, but across many fields. Writing With AI is Inevitable For instance, Chinese Nobel laureate Mo Yan surprised everyone at the 65th-anniversary celebration of Shouhuo magazine by revealing he uses ChatGPT. During his speech praising fellow author Yu Hua, he mentioned that he struggled to write a commendation and asked a doctoral student to use ChatGPT for help. This revelation caused quite a stir, as it was unexpected for a Nobel Prize winner to use AI for writing. Why shouldn’t he? If AI makes a good writer better, then most of us should be employing it. Mo Yan isn’t alone. Rie Kudan, the 17th winner of Japan’s Akutagawa Prize, admitted to using ChatGPT for her novel, Tokyo-to Dojo-to. She stated that about 5% of the book consists of AI-generated sentences. Kudan, who is introverted, shared that frequent interactions with the AI tool allowed her to express personal thoughts she couldn’t comfortably discuss with others. ChatGPT’s responses often sparked dialogue in her novel, adding a unique dimension to her writing process. Grammarly, another AI tool, is why some people’s writing doesn’t reflect their irritation when discussing AI-generated content online. Grammarly has been widely used for editing and proofreading, ensuring users’ writing maintains a promotional tone and corrects errors without sounding sarcastic or bored. The Problem with Sounding Alike & The Uniqueness of a Writer’s Voice A significant issue with AI-generated content is that many written works sound similar. Writers need to develop unique voices. While Jane Austen, Mary Shelley, and the Brontë sisters are admirable, emulating their ornate language can interfere with communication’s primary purpose. Excessive fanciness can make speech overly flamboyant, akin to Oscar Wilde’s works. However asking AI to work through your content and put it in the voice of a known writer, add humor, or change the tense is time saving. The problem isn’t that AI enables people to produce well-crafted content. Many individuals have exceptional writing skills and huge vocabularies. The real issue is the uniformity in everyone’s writing, a lack of diversity that AI can perpetuate. Yet, you only have to Google any topic and you will find many blog posts and articles that share the same view, and perhaps the same voice. Some discussions about AI resemble early 2000s conspiracy theories about cell phones. While the context has changed, the tone remains similar. The Importance of Creativity in Writing & Our Language Creativity is essential in writing. Even AI relies on human creativity. Without our input, machines would repeatedly generate the same content. Machine learning in AI is about learning from people. Our role is crucial, demonstrating the value of our unique voices. Developing a unique voice takes time and effort, which is why creatives like Kelly McKernan, Nicki Minaj, Elin Hilderbrand, and Jonathan Franzen are suing AI companies for copyright infringement. These unique voices significantly impact language evolution, and it’s vital for us to continue growing creatively. Writers play a crucial role in language evolution by creating new words or phrases that captivate readers. Over time, these innovations can enrich the language. A writer’s distinctive style can set trends, leading to significant changes in language use. This power must be used wisely. Famous writers’ narrative structures and dialogue usage can inspire others. For example, Dr. Seuss coined “nerd,” J.R.R. Tolkien introduced “tween,” Milton created “pandemonium”, novelist William Gibson first used “cyberspace”, Johnathon Swift gave us “yahoo” in Gulliver’s Travels, and Charles Dickens gave us “boredom.” The core of a good piece of writing is a great idea. With a strong core idea, the writer can easily layer the content around it. Content even can build the framework from which comes a whole new word. Content includes interesting examples to which the reader can relate. That content needs to be well-organized and clear in form so that the reader can easily see the message or find the intended meaning. In addition, the writing should have style and the right voice that matches its topic and theme while also reflecting what the author believes.  Writing Through the Centuries Writing has evolved over centuries, influencing language development. During

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Salesforce Einstein Features

Salesforce Einstein Features

Salesforce Einstein Discover the power of the #1 AI for CRM with Einstein. Built into the Salesforce Platform, Einstein uses powerful machine learning and large language models to personalize customer interactions and make employees more productive. With Einstein powering the Customer 360, teams can accelerate time to value, predict outcomes, and automatically generate content within the flow of work. Einstein is for everyone, empowering business users, Salesforce Admins and Developers to embed AI into every experience with low code. Salesforce Einstein Features. Einstein Copilot Sales Actions: Sell faster with an AI assistant in the flow of work.Call Exploration: Ask Einstein to synthesize important call information in seconds. Ask Einstein to identify important takeaways and customer sentiment, so you have the context you need to move deals forward.

 Sales Summaries: Summarize records to identify likelihood the deal will close, the competitors involved, key activities, and more. Forecast Guidance: Ask Einstein to inform your forecast and help you identify which deals need your attention. Close Plan: Generate a customized action plan personalized to your customer and sales process. Increase conversion rates with step-by-step guidance and milestones grounded in CRM data. Salesforce Einstein Features Sales Generative AI features: ° Knowledge Creation: ° Search Answers for Agents and Customers: Einstein Copilot Service Actions: Streamline service operations by drafting Knowledge articles and surfacing answers, grounded in knowledge, to the most commonly asked questions. Summarize support interactions to save agent time and formalize institutional knowledge. Surface generated answers to agents’ & customers’ questions that are grounded in your trusted Knowledge base directly into your search page. Search Answers for Agents is included in the Einstein for Service Add-on SKU and Search Answers for Customers is included in the Einstein 1 Service Edition.
Empower agents to deliver more personalized service and reach resolutions faster with an AI assistant built into the flow of work. You can leverage out-of-the-box actions like summarize conversations or answer questions with Knowledge or you can build custom actions to fit your unique business needs. Service Salesforce Einstein Features This Release Einstein CopilotSell faster with an AI assistant. No data requirements
Included in Einstein 1 Sales Edition.hEinstein Copilot: Sales ActionsSell faster with an AI assistant.No data requirements. 
 Call explorer and meeting follow-up requires Einstein Conversation Insights.
Included in Einstein 1 Sales Edition. Generative AIBoost productivity by automating time-consuming tasks.No data requirements. 
 Call summaries and call explorer requires Einstein Conversation Insights.
Included in Einstein 1 Sales Edition. Einstein will use a global model until enough data is available for a local model. For a local model: ≥1,000 lead records created and ≥120 of those converted in the last 6 monthsEinstein Automated Contacts Automatically add new
contacts & events to your CRM≥ 30 business accounts. If you use Person Accounts, >= 50 percent of accounts must be business accounts Einstein Recommended ConnectionsGet insights about your teams network to see who knows your customers and can help out ona deal ≥ 2 users to be connected to Einstein Activity Capture
and Inbox (5 preferred) Einstein Forecasting Easily predict sales forecasts inside
of Salesforce Collaborative Forecasting enabled; use a standard fiscal year; measure forecasts by opportunity revenue; forecast hierarchy must include at least one forecasting enabled user who reports to a forecast manager; opportunities must be in Salesforce ≥ 24 months;Einstein Email Insights Prioritize your inbox with actionable intelligence Einstein Activity Capture enabledEinstein Activity Metiics (Activity 360) Get insight into the activities you enter
manually and automatically from Einstein
Activity Capture Einstein Activity Capture enabled Sales Analytics Get insights into the most common sales KPIs No data requirements. User specific requirements like browser and device apply Einstein Conveisation Insights Gain actionable insights from your sales calls with conversational intelligenceCall or video recordings from Lightning Dialer, Service Cloud Voice, Zoom and other supported CTI audio and video partners.Buyer Assistant Replace web-to-lead forms with real-time conversations. No data requirements – Sales Cloud UE or Sales Engagement. Einstein Opportunity ScoringEinstein Activity CaptuiePrioritize the opportunities most likely to convertAutomatically capture data & add to your CRMEinstein will use a global model until enough data is available for a local model. For a local model: ≥ 200 closed won and ≥ 200 closed lost opportunities in the last 2 years, each with a lifespan of at least 2 days≥ 30 accounts, contacts, or leads; Requires Gmail, Microsoft Exchange 2019, 2016, or 2013 Einstein Relationship Insights Speed prospecting with AI that researches for you. No data requirements. Einstein Next Best Action Deliver optimal recommendations at the point of maximumimpactNo data requirements. User specific requirements like browser and device apply Sales AIGenerate emails, prioritize leads & opportunities most likely to convert, uncover pipeline trends, predict sales forecasts, automate data capture, and more with Einstein for Sales. Generative AIPrompt BuilderEinstein Lead ScoringEinstein Opportunity ScoringEinstein Activity CaptureEinstein Automated ContactsEinstein Recommended ConnectionsEinstein ForecastingEinstein Email InsightsEinstein Activity Metrics (Activity 360)Sales AnalyticsEinstein Conversation InsightsBuyer Assistant Sales AIGenerative AI: 
Feature Why is it so Great? What do I need? Automate common questions and business processes to solve customer requests fasterBoost productivity by auto-generating service replies, summarizing conversations during escalations andtransfers or closed interactions, drafting knowledge articles, and surfacing relevant answers grounded inknowledge for agents’ and customers’ commonly asked questions. Deliver optimal recommendations at the point of maximum impactEliminate the guesswork with AI-powered recommendations for everyoneDecrease time spent on manual data entry for incoming cases and improve case field accuracy and completionAutomate case triage and solve customer requests fasterDecrease time spent selecting field values needed to close a case with chat conversations and improved field accuracySurface the best articles in real time to solve any customer’s questionEliminate time spent typing responses to the most common customer questionsGet insights into contact center operations, understand customers, and deliver enhanced customerexperiencesChat or Messaging channels, minimum of 20 examples for most languagesNo data requirements. User specific requirements like browser and device apply Make sure that your dataset has the minimum records to build a successful recommendation. Recipient Records need a minimum of 100 records,Recommended Item Records need a minimum of 10 records, andPositive Interaction Examples need a minimum of 400 records

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Slack and Salesforce

AI in Slack

Introducing AI in Slack If you are unfamiliar with the Slack collaboration tool, learn more here. Incorporating Artificial Intelligence (AI) into Slack marks a significant milestone, one that is a real gamechanger. Slack’s ability to consolidate projects, data, and conversations into one platform has been a time saver for businesses, fostering collaboration and enhancing productivity. Now, with the introduction of native AI features, users can leverage their collective knowledge more efficiently than ever before. “For the past decade, Slack has transformed the way we work, facilitating seamless integration of people, apps, and systems. With Slack AI, we’re poised to elevate this transformation further. These new AI capabilities empower our customers to tap into the wealth of knowledge within Slack, enabling smarter work processes, faster decision-making, and more focus on innovation and growth.” Denise Dresser, CEO of Slack Enhancing Work Efficiency with AI The traditional approach to work often comes with productivity challenges, particularly when employees lack access to critical, time based information. Studies reveal that nearly half of digital workers struggle to find necessary information, leading to suboptimal decision-making. By integrating AI features into Slack, users can instantly access contextual information related to any project or policy within their organization’s history. This streamlines workflows and enables teams to make better-informed decisions efficiently. Slack’s Commitment to Simplified Work Processes Slack has always aimed to simplify work processes, bringing conversations, automation, and productivity tools into one unified platform. From channel-based discussions to real-time collaboration and process automation, Slack offers a comprehensive solution for teams. Moreover, Slack seamlessly integrates with popular tools like Salesforce, Workday, and Google Drive, facilitating smoother business operations and accelerating task completion. AI in Slack With Slack’s channel-based model serving as the foundation, users can create a centralized repository of information. Every message, canvas, and clip contributes to this repository, forming a searchable database of collective knowledge. Intelligent search functionality further enhances accessibility, enabling users to retrieve relevant information effortlessly. AI-powered features, such as channel recaps, thread summaries, and search answers, revolutionize how teams interact with information. Channel recaps provide key highlights from discussions, allowing users to catch up quickly and make informed decisions. Thread summaries condense lengthy conversations, facilitating faster comprehension and decision-making. Additionally, search answers offer concise responses to queries, leveraging relevant Slack messages to provide valuable insights. Embracing AI for Future Growth As businesses recognize the potential of AI to drive efficiency and productivity, Slack’s AI features offer a seamless transition. By embedding AI tools directly into the Slack workspace, users can harness the power of AI effortlessly, without the need for complex configurations or separate applications. Overall, Slack AI empowers teams to reach their full potential by leveraging corporate knowledge effectively. With AI-driven insights at their fingertips, teams can save time, make better decisions, and drive meaningful outcomes for their organizations. AI in Slack 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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