November, 2023 - gettectonic.com - Page 3
Salesforce Sales Enablement

Salesforce Permissions for Sales Enablement Team

Assigning Permissions to Your Sales Enablement Team in Salesforce: Salesforce Permissions for Sales Enablement teams make everyone’s access safe. 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 Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Government-Citizen Communication

Government-Citizen Communication

Engaging Citizens and Influencing Behavior: A Public Sector Strategy Engaging citizens and influencing their behavior to achieve mission-critical outcomes follows a model similar to the traditional marketing funnel used in the private sector. By adapting this approach, government communicators can drive tangible results that contribute to the overall well-being of society. Government-Citizen Communication. Public Sector Communication Objectives: In today’s digital age, citizens expect timely, personalized communication. To meet this demand, government agencies must deliver the right message through the right channels at the right time. A failure to do so risks reduced engagement, which can negatively affect the success of public programs. Expanding Audience Reach To maximize citizen engagement, it’s crucial to focus on reaching a broader audience rather than narrowing it. A key question for communicators and their teams to ask is: “How broad is our audience?” This is an essential aspect of the funnel that ensures wider reach and greater impact. Communication Methods Public sector communication often utilizes a mix of channels, including radio, newspapers, television, and social media, to connect with the public. Collaboration is vital in this sector, requiring effective communication tools to coordinate across teams, departments, and agencies. As technology evolves, new tools are enhancing how public servants communicate and collaborate. Technology-Driven Collaboration Tools Several communication and collaboration tools are reshaping how the public sector operates: Best Practices for Government-Citizen Communication To foster effective engagement, government agencies should implement the following best practices: Secure, Customizable Citizen Communication Solutions Governments can benefit from a secure, open-source communication tool tailored to public sector needs. Such solutions ensure compliance with data protection laws and foster trust between citizens and government institutions, enhancing public service delivery and digital engagement. Tectonic’s Conclusion For optimal citizen engagement, government communicators must focus on expanding their audience reach and utilizing advanced communication tools. In doing so, they can enhance collaboration, drive citizen involvement, and ensure the success of critical public programs. 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 Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Fine Tune Your Large Language Model

Fine Tune Your Large Language Model

Revamping Your LLM? There’s a Superior Approach to Fine Tune Your Large Language Model. The next evolution in AI fine-tuning might transcend fine-tuning altogether. Vector databases present an efficient means to access and analyze all your business data. Have you ever received redundant emails promoting a product you’ve already purchased or encountered repeated questions in different service interactions? Large language models (LLMs), like OpenAI’s ChatGPT and Google’s Bard, aim to alleviate such issues by enhancing information-sharing and personalization within your company’s operations. However, off-the-shelf LLMs, built on generic internet data, lack access to your proprietary data, limiting the nuanced customer experience. Additionally, these models might not incorporate the latest information—ChatGPT, for instance, only extends up to January 2022. To customize off-the-shelf LLMs for your company, fine-tuning requires integrating your proprietary data, but this process is costly, time-consuming, and may raise trust concerns. A superior alternative is a vector database, described as “a new kind of database for the AI era.” This database offers the benefits of fine-tuning while addressing privacy concerns, promoting data unification, and saving time and resources. Fine-tuning involves training an LLM for specific tasks, such as analyzing customer sentiment or summarizing a patient’s health history. However, it is resource-intensive and fails to resolve the fundamental issue of fragmented data across your organization. A vector database, organized around vectors that describe different types of data, can seamlessly integrate with an LLM or the prompt. By storing and organizing data with an emphasis on vectors, this database streamlines access to relevant information, eliminating the need for fine-tuning and unifying enterprise data with your CRM. This is pivotal for the accuracy, completeness, and efficiency of AI outputs. Unstructured data, comprising 90% of corporate data, poses a challenge for LLMs due to its varied formats. A vector database resolves this by allowing AI to process unstructured and structured data, delivering enhanced business value and ROI. Ultimately, a company’s proprietary data serves as the cornerstone for constructing an enterprise LLM. A vector database ensures seamless storage and processing of this data, facilitating better decision-making across all business applications. 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 Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Salesforce Service Cloud Intelligence

Salesforce Service Cloud Service Intelligence Enhancements

Service Intelligence, a data-centric solution, showcases vital performance metrics within the contact center. Recent Service Intelligence Enhancements have given even greater insights. In a significant launch, Salesforce introduced Service Intelligence. Service Intelligence an advanced analytics app for Service Clou. It is aimed at boosting agent efficiency, reducing costs, and elevating customer satisfaction. Service Intelligence Enhancements and updates within this Salesforce product aim to bolster operational efficiency and take customer satisfaction to unprecedented heights. Representing a new milestone for Service Cloud, the Winter ’24 innovations redefine how businesses approach customer service and optimize operations. Fueled by Data Cloud, Salesforce’s real-time hyperscale data engine, Service Intelligence provides users with direct access to all their data within Service Cloud, eliminating the need to switch between screens for information. Pre-built and customizable dashboards in Service Intelligence offer a comprehensive view of essential metrics, including customer satisfaction and individual and team workloads. With Einstein Conversation Mining, service professionals can leverage AI to analyze customer chat and email conversations, uncover insights, assess the likelihood of complaint escalation, and proactively address issues with customers. The relevance of AI is emphasized, with an 88% increase in AI adoption among service professionals from 2020 to 2022. With 63% acknowledging that AI will help them serve customers faster. Service professionals are embracing AI enabling to make informed decisions swiftly, gaining a competitive edge. Service Intelligence Enhancements As of 2023, Service Intelligence is now generally available. Key features include pre-built service dashboards offering AI-powered insights through Einstein Conversation Mining, providing visibility into key metrics across cases. Einstein Conversation Mining employs AI to analyze customer conversations. Einstein Conversation mining enables quick identification of trends and top customer issues. Tableau integration allows users to seamlessly explore data in Tableau directly from a Service Intelligence dashboard, maintaining data context from their service console. Service Intelligence encompasses Data Cloud, CRM Analytics, and Einstein Conversation Mining. There by offering a wealth of information such as customer data and key performance indicators (KPIs) to help service teams enhance operations and reduce costs. Einstein for Service accelerates customer communication and satisfaction by generating email responses based on knowledge articles. The Winter ’24 release introduces the Lightning Article Editor and Article Customization in Salesforce Service Cloud, marking a significant advancement in knowledge management. The Lightning Article Editor simplifies content creation and editing. Thus enabling support and customer service teams to produce informative material efficiently. These enhancements in Service Cloud streamline operations, empower agent performance, and usher in a new era of customer satisfaction. Explore these exciting updates to transform your organization’s strategy. Embrace the future of service excellence with the Winter ’24 release for Service Cloud. Like Related Posts Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more 50 Advantages of Salesforce Sales Cloud According to the Salesforce 2017 State of Service report, 85% of executives with service oversight identify customer service as a Read more Salesforce Artificial Intelligence Is artificial intelligence integrated into Salesforce? Salesforce Einstein stands as an intelligent layer embedded within the Lightning Platform, bringing robust Read more CRM Cloud Salesforce What is a CRM Cloud Salesforce? Salesforce Service Cloud is a customer relationship management (CRM) platform for Salesforce clients to Read more

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Salesforce Success Story

Case Study: Leading Provider of Branded, Designed Solutions Worldwide-Manufacturing-Salesforce Sales/Service/Experience Clouds

Leading provider of branded, designed solutions (laminate) for commercial and residential customers worldwide.  The company has been surfacing spaces for 110 years. Client struggled with no real ability to see a 360 degree view of the business.

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