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AI Capability Maturity Model

AI Capability Maturity Model

The AI Capability Maturity Model (AI CMM), devised by the Artificial Intelligence Center of Excellence within the GSA IT Modernization Centers of Excellence (CoE), functions as a standardized framework for federal agencies to evaluate their organizational and operational maturity levels. It is equally useful for private organizations in aligning them with predefined objectives. Instead of imposing normative capability assessments, the AI CMM concentrates on illuminating significant milestones indicative of maturity levels along the AI journey. The AI Capability Maturity Model focuses primarily on the development of AI capabilities within an organization. It evaluates an organization’s maturity across four main areas: data, algorithms, technology, and people. Serving as a valuable tool, the AI CMM assists organizations in shaping their unique AI roadmap and investment strategy. The outcomes derived from AI CMM analysis empower decision-makers to identify investment areas that address immediate goals for rapid AI adoption while aligning with broader enterprise objectives in the long run. Maturity vs capability models A maturity model tends to measure activities, such as whether a certain tool or process has been implemented. In contrast, capability models are outcome-based, which means you need to use measurements of key outcomes to confirm that changes result in improvements. AI development rooted in sound software practices underpins much of the content discussed in this and other chapters. Though not explicitly delving into agile development methodology, Dev(Sec)Ops, or cloud and infrastructure strategies, these elements are fundamental to the successful development of AI solutions. The AI CMM elaborates on how a robust IT infrastructure leads to the most successful development of an organization’s AI practice. What are the maturity levels of AI? What are the maturity levels of Artificial Intelligence? Or it can be measured this way. AI Maturity Model Why is AI maturity important? The AI Maturity Assessment is a process designed to help organizations evaluate their current AI capabilities, identify gaps and areas for improvement, and develop a roadmap to build a more effective AI program. Organizational Maturity Areas Organizational maturity areas represent the capacity to embed AI capabilities across the organization. Two approaches, top-down and user-centric, offer distinct perspectives on organizational maturity. Top-Down, Organizational View Bottom-Up, User-centric View Operational Maturity Areas Operational maturity areas represent organizational functions impacting the implementation of AI capabilities. Each area is treated as a discrete capability for maturity evaluation, yet they generally depend on one another. PeopleOps CloudOps DevOps SecOps DataOps MLOps AIOps AI Capability Maturity Model This comprehensive overview of organizational and operational maturity areas underlines the multifaceted nature of AI implementation and the critical role played by diverse elements in ensuring success across different layers of an organization. How AI is transforming the world? AI-powered technologies such as natural language processing, image and audio recognition, and computer vision have revolutionized the way we interact with and consume media. With AI, we are able to process and analyze vast amounts of data quickly, making it easier to find and access the information we need. Like1 Related Posts 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 Salesforce’s Quest for AI for the Masses The software engine, Optimus Prime (not to be confused with the Autobot leader), originated in a basement beneath a West Read more How Travel Companies Are Using Big Data and Analytics In today’s hyper-competitive business world, travel and hospitality consumers have more choices than ever before. With hundreds of hotel chains Read more Sales Cloud Einstein Forecasting Salesforce, the global leader in CRM, recently unveiled the next generation of Sales Cloud Einstein, Sales Cloud Einstein Forecasting, incorporating Read more

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Manage Customer Relationships with Experience Cloud

Prerequisites to Use Inspections Feature in Salesforce’s Public Sector Solutions

Configure and use the inspections feature in Salesforce’s public sector solution to evaluate regulatory code compliance and record violations through onsite visits. Configure and use assessments for complex inspections, investigations, evaluations, screenings, and audits, onsite or virtually. Salesforce solutions for public sector, government, and tribal nations has evolved! Inspections Prerequisites Available in: Lightning ExperienceAvailable in: Enterprise, Performance, Unlimited, and Developer Editions with Public Sector Solutions Before you set up inspections feature in Salesforce’s Public Sector Solution, complete the following prerequisites. Prepare your org before you start to configure regulatory codes, assessment indicators, inspectionand violation types, and other inspection entities. If you are using Salesforce for the Public Sector and want to learn more about the Inspections feature, contact Tectonic today. Public Sector Solutions provides two frameworks to help you to determine whether an applicant qualifies for a business license, permit, program, or benefit: inspections and assessments. Inspections are designed to evaluate regulatory compliance, such as whether a business meets fire or heath and safety regulations. Like Related Posts 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 Government Cloud: Ensuring Compliance and Security Salesforce Government Cloud public sector solutions offer dedicated instances known as Government Cloud Plus and Government Cloud Plus – Defense. Read more How Travel Companies Are Using Big Data and Analytics In today’s hyper-competitive business world, travel and hospitality consumers have more choices than ever before. With hundreds of hotel chains Read more Integration of Salesforce Sales Cloud to Google Analytics 360 Announced In November 2017, Google unveiled a groundbreaking partnership with Salesforce, outlining their commitment to develop innovative integrations between Google Analytics Read more

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Evaluating RAG With Needle in Haystack Test

Evaluating RAG With Needle in Haystack Test

Retrieval-Augmented Generation (RAG) in Real-World Applications Retrieval-augmented generation (RAG) is at the core of many large language model (LLM) applications, from companies creating headlines to developers solving problems for small businesses. Evaluating RAG With Needle in Haystack Test. Evaluating RAG systems is critical for their development and deployment. Trust in AI cannot be achieved without proof AI can be trusted. One innovative approach to this trust evaluation is the “Needle in a Haystack” test, introduced by Greg Kamradt. This test assesses an LLM’s ability to identify and utilize specific information (the “needle”) embedded within a larger, complex body of text (the “haystack”). In RAG systems, context windows often teem with information. Large pieces of context from a vector database are combined with instructions, templating, and other elements in the prompt. The Needle in a Haystack test evaluates how well an LLM can pinpoint specific details within this clutter. Even if a RAG system retrieves relevant context, it is ineffective if it overlooks crucial specifics. Conducting the Needle in a Haystack Test Aparna Dhinakaran conducted this test multiple times across several major language models. Here’s an overview of her process and findings: Test Setup Key Findings Further Experiments We extended our tests to include additional models and configurations: Models Tested: Lars Wiik Similar Tests Included: Result Evaluating RAG With Needle in Haystack Test The Needle in a Haystack test effectively measures an LLM’s ability to retrieve specific information from dense contexts. Our key takeaways include: The test highlights the importance of tailored prompting and continuous evaluation in developing and deploying LLMs, especially when connected to private data. Small changes in prompt structure can lead to significant performance differences, underscoring the need for precise tuning and testing. 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 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 Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

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Generative AI Glossary

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

As generative AI plays an increasingly significant role in shaping business decisions and reshaping customer relationships, leaders must grasp the potential.  This means use cases, and risks associated with AI. The good, the bad, and the ugly.  Questions to Ask About Generative AI gene pool. The journey begins with asking pertinent questions. Are you feeling overwhelmed by generative AI yet? The multitude of questions that businesses need to address regarding AI—covering technology, skills, privacy, data, and organizational requirements, among others—can be seemingly endless. Knowing where to start and identifying the most crucial AI-related questions before jumping into implementation can be challenging.  But it is totally worth the time. “Many organizations are venturing into AI for the first time. They are transitioning from predictive AI, machine learning, or deep learning to explore the next generation of AI for elevating productivity.” Marc Benioff, CEO of Salesforce While the demand and potential of AI are substantial, so are the associated risks. To assist in navigating this landscape, here’s a snapshot: Employee View: Exec Summary: Your Next Move: By Tectonic’s Marketing Consultant, Shannan Hearne Like Related Posts Salesforce Artificial Intelligence Is artificial intelligence integrated into Salesforce? Salesforce Einstein stands as an intelligent layer embedded within the Lightning Platform, bringing robust Read more Salesforce’s Quest for AI for the Masses The software engine, Optimus Prime (not to be confused with the Autobot leader), originated in a basement beneath a West Read more How Travel Companies Are Using Big Data and Analytics In today’s hyper-competitive business world, travel and hospitality consumers have more choices than ever before. With hundreds of hotel chains Read more Sales Cloud Einstein Forecasting Salesforce, the global leader in CRM, recently unveiled the next generation of Sales Cloud Einstein, Sales Cloud Einstein Forecasting, incorporating Read more

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crm analytics

Build Better Tableau Dashboards

The effort made to build better Tableau dashboards pays tenfold in there readability and usability. “Dashboard design is not about making dashboards ‘pretty. It’s making them functional and helping the user to get the information they need as efficiently as possible.” ALEXANDER WALECZEK, ANALYTICS PRACTICE LEAD AND TABLEAU AMBASSADOR Effective communication with your audience involves considering their needs from start to finish. The key lies in posing the right questions. To convey information to your readers in an engaging manner, it is crucial to grasp fundamental aspects, such as: Possibly, when tailoring content for a time-pressed salesperson with only 15 seconds to spare for crucial performance indicators, it is imperative to present the most vital information in a glance. Additionally, ensuring that the dashboard is mobile-friendly and loads swiftly becomes essential. On the other hand, if your target audience consists of a team set to review quarterly dashboards over an extended period, offering more detailed views of the data might be advisable. Build Better Tableau Dashboards for Your Audience Take into account the expertise level of your audience. Gain a deeper understanding of their skill set by inquiring about their priorities and data consumption habits. This insight is crucial for determining the most effective way to present data, guiding key design decisions. For instance, a novice may require more action-oriented labels for filters or parameters compared to an advanced user. Here are four effective methods to assess the dashboard and data proficiency of your audience: Adjust Your Narrative Adjust your narrative accordingly. Tailoring your dashboards to suit the intended audience enhances their impact. Below are three visualizations depicting the distribution of tornadoes in the United States for the first nine months of the year. The distinction lies in the level of visual information employed to convey the narrative. There might e an extremely minimal presentation, progressing in complexity towards the right. None of these approaches is inherently superior to the others. The minimal visualization on the left might be ideal for audiences well-versed in the subject matter, appreciating simplicity and the elimination of redundancy. On the other hand, for newcomers or individuals viewing the visualization just once, the explicitness of the visualization on the right could be more effective. Determining what constitutes clutter versus essential information is where collaboration with colleagues becomes crucial. Crafting persuasive dashboards involves making a lasting impact on partnership. By closely collaborating with line-of-business stakeholders, you can secure the buy-in and engagement needed to tailor the dashboard to their specific requirements and expectations. This collaborative approach forms the essence of dashboard persuasion. A Work in Progress Demonstrate your process and embrace iterative refinement. Establishing a culture of analytics should be accompanied by a culture of supportive and frequent critique. Creating multiple versions of your work and actively seeking feedback throughout the process will contribute to a superior final product. Avoid isolation and stagnation; share your progress with others, use the feedback to refine your work, and repeat the process until you achieve a satisfactory result. Much like the formation of a diamond requiring extraordinary heat, pressure, and time, the outcome is worth the effort. Encouraging critiques is essential for cultivating a culture of constructive feedback. Trust among colleagues is important, arguably it enables mutual respect and trust in each other’s feedback. Developing a thick skin is also necessary, focusing on designing dashboards that cater to users and clients’ needs rather than personal preferences. Similar to writers who must “kill their darlings,” designers must prioritize the overall effectiveness of the dashboard, making honest assessments and adjustments when needed. “It also helps to have a public place—on a real or virtual wall—for sharing work. Making work public creates constant opportunities for feedback and improvements.” 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 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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add-ons for public sector solutions salesforce

Add-Ons for Salesforce Public Sector

Enhance your Public Sector Solutions implementation by incorporating add-ons. For instance, consider obtaining an add-on license for CRM Analytics, featuring prebuilt dashboards with predictive analytics to enhance constituent service. Alternatively, opt for an add-on license for Intelligent Document Reader, utilizing optical character recognition to extract data from paper-based forms and supplementary documents directly into Salesforce records. Further, explore add-on licenses for Einstein Relationship Insights, additional calls for the Business Rules Engine, or extra business and individual application forms.

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Salesforce Revenue Lifecycle Management

Salesforce Revenue Lifecycle Management

Seamless Revenue Lifecycle Management Powered by Salesforce Revenue Cloud Is your company struggling to manage complex revenue streams, manual billing processes, or compliance with ASC 606 and IFRS 15 standards? Tectonic specializes in implementing Salesforce Revenue Lifecycle Management solutions through Salesforce Revenue Cloud. We offer tailored strategies for mid-market and enterprise companies across industries like High Tech, SaaS, Manufacturing, Hospitality, and Life Sciences. Industries We Serve The Challenges You Face Managing complex revenue streams can be overwhelming without the right systems. If your business is facing challenges like: Tectonic’s Tailored Solutions – Salesforce Revenue Lifecycle Management We leverage Salesforce Revenue Cloud to automate and streamline your Salesforce Revenue Lifecycle Management, helping companies overcome these challenges with ease. Key Use Cases for Salesforce Revenue Lifecycle Management (RLM) Content updated September 2024. 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 for Energy and Utilities

Salesforce for Energy and Utilities

The Energy & Utilities Cloud (E&U Cloud) integrates and extends the comprehensive capabilities of Salesforce Sales and Service Cloud. Integrated with the Salesforce Platform to provide an industry-specific solution tailored for utilities, retail energy, and modern energy services companies. Align your business with the future of energy through personalized service, unified customer and asset data, and enhanced business agility. Key Features: By Tectonic’s Salesforce Marketing Consultant, Shannan Hearne 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 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

Spring ’24 Salesforce Enhancements to Health Cloud and the Financial Services Industry

Salesforce Enhancements to Health Cloud and the Financial Services Industry bring about big changes for Health Cloud and financial services solutions. Enhancements Home Health Enhancements Health Cloud Deliver connected health in the home with new slot broadcasting, intelligent medication management, and a self-service patient portal. Provider Relationship and Network Management Enhancements Health Cloud Process referrals faster with automated intake, guided flows, and fax-conversion. Simplify provider searches with filters for conditions, services, and geographic location. Advanced Therapy Management Enhancements Health Cloud Use e-signatures to maintain FDA compliance with a digital trail of custody. Interoperability Enhancements Health Cloud Accelerate healthcare interoperability with clicks, not code. Use real-time APIs for EMRs, embedded analytics, and bulk data ingestion to simplify integration. Personalized Financial Engagement Financial Services Unify terabytes of customer data across legacy and third-party systems into a single view. Ignite your personalization strategy at scale by using out-of-the-box calculated insights to create targeted segments and improve employee efficiency. Automation Templates Enhancements Financial Services Deliver self-service embedded into your digital banking solutions, move faster with an expanded library of prebuilt service process templates, and streamline transaction disputes with a dedicated data model and smart intake capabilities. Transaction Dispute Management Enhancements Financial Services Streamline complex dispute processes to drive faster resolution. Generate personalized email communications drafts using prompts based on relevant customer data. Eliminate the inefficiencies of switching between systems and reduce operational costs. Actionable Segmentation Enhancements Financial Services Build more advanced lists with Data Cloud and AI-driven Propensity Scores. Drive business outcomes with new actions like adding list members to a Sales Cadence. Salesforce Enhancements to Health Cloud and the Financial Services Industry Stay tuned to Tectonic’s Insights for more details and news from Salesforce. Salesforce Enhancements to Health Cloud and the Financial Services Industry 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 Data Cloud

Salesforce Data Cloud License Offer

At Dreamforce 2023, Salesforce announced that Data Cloud free licenses are now included for all Enterprise Edition or above customers so they can become familiar with the new capabilities and develop use case ideas for Salesforce Data Cloud. Salesforce Data Cloud License Offer! Are you taking advantage of Salesforce Data Cloud’s customer 360 capabilities when it comes to intuitive, fast, efficient customer service? Today is the day! With the Salesforce Data Cloud Offer you can take advantage now! Data Cloud is the fastest growing organically built product in Salesforce’s history (Salesforce built it themselves, not via acquisitions). Data Cloud could be described as the ‘Holy Grail of CRM’, meaning that the data problem that’s existed since the earliest days of CRM is now finally solved. This is truly a 360 degree customer view. Why is Data Cloud important? A data cloud gives you an infrastructure for efficient data management across multiple systems at any scale. You can ensure data is available to anyone who needs it without compromising data integrity or security. There’s never been a better time to partner with Tectonic to explore Salesforce Data Cloud for your data and your business. Take advantage of the Data Cloud License Offer today. Like1 Related Posts Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. 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 How Travel Companies Are Using Big Data and Analytics In today’s hyper-competitive business world, travel and hospitality consumers have more choices than ever before. With hundreds of hotel chains Read more Advantages of a Cloud Managed Service Provider Considering outsourcing your IT management to a cloud managed service provider? Here are several benefits of opting for a cloud Read more

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Salesforce Logo

Spring ’24 Enhancements to Salesforce Analytics, Data Cloud, Einstein, and Net Zero Cloud

Discover the Spring ’24 Enhancements to Analytics Data Cloud Einstein and Net Zero Cloud Enhancements to Salesforce Analytics, Data Cloud, Einstein, and Net Zero Cloud in Spring’24. Reports and Dashboards for Data Cloud Enhancements Analytics Create custom report types, more core semantics, calculated insights, and date and time formulas. Analytics Collection Components Analytics Curate related analytics assets for better organization and easier consumption. Embed a specific collection directly into Lightning pages to easily access the insights you need right in your workflow. Enhanced Dashboard Customization Analytics Easily create and remember custom colors for widgets. Save hours in development time by applying layouts and colors to all widgets in a dashboard with just a few clicks. Revenue Intelligence Enhancements Analytics A new streamlined setup helps you get started even faster, and a library of KPI components lets you further customize Forecast Insights. To better understand conversation rates, use the new Win Rate Funnel view. Data Graphs Data Cloud Combine multiple data model objects and calculated insights into a unified view. New Profile API improves query performance to power near real-time use cases across Customer 360. Bring Your Own Lake with Snowflake Data Cloud Share data between Data Cloud and Snowflake with zero-ETL. With Data Federation, you can now share your data bidirectionally and access Snowflake datasets in Salesforce to enrich your unified customer profiles and unlock new insights. Bring Your Own Lake with Google BigQuery Data Cloud Share data between Data Cloud and Google BigQuery with zero-ETL. With seamless data access, you can enrich your unified customer profiles with BigQuery datasets, helping you unlock new insights and better power your Google Analytics and AI models. Streaming Data Ingest for Salesforce CRM Connector Data Cloud Ingest changes to Salesforce standard and custom objects in near real-time with streaming data ingest for the Salesforce CRM Connector. Now, existing batch ingestion checks for more frequent updates to your Salesforce objects. Einstein Copilot Einstein Embed Einstein Copilot—a conversational AI assistant—across all Salesforce applications to help teams be more productive. Automate steps or tasks with out-of-the-box actions, or create custom actions that call flows, Apex, or MuleSoft APIs. Prompt Builder Einstein Create, test, and refine prompt templates easily without code. Ground prompts with dynamic CRM data, including merge fields and flows. Invoke prompted workflows across the Einstein 1 Platform through Flow, Lightning Web Components, and Apex. ESG (Environmental, Social, and Governance) Disclosure Authoring with Generative AI Net Zero Cloud Use Einstein to generate more efficient Corporate Sustainability Reporting Directive (CSRD), Global Reporting Initiative (GRI), and Carbon Disclosure Project (CDP) reports. Einstein can access and use the internal information you’ve uploaded to Net Zero Cloud to write and answer specific questions required for these reporting standards. Disclosure and Compliance Hub Plugin for Microsoft Word Net Zero Cloud Net Zero Cloud now provides sustainability managers more flexibility to support multiple authoring formats using Microsoft Word Office 365. Multiuser collaboration, easy navigation, and rich text support create a cleaner and easier experience. Marginal Abatement Cost Visualizations Net Zero Cloud With marginal abatement cost visualizations, customers can gain insights into required investments for various programs and forecast future emissions based on the cost to offset carbon. Sustainability Program Visualizations Net Zero Cloud Visualize the combined effects of multiple environmental, social, and corporate governance (ESG) initiatives and gain a deeper understanding into different ESG projects and specific metrics within these projects. Improved Emissions Factors Management Net Zero Cloud Automatically integrate emissions factors from Net Zero Marketplace into Net Zero Cloud to easily manage and apply the data, for improved transparency and visibility in one location. Stay tuned to Tectonic’s Insights for more details and news from Salesforce. Enhancements to Salesforce Analytics, Data Cloud, Einstein, and Net Zero 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 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 Logo

Spring ’24 Enhancements for Salesforce Sales Cloud and Service Cloud

Enhancements for Salesforce Sales Cloud and Service Cloud in Spring ’24 release. Einstein Copilot Sales Actions Sales Cloud Introducing our conversational AI assistant for sales. Empower sellers to be more productive at every step of the sales cycle as they research customers and prospects, follow up after meetings, and keep the CRM current. Call Exploration Sales Cloud Analyze sales conversations with generative call exploration. The conversational interface helps you quickly understand more about a sales call and how to follow-up and move the deal along. Forecast Groups Sales Cloud Group forecasts to align with selling motions or business segments. With a single view, see total attainment across the business and sales organization to drive forecast accuracy. Seller Home Sales Cloud Allow a sales team to see their most important customer data in one place. Keep sales teams informed of their real-time contributions to the business, setting their own individual weekly goals and identifying where to accelerate connecting with their customers. Maps Lite Sales Cloud Visualize up to 50 accounts, contacts, or leads within your CRM with Maps Lite, now available in Sales Cloud Unlimited. You no longer need to manually look up where your customers are located before planning out events and focusing campaigns. Enablement for Partners Sales Cloud Onboard partners faster and help them gain relevant product knowledge with outcome-based enablement. Tie partner activities to performance and metrics within the Salesforce PRM (partner relationship management) experience. Build and implement partner enablement programs that motivate and engage them to learn as they generate revenue and move business. Search Answers Service Cloud Deflect more cases by surfacing answers to agents’ and customers’ questions directly in the Community Portal or Agent Console using generative AI. Rather than combing through multiple, lengthy knowledge articles, get precise answers grounded in trusted knowledge articles with Search Answers. We provide citations for the answers that Einstein generates. Service Cloud Einstein: Knowledge Enhancements Service Cloud Use generative AI to quickly draft knowledge articles based on case data, saving agents time. Once the knowledge article is drafted, it goes through a standard review and approval process to ensure accuracy and relevance, which helps formalize institutional knowledge. Service Intelligence Enhancements Service Cloud Allow agents to proactively take action with out-of-the-box Customer Effort Score and an AI-model for Propensity to Escalate. Meanwhile, Feature Management makes it easy to identify which knowledge articles deliver value and drive efficiency. Unified Messaging for WhatsApp Service Cloud Turn one-way marketing promotional messages into two-way service conversations within the same WhatsApp thread for better engagement, higher conversions, and faster resolutions. Meet your customers where they are–and go from “do not reply” to “please reply.” Document Builder Service Cloud Create impactful, tailored service documents with Document Builder, which adapts to various use cases like service reports, asset certificates, and quotes. User-friendly and loaded with Lightning web components, Document Builder lets you embed images, customize content, and go global with language localization. Tailor your documents to match your workflow, from one asset to many, and speak your customers’ language effortlessly. Stay tuned to Tectonic’s Insights for more details and news from Salesforce. Enhancements for Salesforce Sales Cloud and Service Cloud in Spring ’24. 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 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 Salesforce’s Quest for AI for the Masses The software engine, Optimus Prime (not to be confused with the Autobot leader), originated in a basement beneath a West Read more

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Unfolding AI Revolution

Unfolding AI Revolution

Ways the AI Revolution is Unfolding The transformative potential of artificial intelligence (AI) is being explored by James Manyika, Senior VP of Research, Technology, and Society at Google, and Michael Spence, Nobel laureate in economics and professor at NYU Stern School of Business, in their recent article, “The Coming AI Economic Revolution: Can Artificial Intelligence Reverse the Productivity Slowdown?” Published in Foreign Affairs, the article outlines the conditions necessary for an AI-powered economy to thrive, including policies that augment human capabilities, promote widespread adoption, and foster organizational innovation. Manyika and Spence highlight AI’s potential to reverse stagnating productivity growth in advanced economies, stating, “By the beginning of the next decade, the shift to AI could become a leading driver of global prosperity.” However, the authors caution that this economic revolution will require robust policy frameworks to prevent harm and unlock AI’s full potential. Here are the key insights from their analysis: 1. The Great Slowdown The rapid advancements in AI arrive at a critical juncture for the global economy. While technological innovations have surged, productivity growth has stagnated. For instance, total factor productivity (TFP), a key contributor to GDP growth, grew by 1.7% in the U.S. between 1997 and 2005 but has since slowed to just 0.4%. This slowdown is exacerbated by aging populations and shrinking labor forces in major economies like China, Japan, and Italy. Without a transformative force like AI, economic growth could remain stifled, characterized by higher inflation, reduced labor supply, and elevated capital costs. 2. A Different Digital Revolution Unlike the rule-based automation of the 1990s digital revolution, AI has shattered previous technological constraints. Advances in AI now enable tasks that were previously unprogrammable, such as pattern recognition and decision-making. AI systems have surpassed human performance in areas like image recognition, cancer detection, and even strategic games like Go. This shift extends the impact of technology to domains previously thought to require exclusively human intuition and creativity. 3. Quick Studies Generative AI, particularly large language models (LLMs), offers exceptional versatility, multimodality, and accessibility, making its economic impact potentially transformative: Applications range from digital assistants drafting documents to ambient intelligence systems that automate homes or generate health records based on patient-clinician interactions. 4. Creative Instruction Despite its promise, AI has drawn criticism for issues like bias, misinformation, and the potential for job displacement. Critics highlight that AI systems may amplify societal inequities or produce unreliable outputs. However, research suggests that AI will primarily augment work rather than eliminate it. While about 10% of jobs may decline, two-thirds of occupations will likely see AI enhancing specific tasks. This shift emphasizes collaboration between humans and intelligent machines, requiring workers to develop new skills. Studies, such as MIT’s Work of the Future task force, reinforce that automation will not lead to a jobless future but rather to evolving roles and opportunities. 5. With Us, Not Against Us The full benefits of AI will not materialize if its deployment is left solely to market forces. Proactive measures are necessary to maximize AI’s positive impact while mitigating risks. This includes fostering widespread adoption of AI in ways that empower workers, enhance productivity, and address societal challenges. Policies should prioritize accessibility and equitable diffusion to ensure AI serves as a force for inclusive economic growth. 6. The Real AI Challenge Generative AI has the potential to spark a productivity renaissance at a time when the global economy urgently needs it. Yet, Manyika and Spence caution that AI could exacerbate existing economic disparities if not guided effectively. They argue that focusing solely on existential threats overlooks the broader risks posed by inequitable AI deployment. Instead, a positive vision is needed—one that prioritizes AI as a tool for global economic progress, equitable growth, and generational prosperity. “Harnessing the power of AI for good will require more than simply focusing on potential damage,” the authors conclude. “It will demand effective measures to turn that vision into reality.” The unfolding AI revolution offers immense opportunities, but realizing its full potential requires thoughtful action. By addressing risks and fostering innovation, AI could reshape the global economy for the better. 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 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 Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

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