Software Archives - gettectonic.com

30Mar

AI Then and Now

AI: Transforming User Interactions and Experiences Have you ever been greeted by a waitress who already knows your breakfast order? It’s a relief not to detail every aspect — temperature, how do you want your eggs, what kind of juice, bacon or sausage, etc. This example encapsulates the journey we’re navigating with AI today. AI Then and Now. This article isn’t about ordering breakfast; it’s about the evolution of user interactions, particularly how generative AI might evolve based on past trends in graphical user interfaces (GUIs) and emerging trends in AI interactions. We’ll explore the significance of context bundling, user curation, trust, and ecosystems as key trends in AI user experience in this Tectonic insight. From Commands to Conversations Let’s rewind to the early days of computing when users had to type precise commands in a Command-Line Interface (CLI). Imagine the challenge of remembering the exact command to open a file or copy data. This complexity meant that only a few people could use computers effectively. To reach a broader audience, a shift was necessary. You might think Apple’s creation of the mouse and drop down menues was the pinnacle of success, but truly the evolution predates Apple. Enter ELIZA in 1964, an early natural language processing program that engaged users in basic conversations through keyword recognition and scripted responses. Although groundbreaking, ELIZA’s interactions were far from flexible or scalable. Around the same time, Xerox PARC was developing the Graphical User Interface (GUI), later popularized by Apple in 1984 and Microsoft shortly thereafter. GUIs transformed computing by replacing complex commands with icons, menus, and windows navigable by a mouse. This innovation made computers accessible and intuitive for everyday tasks, laying the groundwork for technology’s universal role in our lives. Not only did it make computing accessible to the masses but it layed the foundation upon which every household would soon have one or more computers! The Evolution of AI Interfaces Just as early computing transitioned from the complexity of CLI to the simplicity of GUIs, we’re witnessing a parallel evolution in generative AI. User prompts are essentially mini-programs crafted in natural language, with the quality of outcomes depending on our prompt engineering skills. We are moving towards bundling complex inputs into simpler, more user-friendly interfaces with the complexity hidden in the background. Context Bundling Context bundling simplifies interactions by combining related information into a single command. This addresses the challenge of conveying complex instructions to achieve desired outcomes, enhancing efficiency and output quality by aligning user intent and machine understanding in one go. We’ve seen context bundling emerge across generative AI tools. For instance, sample prompts in Edge, Google Chrome’s tab manager, and trigger-words in Stable Diffusion fine-tune AI outputs. Context bundling isn’t always about conversation; it’s about achieving user goals efficiently without lengthy interactions. Context bundling is the difference in ordering the eggs versus telling the cook how to crack and prepare it. User Curation Despite advancements, there remains a spectrum of needs where users must refine outputs to achieve specific goals. This is especially true for tasks like researching, brainstorming, creating content, refining images, or editing. As context windows and multi-modal capabilities expand, guiding users through complexity becomes even more crucial. Humans constantly curate their experiences, whether by highlighting text in a book or picking out keywords in a conversation. Similarly, users interacting with ChatGPT often highlight relevant information to guide their next steps. By making it easier for users to curate and refine their outputs, AI tools can offer higher-quality results and enrich user experiences. User creation takes ordering breakfast from a manual conversational process to the click of a button on a vending-like system. Designing for Trust Trust is a significant barrier to the widespread adoption of generative AI. To build trust, we need to consider factors such as previous experiences, risk tolerance, interaction consistency, and social context. Without trust, in AI or your breakfast order, it becomes easier just to do it yourself. Trust is broken if the waitress brings you the wrong items, or if the artificial intelligence fails to meet your reasonable expectations. Context Ecosystems Generative AI has revolutionized productivity by lowering the barrier for users to start tasks, mirroring the benefits and journey of the GUI. However, modern UX has evolved beyond simple interfaces. The future of generative AI lies in creating ecosystems where AI tools collaborate with users in a seamless workflow. We see emergent examples like Edge, Chrome, and Pixel Assistant integrating AI functionality into their software. This integration goes beyond conversational windows, making AI aware of the software context and enhancing productivity. The Future of AI Interaction Generative AI will likely evolve to become a collaborator in our daily tasks. Tools like Grammarly and Github Copilot already show how AI can assist users in creating and refining content. As our comfort with AI grows, we may see generative AI managing both digital and physical aspects of our lives, augmenting reality and redefining productivity. The evolution of generative AI interactions is repeating the history of human-computer interaction. By creating better experiences that bundle context into simpler interactions, empower user curation, and augment known ecosystems, we can make generative AI more trustworthy, accessible, usable, and beneficial for everyone. 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

March 30, 2024in AI Tools, Artificial Intelligence, Data, Generative AI, Google, Salesforce, Salesforce Einstein, Technology

27Mar

Einstein Copilot – A Valued Team Member

What Can Salesforce Einstein Copilot AI Really Do? Einstein Copilot – A Valued Team Member To find out, let’s virtually attend a live demo of the service March 2024. The short answer to the question is “whatever your business needs,” but with a common caveat in AI demos: beware of hallucinations. Keeping Data SafeLet’s rewind a bit. Back in September, Salesforce unveiled Einstein Copilot at Dreamforce, emphasizing customer data safety as a key selling point. Salesforce CEO Marc Benioff stated, “Your data isn’t our product.” Then, in February, the product entered public beta. Salesforce re-emphasized that the Einstein Trust Layer, designed to protect customer data, was a critical reason why customers could trust the responses and actions of Salesforce Einstein Copilot. At the demo safety was again a primary focus. Salesforce Product Management leads Gary Brandeleer and Jaswinder Rattanpal highlighted that Einstein is designed to differentiate between sensitive and non-sensitive data and to verify if the end-user has appropriate access rights for their query. These measures prevent leaks of confidential information and also minimize the impact of any potential “hallucinations” by compartmentalizing data. Rattanpal offered a word of caution: “While we have these amazing tools, be careful because we are not at a stage when they can be 100% trusted. Always have a human in the loop, especially when dealing with information that may become public.” Maximizing EfficiencySalesforce’s emphasis on data safety is wise, and its more than 150,000 customers worldwide will appreciate it. However, the real appeal of Einstein Copilot lies in the efficiency it offers. This efficiency stems from two key principles that drive Salesforce’s approach to AI. The first principle is that AI copilots fundamentally change how humans interact with software. Instead of navigating through clicks and menus, users can ask questions and receive answers directly, making software interaction more conversational. This shift can potentially transform software development and reduce the time required to complete tasks, particularly in sales, marketing, and customer service. Users can access Einstein across Salesforce’s interface. One click launches the assistant, which can execute tasks while the user attends to other duties. This reduces the time spent sifting through information to find answers. During the demo, Rattanpal showcased how Einstein could summarize an account’s financial history and populate different fields with data from a single prompt. Customization and AvailabilityThe second principle is the mix of customization and availability. Salesforce aims to allow users to deploy Einstein Copilot across any desired modules and to customize these deployments to suit each customer’s specific needs. Recognizing that its vast customer base has diverse requirements, Salesforce makes Einstein flexible yet grounded in a safety-first approach. Admins can customize Einstein using Copilot Builder, Prompt Builder, and Model Builder, each offering different levels of customization. Standard actions, like “write an email,” require minimal development, while custom actions typically involve more intricate setups. More Than a Copilot: A CoworkerThese capabilities often make Einstein feel more like a valued team member than a mere copilot. During the demo, Brandeleer showed how Einstein could determine whether a sales opportunity was worth pursuing—a subjective query that Einstein backed with a dozen data-driven reasons. This level of analysis, which would take a human hours or days to compile, underscores Einstein’s potential to exceed human efficiency and objectivity. When an AI can provide better answers to subjective questions than a human, it transcends being a simple tool. If it can effectively manage hallucinations, the question becomes: what can’t Einstein do? Salesforce Einstein Copilot stands out not only for its robust data safety measures but also for the significant efficiency and customization it offers. With its advanced capabilities, Einstein has the potential to revolutionize how businesses handle routine and complex tasks, making it an invaluable asset for any organization. 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

March 27, 2024in Einstein 1 Platform, Salesforce

20Mar

Technology for a Human-Centric Impact: Introducing the New Nonprofit Cloud

In times of disaster or need, it’s not technology that distributes supplies or ensures access to fundamental rights—it’s people. Nonprofits, whether large or small, work alongside individuals, partner organizations, government agencies, healthcare providers, volunteers, and staff to drive community and planetary improvements. From large-scale disaster responses to community food drives, real change and impact come from collaborative efforts, not isolated actions. Introducing the New Nonprofit Cloud for today’s NGOs. Salesforce’s vision for nonprofits has always been to empower impact makers with the best technology. Technology should be a critical enabler that brings people and organizations together, scaling those moments of impact. Breaking Down Barriers for Greater Impact Salesforce aims to simplify operations for the nonprofit sector by breaking down information silos within organizations and among local or global partners. Achieving greater impact collectively requires collaboration with stakeholders, information sharing, and effective data utilization. Salesforce collaborated with partners and nonprofit peers to address four key priorities: Introducing the New Nonprofit Cloud With these priorities in mind, Salesforce has announced a new vision for Nonprofit Cloud—a suite of nonprofit technology solutions built specifically for the sector. For the first time, instead of layering nonprofit applications on top of the platform, Salesforce is building directly into the core, unlocking innovation across all Salesforce industries. The new Nonprofit Cloud aims to address all goals in a single solution. For over two decades, Salesforce has worked with its community and partner ecosystem to deliver purpose-built packages on top of the Salesforce platform. Together, they have built more than 14 software packages, anchored by the Nonprofit Success Pack (NPSP), which is used by thousands of organizations. Salesforce will continue to support existing offerings like NPSP, Nonprofit Cloud Case Management, the Program Management Module, and more. Today, we have the thrill of Introducing the New Nonprofit Cloud However, Salesforce is now offering a new solution to nonprofit organizations with reimagined program management, case management, outcomes, marketing engagement, and fundraising in one package. The next generation of Nonprofit Cloud, available today, focuses on delivering programs and case management, leveraging the full power of the Salesforce platform. Fundraising and outcomes will be integrated into this solution later this year. Faster and Easier Access to Nonprofit Technology Supporters measure organizations by their impact, and the goal is to focus on driving that impact, not piecing together data from different systems. This new approach provides a faster and more unified way to drive impact by consolidating stakeholder experiences from across organizations and partners. The new Nonprofit Cloud unifies programs, fundraising, engagement, and outcomes, giving easier and faster access to innovations from across all of Salesforce. This connection to Salesforce’s portfolio of best-in-class solutions enhances the ability to make data-driven decisions swiftly, focusing on what works and where changes are needed. Greater Cross-Sector Impact – Introducing the New Nonprofit Cloud The new Nonprofit Cloud is designed for whole-person care. By building Nonprofit Cloud directly into the Salesforce platform, it’s easier to adopt technology used in other industries, such as Health & Life Sciences and the Public Sector. This integration reflects how jobs are actually done—working with program participants, their families, governments, healthcare organizations, and other nonprofits to ensure everyone achieves their goals. This fosters better cross-sector engagement and impact for all served. Impact is Driven by Everyone Behind every relationship, person, or program is data. When these data points are combined, they can be learned from, validated, and traced throughout the process. With the reimagined Nonprofit Cloud, Salesforce is building every component with outcomes in mind, partnering with the customer community to determine critical data to capture. This simplifies outcome measurement, reduces the need for heavy customization, and standardizes the process. Introducing the New Nonprofit Cloud Starting with programs and case management, available today, Salesforce will soon add outcomes, engagement, and fundraising, connecting them to all future innovations. The Power of Us Program Salesforce remains committed to giving 1% of equity, product, and employee time back to its communities through the Power of Us program, which grants qualified nonprofit and educational organizations 10 free technology licenses. The new Nonprofit Cloud innovation will be included. Salesforce will also continue to support existing licenses and paid nonprofit offerings, including the Nonprofit Success Pack (NPSP). This new approach for the nonprofit sector has been successfully used by other industries within Salesforce for years. Salesforce is dedicated to continuing investment in best-in-class nonprofit technology to help achieve significant and lasting impact. Connect with Salesforce Ready to implement Salesforce Nonprofit Cloud to streamline operations and amplify impact? Connect with Salesforce experts for more information. 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

March 20, 2024in Salesforce Nonprofit Cloud

16Mar

AI Success is a Team Sport

The contemporary workplace is currently experiencing a profound transformation. The Future of Jobs Report from the World Economic Forum predicts that AI will replace approximately 85 million jobs by 2025, while concurrently generating around 97 million AI-related jobs. AI Success is a Team Sport and will require hiring and training people. This significant shift necessitates a reevaluation of work dynamics, introducing new roles that involve collaboration between “humans, machines, and algorithms.” Amidst this transformative period, AI provides opportunities for organizations to reimagine existing roles, offer upskilling opportunities, and design innovative positions to meet evolving needs. For leaders in the data domain, the crucial task is to assess which jobs could benefit from AI. This requires a thorough understanding of organizational tasks, skills, and strategic goals, complemented by a scalable change management process to accommodate the growth of AI initiatives. To pinpoint relevant jobs, the following steps can be taken: Despite 67% of global business leaders considering the use of generative AI, an equal number of IT leaders acknowledge a skills gap among their employees. “I think most business leaders have a good sense of what the key jobs are inside their organizations. Of those key jobs, what are the good candidates for AI? I think it’s important for any executive—data or not—to understand what they are and plan accordingly.” SOLOMON KAHN DATA LEADERSHIP COLLABORATIVE The implementation of AI necessitates a specialized team, encompassing roles from project managers to domain experts. The composition of the team depends on the project’s complexity, scope, budget, and overall strategic objectives. But to be sure, AI Success is a Team Sport. Key roles for AI initiatives include: AI acts as a disruptor to traditional business practices, and this disruption is viewed positively. The bonuses far outweigh the challenges. The new generation of user-friendly AI technologies, such as generative AI, has moved beyond the hype cycle, offering applications that generate personalized offers and automated chatbots capable of solving complex customer support issues. In this era powered by AI, data leaders play a pivotal role in driving transformative change. 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

March 16, 2024in Salesforce Einstein

11Mar

Customized Conversational AI Assistant

Create and Customize a Conversational AI Assistant for CRM Einstein Copilot is your all-in-one CRM AI assistant, seamlessly integrated into every Salesforce application. It empowers teams to accelerate tasks with intelligent actions, deploy conversational AI with built-in trust, and easily scale a unified copilot across your organization. Customized Conversational AI Assistant. Einstein 1 Studio Customize and Enhance AI for CRM:Einstein 1 Studio allows you to tailor Einstein Copilot to your specific business needs. Configure actions, prompts, and models to create a personalized AI experience. Users can interact with the AI using natural language, making task execution more intuitive and efficient. Copilot Builder Expand Einstein Copilot with Advanced Features:Enhance Einstein Copilot by integrating actions with familiar Salesforce platform features like Flows, Apex code, and Mulesoft APIs. Convert workflows into copilot actions and test these interactions within a user-friendly interface, enabling you to monitor and refine your copilot’s performance. Prompt Builder Accelerate Employee Task Completion:Design prompt templates that quickly summarize and generate content, helping employees complete tasks faster. Create prompts that draw from CRM data, Data Cloud, and external sources to make every business task more relevant. Develop prompts once and deploy them across Einstein Copilot, Lightning pages, and flows. Model Builder Integrate and Manage AI Models:Incorporate your predictive AI models and large language models (LLMs) within Salesforce through the Einstein Trust Layer. Utilize no-code ML models in Data Cloud, and manage all your AI models from a centralized control platform, ensuring seamless operation and integration. Deploy Trustworthy AI Leverage Generative AI with Built-In Safeguards:Einstein Copilot is designed to ensure the privacy and security of your data, while improving result accuracy and promoting responsible AI use across your organization. Built directly into the Salesforce Platform, the Einstein Trust Layer offers top-tier features and safeguards to ensure your AI deployments are trustworthy. “The combination of AI, data, and CRM allows us to help busy parents solve the ‘what’s for dinner’ dilemma with personalized recipe recommendations their family will love.”— Heather Conneran, Director, Brand Experience Platforms, General Mills 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

March 11, 2024in Data, Generative AI, Mulesoft, Salesforce

23Feb

Virtual Event Management Plan

Have You Recently Attended an Information-Packed Webinar? Think back to your experience: from how you first learned about the event to its promotion and eventual execution. It might seem like organizing a webinar is straightforward, but… Virtual event management requires meticulous planning, from the initial concept and promotion to post-event tasks. Read on to discover how you can plan your online events in Salesforce with ease and what you’ll need for success. What is Virtual Event Management Plan in Salesforce? Virtual event management encompasses all the activities needed to ensure your online event runs smoothly. It’s how you prepare to share your insights—or those of other experts—virtually. Why plan your events in Salesforce? All your data stays integrated within your CRM, allowing you to manage every aspect of your event, from registration and ticketing to marketing and attendee engagement, without the hassle of multiple tools or disorganized planning. Types of Virtual Event Management Plans in Salesforce Choosing the right virtual event format can be overwhelming, but here are some common options: How to Plan Virtual Events in Salesforce: A 4-Step Guide 1. Create a Virtual Event Concept When planning a virtual event, don’t treat it like an in-person one. Virtual events require their own set of strategies. Start by answering these questions: Remember, seasonal holidays or other events can impact attendance. Avoid scheduling events during low-attendance periods, like the summer or late December. 2. Select an Event Management Tool You need the right technology to manage online events effectively. Salesforce offers robust functionality for this. When selecting a tool for Salesforce event management, look for these features: 3. Outline Content and Strategy Crafting a virtual event that resonates with your audience requires more than just setting a date and topic. You need a compelling content strategy. Here’s how to make it work: 4. Design an Event Microsite Like in-person events, virtual ones benefit from a dedicated event page or microsite. On your Salesforce Experience Cloud site, you can: The Ultimate Virtual Events Checklist Final Thoughts Virtual event management isn’t daunting if approached wisely. With a clear plan, engaging content, and the right tools, success is within reach. Follow these steps, and your next virtual event will be a breeze. 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

February 23, 2024in Data, Enterprise, Marketing Automation, Salesforce, Salesforce Experience Cloud, Technology

13Feb

What is GovSlack?

GovSlack: Streamlined, Secure Collaboration for Government GovSlack brings together your team, tools, and partners into one secure platform, specifically designed to meet government regulations for processing and storing sensitive data. By integrating GovSlack, organizations can eliminate internal and external communication silos while empowering employees with the flexibility to excel in their roles. What is GovSlack?GovSlack is a tailored version of Slack that allows agencies, contractors, citizens, and partners to collaborate in a centralized, secure workspace. It complies with the strictest security and operational standards required by public sector clients. Is Slack FedRAMP approved?Yes, Slack holds FedRAMP Moderate authorization to meet public sector compliance needs. GovSlack goes further, earning FedRAMP JAB High authorization and is actively pursuing DoD CC SRG IL4 compliance to cater to defense sector clients. Does the federal government use Slack?Security is crucial for public sector agencies and their partners. Federal agencies trust Slack as their secure digital HQ, helping teams from the U.S. Department of Veterans Affairs to the GSA’s 18F office enhance collaboration while meeting stringent data privacy requirements. GovSlack Key FeaturesGovSlack, launched in July 2022 after extensive testing and feedback from government clients, offers several features to ensure secure and compliant collaboration: GovSlack integrates seamlessly with other government-specific tools such as Salesforce Government Cloud Plus, creating a powerful CRM and collaboration ecosystem to accelerate agency goals and improve constituent services. Case Study: Army Software Factory (SWF)The Army SWF, using agile methods to upskill soldiers and develop cutting-edge digital solutions, required a flexible and secure collaboration platform. By adopting GovSlack, they fostered improved collaboration without compromising compliance with stringent DoD policies. Partner IntegrationsLeading companies such as Lockheed Martin and Box are leveraging GovSlack to streamline collaboration while maintaining compliance with federal regulations. For example, Lockheed Martin is using GovSlack to manage projects with government partners while ensuring sensitive data remains protected. ThoughtsGovSlack is built for secure, government-specific collaboration, providing agencies and their partners with the flexibility to work more effectively while meeting compliance needs. By integrating with key tools and offering enhanced security features, GovSlack supports the digital transformation efforts of public sector organizations across the globe. 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

February 13, 2024in Data, Enterprise, Hyperforce, Salesforce Government Cloud, Salesforce Optimization, Salesforce Public Sector Solutions, Salesforce Slack

Generative AI Prompts with Retrieval Augmented Generation

11Feb

Generative AI Cheat Sheets

Wanted to utilize this insight to share a link to some incredible AI cheat sheets compiled by Medium. Generative AI Cheat Sheets. Top 8 Cheat Sheets on AI Whether you need assistance building a Powerpoint Presentation, AI for enterprise, machine learning, podcast enhancement tools, large language models, efficient ChatGPT prompts, efficient use of emojis, journeys, or more. This list is pretty inclusive. Tectonic would like to share one additional tool we have been using internally. Fireflies. Firflies helps teams transcribe, summarize, search, and analyze voice conversations. When ChatGPT made its debut in late 2022, it sparked global recognition of the transformative capabilities of artificial intelligence (AI). This groundbreaking chatbot represents one of the most significant advancements in AI history. Unlike traditional AI systems that analyze or categorize existing data, generative AI has the remarkable ability to create entirely new content, spanning text, images, audio, synthetic data, and more. This innovation is poised to revolutionize human creativity and productivity across industries, including business, science, and society as a whole. From ChatGPT to DALL-E, the latest wave of generative AI applications has emerged from foundation models, sophisticated machine learning systems trained on massive datasets encompassing text, images, audio, or a combination of these data types. Recent advancements now enable companies to develop specialized models for image and language generation based on these foundation models, most of which are large language models (LLMs) trained on natural language. The power of these models lies not only in their scale but also in their adaptability to diverse tasks without the need for task-specific training. Techniques like zero-shot learning and in-context learning allow models to make predictions and generate responses even in domains they haven’t been explicitly trained on. As a result, companies can leverage these models to address a wide range of challenges, from customer service automation to product design. The introduction of pre-trained foundation models with unprecedented adaptability is expected to have profound implications. According to Accenture’s 2023 Technology Vision report, 97% of global executives believe that foundation models will revolutionize how and where AI is applied, enabling seamless connections across different data types. To thrive in this evolving landscape, businesses must leverage the full potential of generative AI. To expedite implementation, organizations can readily access foundation models through APIs. However, customization and fine-tuning are necessary to tailor these models to specific use cases and maximize their effectiveness. By harnessing generative AI, companies can enhance efficiency, drive innovation, and gain a competitive edge in the market. As generative AI continues to evolve, its impact will only multiply. Companies will increasingly rely on these technologies to streamline workflows, optimize processes, and unlock new opportunities for growth and innovation. With the global AI market projected to reach nearly trillion by 2030, the future holds immense potential for companies to leverage generative AI in solving complex problems and driving transformative change. Generative AI encompasses various machine learning techniques, including transformer models, generative adversarial networks (GANs), and variational autoencoders (VAEs). These technologies underpin a wide range of applications, from natural language processing to image generation, enabling businesses to approach tasks in innovative ways. While generative AI presents unprecedented opportunities, it also raises ethical and security concerns. It is essential for companies to adopt responsible AI practices and ensure the safe and ethical use of these technologies. By embracing generative AI and investing in the necessary infrastructure and talent, businesses can unlock its full potential and drive sustainable growth in the digital era. 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

February 11, 2024in Generative AI, Salesforce

08Feb

Salesforce for Charities

Salesforce Nonprofit Cloud serves as a comprehensive solution encompassing fundraising, program management, grant management, marketing, and donor management for nonprofit organizations. Salesforce for Charities enables the measurement, tracking, and updating of data across all facets of nonprofit operations and management. Within the charity and nonprofit sector, Salesforce Nonprofit Cloud is highly favored, boasting a clientele of over 50,000 organizations in more than 80 countries—a number that continues to grow. Notably, numerous international charities prefer Salesforce, leading to the establishment of a dedicated business unit tailored specifically for the nonprofit sector. Choosing Salesforce for reporting proves to be an excellent decision for nonprofits due to its recognized accuracy and reliability. The software plays a crucial role in facilitating efficient data management and insights, allowing nonprofits to scale effectively and fulfill their missions. Charities leverage Salesforce Nonprofit Cloud for various purposes, including tracking donations and fundraising campaigns. The CRM software generates reports and analytics, offering insights into the success of these efforts and pinpointing areas for improvement. Overall, Salesforce provides a robust foundation for nonprofits to create efficiency with data, gain valuable insights, and successfully scale their operations to deliver on their mission. Ready for success now? Empower your teams to be more effective, productive, and impactful with Salesforce for Nonprofits. By Tectonic’s Salesforce Marketing Consultant, Shannan Hearne 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

February 8, 2024in Salesforce, Salesforce Development Services, Salesforce for Nonprofits, Salesforce Nonprofit Cloud

07Feb

Healthcare Cloud Marketplace

Healthcare Cloud Computing Market: A Comprehensive Overview and Future Outlook Vantage Market Research Report: Insights into Healthcare Cloud Computing by 2030 WASHINGTON, D.C., February 6, 2024 /EINPresswire.com/ — The global Healthcare Cloud Marketplace was valued at USD 38.25 billion in 2022 and is projected to grow at a compound annual growth rate (CAGR) of 18.2% from 2023 to 2030, reaching approximately USD 145.86 billion by 2030, according to Vantage Market Research. This technology allows healthcare organizations to utilize cloud-based services for data storage, management, and analysis, providing numerous benefits such as cost efficiency, scalability, flexibility, security, and interoperability. It enhances healthcare delivery by enabling seamless data access and sharing across various locations, devices, and networks. Additionally, cloud computing supports the integration of advanced technologies like artificial intelligence, big data analytics, telehealth, and mobile health, driving progress in disease diagnosis, treatment, and prevention. Market Dynamics The market’s growth is fueled by several key factors, including the increasing demand for healthcare IT solutions, the rising prevalence of chronic diseases, the widespread adoption of electronic health records (EHRs), and evolving payment models and regulatory frameworks. The exponential increase in healthcare data, encompassing patient records, imaging scans, and research findings, necessitates scalable storage and analysis solutions. Cloud computing meets this need by providing flexible and scalable infrastructure, accommodating data growth without overburdening IT systems. The rise of telehealth and remote patient monitoring further boosts the demand for secure, cloud-based platforms that facilitate efficient data exchange. However, stringent data privacy regulations like HIPAA and GDPR require robust security measures, compelling healthcare organizations to seek cloud providers that offer strong compliance and access controls. This need for a balance between agility and security shapes the healthcare cloud computing market’s future trajectory. Leading Companies in the Global Healthcare Cloud Computing Market Market Segmentation By Product: By Deployment: By Component: By Pricing Model: By Service Model: Key Trends and Opportunities The healthcare cloud computing market is witnessing significant trends, including the adoption of hybrid and multi-cloud models, which combine the benefits of both public and private clouds. The integration of artificial intelligence (AI) and machine learning (ML) into cloud-based healthcare applications is opening new avenues for personalized medicine, clinical decision support, and drug discovery. Moreover, blockchain technology is emerging as a solution to enhance data security and patient privacy, addressing critical industry concerns. Key Findings: Opportunities: Healthcare Cloud Marketplace The healthcare cloud computing market is poised for robust growth, driven by the increasing demand for scalable and secure data management solutions. As healthcare organizations navigate challenges related to data privacy and security, robust cloud solutions and supportive government policies will be essential in unlocking the full potential of cloud computing in healthcare. 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

February 7, 2024in Salesforce

07Feb

AI Adoption Not Even Across the Board

Reflecting on AI’s potential and its challenges, McElheran calls for a balanced approach: “To fully harness AI’s benefits, we need a realistic, evidence-based approach that accounts for both the advantages and the societal costs associated with adoption.”

February 7, 2024in Data, Technology

02Feb

Salesforce and Zapier and Anything You Can Imagine

Zapier enables you to connect Salesforce with thousands of the most popular third-party apps, so you can automate your work and have more time for what matters most—no code required. Providing easy automation for busy Salesforce users. Zapier transfers info between your web apps automatically, so you can focus on your most important work. Zapier is “middleware” that sits between two other services. It allows software services to create Triggers and Actions. Each combination of a Trigger and an Action is called a Zap. Triggers are how your app’s users can start automated workflows whenever an item is added or updated in your app. There are two types of triggers in Zapier: Actions are how your app’s use the data. The action is the effect of the cause (trigger). What is the difference between actions and triggers in Zapier? Every Zap starts with a single trigger that watches for new or updated data, starting the user’s workflow. Action steps then make use of that data. Zapier actions create or update a single item in your app through API calls that include multiple details from user customized input fields. Is Zapier considered an API? Yes, Zapier is an API tool. Zapier is a web-based automation tool that allows you to connect and automate different web services and applications without the need for any coding. It uses APIs (Application Programming Interfaces) to communicate with the different services and applications that it connects to. About AI by Zapier Smart task and text handling powered by a flexible AI. Create text prompts to perform standard tasks like extracting lead (or other) data or answering discrete questions like “where should this message be routed?”. Or, create your own! What coding language does Zapier use? Zapier is a monolithic application built on Python and Django. There’s a lot of momentum with Python and it is very difficult changing course to another programming language while the service is running. Why is Zapier so popular? Zapier is a powerful tool for automating workflows and combining different business applications without requiring any additional coding skills. Is Zapier actually useful? Users have found that Zapier is a versatile automation tool that simplifies complex problems and enhances efficiency in various industries. With its easy-to-use interface, users can create automation workflows and connect different apps and platforms seamlessly. Around the world in 2024, over 9973 companies have started using Zapier as Integration tool. Netflix, Inc. PayPal Holdings, Inc. Trimble, Inc. If you need assistance connecting apps to Salesforce with Zapier, contact Tectonic today. 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

February 2, 2024in Salesforce

30Jan

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 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

January 30, 2024in Salesforce Einstein

27Jan

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 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

January 27, 2024in Generative AI, Salesforce Einstein

15Jan

How to Implement AI for Business Transformation

Harnessing the Power of AI for Business Transformation The age of artificial intelligence (AI) is here. How to Implement AI for Business Transformation? Once a niche technology confined to research labs and the realm of science fiction, AI has now become a mainstream force. Today, an estimated 35% of businesses are leveraging AI to enhance products, boost efficiency, and gain a competitive edge. However, for companies yet to begin their AI journey, the path to implementation can seem daunting. So how can organizations navigate the complexities of AI and unlock its potential to drive success? This comprehensive guide is designed to empower businesses to confidently adopt AI. We’ll break down what AI is, assess your organization’s readiness, help you develop a robust AI strategy, and explore how to implement and integrate AI across operations. Ultimately, this insight will show you how to embrace AI for continuous innovation, helping automate tasks, uncover insights, and future-proof your business. AI Era Demands an Intelligent Data Infrastructure AI consulting services and digital transformation partners like Tectonic underscore the technology’s immense value, helping organizations evaluate, implement, and scale AI initiatives. However, knowing where to start and who to trust can be challenging. This guide will provide best practices for planning and executing AI projects, helping you make informed decisions when selecting solutions and partners. By the end, your organization will be equipped with the knowledge and confidence needed to make AI a powerful competitive advantage. Understanding the AI Landscape Before diving into AI implementation, it’s important to understand what artificial intelligence is and the wide array of applications it offers. What is Artificial Intelligence? Artificial intelligence (AI) refers to software and machines designed to perform tasks that typically require human intelligence—such as visual perception, speech recognition, decision-making, and language translation. AI is already deeply integrated into many everyday products and services, including: Machine Learning Basics At the core of most AI systems is machine learning (ML), which involves training algorithms on vast datasets, enabling them to learn from examples without being explicitly programmed for every scenario. There are three main types of machine learning: Beyond ML, fields like natural language processing (NLP) focus on understanding human language, while computer vision analyzes visual content such as images and video. Real-World AI Applications Understanding the fundamentals of AI helps organizations align their needs with its capabilities. Common business use cases for AI include: Armed with this knowledge, businesses can better evaluate how AI fits into their goals and operations. Developing a Comprehensive AI Strategy Once you understand the AI landscape, the next step is developing a strategic plan to guide implementation. Establishing an AI Vision and Objectives AI adoption must align with clear financial and operational goals. Leadership teams should identify: Aligning stakeholders and executive leaders around specific use cases will drive urgency, investment, and commitment. AI Ethics and Governance AI adoption also requires guidelines for ethical usage, transparency, and accountability. Organizations should consider: Establishing these frameworks early ensures responsible and transparent AI usage. Resourcing an AI Program AI implementation requires the right talent and resources. Budget considerations should include: A Phased AI Adoption Roadmap Rather than attempting to scale AI all at once, organizations should adopt a phased approach: This roadmap balances short-term impact with long-term scalability. Choosing the Right AI Implementation Approach With your strategy in place, the next decision is how to implement AI. Three primary approaches are: The choice depends on your organization’s internal capabilities, desired level of customization, and timeline. Integrating AI into Your Operations Successful AI implementation requires careful planning and integration with existing operations. Develop an Integration Plan Consider how AI will interact with existing systems and workflows: Address Security and Privacy Ensure that AI systems comply with data privacy regulations and security protocols, especially when handling sensitive information. Drive Adoption Through Training Help staff understand how AI will augment their roles by providing training on how the algorithms work and how to interact with AI systems effectively. Monitor for Model Decay Implement processes to monitor and retrain models as needed to ensure continued performance and reliability. Embracing AI for Continuous Improvement AI should be viewed as an ongoing investment, driving continuous improvement across the organization. Encourage a Data-Driven Culture Empower teams to identify new AI use cases and experiment with AI-driven solutions. Provide the tools and frameworks to facilitate this culture of innovation. Foster Responsible AI Ensure that AI systems are transparent, accountable, and designed to augment human decision-making responsibly. Commit to Reskilling As AI capabilities evolve, continually upskill employees to ensure your workforce remains at the forefront of technological advancements. Unlocking the Future of AI The potential of AI to revolutionize businesses is clear. However, achieving success requires more than just technical capabilities. It demands thoughtful planning, strategic alignment, and a commitment to continuous improvement. By following this guide, your organization can confidently implement AI to unlock powerful data-driven insights, automate tasks, and achieve lasting competitive advantage. The future of AI is full of possibilities—are you ready to seize them? Tectonic is ready to help. How to Implement AI for Business Transformation 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

January 15, 2024in Artificial Intelligence, Data, Google, Technology

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