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Tectonic at a Glance
04Mar

AI Product Management Tools

Embracing AI in Product Management: Your New Best Friend, Not a Replacement-Original published by https://zedaio.medium.com/ Amid the lively debates about AI taking over product management roles, let’s set the record straight: AI is here as an ally, not a replacement. It’s about leveraging AI to amplify our capabilities, streamline mundane tasks, and make room for the creative and strategic aspects of product management. AI Product Management Tools. Here are seven AI tools that will automate your daily routines, offering support that transforms the way you manage products. Ready to upgrade your product management game with AI by your side? Let’s dive in! 1. Zeda.io Zeda.io is one of the best AI tools for product managers. It offers a complete suite of features that help you in feedback management, strategic planning, and closing the loop. It is a perfect tool if you are striving to balance your customer needs and business goals. With integrations like Slack, Gong, Teams, Salesforce, and more, you can gather and manage customer feedback effortlessly. Its unique AI technology generates valuable, actionable insights by categorizing all the feedback, helping you uncover pressing customer issues and decide what to build next. Key Features: 2. ChatGPT An obvious choice, ChatGPT can automate many of your tasks. It helps make sense of vague product user feedback, create PRDs, release notes, and other documents. The key is to use the right prompts and GPT plugins tailored for product managers. Key Features: 3. Notion AI Notion is a cloud-based productivity and collaboration tool that provides various organizational tools, including task management, project tracking, to-do lists, bookmarking, and more. Notion’s AI can assist product managers in several ways. Key Features: 4. Uizard Uizard is a user interface design tool that uses AI to quickly and efficiently create wireframes, mockups, and prototypes in minutes. The tool’s advanced deep-learning algorithms analyze images provided by product teams and managers to create design themes. Key Features: 5. ClickUp ClickUp is a cloud-based tool that helps teams manage their work effectively, offering features like task management, time tracking, file sharing, and communication tools. ClickUp is highly customizable and offers multiple AI tools that integrate seamlessly into workflows. Key Features: 6. Delibr Delibr is an excellent tool for AI product teams to collaborate effectively during the feature refinement process. It helps capture, synthesize, and organize feedback from diverse sources, enabling informed decision-making and creating high-quality documentation. Key Features: 7. Fireflies.ai Fireflies.ai enhances meeting productivity by transcribing, summarizing, and analyzing voice conversations. It integrates with major video-conferencing platforms and offers various ways to capture meetings, including a Chrome extension and direct uploads. Key Features: AI Product Management Tools Embracing AI in product management doesn’t mean diminishing the value of human insight; it’s about enhancing our capabilities and efficiency. The seven AI tools outlined here offer a glimpse into a future where technology and creativity intersect, empowering product managers to achieve more in less time. By integrating suitable tools into your workflow, you can focus on innovation and strategy, ensuring your products not only meet but exceed user expectations. Let AI be your ally to achieve greater heights and product success. 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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March 4, 2024in AI Tools, Data, Google, Salesforce, Salesforce Einstein, Technology
Einstein Copilot Studio
02Mar

Einstein Copilot Studio Explained

Einstein Copilot Studio Explained: Crafting and Personalizing a Reliable AI Assistant Enterprises aiming to personalize Einstein Copilot can leverage the newly introduced Einstein Copilot Studio. This platform enables the construction and customization of AI assistants, incorporating pertinent prompts, skills, and AI models tailored for specific sales, service, marketing, commerce, and IT tasks. Beyond the confines of Salesforce applications, companies can seamlessly integrate Einstein Copilot into consumer-facing channels. This extension enhances customer interactions by embedding AI assistants into websites for real-time chat capabilities or integrating with popular messaging platforms such as Slack, WhatsApp, or SMS. Einstein Copilot Studio comprises the following key components: Just as Microsoft has introduced its own Copilot solutions, powered by generative AI, Salesforce is tapping into the power of LLMs to empower sales, marketing, and customer service professionals. Building on Salesforce’s existing range of Einstein AI features, the company announced “Einstein 1” this year – the next generation of the Salesforce platform. Einstein 1 is a comprehensive suite of tools that empowers users to bring AI into their everyday workflows. The Einstein Copilot (Salesforce Copilot) solution is at the core of this solution, alongside the new Copilot studio and the Einstein Trust Layer. Contact Tectonic today to explore the value of Einstein Copilot Studio for your company., 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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March 2, 2024in Einstein 1 Platform
AI Training Options
29Feb

AI Training Options

As AI adoption accelerates, AI certifications and courses have proliferated, providing deeper knowledge of this rapidly evolving technology. AI Training Options. Numerous AI certifications cover the basics, so we’ve narrowed the field to 10 of the most diverse and comprehensive programs. AI Training Options Artificial intelligence is poised to become the key technology that drives business transformation and gives companies a competitive edge. According to a recent forecast by the International Data Corporation, global spending on AI—including AI-enabled applications, infrastructure, and related services—will more than double to $632 billion by 2028, growing at a compound annual rate of 29% between 2024 and 2028. AI helps businesses boost productivity by automating processes such as robotics and autonomous vehicles, while also supporting existing workforces with technologies like assisted and augmented intelligence. Companies are integrating AI across various sectors, including finance, healthcare, retail, smart home devices, fraud detection, and security surveillance. Why AI certifications are important: 10 of the best AI certifications and courses: Each certification offers unique benefits, whether you’re a beginner or an experienced professional aiming to stay ahead in AI-driven industries. 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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February 29, 2024in Artificial Intelligence, Data, Generative AI, Google, Technology
Exploring Google Vertex AI
21Feb

Vertex AI

Exploring Google Vertex AI Conversation — Dialogflow CX with Generative AI, Data Stores, and Generators Vertex AI Conversation, built on Dialogflow and Vertex AI, introduces generative conversational features that utilize large language models (LLMs) for natural language understanding, crafting responses, and managing conversation flow. These advancements streamline agent design and enhance the quality of interactions. With Vertex AI Conversation, you can employ a state machine approach to develop sophisticated, generative AI-powered agents for dynamic conversation design and automation. In this insight, we’ll delve into the cutting-edge Dialogflow CX Generative AI technology, focusing on Data Stores and Generators. Data Stores: The Library of Information for Conversations Imagine Data Stores as an extensive library. When a question is asked, the virtual assistant acts as a librarian, locating relevant information. Dialogflow CX’s Data Store feature makes it easy to create conversations around stored information from various sources: For data preparation guidance, visit Google’s official documentation. Generators: LLM-Enhanced Dynamic Responses Dialogflow CX also enables Generators to use an LLM directly in Dialogflow CX without webhooks. Generators can perform tasks like summarization, parameter extraction, and data manipulation. Sourced from Vertex AI, they create real-time responses based on your prompts. For example, a Generator can be customized to summarize lengthy answers—an invaluable feature for simplifying conversations in chat or voice applications. You can find common Generator configurations in Google Cloud Platform (GCP) documentation. Creating a Chat Application with Vertex AI To start building, go to the Search and Conversation page in Google Cloud, agree to the terms, activate the API, and select “Chat.” Setting Up Your Agent After naming your agent and configuring data sources, like a Cloud Storage bucket with PDF documents, you’ll see your new chat app under Search & Conversation | Apps. Navigate to Dialogflow CX, where you can use your data store by setting up parameters for the agent and configuring responses. Once your agent is ready, you can test it in the Agent simulator. Adding a Generator for Summarization Using the Generator feature, you can further refine responses. Set parameters to target the Generator’s summarization feature, and link it to a specific page for summarized responses. This improves chat flow, providing concise answers for faster interactions. Integrating with Discord If you want to deploy your agent on platforms like Discord, follow Google’s integration guide for Dialogflow and adjust your code as needed. With the integration, responses will include hyperlinks for easy reference. Conclusion Vertex AI Conversation, with Dialogflow CX, enables powerful, human-like chat experiences by combining LLMs, Data Stores, and Generators. Ready to build your own dynamic conversational experiences? Now is the perfect time to experiment with this technology and see where it can take you. 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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February 21, 2024in Data, Generative AI, Google, Technology
SWOT Templates
02Feb

SWOT Templates

Top SWOT Analysis Templates for Any Business Strategic planning is crucial for businesses aiming to grow. Whether launching a new product, tackling competition, or enhancing existing offerings, a SWOT analysis can help you understand your current position and develop a confident path forward. When engaging in strategic brainstorming, avoid getting bogged down by documentation. Focus on expansive thinking and creative problem-solving instead. To aid in this process, we’ve compiled some of the best SWOT analysis templates available online. These templates handle the layout and design so you can concentrate on deep thinking. Read on to discover the value of SWOT analyses and our top template picks. What is a SWOT Analysis? A SWOT analysis is a framework for evaluating your company’s market position by examining internal and external factors. It helps identify your strengths, weaknesses, opportunities, and threats. The strengths and weaknesses sections focus on internal factors, such as products, value propositions, teams, and resources. Opportunities and threats examine external factors, including customers, competitors, industry trends, and broader market forces. Why Conduct a SWOT Analysis? A SWOT analysis provides a clear visualization of your business’s current standing. By understanding your strengths, areas for improvement, and external influences, you can formulate effective strategies for progress. Periodic SWOT analyses are beneficial for continuous improvement and essential during significant initiatives or changes, such as: SWOT analyses can also be applied to individual team members, useful for performance reviews or team reorganizations. Top SWOT Analysis Templates for Any Business Here are seven excellent SWOT analysis templates suitable for any business: For SWOT analyses that will be part of larger presentations, Canva’s drag-and-drop design tool offers dozens of templates. Customize with your brand colors and insert into your strategy deck or PDF. Miro’s virtual whiteboard template goes beyond traditional SWOT frameworks by adding sections for potential actions. Explore how to leverage strengths and opportunities or mitigate weaknesses using opportunities. Smartsheet provides templates for both Google Docs and Microsoft Word. Whether evaluating a business goal or personal performance, these templates are versatile and easy to use. TemplateLAB offers SWOT analysis templates in multiple formats, including Word Doc, PowerPoint, PDF, and Photoshop. Choose from a range of styles for both internal brainstorming and formal presentations. Airtable combines the structure of Excel with better organization for written content. Its SWOT analysis template is perfect for those who prefer spreadsheet-style work with enhanced labeling and filtering capabilities. SCORE’s simple Word Doc template provides all the necessary elements for a SWOT analysis without any extra distractions. SCORE also offers free resources, including mentorship and educational opportunities. For those looking to incorporate AI, Notion offers a template that leverages ChatGPT. Input your business information, and ChatGPT generates a SWOT analysis, offering insights you might not have considered. Bonus: WordStream Free SWOT Analysis Template For a comprehensive solution, try the WordStream template in Google Sheets. It’s an excellent tool for SWOT analysis brainstorming sessions. Use a SWOT Analysis Template Today for Business Growth Tomorrow When choosing a template, prioritize strategic work over perfect design. Select one and dive into the brainstorming process with your team to gain valuable insights for your business. If you need assistance with your marketing strategy, explore our solutions to maximize strengths and minimize weaknesses for long-term success. 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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February 2, 2024in Salesforce
Unfolding AI Revolution
19Jan

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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January 19, 2024in Artificial Intelligence, Generative AI, Google, Technology
Better Sales and Services with Salesforce Unlimited Edition
17Jan

Granular Data Center Overview

Granular Data Center Overview in Marketing Cloud Intelligence The Granular Data Center is an advanced feature tailored for ingesting detailed, raw data into the system. This data can reach a scale of hundreds of millions or even billions of rows due to its granularity. Unlike other data stream types, usage and pricing are based on terabytes of storage rather than row count. Ideal data types for Granular Data Center streams include keyword-level data, event-level data, logs, and precise geodata. Granular Data Center streams generate corresponding tables of data specific to a workspace. All data stored in the Granular Data Center fully complies with GDPR regulations and requirements. The Granular Data Center is a premium feature. For inquiries about purchasing, please contact a Marketing Cloud Intelligence representative at Salesforce. Deprovisioning the Granular Data Center add-on from an account triggers the following actions: Note: System admins and higher can still access the Granular Data Center for 90 days after unchecking the checkbox. Access will be unavailable after this period. Note: System admins and higher can continue running SQL queries and exports for 90 days. After this period, all Granular Data Center data streams are automatically deleted, along with the data. When retrieving data from the Granular Data Center, be mindful of these timeout limits: Enabling the Granular Data Center in a Workspace Purchasing the Granular Data Center automatically activates it in the account, but an admin must enable it in the workspace to make the Granular Data Center tab visible. Viewing Granular Data Center Data The Granular Data Center landing page provides an overview of all created data streams in that workspace. Users can manage ingested data, aggregations, extracted data, share data streams, create queries, and more from this centralized location. Creating Granular Data Center Data Streams Generate a Granular Data Center data stream to ingest detailed data, such as event-level or keyword-level data. Mapping Granular Data Center Data Upon file upload or usage of a technical vendor, users are directed to a mapping preview screen where they can verify data identification, modify mapping, add mapping formulas, and more. Each uploaded dataset creates a dynamic table tailored to the loaded data type, impacting data load options and behavior. Querying Granular Data Centers Access and extract data from Granular Data Centers within your workspace. Users can also query Granular Data Centers in other workspaces via data sharing. Queries can be manually crafted using an SQL editor or created effortlessly with the Query Builder. Visualizing Granular Data Center Data The Entity-Relationship Diagram (ERD) visually represents tables and connections between specific dimensions. Each block symbolizes a table containing available fields, with lines denoting connections between tables based on specific dimensions. Sharing Granular Data Centers Relevant Granular Data Centers can be shared across workspaces within the same account. Deleting Data from a Granular Data Center To align with data protection regulations, users have the option to delete data from a Granular Data Center. 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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January 17, 2024in Data, Google, Marketing Automation, Salesforce, Salesforce Data Cloud, Salesforce Marketing Cloud
How to Implement AI for Business Transformation
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

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January 15, 2024in Artificial Intelligence, Data, Google, Technology
AI's Impact on the Workforce
07Jan

AI’s Impact on the Workforce

According to McKinsey, generative AI has the potential to contribute between $2.6 trillion and $4.4 trillion in value to the global economy across various industries, spanning banking, retail, high tech, healthcare, and life sciences. Its impact is expected to reach diverse professions, including customer operations, marketing and sales, software engineering, and research and development. The influence of AI on the workforce is significant. A report by Goldman Sachs suggests that AI could replace the equivalent of 300 million full-time jobs, affecting a quarter of work tasks in the US and Europe. However, it also brings forth new job opportunities and a productivity boom. Despite concerns about job displacement, AI is anticipated to generate numerous new opportunities. Roles like prompt engineer and AI product manager are emerging, with a Salesforce-sponsored IDC white paper predicting a surge in demand for positions such as data architects, AI ethicists, and AI solutions architects over the next 12 months. The report also forecasts the creation of 11.6 million new jobs within the Salesforce ecosystem alone over the next six years. Recent advancements in generative AI, exemplified by products like ChatGPT with 100 million monthly active users in two months, have reignited discussions about automation’s impact on jobs. While the extent of disruption remains unknown, developers, users, and policymakers should consider its effects on workers. To address challenges and opportunities, Majority Leader Chuck Schumer has launched a SAFE Innovation Framework, emphasizing worker security. The Biden administration is developing a National AI Strategy to address economic and job impacts. For individuals in the workforce, there’s an opportunity to cultivate existing skills and acquire new ones through platforms like Salesforce’s Trailhead, Coursera, and LinkedIn. AI’s impact on jobs involves eliminating repetitive tasks, allowing individuals to focus on more strategic and creative aspects of their roles. In fields like sales, customer service, marketing, healthcare, finance, and graphic design, AI will transform roles and create new opportunities. Chris Poole, AI Technical Consulting Lead in Salesforce’s global AI practice, envisions AI becoming ingrained in every aspect of our lives, contributing to fascinating evolution across various fields. The scale of AI adoption’s impact on workers, especially with generative AI tools, remains uncertain. Potential effects include replacing, complementing, or freeing workers for more productive tasks, or creating new jobs. A Goldman Sachs estimate suggests that about two-thirds of current jobs are exposed to some degree of AI automation, with generative AI potentially substituting up to one-fourth of current work. McKinsey Global Institute estimates that 29.5 percent of all hours worked could be automated by 2030. Regarding job impact, professional occupations associated with clerical work in finance, law, and business management are most exposed to AI. However, AI is also concurrently creating many new jobs. 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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January 7, 2024in AI Tools, Data, Generative AI, Google, Salesforce, Salesforce Einstein
Improve Customer Experience
07Jan

Improve Customer Experience

The Importance of Customer Experience: Turning Every Interaction into a Lasting Impact Customer experience (CX) refers to every interaction a customer has with your brand—from the first touchpoint through to post-purchase support. While the term is often used broadly, its meaning is more nuanced, encompassing the entire customer journey. From the initial ad they see to the quality of their engagement with your customer support, CX reflects the customer’s perception of your brand, compared to the promises you’ve made. Improve Customer Experience. What Is Customer Experience (CX)? At its core, CX measures how customers perceive their interactions with your organization. It goes beyond customer service and spans every touchpoint, whether it’s the ease of navigating your website, the tone of your marketing emails, or the post-purchase support experience. A strong customer experience is critical for fostering brand loyalty and meeting customer expectations at every step of their journey. Why Customer Experience Matters In today’s competitive marketplace, customer expectations are at an all-time high. According to research, 80% of customers say that the experience a company provides is just as important as its products or services. Whether you’re in B2C or B2B, an exceptional customer experience translates into loyalty, brand advocacy, and revenue growth. Some key benefits of prioritizing CX include: Key Elements of a Great Customer Experience Our research highlights several factors that customers deem essential for a great experience: However, many companies fall short of these expectations. For example, 56% of customers report needing to repeat themselves to different representatives, and 55% say it feels like they’re interacting with separate departments rather than a single, unified brand. The good news? A subpar experience can be quickly remedied with exceptional customer service—75% of customers will forgive mistakes after receiving excellent support. How to Measure Customer Experience Measuring CX is essential for understanding what works and where improvements are needed. Popular methods include: Building a Successful CX Management Strategy An effective CX management strategy aligns your entire business around the customer’s needs. It should include continuous feedback loops, data-driven decision-making, and a focus on creating a customer-centric culture. Improve Customer Experience. Key Pillars of a CX Strategy: How to Improve Customer Experience Delivering a standout customer experience requires a combination of people, processes, and technology. Here are five best practices for enhancing your CX: The Role of Experience Management Customer experience management (CXM) goes hand-in-hand with a broader experience management strategy. This includes not only customer interactions but also employee experiences, product quality, and brand perception. By implementing an experience management framework, companies can align technology, culture, and six core competencies to optimize all aspects of customer engagement. The Bottom Line: Customer Experience Drives Success With Salesforce Customer experience is no longer just a buzzword—it’s a critical factor for business success. By understanding and improving the customer journey, you can foster loyalty, reduce churn, and create a long-term competitive advantage. Start by building a strong CX framework, empowering your teams, and making data-driven decisions to lead the way in customer satisfaction. Content updated August 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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January 7, 2024in Data, Google, Marketing Automation, Salesforce Copilots, Technology
Salesforce Einstein Copilot
28Dec

What’s Included in Einstein Copilot Studio?

Christmas came early this year with Salesforce’s announcement of Einstein Copilot Studio. Einstein Copilot Studio will encompass the following features: 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

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December 28, 2023in Einstein 1 Platform, Salesforce Einstein
Government-Citizen Communication
05Nov

Government-Citizen Communication

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

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November 5, 2023in Data, Google, Laws, Public Sector Solutions, Technology
Salesforce
06Oct

Salesforce Integrations for Sales Users

Salesforce integration offers compatibility with a wide array of business tools, and this insight article from Tectonic zeroes in on the most advantageous integrations tailored for your sales teams. Salesforce Integrations for Sales Users encompass various areas from contract management tools to lead enrichment and marketing automation platforms, the focus is on enhancing the efficiency of your sales operations. Understanding Salesforce Integrations A Salesforce integration is a mechanism linking the CRM with one or more business tools, facilitating seamless data transfer and automation of repetitive administrative tasks. With over 2,500 integrations, Salesforce is one of the most connected and flexible CRMs on the market. Let’s dive into the top Salesforce integrations for sales teams in 2024. Best Salesforce Integrations for Sales Teams 1. Slack – Streamlined Internal Communication Owned by Salesforce, Slack integration ensures smooth communication by facilitating easy sharing and querying of records between the two platforms. This integration promotes real-time updates, fostering improved collaboration, quicker decision-making, and enhanced productivity. Slack and Salesforce integrations are easy to set up and Tectonic can help. User Reviews: 2. Salesloft – Elevating Sales Engagement Salesloft complements Salesforce by focusing on customer engagement. This integration allows the import of contacts from Salesforce into Salesloft, enabling seamless communication with prospects. Recorded communication details are then synchronized back into Salesforce, offering visibility into deal progression and prospect engagement. User Reviews: 3. Chili Piper – Simplified Scheduling Chili Piper’s integration with Salesforce streamlines appointment scheduling by enabling one-click meeting scheduling within Salesforce. Every booked meeting is automatically logged and tracked as an event in Salesforce, contributing to improved data accuracy and efficient scheduling. All interactions with leads are added to engagement activity in their Salesforce record. User Reviews: 4. Juro – Accelerating Contract Management Juro’s all-in-one contract management platform integrates seamlessly with Salesforce, enabling sales reps to generate sales agreements effortlessly. The integration facilitates real-time syncing of data between the two platforms, allowing for swift contract drafting, negotiation, and management. Key Benefit: 5. LinkedIn Sales Solutions – Incorporate LinkedIn profiles to Salesforce records LinkedIn Sales Solutions embeds LinkedIn profiles with the CRM providing timely insights on buyers and companies. Data Validation flags out-of-date contacts. Key Benefit: 6. Lead Capture in Sales Cloud – Collect leads from Facebook and Google directly into Sales Cloud This application enables marketers to collect lead data from two primary external platform ad forms and share them with sales teams. Key Benefit: Salesforce Integrations for Sales Users These Salesforce integrations are tailored to augment the capabilities of sales teams, ranging from internal communication to contract management, ultimately fostering efficiency and productivity. If you are looking at tools to integrate with Salesforce for your teams, contact Tectonic for Salesforce implementation assistance. 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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October 6, 2023in Data, Google, Marketing Automation, Salesforce, Salesforce Managed Services, Salesforce Sales Cloud, Salesforce Slack

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