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Benefits of Salesforce Experience Cloud
11Aug

Benefits of Salesforce Experience Cloud

Salesforce Experience Cloud: Transforming Digital Customer Engagement To understand the Benefits of Salesforce Experience Cloud we must understand what a customer or partner portal is intended to do. Salesforce Experience Cloud, previously known as Community Cloud, is a powerful digital experience platform (DXP) designed to help organizations create and deliver exceptional, customer-centric experiences across multiple channels. This platform goes beyond community management, offering tools for building and managing websites, portals, mobile apps, and integrating social media. Benefits of Salesforce Experience Cloud explored. Built on Salesforce Customer 360, Experience Cloud gives businesses a comprehensive view of their customers by connecting data from various sources. With these insights, businesses can create personalized experiences tailored to each customer’s preferences and needs. Organizations can use Experience Cloud to design portals, websites, and communities, providing seamless access to relevant information, collaboration tools, and resources. The platform’s flexibility allows businesses to enhance customer satisfaction, improve partner collaboration, and boost employee productivity. Key Benefits of Salesforce Experience Cloud Salesforce Experience Cloud offers numerous benefits that help businesses deliver seamless experiences across the customer journey. Here are some of its key advantages: 1. Seamless Integration Experience Cloud integrates effortlessly with other Salesforce products like Sales Cloud and Service Cloud, providing a unified platform for comprehensive customer management. 2. Scalability and Customization The platform is highly scalable, allowing businesses to expand their communities as they grow. With extensive customization options, businesses can tailor the platform to meet their specific needs and branding requirements. 3. Security and Trust Salesforce is known for its robust security features, ensuring customer data is protected at all times. Businesses can confidently manage sensitive customer information within Experience Cloud. 4. Extensive AppExchange Ecosystem Salesforce’s AppExchange marketplace provides access to a wide range of pre-built integrations and apps that enhance the functionality of Experience Cloud, allowing businesses to customize and extend their platform capabilities. Real-World Uses of Salesforce Experience Cloud Salesforce Experience Cloud is used by businesses across various industries to improve customer engagement, enhance collaboration, and boost productivity. Some key use cases include: 1. Partner Portals Experience Cloud enables businesses to create dedicated partner portals where partners can collaborate with internal teams, access resources, and share leads. This accelerates partner engagement and streamlines business processes. 2. Self-Service Portals Businesses can offer 24/7 self-service portals, allowing customers to access product information, troubleshoot common issues, and track their interactions. These portals help reduce the workload on support teams and enhance customer satisfaction. 3. Customer Communities Experience Cloud allows businesses to create customer communities where users can find personalized content, engage with other users, and access self-service resources. This promotes collaboration and reduces the strain on customer support teams. 4. Employee Communities Internal employee communities serve as hubs for company-wide communication, training, and collaboration. Employees can access resources, share knowledge, and seek support, ultimately boosting engagement and productivity. 5. Branded Mobile Apps Businesses can use Experience Cloud to develop branded mobile apps that give customers, partners, and employees convenient access to services, resources, and information on the go. 6. Social Media Integration Experience Cloud integrates with popular social media platforms, allowing businesses to engage with customers directly, share content, and respond to inquiries. Top Features of Salesforce Experience Cloud Salesforce Experience Cloud is packed with features that enhance customer engagement, streamline operations, and improve overall efficiency: Companies Using Salesforce Experience Cloud Nike and PUMA leverage Experience Cloud for personalization. Nike’s loyalty program and Puma’s mobile shopping experience are enhanced by the platform’s built-in mobile UX design and technical architecture, resulting in better customer engagement and increased sales. Bank of America and Wells Fargo use Experience Cloud to offer customer support through self-service portals and community forums, improving customer satisfaction and gathering valuable feedback. IBM uses the platform to create collaborative communities for employees and customers alike. With integrated tools like Salesforce Einstein and IBM Watson, the company has enhanced internal collaboration and customer service. Hulu uses Salesforce to power its Help Center, where customers can find answers, engage with other viewers, and leave feedback that shapes Hulu’s content. OpenTable relies on Experience Cloud for its Diner Help portal, a one-stop shop for dining-related queries, enhancing the user experience and operational efficiency. Choosing the Right Salesforce Experience Cloud Partner for Implementation When implementing Salesforce Experience Cloud, choosing the right partner is crucial to ensure success. Look for a partner with: With the right partner, like Tectonic, businesses can fully grasp the power of Salesforce Experience Cloud to deliver exceptional digital experiences that foster customer loyalty, drive business growth, and improve operational efficiency. Content updated October 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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August 11, 2023in Data, Salesforce, Salesforce Development Services, Salesforce Einstein, Salesforce Experience Cloud
Useful ChatGPT Techniques
09Aug

Useful ChatGPT Techniques

Let’s embark on a journey through the intricate world of prompt engineering, guided by the tales of seasoned explorers who have braved the highs and lows of AI interactions. Picture these individuals as a daring voyager, charting unexplored territories to uncover the secrets of prompt mastery, all so that others may navigate these waters with ease. Useful ChatGPT Techniques. In this epic insight, our intrepid explorers shars a treasure trove of insights gleaned from their odyssey—a veritable “best of” plethora chronicling their conquests and not-so-conquests. From the peaks of success to the valleys of failure, every twist and turn in their adventure has led to the refinement of their craft. Prepare to be enthralled as they unravel the enigma of prompt design, revealing its pivotal role in shaping AI interactions. With each revelation, they unveil the power of perfect prompt design to elevate solutions, enchant customers, and conquer the myriad challenges that lie in wait. But this is no ordinary tale of technical prowess—no, dear reader, it is a grand odyssey teeming with intrigue and excitement. From the bustling streets of AI-powered applications to the untamed wilderness of off-topic queries, hallucinations, flat-out lies, and toxic language, our heroes navigate it all with cunning and finesse. Along the way, they impart their hard-earned wisdom, offering practical advice and cunning strategies to fellow travelers eager to tread the same path. With each chapter, they peel back the layers of mystery surrounding prompt engineering, illuminating the way forward for those brave enough to follow. So, dear reader, strap in and prepare for an adventure like no other. With our intrepid explorers as your guide, you’ll embark on a thrilling quest to unlock the secrets of prompt mastery and harness the full potential of AI-powered interactions. Why Prompt Design Matters Prompt design plays a crucial role in optimizing various aspects of your solution. A well-crafted prompt can: Let’s dive into the essential prompting approaches with the following table of contents: Prompts can be quite long and complex. Often, long, and carefully crafted prompts with the right ingredients can lead to a huge reduction in incorrectly processed user utterances. But always keep in mind that most prompt tokens have a price, i.e. the longer the prompt, the more expensive it is to call the API. Recently, however, there have been attempts to make prompt input tokens cheaper than output tokens. By mastering these prompting techniques, you can create prompts that not only enhance performance but also deliver exceptional customer experiences. Like Related Posts 50 Advantages of Salesforce Sales Cloud According to the Salesforce 2017 State of Service report, 85% of executives with service oversight identify customer service as a Read more Salesforce Artificial Intelligence Is artificial intelligence integrated into Salesforce? Salesforce Einstein stands as an intelligent layer embedded within the Lightning Platform, bringing robust Read more Salesforce’s Quest for AI for the Masses The software engine, Optimus Prime (not to be confused with the Autobot leader), originated in a basement beneath a West Read more How Travel Companies Are Using Big Data and Analytics In today’s hyper-competitive business world, travel and hospitality consumers have more choices than ever before. With hundreds of hotel chains Read more

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August 9, 2023in Salesforce Einstein
Salesforce Einstein and Einstein Automate
09Aug

Einstein Trust

Generative AI, Salesforce, and the Commitment to Trust The excitement surrounding generative AI is palpable as it unlocks new dimensions of creativity for individuals and promises significant productivity gains for businesses. Engaging with generative AI can be a great experience, whether creating superhero versions of your pets with Midjourney or crafting pirate-themed poems using ChatGPT. According to Salesforce research, employees anticipate saving an average of 5 hours per week through the adoption of generative AI, translating to a substantial monthly time gain for full-time workers. Whether designing content for sales and marketing or creating a cute version of a beloved story, generative AI is a tool that helps users create content faster. However, amidst the enthusiasm, questions arise, including concerns about the security and privacy of data. Users ponder how to leverage generative AI tools while safeguarding their own and their customers’ data. Questions also revolve around the transparency of data collection practices by different generative AI providers and ensuring that personal or company data is not inadvertently used to train AI models. Additionally, there’s a need for assurance regarding the accuracy, impartiality, and reliability of AI-generated responses. Salesforce has been at the forefront of addressing these concerns, having embraced artificial intelligence for nearly a decade. The Einstein platform, introduced in 2016, marked Salesforce’s foray into predictive AI, followed by investments in large language models (LLMs) in 2018. The company has diligently worked on generative AI solutions to enhance data utilization and productivity for their customers. The Einstein Trust Layer is designed with private, zero-retention architecture. Emphasizing the value of Trust, Salesforce aims to deliver not just technological capabilities but also a responsible, accountable, transparent, empowering, and inclusive approach. The Einstein Trust Layer represents a pivotal development in ensuring the security of generative AI within Salesforce’s offerings. The Einstein Trust Layer is designed to enhance the security of generative AI by seamlessly integrating data and privacy controls into the end-user experience. These controls, forming gateways and retrieval mechanisms, enable the delivery of AI securely grounded in customer and company data, mitigating potential security risks. The Trust Layer incorporates features such as secure data retrieval, dynamic grounding, data masking, zero data retention, toxic language detection, and an audit trail, all aimed at protecting data and ensuring the appropriateness and accuracy of AI-generated content. Salesforce proactively provided the ability for any admin to control how prompt inputs and outputs are generated, including reassurance over data privacy and reducing toxicity. This innovative approach allows customers to leverage the benefits of generative AI without compromising data security and privacy controls. The Trust Layer acts as a safeguard, facilitating secure access to various LLMs, both within and outside Salesforce, for diverse business use cases, including sales emails, work summaries, and service replies in contact centers. Through these measures, Salesforce underscores its commitment to building the most secure generative AI in the industry. Generating content within Salesforce can be achieved through three methods: CRM Solutions: Einstein Copilot Studio: Einstein LLM Generations API: An overarching feature of these AI capabilities is that every Language Model (LLM) generation is meticulously crafted through the Trust Layer, ensuring reliability and security. At Tectonic, we look forward to helping you embrace and utilize generative AI with Einstein save time. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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August 9, 2023in Artificial Intelligence, Data, Generative AI, Salesforce, Salesforce Einstein
Salesforce Chat GPT
08Aug

What’s Happening with ChatGPT and Salesforce

ChatGPT and Salesforce The integration of ChatGPT with Salesforce presents an opportunity to streamline organizational processes, resulting in significant time savings. This integration not only enhances CRM data management with generative AI but also takes the customer experience to new heights. Integration Process: To integrate ChatGPT with Salesforce, the typical process involves creating an account on the OpenAI platform and generating an API key. These steps ensure successful integration by providing API access and authentication credentials. It’s crucial to treat the API key with the same security measures as a password to safeguard the integration. Salesforce and OpenAI Collaboration: While Salesforce offers access to AI through its Einstein GPT suite of products, Salesforce Admins and Developers have also begun directly integrating with OpenAI’s APIs and various AppExchange apps. They are incorporating these tools into their offerings to introduce new AI-powered features, enhancing their platforms’ capabilities. Role of ChatGPT and Salesforce Admins: ChatGPT does not aim to replace Salesforce Admins but rather to augment their effectiveness and productivity. Admins with strong analytical and administrative skills can leverage ChatGPT to expedite configuration tasks. However, mastering the collaboration with ChatGPT is essential to enhance the quality of results. Understanding ChatGPT: ChatGPT, developed by OpenAI, represents a breakthrough in AI beyond conventional chatbots. It operates on the OpenAI GPT-3.5 family of large language models, incorporating both supervised and reinforcement learning techniques. Backed by OpenAI, ChatGPT employs natural language processing (NLP) to interact conversationally, mirroring human dialogue. OpenAI, founded in San Francisco, boasts substantial support from industry leaders like Microsoft. OpenAI and GPT-4: OpenAI recently unveiled GPT-4, the latest iteration of its popular ChatGPT model. GPT-4 boasts enhanced capabilities, including image processing and increased word processing capacity. With millions of users since its launch, ChatGPT continues to evolve, offering unparalleled NLP functionality. Top Use Cases for ChatGPT in Salesforce: Explore the potential of ChatGPT and Salesforce with features and scenarios, including natural language processing, chatbots, predictive sales, personalized communication, and analysis of conversational data. Einstein GPT: Salesforce introduces Einstein GPT, the world’s first generative AI for CRM. Einstein GPT enables the generation of tailored content from CRM data, ensuring relevance in every interaction, be it emails, reports, knowledge articles, or code snippets. Community Insights: As the AI landscape, particularly ChatGPT, continues to evolve, it’s essential to understand its implications for the Salesforce ecosystem. The Salesforce community acknowledges the power of ChatGPT as a sophisticated chatbot built on advanced AI technology, poised to revolutionize various Salesforce roles and experiences. What is Salesforce doing with ChatGPT? The integration between ChatGPT and Salesforce can optimize a significant portion of organizational processes, resulting in considerable time savings. This not only enhances CRM data management, now powered by generative AI, but also elevates the customer experience to a new level. Can we integrate ChatGPT with Salesforce? This typically involves creating an account on the OpenAI platform and generating an API key. To set up your API access and authentication credentials for a successful ChatGPT for Salesforce integration, follow the steps below. Treat your API key like a password to protect the security of your integration. Is Salesforce using OpenAI? While Salesforce enables customers to access it via its Einstein GPT suite of products, Salesforce Admins and Developers have also started integrating directly with OpenAI’s APIs and the many AppExchange apps. They are now embedding it into their offerings to deliver new AI-powered features. ChatGPT has shown the world the potential of AI beyond simple chatbots. Join Tectonic on the AI journey and learn about How to use ChatGPT for Salesforce, Its use cases, Integration and how you can implement it in Salesforce. Salesforce’s new marketing message is AI + Data + CRM. It all adds up to customer magic. At the heart of this magic is Generative AI or GPT, not ChatGPT. Of course, AI advancements will mean very different things across the wide variety of Salesforce roles and day-to-day experiences. With more and more “GPT” tools being launched each week, how is the Salesforce community using the Chat variety in their day-to-day roles, and how do they see it evolving over the coming months and years? ChatGPT is nothing more than a chatbot, akin to Einstein bots. However, it’s a powerful one! Built on the OpenAI GPT-3.5 family of large language models and both supervised and reinforcement learning techniques, ChatGPT was trained on a vast amount of internet text with a cutoff in January 2022. It has been optimized for natural language processing tasks such as text generation, question answering, translation, and text classification. The technology behind ChatGPT is advanced and continues to evolve, relying on machine learning and deep learning techniques. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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August 8, 2023in Einstein 1 Platform, Generative AI, Salesforce Einstein
Salesforce Einstein Copilot
07Aug

Salesforce Einstein Copilot – Spring ’24

Salesforce introduces the latest iteration of Einstein, introducing a Conversational AI Assistant to integrate seamlessly into every CRM application and enhance the overall customer experience. The new Einstein Copilot, powered by generative AI, is designed to boost productivity by seamlessly integrating into the workflow. Additionally, organizations can tailor Einstein Copilot to meet their specific business requirements using Einstein Copilot Studio. The inclusion of the Einstein Trust Layer ensures the protection of sensitive data while allowing companies to leverage their trusted data to enhance generative AI responses within the platform. The reality is every company will undergo an AI transformation to increase productivity, drive efficiency, and deliver incredible customer and employee experiences. With Einstein Copilot and Data Cloud we’re making it easy to create powerful AI assistants and infuse trusted AI into the flow of work across every job, business, and industry. In this new world, everyone can now be an Einstein. Marc Benioff, Chair and CEO, Salesforce Einstein Copilot is designed to generate reliable and precise recommendations and content for specific tasks such as constructing digital storefronts, crafting custom code, creating data visualizations, and guiding sales associates in closing deals efficiently. Grounded securely with customer data from Salesforce Data Cloud, encompassing customer data, enterprise content, telemetry data, Slack conversations, and other structured and unstructured data, Einstein Copilot ensures informed and accurate decision-making. In contrast to previous generative AI copilot solutions that operated as separate applications, Einstein Copilot is natively integrated within the world’s leading AI CRM. It taps into data from any Salesforce application, enhancing the generation of more accurate AI-powered recommendations and content. Employing natural language prompts, Einstein Copilot can perform various tasks in sales, service, marketing, commerce, development, Tableau, and industry-specific scenarios: Sales: Service: Marketing: Commerce: Developers: Tableau: Industry-specific: Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more 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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August 7, 2023in Salesforce Data Cloud, Salesforce Einstein, Salesforce Financial Services Solutions, Salesforce Health and Life Sciences Solutions, Salesforce Manufacturing Automotive Energy
Having An Effective AI Strategy
06Aug

Having An Effective AI Strategy

It All Begins with Strategy A robust AI strategy is the cornerstone of successful AI implementation. It provides clarity on vision, purpose, short and long-term goals, and necessary steps for the entire organization. Rooted in data, this strategy should include measurable objectives and KPIs to foster seamless collaboration across teams. As with any strategic initiative, it starts with trustworthy data. Having An Effective AI Strategy. Keys to Having An Effective AI Strategy Prepare Your Data Define Business Goals Identify and Prioritize Use Cases Establish Data Governance Policies Check Your Technology Stack Emphasize Continuous Improvement Start Small 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more 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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August 6, 2023in Salesforce Einstein
why join the salesforce trailblazers
04Aug

Why Join the Salesforce Trailblazers?

Tectonic offers several reasons why join the Salesforce Trailblazers. It sounds a little bit like a sports team, no? Elevate Your Salesforce Proficiency: “Being part of the Service Trailblazer Community greatly enhances my own Salesforce journey through connection and shared knowledge. I started with Trailhead and have guided many staff and coworkers with trails tailored to their Salesforce needs. Trailhead never disappoints me; it remains expansive, well-written, up-to-date, and relevant.” Julie O’Donnell, Salesforce administration manager at Quickbase Join a Supportive Community: Shape the Future of Customer Service: Why join the Salesforce Trailblazers Joining the Service Trailblazer Community propels you into a realm of collaboration, innovation, and continuous learning. So, rather than just following the trail, blaze it alongside your fellow customer Service Stars. There is always something new to learn and with Salesforce providing three major releases a year, monthly updates, and new products, you want to stay in the know. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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August 4, 2023in Salesforce
salesforce marketing cloud interaction studio
03Aug

Marketing Cloud and Einstein

AI has emerged as an effective solution to tackle the challenges arising from the sheer volume and rapidity of data in the marketing landscape. This article delves into some cutting-edge functionalities presented by Einstein within the Salesforce Marketing Cloud, showcasing how these features empower marketers to enhance performance and streamline their workflows. Einstein for Marketing Cloud uses Salesforce’s AI to help you best evaluate and implement your marketing activities. Use valuable insights on audiences, send time, engagement frequency, and your content to best target your customers. Deliver information to your customers when they need it and how they need it. Einstein in Marketing Cloud offers a range of opportunities for you to analyze, automate, and optimize your content. Use the apps throughout Marketing Cloud platforms to gain insight and better target your audiences. Salesforce Einstein for Marketing Cloud In the dynamic realm of marketing and sales, the pursuit of refining strategies is perpetual. Einstein Social Insights Within the Marketing Cloud’s Social Studio feature, marketers can publish content, engage in conversations, and analyze social data. Einstein augments this platform, introducing AI-powered capabilities: These advanced features empower marketers to optimize social strategy, fostering brand loyalty. For instance: Einstein Vision for Social With over 3 billion images uploaded to social platforms daily, Einstein Vision for Social equips marketers to analyze and derive insights from images. Marketers can train Social Studio to recognize images related to their brand, including products, logos, scenes, and food. This enriched data allows for a deeper understanding of brand followers, facilitating engagement and measurement of marketing efforts. Lookalikes Einstein lookalikes leverage lookalike modeling, identifying common traits among current customers to target new customers with similar characteristics. This tool streamlines the process, allowing marketers to create rich audiences and segments for modeling purposes using first, second, and third-party data in Audience Studio. Einstein Journey Insights In today’s consumer-centric world, Einstein Journey Insights helps marketers comprehend customer journeys by tracking interactions across touchpoints like web browsing and email. Advanced attribution modeling enhances engagements and event sequences, leading to specific goals such as purchases or product reviews. Interactive reports and visualizations enable marketers to optimize campaigns by comparing planned journeys with organic consumer journeys. Einstein Content Tagging Personalized and engaging messages demand an organized library of content. Einstein Content Tagging and image recognition technology automatically add and update content tags and metadata, helping marketers manage their assets efficiently. Smart Orchestration Einstein Send Time Optimization determines the best time to send an email or push notification. Einstein Engagement Frequency evaluates your contacts and identifies the optimal number of email messages or push notifications to send. Marketing Cloud Intelligence As marketing budgets increase, the need for ROI and superior customer experiences rises. Marketing Cloud Intelligence delivers AI-generated insights through automated regression modeling and statistical analysis. Einstein Marketing Insights sifts through data to identify high and low performers, enabling marketers to make informed decisions swiftly and optimize strategies for better results. The Einstein features in Salesforce Marketing Cloud present myriad opportunities for marketers to optimize their performance and work more efficiently. By harnessing these AI-powered capabilities, marketers can make informed decisions rapidly, fostering better brand engagement and higher ROIs. Tectonic is ready to assist you in deploying Einstein for Marketing Cloud. Contact us today. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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August 3, 2023in Data, Einstein Insights, Marketing Automation, Salesforce, Salesforce Einstein, Salesforce Marketing Cloud, Technology
cybersecurity and AI
02Aug

Cybersecurity and AI

Within the expansive and rapidly growing digital domain, IT leaders and organizations confront an array of cybersecurity threats, akin to modern-day magicians working with tricks and deceptions to steal digital secrets. To counter these threats against cybersecurity and AI, businesses must bolster their defenses. Among the prominent cybersecurity concerns, three primary threats persistently trouble IT leaders: phishing, ransomware, and denial-of-service (DoS) and distributed denial-of-service (DDoS) attacks. Phishing: Cybercriminals cast hooks into the digital ocean, hoping to ensnare unsuspecting victims through malicious emails or harmful links, leading to unwittingly downloading malware. In targeted spearphishing efforts, cybercriminals craft personalized outreach, posing as trusted colleagues or contacts. Ransomware: This form of malware blocks access to computer systems by encrypting them, demanding victims pay a substantial ransom to regain access to their own information. DoS and DDoS Attacks: These attacks disrupt networks by inundating them with requests, making it challenging or nearly impossible for legitimate users to access them. Insider Breach: Insider breaches, whether accidental or intentional, occur when an employee or authorized individual exposes systems to an attack. Accidental breaches may happen when an employee’s laptop is stolen, providing unauthorized access, while intentional breaches involve malicious employees facilitating entry for other cybercriminals or divulging proprietary information. Supply Chain Attack: Exploiting vulnerabilities in third-party vendors’ security practices, hackers infiltrate networks and inflict harm, even when an organization’s data management security is robust. AI in Cybersecurity: As businesses adopt AI tools, understanding associated risks is crucial. Robust data protection measures are essential, while AI aids in automating cyberattack detection and response efforts. Amidst escalating threats, AI tools continuously scan networks, devise solutions, and act swiftly to safeguard sensitive data. Automation tools driven by AI address the shortage of 3.4 million cybersecurity experts globally. Securing the Future: As digital networks expand, cybersecurity practices must evolve. Emerging technologies like AI and machine learning play vital roles in monitoring the threat landscape. However, human awareness and adherence to best practices remain crucial. In this dynamic digital world, the collaboration of technology and human vigilance stands as our most robust defense against cyber threats. Like Related Posts Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more 50 Advantages of Salesforce Sales Cloud According to the Salesforce 2017 State of Service report, 85% of executives with service oversight identify customer service as a Read more Salesforce Artificial Intelligence Is artificial intelligence integrated into Salesforce? Salesforce Einstein stands as an intelligent layer embedded within the Lightning Platform, bringing robust Read more Salesforce’s Quest for AI for the Masses The software engine, Optimus Prime (not to be confused with the Autobot leader), originated in a basement beneath a West Read more

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August 2, 2023in Salesforce Einstein
Improving Public Sector Employee Experience
01Aug

Improving the Public Sector Employee Experience with Salesforce

Confronted with the ever-evolving challenges of a dynamic workforce, the public sector, much like its private counterparts, grapples with transformations brought about by the pandemic, remote work, health issues, retirements, and cyber threats.  Improving Public Sector Employee Experience with Salesforce helps. Improving Employee Experience with Salesforce to Prevent the Great Resignation and Quiet Quitting As the “new normal” emerges, organizations anticipate persistent issues related to employee engagement and retention, including the growing phenomenon known as the “Great Resignation.” This surge in resignations presents a potential crisis, intensifying the competition for talent amid a rise in open positions and governmental constraints. And now we have employees who are “Quiet Quitting.”  Quiet quitting refers to doing the minimum requirements of one’s job and putting in no more time, effort, or enthusiasm than absolutely necessary. The Solution? The key to attracting and retaining top talent involves reimagining staffing functions and prioritizing the overall Employee Experience. Like private enterprises, successful recruitment often hinges on employee referrals and positive ratings. Digital enablement and modernization play a critical role in meeting employee expectations shaped by consumer experiences. Public servants frequently encounter challenges in accessing information, navigating siloed communication, and dealing with paper-based processes, emphasizing the need for efficient, digitally-enabled systems. With the expansion of remote work, well-designed systems become crucial in determining employee engagement and fostering connected experiences that enhance loyalty, morale, and retention. Even small changes can significantly enhance the employee experience, from recruitment to the end of service. Aligning dispersed teams and fostering collaboration in a remote work environment requires a digital headquarters that connects teams, tools, customers, and partners. Improving Public Sector Employee Experience Providing a welcoming and efficient onboarding process for new hires and facilitating knowledge sharing through digital platforms contribute to a positive employee experience. Digital technology, resembling a searchable knowledge base, empowers employees to find answers quickly. A customer-centric employee experience, utilizing technology like Employee Concierge, ensures immediate access to essential information, promoting efficiency in a modern digital age. Features such as global search and automated workflows, supported by tools like Salesforce Bots, enhance accessibility and streamline support processes. Robotic Process Automation (RPA) can reduce repetitive tasks, allowing staff to focus on more complex problem-solving. Transforming paper processes into dynamic, digital experiences enhances accessibility and efficiency. Utilizing data for diversity, equity, and inclusion (DE&I) initiatives is crucial. Integrating modern platforms for data analysis provides insights into workforce demographics and HR processes. People Analytics strategies, including the use of tools like Tableau for visualization, aid in identifying diversity gaps and developing effective solutions. Overall, a strategic focus on the Employee Experience and leveraging modern technologies can help public sector organizations effectively navigate workforce challenges. From Experience Cloud for engagement to a Service Cloud Knowledge Base for ease of information, Salesforce has many tools to help improve the public sector employee experience. Contact Tectonic today to explore Public Sector, Government, and Tribal solutions. Like1 Related Posts Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more 50 Advantages of Salesforce Sales Cloud According to the Salesforce 2017 State of Service report, 85% of executives with service oversight identify customer service as a Read more CRM Cloud Salesforce What is a CRM Cloud Salesforce? Salesforce Service Cloud is a customer relationship management (CRM) platform for Salesforce clients to Read more Salesforce Government Cloud: Ensuring Compliance and Security Salesforce Government Cloud public sector solutions offer dedicated instances known as Government Cloud Plus and Government Cloud Plus – Defense. Read more

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August 1, 2023in Salesforce Experience Cloud, Salesforce for Nonprofits, Salesforce Nonprofit Cloud, Salesforce Public Sector Solutions, Salesforce Service Cloud
Contact Builder is responsible for aggregating customer data from multiple source into a single customer view, known as the contact model in marketing cloud. For more information refer to the official documentation. Audience Builder is a segmentation tool, that abstracts the traditional SQL process for building segments and allows marketers to build segments by dragging and dropping them. For more information, please refer to the the documentation. Contact Builder has been moved to the Audience Builder tab
31Jul

Audience Builder Contact Builder

Contact Builder, formerly known as Audience Builder, is a robust tool within Marketing Cloud designed to manage data associated with contacts, referred to as ‘people’ records. This platform provides access to both demographic and behavioral information, which is organized into ‘attribute groups’ (such as abandoned carts), ‘events,’ and ‘populations,’ allowing for efficient segmentation of data. The primary distinction between Audience Builder and Contact Builder lies in their functionalities within Marketing Cloud. While Audience Builder focuses on segmenting data, Contact Builder serves as the tool for defining the data model within the Marketing Cloud ecosystem. Contact Builder is integral to data management within Marketing Cloud and will continue to play a central role in the platform’s operations. Marketing Cloud Audience Builder has empowered marketers to create finely segmented audiences based on behavioral and demographic data. With its retirement, the question arises: “What comes next?” To address this, Marketing Cloud offers engagement marketing tools powered by AI, enabling marketers to activate their data and deliver personalized campaigns at scale to enhance customer lifetime value. These tools include: Email Marketing: Cross-Channel Analytics: “After adopting Salesforce Marketing Cloud and using it to hyper-target our audience, we are able to reduce the waste of our current marketing budget and become more efficient with spending on initiatives that deliver better results“ Kyall MaiSVP & Chief Innovation Officer, Esquire Contact Builder vs. Audience Builder Contact Builder serves as the central hub for managing attribute values associated with each contact within Marketing Cloud. It maintains a comprehensive database of contact information and facilitates the organization and linkage of data from various sources, including ERP systems, CRM systems, and POS systems. This tool offers a unified view of customer interactions with the brand, enabling personalized communication across channels such as email, SMS, and push notifications. Audience Builder, now known as Contact Builder, dynamically creates targeted audiences based on stored attribute and behavioral values of contacts. These audiences are generated according to specific rules and criteria defined by the user. Audience Builder helps marketers segment contacts effectively, allowing for precise targeting or exclusion from marketing activities within Marketing Cloud Engagement. Key Features and Functions: Contact Builder: Audience Builder: While both Contact Builder and Audience Builder are essential components of Marketing Cloud, Contact Builder takes precedence as the primary tool for managing contact data and enabling personalized customer interactions. Audience Builder, now integrated into Contact Builder, continues to play a vital role in audience segmentation and targeting within Marketing Cloud Engagement. Contact Builder is responsible for aggregating customer data from multiple source into a single customer view, known as the contact model in marketing cloud. For more information refer to the official documentation. Audience Builder is a segmentation tool, that abstracts the traditional SQL process for building segments and allows marketers to build segments by dragging and dropping them. For more information, please refer to the the documentation. Contact Builder has been moved to the Audience Builder tab. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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July 31, 2023in Salesforce Marketing Cloud

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