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Data Cloud - Facts and Fiction
30Jun

Data Cloud – Facts and Fiction

Salesforce Data Cloud: Debunking Myths and Unveiling Facts If you’ve been active on LinkedIn, attending recent Salesforce events, or even watching a myriad of sporting events, you’ve likely noticed that Salesforce has evolved beyond just CRM. It’s now CRM + DATA + AI. Although Salesforce has always incorporated these elements, with Einstein AI and data being integral to CRM, the latest innovation lies in the Data Cloud. Data Cloud – Facts and Fiction Data Cloud, formerly known as Salesforce Genie, represents Salesforce’s latest evolution, focusing on enabling organizations to scale and grow in an era where data is the new currency. It is the fastest-growing product in Salesforce’s history, pushing new boundaries of innovation by providing better access to data and actionable insights. As Data Cloud rapidly develops, potential clients often have questions about its function and how it can address their challenges. Here are some common myths about Data Cloud and the facts that debunk them. Myth: Data Cloud Requires MuleSoft Fact: While MuleSoft Anypoint Platform can accelerate connecting commonly used data sources, it is not required for Data Cloud. Data Cloud can ingest data from multiple systems and platforms using several out-of-the-box (OOTB) connectors, including SFTPs, Snowflake, AWS, and more. Salesforce designs its solutions to work seamlessly together, but Data Cloud also offers connector options for non-Salesforce products, ensuring flexibility and integration capabilities beyond the Salesforce ecosystem. Myth: Data Cloud Will De-Duplicate Your Data Fact: Harmonizing data in Data Cloud means standardizing your data model rather than de-duplicating it. Data Cloud maps fields to a common data model and performs “Identity Resolution,” using rules to match individuals based on attributes like email, address, device ID, or phone number. This process creates a Unified Individual ID without automatically de-duplicating Salesforce records. Salesforce intentionally does not function as a Master Data Management (MDM) system. Myth: Data Cloud Will Create a Golden Record Fact: Data Cloud does not create a single, updated record synchronized across all systems (a “golden record”). Instead, it retains original source information, identifies matches across systems, and uses this data to facilitate engagements, known as the Data Cloud Key Ring. For instance, it can recognize an individual across different systems and provide personalized experiences without overwriting original data. Myth: You Can’t Ingest Custom Objects from Salesforce Fact: During the data ingestion process, you can select which objects to ingest from your Salesforce CRM Org, including custom objects. The system identifies the API names of the objects and fields from the data source. Ensuring the Data Cloud integration user has access to the necessary information (similar to assigning Permission Sets) allows you to ingest and map custom objects accordingly. Myth: Data Cloud Requires a Data Scientist and Takes a Long Time to Implement Fact: While implementing Data Cloud involves ingesting, mapping data, running identity resolution, and generating insights, it does not necessarily require a data scientist. Skilled Salesforce Admins can often manage data integration from third-party applications. Effective Data Cloud implementation requires thorough planning and preparation, akin to prepping a room before painting. Identifying use cases and understanding data sources in advance can streamline the implementation process. Myth: Data Cloud is Expensive Fact: Data Cloud operates on a consumption-based pricing model. Engaging in strategic conversations with Salesforce Account Executives can help understand the financial implications. Emphasizing the value of a comprehensive data strategy and considering the five V’s of Big Data—Volume, Variety, Veracity, Value, and Velocity—ensures that your data supports meaningful business outcomes and KPIs. In Summary Salesforce Data Cloud represents a significant evolution in managing and leveraging data within your organization. It helps break down data silos, providing actionable insights to drive organizational goals. Despite initial misconceptions, implementing Data Cloud does not require extensive coding skills or a data scientist. Instead, thorough planning and preparation can streamline the process and maximize efficiency. Understanding the value of a comprehensive data strategy is crucial, as data becomes the new currency. Addressing the five V’s of Big Data ensures that your data supports meaningful business outcomes and KPIs. At Tectonic, our team of certified professionals is ready to assist you on this journey. We offer a Salesforce Implementation Solution package to help you get hands-on with the tool and explore its capabilities. Whether you need help understanding your data sources or defining use cases, our data practice can provide the expertise you need. Talk to Tectonic about Data Cloud and discover how our tailored solutions can help you harness the full potential of your data. 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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June 30, 2024in Salesforce Data Cloud
AI Safety and Responsibility
27Jun

AI Safety and Responsibility

The Future of AI: Balancing Innovation and Trust Authored by Justin Tauber, General Manager, Innovation and AI Culture at Salesforce, ANZ. AI Safety and Responsibility AI holds the promise of transforming business operations and freeing up our most precious resource: time. This is particularly beneficial for small businesses, where customer-facing staff must navigate a complex set of products, policies, and data with limited time and support. AI-assisted customer engagement can lead to more timely, personalized, and intelligent interactions. However, trust is paramount, and businesses must use AI power safely and ethically. The Trust Challenge According to the AI Trust Quotient, 89% of Australian office workers don’t trust AI to operate without human oversight, and 62% fear that humans will lose control of AI. Small businesses must build competence and confidence in using AI responsibly. Companies that successfully combine human and machine intelligence will lead in AI transformation. Building trust and confidence in AI requires focusing on the employee experience of AI. Employees should be integrated early into decision-making, output refinement, and feedback processes. Generative AI outcomes improve when humans are actively involved. Humans need to lead their partnership with AI, ensuring AI works effectively with humans at the helm. Strategies for Building Trust One strategy is to remind employees of AI’s strengths and weaknesses within their workflow. Showing confidence values — how much the model believes its output is correct — helps employees handle AI responses with the appropriate level of care. Lower-scored content can still be valuable, but human reviews provide deeper scrutiny. Prompt templates for staff ensure consistent inputs and predictable outputs. Explainability or citing sources for AI-generated content also addresses trust and accuracy issues. Another strategy focuses on use cases that enhance customer trust. The sweet spot is where productivity and trust-building benefits align. For example, generative AI can reassure customers that a product will arrive on time. AI in fraud detection and prevention is another area where AI can flag suspicious transactions for human review, improving the accuracy and effectiveness of fraud detection systems. Salesforce’s Commitment to Ethical AI Salesforce ensures that its AI solutions keep humans at the helm by respecting ethical guardrails in AI product development. Salesforce goes further by creating capabilities and solutions that lower the cost of responsible AI deployment and use. AI safety products help businesses use AI power without significant risks. Salesforce AI products are built with trust and reliability in mind, embodying Trustworthy AI principles to help customers deploy these products ethically. It’s unrealistic and unfair to expect employees, especially in SMBs, to refine every AI-generated output. Therefore, Salesforce provides businesses with powerful, system-wide controls and intuitive interfaces to make timely and responsible judgments about testing, refining responses, or escalating problems. Salesforce has invested in ethical AI for nearly a decade, focusing on principles, policies, and protections for itself and its customers. New guidelines for responsible generative AI development expand on core Trusted AI principles. Updated Acceptable Use Policy safeguards and the Einstein Trust layer protect customer data from external LLMs. Commitment to a Trusted AI Future While we’re still in the early days of AI, Salesforce is committed to learning and iterating in close collaboration with customers and regulators to make trusted AI a reality for all. Originally published in Smart Company. 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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June 27, 2024in Generative AI
Tableau Cloud Hyperforce
26Jun

Tableau Cloud Hyperforce

What to Know About Tableau Cloud Migration to Hyperforce Tableau Cloud is transitioning to Hyperforce, Salesforce’s next-generation infrastructure for the public cloud, in the second half of 2024. This shift promises enhanced security, scalability, and compliance, allowing customers to better manage data residency and adhere to local regulations. Here’s a closer look at what Hyperforce is, the benefits it brings to Tableau Cloud, and how to learn more about this significant upgrade. What is Hyperforce? Hyperforce is Salesforce’s advanced infrastructure architecture tailored for the public cloud. It marks a significant technological advancement, enabling applications to perform with greater security and efficiency. Unlike traditional hardware-dependent setups, Hyperforce is built on a foundation of code, allowing seamless deployment across global regions. This flexibility ensures effective data residency management and compliance with local laws. This might be a good time to consider moving to Tableau Cloud. Shifting workloads to software-as-a-service (SaaS) solutions has been an increasing priority for organizations for years. As we build for a world facing new economic challenges and uncertainty, executives have increasingly looked to Tableau Cloud, our SaaS offering, to help them develop their own competitive advantages, easily scale, and maximize efficiency. Flexera’s 2023 State of the Cloud reports that 51% of data is now in the public cloud, and nearly half of their survey respondents indicated their organization plans to move from on-premises software to SaaS. More and more organizations are turning to cloud solutions to reduce operational costs and drive their own digital transformation. Benefits of Tableau Cloud on Hyperforce When Tableau Cloud transitions to Hyperforce, customers will experience immediate benefits while retaining the familiar user experience and functionality. Here’s what to expect: Leveraging Salesforce Innovations Hyperforce enables Tableau Cloud to integrate more effectively with Salesforce’s existing innovations and integrations, fostering faster innovation. A notable example is Tableau Cloud Private Connect, which allows secure connections between Tableau Cloud and popular cloud data warehouses and lakes via a private connection, enhancing data transit security. Learning More About the Migration To delve deeper into Salesforce’s Hyperforce platform and the Tableau Cloud migration, refer to the Hyperforce FAQ and the Tableau Cloud Hyperforce Migration article. This migration marks an exciting phase for Tableau Cloud, promising unparalleled scalability, security, and compliance. The enhanced regional availability and compliance standards will enable more organizations worldwide to leverage Tableau Cloud, while the platform’s flexibility will spur faster AI-powered analytics innovations. For those interested in the technical details and implications of this transition, contact Tectonic today. Tableau Cloud is always on the latest version Tableau, which means you get access all of the innovations as soon as they’re available. That means all Tableau AI features that we develop are available to your data community right away. As transformational technologies like LLMs are integrated into Tableau Pulse, your teams can use them to stay up to date on all the most essential metrics immediately. 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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June 26, 2024in Hyperforce, Salesforce Optimization, Salesforce Tableau
Slack Integrating AI Into Platform
23Jun

Slack Integrating AI Into Platform

Slack’s CEO Denise Dresser announced that AI will soon be integrated into every aspect of the platform, enabling users to manage tasks and launch new projects without leaving the application. This announcement highlights a significant shift towards enhancing productivity and collaboration within Slack using advanced AI capabilities. Slack Integrating AI Into Platform. During a media session following her keynote at Salesforce’s World Tour event in Boston, Dresser outlined her vision for AI in Slack. Having taken on her role six months ago after years with Salesforce, she emphasized the integration of Slack with Salesforce’s Einstein Copilot. Acquired by Salesforce in late 2020, Slack aims to provide a unified experience for users by leveraging AI to manage both structured and unstructured data. The goal is to help users quickly find key conversations and turn them into actionable tasks and projects. Dresser noted the challenges in navigating chat histories and identifying important moments, which AI integration aims to address. Slack Integrating AI Into Platform “AI can significantly drive productivity,” Dresser said. “With Slack AI Search, Slack becomes your organization’s long-term memory. It allows users to easily find what they need through generative summaries, which was a major breakthrough for us.” Dresser highlighted the rapid adoption of AI and its integration into Slack’s functionality, leading to an evolution in skills such as prompt engineering and natural language processing. These advancements enable tasks like software creation without traditional coding methods. She pointed out the rapid growth in AI adoption, comparing it to the adoption rates of ChatGPT, mobile phones, and Facebook. Dresser believes this trend will continue as people experience productivity improvements with AI. AI will be embedded in various Slack features, including Canvas, Workflow, and Huddle, providing seamless assistance within the application. Users may not even realize they are interacting with AI, as it will naturally enhance Slack’s functionality. For instance, instead of manually searching through messages, AI will highlight the most important summaries. Dresser also mentioned the newly launched Slack Lists feature, which automatically captures and surfaces key parts of channel conversations. She stressed the importance of reducing the need to switch between different applications, which can drain time and productivity. “We have millions of people working in Slack; why leave Slack?” she said. “We wanted to integrate capabilities for tasks, lists, and projects directly into Slack, starting right within conversations.” In the future, Slack will also suggest relevant chat channels for project purposes, providing users with powerful insights and capabilities. Dresser noted that while only about a third of employees currently use AI-powered platforms, those who do report an average 81% increase in productivity by eliminating mundane tasks. As AI continues to be embedded into Slack and Salesforce tools, Dresser acknowledged the challenge of maintaining the platform’s beloved feel and integrity. “We’ve already integrated Slack, Sales Elevate, and Salesforce. Copilot’s integration will be excellent,” she said. “We have focused on preserving the unique Slack experience, even while enhancing it with new architectural integrations. Our goal is to ensure that Slack remains efficient and productive while staying true to its core identity.” 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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June 23, 2024in Salesforce Einstein, Salesforce Slack
Requirements Engineering
21Jun

Requirements Engineering

Every project needs clear requirements. No exceptions. Without them, a project turns into a group of people standing around, unsure of what to do, essentially making things up as they go. This scenario may sound familiar to anyone who has been involved in disorganized projects. What are requirements? According to the Association for Project Management (APM), “Requirements are the wants and needs of stakeholders clearly defined with acceptance criteria.” Requirements engineering is the process for managing the entire lifecycle of these needs and involves five key stages: Let’s dive deeper into these stages: 1. Requirements Elicitation Sometimes, the term “requirements capture” is used, as if stakeholders’ needs are floating around, waiting to be caught. However, requirements are not passively waiting; they must be actively elicited. Elicitation Methods: Eliciting requirements involves interpreting genuine needs, not just compiling a wish list of requested features. 2. Requirements Analysis Once you’ve gathered a set of requirements, it’s time for analysis to ensure they are comprehensive, feasible, and aligned with the project’s objectives. This phase is crucial because 80% of project errors occur during the requirements phase, yet it often receives less than 20% of a project’s time. Key steps include: 3. Requirements Documentation After analyzing requirements, document them clearly to communicate with stakeholders and developers. A good requirements document typically includes: One popular method for documenting requirements is through user stories, which frame requirements from the user’s perspective: User stories focus on meeting user needs rather than prescribing technical specifications. 4. Requirements Validation The next step is validating your documented requirements. This ensures they accurately represent what users and stakeholders need. Validation methods include: Validation is essential to ensure requirements are complete, realistic, and verifiable. 5. Requirements Management The final phase involves tracking and managing changes to requirements throughout the project. Key Concepts: Agile frameworks often rely on iterative approaches, where product owners manage changes during sprint reviews and retrospectives. Summary Requirements engineering consists of five interdependent stages: elicitation, analysis, documentation, validation, and management. While these concepts may seem detailed, they offer a structured framework that’s essential for delivering high-quality solutions. By following this approach, even smaller, lower-risk digital projects can benefit from clear and actionable requirements. 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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June 21, 2024in Salesforce
Agentic AI is Here
20Jun

Agentic AI is Here

Embracing the Era of Agentic AI: Redefining Autonomous Systems A new paradigm in artificial intelligence, known as “Agentic Artificial Intelligence,” is poised to revolutionize the capabilities of the known autonomous universe. This cutting-edge technology represents a significant leap forward in AI-driven decision-making and action, promising transformative impacts across various industries including healthcare, manufacturing, IT, finance, marketing, and HR. Agents are the way to go! There is no two ways about this. Looking into the progression of the Large Language Model based applications since last year, its not hard to see that the Agentic Process (agents as reusable, specific and dedicated single unit of work) — would be the way to build Gen AI applications. What is Agentic AI? Agentic Artificial Intelligence marks a departure from traditional AI models that primarily focus on passive observation and analysis. Unlike its predecessors, which often require human intervention to execute tasks, Agentic AI systems possess the autonomy to initiate actions independently based on their assessments. This allows them to navigate much more complex environments and undertake tasks with a level of initiative and adaptability previously unseen. At least outside of sci-fy movies. Real-World Applications of Agentic Artificial Intelligence Healthcare In healthcare, Agentic AI systems are transforming patient care. These systems autonomously monitor vital signs, administer medication, and assist in surgical procedures with unparalleled precision. By augmenting healthcare professionals’ capabilities, these AI-driven agents enhance patient outcomes and streamline care processes. Augmenting is the key word, here. Manufacturing and Logistics In manufacturing and logistics, Agentic AI optimizes operations and boosts efficiency. Intelligent agents handle predictive maintenance of machinery, autonomous inventory management, and robotic assembly. Leveraging advanced algorithms and sensor technologies, these systems anticipate issues, coordinate complex workflows, and adapt to real-time production demands, driving a shift towards fully autonomous production environments. Customer Service Within enterprises, AI agents are revolutionizing business operations across various departments. In customer service, AI-powered chatbots with Agentic Artificial Intelligence capabilities engage with customers in natural language, providing personalized assistance and resolving queries efficiently. This enhances customer satisfaction and allows human agents to focus on more complex tasks. Marketing and Sales Agentic Artificial Intelligence empowers marketing and sales teams to analyze vast datasets, identify trends, and personalize campaigns with unprecedented precision. By understanding customer behavior and preferences at a granular level, AI agents optimize advertising strategies, maximize conversion rates, and drive revenue growth. Finance and Accounting In finance and accounting, Agentic AI streamlines processes like invoice processing, fraud detection, and risk management. These AI-driven agents analyze financial data in real time, flag anomalies, and provide insights that enable faster, more informed decision-making, thereby improving operational efficiency. Ethical Considerations of Agentic Artificial Intelligence The rise of Agentic AI also brings significant ethical and societal challenges. Concerns about data privacy, algorithmic bias, and job displacement necessitate robust regulation and ethical frameworks to ensure responsible and equitable deployment of AI technologies. Navigating the Future with Agentic AI The advent of Agentic AI ushers in a new era of autonomy and innovation in artificial intelligence. As these intelligent agents permeate various facets of our lives and enterprises, they present both challenges and opportunities. To navigate this new world, we must approach it with foresight, responsibility, and a commitment to harnessing technology for the betterment of humanity. 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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June 20, 2024in Artificial Intelligence, Data, Enterprise, Marketing Automation, Salesforce, Salesforce Health and Life Sciences Solutions, Salesforce Hospitality Travel and Transportation, Salesforce Public Sector Solutions, Salesforce Sales Cloud, Technology
Time to Reset AI Expectations
17Jun

Time to Reset AI Expectations

AI is often portrayed as either the ultimate solution to all our problems or a looming threat that must be handled with extreme caution. These are the two polar extremes of a debate that surrounds any transformative technology, and the reality likely lies somewhere in the middle. Time to Reset AI Expectations. At the recent 2024 MIT Sloan CIO Symposium, AI was the central theme, with numerous keynotes and panels devoted to the topic. The event also featured informal roundtable discussions that touched on legal risks in AI deployment, AI as a driver for productivity, and the evolving role of humans in AI-augmented workplaces. Time to Reset AI Expectations A standout moment was the closing keynote, “What Works and Doesn’t Work with AI,” delivered by MIT professor emeritus Rodney Brooks. Brooks, who directed the MIT AI Lab from 1997 to 2003 and was the founding director of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) until 2007, offered insights to distinguish between the hype and reality of AI. A seasoned robotics entrepreneur, Brooks founded several companies, including iRobot, Rethink Robotics, and Robust.AI. In his keynote, Brooks introduced his “Three Laws of Artificial Intelligence,” which serve to ground our understanding of AI: Brooks reminded the audience that AI has been a formal academic discipline since the 1950s when its pioneers believed that nearly every aspect of human intelligence could, in principle, be encoded as software and executed by increasingly powerful computers. Decades of Efforts In the 1980s, leading AI researchers were confident that within a generation, AI systems capable of human-like cognitive abilities could be developed. They secured government funding to pursue this vision. However, these projects underestimated the complexities of replicating human intelligence, particularly cognitive functions like language, thinking, and reasoning, in software. After years of unmet expectations, these ambitious projects were largely abandoned, leading to the so-called AI winter—a period of reduced interest and funding in AI. AI experienced a resurgence in the 1990s with a shift towards a statistical approach that analyzed patterns in vast amounts of data using sophisticated algorithms and high-performance supercomputers. This data-driven approach yielded results that approximated intelligence and scaled far better than the earlier programming-based models. Over the next few decades, AI achieved significant milestones, including Deep Blue’s 1997 victory over chess grandmaster Garry Kasparov, Watson’s 2011 win in the Jeopardy! Challenge, and AlphaGo’s 2016 triumph over Lee Sedol, one of the world’s top Go players. AI also made strides in autonomous vehicles, as evidenced by the successful completion of the 2007 DARPA Grand Challenge and the 2012 DARPA Robotics Challenge for disaster response robots. Is It Different Now? Following these achievements, AI seemed poised to “change everything,” according to Brooks. But is it really? Since 2017, Brooks has published an annual Predictions Scorecard, comparing predictions for future milestones in robotics, AI, machine learning, self-driving cars, and human space travel. “I made my predictions because, then as now, I saw an immense amount of hype surrounding these topics,” Brooks said. He observed that the media and public were making premature conclusions about the impact of AI on jobs, road safety, space exploration, and more. “My predictions, complete with timelines, were meant to temper expectations and inject some reality into what I saw as irrational exuberance.” So why have so many AI predictions missed the mark? Brooks, who has a penchant for lists, attributes this to what he calls the Seven Deadly Sins of Predicting the Future of AI. In a 2017 essay, he described these “sins”: The takeaway? While AI has made remarkable progress, there’s still a long journey ahead. It’s Time to Reset AI Expectations. 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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June 17, 2024in Salesforce
AI-Powered Smarter Media
10Jun

AI-Powered Smarter Media

Transforming Retail Media: Personalization and Faster Monetization with Smarter Media Dentsu, a leading growth and transformation partner, has announced a strategic collaboration with Salesforce, the world’s #1 AI-powered CRM, to launch Smarter Media—an innovative solution designed to accelerate retail media monetization through personalized buying experiences powered by AI. Why Smarter Media Matters With shifting consumer priorities, personalized retail experiences are more critical than ever. Salesforce research highlights that: Smarter Media addresses this growing demand by enabling retailers to quickly adapt, offering tailored buying experiences that strengthen customer loyalty while driving revenue. What is Smarter Media? Smarter Media combines the power of Salesforce’s ecosystem—including Media Cloud, Sales Cloud, and Marketing Cloud Engagement—to deliver an end-to-end retail media solution. The platform assesses a brand’s retail media maturity, identifies gaps, and creates a roadmap to optimize media, technology, and skills. The solution simplifies access to advanced media technology, empowering brands to connect with customers 24/7, expand their customer base, and nurture long-term relationships. Key Features and Benefits 1. Comprehensive Assessment 2. AI-Powered Personalization 3. Built for Retail Media Success 4. Quick and Easy Adoption How Smarter Media Works Smarter Media combines Salesforce Sales Cloud’s leading sales and pipeline management tools with Media Cloud’s Advertising Sales Management application. The result is a solution that seamlessly supports both simple and complex retailer models: Real-World Value Across Retail By addressing challenges like fragmented media strategies and inaccessible technology, Smarter Media delivers transformative value for retailers: Driving Innovation Together Paul Lynch, Integrated Solutions Lead for Commerce and Retail at Dentsu UK&I, shared: “Smarter Media will democratize cutting-edge technology for brands by providing a one-stop solution to create personalized buying experiences. In today’s experience economy, maintaining compelling customer relationships has never been more vital.” Christopher Dean, SVP and GM for Communications, Media & Entertainment at Salesforce, added: “By combining Salesforce Media Cloud’s industry-specific solutions with Dentsu’s creative retail media expertise, we’re making advanced media technology accessible for retailers, helping them thrive in a competitive market.” The Future of Retail Media Smarter Media from Dentsu and Salesforce offers a transformative approach to retail media, empowering brands to deliver personalized experiences, improve customer loyalty, and accelerate revenue growth—all while leveraging cutting-edge AI and automation. With its ability to deliver value in just six months, Smarter Media is the ultimate solution for retailers looking to succeed in today’s fast-paced, customer-centric market. 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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June 10, 2024in Data, Salesforce, Salesforce Media Cloud, Technology
AI Tools for Automation
07Jun

AI Tools for Automation

Revolutionizing QA Testing: Top 10 AI Tools for Automation Artificial intelligence (AI) is transforming many aspects of our daily lives and professional environments, and its impact on Quality Assurance (QA) testing is particularly groundbreaking. While AI applications in areas like photo-to-anime converters gain attention, its role in automating QA testing processes is truly revolutionary. In this article, we’ll explore the top 10 AI tools that are changing the game in QA automation. AI Tools for Automation. Why Use AI in QA Testing? AI is a game-changer in QA testing, streamlining processes that were once manual and time-consuming. It enhances efficiency by optimizing test scenarios, predicting defects, and automating test creation and execution. Although manual testing remains important, AI tools are becoming crucial for achieving more accurate and efficient QA processes. Top 10 AI Testing Tools Here’s a curated list of the top 10 AI tools for test automation. Choosing the Right AI Tool To select the best AI testing tool for your needs, follow these steps: Conclusion AI is transforming QA testing by reducing preparation time, improving accuracy, and enhancing software quality. By leveraging the AI tools outlined above, you can optimize your testing processes and achieve superior results. For expert QA assistance and a detailed product testing estimate, contact our professional team. 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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June 7, 2024in Salesforce
Salesforce Field Service Lightning
02Jun

Salesforce Field Service Lightning

Many companies worldwide seek quality services associated with Salesforce Field Service Lightning (FSL) to differentiate between lacking customer experiences and excellent ones. Satisfied customers associate such services with high-quality ratings, gradually building trust with the company and recommending it to others. The ability of any business to generate successful recognition and experience with clients helps establish an invaluable competitive advantage. Salesforce Field Service Lightning We are here to assist you in mapping and quoting various FSL Salesforce services such as equipment installation, repair, general customer service management, and maintenance. Field Service technicians, also known as mobile technicians, play a crucial role in delivering these tasks. They receive notifications on mobile devices and quickly find users in need of speedy solutions to their problems. What is Salesforce Field Service? Salesforce Field Service (formerly known as Field Service Lightning) is designed for the automation and optimization of work offered by dispatchers and field service agents. It ensures that no employee sacrifices any functionality of the related services when working outside the company. This system is part of the FSL Salesforce Service Cloud and aims to create a seamless workflow and avoid mistakes with the help of service technicians. Integral Parts of Salesforce Field Service After implementing Salesforce Field Service Lightning, clients can immediately see the benefits reflected in the increased efficiency of developed services. Advantages of Salesforce Field Service Lightning Bottom Line We hope this comprehensive guide on Salesforce Field Service Lightning has provided valuable insights into its aspects and benefits. Our experienced executives offer valuable advice and risk-free solutions for managing projects involving field service. You can contact Tectonic 24/7 for error removal and maintaining Salesforce FSL service deployments. Tasks such as project management and exception diagnosis are easily handled with the Service Cloud platform. We offer a strong framework for different service models and prepare reports for various service territory designs, ensuring a seamless and efficient operation. 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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June 2, 2024in Salesforce Service Cloud
Salesforce Solutions for Defense
01Jun

Salesforce Solutions for Defense

Defence Technology Solutions from Salesforce: Enabling Secure, Mission-Critical Operations Salesforce provides defense organizations with powerful technology solutions to deliver on their missions quickly and securely. By increasing IT flexibility, enhancing productivity, and safeguarding sensitive data in a secure, compliant cloud environment, Salesforce empowers defence organizations to achieve mission success with confidence. Salesforce Solutions for Defense. Modernizing Personnel Operations Salesforce streamlines workforce management and accelerates employee operations, providing a unified view of personnel and fast, digital workflows. Public sector organizations can transform hiring, recruiting, HR actions, IT requests, and employee services within a trusted operational hub. How It Works: Salesforce enhances productivity and digitizes government employee tasks throughout their lifecycle, from hire to retirement. Maximizing IT Agility Salesforce enables defence organizations to unlock data from legacy systems, cloud applications, and third-party platforms with an API-led approach, securely bridging on-premises and cloud environments. Rapid application development, consolidation, and system access become seamless with Salesforce’s low-code/no-code tools. How It Works: Salesforce compresses development cycles and increases flexibility, enabling defense organizations to deliver on mission objectives faster. Salesforce Solutions for Defense Delivering Successful Case Outcomes Salesforce supports the full case management lifecycle by integrating critical data points from multiple systems into a single, unified view. Defense organizations can empower caseworkers with purpose-built tools, ensuring successful case outcomes while reducing information silos and providing clients with the necessary support. How It Works: Salesforce creates a single source of truth for case management, enabling defense organizations to streamline workflows and improve service outcomes. By leveraging Salesforce’s defense technology solutions, organizations can modernize operations, maximize agility, and ensure successful case management outcomes, all while maintaining the highest levels of security and compliance. Salesforce Solutions for Defense from Tectonic. 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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June 1, 2024in Public Sector Solutions, Salesforce Development Services, Salesforce Government Cloud, Salesforce Implementation Services, Salesforce Managed Services, Salesforce Public Sector Solutions
Salesforce Revenue Lifecycle
28May

Salesforce Revenue Lifecycle

Revenue Lifecycle Management (RLM) with Revenue Cloud empowers businesses to drive profitable growth by automating the entire product-to-cash process. From managing product catalogs and pricing to order fulfillment and billing, RLM streamlines operations and accelerates revenue generation. Salesforce Revenue Lifecycle. Here’s how businesses can leverage RLM for efficient revenue lifecycle management: Additionally, RLM is available in Lightning Experience and requires a Revenue Lifecycle Management license in Sales Cloud and Service Cloud for Enterprise, Unlimited, and Developer editions. Key features of RLM include: As businesses navigate the subscription economy, RLM offers a scalable, flexible, and efficient omni-channel platform for transacting revenue. By addressing growth, churn reduction, and profitability gains, RLM empowers organizations to scale and grow, leveraging modular components and APIs to support various sales motions and use cases. With ongoing innovation and industry expertise, Salesforce and partners like Tectonic are committed to helping subscription companies achieve profitable and efficient growth with Revenue Cloud and Revenue Lifecycle Management. 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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May 28, 2024in Salesforce, Salesforce Sales Cloud
Salesforce for Manufacturing Operational Efficiency
24May

Salesforce for Manufacturing Operational Efficiency

Shopping with distributors offers a distinct advantage in the form of personalized guidance throughout the purchasing journey, nurturing enduring relationships and encouraging repeat business. While distributors excel in delivering tailored service, digital-native rivals such as Amazon leverage operational efficiency to vie in today’s marketplace. As B2B preferences veer towards remote transactions and omnichannel experiences, distributors lagging in digitalization encounter hurdles. Salesforce for Manufacturing Operational Efficiency Manufacturing operational efficiency, while vital, cannot overshadow the significance of personalized service for customers. Traditional distributors hold a formidable competitive edge in this aspect. However, their reliance on antiquated, non-digitalized processes impedes effective competition. Distributors must confront these inefficiencies and embrace innovative technology to flourish. Conventional distributors often rely on disparate systems like spreadsheets and sticky notes, resulting in disjointed customer experiences. Siloed data leads to quote disparities, communication breakdowns, and a dearth of omnichannel capabilities. To retain competitiveness, distributors must transition to digital platforms that centralize data and streamline operations. Digital transformation in manufacturing is possible with Salesforce Manufacturing Cloud. Salesforce for Manufacturing Operational Efficiency with Manufacutring Cloud Salesforce Manufacturing Cloud emerges as a solution to these challenges. By consolidating all information within a centralized system, Salesforce empowers distributors to deliver seamless customer experiences across various channels. This eradicates confusion, ensures consistent communication, and elevates service quality. With Salesforce, distributors can provide exemplary service, nurturing customer loyalty and outpacing the competition. 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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May 24, 2024in Data, Salesforce, Salesforce Manufacturing Cloud, Technology

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