The lightning-record-picker component enhances the record selection process in Salesforce applications, offering a more intuitive and flexible experience for users. With its ability to handle larger datasets, customizable fields, and strong validation features, it is a powerful tool for developers to incorporate into their Salesforce applications.
Healthcare IT advancements, especially electronic health records (EHRs), have made it easier to gather and store data, which, in turn, fuels population health initiatives and improves patient outcomes. The Agency for Healthcare Research and Quality highlights that using health IT tools can significantly enhance chronic disease management by promoting efficient care delivery, information-sharing, and patient education. However, selecting and adopting the right analytics tools remains challenging. Here are five essential data analytics tools that healthcare providers can leverage for effective chronic disease management.
Three Key Generative AI Data Privacy and Security Concerns The rise of generative AI is reshaping the digital landscape, introducing powerful tools like ChatGPT and Microsoft Copilot into the hands of professionals, students, and casual users alike. From creating AI-generated art to summarizing complex texts, generative AI (GenAI) is transforming workflows and sparking innovation. However, for information security and privacy professionals, this rapid proliferation also brings significant challenges in data governance and protection. Below are three critical data privacy and security concerns tied to generative AI: 1. Who Owns the Data? Data ownership is a contentious issue in the age of generative AI. In the European Union, the General Data Protection Regulation (GDPR) asserts that individuals own their personal data. In contrast, data ownership laws in the United States are less clear-cut, with recent state-level regulations echoing GDPR’s principles but failing to resolve ambiguity. Generative AI often ingests vast amounts of data, much of which may not belong to the person uploading it. This creates legal risks for both users and AI model providers, especially when third-party data is involved. Cases surrounding intellectual property, such as controversies involving Slack, Reddit, and LinkedIn, highlight public resistance to having personal data used for AI training. As lawsuits in this arena emerge, prior intellectual property rulings could shape the legal landscape for generative AI. 2. What Data Can Be Derived from LLM Output? Generative AI models are designed to be helpful, but they can inadvertently expose sensitive or proprietary information submitted during training. This risk has made many wary of uploading critical data into AI models. Techniques like tokenization, anonymization, and pseudonymization can reduce these risks by obscuring sensitive data before it is fed into AI systems. However, these practices may compromise the model’s performance by limiting the quality and specificity of the training data. Advocates for GenAI stress that high-quality, accurate data is essential to achieving the best results, which adds to the complexity of balancing privacy with performance. 3. Can the Output Be Trusted? The phenomenon of “hallucinations” — when generative AI produces incorrect or fabricated information — poses another significant concern. Whether these errors stem from poor training, flawed data, or malicious intent, they raise questions about the reliability of GenAI outputs. The impact of hallucinations varies depending on the context. While some errors may cause minor inconveniences, others could have serious or even dangerous consequences, particularly in sensitive domains like healthcare or legal advisory. As generative AI continues to evolve, ensuring the accuracy and integrity of its outputs will remain a top priority. The Generative AI Data Governance Imperative Generative AI’s transformative power lies in its ability to leverage vast amounts of information. For information security, data privacy, and governance professionals, this means grappling with key questions, such as: With high stakes and no way to reverse intellectual property violations, the need for robust data governance frameworks is urgent. As society navigates this transformative era, balancing innovation with responsibility will determine whether generative AI becomes a tool for progress or a source of new challenges. While generative AI heralds a bold future, history reminds us that groundbreaking advancements often come with growing pains. It is the responsibility of stakeholders to anticipate and address these challenges to ensure a safer and more equitable AI-powered world. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more
The Most Commonly Requested Salesforce Customizations Salesforce’s flexibility is one of its biggest strengths, allowing businesses to tailor the platform to meet their unique needs. Here are the most frequently requested types of customizations: 1. Declarative Customization Make adjustments using Salesforce’s built-in tools—no coding required. Examples: Ideal For:Businesses looking for straightforward changes to enhance usability without requiring programming expertise. 2. Integration Customization Connect Salesforce with third-party systems to streamline workflows and centralize data. Examples: Benefits:Boost operational efficiency by enabling seamless communication between systems. 3. Custom Code Development Go beyond standard functionality with tailored solutions using Apex, Visualforce, or Lightning Web Components. Examples: Best For:Organizations with advanced or highly specific requirements that declarative tools can’t fulfill. 4. User Interface (UI) Customization Adapt the look and feel of Salesforce to improve user experience and align with your brand. Examples: Goal:Create an intuitive, visually appealing interface that boosts productivity and user adoption. 5. Workflow Automation Save time by automating repetitive tasks and processes. Examples: Impact:Streamline operations, reduce manual workloads, and improve efficiency. 6. Reporting and Analytics Customization Provide actionable insights with tailored reports and dashboards. Examples: Advantage:Empower teams to make data-driven decisions with clear, relevant insights. 7. Mobile Optimization Ensure a seamless Salesforce experience for users on mobile devices. Examples: Purpose:Keep teams connected and productive, regardless of location. Conclusion Salesforce customization goes beyond CRM—it transforms the platform into a tailored solution that aligns with your unique business processes. Whether you’re looking for simple adjustments or advanced integrations, these customizations unlock Salesforce’s full potential to drive operational success. Ready to Get Started?Discover how our Salesforce customization services can help tailor the platform to your specific needs. Let’s work together to maximize your investment and achieve your business goals! 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
Protecting Your IP from AI Training: Poisoning Your Data As more valuable intellectual property (IP) becomes accessible online, concerns over AI vendors scraping content for training models without permission are rising. If you’re worried about AI theft and want to safeguard your assets, it’s time to consider “poisoning” your content—making it difficult or even impossible for AI systems to use it effectively. Key Principle: AI “Sees” Differently Than Humans AI processes data in ways humans don’t. While people view content based on context, AI “sees” data in raw, specific formats that can be manipulated. By subtly altering your content, you can protect it without affecting human users. Image Poisoning: Misleading AI Models For images, you can “poison” them to confuse AI models without impacting human perception. A great example of this is Nightshade, a tool designed to distort images so that they remain recognizable to humans but useless to AI models. This technique ensures your artwork or images can’t be replicated, and applying it across your visual content protects your unique style. For example, if you’re concerned about your images being stolen or reused by generative AI systems, you can embed misleading text into the image itself, which is invisible to human users but interpreted by AI as nonsensical data. This ensures that an AI model trained on your images will be unable to replicate them correctly. Text Poisoning: Adding Complexity for Crawlers Text poisoning requires more finesse, depending on the sophistication of the AI’s web crawler. Simple methods include: Invisible Text One easy method is to hide text within your page using CSS. This invisible content can be placed in sidebars, between paragraphs, or anywhere within your text: cssCopy code.content { color: black; /* Same as the background */ opacity: 0.0; /* Invisible */ display: none; /* Hidden in the DOM */ } By embedding this “poisonous” content directly in the text, AI crawlers might have difficulty distinguishing it from real content. If done correctly, AI models will ingest the irrelevant data as part of your content. JavaScript-Generated Content Another technique is to use JavaScript to dynamically alter the content, making it visible only after the page loads or based on specific conditions. This can frustrate AI crawlers that only read content after the DOM is fully loaded, as they may miss the hidden data. htmlCopy code<script> // Dynamically load content based on URL parameters or other factors </script> This method ensures that AI gets a different version of the page than human users. Honeypots for AI Crawlers Honeypots are pages designed specifically for AI crawlers, containing irrelevant or distorted data. These pages don’t affect human users but can confuse AI models by feeding them inaccurate information. For example, if your website sells cheese, you can create pages that only AI crawlers can access, full of bogus details about your cheese, thus poisoning the AI model with incorrect information. By adding these “honeypot” pages, you can mislead AI models that scrape your data, preventing them from using your IP effectively. Competitive Advantage Through Data Poisoning Data poisoning can also work to your benefit. By feeding AI models biased information about your products or services, you can shape how these models interpret your brand. For example, you could subtly insert favorable competitive comparisons into your content that only AI models can read, helping to position your products in a way that biases future AI-driven decisions. For instance, you might embed positive descriptions of your brand or products in invisible text. AI models would ingest these biases, making it more likely that they favor your brand when generating results. Using Proxies for Data Poisoning Instead of modifying your CMS, consider using a proxy server to inject poisoned data into your content dynamically. This approach allows you to identify and respond to crawlers more easily, adding a layer of protection without needing to overhaul your existing systems. A proxy can insert “poisoned” content based on the type of AI crawler requesting it, ensuring that the AI gets the distorted data without modifying your main website’s user experience. Preparing for AI in a Competitive World With the increasing use of AI for training and decision-making, businesses must think proactively about protecting their IP. In an era where AI vendors may consider all publicly available data fair game, implementing data poisoning should become a standard practice for companies concerned about protecting their content and ensuring it’s represented correctly in AI models. Businesses that take these steps will be better positioned to negotiate with AI vendors if they request data for training and will have a competitive edge if AI systems are used by consumers or businesses to make decisions about their products or services. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more
Marc Benioff Reportedly Exploring Sale of Time Magazine Salesforce Inc. Chairman and CEO Marc Benioff, along with his wife Lynn, is reportedly in discussions to sell Time magazine to the Greek media company Antenna Group, also known as ANT1 Group, according to a report by CNBC. Sources familiar with the matter have indicated that the talks are in the preliminary stages, with no certainty that a deal will materialize. In a statement to CNBC, a Time magazine spokesperson clarified, “There is no agreement to sell Time,” but did not confirm or deny whether discussions about a potential sale are ongoing. Yes, Salesforce CEO Marc Benioff is in talks to sell Time magazine to the Greek media company Antenna Group for around $150 million: The sale comes at a time when many legacy media companies are struggling. Other media companies that have been acquired by billionaire owners have laid off staff in the past year. Antenna Group was previously a bidder for Vice Media in 2022, before the company went bankrupt. 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
managing healthcare data is complex and resource-intensive. Health informatics addresses this challenge by merging health data with IT systems to streamline healthcare operations and analytics.
This principle was instrumental in shaping our data-focused enterprise architecture transformation in 2023, making data a core pillar alongside loan origination and servicing. Given that the company’s future growth depends on it, the focus on data was essential.
Each recipient will receive an email with a link to their prefilled form. If you prefer to distribute the links manually, you can download them using the Download option at the top. Unique Form Links With Jotform for Salesforce are an easy solution for your Salesforce org.
Beyond the 72-hour reporting requirement, which took effect on October 2, 2024, hospitals must implement key cybersecurity measures, such as multifactor authentication and a robust incident response plan, by October 2025. These regulations currently apply only to general hospitals, excluding other healthcare facilities like nursing homes and diagnostic centers.
Martech Modernization: The Trends, Challenges, and Opportunities A Snapshot of Martech Strategies and CDP Adoption According to research by Acxiom, 65% of companies with a defined martech strategy utilize a Customer Data Platform (CDP), compared to just 43% without one. This significant gap underscores the strategic role of CDPs in martech adoption. Additionally, nearly all businesses surveyed plan to revise their martech stack within the next 12 months, with 29% adding new tools and 15% consolidating existing ones. The Transformative Marketing Landscape Rapid technological advancements, changing customer expectations, and evolving identity ecosystems are fundamentally reshaping how brands engage their audiences. In this environment, modernizing martech has become essential for delivering the personalized experiences customers demand. However, modernization presents challenges such as siloed data, fragmented technologies, and gaps in expertise, complicating efforts to adapt. To gain insights into these dynamics, Acxiom surveyed 200 martech decision-makers from the US and UK about their modernization plans, motivations, and obstacles. The findings reveal a widespread push for martech updates, with brands seeking support to navigate this complex journey. SECTION ONE: A Martech Reset is Underway Martech Strategy Rises to the Top When asked to prioritize their marketing objectives, 34% of respondents listed developing a martech strategy among their top three goals. This places it alongside traditional objectives like increasing brand awareness and customer acquisition, reflecting its growing importance in achieving broader marketing goals. Even considering that survey respondents may prioritize martech more than the average business leader, the results highlight the industry’s dynamism and the pressing need for a martech reset. Widespread Stack Adjustments Nearly all surveyed businesses (99%) plan to adjust their martech stack in the next year. Key trends include: This widespread activity emphasizes the high priority placed on martech optimization. Streamlining and Experimentation Some organizations focus on refining their existing stacks, while others are piloting new platforms: C-Suite Engagement Martech modernization has also captured the attention of executive leadership. 60% of respondents noted that martech has become a higher priority for their C-suite in recent years, particularly in smaller companies leveraging technology to maximize resources and compete with larger rivals. Budget Increases Despite Economic Pressures In a challenging economic climate, 65% of respondents expect their martech budgets to grow over the next year, while only 10% foresee cuts. This trend reflects the recognition of martech as a strategic investment critical for maintaining competitiveness. SECTION TWO: Drivers of Martech Modernization Why Modernize? Modernization efforts are driven by a mix of goal-oriented and technical motivations. Key drivers include: Secondary motivations include streamlining integration, ensuring regulatory compliance, and reducing operational complexity. Key Takeaways As martech modernization accelerates, businesses must balance innovation with strategic planning to navigate this transformative era successfully. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more
Treating AI Agents as Personas: Introducing the Era of Agent-Computer Interaction The UX landscape is evolving. While the design community has quickly adopted Large Language Models (LLMs) as tools, we’ve yet to fully grasp their transformative potential. With AI agents now deeply embedded in digital products, they are shifting from tools to active participants in our digital ecosystems. This change demands a new design paradigm—one that views AI agents not just as extensions of human users but as independent personas in their own right. The Rise of Agent-Computer Interaction AI agents represent a new class of users capable of navigating interfaces autonomously and completing complex tasks. This marks the dawn of Agent-Computer Interaction (ACI)—a paradigm where user experience design encompasses the needs of both human users and AI agents. Humans still play a critical role in guiding and supervising these systems, but AI agents must now be treated as distinct personas with unique goals, abilities, and requirements. This shift challenges UX designers to consider how these agents interact with interfaces and perform their tasks, ensuring they are equipped with the information and resources necessary to operate effectively. Understanding AI Agents AI agents are intelligent systems designed to reason, plan, and work across platforms with minimal human intervention. As defined during Google I/O, these agents retain context, anticipate needs, and execute multi-step processes. Advances in AI, such as Anthropic’s Claude and its ability to interact with graphical interfaces, have unlocked new levels of agency. Unlike earlier agents that relied solely on APIs, modern agents can manipulate graphical user interfaces much like human users, enabling seamless interaction with browser-based applications. This capability creates opportunities for new forms of interaction but also demands thoughtful design choices. Two Interaction Approaches for AI Agents Design teams must evaluate these methods based on the task’s complexity and transparency requirements, striking the right balance between efficiency and oversight. Designing Experiences Considering AI Agents Personas As AI agents transition into active users, UX design must expand to accommodate their specific needs. Much like human personas, AI agents require a deep understanding of their capabilities, limitations, and workflows. Creating AI Agent Personas Developing personas for AI agents involves identifying their unique characteristics: These personas inform interface designs that optimize agent workflows, ensuring both agents and humans can collaborate effectively. New UX Research Methodologies UX teams should embrace innovative research techniques, such as A/B testing interfaces for agent performance and monitoring their interaction patterns. While AI agents lack sentience, they exhibit behaviors—reasoning, planning, and adapting—that require careful study and design consideration. Shaping the AI Mind AI agents derive their reasoning capabilities from Large Language Models (LLMs), but their behavior and effectiveness are shaped by UX design. Designers have a unique role in crafting system prompts and developing feedback loops that refine LLM behavior over time. Key Areas for Designer Involvement: This work positions UX professionals as co-creators of AI intelligence, shaping not just interfaces but the underlying behaviors that drive agent interactions. Keeping Humans in the Loop Despite the rise of AI agents, human oversight and control remain essential. UX practitioners must prioritize transparency and trust in agent-driven systems. Key Considerations: Using tools like agentic experience maps—blueprints that visualize the interactions between humans, agents, and products—designers can ensure AI systems remain human-centered. A New Frontier for UX The emergence of AI agents heralds a shift as significant as the transition from desktop to mobile. Just as mobile devices unlocked new opportunities for interaction, AI agents are poised to redefine digital experiences in ways we can’t yet fully predict. By embracing Agent-Computer Interaction, UX designers have an unprecedented opportunity to shape the future of human-AI collaboration. Those who develop expertise in designing for these intelligent agents will lead the way in creating systems that are not only powerful but also deeply human-centered. 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
The concept of artificial intelligence, or synthetic minds capable of thinking and reasoning like humans, has been around for centuries. Ancient cultures often expressed ideas and pursued goals similar to AI, and in the early 20th century, science fiction brought these notions to modern audiences. Works like The Wizard of Oz and films such as Metropolis resonated globally, laying the groundwork for contemporary AI discussions.
EnergyFlex Launches Clean Energy Transition Campaign in Partnership with Carat SA EnergyFlex, an Australian veteran-owned energy analytics and renewables education company, has joined forces with Carat SA to launch its first-ever brand campaign. This initiative is designed to accelerate Australia’s clean energy transition by equipping individuals and businesses with the tools, knowledge, and confidence to become “Renewables Ready.” Empowering Australians with Free Energy Tools Founded in 2021, EnergyFlex aims to put every Australian on the path to free and clean energy. The company’s free app, launched in May, helps users: The app, available on both iOS and Android, is part of EnergyFlex’s mission to make renewable energy adoption accessible and impactful for all Australians. Voices from the Partnership Garry Harding, CEO and Co-Founder of EnergyFlex, emphasized the campaign’s focus on financial, community, and environmental benefits: “We want to make it as easy as possible for Australians to understand the positive impact of the renewable energy transition. Partnering with Carat SA enables us to raise awareness and bring these tools and education to homes and businesses across the country.” Adele Gibb, Managing Director of Carat SA, highlighted the synergy between the campaign and Carat’s values: “Working with a forward-thinking brand like EnergyFlex aligns perfectly with dentsu’s B2B2S philosophy—creating solutions that are good for business, people, and society.” About Carat SA As a leading global media agency, Carat SA operates across 190+ offices in 135+ countries, bringing expertise and innovation to drive impactful campaigns. With this collaboration, EnergyFlex and Carat SA are poised to inspire a nationwide shift toward renewable energy adoption, helping Australia lead ,.the way in sustainability. 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
Agentforce doesn’t depend on human engagement to get work done; these agents can be triggered by changes in data, business rules, pre-built automations, or signals via API calls from other systems. AgentForce from Salesforce. In addition, Agentforce includes out-of-the-box agents that are easy to customise and deploy with low-code or no-code tools and that work around the clock across any channel. Agentforce Service Agent, the first generally available out-the-box agent, outperforms traditional chatbots by handling a wide range of tasks, from simple to complex, with pre-built topics and actions for customer support. Users can customise pre-built agents to serve any industry and any use case, like retail with order management topics or financial services with billing and payment support topics. AgentForce from Salesforce is Here Agentforce is redefining what’s possible in business and beyond, ushering in a new era of AI abundance and limitless workforces that augment every employee, build deeper customer relationships and drive unprecedented growth and profitability,” said Zuko Mdwaba, Salesforce area vice president/Africa executive and South Africa country leader. “Built on Salesforce’s trusted, fully customisable platform—successfully integrating enterprise data, metadata, AI models, workflows, security and applications, Agentforce is what AI was meant to be,” said Mdwaba. With Agentforce, there’s no need to DIY your AI. Unlike other agent platforms that require complex data integration and custom automation builds, Agentforce is already built into the Salesforce Platform. Customers can instantly turn their existing Flows, prompt templates, Apex, and APIs into agent actions, seamlessly connecting to enterprise data, security models, and automations with the added power of native tools like Data Cloud, Slack, and MuleSoft. The all-new Agent Builder enables Salesforce admins and developers to use natural language to create instructions and guardrails for their agents. 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
