Salesforce and Blue Shield of California are launching an AI-driven system to streamline healthcare approvals, aiming to cut down prior authorization wait times from weeks to, potentially, the same day. This partnership, leveraging Salesforce’s healthcare cloud, integrates patient data to streamline approvals while retaining clinician oversight, ensuring AI decisions are always reviewed by a human expert.
Transform Your Perspective: From CRM to End-to-End Platform Unleash the power of Salesforce to supercharge your Sales and Service teams. “To sell, you must be your own customer. If it works for you, it’ll work for others as well.” This philosophy drives us to share how you can elevate your Salesforce implementation to unlock its full potential. Our expertise, honed through diverse projects and use cases, has equipped us with strategies to tackle today’s challenges effectively. If you’ve ever felt like your Salesforce platform has untapped potential, you’re not alone. Many organizations encounter roadblocks that limit adoption and the full utilization of cloud solutions. But it’s time to change that. Here are three strategies to help you transform your Sales Cloud and Service Cloud, maximizing their value and creating a competitive edge. 1. Maximize Your Salesforce License: Do More with What You Have Have you explored all that Salesforce has to offer? Start by examining the manual or repetitive processes in your organization—things like spreadsheets or outdated workflows that operate outside your core platform. Salesforce provides tools to digitize and optimize these tasks: By digitizing these workflows, you’ll free up your teams to focus on strategic initiatives while also reducing errors and increasing efficiency. 2. Foster a Learning Culture: The Key to Driving Innovation The success of any digital transformation goes beyond technology—it starts with people. Without proper training and an emphasis on learning, even the most advanced platform can fail to deliver. Salesforce’s Trailhead is an excellent resource to cultivate a culture of learning. We recommend these two modules for leaders and teams: Additionally, partnering with experts like Tectonic ensures tailored training and adoption strategies, helping your teams unlock the platform’s full potential. 3. Leverage Data: Unlock Your Organization’s Hidden Gold Your company’s data is one of its most valuable assets, and if you’ve been using Salesforce for years, you may already have a treasure trove of insights waiting to be leveraged. Enter Agentforce, the evolution of Salesforce’s ‘Copilot.’ Powered by AI, Agentforce automates repetitive tasks, enabling your sales and service teams to focus on high-value activities like closing deals and delivering exceptional service. At Tectonic, we specialize in implementing Agentforce seamlessly and at scale. Our expertise ensures that your data is optimized, empowering your business with actionable insights and AI-driven capabilities. The Tectonic Advantage: Expertise Meets Innovation At Tectonic, we blend deep technical expertise in Salesforce with insights gained from countless successful projects. Through our cross-cloud methodology, we bring together ideas from across industries to solve traditional Salesforce implementation challenges and drive innovation. It’s Time to Act… Transform your Salesforce experience from a basic CRM to an end-to-end platform that drives growth and efficiency. Let’s work together to unlock your platform’s hidden potential and empower your teams to achieve more. Ready to redefine your Salesforce journey? Connect with Tectonic today. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more
Dux-Soup Unveils Salesforce Integration to Enhance LinkedIn Lead Generation Dux-Soup, a leader in LinkedIn automation solutions, has announced a new integration with Salesforce, the world’s top customer relationship management (CRM) platform. This integration empowers businesses to scale their lead generation and sales efforts, offering greater efficiency and improved client engagement in less time. With the new integration, users can manage all outreach activities directly through Dux-Soup and Salesforce without needing to access LinkedIn. Campaigns are initiated within Salesforce, and all engagement data is automatically synced to the CRM. This provides companies with a streamlined process to track, nurture, and convert LinkedIn leads within a unified platform. Key Features Include: Will van der Sanden, Founder of Dux-Soup, stated, “For businesses aiming to scale their lead generation and sales, this integration unlocks new efficiencies and enhances engagement with potential clients. Our goal is to simplify and optimize the user experience, turning LinkedIn connections into real opportunities. With Salesforce integration, users can manage LinkedIn outreach more effectively than ever before.” Scott Wright, Head of Sales at Dux-Soup, added, “Integrating Dux-Soup with Salesforce is a game-changer for sales teams. It allows sales professionals to manage LinkedIn data, connections, and outreach all within Salesforce, creating a seamless workflow that helps them focus on building relationships and driving results.” This Salesforce integration is available to all Dux-Soup Turbo and Cloud users, further enhancing the LinkedIn automation tool’s capabilities. An online demo will be held on December 10th at 4:00 PM GMT, and visitors to the B2B Marketing Expo at Excel on November 27 and 28 can learn more at stand H64. 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
Navigating Cyber Insurance in an Evolving Threat Landscape The rapidly shifting cyberthreat landscape presents unique challenges for healthcare organizations and underwriters navigating cyber insurance coverage decisions. Cyber liability insurance plays a crucial role in shielding healthcare providers from the mounting costs associated with data breaches and cyberattacks, which now average $9.77 million per incident in the healthcare sector, according to IBM. The Challenges of Retaining Cyber Insurance Healthcare, among other heavily targeted sectors, faces difficulties in securing and maintaining affordable cyber insurance. The constantly evolving threat landscape impacts risk profiles, which drives up premiums and complicates coverage retention. Although year-over-year premium growth plateaued in the U.S. in 2023, 79% of respondents in a Delinea survey still reported increased insurance costs, with 67% experiencing premium hikes between 50% and 100%. As high-profile healthcare cyberattacks and increasing cyber risks persist, navigating the insurance landscape remains a significant challenge. Additionally, the lag in processing claims makes it difficult to anticipate how underwriters will respond to these changing threats. How the Evolving Threat Landscape Impacts Cyber Insurance Obtaining adequate cyber insurance coverage can be challenging in today’s risk-heavy environment. Unlike traditional insurance, where risks remain static, cyber risks constantly evolve to counteract security controls. “Cyber insurance risk adjusters face a unique challenge; unlike fires, which aren’t actively trying to burn you in new ways, cyberthreats are constantly adapting to bypass existing protections,” said Christopher Henderson, senior director of threat operations at Huntress. This continuous adaptation often means that by the time underwriting is complete, a risk assessment may already be outdated. Shifts in the threat landscape are driving changes in cyber insurance questionnaires. While in 2023 insurers focused on remote access tools, vulnerability management, and administrative access controls, the focus in 2024 shifted to include multifactor authentication (MFA) and identity-based attack prevention. This shift highlights the need for organizations to adapt to new requirements in cyber insurance as cybercriminals add new tactics to their playbooks. Adapting Insurance to Emerging Threats As cyberthreat tactics evolve, insurers may adjust policy terms to keep pace with the latest risks. Henderson suggests that insurers could move toward shorter underwriting cycles, possibly even six-month periods, to better align with the rapidly shifting cyber landscape. Mitigating Risk and Controlling Cyber Costs Several factors influence cyber insurance premiums, including organizational size and security posture. For healthcare providers, adhering to industry standards like SOC 2 and ISO 27001 can demonstrate compliance with best practices, improving coverage terms and potentially lowering premiums. Healthcare organizations using the NIST Cybersecurity Framework (CSF) as their primary security standard reported lower premium increases compared to those without this framework, according to a 2024 report by KLAS Research, Censinet, and the American Hospital Association. Henderson emphasizes the importance of layering new strategies with proven, traditional ones: “While staying vigilant against newer tactics like social engineering and identity-based attacks, maintaining consistent, auditable identity verification and MFA protocols remains crucial.” Despite upfront costs, cyber insurance can significantly reduce financial impact during cybersecurity incidents. For example, a 2024 Sophos report found that organizations with cyber insurance saw an average ransomware recovery cost of $2.94 million compared to $3.48 million for those without coverage. Navigating cyber insurance can be complex for healthcare organizations, but careful attention to risks and proactive security measures can help them secure the right coverage at sustainable rates. 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
How Salesforce Agents are Transforming Internal Workflows Salesforce CIO and Executive Vice President Juan Perez, with three decades of IT leadership experience, is leading the charge in deploying generative AI solutions like Agentforce within Salesforce. Perez’s approach reflects lessons learned during his tenure at UPS, where he oversaw IT operations for a global enterprise. His strategies emphasize scalability, data strategy, and modernization to support growth, with AI now playing a pivotal role. UPS Lessons Applied to Salesforce Perez draws on his UPS experience in managing IT at scale to navigate Salesforce’s needs as a growing enterprise. At UPS, he managed a complex, global IT organization supporting diverse operations, from running an airline to ensuring timely package delivery. Similarly, Salesforce’s IT strategy prioritizes scalable solutions, robust data strategies, and AI integration. “Salesforce intelligently realized the importance of leveraging its own technologies, including AI, to modernize and support growth,” Perez explains. Generative AI’s Transformative Potential Perez views generative AI (GenAI) as a transformative force on par with the internet’s emergence in the 1990s. By reducing the time spent on data analysis and decision-making, AI enables teams to focus on actions that improve productivity and customer service. While GenAI isn’t a solution in itself, Perez sees it as an enabler that amplifies human efforts. Evaluating and Integrating AI in Salesforce’s Stack Salesforce adopts a rigorous, multi-step approach to evaluate new technologies, including large language models (LLMs) and generative AI tools. Perez outlines a “filtering mechanism” for implementation: This structured approach ensures AI investments are both impactful and sustainable. Measuring AI’s ROI To quantify the impact of AI, Salesforce evaluates metrics like lines of code generated using AI tools and time saved through automation. In one example, approximately 26% of production-ready code in a recent deployment was AI-generated. This efficiency is factored into planning and budgeting, allowing resources to be reallocated to other initiatives. Mitigating “Shadow AI” Risks Perez warns against “shadow AI,” where decentralized or unmanaged AI implementations can lead to security, data privacy, and investment inefficiencies. He stresses the need for visibility and governance to prevent these risks. To address this, Salesforce has established an AI Council that is evolving into an Agentforce Center of Excellence. This body ensures responsible development, aligns projects with organizational goals, and maintains oversight of AI implementations across the enterprise. Responsible and Scalable AI Adoption Salesforce’s commitment to using its own products extends to Agentforce, a generative AI suite designed to streamline internal workflows. With a focus on governance, scalability, and measurable impact, Salesforce sets a benchmark for AI adoption. As Perez explains, “We ensure our AI solutions are safe, effective, and capable of driving significant value while remaining aligned with our strategic goals.” By combining rigorous evaluation, measurable outcomes, and proactive governance, Salesforce demonstrates how AI can transform workflows while mitigating risks. 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
Transforming Nonprofit Operations with Salesforce: Lessons from a Real-Life Success Story Actionable insights for nonprofits to streamline operations and amplify impact-Salesforce Strategies to Improve a Nonprofit Running a nonprofit is challenging enough without the added frustration of disjointed systems. Many nonprofits grapple with scattered databases, isolated email tools, and incompatible fundraising platforms, resulting in inefficiencies and operational headaches. When systems operate in silos, teams waste time on manual data entry and backtracking, which hinders program delivery and donor engagement—putting the mission at risk. Enter Salesforce Nonprofit Cloud, a transformative platform designed to centralize operations, improve donor communication, and provide actionable insights. With 93% of Salesforce users reporting positive ROI, the platform empowers nonprofits to focus on what matters most: driving impact. Salesforce can revolutionize nonprofit operations. Case Study: Supporting Families Through Salesforce Client: Children’s Organization for displaced children in Ukraine Mission: To help children separated from their families during the war in Ukraine by providing bilingual, family-narrated audiobooks and beautifully illustrated storybooks. Challenge:While Better Time Stories had a meaningful mission, their operational processes were a roadblock. Their delivery system struggled with: The Approach 1. Goals Set Results With these optimizations, Better Time Stories significantly improved delivery success: Continuous system support ensured seamless operations and enhanced the organization’s ability to meet its mission. Key Strategies for Nonprofits Using Salesforce 1. Automate Donation and Impact Tracking 2. Personalize Donor Journeys 3. Create Custom Workflows 4. Integrate Salesforce with Other Tools 5. Enable Advanced Reporting 6. Build Volunteer and Beneficiary Portals 7. Leverage AI for Strategic Decisions 8. Design Scalable Data Architecture 9. Conduct Regular Health Checks Conclusion Nonprofits need solutions that simplify operations and maximize impact. Salesforce Nonprofit Cloud offers the tools to centralize processes, enhance donor engagement, and drive mission-critical outcomes. By following these strategies and working with an experienced implementation partner, your nonprofit can achieve operational excellence and focus on delivering meaningful results. Ready to transform your nonprofit operations with Salesforce? Let’s make it happen! 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
Customer Relationship Management (CRM) systems are the backbone of modern business operations, orchestrating customer interactions, data management, and process automation. As businesses embrace advanced AI, the potential for transformative growth is clear—automating workflows, personalizing customer experiences, and enhancing operational efficiency. However, deploying large language model (LLM) agents in CRM systems demands rigorous, real-world evaluations to ensure they meet the complexity and dynamic needs of professional environments.
Clinicians spend about 28 hours per week on administrative tasks, mainly clinical documentation and communication. Medical and claims staff reported even higher administrative loads, with 34 and 36 hours spent weekly on tasks like documentation, communication, and prior authorization. Many respondents linked these demands directly to burnout, with 77% of claims staff, 81% of medical staff, and 82% of clinicians citing administrative burdens as significant contributors. Additionally, 78% of payer executives and 85% of provider executives noted that administrative work is a key driver of staffing shortages.
Is Travel Retail Ready for Gen Z? New Research Highlights Gaps in Alignment The latest research from Swiss-based travel retail agency m1nd-set sheds light on the shopping and travel behaviors of Gen Z—a group poised to become the largest segment of traveling shoppers within the next few years. The findings reveal a pressing need for the travel retail industry to better align its offerings with the unique expectations and values of this influential generation. Gen Z: A Generation with Distinct Values and Habits Peter Mohn, CEO and Owner of m1nd-set, emphasized the importance of prioritizing Gen Z consumers, noting their markedly different behaviors compared to other generations. “Like the focus placed on Millennials and Chinese consumers in recent years, it’s critical to give equal or greater attention to Gen Z. This generation exhibits distinct traits, particularly in their consumer habits, lifestyle preferences, and media consumption,” Mohn said. Key insights from m1nd-set’s research include: How Gen Z is Reshaping Travel and Retail The research highlights how Gen Z is redefining the travel industry by prioritizing experiences that are authentic, eco-conscious, and culturally meaningful over traditional luxury goods and activities. “Gen Zs are reshaping tourism,” Mohn explained, “by focusing on flexible, short-haul travel and unique experiences. They spend a significant portion of their budgets on international travel, favoring local and sustainable options over dining or shopping at home. Cultural experiences resonate far more than nightlife or traditional tourism.” Key data points from m1nd-set’s study include: Challenges in Engaging Gen Z in Travel Retail Despite their growing presence, the research highlights key challenges in converting Gen Z travelers into loyal shoppers in duty-free and travel retail spaces: Opportunities for Travel Retail: Winning Over Gen Z Mohn emphasized the vital role of shop floor sales staff in boosting Gen Z conversion rates, noting that interactions with staff positively influence purchase decisions for over 70% of Gen Z shoppers who engage with them. To capture the attention of this discerning generation, m1nd-set recommends that travel retail businesses: A Generation of Growing Influence By 2030, Gen Z and their successors, Gen Alpha, are expected to spend three times as much as all other generations combined. Currently, Gen Z already wields a staggering $200 billion in spending power, solidifying their position as a key demographic for travel retail. However, to fully tap into this potential, the industry must evolve quickly to meet the demands of this purpose-driven, tech-savvy, and sustainability-focused generation. As Mohn concluded, “Travel retail must become more than just a place to shop—it should be an engaging, socially conscious destination that resonates deeply with Gen Z values.” 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
Why Salesforce Chose a Human-First Approach to Promote AI Salesforce won Gold in the Use of GenAI category at The Drum Awards for Advertising by creatively addressing AI-related concerns while demonstrating the power of responsible AI adoption. Here’s a look at the award-winning campaign. Salesforce Chose a Human-First Approach to Promote AI. The Challenge The rapid adoption of AI last year triggered widespread anxiety. Many professionals felt their jobs were at risk, and concerns grew over AI’s trustworthiness, ethical implications, and potential to replace human talent. Businesses needed to address this apprehension while showcasing the transformative potential of AI in a responsible manner. The Strategy Amid the rising uncertainty, Salesforce saw an opportunity to lead the conversation by aligning the campaign with one of its core values: innovation. Rather than positioning AI as an independent solution, Salesforce sought to show that its true power lies in the hands of creative humans who apply it thoughtfully. The campaign aimed to demonstrate that AI isn’t inherently good or bad—it’s a tool, and its impact depends on how it’s used. Salesforce’s creative and production teams integrated generative AI as an assistant, ensuring that AI enhanced human creativity rather than replacing it. This approach positioned Salesforce as a leader in responsible AI adoption, both within the creative industry and across broader business applications. The Campaign Execution Salesforce embraced a “walk the walk” approach to responsible AI by using generative AI tools to assist, not replace, its human creatives. The result was a campaign that resonated deeply with Salesforce’s target audience of business decision-makers, sparking conversations around trust and innovation. The Results The Ask More of AI campaign achieved exceptional outcomes across various metrics: Salesforce Chose a Human-First Approach to Promote AI By adopting a balanced approach—leveraging AI to enhance human creativity without replacing it—Salesforce successfully addressed AI-related fears while positioning itself as a trusted innovator. The campaign not only elevated Salesforce’s brand but also set a benchmark for responsible AI use in marketing. Through “Ask More of AI,” Salesforce demonstrated that trust and purpose are the cornerstones of unlocking AI’s potential. 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
Could the AI Energy Solution Make AI Unstoppable? The Rise of Brain-Based AI In 2002, Jason Padgett, a furniture salesman from Tacoma, Washington, experienced a life-altering transformation after a traumatic brain injury. Following a violent assault, Padgett began to perceive the world through intricate patterns of geometry and fractals, developing a profound, intuitive grasp of advanced mathematical concepts—despite no formal education in the subject. His extraordinary abilities, emerging from the brain’s adaptation to injury, revealed an essential truth: the human brain’s remarkable capacity for resilience and reorganization. This phenomenon underscores the brain’s reliance on inhibition, a critical mechanism that silences or separates neural processes to conserve energy, clarify signals, and enable complex cognition. Researcher Iain McGilchrist highlights that this ability to step back from immediate stimuli fosters reflection and thoughtful action. Yet this foundational trait—key to the brain’s efficiency and adaptability—is absent from today’s dominant AI models. Current AI systems, like Transformers powering tools such as ChatGPT, lack inhibition. These models rely on probabilistic predictions derived from massive datasets, resulting in inefficiencies and an inability to learn independently. However, the rise of brain-based AI seeks to emulate aspects of inhibition, creating systems that are not only more energy-efficient but also capable of learning from real-world, primary data without constant retraining. The AI Energy Problem Today’s AI landscape is dominated by Transformer models, known for their ability to process vast amounts of secondary data, such as scraped text, images, and videos. While these models have propelled significant advancements, their insatiable demand for computational power has exposed critical flaws. As energy costs rise and infrastructure investment balloons, the industry is beginning to reevaluate its reliance on Transformer models. This shift has sparked interest in brain-inspired AI, which promises sustainable solutions through decentralized, self-learning systems that mimic human cognitive efficiency. What Brain-Based AI Solves Brain-inspired models aim to address three fundamental challenges with current AI systems: The human brain’s ability to build cohesive perceptions from fragmented inputs—like stitching together a clear visual image from saccades and peripheral signals—serves as a blueprint for these models, demonstrating how advanced functionality can emerge from minimal energy expenditure. The Secret to Brain Efficiency: A Thousand Brains Jeff Hawkins, the creator of the Palm Pilot, has dedicated decades to understanding the brain’s neocortex and its potential for AI design. His Thousand Brains Theory of Intelligence posits that the neocortex operates through a universal algorithm, with approximately 150,000 cortical columns functioning as independent processors. These columns identify patterns, sequences, and spatial representations, collaborating to form a cohesive perception of the world. Hawkins’ brain-inspired approach challenges traditional AI paradigms by emphasizing predictive coding and distributed processing, reducing energy demands while enabling real-time learning. Unlike Transformers, which centralize control, brain-based AI uses localized decision-making, creating a more scalable and adaptive system. Is AI in a Bubble? Despite immense investment in AI, the market’s focus remains heavily skewed toward infrastructure rather than applications. NVIDIA’s data centers alone generate 5 billion in annualized revenue, while major AI applications collectively bring in just billion. This imbalance has led to concerns about an AI bubble, reminiscent of the early 2000s dot-com and telecom busts, where overinvestment in infrastructure outpaced actual demand. The sustainability of current AI investments hinges on the viability of new models like brain-based AI. If these systems gain widespread adoption within the next decade, today’s energy-intensive Transformer models may become obsolete, signaling a profound market correction. Controlling Brain-Based AI: A Philosophical Divide The rise of brain-based AI introduces not only technical challenges but also philosophical ones. Scholars like Joscha Bach argue for a reductionist approach, constructing intelligence through mathematical models that approximate complex phenomena. Others advocate for holistic designs, warning that purely rational systems may lack the broader perspective needed to navigate ethical and unpredictable scenarios. This philosophical debate mirrors the physical divide in the human brain: one hemisphere excels in reductionist analysis, while the other integrates holistic perspectives. As AI systems grow increasingly complex, the philosophical framework guiding their development will profoundly shape their behavior—and their impact on society. The future of AI lies in balancing efficiency, adaptability, and ethical design. Whether brain-based models succeed in replacing Transformers will depend not only on their technical advantages but also on our ability to guide their evolution responsibly. As AI inches closer to mimicking human intelligence, the stakes have never been higher. 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
Revolutionizing Salesforce Reports with Winter ’25Have you explored the Dynamic Filters in reports introduced in the Winter ’25 release? Gone are the days of creating separate reports every time you need a slightly different view. With Dynamic Filters, you can modify your report filters on the fly—no more starting from scratch! ✅ Save Hours of time.✅ Get tailored insights instantly.✅ Perfect for those “I need this data, but sliced differently” moments in meetings. This feature supercharges your reports with unmatched flexibility and efficiency. It’s a game-changer for Salesforce teams, leaving many wondering, “Why didn’t we have this sooner?” Understanding Dynamic Reports in Salesforce Dynamic reports allow users to adjust filter criteria in real time while running the report, eliminating the need for fixed filter values. With filters like “current user,” “current month,” or “my opportunities,” these reports adapt based on who is running them or the context, providing more relevant insights. Key Features: How to Create Dynamic Reports in Salesforce Here’s how you can set up a dynamic report step by step: Dynamic Dashboards in Salesforce A dynamic dashboard displays data tailored to the specific user viewing it, unlike standard dashboards, which show static data for a specific user or report owner. Benefits of Dynamic Dashboards: How to Create a Dynamic Dashboard Conclusion Dynamic Filters and Dashboards in Salesforce are powerful tools to streamline reporting and boost efficiency. By eliminating the need for static reports and dashboards, they allow for real-time adjustments and personalized data views, making your analytics more actionable and user-friendly. Want to level up your Salesforce reporting game? Dive deeper into the guides for creating dashboards, advanced filters, and leveraging analytics to maximize your Salesforce potential. Whether you’re an admin or a sales leader, these tools will transform how you approach data insights. 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
Be the change you want to see in the artificial intelligence world. Or scramble to catch up. Hope Is Not Lost for Human-Centered AIHow designers can lead the charge in creating AI that truly benefits humanity. The rapid proliferation of Artificial Intelligence (AI) brings with it a range of ethical and societal concerns. From inherent biases in datasets to fears of widespread job displacement, these challenges often feel like inevitable trade-offs as AI becomes deeply embedded in our lives. However, hope remains. Human-centered AI—designed to be fair, transparent, and genuinely beneficial—is not only possible but achievable when crafted with intentionality. For UX professionals, this is an opportunity to drive the creation of AI systems that empower rather than overshadow human capabilities. A Quick Note on AI Literacy To make meaningful contributions to AI product development, designers need a foundational understanding of how AI works. While a PhD in machine learning isn’t necessary, being an informed practitioner is essential. Think of learning about AI like learning to invest. At first, it seems daunting—what even is an ETF? But with time, the jargon and processes become familiar. Similarly, while you don’t need to be a machine-learning expert to work with AI, understanding its basics is critical. AI refers broadly to a computer’s ability to mimic human thought, while machine learning (ML)—a subset of AI—enables systems to learn from data. Unlike traditional programming, where explicit instructions are coded line by line, ML models identify patterns within training datasets. These models then function as “black boxes,” generating outputs based on user inputs—though the inner workings are often opaque. Understanding these fundamentals empowers designers to bridge the gap between AI’s technical potential and its real-world application. Design-Led AI Ideally, designers are involved from the very beginning of AI product development—during the discovery phase. Here, we evaluate whether AI is the right solution for a given problem, ensuring user needs drive decisions rather than the allure of flashy tech. Key questions to ground AI solutions in user needs include: Basic AI literacy allows designers to make informed judgments and collaborate effectively with engineers. Engaging early ensures that AI solutions are designed to adapt to users—not the other way around. But what happens when design isn’t brought in until after AI decisions have been made? Design-Guarded AI Even when AI is a foregone conclusion, designers can still shape outcomes by focusing on the two areas where users interact directly with AI: inputs and outputs. Input Design Whether inputs involve transaction data, images, or text prompts, the method of collection must be intuitive and user-friendly. Established design principles, such as affordances, help ensure clarity and simplicity. For example: Frequent user testing ensures input methods align with real workflows and pain points. The result? Streamlined, user-centric experiences that reduce friction and save time. Output Design Designing outputs requires a focus on transparency and mitigating automation bias—the tendency to over-rely on AI. Users must understand that AI is fallible. For instance: AI should act as a collaborator, not an authority. Outputs must empower users to make informed choices while supporting their next steps within a seamless workflow. Ethics Must Take Center Stage No discussion of human-centered AI is complete without addressing ethics. Designers must champion transparency, inclusivity, and fairness throughout the product lifecycle. Questions around bias, privacy, and unintended consequences must be raised early and revisited often. While ethical considerations may sometimes conflict with short-term business goals, prioritizing them is essential for building AI that serves humanity in the long term. These conversations won’t always be easy—but they are necessary. As designers, we have the tools and responsibility to ensure AI remains a force for good. By advocating for human-centered design principles, we can help shape an AI-powered future that enhances human potential rather than undermining it. 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
It sounds like you’re working with a Template-Based Email in Salesforce Marketing Cloud, and you’re encountering a locked template that limits direct edits. The lock icon in the top-left corner indicates that you can’t modify certain elements directly within the email editor.
How to Deploy Metadata to Salesforce Orgs: A Step-by-Step Guide Deploying metadata effectively is critical for building Salesforce orgs that align with your business goals. However, deployment processes often hit roadblocks due to missed dependencies, overwritten changes, or failed deployments at the end of development cycles. Deploy Metadata to Salesforce Orgs. As your team grows and business requirements become more complex, finding a deployment solution that works for everyone may feel overwhelming. While Salesforce’s clicks-not-code philosophy simplifies development, deployments can create bottlenecks if your process isn’t robust. Whether you’re working with custom objects, Flows, or Apex code, this guide will help you streamline your metadata deployments for the whole team. Understanding Salesforce Metadata Deployment Options Salesforce offers several methods for deploying metadata, most of which leverage the Metadata API. This API facilitates metadata transfers between Salesforce orgs or between orgs and version control systems like Git. Although most metadata types are supported by the API, a few exceptions exist. Fortunately, these unsupported types are rarely critical, ensuring the API remains a dependable foundation for most deployment needs. Change Sets: The Starting Point Salesforce’s change sets are often the default tool for new users. These provide a clicks-not-code approach and are easy to enable within the Salesforce UI. However, their limitations can hinder long-term scalability and DevOps maturity. Using Change Sets Limitations of Change Sets For teams seeking a scalable deployment solution, change sets often fall short. DevOps Center: Salesforce’s Modern Alternative Salesforce’s DevOps Center offers an improved approach to metadata deployments, especially for teams adopting collaborative and source-driven development workflows. Benefits of DevOps Center Limitations of DevOps Center While DevOps Center is a significant improvement over change sets, it may not fully meet the needs of growing teams striving for DevOps maturity. Salesforce CLI: A Developer-Focused Tool For teams with development expertise, Salesforce’s Command Line Interface (CLI) enables metadata deployments through scripting. As part of Salesforce DX, the CLI facilitates package-based development and automation. Key Advantages Challenges Gearset: A Complete Metadata Deployment Solution For teams seeking a streamlined, all-in-one deployment solution, Gearset provides the ideal balance of simplicity, collaboration, and DevOps maturity. Why Choose Gearset? How to Deploy Metadata with Gearset: Step-by-Step Deploy with Confidence Whether you’re working with simple change sets or advanced DevOps processes, the right tools can transform your Salesforce deployments. Gearset ensures seamless, reliable metadata transfers with a 99% deployment success rate—empowering teams to focus on innovation rather than troubleshooting. Ready to simplify your metadata deployments? Start your free trial of Gearset today and experience hassle-free releases! 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
