Cloud Archives - gettectonic.com
21Mar

Salesforce and Singapore Airlines

Singapore Airlines (SIA), a Headline Partner of the APEX FTE Asia Expo in Singapore on 11-12 November 2025, is teaming up with Salesforce to co-develop cutting-edge Artificial Intelligence (AI) solutions for the airline industry. This collaboration, centered at the Salesforce AI Research hub in Singapore, aims to deliver greater value and innovative benefits to the sector. As part of this initiative, SIA is integrating Salesforce’s Agentforce, Einstein in Service Cloud, and Data Cloud into its customer case management system, enabling the airline to provide more consistent, personalised, and efficient service to its customers. SIA will deploy Agentforce, an AI system that uses autonomous agents to handle specific tasks, streamlining customer service operations. This allows SIA’s customer service representatives to focus on delivering enhanced, personalised attention during customer interactions. Data Cloud, Salesforce’s hyperscale data engine, powers Agentforce by consolidating relevant data, enabling AI agents to provide customer service representatives with tailored advice and solutions, further enhancing the customer experience. Mr. Goh Choon Phong, Chief Executive Officer of Singapore Airlines, highlighted the airline’s commitment to innovation: “As the world’s leading digital airline, Singapore Airlines is dedicated to investing in and leveraging advanced technologies to enhance customer experiences, improve operational efficiencies, drive revenue generation, and boost employee productivity. Over the past 18 months, the SIA Group has been an early adopter of Generative AI solutions, developing over 250 use cases and implementing around 50 initiatives across our end-to-end operations. Salesforce is a pioneer in Agentic AI, and integrating Agentforce, Einstein in Service Cloud, and Data Cloud into our customer case management system marks the first step in our collaboration. Together, we will co-create AI solutions that drive meaningful and impactful change, setting new standards for service excellence in the airline industry.” In addition to Agentforce, SIA will utilise Einstein Generative AI capabilities within Service Cloud to summarise customers’ previous interactions with the airline. This feature provides customer service representatives with actionable insights, enabling them to better understand and anticipate customer needs, tailor solutions, and reduce average response times. The result is a more efficient, proactive, and personalised customer service experience. Marc Benioff, Chair and Chief Executive Officer of Salesforce, emphasised the transformative potential of this partnership: “The rise of digital labour, powered by autonomous AI agents, is not just reimagining the customer experience – it’s transforming business. We’re thrilled to partner with Singapore Airlines, a trailblazer in this AI revolution, to elevate their already outstanding customer service to unprecedented heights, augment their employees, and collaborate on groundbreaking AI solutions for the airline industry. With our deeply unified digital labour platform, we’re bringing humans together with trusted, autonomous AI agents, unlocking new levels of productivity, innovation, and growth.” This collaboration between Singapore Airlines and Salesforce represents a significant step forward in the airline industry’s adoption of AI-driven solutions. By combining SIA’s industry expertise with Salesforce’s innovative AI technologies, the partnership aims to redefine customer service standards, enhance operational efficiency, and set a new benchmark for excellence in the aviation sector. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 21, 2025in Agentforce Platform, Agentic AI, Artificial Intelligence, Data, Generative AI, Salesforce, Salesforce Hospitality Travel and Transportation0 Comments
data cloud and data silos
20Mar

Unify Your Data Silos

Unify Your Data Silos: Deliver Connected, Personalized Experiences 🔹 65% of customers expect businesses to tailor experiences to their evolving needs. (State of Data and Analytics Report, 2023) Have you ever received a marketing promotion for something you just bought? Or had to repeat your purchase history before getting help from customer service? These disjointed experiences frustrate customers and result from data silos that prevent a unified view of the customer journey. With enterprises using over 1,000 applications on average, data ecosystems are highly complex. Many businesses attempt to centralize data in lakes, warehouses, or lakehouses, yet 73% of enterprise data remains unused for analytics (Forrester). Why? Because much of this data stays locked in backend systems, failing to power the real-time applications and workflows that drive customer engagement and business success. Break Down Data Silos to Create Seamless Customer Experiences By unifying your data, you can personalize every interaction—from online reviews and service records to browsing history and purchases. And by securely activating this data within your CRM and AI-driven workflows, you can deliver smarter, faster, and more impactful customer experiences. Unlock Business Growth with Unified Data When your teams have access to a complete, real-time customer profile, they can turn insights into action across every touchpoint: ✅ Sales Teams receive real-time guidance during calls, offering tailored recommendations based on customer behavior.✅ Service Agents proactively address issues with instant alerts and AI-powered resolutions.✅ Marketers deliver personalized, cross-channel messaging, adapting dynamically to customer actions.✅ Retailers optimize shopping experiences by responding in real time to cart abandonment and browsing patterns.✅ IT Teams build real-time apps to detect fraud, assess economic trends, and enhance security. Checklist: Build a 360° View of Your Customer ✅ Basic Data: Demographics, job title, email, and IP address.✅ Interaction Data: Email opens, website visits, CTRs, customer service calls, and social media activity.✅ Behavioral & Attitudinal Data: Purchase history, order values, survey feedback, and online reviews. Turn Raw Data Into Actionable Insights with Data Cloud Data Cloud transforms fragmented data into a single, trusted source of truth, deeply integrated with the Salesforce Platform. It enables organizations to: ✔ Connect and unify all customer data without complex data pipelines.✔ Activate insights in real-time across sales, service, and marketing workflows.✔ Power trusted AI solutions using all enterprise data for better decision-making. See How Formula 1 Uses Data to Drive Fan Engagement 📺 Watch how F1 personalizes fan experiences “With over 500 million fans worldwide, we needed personalized journeys and always-on capabilities.”— Matthew Kemp, Senior CRM & Customer Operations Manager, F1 Checklist: Unite Your Data for Better Customer Experiences ✔ Make data easy to store, manage, and analyze from any source.✔ Think holistically about behavioral, interaction, and attitudinal data.✔ Use a platform that transforms raw data into actionable insights.✔ Audit your systems for data silos causing disconnected experiences.✔ Ensure data is accessible in everyday workflows with trusted solutions like Data Cloud. 📊 Data-driven businesses don’t just manage customer experiences—they revolutionize them. 🚀 Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 20, 2025in Data, Enterprise, Salesforce Data Cloud0 Comments
advanced analytics
18Mar

Maximizing Sales Performance with Salesforce Sales Analytics

Salesforce, a leading CRM platform, provides powerful sales analytics tools that empower businesses to make data-driven decisions, boost productivity, and drive revenue growth. This guide highlights the importance of Salesforce Sales Analytics, its key features, and how to leverage them to optimize your sales team’s performance. Key Features of Salesforce Sales Analytics 1. Reports and Dashboards Salesforce’s reporting capabilities enable users to create custom dashboards and reports for real-time insights into lead conversion, sales performance, and other critical metrics. These visual tools help businesses track trends and make informed decisions effortlessly. 2. Einstein Analytics Powered by AI and machine learning, Einstein Analytics offers: 3. Sales Cloud Analytics Sales Cloud Analytics helps businesses: 4. Forecasting Tools Salesforce’s AI-powered forecasting tools provide accurate revenue projections by analyzing: How Different Teams Benefit from Sales Analytics ✅ Executives – Gain a high-level view of sales, service, and pipeline performance with real-time dashboards highlighting key business metrics. ✅ Sales Managers – Monitor team performance, track quota attainment, analyze pipeline changes, and optimize sales cycles to accelerate deal closures. ✅ Sales Representatives – Get insights into personal sales performance, pipeline activities, and quota attainment, allowing for quicker decision-making and identification of new business opportunities. ✅ Operations Teams – Analyze sales performance by customer, region, and source to optimize negotiation strategies and business development efforts. Setting Up the Salesforce Sales Analytics App 1. Launch Analytics Studio Navigate to Analytics Studio via the Sales Home page and click on the Apps button. 2. Search for Sales Analytics If the Sales Analytics App does not appear by default, use the search bar to locate it. 3. Access the Default Dashboard The default dashboard provides key metrics, including: 4. Customize Widgets Modify data representation by selecting the Edit button and customizing widgets to align with your business needs. 5. Adjust Goal Widgets Update goal widgets to match your sales targets and business objectives. 6. Explore Additional Dashboards Salesforce offers role-specific dashboards for Sales Managers, Executives, and other stakeholders to gain tailored insights. 7. Utilize the Lens Feature for Visualizations Leverage Lens to create object-specific visualizations, such as opportunities by time, stage, owner, and more. Conclusion Integrating Salesforce Sales Analytics with Tableau CRM creates a comprehensive Business Intelligence (BI) solution. However, businesses looking for a simpler or more cost-effective alternative may consider exporting Salesforce data into third-party analytics platforms for additional flexibility and ease of use. By leveraging Salesforce Sales Analytics, businesses can enhance forecasting, improve decision-making, and drive sales performance with real-time 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 18, 2025in Data0 Comments
Salesforce Energy and Utilities Cloud Explained
17Mar

Salesforce Energy and Utilities Cloud Explained

Salesforce Energy and Utilities Cloud is a specialized industry solution built on the Salesforce platform, designed to meet the unique needs of energy and utility companies. It helps these organizations manage customer relationships, streamline operations, and drive digital transformation in an increasingly complex and regulated industry. The cloud solution provides tools for customer engagement, field service management, and regulatory compliance, among other functionalities. Key Features of Salesforce Energy and Utilities Cloud: Benefits of Salesforce Energy and Utilities Cloud: Use Cases: Implementation Considerations: In summary, Salesforce Energy and Utilities Cloud is a comprehensive solution designed to help energy and utility companies enhance customer engagement, streamline operations, and achieve regulatory compliance. By leveraging advanced technologies and industry-specific functionalities, utilities can drive digital transformation and improve overall performance. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 17, 2025in Data, Salesforce, Salesforce Einstein0 Comments
Financial Services Sector
14Mar

Future of Financial Services

The Future of Financial Services: AI Agents, Consumer Trust, and Digital Transformation Fewer than half of consumers are fully satisfied with the service they receive from banks, insurance providers, and wealth management advisors. This underscores the urgent need for financial service institutions (FSIs) to prioritize standout customer experiences—both human and digital—leveraging AI agents to enhance personalization, efficiency, and responsiveness. Why Customer Experience is Key Consumer loyalty has long been driven by competitive pricing, fees, and interest rates. However, with declining rates making promotional incentives less feasible, FSIs are refocusing on customer service as a key differentiator. AI-powered digital experiences provide an opportunity to exceed customer expectations, offering speed, convenience, and hyper-personalization at scale. A significant portion of consumers are willing to stay with an institution that offers an exceptional experience, even if it raises its rates or fees. For instance, 46% of consumers—and 55% of high earners in the U.S. (households making over $100,000 per year)—value experience over pricing alone. Digital self-service is a primary component of this enhanced experience, with many consumers preferring to complete tasks online rather than through traditional phone or in-branch interactions. Institutions like Credit Unions are already meeting this demand by deploying self-service tools that provide instant resolutions, 24/7. AI Agents: Transforming the FSI Landscape AI agents represent a major leap forward in customer service, automating interactions and resolving issues without human intervention. However, trust in these AI-driven systems remains a work in progress. Only 41% of wealth management clients report being fully satisfied with their institution’s speed and effectiveness, and satisfaction levels are even lower among banking and insurance customers. Despite some skepticism, AI adoption is accelerating. Half of consumers expect AI to significantly impact their financial relationships, a belief even more pronounced among Millennials and Gen Z. The percentage of customers anticipating AI-driven transaction speed improvements has risen from 46% in 2023 to 65% today. Yet, consumer education on AI’s capabilities remains a challenge. AI agents have the potential to act as financial advisors, enhancing financial literacy, optimizing savings, and even increasing earnings. Salesforce’s Agentforce aims to bridge this gap, offering digital financial assistants that can answer questions like, “Am I saving enough for retirement?” or “Can I afford this vacation?”—delivering expert insights instantly and at scale. Building Trust in AI-Powered Finance Despite AI’s promise, trust issues persist. While 54% of consumers express confidence in AI agents, only 10% fully trust them. This skepticism is fueled by concerns over data privacy, security, and transparency. Many consumers are wary of how FSIs handle their personal information and are seeking greater clarity on AI’s role in financial decision-making. A Salesforce study revealed that 73% of consumers want to know when they’re interacting with AI, highlighting the importance of transparency in AI implementation. “For AI to succeed in financial services, trust and compliance must be built into the foundation,” said Eran Agrios, SVP & GM of Financial Services at Salesforce. “FSIs need to ensure their AI strategies are not only effective but also worthy of customer confidence.” AI in Action: Case Studies in Financial Services Financial institutions leveraging Agentforce are already seeing tangible benefits: Integrating Agentforce with ERP for Maximum Impact To maximize the potential of AI agents, FSIs must integrate them seamlessly into their broader enterprise ecosystems. Best practices for integration include: The Next Two Years: Defining the Future of AI in Finance As AI continues to disrupt the financial sector, FSIs that embrace AI-first strategies will outperform competitors in efficiency, security, and customer experience. Here’s what the future holds: The Takeaway Financial institutions that invest in AI-driven experiences today will define the future of finance. By adopting transparent, compliant, and consumer-centric AI strategies, FSIs can build trust, drive efficiency, and deliver exceptional customer experiences that set them apart in an increasingly 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 The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 14, 2025in Data, Enterprise, Mulesoft, Salesforce, Salesforce Data Cloud0 Comments
Salesforce Data Cloud
14Mar

Maximizing Salesforce Data Cloud

Maximizing Salesforce Data Cloud: Post-Implementation Strategies for Long-Term Success The Fastest-Growing Salesforce Product Salesforce Data Cloud is seeing explosive growth, with a 130% year-over-year increase in paid customers. In just one quarter, it processed an astonishing 2.3 quadrillion records—a 147% jump from the previous year. Businesses leveraging Data Cloud have seen a 165% boost in web engagement, with major brands like The Adecco Group, Aston Martin, and FedEx using it to strengthen customer relationships and drive growth. The Power of Data Cloud: Turning Information into Action What makes Salesforce Data Cloud so impactful is its ability to unify vast amounts of data, creating 360-degree customer profiles and transforming insights into action. But unlocking its full potential doesn’t stop at implementation—it requires ongoing optimization to keep your data clean, your systems efficient, and your AI models accurate. Post-Implementation Best Practices for Salesforce Data Cloud Once your Salesforce Data Cloud is up and running, the next step is ensuring long-term performance and business value. Here’s how to optimize and sustain your Data Cloud investment: 1. Maintain Data Integrity with Ongoing Quality Management 2. Optimize System Performance for Speed and Efficiency 3. Drive User Adoption with Tailored Training 4. Strengthen Data Governance and Compliance 5. Proactively Manage and Optimize Integrations 6. Refine Customer Segmentation for More Personalization 7. Keep AI and Predictive Models Up to Date 8. Measure ROI and Optimize for Business Impact 9. Foster a Data-Driven Culture Through Clear Communication 10. Stay Agile with Continuous Innovation and Community Engagement Conclusion: The Real Value of Data Cloud Begins After Implementation Salesforce Data Cloud is at the heart of next-gen customer engagement, but its true impact lies in how well you maintain and optimize it. Success depends on:✅ Involving key stakeholders in ongoing improvements✅ Enforcing strong data governance for security and accuracy✅ Continuously refining processes to adapt to changing business needs By committing to post-implementation optimization, your organization can stay agile, data-driven, and ahead of the competition—ensuring that Salesforce Data Cloud delivers maximum value now and in the future. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 14, 2025in Data, Salesforce, Salesforce Data Cloud0 Comments
13Mar

Why Its Good to be Data-Driven

The Power of Data-Driven Decision Making Success in business hinges on the ability to make informed decisions. Every operational aspect, from minor choices like office furniture selection to critical investments such as multi-million-dollar marketing campaigns, is shaped by a series of interrelated decisions. While instinct and intuition may play a role, most business choices rely on relevant data—covering aspects such as objectives, pricing, technology, and potential risks. However, excess irrelevant data can be just as detrimental as insufficient accurate data. Why Its Good to be Data-Driven organization… The Evolution of Data-Driven Decision Making Organizations that prioritize data-driven strategies rely on accurate, relevant, complete, and timely data. Simply amassing large volumes of information does not equate to better decision-making; companies must democratize data access, ensuring it is available to all employees rather than limited to data analysts. The practice of using data to inform business decisions gained traction in the mid-20th century when researchers identified decision-making as dynamic, complex, and often ambiguous. Early techniques like decision trees and prospect theory emerged in the 1970s alongside computer-aided decision-making models. The 1980s saw the rise of commercial decision support systems, and by the early 21st century, data warehousing and data mining revolutionized analytics. However, without clear governance and organizational policies, these vast data stores often fell short of their potential. Today, the goal of data-driven decision-making is to combine automated decision models with human expertise, creativity, and critical thinking. This approach requires integrating data science with business operations, equipping managers and employees with powerful decision-support tools. Characteristics of a Data-Driven Organization A truly data-driven organization understands the value of its data and maximizes its potential through structured alignment with business objectives. To safeguard and leverage data assets effectively, businesses must implement governance frameworks ensuring compliance with privacy, security, and integrity standards. Key challenges in establishing a data-driven infrastructure include: The Benefits of a Data-Driven Approach Businesses recognize that becoming data-driven requires more than just investing in technology; success depends on strategy and execution. According to KPMG, four critical factors contribute to the success of data-driven initiatives: A data-driven corporate culture accelerates decision-making, enhances employee engagement, and increases overall business value. Integrating ethical considerations into data usage is crucial for mitigating biases and maintaining data integrity. Transitioning to a Data-Driven Business With the rapid advancement of generative AI, data-driven organizations are poised to unlock trillions of dollars in economic value. McKinsey estimates that AI-driven decision-making could add between .6 trillion and .4 trillion annually across key sectors, including customer operations, marketing, software engineering, and R&D. To successfully transition into a data-driven organization, companies must: By embracing a data-driven model, organizations enhance their ability to make automated yet strategically sound decisions. With seamless data integration across CRM, ERP, and business applications, companies empower human decision-makers to apply their expertise to high-quality, actionable insights—driving innovation and competitive advantage in a rapidly evolving marketplace. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 13, 2025in Data, Generative AI, Technology0 Comments
13Mar

Secure Your Data

Secure Your Data: Strengthen Protection with Smart Hygiene Practices Security threats are the biggest barrier to effective data management, according to our State of Data and Analytics report. The good news? Human error accounts for 80% of cybersecurity incidents, meaning basic security hygiene can prevent most breaches. 🔹 Global IT and security leaders agree: The most effective defenses against cyberattacks include multi-factor authentication (MFA), identity and access management (IAM), and data encryption (2023 Global Data Security Trends Report). Six Security Best Practices to Protect Your Data 1. Encrypt Data to Keep It Private Encryption converts sensitive information into ciphertext that can only be unlocked with a decryption key. Whether data is in transit or at rest, encryption prevents unauthorized access. Look for solutions that offer end-to-end encryption to safeguard financial transactions, private messages, and customer records. 2. Control Access with Identity & Access Management (IAM) Only grant employees the minimum access they need to do their jobs (least privilege access). 66% of security leaders trust IAM to restrict who can view, edit, and manage sensitive data—reducing the risk of unauthorized access. 3. Require Multi-Factor Authentication (MFA) MFA strengthens security by requiring two or more credentials to verify user identity. 80% of IT leaders report that MFA is a core part of their security strategy because it significantly reduces unauthorized logins. 4. Invest in Backup & Recovery Solutions Data loss isn’t just an inconvenience—it can be catastrophic. Yet, only 39% of IT leaders consider backup and recovery a security priority. Ensure all business-critical data—from CRM to cloud storage—is backed up and recoverable to minimize risks. 5. Train Employees on Security Awareness Your team is your first line of defense. Cyberattacks often exploit human mistakes, making ongoing security training essential. Nearly two-thirds of IT leaders say they are increasing employee security training to boost awareness and adoption of best practices. 6. Strengthen Password Security Weak passwords remain a leading cause of breaches. Use a secure password manager and enforce these best practices: ✅ Create 16+ character passwords with a mix of letters, numbers, and symbols✅ Use passphrases with special characters for added complexity✅ Require multi-factor authentication (MFA) to access password managers How Humana Strengthened Security & Cut Costs 💡 million saved in security costs💡 Enhanced patient data protection “Our ultimate goal is that members see us as a trusted partner who can provide the services they need in a very timely manner.”— Brian Cahill, Vice President, Pharmacy Segment CIO, Humana Security Hygiene Checklist ✅ Automate software and security updates to protect against vulnerabilities✅ Encrypt data during transmission and storage to prevent unauthorized access✅ Use a secure file-sharing platform with end-to-end encryption✅ Implement least privilege access to ensure employees only access what they need✅ Regularly review employee permissions to maintain role-based security 🔒 Proactive security measures don’t just protect data—they build trust and resilience in your organization. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 13, 2025in AI Tools, Data, Salesforce Data Cloud0 Comments
Salesforce Introduces Agentblazer Status
13Mar

Salesforce Introduces Agentblazer Status

Salesforce Introduces Agentblazer Status: Your AI Learning Roadmap on Trailhead Trailblazers have always been at the forefront of innovation, using Salesforce to empower businesses and communities. Now, as AI transforms the way we work and solve problems, the need for a deeper understanding of this technology has never been greater. Technology is evolving—becoming smarter, more powerful, and more creative. To thrive in the era of agentic AI, we must evolve too. That means staying curious, embracing change, and continuously building new skills. At Salesforce, we’ve seen our community embody this mindset, always ready to learn and explore new possibilities. Today, we’re making that journey even easier with a structured path to mastering AI and Agentforce. Introducing Agentblazer Status Meet Agentblazers—Trailblazers who leverage Salesforce’s digital labor platform to build Agentforce-powered companies. Whether you’re just starting with AI or already developing advanced autonomous agents, Agentblazer Status provides a clear, structured learning path tailored to your expertise level. Your Agentblazer journey includes three levels: Each level is tied to dedicated Trails, including interactive modules and hands-on challenges that build your expertise. As you progress, you’ll earn badges and points that showcase your Agentblazer Status on your Trailblazer Profile. Building the Skills for the Future The skills that got you here today won’t be enough to take you where you need to go next. AI isn’t just a tool—it’s a collaborator. The future of work isn’t about whether you’ll work with AI but how you’ll integrate, manage, and optimize autonomous agents to elevate customer experiences and business operations. That’s why developing Agentforce literacy is essential for every professional. The Agentblazer program provides a structured roadmap to help you move from AI fundamentals to real-world implementation, ensuring you stay ahead in an AI-driven workplace. Join the Agentblazer Community We’re committed to supporting your AI learning journey. That’s why Salesforce is offering the first attempt at the Agentforce Specialist Certification exam free of charge through 2025. Get started today: The AI revolution is here—are you ready to lead it? Let Tectonic guide you! Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 13, 2025in Agentic AI, Data, Salesforce, Technology0 Comments
Scaling AI Systems
11Mar

Scaling AI Systems

Scaling AI Systems: How Salesforce Manages 100,000+ AI Requests Per Minute AI adoption is accelerating, but scaling AI systems to handle massive workloads is a challenge few have mastered. At Salesforce, AI infrastructure supports over 100,000 training and metadata requests per minute—a feat that requires precision engineering, robust orchestration, and resilient architecture. So, how does Salesforce achieve this scale? Key Strategies for Scaling AI Systems 1. Intelligent Orchestration to Manage Demand Handling 100,000+ requests per minute means prioritizing workloads efficiently. Salesforce uses intelligent job orchestration to balance AI training and inference tasks across distributed environments. This ensures resources are allocated optimally without overwhelming systems. 2. Scalable and Fault-Tolerant Infrastructure AI workloads are unpredictable. Salesforce has built a fault-tolerant infrastructure that automatically scales up or down based on demand. This dynamic scaling prevents bottlenecks while ensuring high availability. 3. Metadata-Driven AI Pipelines AI models require continuous updates, and metadata management is key. Salesforce’s AI systems track metadata across training pipelines, enabling seamless model updates and performance monitoring. 4. Distributed Compute for Speed and Efficiency Instead of relying on a single processing hub, Salesforce distributes AI workloads across multiple compute nodes. This reduces latency, improves processing speed, and optimizes resource usage across cloud environments. 5. Robust Monitoring and Automation Scaling AI isn’t just about computing power—it requires proactive monitoring. Salesforce leverages automated observability tools to detect anomalies, optimize processing efficiency, and maintain system health in real time. The Future of AI Scalability As enterprises embrace AI-driven automation, the need for scalable, resilient AI infrastructure will only grow. Salesforce’s approach—combining intelligent orchestration, metadata-driven workflows, and distributed computing—sets a blueprint for managing high-volume AI workloads at scale. For organizations looking to scale AI, the lesson is clear: invest in automation, resilience, and intelligent resource management to unlock AI’s full potential. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 11, 2025in Data, Enterprise, Salesforce0 Comments
11Mar

Salesforce Introduces AgentExchange

Salesforce Introduces AgentExchange: Empowering Businesses with AI-Driven Digital Labor Salesforce has unveiled AgentExchange, a marketplace embedded directly within the Salesforce platform, designed to simplify the way businesses, developers, and partners build, discover, and monetize AI-driven digital labor. This launch extends Salesforce’s Agentforce ecosystem, reinforcing the company’s commitment to accelerating enterprise adoption of advanced, role-based AI agents. Shifting to Role-Based AI AgentExchange arrives as industries shift from task-based automation to standardized, role-based AI agents. These intelligent agents leverage structured metadata to autonomously perform specific business roles, enhancing operational efficiency and scalability. Salesforce joins key industry players like Workday, SAP, and ServiceNow in shaping this emerging landscape. “Agentic AI is transforming the way businesses operate. Traditional software is rigid — it’s clicks, code, and logic. With AI agents, solutions can now observe, reason, and act autonomously, driving digital labor that expands organizational capabilities.” Adam Evans, EVP and GM of Salesforce AI Marketplace Capabilities and Partner Ecosystem AgentExchange launches with over 200 trusted partners, including Google Cloud, DocuSign, Box, and Workday, offering a variety of secure and compliant pre-built components such as: Real-World Use Cases AgentExchange supports solutions across various industries: Metadata-Driven Integration A core feature of AgentExchange is its metadata standardization, which defines agent capabilities, interfaces, and compliance requirements. This metadata-centric approach simplifies integration, reduces deployment complexity, and empowers organizations to adopt AI agents with confidence. Competitive Edge and CRM-Centric Focus Salesforce distinguishes AgentExchange with its strong focus on CRM-related, customer-facing solutions. While competitors like Workday emphasize HR automation and SAP covers broader ERP functions, Salesforce leverages real-time customer data and Slack integration to enhance front-office interactions. This CRM-centric focus equips businesses with tools to improve customer experience management, further differentiating Salesforce in the AI-driven digital labor space. Enabling an Open AI Ecosystem AgentExchange signals Salesforce’s commitment to fostering an open AI ecosystem, empowering partners, developers, and the Agentblazer community to build and monetize AI-driven solutions. The marketplace includes hundreds of vetted solutions designed to accelerate the adoption of intelligent digital labor across industries. Mark Stewart, CEO and President of Goodyear, shared his excitement about the platform: “AgentExchange offers ready-to-use solutions that enhance our speed, efficiency, and customer experience. This innovation aligns perfectly with Goodyear’s focus on delivering value to our customers.” Partner Innovations Key partners are already contributing to AgentExchange with impactful solutions: Driving the Future of Digital Labor Brian Landsman, EVP & GM of Global Business Development & Partnerships at Salesforce, connected AgentExchange to Salesforce’s AppExchange legacy: “When we launched AppExchange in 2005, we unlocked new value for our platform. AgentExchange now builds on that success, inviting partners, startups, and developers to shape the future of digital labor.” AgentExchange empowers organizations to seamlessly adopt trusted AI solutions, enabling developers to leverage partner expertise and integrate industry-specific capabilities directly within Salesforce. This innovative marketplace positions Salesforce as a leader in AI-driven digital transformation, driving efficiency, innovation, and growth in the evolving digital labor economy. Let Tectonic guide you though this exciting new release aimed to get you up and running even faster with Agentforce! Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 11, 2025in AgentExchange, Agentic AI, Data, Enterprise, Google, Salesforce0 Comments
Predictive Analytics for Business Potential
10Mar

Predictive Analytics for Business Potential

Maximizing Business Potential with Predictive Analytics Every business generates vast amounts of data daily, yet not all leverage it effectively. Predictive analytics transforms raw data into actionable insights, enabling companies to forecast demand, reduce operational costs, and enhance customer engagement. Whether through AI-powered models, machine learning algorithms, or cloud-based analytics, predictive analytics is reshaping business strategies. Organizations that integrate predictive analytics into decision-making can anticipate challenges, seize new opportunities, and outperform competitors. This insight explores the significance of predictive analytics and how businesses can harness its power to gain a competitive edge. The Expanding Influence of Predictive Analytics Predictive analytics is revolutionizing industries, driving innovation, and transforming data into strategic advantages. Transforming Industries with Predictive Analytics Predictive analytics is now a cornerstone of modern industries, facilitating smarter decision-making through data-driven insights. By analyzing historical data, businesses can forecast trends, anticipate customer behaviors, and optimize operations. Sectors such as healthcare, retail, and finance are leveraging predictive tools to maintain competitiveness. For example: As industries adopt these solutions, predictive analytics continues to redefine efficiency and innovation. Key Trends in Predictive Analytics Adoption The widespread adoption of predictive analytics is fueled by advancements in AI, big data, and machine learning. Businesses are capitalizing on these trends to sharpen their competitive edge. Notable developments include: As predictive analytics tools become more sophisticated, they are becoming integral to business strategies, helping companies unlock untapped potential. Overcoming Implementation Challenges Despite its benefits, implementing predictive analytics poses challenges, such as data silos, integration complexities, and skill gaps. To address these issues, organizations should: By overcoming these barriers, businesses can fully harness predictive analytics to drive efficiency, innovation, and growth. Predictive Data Modeling for Smarter Decision-Making Predictive data modeling transforms raw data into strategic insights, improving forecasting and operational decision-making. Understanding Predictive Data Modeling Predictive data modeling employs statistical techniques and machine learning algorithms to analyze historical data and predict future trends. Its core components include: By applying these models, businesses can refine their strategies with data-backed insights, improving efficiency and competitiveness. The Role of Data Quality in Predictive Accuracy The effectiveness of predictive models depends on data quality. Inconsistent or outdated data can lead to unreliable predictions, affecting decision-making. Key steps to ensure high data quality include: High-quality data enhances predictive models, enabling businesses to make informed, confident decisions. Enhancing Forecasting with Predictive Data Modeling Predictive data modeling improves forecasting accuracy by analyzing historical trends and projecting future outcomes. Benefits include: Retailers optimize inventory, while manufacturers align production with demand fluctuations, demonstrating the strategic value of predictive modeling. Driving Business Growth with Predictive Analytics Why Businesses Should Adopt Predictive Analytics Now In today’s competitive landscape, predictive analytics is essential for staying ahead. By leveraging data, algorithms, and machine learning, businesses can anticipate risks and opportunities, optimizing strategies while reducing uncertainty. Retailers, for instance, use predictive insights to forecast seasonal demand spikes, ensuring optimal stock levels. As AI advances, predictive analytics is more accessible than ever, making now the ideal time for adoption. Enhancing Decision-Making and Efficiency Predictive analytics eliminates guesswork, empowering leaders with data-backed decisions. Benefits include: These advantages drive sustainable growth and competitive advantage across industries. Seamlessly Integrating Predictive Analytics into Business Workflows To maximize impact, predictive analytics must integrate into existing workflows. Steps for successful adoption include: By embedding predictive analytics into workflows, businesses enhance agility and decision-making capabilities. AI-Powered Predictive Analytics for Competitive Advantage Why AI Predictive Analytics is Transformative AI-powered predictive analytics delivers insights beyond traditional methods, processing vast datasets rapidly to identify complex patterns and trends. Applications include: With AI continuously learning and refining predictions, businesses gain a dynamic advantage. Enhancing Accuracy with AI AI refines predictions by analyzing diverse data sources, including text, images, and videos. Examples include: Advanced AI techniques, such as natural language processing and neural networks, ensure businesses derive actionable insights, driving smarter strategies and better results. Machine Learning’s Role in Predictive Analytics Machine learning (ML) is foundational to predictive analytics, continuously improving model accuracy. Examples include: By leveraging ML, businesses enhance their predictive capabilities, ensuring long-term competitive success. Enhancing Enterprise Solutions with Predictive Analytics Transforming SAP Systems with Predictive Analytics SAP systems integrated with predictive analytics unlock actionable insights from vast datasets. Benefits include: By embedding predictive capabilities, SAP users can optimize operations and drive proactive decision-making. Empowering Salesforce with Predictive Insights Salesforce predictive analytics enhances decision-making across marketing, sales, and customer service. Key capabilities include: With Salesforce Einstein, businesses can streamline operations, boost performance, and foster deeper customer engagement. Predictive analytics is a game-changer, reshaping industries, optimizing operations, and unlocking new growth opportunities. Businesses that embrace predictive analytics today will be well-positioned to navigate future challenges and lead in the data-driven economy. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 10, 2025in Data, Enterprise, Salesforce, Salesforce Einstein0 Comments
The Rise of AI Agents
07Mar

The Rise of AI Agents

The Rise of AI Agents: Salesforce’s Vision for a New Era of Business In just three months, more than 1,000 companies have deployed Salesforce AI agents, unlocking capabilities “they’ve never seen before” and setting the stage for game-changing business outcomes, according to CEO Marc Benioff. That’s a bold prediction—even for a visionary like Benioff, whose track record speaks for itself. But throughout our recent 25-minute conversation for the Cloud Wars CEO Outlook 2025 series, Benioff remained unwavering in his optimism about the AI-powered future. Agentic AI: The Force Driving Business Transformation According to Benioff, AI agents represent the next wave of business transformation, redefining how companies operate, innovate, and compete. “I’ve never been more excited about technology—this is an incredible moment in time,” Benioff said. He described AI agents as the bridge to a future where businesses engage with customers in ways previously thought possible only in science fiction. These AI-driven systems will help organizations operate at lower costs while improving customer relationships and key performance metrics. But Salesforce isn’t just selling this vision to customers—it’s living it. Benioff shared firsthand insights into how the company is leveraging AI to optimize its own operations, revealing lessons that could reshape how enterprises think about productivity and workforce planning. Digital Labor: A Multi-Trillion-Dollar Opportunity One of the most striking takeaways from our conversation was Salesforce’s approach to what Benioff calls “digital labor.” “For 25 years, Salesforce has helped businesses manage data. Now, we’re creating digital workers—AI agents that unlock entirely new ways to operate,” he said. This shift is already making an impact. Salesforce’s Agentforce AI now handles the bulk of the company’s customer support, transforming how its 9,000 service agents manage 36,000 weekly support inquiries: As a result, Salesforce is reallocating 2,000 support professionals to other roles—just one example of how AI is reshaping workforce dynamics. A Radical Rethink: No New Developers in 2025 Perhaps the most surprising revelation? Salesforce is pausing hiring for software engineers in 2025. Benioff explained that despite doubling its engineering team over the past five years, AI has driven a 30% increase in productivity. Rather than hiring more developers, Salesforce is leaning into AI-powered automation to accelerate software development. This shift raises fundamental questions about the future of work: Salesforce vs. Microsoft: Competing Visions for AI Agents AI agents are reshaping enterprise technology, but vendors have differing approaches. Benioff made it clear that Salesforce is taking a unique path—one he believes will ultimately lead the industry. Unlike Microsoft, which is deeply integrating AI within its core applications, Salesforce sees agents as an evolution of its CRM foundation, leveraging the vast 230-petabyte data ecosystem it manages for customers. “The businesses that are closest to their data will win,” Benioff said. “And we’re going to deliver capabilities that our customers have never seen before—ones that will thrill them out of their minds.” The Future: A Billion AI Agents As enterprises race to adopt AI, Benioff predicts an explosion in AI agent deployment. “In the next 12 months, we’ll see thousands of companies deploying up to a billion AI agents. And Salesforce will be the absolute leader in agentic technology for the enterprise,” he said. Benioff’s vision is clear: AI agents aren’t just an enhancement—they are the next frontier of business. And companies that embrace them will lead the way into a new era of efficiency, innovation, and growth. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 7, 2025in Agentic AI, Data, Enterprise, Salesforce, Technology0 Comments
Aligning Strategy and Goals
07Mar

Aligning Strategy and Goals

Aligning Strategy and Goals: Bridging the Gap Between Data and Business Success Aligning data strategy with business goals is critical—but easier said than done. 41% of business leaders report that their data strategy is only partially or not at all aligned with their objectives. Here’s how to close the gap and make data a true driver of business success. 1. Define Your Business Goals Collaboration between business and IT stakeholders is essential. Start by identifying and prioritizing objectives that drive success, such as revenue growth, customer satisfaction, cost reduction, and market expansion. Business Goal How Data Supports It Revenue Growth Use analytics to identify high-value customers and optimize marketing strategies for higher conversions. Customer Satisfaction Leverage trusted customer data to personalize experiences and improve engagement. Cost Reduction Analyze operational data to streamline processes and improve efficiency. Market Expansion Use market and customer insights to identify new growth opportunities. 2. Determine Key Metrics Once goals are clear, define key performance indicators (KPIs) to measure progress. Business Goal Key Metric Revenue Growth Conversion Rate: Measures the percentage of leads converted into paying customers. Customer Satisfaction Retention Rate: Tracks the percentage of returning customers over time. Cost Reduction Operational Efficiency Ratio: Compares operational costs to revenue. Market Expansion Customer Acquisition Rate: Measures the rate of new customer growth. 3. Assess Resources and Budget Evaluate whether you have the systems, tools, and budget needed to support your goals. If customer personalization is a priority, you may need solutions like Data Cloud to unify and leverage customer insights. A strong CRM or data analytics platform may also be required to track specific KPIs. 4. Build a Data-Driven Culture Data maturity is not just about tools—it’s about people. Empower teams with the skills, training, and mindset to leverage data effectively. Change management initiatives and ongoing education will help integrate data into daily decision-making. See how F5 is building a data-driven culture with Tableau:“Data has been transforming our corporate culture right before our eyes. Every day, I wake up learning something new about data.”— Amie Bright, Former RVP of Enterprise Data Strategy and Insights, F5 5. Align Teams for Success Use this handy checklist to ensure alignment across your organization: ✅ Collaborate with business and IT teams to define and prioritize objectives.✅ Develop key data KPIs in partnership with internal stakeholders.✅ Survey team leaders to assess the tools, systems, and budgets needed.✅ Invest in training and change management to build a data-driven culture.✅ Join a data leadership community to gain insights and best practices. Want to accelerate your data strategy? Reach out to Tectonic to get started 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 7, 2025in Data, Enterprise, Salesforce Data Cloud, Technology0 Comments

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