Compliance Archives - gettectonic.com - Page 2

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salesforce agentforce rapid deployment
21Feb

Businesses Face New Challenges

Businesses Face New Challenges: AI as the Key to Better Customer Experiences and EfficiencyModern businesses are under growing pressure to deliver exceptional customer experiences while boosting operational efficiency. To meet these demands, companies are turning to AI-powered solutions at an unprecedented pace. According to Capgemini’s 2024 Report on Harnessing the Value of Generative AI, 82% of organizations plan to integrate autonomous agents into their operations within the next one to three years. Agentforce: Salesforce’s Groundbreaking SolutionDriving this transformation is Salesforce’s Agentforce, launched in late 2024. This cutting-edge platform empowers businesses to build autonomous applications capable of handling customer interactions, automating operational tasks, and enabling employees to focus on strategic priorities. Beyond Chatbots: What Sets Agentforce Apart Unlike traditional chatbots or systems reliant on manual input, Agentforce acts autonomously. It retrieves relevant data, devises actionable plans, and executes tasks seamlessly. Equipped with real-time data capabilities, it adapts dynamically while maintaining compliance with secure, customizable guidelines. Agentforce not only performs tasks efficiently but also ensures contextually relevant and insightful interactions. It transitions tasks to human employees when necessary, providing summarized interactions and actionable recommendations to ensure smooth handoffs. Revolutionizing Customer Service: 24/7 Availability Without Delays Agentforce elevates customer service by engaging with users across various communication channels using natural language. It draws from trusted sources such as CRM systems, internal knowledge bases, and external platforms to deliver accurate and timely responses. For example, customers can use Agentforce to track orders, reschedule appointments, or resolve issues via platforms like WhatsApp or Apple Business Chat. By managing routine inquiries, Agentforce allows human agents to focus on complex, high-empathy issues requiring critical thinking. Supporting Sales Teams: From Lead Nurturing to Closing Deals Sales teams often face time constraints, and Agentforce addresses this by autonomously managing repetitive tasks such as answering product questions, scheduling meetings, and following up with leads. This allows sales professionals to concentrate on high-value deals. Agentforce can also act as an AI sales coach, using CRM data to simulate role-playing scenarios tailored to specific opportunities. This enables sales teams to refine skills like negotiation and objection handling. Notably, organizations that invest in sales coaching report a 16.7% revenue increase, even with minimal managerial input. With Agentforce, this process becomes scalable, offering real-time insights and actionable feedback to enhance performance. Transforming E-Commerce: Personalized Shopping Experiences Agentforce reshapes e-commerce by delivering personalized shopping experiences. Buyer Agents assist customers with natural-language product searches, offering tailored recommendations and enabling conversational reorders via mobile platforms. For returning customers, this creates a seamless, convenient experience. For larger-scale operations, Merchant Agents leverage conversational interfaces to create promotions, analyze store performance, and recommend strategies for improving key metrics. Streamlining Marketing Campaigns with Agentforce Agentforce’s Campaign Agent redefines marketing by automating every stage of the campaign lifecycle. From generating campaign briefs and audience segments to creating personalized content and building customer journeys in Salesforce Flow, the Campaign Agent accelerates workflows with unmatched precision. Using real-time analytics, the Campaign Agent monitors performance and identifies underperforming areas, offering proactive recommendations to optimize campaigns. This eliminates reliance on manual adjustments and ensures campaigns remain agile and effective. Focusing on Strategic Work A key advantage of Agentforce is its ability to handle repetitive tasks, freeing employees to focus on more complex and strategic activities. Whether addressing intricate customer needs, negotiating major deals, or developing innovative strategies, employees can dedicate their energy to driving long-term success. By automating routine processes and providing actionable insights, Agentforce not only enhances operational efficiency but also boosts employee satisfaction. Salesforce’s Bold Vision Salesforce CEO Marc Benioff shared the company’s ambitious goal: “Our vision is to empower one billion agents with Agentforce by the end of 2025. This is what AI is meant to be.” This statement underscores Salesforce’s commitment to delivering transformative AI solutions with tangible impact for businesses worldwide. 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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February 21, 2025in Agentic AI, Data, Generative AI, Salesforce, Salesforce Flow0 Comments
Scope of Generative AI
19Feb

Generative AI Game Changer for Cybersecurity

Generative AI: A Game Changer for Cybersecurity—Both Good and Bad Generative AI is revolutionizing cybersecurity, enabling both cybercriminals and defenders to operate faster, smarter, and at a larger scale. How Hackers Leverage GenAI Cybercriminals are using generative AI to: One real-world example: In early 2024, fraudsters used a deepfake of a multinational company’s CFO to trick an employee into transferring $25 million. How Cybersecurity Teams Use GenAI for Defense Enterprise security teams are adopting generative AI to: According to a 2024 CrowdStrike survey, 64% of cybersecurity professionals are already researching or using AI tools, with 69% planning to invest further within a year. The Risks of AI in Cybersecurity Despite its benefits, AI introduces new risks: Security leaders must balance AI adoption with human oversight to maximize its defensive potential while minimizing unintended risks. As AI continues to shape the cybersecurity landscape, both attackers and defenders must adapt to stay ahead. 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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February 19, 2025in AI Tools, Data, Enterprise, Generative AI, Laws0 Comments
Agentforce Redefines Generative AI
17Feb

The Rise of Agentic AI: Balancing Innovation and Trust

Agentic AI is transforming industries, and Salesforce’s Agentforce is proving to be a catalyst for both economic growth and workforce empowerment. For companies like Wiley, Agentforce has increased case resolutions by 40%, surpassing the performance of its previous chatbot and allowing employees to focus on more complex cases. However, a new Salesforce white paper emphasizes that simply deploying AI agents isn’t enough to drive productivity and build trust—they must operate within well-defined frameworks that ensure responsible AI adoption. “AI has the potential to enhance trust, efficiency, and effectiveness in our institutions,” said Eric Loeb, EVP of Global Government Affairs at Salesforce. “Salesforce research shows 90% of constituents are open to using AI agents for government services, drawn by benefits like 24/7 access, faster response times, and streamlined processes.” Key Considerations for Policymakers in the Age of AI Agents To strike a balance between risk and opportunity, the Salesforce white paper outlines critical areas policymakers must address: 🔹 Human-AI Collaboration – Employees must develop new skills to configure, manage, and oversee AI agents, ensuring they can be easily programmed and adapted for various tasks. 🔹 Reliability & Guardrails – AI agents must be engineered with fail-safes that enable clear handoffs to human workers and mechanisms to detect and correct AI hallucinations. 🔹 Cross-Domain Fluency – AI must be designed to interpret and act on data from diverse sources, making seamless enterprise-wide integrations essential. 🔹 Transparency & Explainability – Users must know when they’re interacting with AI, and regulators need visibility into how decisions are made to ensure compliance and accountability. 🔹 Data Governance & Privacy – AI agents often require access to sensitive information. Strong privacy and security safeguards are crucial to maintaining trust. 🔹 Security & AI Safety – AI systems must be resilient against adversarial attacks that attempt to manipulate or deceive them into producing inaccurate outputs. 🔹 Ethical AI Use – Companies should establish clear ethical guidelines to govern AI behavior, ensuring responsible deployment and human-AI collaboration. 🔹 Agent-to-Agent Interactions – Standardized protocols and security measures must be in place to ensure controlled, predictable AI behavior and auditability of decisions. Building an Agent-Ready Ecosystem While AI agents represent the next wave of enterprise innovation, policy frameworks must evolve to foster responsible adoption. Policymakers must look beyond AI development and equip the workforce with the skills needed to work alongside these digital assistants. “It’s no longer a question of whether AI agents should be part of the workforce—but how to optimize human and digital labor to achieve the best outcomes,” said Loeb. “Governments must implement policies that ensure AI agents are deployed responsibly, creating more meaningful and productive work environments.” Next Steps Salesforce’s white paper provides a roadmap for policymakers navigating the agentic AI revolution. By focusing on risk-based approaches, transparency, and robust safety measures, businesses and governments alike can unlock the full potential of AI agents—while ensuring trust, accountability, and innovation. 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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February 17, 2025in Agentic AI, Data, Enterprise, Salesforce0 Comments
deepseek deep dive
15Feb

DeepSeek iOS App Poses Major Privacy Risks

Security Alert: DeepSeek iOS App Poses Major Privacy Risks Cybersecurity researchers at NowSecure have issued a stark warning about the iOS version of DeepSeek, currently the third most popular app on the App Store. Their analysis reveals serious security flaws, making the app a major privacy risk that users should delete immediately. According to NowSecure’s findings, DeepSeek: Additionally, DeepSeek relies on ByteDance’s Volcano Engine, tying it to TikTok’s parent company, further raising privacy and regulatory concerns. For personal devices, this poses a significant security risk. For company-owned iPhones, the risks are even greater, especially regarding data privacy and compliance. US Regulators Take Action DeepSeek’s security risks have drawn scrutiny from U.S. lawmakers concerned about national security and data privacy. Representatives Josh Gottheimer (D-NJ) and Darin LaHood (R-IL) have introduced the No DeepSeek on Government Devices Act, seeking to ban the app from government-issued phones. While the full text of the bill is not yet available, legislators cite research indicating that DeepSeek’s code is “directly linked to the Chinese Communist Party” and capable of transmitting user data to China Mobile, a Chinese state-owned telecom firm sanctioned by the U.S. For those concerned about data security, the safest approach is to remove DeepSeek from your device and, if necessary, switch to a locally-run model that does not transmit data externally. HPE Warns Employees of Data Breach Meanwhile, Hewlett Packard Enterprise (HPE) has notified employees of a nation-state attack that may have compromised personal data. In a letter sent to staff, HPE disclosed that an unauthorized party accessed its cloud email environment, potentially exposing employee information. While the impact appears limited—only ten employees were affected, according to Massachusetts’ data breach report—the breach raises concerns about targeted cyberattacks on enterprise tech firms. HPE had previously disclosed a similar attack in January 2024, attributing it to Russia’s Cozy Bear hacking group, which is known for infiltrating high-profile networks. Reports suggest this latest breach also targeted Microsoft Office 365 accounts, highlighting ongoing threats to corporate cloud environments. Takeaway From DeepSeek’s security risks to HPE’s cyberattack, these incidents underscore the importance of data privacy, secure app usage, and robust enterprise security measures. Whether for personal or corporate security, staying informed and taking proactive steps is critical in today’s evolving digital landscape. 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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February 15, 2025in Data, Enterprise, Laws0 Comments
Salesforce Life Sciences Cloud and Honeywell
15Feb

Salesforce Life Sciences Cloud and Honeywell

Honeywell’s TrackWise® Quality solution suite, in combination with Salesforce Life Sciences Cloud, will provide a comprehensive software platform for pharmaceutical and medical technology companies. Honeywell has expanded its strategic partnership with Salesforce, Inc. to introduce an integrated software platform designed for the life sciences industry. This platform, which includes Honeywell’s TrackWise Quality, Salesforce Life Sciences Cloud, Agentforce, and other solutions, aims to help pharmaceutical and medical technology companies accelerate the delivery of critical medications and healthcare devices with enhanced safety and cost efficiency. By digitizing and automating quality and compliance processes, Honeywell’s TrackWise Quality enables companies to manufacture products more efficiently, mitigate risks, reduce production costs, and bring safer products to market faster. Salesforce Life Sciences Cloud consolidates diverse data sources—such as clinical test results and medical records—to optimize interactions between pharmaceutical and medtech organizations, healthcare professionals, partners, and patients. This collaboration underscores the shared commitment of Honeywell and Salesforce to advancing automation and efficiency in the life sciences sector. “Our ongoing commitment to providing innovative software to manufacturers of critical life-supporting treatments centers around fostering trust between providers and patients,” said Frank Defesche, SVP & GM, Life Sciences at Salesforce. “The long-standing collaboration between Salesforce and Honeywell strengthens the life sciences industry by enhancing quality interactions and products, ultimately leading to improved patient outcomes.” “Partnering with Salesforce allows us to leverage our combined expertise in life sciences to drive operational efficiency, improve quality, and enhance patient-centric solutions through technology,” said Sunil Pandita, Vice President & General Manager of Honeywell Life Sciences. “From assisting patients in finding life-changing clinical trials to detecting anomalies in pharmaceutical manufacturing, Honeywell and Salesforce technologies are enabling better patient care.” Honeywell’s TrackWise Quality fosters a proactive approach to quality management by integrating industry best practices, advanced tracking and analytics, and artificial intelligence (AI) capabilities. This empowers life sciences companies to harness data more effectively, optimize performance, and enhance decision-making processes. Salesforce Life Sciences Cloud serves as a comprehensive, AI-powered engagement platform for pharmaceutical and medtech companies. Built on Sales Cloud and Service Cloud, it streamlines processes such as automating pharmacy benefit verification and expediting the screening of clinical trial candidates. These enhancements improve patient access, medication adherence, and accelerate diverse patient recruitment while reducing trial attrition. Additional Salesforce solutions within the platform include Agentforce, Data Cloud, and Analytics. As part of its continued commitment to life sciences customers, Honeywell has joined the Salesforce Agentforce Partner Network, a global ecosystem of partners developing solutions for regulatory-compliant training materials for life sciences professionals. To learn more about Honeywell’s industry-leading technologies for life sciences, visit: www.honeywell.com/us/en/industries/life-sciences. Salesforce, Salesforce Life Sciences Cloud, Agentforce, Data Cloud, and other names are trademarks of Salesforce, Inc. About Honeywell Honeywell is a diversified operating company serving a wide range of industries worldwide. Its business aligns with three key megatrends—automation, the future of aviation, and energy transition—supported by the Honeywell Accelerator operating system and Honeywell Forge IoT platform. As a trusted partner, Honeywell helps organizations address complex global challenges, delivering innovative solutions through its Aerospace Technologies, Industrial Automation, Building Automation, and Energy and Sustainability Solutions segments. For more news and updates on Honeywell, visit www.honeywell.com/newsroom. 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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February 15, 2025in Artificial Intelligence, Data, Life Sciences Cloud, Salesforce, Technology0 Comments
Rule-Based vs. Machine Learning Deduplication Approaches
06Feb

Rule-Based vs. Machine Learning Deduplication Approaches

Choosing the Right Tool for Salesforce Deduplication: Rule-Based vs. Machine Learning Approaches When you browse Salesforce AppExchange for a deduplication solution, you’re presented with two primary options: rule-based deduplication tools or machine learning-powered applications. Both have their strengths, but understanding their methods will help you make an informed decision. Below, we’ll explore these approaches and their pros and cons to guide your choice. Why Salesforce’s Built-in Deduplication Falls Short Salesforce, while a powerful CRM, doesn’t excel at large-scale deduplication. Its native tools are limited to basic, rule-based matching, which may struggle with complexities like typos, inconsistent formatting, or unstructured data. Additionally, Salesforce’s deduplication features lack the scalability required for organizations dealing with large datasets or multiple data sources (e.g., third-party integrations, legacy systems). Businesses often need supplemental tools to address overlapping records or inconsistencies effectively. How Rule-Based Deduplication Works Popular rule-based tools on AppExchange, such as Cloudingo, DemandTools, DataGroomr, and Duplicate Check, require users to create filters that define what constitutes a duplicate. For example: Ultimately, the user manually defines the rules, deciding how duplicates are identified and handled. Benefits of Rule-Based Deduplication Drawbacks of Rule-Based Deduplication How Machine Learning-Based Deduplication Works Machine learning (ML)-powered tools rely on algorithms to identify patterns and relationships in data, detecting duplicates that may not be apparent through rigid rules. Key Features of ML Deduplication Techniques Used Benefits of ML-Based Deduplication Drawbacks of ML-Based Deduplication When to Choose Rule-Based vs. Machine Learning Deduplication Choose Rule-Based Deduplication If: Choose Machine Learning-Based Deduplication If: Selecting the Right Deduplication Tool When evaluating tools on AppExchange, consider these factors: Tectonic’s Closing Thoughts Rule-based and machine learning-based deduplication each serve distinct purposes. The right choice depends on your data’s complexity, the resources available, and your organization’s goals. Whether you’re seeking a quick, transparent solution or a powerful, scalable tool, AppExchange offers options to meet your needs and help maintain a clean Salesforce data environment. 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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February 6, 2025in Data, Salesforce0 Comments
Financial Services Sector
04Feb

Fundingo Outshines Mortgage Automator

Why Fundingo Outshines Mortgage Automator: A Salesforce-Based Perspective Introduction In the dynamic world of loan servicing and mortgage management, businesses face increasing demands for flexibility, efficiency, and scalability. While Mortgage Automator is a well-known provider, many users encounter significant challenges, including inflexible loan structures and cumbersome reporting processes. Fundingo, a Salesforce-native solution, addresses these issues head-on with a modern, adaptable, and user-friendly approach to loan management. Pain Points of Mortgage Automator Despite its established presence, Mortgage Automator comes with notable limitations: Fundingo’s Competitive Edge Fundingo offers a suite of advantages designed for modern lending institutions, making it the superior choice: Head-to-Head Comparison Feature Fundingo Mortgage Automator Flexibility High – Supports diverse loan products Limited – Rigid loan structures Reporting Automated and user-friendly Complex and manual processes Integrations Seamless with Salesforce ecosystem Poor integration capabilities Scalability Cost-effective, built-in scalability Expensive add-ons hinder growth Security & Compliance SOC 1 certified Basic security measures Summary Fundingo emerges as the ideal solution for modern loan servicing and mortgage management. By addressing the common challenges associated with Mortgage Automator—rigid loan structures, manual processes, and costly add-ons—Fundingo provides a flexible, scalable, and secure alternative. Its Salesforce-native design, built-in CRM, mobile accessibility, exceptional uptime, and robust security measures make it the best competitor in the market, empowering financial institutions to deliver exceptional service while optimizing operational efficiency. 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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February 4, 2025in Data0 Comments
AI evolves with tools like Agentforce and Atlas
03Feb

Salesforce Atlas

Salesforce Atlas: The Brainpower Behind AI-Driven Transformation A New Era of AI for Enterprise AI is reshaping industries at an unprecedented pace, and agentic AI—AI that can think, plan, and act autonomously—is at the forefront of this revolution. Salesforce is leading the charge with Agentforce, a low-code platform that allows businesses to build, refine, and deploy autonomous AI agents across multiple business functions. At the core of this innovation is Salesforce Atlas, the reasoning engine that empowers Agentforce to tackle complex decision-making tasks just like a human. But Atlas goes further—it continuously learns, adapts, and evolves, setting a new standard for AI-driven enterprises. Let’s explore how Atlas works, its capabilities, and why it’s a game-changer for businesses. Salesforce Atlas: The Reasoning Engine Powering Agentforce Atlas is the intelligent decision-making engine that powers Agentforce’s AI agents. Rather than simply following predefined rules, Atlas evaluates data, refines its approach, and continuously learns from outcomes. When an AI agent encounters a decision point, Atlas asks: ➡️ Do I have enough data to ensure accuracy?✔ If yes, it proceeds with a decision.❌ If no, it seeks additional data or escalates the issue. This iterative learning process ensures that AI agents become more reliable, context-aware, and autonomous over time. Salesforce CEO Marc Benioff teased the potential of Atlas, revealing that: 📊 “We are seeing 90-95% resolution on all service and sales issues with the new Atlas.” That’s a staggering success rate, demonstrating how AI-driven reasoning can transform enterprise efficiency and customer engagement. How Salesforce Atlas Works: The “Flywheel” Process Atlas operates using a structured flywheel process that enables self-improvement and adaptability. Here’s how it works: 1️⃣ Data Retrieval – Atlas pulls structured and unstructured data from the Salesforce Data Cloud.2️⃣ Evaluation – It analyzes the data, generates a plan of action, and assesses whether the plan will drive the desired outcome.3️⃣ Refinement – If the plan isn’t strong enough, Atlas loops back, refines its approach, and iterates until it’s confident in its decision. This cycle repeats continuously, ensuring AI agents deliver accurate, data-driven outcomes that align with business goals. Once a task is completed, Atlas learns from the results, refining its approach to become even smarter over time. The Core Capabilities of Salesforce Atlas Atlas stands out because of its advanced reasoning, adaptive learning, and built-in safeguards—all designed to deliver trustworthy, autonomous AI experiences. 1. Advanced Reasoning & Decision-Making Atlas doesn’t just execute tasks; it thinks critically, determining the best way to approach each challenge. Unlike traditional AI models that follow rigid scripts, Atlas: 🔍 Analyzes real-time data to determine the most effective course of action.📊 Refines its decisions dynamically based on live feedback.🌍 Adapts to changing circumstances to optimize outcomes. At Dreamforce 2024, Marc Benioff demonstrated Atlas’s power by showcasing how it could optimize theme park experiences in real time, analyzing: 🎢 Ride availability👥 Guest preferences🚶 Park flow patterns This real-time decision-making showcases the game-changing potential of agentic AI. 2. Advanced Data Retrieval Atlas leverages Retrieval-Augmented Generation (RAG) to pull highly relevant, verified data from multiple sources. This ensures: ✔ More accurate responses✔ Minimized AI hallucinations✔ Reliable, data-driven insights For example, Saks Fifth Avenue uses Atlas to personalize shopping recommendations for millions of customers—tailoring experiences with precision. 3. Built-in Guardrails for Security & Compliance Salesforce recognizes the importance of AI governance, and Atlas includes robust safeguards to ensure responsible AI usage. 🔐 Ethical AI protocols – Ensures compliance with evolving regulations.🚨 Escalation capabilities – AI knows when to seek human intervention for complex issues.🌍 Hyperforce security – Provides enterprise-grade privacy and security standards. These protections ensure Atlas operates securely, responsibly, and at scale across global enterprises. 4. Reinforcement Learning & Continuous Improvement Atlas doesn’t just process data—it learns from outcomes. 🔄 Refines decisions based on real-world results📈 Optimizes performance over time⚡ Becomes increasingly efficient and tailored to business needs Whether it’s increasing sales conversions, resolving service issues, or optimizing workflows, Atlas ensures AI agents grow smarter with every interaction. Why Salesforce Atlas is a Game-Changer Salesforce Atlas isn’t just another AI tool—it’s the brain behind Salesforce’s next-generation AI ecosystem. With Atlas, businesses can: ✅ Automate complex tasks with AI-driven decision-making.✅ Deliver hyper-personalized customer experiences with confidence.✅ Scale AI-powered workflows across sales, service, and operations.✅ Ensure compliance and trust with built-in governance measures.✅ Adapt AI capabilities to meet evolving business needs. Marc Benioff envisions Atlas as the core of a future where AI and humans collaborate to drive innovation and efficiency. By combining advanced reasoning, dynamic adaptability, and enterprise security, Atlas empowers organizations to work smarter, faster, and more effectively—unlocking the full potential of agentic AI. The future of AI-driven enterprise has arrived. With Salesforce Atlas, businesses can build AI agents that don’t just follow instructions—they think, learn, and evolve. 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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February 3, 2025in Agentforce Platform, Agentic AI, Data, Enterprise, Hyperforce, Salesforce, Salesforce Data Cloud0 Comments
copilots and agentic ai
03Feb

Transforming Industries and Redefining Workflows

The Rise of Agentic AI: Transforming Industries and Redefining Workflows Artificial Intelligence (AI) is evolving faster than we anticipated. No longer limited to predicting outcomes or generating content, AI systems are now capable of handling complex tasks and making autonomous decisions. This new era—driven by Agentic AI—is set to redefine the workplace and transform industries. From Prediction to Autonomy: The Three Waves of AI To understand where we’re headed, it’s important to see how far AI has come. Arun Parameswaran, SVP & MD of Salesforce India, describes it as a fundamental shift: “What has changed with agents is their ability to handle complex reasoning… and, most importantly, to take action.” Unlike previous AI models that recommend or predict, Agentic AI executes tasks, reshaping customer experiences and operational workflows. Agentic AI in Action: Industry Applications At a recent Mint x Salesforce India deep-dive event on AI, industry leaders explored how Agentic AI is driving transformation across sectors. The panel featured: Here’s how Agentic AI is already making an impact: 1. Revolutionizing Customer Support Traditional chatbots have limited capabilities. Agentic AI, however, understands urgency and context. 2. Accelerating Business Decisions In finance and supply chain management, AI agents analyze vast amounts of data and execute decisions autonomously. 3. Transforming Travel & Aviation Airlines are leveraging AI to optimize booking systems, reduce costs, and enhance efficiency. 4. Automating Wealth Management AI agents in financial services monitor markets, adjust strategies, and offer personalized investment recommendations in real time. The Risks & Responsibilities of Agentic AI With great autonomy comes great responsibility. The potential of Agentic AI is vast—but so are the challenges: The Future of Work: AI as a Partner, Not a Replacement Despite concerns about job displacement, AI is more likely to reshape rather than replace roles. What Are AI Agents? AI agents go beyond traditional models like ChatGPT or Gemini. They are proactive, self-learning systems that: They fall into two categories: “AI agents don’t just wait for commands; they anticipate needs and act,” says Dr. Tomer Simon, Chief Scientist at Microsoft Research Israel. AI Agents in the Workplace: A Shift in Roles AI agents streamline processes, but they don’t eliminate the need for human oversight. Salesforce’s Agentforce is a prime example: “Companies need to integrate AI, not fear it. Those who fail to adopt AI tools risk drowning in tasks AI can handle,” warns Dr. Omri Allouche, Chief Scientist at Gong. The Road Ahead: AI-Driven Business Growth Agentic AI is not about replacing people—it’s about empowering them. As organizations re-evaluate workflows and embrace AI collaboration, the companies that act early will gain a competitive edge in efficiency and innovation. Final Thought The AI revolution is here, and Agentic AI is at its forefront. The key question isn’t whether AI will transform industries—it’s how organizations will adapt and thrive in this new era. 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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February 3, 2025in Agentic AI, AI Tools, Artificial Intelligence, Data, Generative AI, Google, Laws, Salesforce, Technology0 Comments
AI Agents and Work
29Jan

Maximizing Generative AI in Learning and Development

Maximizing Generative AI in Learning and DevelopmentHow organisations can harness the power of generative AI to enhance learning and development with strategic integration, best practices, and a culture of continuous growth CREDIT: This is an edited version of an article originally published on Vistage Organisations are increasingly recognising the value of generative AI in learning and development. While your employees may already be using it, they may not yet be maximising its potential due to limited resources or understanding. This article offers strategies for organisations to more effectively leverage generative AI and amplify its impact on their teams. A global survey of 14,000 workers by Salesforce in late 2023 revealed that 28% were already using generative AI at work, with over half doing so without formal approval. Similarly, a 2023 McKinsey report echoed these findings, and these numbers are likely even higher now. A recent study by Harvard Business School and Boston Consulting Group (BCG) highlighted the transformative impact of AI, showing that consultants using generative AI completed tasks 22% faster and produced 40% higher quality work compared to those not using it. Unlocking AI Insights Begin by conducting an internal survey to better understand how your employees are using generative AI. Gather data on the tools they use, how often they use them, and how these tools enhance their work. Frame the survey as an opportunity to learn about their experiences rather than as an evaluation or compliance check. Once you’ve analysed the results, identify employees who are using generative AI in creative and effective ways. These individuals—often informal leaders—can provide valuable insights into the practical applications of AI, as well as the challenges they face and how they overcome them. Fostering a Learning Culture Incorporating generative AI into your organisation’s learning and development strategy helps employees tap into the knowledge of early adopters while aligning AI use with broader organisational goals. Cultivate a culture that prioritises continuous learning and upskilling to stay ahead in the rapidly evolving AI landscape. Regularly update training materials to reflect new advancements in AI. Provide opportunities for employees to attend conferences, webinars, and other educational events to stay current. Encourage peer learning by fostering a culture where employees are motivated to share their experiences, tips, and best practices with one another. Developing Best Practices Leverage the expertise of your AI pioneers to establish best practices that are tailored to your organisation’s needs. Create a collaborative environment where these early adopters can share their experiences and insights, and involve them in the development of formal training programs. This ensures that the content is both relevant and practical for your workforce. Pilot these best practices with a small, controlled group of employees before rolling them out more broadly. This allows you to gather feedback, refine the practices, and address any issues. Additionally, create comprehensive guides, FAQs, and video tutorials to give employees easy access to the information they need. Tracking the progress and outcomes of your AI-related learning initiatives is essential. Use data to customise learning experiences and promote a growth mindset among employees. By integrating generative AI into your learning and development strategy, you can tap into internal expertise to drive innovation and improve efficiency across the organisation. 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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January 29, 2025in Data, Generative AI
ai in marketing
27Jan

Guide to AI in Marketing

The Ultimate Guide to AI in Marketing AI-powered algorithms and machine learning are revolutionizing the marketing landscape by enabling swift processing and analysis of vast datasets. Unlike traditional methods, AI efficiently organizes large volumes of data in real time, redefining how marketing strategies are created and executed. Marketing success hinges on effective data utilization, precise targeting, engaging content, and seamless workflows. AI simplifies these complexities, making them more accessible, scalable, and impactful. Here’s how AI transforms modern marketing. Unleashing AI’s Potential in Marketing AI has become a cornerstone for enhancing customer experiences and boosting marketing productivity. However, to fully leverage AI, it’s essential to understand its capabilities and implementation strategies. Think of AI as your vehicle for uncovering actionable customer insights, optimizing campaigns, and creating tailored customer experiences. While the pace of AI’s evolution may seem overwhelming, this guide will help you take control and confidently drive your AI-powered marketing efforts. Future Trends in Generative AI and Marketing Generative AI is unlocking new possibilities in customer engagement. This guide explores the challenges, advantages, and emerging trends in AI-driven marketing. From attracting customers to maximizing ROI, you’ll discover best practices and real-world examples of successful AI adoption. How AI Works in Marketing AI uses advanced algorithms and pattern recognition to simulate human intelligence in processing data. Through machine learning and deep learning, it identifies trends, predicts outcomes, and automates tasks typically requiring human intervention. Like humans learning from experience, AI improves with practice. It rapidly identifies consumer preferences, behaviors, and purchasing patterns. Two primary types of AI stand out in marketing: These AI types work together—predictive AI extracts insights from data, while generative AI uses those insights to create personalized content and solutions. This synergy enables marketers to automate tasks, segment audiences, and deliver tailored messaging based on individual preferences. AI in Action: Enhancing Customer Engagement AI enables marketers to engage with customers more effectively by: The Power of AI-Driven Marketing Analytics AI-powered analytics revolutionize decision-making by identifying patterns and offering actionable insights. Marketers can use AI tools to: Maximizing ROI with AI AI enables businesses to expand audience reach, improve conversion rates, and enhance customer relationships through personalized content and product recommendations. Its real-time analytics empower marketers to make informed decisions, while automation frees up time for strategic innovation. Navigating Challenges in AI Marketing AI’s potential comes with challenges, including: By prioritizing ethical practices, transparent data policies, and robust compliance measures, marketers can overcome these obstacles and leverage AI responsibly. Best Practices for AI-Driven Marketing To maximize the benefits of AI, marketers should: The Future: AI Copilots in Marketing AI copilots—conversational AI integrated into platforms—are transforming marketing workflows. These tools draft content, provide recommendations, and offer guidance based on CRM data, significantly enhancing efficiency. Looking Ahead: Emerging Trends in AI Marketing Over the next two years, advancements in AI will continue to reshape marketing. Key trends include: By embracing these advancements, marketers can deliver exceptional customer experiences, drive business growth, and stay competitive in an evolving digital landscape. AI is not just a tool—it’s a transformative force. By integrating AI into your marketing strategy, you can unlock unparalleled opportunities to engage customers, optimize campaigns, and propel your organization into 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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January 27, 2025in AI Tools, Data, Generative AI
Public Sector Spring 25 Advances
24Jan

Public Sector Spring 25 Advances

The Salesforce Spring ’25 Release: Transforming Public Sector Operations The Salesforce Spring ’25 release has arrived, bringing transformative updates to public sector workflows, including faster document generation, AI-powered household insights, and smarter grantmaking processes. At Tectonic, we’re passionate about driving digital transformation for our clients. Here’s a deep dive into the key enhancements and how they can elevate your public sector operations. 1. Faster, More Flexible Document Generation OmniStudio Document Generation 2.0 introduces significant improvements in speed and flexibility for public sector workflows. With higher batch limits, support for custom fonts, and a document previewer, teams can generate documents more efficiently and accurately. Whether you’re managing applications, approvals, or citizen communications, this update reduces processing times and enhances overall workflows. This transition also improves performance by moving PDF generation from client-side to server-side, ensuring a seamless upgrade with minimal regression impact. The enhanced functionality makes it easier to handle high-demand periods and large document volumes. Pro Tip: Transition to OmniStudio Document Generation 2.0 before Document Generation 1.0 is retired in July 2025. Use the preview tool to refine templates during peak times. 2. AI-Powered Household Overviews for Caseworkers Salesforce Generative AI introduces a new household overview feature, empowering caseworkers with detailed insights into benefit applicants’ households. This tool streamlines eligibility assessments, enabling faster and more accurate decisions. It even automates energy savings calculations for Clean Energy Programs, aligning citizen support with sustainability goals. By simplifying data collection and decision-making, caseworkers can focus on high-priority cases, ensuring faster and more equitable approvals. Pro Tip: Pair this feature with Energy Cloud insights to enhance decision-making and allocate resources more effectively for citizens in need. 3. Supercharge Grantmaking with Stage Management Stage Management automates key grantmaking tasks, ensuring compliance and improving efficiency. Grant managers can bulk-assign reviews, reducing manual workload and freeing up time for high-priority tasks. This feature provides better control by defining each stage of the grant process, enabling faster and more accurate progress. With automated workflows and robust progress tracking, Stage Management ensures timely execution of grant operations. Pro Tip: Use automated workflows to manage multiple grants simultaneously, ensuring deadlines are met and every stage is completed on time. 4. Empower Employees with Personalized Care Plans Spring ’25 introduces personalized care plans, a game-changer for public sector organizations. These plans allow agencies to create and assign tailored growth and well-being strategies for employees. By setting customizable goals and aligning benefits with individual needs, organizations can foster a supportive work environment that drives employee engagement and retention. This targeted approach enhances morale and supports professional development, making it invaluable for workforce motivation and talent retention. Pro Tip: Use personalized care plans during onboarding to set new hires up for success or integrate them into professional development initiatives for ongoing growth and engagement. 5. Unified Voice Routing for Seamless Citizen Interaction (Beta) Unified Voice Routing consolidates communication channels in Salesforce, streamlining citizen interactions. By routing voice calls based on skills or specific representatives, public sector teams can reduce wait times and deliver more effective service. This feature also introduces a new Reassign button, enabling teams to transfer work between queues, service reps, AI agents, skills, or Omni-Channel flows. Reassigned tasks are automatically routed to the correct destination. Pro Tip: Combine Unified Voice Routing with Amazon Connect to route calls to the most qualified representatives, ensuring quick and effective resolutions. Conclusion The Salesforce Spring ’25 updates are a game-changer for public sector organizations, enabling teams to deliver faster, more efficient, and more impactful services. From AI-powered household insights to smarter grantmaking and seamless communication, these tools empower organizations to better serve their communities. At Tectonic, we’re excited to help you leverage these updates to optimize your operations and make a greater impact in your community. Want to learn more about how these tools can transform your workflows? Contact us today, and let’s explore the possibilities together! 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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January 24, 2025in Data, Generative AI, Salesforce
AI Market Heat
23Jan

AI Market Heat

Alibaba Feels the Heat as DeepSeek Shakes Up AI Market Chinese tech giant Alibaba is under pressure following the release of an AI model by Chinese startup DeepSeek that has sparked a major reaction in the West. DeepSeek claims to have trained its model—comparable to advanced Western AI—at a fraction of the cost and with significantly fewer AI chips. In response, Alibaba launched Qwen 2.5-Max, its latest AI language model, on Tuesday—just one day before the Lunar New Year, when much of China’s economy typically slows down for a 15-day holiday. A Closer Look at Qwen 2.5-Max Qwen 2.5-Max is a Mixture of Experts (MoE) model trained on 20 trillion tokens. It has undergone supervised fine-tuning and reinforcement learning from human feedback to enhance its capabilities. MoE models function by using multiple specialized “minds,” each focused on a particular domain. When a query is received, the model dynamically routes it to the most relevant expert, improving efficiency. For instance, a coding-related question would be processed by the model’s coding expert. This MoE approach reduces computational requirements, making training more cost-effective and faster. Other AI vendors, such as France-based Mistral AI, have also embraced this technique. DeepSeek’s Disruptive Impact While Qwen 2.5-Max is not a direct competitor to DeepSeek’s R1 model—the release of which triggered a global selloff in AI stocks—it is similar to DeepSeek-V3, another MoE-based model launched earlier this month. Alibaba’s swift release underscores the competitive threat posed by DeepSeek. As the world’s fourth-largest public cloud vendor, Alibaba, along with other Chinese tech giants, has been forced to respond aggressively. In the wake of DeepSeek R1’s debut, ByteDance—the owner of TikTok—also rushed to update its AI offerings. DeepSeek has already disrupted the AI market by significantly undercutting costs. In 2023, the startup introduced V2 at just 1 yuan ($0.14) per million tokens, prompting a price war. By comparison, OpenAI’s GPT-4 starts at $10 per million tokens—a staggering difference. The timing of Alibaba and ByteDance’s latest releases suggests that DeepSeek has accelerated product development cycles across the industry, forcing competitors to move faster than planned. “Alibaba’s cloud unit has been rapidly advancing its AI technology, but the pressure from DeepSeek’s rise is immense,” said Lisa Martin, an analyst at Futurum Group. A Shifting AI Landscape DeepSeek’s rapid growth reflects a broader shift in the AI market—one driven by leaner, more powerful models that challenge conventional approaches. “The drive to build more efficient models continues,” said Gartner analyst Arun Chandrasekaran. “We’re seeing significant innovation in algorithm design and software optimization, allowing AI to run on constrained infrastructure while being more cost-competitive.” This evolution is not happening in isolation. “AI companies are learning from one another, continuously reverse-engineering techniques to create better, cheaper, and more efficient models,” Chandrasekaran added. The AI industry’s perception of cost and scalability has fundamentally changed. Sam Altman, CEO of OpenAI, previously estimated that training GPT-4 cost over $100 million—but DeepSeek claims it built R1 for just $6 million. “We’ve spent years refining how transformers function, and the efficiency gains we’re seeing now are the result,” said Omdia analyst Bradley Shimmin. “These advances challenge the idea that massive computing power is required to develop state-of-the-art AI.” Competition and Data Controversies DeepSeek’s success showcases the increasing speed at which AI innovation is happening. Its distillation technique, which trains smaller models using insights from larger ones, has allowed it to create powerful AI while keeping costs low. However, OpenAI and Microsoft are now investigating whether DeepSeek improperly used their models’ data to train its own AI—a claim that, if true, could escalate into a major dispute. Ironically, OpenAI itself has faced similar accusations, leading some enterprises to prefer using its models through Microsoft Azure, which offers additional compliance safeguards. “The future of AI development will require stronger security layers,” Shimmin noted. “Enterprises need assurances that using models like Qwen 2.5 or DeepSeek R1 won’t expose their data.” For businesses evaluating AI models, licensing terms matter. Alibaba’s Qwen 2.5 series operates under an Apache 2.0 license, while DeepSeek uses an MIT license—both highly permissive, allowing companies to scrutinize the underlying code and ensure compliance. “These licenses give businesses transparency,” Shimmin explained. “You can vet the code itself, not just the weights, to mitigate privacy and security risks.” The Road Ahead The AI arms race between DeepSeek, Alibaba, OpenAI, and other players is just beginning. As vendors push the limits of efficiency and affordability, competition will likely drive further breakthroughs—and potentially reshape the AI landscape faster than anyone anticipated. 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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January 23, 2025in Data, Enterprise, Technology

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