Artificial Intelligence Archives - gettectonic.com
AI Agents and Open APIs

The Future of AI Agents

The Future of AI Agents: A Symphony of Digital Intelligence Forget simple chatbots—tomorrow’s AI agents will be force multipliers, seamlessly integrating into our workflows, anticipating needs, and orchestrating complex tasks with near-human intuition. Powered by platforms like Agentforce (Salesforce’s AI agent builder), these agents will evolve in five transformative ways: 1. Beyond Text: Multimodal AI That Sees, Hears, and Understands Today’s AI agents mostly process text, but the future belongs to multimodal AI—agents that interpret images, audio, and video, unlocking richer, real-world applications. How? Neural networks convert voice, images, and video into tokens that LLMs understand. Salesforce AI Research’s xGen-MM-Vid is already pioneering video comprehension. Soon, agents will respond to spoken commands, like:“Analyze Q2 sales KPIs—revenue growth, churn, CAC—summarize key insights, and recommend two fixes.”This isn’t just about speed; it’s about uncovering hidden patterns in data that humans might miss. 2. Agent-to-Agent (A2A) Collaboration: The Rise of AI Teams Today’s AI agents work solo. Tomorrow, specialized agents will collaborate like a well-oiled team, multiplying efficiency. Human oversight remains critical—not for micromanagement, but for ethics, strategy, and alignment with human goals. 3. Orchestrator Agents: The AI “Managers” of Tomorrow Teams need leaders—enter orchestrator agents, which coordinate specialized AIs like a restaurant GM oversees staff. Example: A customer service request triggers: The orchestrator integrates all inputs into a seamless, on-brand response. Why it matters: Orchestrators make AI systems scalable and adaptable. New tools? Just plug them in—no rebuilds required. 4. Smarter Reasoning: AI That Thinks Like You Today’s AI follows basic commands. Tomorrow’s will analyze, infer, and strategize like a human colleague. Example: A marketing AI could: Key Advances: As Anthropic’s Jared Kaplan notes, future agents will know when deep reasoning is needed—and when it’s overkill. 5. Infinite Memory: AI That Never Forgets Current AI has the memory of a goldfish—each interaction starts from scratch. Future agents will retain context across sessions, like a human recalling notes. Impact: The Bottom Line The next generation of AI agents won’t just assist—they’ll augment human potential, turning complex workflows into effortless collaborations. With multimodal perception, team intelligence, advanced reasoning, and infinite memory, they’ll redefine productivity across industries. The future isn’t just AI—it’s AI working for you, with you, and ahead of 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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The Promise of AI in Health Outcomes

10 AI Healthcare Trends Shaping the Future

10 AI Healthcare Trends Shaping the Future (2025 & Beyond) Artificial intelligence is transforming healthcare at an unprecedented pace. With a projected 49% CAGR through 2030 (MarketsandMarkets) and generative AI accelerating innovation, hospitals, clinics, and insurers are integrating AI into clinical workflows, diagnostics, and operations. Here are the 10 biggest AI healthcare trends to watch: 1. AI Chatbots for Patient Engagement “AI chatbots cut our call center volume by 30% while improving response times.” —Jordan Archer, COO, Tryon Medical Partners 2. AI-Powered Clinical Documentation 3. Unstructured Data Analysis 4. AI Radiology & Imaging Assistants 5. Robotic Surgery & Automation 6. AI in Physical Therapy 7. AI-Generated Fitness & Wellness Plans 8. Automated Revenue Cycle Management 9. Predictive Supply Chain Optimization 10. AI-Driven Business Strategy Challenges: Equity & Adoption While AI offers immense potential, smaller clinics and rural hospitals risk falling behind due to: “We must ensure equitable access—AI shouldn’t just benefit large health systems.” —Dr. Margaret Lozovatsky, AMA The Future of AI in Healthcare ✅ 2025-2030: AI becomes standard in EHRs, diagnostics, and surgery✅ Generative AI drafts treatment plans, research papers, and insurance appeals✅ Regulatory frameworks evolve to ensure safety & fairness Bottom Line: AI isn’t replacing doctors—it’s empowering them to work smarter, faster, and more precisely. Which trend will impact your organization most? 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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state space search in ai

State Space Search

State space search is a problem-solving technique in AI where the focus is on exploring the space of all possible states to find a path to a desired goal state. It entails representing a problem as a graph or tree where nodes represent states and edges represent transitions between them. By systematically navigating this state space, AI systems can find solutions to complex tasks like puzzle-solving, robotics, and planning.  1. Representing Problems as State Spaces:  2. The Search Process: 3. Applications of State Space Search: 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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agetnforce for nonprofits

AgentForce Flex Pricing

Salesforce Introduces Flexible Pricing for Agentforce to Accelerate AI Adoption Across Enterprises Salesforce, the global leader in AI-powered CRM, last week announced a new flexible pricing model for Agentforce, its digital labor platform, designed to meet surging demand for AI-driven automation across every employee, department, and business process. As AI adoption accelerates, CIOs face mounting pressure to balance innovation with cost control. According to Salesforce’s CIO AI Trends research, 90% of IT leaders say managing AI expenses is hindering their ability to drive value—a challenge underscored by recent findings from CIO.com. To address this, Salesforce is introducing three groundbreaking pricing innovations that empower businesses to scale AI adoption efficiently, align costs with outcomes, and adapt investments as needs evolve: 1. Flex Credits: Pay Only for the AI Actions You Use Moving beyond traditional per-conversation pricing, Salesforce now offers Flex Credits, a consumption-based model where customers pay only for the specific AI actions performed—whether updating records, automating workflows, or resolving cases. 2. Flex Agreement: Shift Investments Between Human & Digital Labor The new Flex Agreement allows organizations to dynamically reallocate budgets—converting user licenses into Flex Credits (or vice versa)—ensuring optimal resource allocation as business priorities shift. 3. Agentforce User Licenses & Add-Ons: Unlimited AI for Every Employee Salesforce is simplifying AI adoption with per-user-per-month (PUPM) pricing, offering unlimited employee-facing AI agent usage. Seamlessly integrated with Salesforce and Slack, these licenses eliminate usage caps, enabling businesses to deploy AI at scale across sales, service, HR, and IT. Industry & Customer Reactions Availability & Pricing With this move, Salesforce reinforces its commitment to making AI accessible, scalable, and cost-effective for enterprises 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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Grok 3 Model Explained

Grok 3 Model Explained: Everything You Need to Know xAI has introduced its latest large language model (LLM), Grok 3, expanding its capabilities with advanced reasoning, knowledge retrieval, and text summarization. In the competitive landscape of generative AI (GenAI), LLMs and their chatbot services have become essential tools for users and organizations. While OpenAI’s ChatGPT (powered by the GPT series) pioneered the modern GenAI era, alternatives like Anthropic’s Claude, Google Gemini, and now Grok (developed by Elon Musk’s xAI) offer diverse choices. The term grok originates from Robert Heinlein’s 1961 sci-fi novel Stranger in a Strange Land, meaning to deeply understand something. Grok is closely tied to X (formerly Twitter), where it serves as an integrated AI chatbot, though it’s also available on other platforms. What Is Grok 3? Grok 3 is xAI’s latest LLM, announced on February 17, 2025, in a live stream featuring CEO Elon Musk and the engineering team. Musk, known for founding Tesla, SpaceX, and acquiring Twitter (now X), launched xAI on March 9, 2023, with the mission to “understand the universe.” Grok 3 is the third iteration of the model, built using Rust and Python. Unlike Grok 1 (partially open-sourced under Apache 2.0), Grok 3 is proprietary. Key Innovations in Grok 3 Grok 3 excels in advanced reasoning, positioning it as a strong competitor against models like OpenAI’s o3 and DeepSeek-R1. What Can Grok 3 Do? Grok 3 operates in two core modes: 1. Think Mode 2. DeepSearch Mode Core Capabilities ✔ Advanced Reasoning – Multi-step problem-solving with self-correction.✔ Content Summarization – Text, images, and video summaries.✔ Text Generation – Human-like writing for various use cases.✔ Knowledge Retrieval – Accesses real-time web data (especially in DeepSearch mode).✔ Mathematics – Strong performance on benchmarks like AIME 2024.✔ Coding – Writes, debugs, and optimizes code.✔ Voice Mode – Supports spoken responses. Previous Grok Versions Model Release Date Key Features Grok 1 Nov. 3, 2023 Humorous, personality-driven responses. Grok 1.5 Mar. 28, 2024 Expanded context (128K tokens), better problem-solving. Grok 1.5V Apr. 12, 2024 First multimodal version (image understanding). Grok 2 Aug. 14, 2024 Full multimodal support, image generation via Black Forest Labs’ FLUX. Grok 3 vs. GPT-4o vs. DeepSeek-R1 Feature Grok 3 GPT-4o DeepSeek-R1 Release Date Feb. 17, 2025 May 24, 2024 Jan. 20, 2025 Developer xAI (USA) OpenAI (USA) DeepSeek (China) Reasoning Advanced (Think mode) Limited Strong Real-Time Data DeepSearch (web access) Training data cutoff Training data cutoff License Proprietary Proprietary Open-source Coding (LiveCodeBench) 79.4 72.9 64.3 Math (AIME 2024) 99.3 87.3 79.8 How to Use Grok 3 1. On X (Twitter) 2. Grok.com 3. Mobile App (iOS/Android) Same subscription options as Grok.com. 4. API (Coming Soon) No confirmed release date yet. Final Thoughts Grok 3 is a powerful reasoning-focused LLM with real-time search capabilities, making it a strong alternative to GPT-4o and DeepSeek-R1. With its DeepSearch and Think modes, it offers advanced problem-solving beyond traditional chatbots. Will it surpass OpenAI and DeepSeek? Only time—and benchmarks—will tell.  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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AI Agent Revolution

The Salesforce AI Agent Maturity Model

The Salesforce AI Agent Maturity Model: A Roadmap for Scaling Intelligent Automation With 84% of CIOs believing AI will be as transformative as the internet, strategic adoption is no longer optional—it’s a competitive imperative. Yet many organizations struggle with where to begin, how to scale AI agents, and how to measure success. To help enterprises navigate this challenge, Salesforce has introduced the Agentic Maturity Model, a four-stage framework that guides businesses from basic automation to advanced, multi-agent ecosystems. “While agents can be deployed quickly, scaling them effectively requires a thoughtful, phased approach,” said Shibani Ahuja, SVP of Enterprise IT Strategy at Salesforce. “This model provides a clear roadmap to help organizations progress toward higher levels of AI maturity.” How Leading Companies Are Using the Framework Wiley: Building a Future-Ready AI Foundation “Visionary leadership is essential in today’s rapidly evolving AI landscape,” said Kevin Quigley, Director of Process Improvement at Wiley. “Salesforce’s framework ensures the building blocks we create today will support our long-term AI strategy.” Alpine Intel: Accelerating Efficiency in Insurance “Every minute saved counts in our high-volume claims business,” said Kelly Bentubo, Director of Architecture at Alpine Intel. “This model brings clarity to scaling AI—helping us move from time-saving automations to advanced multi-agent applications.” The Four Levels of Agentic Maturity Level 0: Fixed Rules & Repetitive Tasks (Chatbots & Co-pilots) What it is: Basic automation with no reasoning—think FAQ bots or scripted workflows.Example: A chatbot handling password resets via predefined decision trees. How to Advance to Level 1:✔ Identify rigid processes ripe for AI reasoning.✔ Measure time/cost savings from automation.✔ Start with low-risk, employee-facing agents. Level 1: Information Retrieval Agents What it is: AI that fetches data and suggests actions (but doesn’t act alone).Example: A support agent recommending troubleshooting steps from a knowledge base. How to Advance to Level 2:✔ Shift from recommendations to autonomous actions.✔ Improve data quality and governance.✔ Track metrics like case deflection and CSAT. Level 2: Simple Orchestration (Single Domain) What it is: Agents automating multi-step tasks within one system.Example: Scheduling meetings + sending follow-ups using calendar/email data. How to Advance to Level 3:✔ Choose between specialized agents or a “mega-agent.”✔ Extend capabilities with API integrations.✔ Design scalable architecture for future growth. Level 3: Complex Orchestration (Cross-Domain) What it is: AI coordinating workflows across departments (e.g., sales + service).Example: An agent analyzing CRM, support tickets, and financial data to optimize deals. How to Advance to Level 4:✔ Build a universal communication layer for agents.✔ Implement dynamic agent discovery & governance.✔ Measure ROI via cost savings and revenue impact. Level 4: Multi-Agent Ecosystems What it is: AI teams collaborating across systems with human oversight.Example: Agents processing orders, managing inventory, and routing feedback in real time. Maximizing Value:✔ Strengthen security for ecosystem-wide AI.✔ Develop new business models powered by agent collaboration.✔ Track revenue growth, retention, and operational efficiency. Beyond Technology: Key Implementation Factors “AI success hinges on more than just tech,” notes Ahuja. Organizations must: By addressing these pillars, businesses can accelerate AI adoption—turning experimentation into scalable, measurable value. Contact Tectonic today to harness the power of AI and move along the AI Agent maturity continuum. 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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Transformative Potential of AI in Healthcare

The Hidden Environmental Cost of Health AI

The Hidden Environmental Cost of Health AI: Why Sustainability Can’t Wait AI in Healthcare: A Double-Edged Sword AI is revolutionizing healthcare with:✅ Early disease detection (e.g., AI radiology tools)✅ Predictive analytics for personalized treatment✅ Automated admin tasks reducing clinician burnout Yet, its carbon footprint is staggering: Why Healthcare Must Act Now 3 Steps to a Greener Health AI Strategy 1. Adopt Energy-Efficient AI Models 2. Demand Transparency from Vendors 3. Implement an AI Sustainability Framework Factor Action Item Model Selection Opt for models with lower FLOPs (floating-point operations) Data Efficiency Use synthetic data where possible Hardware Deploy on carbon-neutral cloud providers Lifecycle Audit & retire unused AI workloads “We can’t sacrifice our planet for short-term AI gains. Healthcare must lead in sustainable innovation.”—Dr. Manijeh Berenji, UC Irvine The Bottom Line Health AI is indispensable—but so is preserving a livable planet. By adopting energy-conscious AI practices, healthcare can advance medicine without accelerating climate change. Next Steps: Sustainable AI starts with awareness. 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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Natural Language Processing Explained

Exploring 3 Types of Natural Language Processing in Healthcare

Healthcare generates vast amounts of unstructured, text-based data—primarily in the form of clinical notes stored in electronic health records (EHRs). While this data holds immense potential for improving patient outcomes, extracting meaningful insights from it remains a challenge. Natural language processing (NLP) offers a solution by enabling healthcare stakeholders to analyze and interpret this data efficiently. NLP technologies can support population health management, clinical decision-making, and medical research by transforming unstructured text into actionable insights. Despite the excitement around NLP in healthcare—particularly amid clinician burnout and EHR inefficiencies—its two core components, natural language understanding (NLU) and natural language generation (NLG), receive less attention. This insight explores NLP, NLU, and NLG, highlighting their differences and healthcare applications. Understanding NLP, NLU, and NLG While related, these three concepts serve distinct purposes: Healthcare Applications NLP technologies offer diverse benefits across clinical, administrative, and research settings: 1. NLP in Clinical and Operational Use Cases Real-World Examples: 2. NLU for Research & Chatbots While less widely adopted than NLP, NLU shows promise in: 3. NLG for Generative AI in Healthcare Challenges & Barriers to Adoption Despite their potential, NLP technologies face several hurdles: 1. Data Quality & Accessibility 2. Bias & Fairness Concerns 3. Regulatory & Privacy Issues 4. Performance & Clinical Relevance The Future of NLP in Healthcare Despite these challenges, NLP, NLU, and NLG hold tremendous potential to revolutionize healthcare by:✔ Enhancing clinical decision-making✔ Streamlining administrative workflows✔ Accelerating medical research As the technology matures, addressing data, bias, and regulatory concerns will be key to unlocking its full impact. 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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Does Salesforce Have Artificial Intelligence?

AI Goes Mainstream

AI Goes Mainstream: How Small Businesses Are Harnessing Autonomous Agents for Growth Artificial intelligence is no longer just for big corporations. As generative AI tools have become more accessible, small and medium-sized businesses (SMBs) are rapidly adopting AI—with 75% now investing in AI solutions, according to recent data. High-growth SMBs are nearly twice as likely to embrace AI than those struggling to stay afloat. The shift from generative AI to agentic AI—where AI systems autonomously make decisions and take action—is unlocking even greater potential for SMBs. “We’re entering a new era of productivity that will transform businesses of all sizes, especially SMBs,” says Adam Evans, EVP & GM of Salesforce AI, who leads Agentforce, a platform that embeds AI agents into business workflows. “With autonomous AI, small teams can scale like never before.” A serial entrepreneur who sold two AI startups to Salesforce, Evans understands the challenges SMBs face. “Small businesses are always stretched thin. Agentforce gives them a 24/7 digital workforce across sales, service, and marketing—unlocking unlimited capacity.” Here’s how forward-thinking SMBs are using AI to drive growth: 1. Automated Marketing at Scale Many SMBs have tiny (or even one-person) marketing teams. AI-powered agents can:✅ Generate campaign briefs in seconds✅ Identify high-value audience segments✅ Create personalized content and customer journeys✅ Optimize campaigns in real time based on performance “Agentforce doesn’t just set up campaigns—it continuously refines them, ensuring maximum impact,” says Evans. 2. Hyper-Personalized Sales Outreach Generic sales emails don’t cut it anymore. AI agents can now craft bespoke outreach by:📊 Pulling CRM data on past interactions🏢 Analyzing prospect company profiles📑 Applying a business’s best sales playbooks “The AI synthesizes all this to write emails tailored to each lead’s role, industry, and interests,” Evans explains. 3. AI-Powered Shopping Assistants Imagine an AI personal shopper that:🛍️ Guides customers to the perfect product💬 Answers questions via chat (on websites, WhatsApp, etc.)🤝 Upsells and cross-sells intelligently “Agentforce acts as a 24/7 sales rep, helping convert browsers into buyers while freeing up human teams for high-touch relationships,” says Evans. The Bottom Line With AI handling repetitive tasks, SMBs can:✔ Compete with larger players despite smaller teams✔ Deliver enterprise-grade personalization✔ Turn data into actionable insights instantly “The businesses that thrive will be those that deploy AI agents to handle routine work while humans focus on strategy and creativity,” Evans predicts. “This isn’t the future—it’s happening right now.” For SMBs, the message is clear: AI adoption is no longer optional. It’s the key to staying relevant, efficient, and competitive. 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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Biggest Mistakes Universities Make When Using Salesforce

Biggest Mistakes Universities Make When Using Salesforce

The Biggest Mistakes Universities Make When Using Salesforce (And How to Fix Them) Many universities invest in Salesforce for higher education to improve student engagement, streamline operations, and boost fundraising—but struggle to see meaningful results. Without the right strategy, institutions face scattered data, low adoption, and inefficiencies, turning Salesforce into just another system to manage rather than a transformative tool. The good news? These challenges are avoidable. In this insight, we’ll explore the most common Salesforce mistakes in higher education and how to fix them—helping your university maximize ROI and create a seamless experience for students, staff, and alumni. Salesforce Education Cloud: A Quick Overview Salesforce Education Cloud is a powerful CRM platform designed for universities, colleges, and K-12 schools. It helps institutions: Yet, many institutions fail to leverage its full potential due to poor implementation, lack of training, or misaligned strategies. 11 Common Salesforce Mistakes in Higher Ed (And How to Solve Them) 1. No Clear Strategy or Goals Problem: Jumping into Salesforce without a plan leads to disconnected teams, wasted resources, and unclear ROI. Solution:✔ Define university-wide objectives (e.g., improving student retention, increasing alumni donations).✔ Establish a governance team to align Salesforce with institutional goals.✔ Prioritize key initiatives and track measurable outcomes. 2. Lack of Stakeholder Buy-In Problem: Without leadership and faculty support, adoption stalls or becomes siloed. Solution:✔ Engage decision-makers early in planning.✔ Assign cross-functional champions to drive adoption.✔ Provide training & clear value propositions for each department. 3. No Clear Ownership Problem: When no one “owns” Salesforce, data decays, processes break, and updates lag. Solution:✔ Form a centralized Salesforce admin team.✔ Assign department leads to oversee usage.✔ Define clear roles & accountability for system maintenance. 4. Siloed Implementation Problem: Departments use Salesforce separately, creating data fragmentation. Solution:✔ Use Education Data Architecture (EDA) for a unified student view.✔ Integrate with Student Information Systems (SIS).✔ Ensure admissions, advising, and alumni teams share data seamlessly. 5. Poor Data Governance Problem: Inconsistent data entry leads to duplicates, errors, and unreliable reports. Solution:✔ Standardize data entry rules across teams.✔ Use Salesforce duplicate management tools.✔ Create real-time dashboards for accurate insights. 6. Underusing Self-Service Portals Problem: Over-reliance on staff for basic tasks (e.g., FAQs, event sign-ups). Solution:✔ Deploy Experience Cloud for student/alumni self-service.✔ Implement AI chatbots (Einstein Copilot) for instant support.✔ Build a knowledge base for common inquiries. 7. Inadequate Training & Support Problem: Staff avoid Salesforce because they don’t know how to use it. Solution:✔ Offer ongoing training programs.✔ Assign in-house Salesforce super-users.✔ Provide resources for new features & updates.✔ Employ a dedicated Salesforce Solutions Provider..✔ Utilize a Salesforce Managed Services Provider. 8. Ignoring Mobile Optimization Problem: Students expect mobile access—but many portals are desktop-only. Solution:✔ Enable the Salesforce Mobile App.✔ Use push notifications for deadlines & events.✔ Ensure responsive design for all student portals. 9. Misaligned Reporting & KPIs Problem: Departments track different metrics, making progress hard to measure. Solution:✔ Standardize university-wide KPIs (e.g., enrollment rates, alumni engagement).✔ Use Salesforce dashboards for real-time insights.✔ Align reports with strategic goals. 10. Not Using AI & Automation Problem: Manual processes slow down admissions, student support, and fundraising. Solution:✔ Use Einstein AI to predict at-risk students.✔ Automate student communications & follow-ups.✔ Deploy AI chatbots for instant responses.✔ Integrate Salesforce Agentforce. 11. Falling Behind on Salesforce Updates Problem: Missing out on new AI features, automations, and best practices. Solution:✔ Follow Salesforce Trailhead & webinars.✔ Attend Education Summit & industry events.✔ Assign a team to evaluate & implement new tools. Maximizing Salesforce ROI in Higher Education By avoiding these mistakes, universities can:✅ Improve student engagement & retention✅ Streamline admissions & operations✅ Boost alumni fundraising✅ Make data-driven decisions The key? Strategy, training, integration, and innovation. Is your university getting the most out of Salesforce? Let’s optimize your approach. 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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Time Series AI

Time Series AI

Key Aspects of Time Series AI 1. Time Series Data Time series data consists of sequential data points recorded at regular intervals, enabling the analysis of trends, seasonality, and patterns over time. This structured format is essential for forecasting, anomaly detection, and other AI-driven analyses. 2. AI Techniques for Time Series Analysis Multiple AI and machine learning techniques are applied to time series data, including: These techniques help in forecasting future values, detecting anomalies, classifying sequences, and imputing missing data. 3. Applications of Time Series AI Time series AI is widely used across industries for: 4. Real-World Examples 5. Benefits of Time Series AI By leveraging AI for time series analysis, businesses and organizations gain a competitive edge through smarter forecasting and automation. 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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ai

Fireflies.ai Launches Domain-Specific Mini Apps to Automate Meeting Insights

Khosla Ventures-backed Fireflies.ai, an AI-powered note-taking platform, unveiled a suite of domain-specific “mini apps” on Wednesday, designed to automatically extract actionable insights from meeting transcripts. With the rise of automatic speech recognition (ASR) and generative AI, meeting intelligence startups—such as Otter, Read AI, Circleback, Krisp, and Granola—have seen rapid growth. Fireflies.ai is no exception, with co-founder and CEO Krish Ramineni reporting an 8x increase in users and achieving profitability. To accelerate its expansion, the startup is rolling out over 200 mini apps tailored to various roles and use cases, including: While competitors like Circleback require manual prompting to generate insights from transcripts, Fireflies.ai’s mini apps eliminate the need for user input, streamlining the process. “The time it takes to derive insights post-meeting is significant,” Ramineni told TechCrunch. “These apps close that gap by automating actions immediately after meetings, boosting productivity.” Users can also integrate outputs with platforms like Salesforce, HubSpot, Asana, Jira, Slack, and Microsoft Teams. For instance, a meeting summary can be automatically shared with a manager via Slack once the discussion concludes. Fireflies.ai allows users to deploy mini apps per meeting and even build custom apps for specialized needs. The company plans to introduce team-sharing capabilities in the future. Beyond mini apps, Fireflies.ai is enhancing meeting intelligence with pre-meeting briefs on participants and organizations. The startup is also testing “digital twins”—AI avatars that can attend meetings and respond to basic queries, similar to experiments by Zoom and others. This expansion underscores Fireflies.ai’s push to automate workflows and maximize efficiency in professional collaboration. 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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Expanded Availability of Marketing Cloud Growth and Advanced

Expanded Availability of Marketing Cloud Growth and Advanced

What the Expanded Global Availability of Marketing Cloud Growth and Advanced Editions Means for You Salesforce is bringing more power, more reach, and more connections to marketers around the globe. Since the debut of Marketing Cloud Growth and Advanced Editions last spring, Salesforce has steadily expanded their global footprint—bringing powerful capabilities to marketers worldwide. In 2024, these editions rolled out across North America, Asia/Middle East, and Latin America, enabling organizations to unify marketing, sales, service, and commerce on a single platform. With built-in access to Agentforce, teams can now save time and unlock smarter marketing by tapping into data from across the Salesforce ecosystem. Now, in spring 2025, Salesforce is extending access even further—launching in five new regions and enabling new channels like WhatsApp. This means more businesses can take advantage of unified workflows, regional data residency, and AI-powered customer journeys at scale. 🌍 New Regions Now Supported As of early 2025, Marketing Cloud Growth and Advanced Editions (and Data Cloud) are now available in five additional regions, enhancing data residency and local compliance: Why it matters:Data residency—storing and processing data in the same region it’s collected—is critical for compliance, trust, and security. These new region-specific deployments help businesses meet local regulations and ensure a secure, performant experience for users. What’s next?Additional regions, including markets across ASEAN, are set to go live in the first half of 2025. 📲 Channel Expansion: Now with Native WhatsApp Salesforce has also expanded channel support for Marketing Cloud Growth and Advanced Editions by introducing native WhatsApp messaging. 🚀 The Big Picture With expanded regional support, native WhatsApp messaging, and seamless integration with Agentforce and Data Cloud, Marketing Cloud Growth and Advanced Editions are empowering global teams to deliver more personalized, automated, and compliant experiences—at scale. This is marketing that meets the moment—wherever your customers are. 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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AI Agents, Tech's Next Big Bet

Embracing “Intelligent Austerity”

Embracing “Intelligent Austerity”: How Scotland Can Lead the Way in Public Sector Innovation As the UK Government enforces a 15% reduction in operating costs across departments, the pressure to streamline workflows through generative AI has never been greater. While these targets have sparked concern in Westminster, Scotland’s legacy of innovation—from tidal energy to healthcare—positions it to redefine what austerity can achieve. Rather than resorting to blunt cuts that undermine services and hurt the most vulnerable constituents, Scotland has a unique opportunity to pioneer intelligent austerity: delivering significant cost savings and productivity gains without sacrificing the quality of essential public services. But how? A Smarter Approach to Public Services At Salesforce, we’re not just driving agentic transformation—we’re challenging governments to rethink efficiency. Our technology is already embedded across the UK public sector and beyond. With Agentforce, our goal isn’t to replace human workers but to empower them by eliminating repetitive, low-value tasks. When I speak with civil servants, I ask a simple question: “What parts of your day drain your productivity?” The answer is almost always the same: tedious administrative work that stifles innovation. The key to unlocking societal progress—whether in fighting child poverty, boosting the economy, or tackling climate change—lies in making small, daily efficiency gains. By automating routine tasks, we free up staff to focus on what they do best: high-impact, human-centric work. Agentforce serves as a practical blueprint for intelligent austerity, delivering lasting efficiencies while preserving—and even enhancing—the human touch in public services. Intelligent Austerity: Efficiency Without Sacrifice Traditional austerity often means deep, painful cuts that erode services and fuel public frustration. Intelligent austerity, by contrast, targets inefficiencies—like costly call centres and outdated administrative processes—while reinvesting savings where they matter most. Instead of lengthy, expensive IT overhauls that tie departments to consultants, we advocate for off-the-shelf AI solutions that deliver value in weeks, not years. These integrate seamlessly with existing systems, improving transparency, agility, and scalability from day one. The result? Departments can exceed cost-saving targets—even surpassing the 15% goal—without the downsides of traditional austerity. Agents in Action: Real-World Success Stories These examples prove that AI-driven transformation can counter fiscal pressures while improving service delivery—a win-win for both budgets and citizens. Scotland’s AI Opportunity Imagine every government department equipped with a 24/7 AI expert—an intelligent assistant capable of answering policy questions, processing documents, or even serving as a strategic advisor. Early AI adoption is like the first SatNav systems: helpful but imperfect. The real breakthrough comes when AI evolves into a collision avoidance system—actively preventing problems and enhancing decision-making. Our AI Agents Handbook outlines how Scotland can harness this potential. By adopting AI strategically, public services can achieve cost savings that are reinvested in key priorities—eradicating child poverty, growing the economy, and addressing the climate crisis. The Future: Smarter, More Agile Public Services AI isn’t about replacing humans—it’s about empowering them. With each small efficiency gain, departments become more agile, better equipped to deliver sustainable, high-quality services. Scotland has the chance to lead this shift, turning fiscal challenges into opportunities for innovation. Interested in learning more? Let’s discuss how AI Agents can transform your organization. Get in touch for a personalized consultation. 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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Agentforce: Modernizing 311 and Case Management

Join Tectonic for an informational webinar on Salesforce Agentforce, Modernizing 311 services, and Case management. In this webinar you will hear: For more information fill out the contact us form below or reach out to the Public Sector team PublicSector@GetTectonic.com Get ready for the Next Frontier in Enterprise AI: Shaping Public Policies for Trusted AI Agents! AI agents are a technological revolution – the third wave of artificial intelligence after predictive and generative AI. They go beyond traditional automation, being capable of searching for relevant data, analyzing it to formulate a plan, and then putting the plan into action. Users can configure agents with guardrails that specify what actions they can take and when tasks should be handed off to humans. For the past 25 years, Salesforce has led their customers through every major technological shift: from cloud, to mobile, to predictive and generative AI, and, today, agentic AI. We are at the cusp of a pivotal moment for enterprise AI that has the opportunity to supercharge productivity and change the way we work forever. This will require governments working together with industry, civil society, and all stakeholders to ensure responsible technological advancement and workforce readiness. We look forward to continuing our contributions to the public policy discussions on trusted enterprise AI agents. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more 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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