ERP Archives - gettectonic.com
AI Agent Revolution

AI Agent Revolution

The AI Agent Revolution: How AWS, Salesforce, and Oracle See the Future of Work Executives from AWS, Salesforce, and Oracle believe artificial intelligence (AI) agents are set to redefine work in ways many may not expect. These AI-driven systems promise to streamline operations, enhance productivity, and transform the way businesses interact with technology. The Future of AI Agents in Action Imagine a world where: Swami Sivasubramanian, AWS’s vice president of agentic AI, describes this shift as a fundamental leap forward. Unlike earlier AI models, these agents don’t just generate content—they reason, plan, and execute tasks. They can research, pay bills, manage enterprise applications, and break down high-level objectives into actionable steps. Sivasubramanian envisions a “fully AI world” where agents autonomously make decisions, automate workflows, and coordinate with minimal human oversight. But, as he points out, this isn’t a distant future—it’s happening now. Companies like Genentech are using AI agents to accelerate drug research, cutting timelines by nearly five years. Moody’s has reduced its credit risk reporting process from a week to under an hour. These breakthroughs illustrate the vast potential of AI-driven automation. Salesforce’s ‘Limitless Labor’ Approach Salesforce is also at the forefront of AI agent adoption with Agentforce, a platform that has seen overwhelming demand since its launch. More than 5,000 customers signed up in its first full quarter, signaling a strong appetite for AI-driven automation. Adam Evans, EVP and GM of Salesforce AI, describes AI agents as creating a “limitless labor” pool. These agents are already supporting Salesforce’s own customers, resolving 97% of inquiries without human intervention. The next evolution, according to Evans, involves AI agents acting as brand ambassadors—not just answering questions, but understanding customer needs, driving sales, and providing personalized support. Salesforce categorizes AI agents into three types: Early adopters like Wiley Publishing have reported a 40% increase in customer satisfaction due to AI-driven customer service, while Pfizer is leveraging AI agents in life sciences. To support this transformation, Salesforce has introduced flexible pricing models, allowing companies to transition from traditional seat-based pricing to AI consumption-based structures. AI Agents as the New Enterprise Interface Oracle sees AI agents as the future interface for enterprise software, eliminating the need for users to adapt to complex systems. “Let’s stop adapting ourselves to computers and make them adapt to us,” said Miranda Nash, group vice president at Oracle AI. In this vision, users no longer navigate Oracle’s software through menus—they simply ask questions, and AI agents handle the rest through sophisticated, multi-agent workflows. Oracle is embedding AI agents across key business functions, including: As AI transforms work, Nash, Evans, and Sivasubramanian acknowledge concerns about job displacement. However, they emphasize that AI agents augment human roles rather than replace them. At Salesforce, employees previously assigned to repetitive support tasks are now moving into higher-value roles like customer success and sales. Meanwhile, AWS’s AI deployment has saved Amazon 4,500 developer years’ worth of work and over $250 million in capital expenses. “The only option now is to get in the cloud, embrace AI agents, and meet the future of work,” Nash concluded. 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

Read More
Salesforce’s Marketing Intelligence

Salesforce’s Marketing Intelligence

Introducing Salesforce’s Marketing Intelligence: The Future of Marketing Analytics For the past dozen years, many marketers have been enamored with a powerful marketing analytics tool—Datorama, now known as Salesforce Marketing Cloud Intelligence (MCI). Regarded as one of the most seamless solutions for unifying data across multiple sources, MCI was built by marketers for marketers. It enables users to effortlessly combine data, generate reports, and build dashboards using plain language and pre-built data models. Whether for simple smart-lens dashboards or complex automated reporting triggered by specific events, MCI has been a game-changer. To the delight of marketers everywhere, Salesforce announced on March 18, 2025, a new evolution of the tool: Marketing Intelligence (MI). Built on the Salesforce Platform, MI takes the best of MCI and integrates it with Data Cloud’s unified architecture while introducing agentic AI features that deliver actionable, conversational insights. So, without further ado, let’s explore this exciting new tool. What Is Marketing Intelligence? Marketing Intelligence (MI) is a new Salesforce application designed to simplify marketing data management, deliver trustworthy insights, and maximize marketing ROI. Built on Data Cloud and deeply connected to the Salesforce ecosystem, MI is fully extensible—equipping marketers with everything they need to create powerful, meaningful dashboards with minimal effort. Data Cloud for Marketers, Made Easy One of the standout features of MCI has always been its AI-powered data mapping, which auto-populates based on past usage and logical predictions. Additionally, many APIs come with prebuilt models, reducing the need for manual configuration. These capabilities have helped marketers transition smoothly into data modeling and dashboarding without requiring deep technical expertise. Happily, MI retains and enhances these features. Users can upload a TotalConnect file (a flat file of their choice) or connect via API—with options like Google Ads available at launch and more integrations coming soon. Selecting a connection like Google Ads pulls in formatted data, ready for quick mapping, allowing users to build dashboards in just three clicks. Clean, Intuitive Dashboards MI’s dashboards are sleek, fast-loading, and prebuilt—yet fully customizable. A major upgrade over MCI is the inclusion of generative AI summaries, which analyze campaigns and highlight what’s working (and what isn’t). This feature represents the future of dashboarding: not just displaying data trends but explaining them in plain language and suggesting next steps. Marketers can even ask their AI agent to take action based on these insights, streamlining optimization like never before. This functionality is particularly valuable in large implementations where different users extract different insights from the same dashboard. Instead of manually interpreting data, marketers can now ask their AI agent for recommendations—saving time and reducing guesswork. Harmonized Data Across Channels The core goal of any marketing analytics tool—whether Data Cloud, MCI, or MI—is to unify cross-channel data into actionable insights. Beyond standardized API mapping, MI harmonizes fields across datasets and uses a semantic model to logically connect data (e.g., aligning campaign names across paid media, CRM, and other tools—even when naming conventions differ). For Existing MCI Users: What’s New? Many longtime MCI users may wonder: Can a new version really live up to the original? The answer? Absolutely. Here’s why: 1. Normalization, Simplified In MCI, joining messy and clean data often requires manual effort—using formulas or restructuring campaigns. MI changes that. With Einstein AI-powered normalization, users can automatically standardize data without manual adjustments, making cross-channel reporting smoother than ever. 2. Semantic Modeling Flexibility While MCI offers prebuilt data models, MI introduces semantic modeling, allowing users to define custom relationships across datasets. This means greater flexibility in structuring data, adding fields, and evolving models as business needs change—all while maintaining seamless integration with Salesforce objects. 3. ROI & Attribution, Supercharged The best MCI implementations tie cost/engagement data to real ROI. MI takes this further by integrating with Sales Cloud objects, enabling clearer ROI visualization. Additionally, attribution modeling is now more robust, with support for first- and last-touch attribution—helping marketers validate performance and optimize spend. For New Users: Why Choose MI? 1. Best-in-Class Data Harmonization MCI has long been the gold standard for unifying marketing data. Now, MI enhances this with Data Cloud integration, AI normalization, and three-click setup—making it the ultimate solution for marketers. 2. Smarter, Faster Visualizations While MCI offers strong visualization options, MI improves on two key pain points: 3. Unmatched Customization Want to dynamically rename campaigns, merge traffic sources, or filter data based on custom logic? MI makes it possible with pattern extraction, semantic-layer calculated fields, and Einstein normalization—giving marketers unprecedented control. A New Era for Marketing Analytics Marketing Intelligence launched on March 18, 2025 (requiring Data Cloud and MI licenses). Marketers eager to explore this next-generation tool should contact their Salesforce account executive. MI represents a leap forward in intelligent dashboarding, streamlining marketing data in ways MCI only hinted at. For data-driven marketers, the future is here—and it’s more powerful than ever. 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

Read More
Role of Trusted Data in AI Success

Role of Trusted Data in AI Success

The Critical Role of Trusted Data in AI Success As enterprises accelerate their investment in AI applications—including generative AI—the success of these innovations hinges on trusted data. For AI to deliver value, the data that powers it must be high-quality, accurate, complete, and consistent. Equally important, users must have confidence in the data behind AI tools—whether chatbots that enable natural language data analysis or intelligent agents that automate repetitive tasks. Without trusted data, AI applications risk generating inaccurate outputs. And if users don’t trust the data, they may avoid using the applications altogether. This leads to missed opportunities—from failing to strengthen customer relationships to overlooking cross-sell and revenue growth potential. Conversely, reliable data leads to more accurate AI outputs, driving greater adoption. When employees trust AI-generated insights, they can make smarter, data-driven decisions that fuel business growth. The Data Trust Challenge A recent 2025 Data Trust Report by Ataccama, a Toronto-based data management vendor, in collaboration with Hanover Research, surveyed over 300 senior data leaders to assess AI adoption and challenges. The findings were striking: Why Data Trust Is More Critical Than Ever While data quality has always been vital, its importance has grown with the rise of AI-powered decision-making, according to Mike McKee, CEO of Ataccama. AI is no longer just an analytics tool—it’s becoming the primary interface for data analysis and automation. “AI is rapidly evolving into a core decision-making tool, and its effectiveness depends entirely on trusted data,” McKee noted. “As enterprises expand their AI investments, ensuring data quality and trust will only become more critical.” As AI adoption deepens, organizations must prioritize data governance and quality to unlock AI’s full potential—ensuring accuracy, reliability, and user confidence in every AI-driven decision. 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 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 Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

Read More
Unlocking Sales Potential with Data Activation

Unlocking Sales Potential with Data Activation

Selling has never been easy — and it’s not getting any simpler. Sales representatives are under constant pressure to research markets, navigate gatekeepers, and craft compelling pitches to win over decision-makers. But in today’s market, that’s not enough. Nearly 90% of business buyers expect personalized, insightful interactions — and delivering on that expectation requires more than persuasive messaging. It demands access to accurate, real-time data. The challenge? Sales reps often struggle to find the information they need. Instead of focusing on closing deals, they waste time chasing down customer data, piecing together fragmented insights, or working off outdated information. In fact: The root cause? Data silos. Data Silos are Crippling Sales Efficiency In most companies, critical customer data is scattered across: This fragmented data structure creates massive blind spots for sales teams. Consider this: The impact is costly — missed opportunities, slower deal cycles, and lost revenue. Without a unified approach to data management, sales teams remain limited by incomplete information, preventing them from delivering personalized, high-impact customer experiences. The Answer: Data Activation The solution isn’t just unifying your data — it’s activating it. Data activation means making your customer data accessible, actionable, and visible within your CRM so your sales team can use it in real-time. It eliminates the need to toggle between systems, request data from other teams, or work from static spreadsheets. Instead, activated data flows directly into the workflows and tools that your sales reps use every day — giving them everything they need to engage, sell, and close deals faster. Here’s what data activation looks like in practice: Data activation ensures that every team member works from the same, real-time, unified view of the customer — eliminating data silos and transforming sales productivity. Why Data Activation is a Game-Changer for Sales By bringing your unified data directly into your CRM, your sales team gains immediate access to valuable insights that drive better outcomes. Here are some powerful data types that become actionable through data activation: 1. Web Engagement Data Understand customer behavior based on their interactions with your website. Track which products or services they’ve browsed, downloaded, or engaged with — allowing your sales team to tailor conversations and offers accordingly. Use case: 2. Marketing Campaign Data Eliminate disjointed outreach by giving your sales team visibility into marketing campaigns. Sales reps can instantly see which emails, ads, or events a prospect engaged with — ensuring their outreach feels relevant, not redundant. Use case: 3. Consumption Data Track product usage, subscriptions, and consumption patterns from your ERP or product database. This data empowers sales reps to identify upsell and cross-sell opportunities or proactively prevent churn. Use case: 4. Unstructured Data (Emails, Call Logs, Chat Transcripts) Unlock insights from past customer interactions by analyzing emails, call center transcripts, chat logs, and even social media comments. Sales teams can use this data to understand sentiment, previous objections, and overall engagement history. Use case: 5. Billing and Subscription Data Integrate billing, purchase, and subscription information directly into your CRM. This allows sales reps to track contract renewals, upcoming billing cycles, or outstanding invoices — enabling more proactive and strategic outreach. Use case: 6. Third-Party Data for Enhanced Lead Scoring Enhance your lead scoring models with third-party data, such as firmographic information, buying intent signals, or demographic insights. This helps your team prioritize high-quality leads and drive faster conversions. Use case: Why Third-Party Data Tools Fall Short Many organizations attempt to solve their data challenges by investing in third-party data platforms like Snowflake, Databricks, or Redshift. While these tools excel at aggregating data, they introduce a new problem — they still create a data silo. The data sits outside of your CRM, meaning: This is why true data activation matters. It doesn’t just unify your data — it embeds it directly into your sales reps’ day-to-day tools, making insights instantly actionable. The Competitive Advantage of Data Activation By embracing data activation, your organization gains three major competitive advantages: ✅ 1. Increased Sales Productivity Sales reps no longer waste time tracking down information or switching between systems. With all customer data at their fingertips, they can spend more time building relationships and closing deals. ✅ 2. Enhanced Personalization at Scale With access to web behavior, campaign engagement, and product usage data, your team can personalize every interaction — at scale. This drives higher conversion rates and better customer experiences. ✅ 3. Smarter Forecasting and Planning By integrating billing, subscription, and past purchase data, sales managers gain accurate revenue forecasting and better visibility into growth opportunities. Activate Your Data. Unlock Your Revenue. The future of sales is not about more tools — it’s about better data accessibility. Data activation eliminates silos, unlocks powerful insights, and delivers real-time, actionable data directly into your CRM. This empowers your sales team to: The result? Faster sales, higher revenue, and exceptional customer experiences. Ready to activate your data and supercharge your sales performance? Start by bringing all your data — web, marketing, subscription, and service — directly into your CRM. Your sales team will thank you — and your revenue will show it. 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

Read More
Balancing Security with Operational Flexibility

Balancing Security with Operational Flexibility

Security measures for AI agents must strike a balance between protection and the flexibility required for effective operation in production environments. As these systems advance, several key challenges remain unresolved. Practical Limitations 1. Tool Calling 2. Multi-Step Execution 3. Technical Infrastructure 4. Interaction Challenges 5. Access Control 6. Reliability & Performance The Road Ahead Scaling AI Through Test-Time Compute The future of AI agent capabilities hinges on test-time compute, or the computational resources allocated during inference. While pre-training faces limitations due to finite data availability, test-time compute offers a path to enhanced reasoning. Industry leaders suggest that large-scale reasoning may require significant computational investment. OpenAI’s Sam Altman has stated that while AGI development is now theoretically understood, real-world deployment will depend heavily on compute economics. Near-Term Evolution (2025) Core Intelligence Advancements Interface & Control Improvements Memory & Context Expansion Infrastructure & Scaling Constraints Medium-Term Developments (2026) Core Intelligence Enhancements Interface & Control Innovations Memory & Context Strengthening Current AI systems struggle with basic UI interactions, achieving only ~40% success rates in structured applications. However, novel learning approaches—such as reverse task synthesis, which allows agents to infer workflows through exploration—have nearly doubled success rates in GUI interactions. By 2026, AI agents may transition from executing predefined commands to autonomously understanding and interacting with software environments. Conclusion The trajectory of AI agents points toward increased autonomy, but significant challenges remain. The key developments driving progress include: ✅ Test-time compute unlocking scalable reasoning ✅ Memory architectures improving context retention ✅ Planning optimizations enhancing task decomposition ✅ Security frameworks ensuring safe deployment ✅ Human-AI collaboration models refining interaction efficiency While we may be approaching AGI-like capabilities in specialized domains (e.g., software development, mathematical reasoning), broader applications will depend on breakthroughs in context understanding, UI interaction, and security. Balancing computational feasibility with operational effectiveness remains the primary hurdle in transitioning AI agents from experimental technology to indispensable enterprise tools. 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

Read More
data cloud and data silos

Unify Your Data Silos

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

Read More
itsm

Salesforce Move Into IT Service Management

Salesforce CEO Marc Benioff Signals Bold Move into IT Service Management (ITSM)Salesforce CEO Marc Benioff has once again made headlines, this time with a bold announcement about the company’s expansion into IT Service Management (ITSM). During a recent appearance on the Motley Fool podcast, Benioff revealed that Salesforce is “building new apps, like ITSM.” This follows a subtle hint he dropped during an earnings call, where he teased, “At our TrailheadDX event… You might get a glimpse of the new ITSM product that’s coming if you look hard.” While the ITSM product didn’t take center stage at the event, Salesforce’s intentions to make significant strides in the ITSM space are clear. This move is particularly intriguing given the evolving dynamics between the ITSM and CRM markets, where Salesforce and ServiceNow are increasingly encroaching on each other’s territories. ServiceNow’s CRM Ambitions: A Challenge to Salesforce ServiceNow, the dominant player in the ITSM market, has been making bold moves into CRM, a domain where Salesforce has long been the leader. In fact, Salesforce outsells its closest competitor, Microsoft, by nearly four-to-one in the CRM space. However, ServiceNow is determined to carve out a significant share of the CRM market. Earlier this week, ServiceNow announced its agreement to acquire Moveworks for $2.8 billion. In an interview with CNBC, ServiceNow CEO Bill McDermott emphasized that this acquisition would strengthen the company’s front-office capabilities and bolster its ambition to become “the market leader” in CRM. Unlike traditional CRM competitors who often compete on price, ServiceNow offers a unique value proposition. Its CRM solution integrates with middle- and back-office workflows, encompassing order management, inventory, invoicing, and more. This end-to-end approach provides a more data-rich CRM experience, setting ServiceNow apart from Salesforce. While Salesforce still holds an edge in ease-of-implementation and core CRM functionality—particularly as ServiceNow relies on partners for marketing CRM capabilities—ServiceNow’s differentiated approach poses a long-term threat. Its strong foothold among IT teams, who are increasingly influencing customer-facing technology decisions, adds to its competitive advantage. Salesforce’s ITSM Push: A Strategic Countermove? Benioff’s announcement about Salesforce’s ITSM ambitions could be seen as a strategic countermeasure to ServiceNow’s CRM expansion. Over the years, the two tech giants have steadily encroached on each other’s markets, leveraging their respective strengths to diversify their offerings. As the lines between enterprise technologies continue to blur, the competition between Salesforce and ServiceNow is heating up. With the rise of AI and data platforms, businesses are seeking more integrated and innovative solutions, setting the stage for a fascinating battle of innovation and market dominance. Benioff Takes Aim at Microsoft—Again Adding another layer to this competitive narrative, Benioff didn’t miss the opportunity to critique Microsoft during the podcast. While he expressed amazement at the rapid advancements in AI over the past two years, he also took a jab at Microsoft’s offerings. “I think a lot of our customers have been very disappointed with a lot of the solutions that have been given to them—or even shoved at them,” Benioff said. “Even Microsoft has really disappointed so many of our customers. Copilot has a dozen copilots across its product lines, none of which are connected. It’s not one source of data or one piece of enterprise code.” This isn’t the first time Benioff has targeted Microsoft. He has previously expressed skepticism about its approach to AI, even comparing its Copilot feature to the infamous “Clippy” assistant from the past. A High-Stakes Battle of Innovation As the tech industry continues to evolve, the competition between Salesforce, ServiceNow, and Microsoft is intensifying. With Salesforce venturing into ITSM, ServiceNow pushing into CRM, and Benioff’s recurring critiques of Microsoft, the coming months promise to bring even more innovation—and perhaps a few more pointed remarks. The battle lines are drawn, and the stakes are high. As these tech giants vie for dominance, businesses stand to benefit from the wave of innovation and competition driving the industry forward. 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

Read More
Salesforce Marketing Intelligence

Salesforce Marketing Intelligence

Introducing Marketing IntelligenceYour AI-powered marketing analytics solution built on the Salesforce Platform to enhance campaign performance and eliminate wasted spend. OverviewAccessing, harmonizing, and analyzing marketing data remains a highly manual and time-intensive process. Many marketers spend up to a week each month collecting, cleansing, and modeling data for reporting and analysis. As a result, nearly 41% of marketers’ time is consumed by repetitive tasks, leading to delayed performance reporting—when it’s too late to make optimizations that reduce waste and enhance customer value. Marketing Intelligence, our native Salesforce marketing analytics solution, addresses these challenges. Leveraging Data Cloud, Agentforce, Einstein AI, and Tableau Next, it continuously integrates, harmonizes, and transforms third-party marketing performance data into actionable insights—enabling marketers to optimize campaign spend and performance effortlessly. How Marketing Intelligence WorksMarketing Intelligence empowers marketers to seamlessly manage, analyze, and act on performance data—ensuring data-driven decisions that maximize ROI with minimal manual effort. Manage Your Data Marketing Intelligence automates data management with prebuilt connectors, AI-powered enrichment, and a marketing-specific semantic data model. Marketers can connect and harmonize performance data in just three clicks. See a full demo Understand Your Data Marketing Intelligence accelerates insights with out-of-the-box dashboards, built-in attribution reporting, and Agentforce-powered campaign optimization. Act on Your Data Leverage Agentforce to autonomously optimize campaigns around your business goals, 24/7. “We see potential with the future of Marketing Intelligence to drive faster results and deeper analysis by utilizing AI and Agentforce to enhance the platform’s analytical capabilities.”— Spike Therrien, Performance Marketing Lead, Land O’Lakes What’s NextWe’re expanding our unified data and Agentforce capabilities to provide a holistic view of marketing performance across paid, owned, and earned media—directly within the app. Upcoming enhancements include: Stay ahead of the curve with Marketing Intelligence—your AI-powered marketing analytics solution designed to drive efficiency and maximize campaign impact. 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

Read More
FormAssembly Gov Cloud Achieves FedRAMP High Impact Authorization

FormAssembly Gov Cloud Achieves FedRAMP High Impact Authorization

FormAssembly Gov Cloud Achieves FedRAMP High Impact Authorization, Strengthening Secure Data Collection for Federal Agencies FormAssembly, a leader in secure, forms-based data collection solutions, has announced that FormAssembly Gov Cloud is now FedRAMP High Impact Authorized, providing federal agencies and public sector organizations with a fully compliant, secure solution for data collection and process automation. FedRAMP (Federal Risk and Authorization Management Program) is a U.S. government initiative that standardizes security assessment and authorization for cloud-based technologies used by federal agencies. This milestone, achieved in partnership with FedHIVE, ensures agencies can confidently leverage FormAssembly’s no-code platform to streamline workflows while meeting the government’s most rigorous security and compliance requirements. Operating within a High Impact Virtualized Environment, FormAssembly Gov Cloud adheres to more than 420 security controls, safeguarding sensitive federal data and ensuring compliance with stringent federal regulations. “Achieving FedRAMP High Impact authorization underscores our commitment to providing government agencies with a secure, compliant solution for modernizing data collection,” said Jaineesh Davda, CIO at FormAssembly. “With FormAssembly Gov Cloud, agencies can replace outdated manual processes with automated workflows that enhance efficiency, improve citizen services, and ensure data integrity.” Empowering Federal Agencies with Secure, Automated Data Collection FormAssembly Gov Cloud is designed to meet the demanding security and compliance requirements of federally regulated environments. Agencies can confidently collect and manage Controlled Unclassified Information (CUI) while benefiting from advanced security features, including: ✅ Role-Based Access Control – Ensuring only authorized personnel access sensitive data.✅ Data Encryption – Protecting information in transit and at rest.✅ Comprehensive Audit Trails – Providing transparency and accountability in data handling. Streamlining Government Operations with Seamless Integrations Beyond security, FormAssembly Gov Cloud empowers agencies to transform manual, paper-based processes into efficient, automated workflows. Seamless integration with government-preferred platforms such as Salesforce Government Cloud, Microsoft 365, and Google Workspace enables agencies to build a secure, connected data ecosystem. With over 350 five-star reviews on the Salesforce AppExchange, FormAssembly remains the preferred digital form solution for organizations leveraging Salesforce, accelerating implementation, driving long-term adoption, and optimizing data collection at scale. Learn more about FormAssembly Gov Cloud [here] and find us on the FedRAMP Marketplace. About FormAssembly FormAssembly is a leading forms-based data collection platform trusted by organizations worldwide. Known for its ease of use, enterprise-grade security, and seamless Salesforce integration, FormAssembly empowers businesses in highly regulated industries—such as government, financial services, healthcare, higher education, and nonprofits—to streamline data workflows while maintaining strict compliance. To learn more, visit www.formassembly.com. 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

Read More
AI Captivates the World

AI vs Human Intelligence

Artificial Intelligence vs. Human Intelligence: Key Differences Explained Artificial intelligence (AI) often mimics human-like capabilities, but there are fundamental differences between natural human intelligence and artificial systems. While AI has made remarkable strides in replicating certain aspects of human cognition, it operates in ways that are distinct from how humans think, learn, and solve problems. Below, we explore three key areas where AI and human intelligence diverge. Defining Intelligence Human IntelligenceHuman intelligence is often described using terms like smartness, understanding, brainpower, reasoning, sharpness, and wisdom. These concepts reflect the complexity of human cognition, which has been debated for thousands of years. At its core, human intelligence is a biopsychological capacity to acquire, apply, and adapt knowledge and skills. It encompasses not only logical reasoning but also emotional understanding, creativity, and social interaction. Artificial IntelligenceAI refers to machines designed to perform tasks traditionally associated with human intelligence, such as learning, problem-solving, and decision-making. Over the past few decades, AI has advanced rapidly, particularly in areas like machine learning and generative AI. However, AI lacks the depth and breadth of human intelligence, operating instead through algorithms and data processing. Human Intelligence: What Humans Do Better Humans excel in areas that require empathy, judgment, intuition, and creativity. These qualities are deeply rooted in our evolution as social beings. For example: These capabilities make human intelligence uniquely suited for tasks that involve emotional connection, ethical decision-making, and creative thinking. Artificial Intelligence: What AI Does Better AI outperforms humans in several areas, particularly those involving data processing, pattern recognition, and speed: However, AI’s strengths are limited to the data it is trained on and the algorithms it uses, lacking the adaptability and contextual understanding of human intelligence. 3 Key Differences Between AI and Human Intelligence AI and Human Intelligence: Working Together The future lies in human-AI collaboration, where the strengths of both are leveraged to address complex challenges. For example: While some may find the idea of integrating AI into decision-making unsettling, the scale of global challenges—from climate change to healthcare—demands the combined power of human and artificial intelligence. By working together, humans and AI can amplify each other’s strengths while mitigating weaknesses. Conclusion AI and human intelligence are fundamentally different, each excelling in areas where the other falls short. Human intelligence is unparalleled in creativity, empathy, and ethical reasoning, while AI dominates in data processing, pattern recognition, and speed. The key to unlocking the full potential of AI lies in human-AI collaboration, where the unique strengths of both are harnessed to solve the world’s most pressing problems. As we move forward, this partnership will likely become not just beneficial but essential. 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 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 Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

Read More
Salesforce Sales Engagement for Nonprofits

Salesforce Sales Engagement for Nonprofits

Supercharge Your Nonprofit’s Donor Outreach with Salesforce Sales Engagement It’s time for the annual donor campaign. The fundraising team is juggling hundreds—if not thousands—of emails, phone calls, and follow-ups. The budget depends on surpassing last year’s donations, but with limited staff and time, reaching every potential donor feels impossible. The executive director asks, “How can we maximize donor engagement without increasing headcount—or at least focus our resources on the most likely givers?” Sound familiar? Every nonprofit faces the challenge of doing more with less. Fortunately, Salesforce offers a solution to keep your team organized, on task, and working smarter: Salesforce Sales Engagement. What Is Salesforce Sales Engagement? Salesforce Sales Engagement acts as a high-powered assistant for fundraising, membership, or program teams. This productivity hub, embedded within Salesforce, streamlines daily activities through automation, organization, and AI-powered insights. Key benefits include:✅ Cadences & Work Queues – Ensure no email, call, or task slips through the cracks.✅ Centralized Outreach – Keep all donor interactions in one place for seamless engagement.✅ AI-Driven Optimization – Analyze performance and refine strategies based on data. Previously known as High-Velocity Sales, Sales Engagement accelerates development cycles and scales outreach efforts effortlessly. By prioritizing critical tasks and automating others, your team can focus on building meaningful relationships and securing commitments faster. Engagement Cadences: Your Fundraising Playbook in Action Cadences serve as step-by-step roadmaps, guiding teams on how and when to engage with donors, members, or program participants. Whether you’re running a donor drive, promoting event registrations, or managing renewals, cadences ensure consistency and efficiency. Two Types of Cadences: 1️⃣ Standard Cadences – A structured sequence of touchpoints (emails, calls, LinkedIn messages) over time, such as a 30-day donor onboarding journey.2️⃣ Quick Cadences – A single, repeatable action, like automatically sending a thank-you email after a donation. With Cadence Builder, customizing workflows for different donor segments is fast and easy. Actions dynamically adjust based on engagement—so if a donor opens an email, they might receive a follow-up call; if they don’t, a reminder email is sent instead. Best of all, your team doesn’t have to track or remember each step—Sales Engagement assigns tasks automatically to individual work queues, ensuring nothing gets missed. Data-Driven Decision-Making with Built-In Analytics To improve outreach, you need to measure it. Sales Engagement provides powerful dashboards and reports to evaluate performance and optimize your approach. ✅ Track email open rates, call response rates, and donor engagement trends.✅ Identify successful messaging and refine underperforming campaigns.✅ Tie engagement metrics to fundraising goals to measure real impact. Unlike basic email tracking, Sales Engagement helps nonprofits connect data-driven insights with mission outcomes—empowering smarter decision-making without complex process changes. Already Using Salesforce Flows for Outreach? If your nonprofit relies on Salesforce Flow for outreach, you may wonder if Sales Engagement is necessary. The answer? Yes—if you want to do more with less effort. While flows are great for automation, Sales Engagement goes further with built-in call scripts, AI-powered task prioritization, and adaptable cadences. It offers a more intuitive, flexible approach to donor engagement, reducing manual work and boosting efficiency. Ready to Transform Your Fundraising Strategy? Salesforce Sales Engagement isn’t just for corporations—it’s a game-changer for nonprofits, helping teams increase donations, memberships, and event participation with less effort and greater impact. Are you ready to work smarter, engage better, and raise more? Let’s get started. Contact Tectonic today. 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

Read More
Salesforce Energy and Utilities Cloud Explained

Salesforce Energy and Utilities Cloud Explained

Salesforce Energy and Utilities Cloud is a specialized industry solution built on the Salesforce platform, designed to meet the unique needs of energy and utility companies. It helps these organizations manage customer relationships, streamline operations, and drive digital transformation in an increasingly complex and regulated industry. The cloud solution provides tools for customer engagement, field service management, and regulatory compliance, among other functionalities. Key Features of Salesforce Energy and Utilities Cloud: Benefits of Salesforce Energy and Utilities Cloud: Use Cases: Implementation Considerations: In summary, Salesforce Energy and Utilities Cloud is a comprehensive solution designed to help energy and utility companies enhance customer engagement, streamline operations, and achieve regulatory compliance. By leveraging advanced technologies and industry-specific functionalities, utilities can drive digital transformation and improve overall performance. 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

Read More
Autonomous AI Service Agents

The Evolving Role of AI Agents in Key Industries

Legal Services The future of AI in the legal field lies in deeper collaboration between human lawyers and AI systems. AI agents will handle routine document processing, contract analysis, and compliance checks, while legal professionals focus on strategy, negotiation, and final validation. This approach ensures efficiency without compromising accuracy or legal accountability. Finance The financial sector has been an early adopter of AI agents, leveraging them for market analysis, trading, and risk management. 1. Market Analysis & Research 2. Trading & Investment 3. Risk Management Current Limitations: While results are promising, financial AI applications require strict risk management and regulatory oversight. Most firms start with narrowly scoped use cases—such as single-asset trading—before expanding into complex portfolio management. Research & Science AI agents are transforming scientific research by accelerating discovery while maintaining rigorous methodology. A multi-agent approach is proving valuable throughout the research lifecycle: This framework has already shown success in chemistry, where AI agents have identified novel catalysts and reaction pathways. With Google’s Gemini Deep Research, AI-driven knowledge synthesis is expanding beyond specialized fields to broader scientific domains. Challenges & Considerations: The key to success is integrating AI agents into existing research methodologies while preserving scientific rigor. Emerging AI Agent Trends Across industries, three core patterns define the evolution of AI agents: While AI agents hold immense potential, most industries remain in an experimental phase of adoption. Many organizations start with Retrieval-Augmented Generation (RAG) before advancing to fully autonomous agents. The Challenge of Implementation Adopting AI agents requires careful evaluation of their benefits vs. complexity: Organizations must balance innovation, security, and operational efficiency to maximize the impact of AI agents in their industries. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more 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 Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

Read More
Financial Services Sector

Future of Financial Services

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

Read More
gettectonic.com