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Goodbye Skype

Microsoft to Shut Down Skype After 20 Years Microsoft has announced plans to shut down Skype on May 5, marking the end of a 20-year journey for the once-pioneering internet communications platform. This may be the perfect time to re-evaluate your internal comms tools. Launched in 2003, Skype revolutionized online communication by enabling free audio and video calls worldwide. The platform quickly gained popularity, amassing hundreds of millions of users and even becoming a verb — people would often say they would “Skype” someone. The Rise and Fall of Skype Founded by Swede Niklas Zennström and Dane Janus Friis, with software developed by Estonians Ahti Heinla, Priit Kasesalu, Jaan Tallinn, and Toivo Annus, Skype was initially based in Luxembourg. Its innovative approach to online communication made it a household name in the early 2000s. In 2011, Microsoft acquired Skype for $8.5 billion, outbidding tech giants like Google and Facebook. At the time, Skype had around 150 million active users. However, by 2020, the user base had dropped to 23 million, though the platform experienced a temporary resurgence during the pandemic. Decline Amid Growing Competition Microsoft faced challenges integrating Skype into its ecosystem. In 2017, the company launched Teams, a collaboration platform, which gradually overshadowed Skype. Additionally, growing competition from Apple’s FaceTime, Google’s communication apps, Zoom, and Salesforce-owned Slack further diminished Skype’s prominence. Transition to Teams Microsoft confirmed that Skype users will be transitioned to Teams, with all chats and contacts migrating automatically. The company emphasized that there would be no job losses resulting from the shutdown and highlighted Teams’ growing popularity, which currently boasts 320 million monthly active users. While Microsoft did not disclose Skype’s current user count, the company stated that it remains committed to supporting seamless communication through Teams. This shift signifies the end of an era for Skype but reinforces Microsoft’s focus on integrating advanced communication tools into its product suite. The closure of Skype marks the conclusion of a significant chapter in internet communication, as users transition to more modern, collaborative platforms like Slack. There are many alternatives to Skype, including Viber, Zoom, Slack, Microsoft Teams, Jitsi, WhatsA[[, Google Meet, FaceTime, and Google Hangouts. For sending video messages check out Marco Polo.  Features Other considerations Learn how Slack elevates team performance here Learn how Slack integrates with Salesforce here To migrate to Salesforce Slack, or discuss your options, contact Tectonic today. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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salesforce agentforce ai powered agentic agents

Salesforce Accelerator – Agents for Impact

Six Organizations Selected to Develop AI-Powered Solutions for Educators and Students At the 2025 Education Summit, Salesforce announced the six organizations chosen for its Salesforce Accelerator – Agents for Impact cohort. This initiative empowers nonprofits and educational institutions with AI-driven tools to enhance learning, expand access, and create meaningful educational outcomes. By leveraging Agentforce, Salesforce’s platform for deploying autonomous AI agents, these organizations aim to address critical challenges in education and workforce development. Why This Matters Students today often lack timely, personalized support to navigate school, plan for post-secondary education, and gain early work experiences. According to Salesforce research: AI agents can help educators build more responsive, efficient, and tailored support systems, ensuring students receive the help they need when they need it. By equipping organizations with Agentforce, Salesforce is streamlining operations for teachers and counselors, enhancing learning experiences, and expanding pathways for student success. The Six Organizations and Their AI Solutions The selected organizations are developing innovative Agentforce solutions to address specific challenges in education and workforce development: Support for the Cohort The six organizations will receive: This initiative builds on Salesforce’s commitment to driving innovation in education and workforce development. Since 2022, Salesforce has launched six accelerators, committing million to help organizations scale impactful solutions. For example, last year, College Possible developed an Agentforce solution to guide college coaches in supporting students with financial aid applications and other critical processes. The Broader Impact of AI in Education AI is already transforming education, and AI agents have the potential to drive even greater impact by improving learning outcomes and reducing teacher workload. As Ron Smith, VP of Philanthropy at Salesforce, explains: “AI is already transforming education, and AI agents have the potential to drive even greater impact by improving learning outcomes and reducing teacher workload. Through this accelerator, organizations will leverage Agentforce solutions to deliver personalized learning experiences for every student, while giving educators the tools to focus on what they do best: teaching. We’re proud to support these organizations in using AI to better prepare students for the jobs of the future.” Voices from the Cohort Lorne Rodriguez, Manager of Enterprise Generative AI, Chicago Public Schools:“Chicago Public Schools is committed to providing a high-quality, future-ready education for all students. Through the Salesforce accelerator, we are equipping our curriculum designers with AI-powered tools to improve efficiency and innovation. Using a human-in-the-loop approach, our curriculum co-design agent will streamline development, ensure alignment with Chicago-specific standards, and keep content dynamic while preserving designers’ control and expertise. This partnership allows us to scale innovation and better support teaching and learning across the district.” Tiffany Hsieh, Director of Innovation Programs, Jobs for the Future:“Our mission is to drive transformation of the U.S. education and workforce systems to expand access to quality jobs. Through the Salesforce accelerator, we are leveraging Agentforce to transform how we deliver technical assistance. The new technical assistance agent will help us automate time-intensive processes, enhance our tailored programming, and augment our staff’s expertise and coaching – allowing us to scale our impact and better support our partner organizations driving economic advancement.” Conclusion The Salesforce Accelerator – Agents for Impact represents a significant step forward in using AI to address critical challenges in education and workforce development. By empowering these six organizations with AI-powered tools, Salesforce is helping to create more personalized, efficient, and impactful learning experiences for students while reducing the administrative burden on educators. As AI continues to evolve, initiatives like this will play a crucial role in preparing students for the jobs of the future and ensuring equitable access to education for all. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. 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The Top Sales Software Tools to Power Your Team in 2025

For seasoned sales professionals, hitting ambitious targets is just part of the job. But in today’s hyper-competitive market, raw skill alone isn’t enough—you need the right sales software to maximize productivity, streamline lead management, and strengthen customer relationships. The difference between a good sales year and a record-breaking one often comes down to the tools your team uses. In this guide, we’ll break down the best sales software of 2025, highlighting key features that can transform your daily workflow. What Is Sales Software? Sales software automates and optimizes the sales process, helping businesses reduce costs, accelerate deals, and improve customer outcomes. From CRMs to AI-powered analytics, these tools empower sales leaders to:✔ Track rep performance & identify training gaps✔ Forecast revenue with greater accuracy✔ Manage leads efficiently across the pipeline✔ Automate repetitive tasks so teams focus on selling Core Functions of Sales Software Beyond CRMs, sales software includes conversation intelligence, incentive compensation management, and pipeline optimization platforms—each playing a critical role in a high-performing sales stack. Key Features to Look for in Sales Software Before choosing a solution, assess your team’s needs and budget. Here’s what to prioritize: ✅ Seamless Integrations – Must work with your existing CRM, HR, payroll, and ERP systems.✅ Advanced Analytics – Real-time dashboards and AI-driven insights for smarter decisions.✅ User-Friendly Design – If it’s hard to use, reps won’t adopt it.✅ Workflow Automation – AI-powered tools that cut manual tasks, giving reps 30%+ more selling time.✅ Robust Security – Protects sensitive customer and company data in a remote-work era.✅ Lead Tracking & Scoring – Identifies high-intent prospects to boost conversions. The 9 Best Sales Software Tools in 2025 Based on G2 & Capterra ratings (4+ stars), these platforms lead the pack: 1. Salesforce Sales Cloud Best for: AI-driven sales management✔ Lead prioritization with smart scoring✔ Autonomous AI agents for follow-ups✔ Real-time dashboards for performance tracking 2. Pipedrive Best for: Small businesses scaling fast✔ AI-generated email prompts✔ Pipeline visualization for deal tracking✔ Sales forecasting tools 3. Outreach Best for: Sales execution & engagement✔ AI-powered prospecting workflows✔ Win-loss analytics✔ Multi-channel sync (Email, LinkedIn, CRM) 4. HubSpot Sales Hub Best for: All-in-one CRM & automation✔ Customizable workflows✔ Built-in email tracking✔ User-friendly interface 5. SAP Sales Cloud Best for: Enterprise sales teams✔ Generative AI for forecasting✔ Mobile-friendly for field reps✔ Embedded analytics 6. Monday CRM Best for: Customizable workflows✔ AI auto-categorizes leads✔ Collaboration with marketing teams✔ Visual sales pipeline 7. Freshsales Best for: High-volume lead management✔ AI lead scoring✔ Email engagement tracking✔ Highly customizable 8. Apptivo Best for: SMBs needing flexibility✔ No-code automation✔ Duplicate lead prevention✔ Strong customer support 9. Zendesk Best for: Sales + customer service alignment✔ AI-assisted live chat✔ Omnichannel support✔ Seamless Salesforce integration How to Choose the Right Sales Software Before committing, ask:🔹 Does it integrate with our current stack?🔹 Will reps actually use it? (Ease of adoption is critical.)🔹 Can it scale with our growth?🔹 What’s the customer support like? Pro Tip: Get feedback from your sales team—what features would make their jobs easier? Final Thoughts The right sales software doesn’t just manage leads—it accelerates revenue, boosts rep productivity, and turns data into actionable insights. Whether you’re a startup or an enterprise, investing in the best tools ensures your team closes more deals, faster. Ready to upgrade your sales stack? Contact Tectonic today. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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Predictive Analytics for Business Potential

Predictive Analytics for Business Potential

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

Salesforce Flow Approval Orchestration

Salesforce Flow Approval Orchestration: A Winner for Approval Processes Approval Processes have long been a key feature in Salesforce, enabling professionals to implement structured, multi-step approvals for records. With the shift towards Salesforce Flow as the primary declarative automation tool, it was only a matter of time before approval functionality became natively integrated. Enter Flow Approval Orchestration—a new way to build and manage approvals entirely within Flow Builder at no additional cost. Introducing Flow Approval Orchestration Spring ’25 introduces Approval Orchestration Flow Types, expanding Flow’s capabilities beyond merely invoking an existing Approval Process. These new flows offer a robust solution for both simple and complex approval workflows, accommodating both internal and external users and systems. Approval Orchestration flows come in two types: Stages and Steps: The Core of Approval Orchestration Approval Orchestration relies on Stages and Steps to structure approvals. Stages contain multiple Steps that can execute sequentially or in parallel based on specified criteria. Within each Stage, two types of Steps are available: By default, a Stage is completed once all its Steps are finished, but this can be customized with additional conditions or an Evaluation Flow for more complex logic. Building an Approval Process in Flow Builder Approval Orchestration offers flexibility for various business scenarios. Let’s consider an example where an Opportunity requires approval upon creation, but only if the related Account is classified as a Customer Account. Steps to Implement: For opportunities over 500K, a secondary approver is required. The Decision Element in Flow allows navigation between different Stages, ensuring complex approval hierarchies are handled efficiently. Enhancing User Experience & Management To streamline approval management: Key Considerations Before transitioning to Flow Approval Orchestration, keep these in mind: Final Thoughts Bringing all approval-related automation into Flow Builder is a significant leap forward for Salesforce admins. Flow Approval Orchestration not only simplifies complex approval logic but also enhances visibility and control over approvals. Try it in a sandbox environment to explore its potential and tailor it to your specific business needs. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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AI Agents

AI Agents in Action: Real-World Applications

The true potential of AI agents lies in their practical use across industries. Let’s explore how different sectors are leveraging AI agents to solve real challenges. Software Development The shift from simple code completion to autonomous software development highlights AI’s expanding role in engineering. While GitHub Copilot introduced real-time coding assistance in 2021, today’s AI agents—like Devin—can manage end-to-end development, from setting up environments to deployment. Multi-agent frameworks, such as MetaGPT, showcase how specialized AI agents collaborate effectively: While AI agents lack human limitations, this shift raises fundamental questions about development practices shaped over decades. AI excels at tasks like prototyping and automated testing, but the true opportunity lies in rethinking software development itself—not just making existing processes faster. This transformation is already affecting hiring trends. Salesforce, for example, announced it will not hire new software engineers in 2025, citing a 30% productivity increase from AI-driven development. Meanwhile, Meta CEO Mark Zuckerberg predicts that by 2025, AI will reach the level of mid-level software engineers, capable of generating production-ready code. However, real-world tests highlight limitations. While Devin performs well on isolated tasks like API integrations, it struggles with complex development projects. In one evaluation, Devin successfully completed only 3 out of 20 full-stack tasks. In contrast, developer-driven workflows using tools like Cursor have proven more reliable, suggesting that AI agents are best used as collaborators rather than full replacements. Customer Service The evolution from basic chatbots to sophisticated AI service agents marks one of the most successful AI deployments to date. Research by Sierra shows that modern AI agents can handle complex tasks—such as flight rebookings and multi-step refunds—previously requiring multiple human agents, all while maintaining natural conversation flow. Key capabilities include: However, challenges remain, particularly in handling policy exceptions and emotionally sensitive situations. Many companies address this by limiting AI agents to approved knowledge sources and implementing clear escalation protocols. The most effective approach in production environments has been a hybrid model, where AI agents handle routine tasks and escalate complex cases to human staff. Sales & Marketing AI agents are now playing a critical role in structured sales and marketing workflows, such as lead qualification, meeting scheduling, and campaign analytics. These agents integrate seamlessly with CRM platforms and communication tools while adhering to business rules. For example, Salesforce’s Agentforce processes customer interactions, maintains conversation history, and escalates complex inquiries when necessary. 1. Sales Development 2. Marketing Operations Core capabilities: However, implementing AI in sales and marketing presents challenges: A hybrid approach—where AI manages routine tasks and data-driven decisions while humans focus on relationship-building and strategy—has proven most effective. Legal Services AI agents are also transforming the legal industry by processing complex documents and maintaining compliance across jurisdictions. Systems like Harvey can break down multi-month projects, such as S-1 filings, into structured workflows while ensuring regulatory compliance. Key capabilities: However, AI-assisted legal work faces significant challenges. Validation and liability remain critical concerns—AI-generated outputs require human review, and the legal responsibility for AI-assisted decisions is still unresolved. While AI excels at document processing and legal research, strategic decisions remain firmly in human hands. Final Thoughts Across industries, AI agents are proving their value in automation, efficiency, and data-driven decision-making. However, fully autonomous systems are not yet replacing human expertise—instead, the most successful implementations involve AI-human collaboration, where agents handle repetitive tasks while humans oversee complex decision-making. As AI technology continues to evolve, businesses must strike the right balance between automation, control, and human oversight to maximize its potential. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. 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Salesforce for Tailored Travel

New data from a YouGov survey, commissioned by Salesforce, reveals that Australian travellers are increasingly seeking customised travel experiences, with 59% expressing a desire for travel recommendations tailored to their individual profiles and preferences. The national survey, which included over 1,000 respondents, highlights a strong appetite for travel, with 66% of Australians planning to book travel online within the next six months. This includes 51% looking to book accommodation, 47% flights and transport, and 27% planning to secure tours or holiday packages. To demonstrate how AI can enhance travel experiences through human and autonomous collaboration, Salesforce partnered with TripADeal, an Australian online travel agency, to create a world-first AI immersive experience. Titled “What AI Was Meant to Be,” the showcase was held at Martin Place in Sydney’s CBD, offering a glimpse into the future of personalised travel. The survey findings indicate that younger generations are particularly drawn to personalised travel recommendations. Gen Z and Millennials show the highest interest, with 72% and 69% respectively expressing a preference for tailored travel options, compared to 54% of Gen X and 46% of Baby Boomers. Additionally, 27% of Gen Z and 31% of Millennials are “very interested” in such customised offerings. Geographically, residents of Australia’s five main capital cities are more likely to book travel online, with 85% indicating they would do so, compared to 75% of those living outside these regions. Similarly, 62% of city dwellers are interested in personalised trips, versus 54% of those in regional areas. To meet this growing demand for tailored travel experiences, TripADeal is leveraging Salesforce’s Agentforce platform. Leandro Perez, Salesforce’s SVP & CMO of Australia and New Zealand, commented on the partnership, stating, “The YouGov research shows us that there is a growing demand from Aussie travellers for personalised, curated travel recommendations, and that more Aussies than ever are booking travel online. For TripADeal, agentic AI is playing an important role in helping to meet this demand and redefining the overall customer experience the company provides.” Perez further explained how the collaboration between humans and AI agents is enhancing service efficiency: “Humans and autonomous AI agents are working together to deliver the very best outcome for TripADeal’s customers, allowing the company to scale customer experience and better support their travel consultants.” He also highlighted the broader implications of this technology, noting, “It’s a key component of our ongoing commitment to help marketers and customer experience leaders realise the possibilities and transformative outcomes they can achieve by harnessing the power of Agentforce. This level of personalisation and service will not just redefine the travel industry but all industries.” Agentforce enables TripADeal’s AI agents to act as virtual travel consultants, engaging with customers in natural language to understand their preferences and recommend suitable deals. For more complex queries, these AI agents seamlessly hand over to human consultants, ensuring a high standard of service quality. The AI-powered initiative was prominently featured at an interactive digital love lock wall in Martin Place. Visitors could interact with the AI agent to create a personalised digital love lock and design their dream holiday, with the chance to win a AUD ,000 TripADeal voucher. Perez emphasised the significance of the activation, saying, “Through this activation, we wanted to showcase AI as it’s meant to be for every Australian business, especially those who are focused on supercharging their customer experience. It’s been amazing to see the interest the activation has generated across the board. From business owners to members of the general public, people are walking past and popping in to see what it’s all about, and they’re experiencing for themselves how easy it is to interact with the AI agent and build a dream holiday that is truly unique to them, which is core to TripADeal’s offering.” This collaboration between Salesforce and TripADeal underscores the transformative potential of AI in the travel industry, offering a glimpse into how technology can meet the growing demand for personalised travel solutions. By combining the strengths of human expertise and AI capabilities, the partnership is paving the way for a new era of customer experience in travel and beyond. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. 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The Rise of AI Agents

The Rise of AI Agents

The Rise of AI Agents: Salesforce’s Vision for a New Era of Business In just three months, more than 1,000 companies have deployed Salesforce AI agents, unlocking capabilities “they’ve never seen before” and setting the stage for game-changing business outcomes, according to CEO Marc Benioff. That’s a bold prediction—even for a visionary like Benioff, whose track record speaks for itself. But throughout our recent 25-minute conversation for the Cloud Wars CEO Outlook 2025 series, Benioff remained unwavering in his optimism about the AI-powered future. Agentic AI: The Force Driving Business Transformation According to Benioff, AI agents represent the next wave of business transformation, redefining how companies operate, innovate, and compete. “I’ve never been more excited about technology—this is an incredible moment in time,” Benioff said. He described AI agents as the bridge to a future where businesses engage with customers in ways previously thought possible only in science fiction. These AI-driven systems will help organizations operate at lower costs while improving customer relationships and key performance metrics. But Salesforce isn’t just selling this vision to customers—it’s living it. Benioff shared firsthand insights into how the company is leveraging AI to optimize its own operations, revealing lessons that could reshape how enterprises think about productivity and workforce planning. Digital Labor: A Multi-Trillion-Dollar Opportunity One of the most striking takeaways from our conversation was Salesforce’s approach to what Benioff calls “digital labor.” “For 25 years, Salesforce has helped businesses manage data. Now, we’re creating digital workers—AI agents that unlock entirely new ways to operate,” he said. This shift is already making an impact. Salesforce’s Agentforce AI now handles the bulk of the company’s customer support, transforming how its 9,000 service agents manage 36,000 weekly support inquiries: As a result, Salesforce is reallocating 2,000 support professionals to other roles—just one example of how AI is reshaping workforce dynamics. A Radical Rethink: No New Developers in 2025 Perhaps the most surprising revelation? Salesforce is pausing hiring for software engineers in 2025. Benioff explained that despite doubling its engineering team over the past five years, AI has driven a 30% increase in productivity. Rather than hiring more developers, Salesforce is leaning into AI-powered automation to accelerate software development. This shift raises fundamental questions about the future of work: Salesforce vs. Microsoft: Competing Visions for AI Agents AI agents are reshaping enterprise technology, but vendors have differing approaches. Benioff made it clear that Salesforce is taking a unique path—one he believes will ultimately lead the industry. Unlike Microsoft, which is deeply integrating AI within its core applications, Salesforce sees agents as an evolution of its CRM foundation, leveraging the vast 230-petabyte data ecosystem it manages for customers. “The businesses that are closest to their data will win,” Benioff said. “And we’re going to deliver capabilities that our customers have never seen before—ones that will thrill them out of their minds.” The Future: A Billion AI Agents As enterprises race to adopt AI, Benioff predicts an explosion in AI agent deployment. “In the next 12 months, we’ll see thousands of companies deploying up to a billion AI agents. And Salesforce will be the absolute leader in agentic technology for the enterprise,” he said. Benioff’s vision is clear: AI agents aren’t just an enhancement—they are the next frontier of business. And companies that embrace them will lead the way into a new era of efficiency, innovation, and growth. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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Aligning Strategy and Goals

Aligning Strategy and Goals

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

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Cloud-Based Housing Repairs with Salesforce

Bernicia Leads the Way in Cloud-Based Housing Repairs with Salesforce Bernicia has become the first housing association in the UK to deliver end-to-end repairs services through Salesforce’s cloud-based, nonprofit solution—setting a new industry benchmark for streamlined, automated housing repairs. Transforming Repairs with Salesforce Field Services All electrical repairs at tenants’ homes are now managed through Salesforce Field Services, enhancing the customer experience with seamless, automated processes. By this summer, all responsive repairs will transition into the system, delivering key benefits such as: A Customer-Centric Digital Transformation In 2023, Bernicia reinforced its commitment to tenants by launching a multi-year cultural development program, supported by a £4 million investment in world-class technology. By listening to customer feedback and leveraging data-driven insights, Bernicia has aligned its new digital repairs service with tenant expectations and evolving habits. Andrea Malcolm, Deputy Chief Executive at Bernicia and project sponsor, stated: “The introduction of Field Services marks a major milestone in our journey to customer service excellence. The dedication and expertise of our team have been outstanding, creating an incredible momentum across the business. We’re excited to see the real difference this will make for both customers and colleagues.” Jude Comber, Account Executive at Salesforce Nonprofits, praised the project team, saying: “The level of skill and attention to detail in this project is outstanding. Bernicia’s customer-first approach is a model for how to successfully implement a digital transformation.” Strategic Collaboration with Alscient Achieving this milestone was made possible through Bernicia’s partnership with Alscient, a multi-cloud specialist. Their expertise in Salesforce integration and digital transformation played a key role in designing and implementing the Field Services solution. Salesforce: A Game-Changer for Housing Associations Salesforce offers housing associations a single, integrated platform to streamline operations, enhance tenant relationships, and eliminate inefficiencies caused by data silos. By embracing cloud-based, automated solutions, housing providers can transform service delivery and drive long-term tenant satisfaction. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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cloudingo for duplicates

Duplicate Data in Salesforce

Duplicate Data in Salesforce: A Sign of Growth, Not Just a Problem Most businesses see duplicate records in Salesforce as a nuisance—an inevitable byproduct of disconnected systems, human error, or inconsistent data entry. And while duplicates do create challenges, they also reveal something important: your business is growing. Duplicates often emerge when scaling—new teams, more tools, and increased customer interactions mean data pours in from multiple sources (marketing automation, sales outreach, support tickets, etc.). The issue isn’t the duplicates themselves; it’s how you handle them. The Hidden Opportunity in Duplicate Data Instead of treating duplicates as purely negative, consider them a chance to: 1. Build a More Complete Customer Picture A duplicate record often represents multiple touchpoints with the same customer. One entry may contain marketing engagement data, another sales notes, and a third support history. Merging them correctly creates a richer, more valuable profile—helping teams personalize interactions and improve customer experiences. 2. Identify Growth Trends A rise in duplicates can signal positive momentum: Tracking duplicates helps pinpoint where processes need refinement as your business scales. 3. Strengthen Data Governance Duplicates often indicate it’s time to revisit data management policies. A clear governance strategy—defining how records should be entered, maintained, and merged—keeps Salesforce clean and reliable. But strategy alone isn’t enough; training and buy-in ensure adoption across teams. 4. Improve Cross-Team Alignment Multiple records for the same contact may suggest siloed teams. Strategic deduplication creates a single source of truth, fostering collaboration and ensuring no opportunities slip through the cracks. Balancing Flexibility & Control Overly strict data entry rules can discourage Salesforce adoption—if users face too many hurdles, they may avoid logging critical information altogether. Yet, no structure leads to chaos: redundant efforts, misaligned reporting, and frustrated teams. The solution? Don’t prevent duplicates—manage them intelligently. The Right Way to Handle Duplicates Instead of blocking record creation, adopt a smarter approach that:✅ Allows users to work freely—Keep data entry frictionless while educating teams on governance best practices.✅ Automatically flags potential duplicates—Use real-time alerts to surface possible matches without manual checks.✅ Merges records intelligently—Preserve valuable data by consolidating records based on quality rules, not just deletion. How Cloudingo Helps Cloudingo enables businesses to maintain user flexibility while keeping data clean. By automating deduplication, it ensures Salesforce remains both easy to use and reliably structured—giving teams the freedom to work while leadership gets accurate insights. See Duplicates Differently Next time you spot duplicates in Salesforce, don’t just see a problem—see a sign of growth and an opportunity to refine your data strategy. When managed well, duplicates aren’t just acceptable; they’re a key part of scaling successfully. Ready to turn duplicates into an advantage? Explore how Cloudingo can help. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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Proper Programmers Desk

Rise of Citizen Development

The Rise of Citizen Development: How Low-Code is Democratizing App Creation From IT-Exclusive to Democratized Development Gone are the days when software development was the sole domain of IT specialists. Today, the demand for rapid, agile application development has broken down traditional barriers, empowering non-technical employees to build powerful business apps—without writing a single line of code. This shift is fueled by citizen development, a movement where business users collaborate with IT to create applications using low-code and no-code platforms. With intuitive drag-and-drop interfaces, pre-built templates, and AI-assisted automation, these tools enable employees across departments—from marketing to HR to operations—to turn ideas into functional apps in record time. The Citizen Developer Boom: By the Numbers Why Businesses Are Embracing Citizen Development 1. Relieving IT Bottlenecks IT teams are overwhelmed with app requests while managing infrastructure, security, and maintenance. Citizen development:✔ Reduces IT backlog by letting business users build their own solutions.✔ Frees IT to focus on high-value, complex projects. 2. Faster, More Relevant App Delivery Business users understand their needs best. When they lead app development:✔ Development cycles shrink—no more waiting for IT prioritization.✔ Solutions better fit real-world use cases, improving adoption and ROI. 3. Bridging the Digital Skills Gap Low-code platforms eliminate the need for deep coding expertise, allowing:✔ Employees at all skill levels to contribute to digital transformation.✔ Faster innovation without costly developer hiring or training. Choosing the Right Low-Code Platform Not all low-code solutions are equal. The best platforms offer: ✅ Cloud-native architecture – Enables real-time collaboration and remote access.✅ Seamless data integration – Connects to live databases for accurate, dynamic apps.✅ Cross-platform compatibility – Build once, deploy everywhere (web, mobile, desktop).✅ Intuitive UX – Drag-and-drop builders, templates, and guided workflows.✅ Built-in governance – Ensures security and compliance without stifling creativity. Salesforce Lightning Platform: The Ultimate Citizen Development Engine Built on the world’s #1 CRM, Salesforce Lightning Platform empowers businesses to: The Future is Low-Code With 76% of companies actively exploring minimal-code development, the line between IT and business is blurring. Citizen development isn’t just a trend—it’s the future of agile innovation. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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The End of Salesforce CPQ

Salesforce CPQ Is Fading: What You Need to Know Salesforce has officially stopped selling CPQ (formerly Steelbrick CPQ) to new customers, signaling a major shift in strategy. While there hasn’t been a formal “end of life” announcement, the writing is on the wall. Many businesses may assume they have time to decide, but the reality is starkly different. With no new customers, Salesforce has effectively cut off a key revenue stream that would sustain CPQ’s development. The product has seen no major updates in over four years, lacks an AI roadmap, and has no clear future innovation path. It’s clear that Salesforce is prioritizing other solutions—most notably, Revenue Lifecycle Management (RLM). The Shift to Revenue Lifecycle Management (RLM) Salesforce is positioning RLM as the future, offering a broader revenue management ecosystem that integrates CPQ-like functionality. While CPQ customers aren’t yet being forced to migrate, it’s only a matter of time before continued use of CPQ becomes impractical due to: Eventually, Salesforce will likely sunset CPQ altogether, leaving businesses scrambling for a replacement. Why Waiting Is a Risk Companies that delay planning may face a rushed and costly migration when Salesforce officially phases out CPQ. Instead of reacting to a sudden shift, businesses should take proactive steps now: Get Ahead of the Change Salesforce CPQ is already fading from relevance. The smartest businesses are taking action before they’re forced into a reactive transition. Now is the time to review your Salesforce setup, explore scalable CPQ alternatives, and future-proof your revenue operations. Let’s discuss your options and ensure your CPQ strategy is built for long-term success. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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Google and Salesforce Expand Partnership

Google and Salesforce Expand Partnership

Google and Salesforce Expand Partnership to Enhance AI Agent Capabilities Google and Salesforce are deepening their collaboration to provide customers with greater flexibility in AI agent deployment. This expanded partnership will integrate Google Gemini within Salesforce’s Agentforce platform, enabling AI agents to process images, audio, and video with advanced multimodal capabilities. Enhanced AI Functionality with Gemini Through this integration, AI agents will gain access to Gemini’s powerful models, allowing them to handle complex tasks with extended context windows and leverage real-time insights from Google Search via Vertex AI. This collaboration aims to empower businesses with AI solutions that are not limited to a single model provider, offering crucial flexibility in AI customization. Srini Tallapragada, Salesforce’s President and Chief Engineering and Customer Success Officer, emphasized that the integration offers customers the ability to choose the applications and models that best suit their needs. “Salesforce offers a complete enterprise-grade agentic AI platform that makes it easy to deploy new capabilities quickly and realize business value fast. Google Cloud is a pioneer in enterprise agentic AI, offering some of the most powerful models, agents, and AI development tools on the planet. Together, we are creating the best place for businesses to scale with digital labor.” Key Benefits of the Integration The partnership is set to deliver significant advantages for businesses, as outlined in the official announcement: Thomas Kurian, CEO of Google Cloud, highlighted the benefits of this collaboration: “Our mutual customers have asked for seamless integration across Salesforce and Google Cloud. This expanded partnership enables them to accelerate AI transformations with state-of-the-art AI models, agentic AI, and advanced data analytics.” Strengthening Customer Service Integrations The partnership will also enhance the connection between Salesforce Service Cloud and Google Cloud’s Customer Engagement Suite, providing AI-driven improvements to customer support. Key upcoming features include: Expanding AI-Powered Decision-Making Beyond Gemini, Agentforce will integrate Google Search through Vertex AI, leveraging secure connections between Salesforce Data Cloud and Google BigQuery. This will enable AI agents to access real-time information for improved accuracy and decision-making. For example, in supply chain management, AI can track shipments, monitor inventory in Salesforce Commerce Cloud, and anticipate disruptions using real-time data on weather, port congestion, and geopolitical events. Additionally, joint customers will be able to utilize Salesforce’s unified platform—including Agentforce, Data Cloud, and Customer 360—on Google Cloud’s AI-optimized infrastructure. This integration ensures enhanced security through dynamic grounding, zero data retention, and toxicity detection via the Einstein Trust Layer. Businesses will also soon have the option to purchase Salesforce products via the Google Cloud Marketplace. More AI Innovations from Google and Salesforce Google recently announced the development of a personalized AI-powered chatbot that will be integrated into its devices, including smartphones, laptops, and tablets. This tool will automatically answer calls, process requests, and respond on behalf of users. Meanwhile, Salesforce’s Service Assistant—formerly known as Salesforce Service Planner—has launched on Service Cloud. Designed to support live agents, it generates step-by-step plans for resolving customer inquiries by analyzing intent, case history, and customer context. For optimal performance, Salesforce recommends integrating it with Data Cloud and the contact center knowledge base. With this expanded partnership, Google and Salesforce are setting the stage for businesses to leverage cutting-edge AI technology, driving innovation and operational efficiency across industries. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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Agentforce to the Team

Salesforce Unveils AI-Powered Agentforce for Health

Salesforce Unveils AI-Powered Agentforce for Health to Streamline Healthcare Operations Salesforce is expanding its AI capabilities in healthcare with the launch of Agentforce for Health, a library of ready-made, autonomous AI tools designed to tackle time-consuming administrative tasks for providers, payers, and public health organizations. Unlike traditional AI assistants that require constant human input, Agentforce for Health leverages agentic AI, which can make independent decisions and operate with minimal intervention. This shift could be a game-changer for an industry grappling with labor shortages, burnout, and rising administrative costs—which McKinsey estimates at $1 trillion annually in the U.S. alone. How Agentforce for Health Works The new solution offers a range of AI-powered capabilities, including: By automating these processes, healthcare teams estimate they could save up to 10 hours per week, according to a Salesforce survey released alongside the product announcement. Salesforce’s AI Edge in Healthcare While tech giants like Google (Agentspace) and Microsoft are also investing in AI-driven healthcare solutions, Salesforce differentiates itself through its deep integration with its CRM platform. This allows Agentforce for Health to not only automate tasks but also seamlessly enhance patient engagement and care coordination. Additionally, Salesforce’s Einstein Copilot Health Actions, a conversational AI assistant launched in April, complements Agentforce by enabling interactive AI-driven decision-making for healthcare teams. Availability & Future Rollout Salesforce is rolling out Agentforce for Health’s AI skills through September for clients using its cloud platform. As AI adoption accelerates in healthcare, Salesforce is positioning itself as a key player in helping the industry reduce administrative burdens, improve efficiency, and enhance patient outcomes. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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