Data-Driven Archives - gettectonic.com - Page 8
AI and Big Data
31Aug

AI and Big Data

Over the past decade, enterprises have accumulated vast amounts of data, capturing everything from business processes to inventory statistics. This surge in data marked the onset of the big data revolution. However, merely storing and managing big data is no longer sufficient to extract its full value. As organizations become adept at handling big data, forward-thinking companies are now leveraging advanced analytics and the latest AI and machine learning techniques to unlock even greater insights. These technologies can identify patterns and provide cognitive capabilities across vast datasets, enabling organizations to elevate their data analytics to new levels. Additionally, the adoption of generative AI systems is on the rise, offering more conversational approaches to data analysis and enhancement. This allows organizations to extract significant insights from information that would otherwise remain untapped in data stores. How Are AI and Big Data Related? Applying machine learning algorithms to big data is a logical progression for companies aiming to maximize the potential of their data. Unlike traditional rules-based approaches that follow explicit instructions, machine learning systems use data-driven algorithms and statistical models to analyze and detect patterns in data. Big data serves as the raw material for these systems, which derive valuable insights from it. Organizations are increasingly recognizing the benefits of integrating big data with machine learning. However, to fully harness the power of both, it’s crucial to understand their individual capabilities. Understanding Big Data Big data involves extracting and analyzing information from large quantities of data, but volume is just one aspect. Other critical “Vs” of big data that enterprises must manage include velocity, variety, veracity, validity, visualization, and value. Understanding Machine Learning Machine learning, the backbone of modern AI, adds significant value to big data applications by deriving deeper insights. These systems learn and adapt over time without the need for explicit programming, using statistical models to analyze and infer patterns from data. Historically, companies relied on complex, rules-based systems for reporting, which often proved inflexible and unable to cope with constant changes. Today, machine learning and deep learning enable systems to learn from big data, enhancing decision-making, business intelligence, and predictive analysis. The strength of machine learning lies in its ability to discover patterns in data. The more data available, the more these algorithms can identify patterns and apply them to future data. Applications range from recommendation systems and anomaly detection to image recognition and natural language processing (NLP). Categories of Machine Learning Algorithms Machine learning algorithms generally fall into three categories: The most powerful large language models (LLMs), which underpin today’s widely used generative AI systems, utilize a combination of these methods, learning from massive datasets. Understanding Generative AI Generative AI models are among the most powerful and popular AI applications, creating new data based on patterns learned from extensive training datasets. These models, which interact with users through conversational interfaces, are trained on vast amounts of internet data, including conversations, interviews, and social media posts. With pre-trained LLMs, users can generate new text, images, audio, and other outputs using natural language prompts, without the need for coding or specialized models. How Does AI Benefit Big Data? AI, combined with big data, is transforming businesses across various sectors. Key benefits include: Big Data and Machine Learning: A Synergistic Relationship Big data and machine learning are not competing concepts; when combined, they deliver remarkable results. Emerging big data techniques offer powerful ways to manage and analyze data, while machine learning models extract valuable insights from it. Successfully handling the various “Vs” of big data enhances the accuracy and power of machine learning models, leading to better business outcomes. The volume of data is expected to grow exponentially, with predictions of over 660 zettabytes of data worldwide by 2030. As data continues to amass, machine learning will become increasingly reliant on big data, and companies that fail to leverage this combination will struggle to keep up. Examples of AI and Big Data in Action Many organizations are already harnessing the power of machine learning-enhanced big data analytics: Conclusion The integration of AI and big data is crucial for organizations seeking to drive digital transformation and gain a competitive edge. As companies continue to combine these technologies, they will unlock new opportunities for personalization, efficiency, and innovation, ensuring they remain at the forefront of 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 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 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

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August 31, 2024in Data, Enterprise, Generative AI, Google, Salesforce, Technology
Introducing the New Nonprofit Cloud
26Aug

Salesforce Transforming Nonprofit Operations with AI

Salesforce Enhances Nonprofit Cloud with Generative AI Capabilities On August 6, 2024, Salesforce announced that its Nonprofit Cloud is now equipped with generative AI capabilities powered by the Einstein 1 Platform. This integration represents the first time Salesforce’s Industry Cloud portfolio has incorporated the Einstein 1 Platform, signaling a broader commitment to embedding AI tools across its product offerings. The update aims to revolutionize nonprofit operations by providing AI-powered tools for personalized donor engagement, operational efficiency, and funding discovery. Key features include AI-generated fundraising proposals and program summaries, which provide concise insights into grant details, donor histories, and program outcomes. Transforming Nonprofit Operations with AI The integration of generative AI into Nonprofit Cloud aligns with Salesforce’s strategy to empower nonprofits to navigate challenges such as donor fatigue, increased operational costs, and rising service demands. Notable enhancements include: Additionally, Salesforce launched Data Cloud for Nonprofits, enabling a unified, real-time view of donor, volunteer, and program data. This innovation breaks down data silos, empowering nonprofits to create tailored outreach strategies and assess program performance effectively. Four Pillars of AI Success Salesforce’s enhancements to Nonprofit Cloud embody its “four-pillar” approach to enterprise AI success: Key Innovations in Nonprofit Cloud Salesforce introduced three groundbreaking innovations to address nonprofit-specific challenges: These features, coupled with Nonprofit Cloud Einstein 1 Edition (which bundles Nonprofit Cloud, Data Cloud, Einstein, Experience Cloud, and Slack), provide nonprofits with comprehensive tools to drive impact. Nonprofit Adoption and Impact Nonprofits are already experiencing the transformative potential of AI. According to Salesforce’s Nonprofit Trends Report, organizations leveraging these AI tools have seen: Julie Fleshman, CEO of the Pancreatic Cancer Action Network, shared her organization’s success with Nonprofit Cloud: “Salesforce has been instrumental in helping us connect patients with specialized healthcare providers and clinical trials, advancing our mission and saving valuable time.” Nonprofit Cloud vs. NPSP While Nonprofit Cloud offers a unified, scalable platform with AI-driven insights and advanced donor management tools, the Nonprofit Success Pack (NPSP) serves as a free, open-source solution for smaller organizations. Here’s a quick comparison: Feature Nonprofit Cloud NPSP Functionality Comprehensive CRM with advanced tools Free app with basic CRM functionality Integration Seamless with other Salesforce products Requires additional configuration Ease of Use User-friendly and designed for nonprofits May require technical expertise Cost Subscription-based Free with optional paid add-ons Scalability Built for growing organizations Requires customization for growth Ideal Users Large and mid-sized nonprofits Small nonprofits Maximizing Fundraising with Nonprofit Cloud Nonprofit Cloud offers nonprofits flexibility and efficiency in managing their fundraising efforts, helping them overcome challenges like donor fatigue and retention. Its advanced features include: By leveraging these tools, nonprofits can improve engagement, strengthen donor relationships, and make data-driven decisions, ultimately amplifying their impact. The Tectonic Role Tectonic has been instrumental in implementing Salesforce Nonprofit Cloud for multiple organizations, ensuring they harness its full potential to optimize operations, engage donors, and achieve their missions. With Salesforce’s AI-driven enhancements and Tectonic’s expertise, nonprofits are poised to navigate challenges, unlock new opportunities, and amplify their societal impact. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more 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

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August 26, 2024in AI Tools, Data, Einstein 1 Platform, Enterprise, Generative AI, Salesforce, Salesforce Nonprofit Cloud
Unlocking Enterprise AI Success
26Aug

Unlocking Enterprise AI Success

Companies are diving into artificial intelligence. Unlocking enterprise AI success depends on four main factors. Tectonic is here to help you address each. Trust is Important-Trust is Everything Data is everything—it’s reshaping business models and steering the world through health and economic challenges. But data alone isn’t enough; in fact, it can be worse than useless—it’s a risk unless it’s trustworthy. The solution lies in a data trust strategy: one that maximizes data’s potential to create value while minimizing the risks associated with it. Data Trust is Declining, Not Improving Do you believe your company is making its data and data practices more trustworthy? If so, you’re in line with most business leaders. However, there’s a disconnect: consumers don’t share this belief. While 55% of business leaders think consumers trust them with data more than they did two years ago, only 21% of consumers report increased trust in how companies use their data. In fact, 28% say their trust has decreased, and a staggering 76% of global consumers view sharing their data with companies as a “necessary evil.” For companies that manage to build trust in their data, the benefits are substantial. Yet, only 37% of companies with a formal data valuation process involve privacy teams. Integrating privacy is just one aspect of building data trust, but companies that do so are already more than twice as likely as their peers to report returns on investment from key data-driven initiatives, such as developing new products and services, enhancing workforce effectiveness, and optimizing business operations. To truly excel, companies need to create an ongoing system that continually transforms raw information into trusted, business-critical data. Data is the Backbone-Data is the Key Data leaks, as shown below, are a major factor on data trust and quality. As bad as leaked data is to security, data availability is to being a data-driven organization. Extortionist Attack on Costa Rican Government Agencies In an unprecedented event in April 2022, the extortionist group Conti launched a cyberattack on Costa Rican government agencies, demanding a $20 million ransom. The attack crippled much of the country’s IT infrastructure, leading to a declared state of emergency. Lapsus$ Attacks on Okta, Nvidia, Microsoft, Samsung, and Other Companies The Lapsus$ group targeted several major IT companies in 2022, including Okta, Nvidia, Microsoft, and Samsung. Earlier in the year, Okta, known for its account and access management solutions—including multi-factor authentication—was breached. Attack on Swissport International Swissport International, a Swiss provider of air cargo and ground handling services operating at 310 airports across 50 countries, was hit by ransomware. The attack caused numerous flight delays and resulted in the theft of 1.6 TB of data, highlighting the severe consequences of such breaches on global logistics. Attack on Vodafone Portugal Vodafone Portugal, a major telecommunications operator, suffered a cyberattack that disrupted services nationwide, affecting 4G and 5G networks, SMS messaging, and TV services. With over 4 million cellular subscribers and 3.4 million internet users, the impact was widespread across Portugal. Data Leak of Indonesian Citizens In a massive breach, an archive containing data on 105 million Indonesian citizens—about 40% of the country’s population—was put up for sale on a dark web forum. The data, believed to have been stolen from the “General Election Commission,” included full names, birth dates, and other personal information. The Critical Importance of Accurate Data There’s no shortage of maxims emphasizing how data has become one of the most vital resources for businesses and organizations. At Tectonic, we agree that the best decisions are driven by accurate and relevant data. However, we also caution that simply having more data doesn’t necessarily lead to better decision-making. In fact, we argue that data accuracy is far more important than data abundance. Making decisions based on incorrect or irrelevant data is often worse than having too little of the right data. This is why accurate data is crucial, and we’ll explore this concept further in the following sections. Accurate data is information that truly reflects reality or another source of truth. It can be tested against facts or evidence to verify that it represents something as it actually is, such as a person’s contact details or a location’s coordinates. Accuracy is often confused with precision, but they are distinct concepts. Precision refers to how consistent or varied values are relative to one another, typically measured against some other variable. Thus, data can be accurate, precise, both, or neither. Another key factor in data accuracy is the time elapsed between when data is produced and when it is collected and used. The shorter this time frame, the more likely the data is to be accurate. As modern businesses integrate data into more aspects of their operations, they stand to gain significant competitive advantages if done correctly. However, this also means there’s more at stake if the data is inaccurate. The following points will highlight why accurate data is critical to various facets of your company. Ease and speed of access Access speeds are measured in bytes per second (Bps). Slower devices operate in thousands of Bps (kBps), while faster devices can reach millions of Bps (MBps). For example, a hard drive can read and write data at speeds of 300MBps, which is 5,000 times faster than a floppy disk! Fast data refers to data in motion, streaming into applications and computing environments from countless endpoints—ranging from mobile devices and sensor networks to financial transactions, stock tick feeds, logs, retail systems, and telco call routing and authorization systems. Improving data access speeds can significantly enhance operational efficiency by providing timely and accurate data to stakeholders throughout an organization. This can streamline business processes, reduce costs, and boost productivity. However, data access is not just about retrieving information. It plays a crucial role in ensuring data integrity, security, and regulatory compliance. Effective data access strategies help organizations safeguard sensitive information from unauthorized access while making it readily available to those who are authorized. Additionally, the accuracy and availability of data are essential to prevent data

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August 26, 2024in Salesforce
Loan Boarding and Approval
24Aug

Loan Boarding and Approval

Streamlining Loan Boarding and Approval Processes with Salesforce Technology The financial services industry is undergoing a rapid transformation, driven by the need for greater efficiency and improved customer experiences. One area where this shift is particularly evident is in the loan boarding and approval processes. Leveraging Salesforce technology, financial institutions can streamline these essential workflows, enhancing both speed and accuracy while delivering a superior borrower experience. Understanding Loan Boarding Loan boarding is the process of transitioning a loan from its origination phase into servicing. This involves several key steps, including data entry, document management, and compliance checks. Traditionally, this process has been manual, cumbersome, and prone to errors. However, Salesforce offers robust capabilities that allow organizations to automate and optimize these tasks, significantly reducing inefficiencies. Automating Data Entry Salesforce facilitates automated data entry through its customizable forms and integration capabilities. Tools like Salesforce Flow and Apex enable businesses to create workflows that automatically populate fields based on predefined criteria or data extracted from documents using Optical Character Recognition (OCR) technology. This automation reduces manual errors and accelerates the loan boarding process. Efficient Document Management Effective document management is crucial in loan boarding. Salesforce provides a centralized platform for secure storage and easy access to all necessary documents. Features like Salesforce Files enable organizations to manage documentation efficiently, allowing for easy retrieval, sharing, and version control. This streamlined document management ensures that all relevant information is readily available throughout the loan lifecycle. Streamlining Handoff and Approval Processes After a loan is boarded, it must go through a series of approvals before disbursement. The handoff between departments such as underwriting and risk assessment can cause delays if not properly managed. Salesforce’s collaborative tools facilitate seamless communication among stakeholders, ensuring a smooth transition through the approval process. Customizable Approval Workflows Salesforce allows for the creation of customizable approval workflows, enabling organizations to define specific criteria for each stage of loan approval. This flexibility ensures that loans are reviewed by the appropriate personnel based on their complexity or risk profile. Automated alerts notify relevant team members when their input is needed, minimizing bottlenecks and keeping the process moving efficiently. Enhanced Visibility with Real-Time Dashboards One of Salesforce’s standout features is its ability to generate real-time dashboards that provide insights into various stages of the loan process. Stakeholders can monitor key metrics, such as the average time for approvals or the number of loans pending at each stage, through intuitive visualizations. This transparency promotes quicker decision-making and fosters accountability within the team. Seamless Disbursement Process Once loans are approved, the disbursement phase is the next critical step. Salesforce’s integration capabilities with payment processing systems, such as NACHA/ACH solutions, allow organizations to automate fund transfers directly within the platform, streamlining the disbursement process. Automating Payment Processing Automated triggers for payments can be set up within Salesforce, reducing the need for manual intervention. This automation speeds up the disbursement process and minimizes the risk of errors associated with manual data entry during fund transfers, ensuring a smooth and reliable process. Comprehensive Portfolio Management Managing a large loan portfolio requires meticulous tracking of various elements, including amortization schedules, repayments, interest accruals, and fees. Salesforce excels in these areas, offering tools to manage all aspects of a loan portfolio effectively. Dynamic Amortization and Repayment Schedules Salesforce enables the creation of dynamic amortization schedules tailored to individual borrower agreements, easily accessible via custom borrower portals. These portals enhance borrower engagement by providing real-time information about repayment obligations and remaining balances, improving transparency and customer satisfaction. Fee Automation Automating fee calculations within Salesforce reduces administrative burdens and ensures accurate billing according to agreed-upon terms. This feature helps avoid discrepancies and delays, providing a seamless experience for both the lender and the borrower. Risk Management and Collections In today’s volatile economic environment, effective risk management is essential for financial institutions. Salesforce’s advanced analytics and performance rating tools allow organizations to proactively identify potential risks before they escalate, enabling more informed lending decisions. Performance and Risk Ratings By analyzing historical data, Salesforce enables lenders to assign risk ratings based on borrowers’ past behaviors and external market conditions. This data-driven approach supports more accurate and strategic lending decisions, helping to mitigate risk. Effective Collections Strategies For overdue accounts, Salesforce’s task management features automate reminders and follow-ups, ensuring timely communication and effective debt recovery. Maintaining open communication channels with borrowers during the collections process is crucial for preserving relationships and achieving successful outcomes. Conclusion: Embracing Digital Transformation By embracing digital transformation through Salesforce technology, financial institutions can significantly streamline their loan boarding and approval processes. This not only enhances operational efficiency but also positions them competitively in a tech-driven marketplace, delivering the high-quality service that today’s consumers demand. Salesforce’s powerful tools enable institutions to meet the unique needs of their borrowers effectively, ensuring both efficiency and excellence in service delivery. 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 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

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August 24, 2024in Salesforce
Pulse for Salesforce
24Aug

Pulse for Salesforce

Salesforce Unveils Pulse for Salesforce: Integrating Tableau Analytics with CRM to Revolutionize Data-Driven Decision-Making In today’s data heavy business world, where data-driven decision-making is essential for success, the fusion of advanced analytics with customer relationship management (CRM) systems is more crucial than ever. Addressing this need, Salesforce has introduced Pulse for Salesforce, a groundbreaking tool that integrates Tableau’s powerful analytics directly into the Salesforce CRM environment. Meeting the Demand for Actionable Insights This launch aligns with a broader trend in the business intelligence (BI) market, where companies strive to make data analytics more accessible and actionable for non-technical users. Recent studies indicate that while 80% of business leaders view data as critical to decision-making, nearly one-third feel overwhelmed by the sheer volume of information available. Moreover, 91% of these leaders believe their organizations would significantly benefit from generative AI (Gen AI) technologies. Pulse for Salesforce marks a significant milestone in Salesforce’s ongoing strategy following its $15.7 billion acquisition of Tableau in 2019. Tableau, a leader in data visualization and BI since its founding in 2003, has been central to Salesforce’s mission of enhancing customer data management and analysis. The integration of Tableau’s capabilities within Salesforce’s CRM platform represents a major step forward in providing a comprehensive, data-driven solution. Ryan Aytay, President and CEO of Tableau, on the New Integration “Historically, sales leaders and teams have lacked personalized, accessible data insights in their daily flow of work, and analysts often spend considerable time on ad hoc requests and repetitive queries, slowing down decision-making and business growth,” says Ryan Aytay, CEO of Tableau. “By integrating Tableau Pulse’s AI-driven insights into Salesforce, we’re addressing these needs and enhancing data-driven decision-making to help businesses accelerate growth.” Boosting CRM Productivity with Salesforce’s AI Platform Pulse for Salesforce is built on Salesforce’s Einstein 1 AI Platform and leverages Gen AI to provide contextual metrics and insights directly within the Salesforce interface. This seamless integration streamlines decision-making for sales teams by reducing the need for manual data searches or reliance on analysts for ad-hoc queries. Key Features of Pulse for Salesforce Practical Applications and Data Security A practical application of Pulse for Salesforce is performance monitoring. Sales leaders can track team win rate trends directly from their homepage, quickly identifying areas or individuals needing additional support. Similarly, individual sales representatives can monitor their conversion rates and use natural language queries to analyze data by industry, potentially leading to more targeted sales efforts. The integration also addresses data security concerns, a critical issue in the age of AI-powered analytics. Pulse for Salesforce employs the Einstein Trust Layer, a secure AI architecture built into the Einstein 1 Platform, ensuring that customer data remains protected while benefiting from the advanced capabilities of generative AI. Collaboration Salesforce partnered with key industry players and partners to bring this innovative solution to market. With Pulse for Salesforce, organizations can now fully harness the power of integrated analytics and CRM to drive informed decision-making, enhance productivity, and ultimately accelerate business growth. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more 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

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August 24, 2024in Einstein 1 Platform, Einstein Insights, Generative AI, Salesforce Development Services, Salesforce Einstein, Salesforce Optimization, Salesforce Tableau
Why Choose Salesforce as Your Mortgage CRM?
22Aug

Banking Complaints to Profits

Tectonic: Elevating Complaint Management in Banking with Salesforce Customer satisfaction is key in banking, but complaints are unavoidable. Banking Complaints to Profits is not only learning from complaints but increasing revenue by them. Banking complaints also present a unique opportunity. Handled effectively, complaints can offer valuable insights that drive process improvements and ultimately strengthen customer relationships. Banking Complaints to Profits Banks need a robust, strategic complaint management system to capitalize on this opportunity. Such a system must go beyond simply documenting and resolving grievances. It must enable banks to proactively identify trends, assess root causes, and implement targeted solutions that address individual complaints and prevent future issues. Salesforce offers a comprehensive platform that can transform your complaint management process. Let’s explore how its key features align perfectly with the needs of a strategic approach. Streamlining Complaint Intake Salesforce simplifies and customizes the process of collecting customer complaints, aligning with your specific policies and regulatory needs. Its dynamic intake process ensures a smooth and compliant experience for your customers and your team. Efficient Complaint Lifecycle Management Salesforce streamlines the entire complaint management process, ensuring seamless routing to the right teams and individuals for swift resolution. Automated assignments, milestone tracking, and clear follow-up expectations (including Service Level Agreements) guarantee accountability and efficiency at every stage. Automated escalations expedite resolutions when needed, ensuring regulatory compliance and maximizing customer satisfaction. Securing Your Complaint Data Salesforce prioritizes data security with Shield and Financial Services Cloud’s Compliance Data Sharing Model to ensure the confidentiality of sensitive complaint information through robust access controls and permissions. This guarantees that only authorized personnel can view and interact with sensitive data, maintaining the highest levels of privacy and compliance. Centralizing and Unifying Your Data Beyond security, Salesforce eliminates information silos by centralizing complaint data from across your organization. This creates a single source of truth, providing a comprehensive and unified view of customer feedback. This holistic perspective enables deeper analysis, informed decision-making, and a more proactive and practical approach to complaint management. Harnessing Complaint Data for Continuous Improvement Financial Services Cloud’s Case Management and Data Processing Engines can give you a complete view of customer complaints and their lifecycle. By harnessing this case data within CRM Analytics, you can enhance the customer 360, proactively monitor trends, prioritize areas for improvement, and enhance the customer experience while effectively mitigating risk. The Future of Complaint Management: Salesforce as a Strategic Advantage In an increasingly competitive and regulated landscape, banks must be equipped to address customer complaints efficiently and leverage them for continuous improvement. By combining Salesforce’s power with a strategic, customer-centric approach, banks can turn complaints into a catalyst for growth, ensuring a more resilient and customer-focused future. At Tectonic, we’ve watched firsthand how a well-designed complaint management system can transform customer interactions from points of friction into opportunities for improvement. Our experience in the financial services sector has taught us that technology is only part of the equation. A comprehensive approach, encompassing data-driven insights, staff training, and ongoing process optimization, is essential for maximizing the benefits of any system. Chat with our financial services experts to learn how Salesforce can transform your complaint management process to deliver exceptional service and strengthen trusted customer relationships. 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 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

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August 22, 2024in Salesforce Financial Cloud, Salesforce Financial Services Solutions, Salesforce Optimization
Salesforce Data Snowflake and You
19Aug

Salesforce Data Snowflake and You

Unlock the Full Potential of Your Salesforce Data with Snowflake At Tectonic, we’ve dedicated years to helping businesses maximize their Salesforce investment, driving growth and enhancing customer experiences. Now, we’re expanding those capabilities by integrating with Snowflake.Imagine the power of merging Salesforce data with other sources, gaining deeper insights, and making smarter decisions—without the hassle of complex infrastructure. Snowflake brings this to life with a flexible, scalable solution for unifying your data ecosystem.In this insight, we’ll cover why Snowflake is essential for Salesforce users, how seamlessly it integrates, and why Tectonic is the ideal partner to help you leverage its full potential. Why Snowflake Matters for Salesforce Users Salesforce excels at managing customer relationships, but businesses today need data from multiple sources—e-commerce, marketing platforms, ERP systems, and more. That’s where Snowflake shines. With Snowflake, you can unify these data sources, enrich your Salesforce data, and turn it into actionable insights. Say goodbye to silos and blind spots. Snowflake is easy to set up, scales effortlessly, and integrates seamlessly with Salesforce, making it ideal for enhancing CRM data across various business functions.The Power of Snowflake for Salesforce Users Enterprise-Grade Security & GovernanceSnowflake ensures that your data is secure and compliant. With top-tier security and data governance tools, your customer data remains protected and meets regulatory requirements across platforms, seamlessly integrating with Salesforce. Cross-Cloud Data SharingSnowflake’s Snowgrid feature makes it easy for Salesforce users to share and collaborate on data across clouds. Teams across marketing, sales, and operations can access the same up-to-date information, leading to better collaboration and faster, more informed decisions. Real-Time Data ActivationCombine Snowflake’s data platform with Salesforce Data Cloud to activate insights in real-time, enabling enriched customer experiences through dynamic insights from web interactions, purchase history, and service touchpoints. Tectonic + Snowflake: Elevating Your Salesforce Experience Snowflake offers powerful data capabilities, but effective integration is key to realizing its full potential—and that’s where Tectonic excels. Our expertise in Salesforce, now combined with Snowflake, ensures that businesses can maximize their data strategies. How Tectonic Helps: Strategic Integration Planning: We assess your current data ecosystem and design a seamless integration between Salesforce and Snowflake to unify data without disrupting operations. Custom Data Solutions: From real-time dashboards to data enrichment workflows, we create solutions tailored to your business needs. Ongoing Support and Optimization: Tectonic provides continuous support, adapting your Snowflake integration to meet evolving data needs and business strategies. Real-World Applications Retail: Integrate in-store and e-commerce sales data with Salesforce for real-time customer insights. Healthcare: Unify patient data from wearables, EMRs, and support interactions for a holistic customer care experience. Financial Services: Enhance Salesforce data with third-party risk assessments, enabling quicker, more accurate underwriting. Looking Ahead: The Tectonic Advantage Snowflake opens up new possibilities for Salesforce-powered businesses. Effective integration, however, requires strategic planning and hands-on expertise. Tectonic has a long-standing track record of helping clients get the most out of Salesforce, and now, Snowflake adds an extra dimension to our toolkit. Whether you want to better manage data, unlock insights, or enhance AI initiatives, Tectonic’s combined Salesforce and Snowflake expertise ensures you’ll harness the best of both worlds. Stay tuned as we dive deeper into Snowflake’s features, such as Interoperable Storage, Elastic Compute, and Cortex AI with Arctic, and explore how Tectonic is helping businesses unlock the future of data and AI. Ready to talk about how Snowflake and Salesforce can transform your business? Contact Tectonic today! Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more 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

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August 19, 2024in Data, Enterprise, Salesforce, Salesforce Data Cloud, Snowflake
Salesforce on AI
18Aug

Salesforce on AI

Marketing success hinges on delivering consistent, timely, and engaging content. According to the Salesforce State of Marketing report, 78% of high-performing marketers identify data as their most critical asset for creating cohesive customer journeys. Yet, only 49% report having a unified view of customer data sources. This disconnect highlights a significant challenge many marketing teams face in effectively leveraging their data. For organizations already invested in Salesforce, incorporating AI-driven business intelligence (BI) tools offers numerous benefits. These include reduced time to deliver insights, enhanced automation, increased innovation, improved agility, and cost savings. However, realizing these benefits depends on having high-quality data and robust data strategies. This insight explores AI-driven BI from a Salesforce perspective, highlighting its benefits, applications, and future trends. By understanding the potential of AI in BI, organizations can better harness their data to drive success and innovation. The Role of AI in Business Intelligence Integrating AI into BI systems elevates data analysis by offering deeper insights and predictive capabilities. Here’s how AI enhances BI: These examples demonstrate AI’s ability to improve BI systems by enhancing data accuracy, providing real-time insights, and improving forecasting. Salesforce’s AI Capabilities in BI Salesforce’s AI capabilities in BI are embodied in the versatile tool, Salesforce Einstein. Easily integrated with BI, Einstein automates tasks and delivers personalized insights. Companies using Einstein have reported a 20% increase in sales productivity. Here’s how Einstein can be utilized in various scenarios: These examples illustrate how Salesforce’s AI tools, particularly Einstein, can transform BI by automating routine tasks and delivering personalized insights, ultimately driving customer satisfaction and business growth. Future Trends in AI and BI The future of AI and BI promises even more advanced capabilities and innovations. As AI evolves, so too will the tools for BI. Here are some trends expected to emerge in the near future: These trends show that AI and BI are evolving rapidly. Companies that stay ahead of these developments will be well-positioned to leverage AI for greater innovation and efficiency. Next Steps AI-powered BI, especially with Salesforce, is transforming how businesses operate by providing deeper insights and better decision-making capabilities. To stay competitive and foster innovation, organizations must embrace AI. The quest is no longer just to be data-driven. It is to be data-decisioned. Here are some actionable steps: By taking these steps, businesses can fully leverage AI-driven BI and maintain a competitive edge in the fast-evolving digital playinf field of AI. 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 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

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August 18, 2024in Salesforce Einstein

Salesforce and AdvoLogix

SUGAR LAND, Texas, Aug. 12, 2024 /PRNewswire/ — AdvoLogix, a leader in legal technology, is excited to announce its groundbreaking Legal Assistant AI, a comprehensive suite of AI tools designed specifically for the legal industry. Law firms face mounting pressure to deliver exceptional client service while managing rising costs and complexities. This innovative solution seamlessly integrates with Salesforce, automating tasks and leveraging the power of AI to streamline law firm operations while ensuring security with its Trust and Safety Layer. Our AI’s Trust and Safety Layer, ensures that law firms can trust our technology to protect sensitive information. AdvoLogix Legal Assistant AI significantly enhances daily workflows with advanced capabilities such as document automation, financial management, client and matter intake, case management, and workflow optimization. Customizable based on unique data sets, these AI agents can be tailored to meet the specific needs of any legal organization. For example, law firms can create AI agents to address the nuanced requirements of particular clients or specialized areas of practice. The AI’s Trust and Safety Layer ensures secure data retrieval, grounding, prompt defense, and compliance, providing law firms with the confidence that their sensitive information is protected. By embedding these tools directly into the Salesforce platform, AdvoLogix delivers a powerful, integrated solution that leverages the power of AI in the context of daily law firm operations. Leveraging SALI Tags for Enhanced Data Management One of the standout features of the AdvoLogix Legal Assistant AI is its integration with the SALI (Standards Advancement for the Legal Industry) taxonomy. By leveraging Salesforce workflows, attorneys can quickly and accurately tag matters with SALI tags, enabling data-driven insights and improved matter management. This seamless integration ensures that valuable data is captured and utilized effectively to inform strategic decisions. Customizable AI Models for Tailored Legal Support AdvoLogix offers fine-tuned AI models specifically trained for legal activities. These models can be easily integrated into Salesforce workflows to automate tasks such as record and document retrieval, document summarization, and system data queries. Additionally, these AI models have the capability to ask and receive answers to general or specific legal questions on any topic, all from the perspective of an attorney. By leveraging the power of AI within the familiar Salesforce environment, legal professionals can focus on higher-value activities while the AI handles routine tasks. Some features are currently available in controlled release. A Commitment to Security and Accuracy “By embedding our AI capabilities into Salesforce workflows, we’ve developed a robust solution that allows legal professionals to benefit from AI services that are safe and highly efficient during normal work activities. Our AI’s Trust and Safety Layer, featuring secure data retrieval, grounding, prompt defense, and more, ensures that law firms can trust our technology to protect sensitive information. This focus on security, accuracy, and compliance is crucial for modern legal practices,” said Jonathan Reed, CEO of AdvoLogix. Experience the Future of Legal AI at ILTACON 2024 Visit AdvoLogix at Booth #346 to see live demonstrations of our Legal Assistant AI capabilities and discover how they can transform your firm’s operational efficiency. Our experts will be available to answer your questions and provide tailored insights into how our AI solutions can enhance your legal workflows and financial management. About AdvoLogix Founded in 2006, AdvoLogix is a premier provider of AI-driven technology solutions, helping businesses in the legal technology sector and beyond streamline operations, reduce costs, and improve productivity. With a broad range of native integrations that seamlessly integrate with Salesforce, AdvoLogix delivers measurable gains in productivity and efficiency. For more information, visit www.advologix.com and follow AdvoLogix on LinkedIn @AdvoLogix. Media Contact:Marketing [email protected] 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 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

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August 12, 2024in Salesforce
Benefits of Loan Software for Government Agencies on Salesforce
08Aug

Benefits of Loan Software for Government Agencies on Salesforce

The Benefits of Loan Software for Government Agencies on Salesforce Government agencies managing loans face unique challenges in financial administration, and integrating loan software with Salesforce can greatly enhance their efficiency, accuracy, and transparency. This streamlined solution addresses key areas such as document management, borrower engagement, and robust reporting, making processes more efficient and improving service delivery. Centralized Document Management Loan software offers a central hub for managing extensive paperwork, helping government agencies manage loan applications, agreements, and compliance documents. Key benefits include: This centralized approach saves time and helps agencies maintain audit-ready records. Improved Borrower Management Loan software on Salesforce offers a seamless borrower management experience through custom borrower portals. Features include: By improving borrower relationships, agencies can foster trust and boost repayment rates. Powerful Reporting and Dashboards Salesforce’s loan software provides comprehensive reporting tools to support data-driven decision-making: These tools provide insights that help agencies manage loans efficiently while aligning with fiscal goals. Efficient Payment Processing Loan software simplifies payment workflows, providing: This automation improves payment accuracy and speeds up processing times for both agencies and borrowers. Conclusion Integrating loan software with Salesforce offers government agencies significant benefits, from enhanced document management to improved borrower engagement, advanced reporting, and efficient payment processing. These solutions help agencies better serve citizens while maintaining compliance and fiscal responsibility. 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 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

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August 8, 2024in Salesforce Implementation Services, Salesforce Optimization, Salesforce Public Sector Solutions
ChatBots in Medical Diagnostics
28Jul

ChatBots in Medical Diagnostics

Researchers from the National Institutes of Health (NIH) have demonstrated that a multimodal AI can achieve high accuracy on a medical diagnostic quiz, yet struggles to describe medical images and explain the reasoning behind its answers. ChatBots in Medical Diagnostics may not be ready for prime time. To evaluate AI’s potential in clinical settings, the research team tasked Generative Pre-trained Transformer 4 with Vision (GPT-4V) with answering 207 questions from the New England Journal of Medicine (NEJM) Image Challenge. This challenge, designed to help healthcare professionals test their diagnostic abilities, prompts users to select a diagnosis from multiple-choice options after reviewing clinical images and a text-based description of patient symptoms. The researchers asked the AI to both answer the questions and provide a rationale for each answer, including a description of the image presented, a summary of current, relevant clinical knowledge, and step-by-step reasoning for how GPT-4V arrived at its answer. Nine clinicians from various specialties were also tasked with answering the same questions, first in a closed-book environment with no access to external resources, then in an open-book setting where they could refer to external sources. The research team then provided the clinicians with the correct answers and the AI’s responses, asking them to score GPT-4V’s ability to describe the images, summarize medical knowledge, and provide step-by-step reasoning. The analysis revealed that both clinicians and the AI scored highly in choosing the correct diagnosis. In closed-book settings, the AI outperformed the clinicians, whereas humans outperformed the model in open-book settings. Moreover, GPT-4V frequently made mistakes when explaining its reasoning and describing medical images, even in cases where it selected the correct answer. Despite the study’s small sample size, the researchers noted that their findings highlight how multimodal AI could be used to provide clinical decision support. “This technology has the potential to help clinicians augment their capabilities with data-driven insights that may lead to improved clinical decision-making,” said Zhiyong Lu, Ph.D., corresponding author of the study and senior investigator at NIH’s National Library of Medicine (NLM), in a press release. “Understanding the risks and limitations of this technology is essential to harnessing its potential in medicine.” However, the research team emphasized the importance of assessing AI-based clinical decision support tools. “Integration of AI into healthcare holds great promise as a tool to help medical professionals diagnose patients faster, allowing them to start treatment sooner,” explained Stephen Sherry, Ph.D., NLM acting director. “However, as this study shows, AI is not advanced enough yet to replace human experience, which is crucial for accurate diagnosis.” 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 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

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July 28, 2024in Salesforce
Salesforce Workday Partnership
24Jul

Salesforce Workday Partnership

Salesforce and Workday Partner to Launch AI-Powered Employee Service Agent Salesforce (NYSE: CRM), the leading AI CRM platform, and Workday, Inc. (NASDAQ: WDAY), a leader in enterprise cloud applications for finance and HR, today announced a strategic partnership to develop a new AI-powered employee service agent. This solution will enhance employee experiences by automating routine tasks, providing personalized support, and delivering data-driven insights across Salesforce and Workday platforms. A Unified Data Foundation for Enhanced Employee Services The partnership will integrate HR and financial data from Workday with CRM data from Salesforce, creating a unified data foundation. This integration will enable the development of AI-driven use cases that increase productivity, reduce costs, and improve the employee experience. A key feature will be the seamless incorporation of Workday into Slack, allowing for enhanced automation and collaboration around HR and financial records, using AI. The new AI employee service agent, built on Salesforce’s Agentforce Platform and Einstein AI, alongside Workday AI, will cater to various employee service needs, such as onboarding, health benefits management, and career development. This agent will utilize a company’s data to interact with employees in natural language, offering personalized support and executing tasks based on trusted business rules and permissions. Enhancing Employee and Customer Success “The AI opportunity lies in augmenting employees and delivering exceptional customer experiences. Our collaboration with Workday will empower businesses to create remarkable experiences using generative and autonomous AI, allowing employees to efficiently find answers, learn new skills, solve problems, and take actions.” Marc Benioff, Chair and CEO of Salesforce Carl Eschenbach, CEO of Workday, highlighted the integration’s benefits: “By combining our platforms, data, and AI capabilities, we empower customers to deliver unmatched AI-powered employee experiences, leading to happier customers and substantial business value.” Key Features of the Partnership Benefits for Employees and Employers For Employees: For Employers: Sal Companieh, Chief Digital and Information Officer at Cushman & Wakefield, noted the strategic advantage: “The integration of Workday and Salesforce will streamline workflows and deliver more personalized, AI-powered employee experiences, significantly enhancing our operational efficiency.” “The shared data foundation between Workday and Salesforce will enable these partners to deliver transformative AI capabilities, enhancing employee experiences and driving business performance.” R “Ray” Wang, CEO of Constellation Research, Inc. About Workday Workday is a leading enterprise platform that helps organizations manage their most important assets – their people and money. The Workday platform is built with AI at the core to help customers elevate people, supercharge work, and move their business forever forward. Workday is used by more than 10,500 organizations around the world and across industries – from medium-sized businesses to more than 60% of the Fortune 500. For more information about Workday, visit workday.com. 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 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

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July 24, 2024in Einstein 1 Platform, Salesforce Data Cloud, Salesforce Einstein, Salesforce Implementation Services, Salesforce Slack
Where Will the Data Scientists Go
13Jul

Where Will the Data Scientists Go

What Is to Become of the Data Scientist Role? This question frequently arises among executives, particularly as they navigate the changing roles of data teams, such as those at DataRobot. Where Will the Data Scientists Go may not be as relevant as what new places can they go with AI? The short answer? While tools may evolve, the core of data science remains steadfast. As the field of data science continues to expand, the role of the data scientist becomes increasingly vital. The need will grow, even as the role changes. Trust in AI is dependant upon human oversight. Beyond the Hype of Consumer AI The surge in consumer AI products has raised concerns among data scientists about the implications for their careers. However, these technologies are built on data and generate vast amounts of new data, presenting numerous opportunities. The real transformative potential lies in enterprise-scale automation. Enterprise-Scale Automation: The Data Scientist’s Domain Enterprise-scale automation involves creating large-scale, reliable systems. Data scientists are crucial in this effort, as they bring expertise in data exploration and systematic inference. They are uniquely positioned to identify automation opportunities, design testing and monitoring strategies, and collaborate with cross-functional teams to bring AI solutions from concept to implementation. As automation grows, the role of the data scientist is essential in ensuring these systems function effectively and safely, particularly in environments without human oversight. New Skills for Data Scientists: The Guardians of AI Applications Data scientists will need to acquire new skills to manage automation at scale, including securing the systems they build. Generative AI introduces new risks, such as potential vulnerabilities to prompt injections or other security threats. Governance and ensuring positive business impacts will become increasingly important, requiring a data science mindset. Building Great Data Teams in the Age of AI The future of data science will not be about automation replacing data scientists but about the evolution of roles and skills. Data scientists need to focus on the core foundations of their discipline rather than the specific tools they use, as tools will continue to evolve. Teams must be built intentionally, encompassing a range of skills and personalities necessary for successful enterprise automation. Business Leaders: Navigating the AI Landscape Business leaders will need to excel in decision-making, understanding the problems they aim to solve, and selecting the appropriate tools and teams. They will also need to manage evolving regulations, particularly those related to the design and deployment of AI systems. Data Scientists: Precision Thinkers at the Forefront Contrary to the belief that AI could replace coding skills, the essence of data science lies in precise thinking and clear communication. Data scientists excel in translating business needs into data-driven decisions and AI applications, ensuring that solutions are not only technically sound but also aligned with business objectives. This skill set will be crucial in the era of AI, as data scientists will play a key role in optimizing workflows, designing AI safety nets, and protecting their organization’s brand and reputation. The Evolving Role of Data Science The demand for precise, data-literate thinkers will only grow with the rise of enterprise AI systems. Whether they are called data scientists or another name, professionals who delve deeply into data and provide critical insights will remain essential in navigating the complexities of modern technology and business landscapes. 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 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

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July 13, 2024in Data, Enterprise, Generative AI, Salesforce, Technology

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