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Artificial Intelligence (AI) is significantly transforming threat detection by enabling faster, more accurate identification of potential security breaches through its ability to analyze vast amounts of data in real-time, detect anomalies and patterns that might indicate a threat, even when those threats are new or previously unknown, thus providing a proactive approach to cybersecurity compared to traditional rule-based systems.

AI is Transforming Threat Detection

Artificial Intelligence (AI) is significantly transforming threat detection by enabling faster, more accurate identification of potential security breaches through its ability to analyze vast amounts of data in real-time, detect anomalies and patterns that might indicate a threat, even when those threats are new or previously unknown, thus providing a proactive approach to cybersecurity compared to traditional rule-based systems.

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Collaborative Business Intelligence

Collaborative Business Intelligence

Collaborative BI combines BI tools with collaboration platforms, enabling users to connect data insights directly within their existing workflows. This integration enhances decision-making by reducing misunderstandings and fostering teamwork through real-time or asynchronous discussions about data. In traditional BI, data analysis was handled by data scientists and statisticians who translated insights for business users. However, the rise of self-service BI tools has democratized data access, allowing users of varying technical skills to create and share visualizations. Collaborative BI takes this a step further by embedding BI functions into collaboration platforms like Slack and Microsoft Teams. This setup allows users to ask questions, clarify context, and share reports within the same applications they already use, enhancing data-driven decisions across the organization. One real-life time saver in my experience is being able as a marketer to dig in to our BI and generate lists myself, without depending upon a team of data scientists. Benefits of Collaborative BI Leading Collaborative BI Platforms Several vendors offer collaborative BI solutions, each with unique integrations for communication and data sharing: Collaborative BI bridges data analysis with organizational collaboration, creating an agile environment for informed decision-making and effective knowledge sharing across all levels. 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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Salesforce Government Cloud Premium

Salesforce Government Cloud Premium

Software company Salesforce announced on Monday that it has rolled out a new version of its government cloud that has Top Secret authorization and is geared toward U.S. national security agencies and intelligence organizations.

The new offering, called Government Cloud Premium, is hosted on Amazon Web Services’ Top Secret cloud.

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Third Wave of AI at Salesforce

Third Wave of AI at Salesforce

The Third Wave of AI at Salesforce: How Agentforce is Transforming the Landscape At Dreamforce 2024, Salesforce unveiled several exciting innovations, with Agentforce taking center stage. This post explores the key changes and enhancements designed to improve efficiency and elevate customer interactions. Introducing Agentforce Agentforce is a customizable AI agent builder that empowers organizations to create and manage autonomous agents for various business tasks. But what exactly is an agent? An agent is akin to a chatbot but goes beyond traditional capabilities. While typical chatbots are restricted to scripted responses and predefined questions, Agentforce agents leverage large language models (LLMs) and generative AI to comprehend customer inquiries contextually. This enables them to make independent decisions, whether processing requests or resolving issues using real-time data from your company’s customer relationship management (CRM) system. The Role of Atlas At the heart of Agentforce’s functionality lies the Atlas reasoning engine, which acts as the operational brain. Unlike standard assistive tools, Atlas is an agentic system with the autonomy to act on behalf of the user. Atlas formulates a plan based on necessary actions and can adjust that plan based on evaluations or new information. When it’s time to engage, Atlas knows which business processes to activate and connects with customers or employees via their preferred channels. This sophisticated approach allows Agentforce to significantly enhance operational efficiency. By automating routine inquiries, it frees up your team to focus on more complex tasks, delivering a smoother experience for both staff and customers. Speed to Value One of Agentforce’s standout features is its emphasis on rapid implementation. Many AI projects can be resource-intensive and take months or even years to launch. However, Agentforce enables quick deployment by leveraging existing Salesforce infrastructure, allowing organizations to implement solutions rapidly and with greater control. Salesforce also offers pre-built Agentforce agents tailored to specific business needs—such as Service Agent, Sales Development Representative Agent, Sales Coach, Personal Shopper Agent, and Campaign Agent—all customizable with the Agent Builder. Agentforce for Service and Sales will be generally available starting October 25, 2024, with certain elements of the Atlas Reasoning Engine rolling out in February 2025. Pricing begins at $2 per conversation, with volume discounts available. Transforming Customer Insights with Data Cloud and Marketing Cloud Dreamforce also highlighted enhancements to Data Cloud, Salesforce’s backbone for all cloud products. The platform now supports processing unstructured data, which constitutes up to 90% of company data often overlooked by traditional reporting systems. With new capabilities for analyzing various unstructured formats—like video, audio, sales demos, customer service calls, and voicemails—businesses can derive valuable insights and make informed decisions across Customer 360. Furthermore, Data Cloud One enables organizations to connect siloed Salesforce instances effortlessly, promoting seamless data sharing through a no-code, point-and-click setup. The newly announced Marketing Cloud Advanced edition serves as the “big sister” to Marketing Cloud Growth, equipping larger marketing teams with enhanced features like Path Experiment, which tests different content strategies across channels, and Einstein Engagement Scoring for deeper insights into customer behavior. Together, these enhancements empower companies to engage customers more meaningfully and measurably across all touchpoints. Empowering the Workforce Through Education Salesforce is committed to making AI accessible for all. They recently announced free instructor-led courses and AI certifications available through 2025, aimed at equipping the Salesforce community with essential AI and data management skills. To support this initiative, Salesforce is establishing AI centers in major cities, starting with London, to provide hands-on training and resources, fostering AI expertise. They also launched a global Agentforce World Tour to promote understanding and adoption of the new capabilities introduced at Dreamforce, featuring repackaged sessions from the conference and opportunities for specialists to answer questions. The Bottom Line What does this mean for businesses? With the rollout of Agentforce, along with enhancements to Data Cloud and Marketing Cloud, organizations can operate more efficiently and connect with customers in more meaningful ways. Coupled with a focus on education through free courses and global outreach, getting on board has never been easier. If you’d like to discuss how we can help your business maximize its potential with Salesforce through data and AI, connect with us and schedule a meeting with our team. Legacy systems can create significant gaps between operations and employee needs, slowing lead processes and resulting in siloed, out-of-sync data that hampers business efficiency. Responding to inquiries within five minutes offers a 75% chance of converting leads into customers, emphasizing the need for rapid, effective marketing responses. Salesforce aims to help customers strengthen relationships, enhance productivity, and boost margins through its premier AI CRM for sales, service, marketing, and commerce, while also achieving these goals internally. Recognizing the complexity of its decade-old processes, including lead assignment across three systems and 2 million lines of custom code, Salesforce took on the role of “customer zero,” leveraging Data Cloud to create a unified view of customers known as the “Customer 360 Truth Profile.” This consolidation of disparate data laid the groundwork for enterprise-wide AI and automation, improving marketing automation and reducing lead time by 98%. As Michael Andrew, SVP of Marketing Decision Science at Salesforce, noted, this initiative enabled the company to provide high-quality leads to its sales team with enriched data and AI scoring while accelerating time to market and enhancing data quality. Embracing Customer Zero “Almost exactly a year ago, we set out with a beginner’s mind to transform our lead automation process with a solution that would send the best leads to the right sales teams within minutes of capturing their data and support us for the next decade,” said Andrew. The initial success metric was “speed to lead,” aiming to reduce the handoff time from 20 minutes to less than one minute. The focus was also on integrating customer and lead data to develop a more comprehensive 360-degree profile for each prospect, enhancing lead assignment and sales rep productivity. Another objective was to boost business agility by cutting the average time to implement assignment changes from four weeks to mere days. Accelerating Success with

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Salesforce Data Cloud and Zero Copy

Salesforce Data Cloud and Zero Copy

As organizations across industries gather increasing amounts of data from diverse sources, they face the challenge of making that data actionable and deriving real-time insights. With Salesforce Data Cloud and zero copy architecture, organizations can streamline access to data and build dynamic, real-time dashboards that drive value while embedding contextual insights into everyday workflows. A session during Dreamforce 2024 with Joanna McNurlen, Principal Solution Engineer for Data Cloud at Salesforce, discussed how zero copy architecture facilitates the creation of dashboards and workflows that provide near-instant insights, enabling quick decision-making to enhance operational efficiency and competitive advantage. What is zero copy architecture?Traditionally, organizations had to replicate data from one system to another, such as copying CRM data into a data warehouse for analysis. This approach introduces latency, increases storage costs, and often results in inconsistencies between systems. Zero copy architecture eliminates the need for replication and provides a single source of truth for your data. It allows different systems to access data in its original location without duplication across platforms. Instead of using traditional extract, transform, and load (ETL) processes, systems like Salesforce Data Cloud can connect directly with external databases, such as Google Cloud BigQuery, Snowflake, Databricks, or Amazon Redshift, for real-time data access. Zero copy can also facilitate data sharing from within Salesforce to other systems. As Salesforce expands its zero copy partner network, opportunities to easily connect data from various sources will continue to grow. How does zero copy work?Zero copy employs virtual tables that act as blueprints for the data structure, enabling queries to be executed as if the data were local. Changes made in the data warehouse are instantly visible across all connected systems, ensuring users always work with the latest information. While developing dashboards, users can connect directly to the zero copy objects within Data Cloud to create visualizations and reports on top of them. Why is zero copy beneficial?Zero copy allows organizations to analyze data as it is generated, enabling faster responses, smarter decision-making, and enhanced customer experiences. This architecture reduces reliance on data transformation workflows and synchronizations within both Tableau and CRM Analytics, where organizations have historically encountered bottlenecks due to runtimes and platform limits. Various teams can benefit from the following capabilities: Unlocking real-time insights in Salesforce using zero copy architectureZero copy architecture and real-time data are transforming how organizations operate. By eliminating data duplication and providing real-time insights, the use of zero copy in Salesforce Data Cloud empowers organizations to work more efficiently, make informed decisions, and enhance customer experiences. Now is the perfect time to explore how Salesforce Data Cloud and zero copy can elevate your operations. Tectonic, a trusted Salesforce partner, can help you unlock the potential of your data and create new opportunities with the Salesforce platform. Connect with us today to get started. 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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Transformative Potential of AI in Healthcare

Transformative Potential of AI in Healthcare

Healthcare leaders are increasingly optimistic about the transformative potential of AI and data analytics in the industry, according to a new market research report by Arcadia and The Harris Poll. The report, titled “The Healthcare CIO’s Role in the Age of AI,” reveals that 96% of healthcare executives believe AI adoption can provide a competitive edge, both now and in the future. While one-third of respondents see AI as essential today, 73% believe it will become critical within the next five years. How AI is Being Used in Healthcare The survey found that 63% of healthcare organizations are using AI to analyze large patient data sets, identifying trends and informing population health management. Additionally, 58% use AI to examine individual patient data to uncover opportunities for improving health outcomes. Nearly half of the respondents also reported using AI to optimize the management of electronic health records (EHRs). These findings align with a similar survey conducted by the University of Pittsburgh Medical Center’s Center for Connected Medicine (CCM), which highlighted AI as the most promising emerging technology in healthcare. The focus on AI stems from its ability to break down data silos and make use of the vast amount of clinical data healthcare organizations collect. “Healthcare leaders are preparing to harness AI’s full potential to reform care delivery,” said Aneesh Chopra, Arcadia’s chief strategy officer. “With secure data sharing scaling across the industry, technology leaders are focusing on platforms that can organize fragmented patient records into actionable insights throughout the patient journey.” Supporting Strategic Priorities with AI AI and data analytics are also seen as critical for maintaining competitiveness and resilience, particularly as organizations face digital transformation and financial challenges. In fact, 83% of respondents indicated that data-driven tools could help them stay ahead in these areas. Technology-related priorities, such as adopting an enterprise-wide approach to data analytics (44%) and enhancing decision-making through AI (41%), were top of mind for many healthcare leaders. Improving patient experience (40%), health outcomes (35%), and patient engagement (29%) were also highlighted as key strategic goals that AI could help achieve. Challenges in AI Adoption While most healthcare leaders are confident about adopting AI (96%), they also feel pressure to do so quickly, with the push primarily coming from data and analytics teams (82%), IT teams (78%), and executives (73%). One major obstacle is the lack of talent. Approximately 40% of respondents identified the shortage of skilled professionals as a top barrier to AI adoption. To address this, organizations are seeing increased demand for skills related to data analysis, machine learning, and systems integration. Additionally, 71% of IT leaders emphasized the growing need for data-driven decision-making skills. The Evolving Role of CIOs The rise of AI is reshaping the role of CIOs in healthcare. Nearly 87% of survey respondents see themselves as strategic influencers in setting and refining AI-related strategies, rather than just implementers. However, many CIOs feel constrained by the demands of day-to-day operations, with 58% reporting that tactical execution takes precedence over long-term AI strategy development. Leaders agree that to be effective, CIOs and their teams should focus more on strategic planning, dedicating around 75% of their time to developing and implementing AI strategies. Communication and workforce readiness are also crucial, with 75% of respondents citing poor communication between IT teams and clinical staff as a barrier to AI success, and 40% noting that clinical staff need more support to utilize data analytics effectively. “CIOs and their teams are setting the stage for an AI-driven transformation in healthcare,” said Michael Meucci, president and CEO of Arcadia. “The findings show that a robust data foundation and an evolving workforce are key to realizing AI’s full potential in patient care and healthcare operations.” Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more 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 Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

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Cross Cloud Zero-Copy Data

Cross Cloud Zero-Copy Data

Simplifying Secure Data Access Across Clouds In today’s data-driven world, secure and prompt access to information is crucial. However, with critical analytics data spread across various cloud vendors, achieving this expediency can be challenging. Cross-cloud zero-copy data sharing doesn’t have to be complex. By leveraging your Autonomous Database, you can swiftly establish secure data sharing with your Salesforce CRM Data Stream in just seconds. This guide will walk you through the straightforward process of connecting your Salesforce CRM data to your Autonomous Database using the Salesforce CRM data connector type. Requirements for Salesforce Integration To connect Salesforce CRM data with your Autonomous Database, you’ll need the following: 1. Confirm Data Stream Configuration On the Data Streams Dashboard, verify the Data Stream Name, Data Connector Type, and Data Stream Status. 2. Set Up Your Autonomous Database Create Your Credentials: sqlCopy codeBEGIN DBMS_CLOUD.CREATE_CREDENTIAL( credential_name => ‘<your credential name>’, username => ‘<your salesforce log-in id>’, password => ‘<your salesforce password>’); END; / Create Your Database Link: sqlCopy codeBEGIN DBMS_CLOUD_ADMIN.CREATE_DATABASE_LINK( db_link_name => ‘<your database link name>’, hostname => ‘<your host>.my.salesforce.com’, port => ‘19937’, service_name => ‘salesforce’, ssl_server_cert_dn => NULL, credential_name => ‘<your credential name>’, gateway_params => JSON_OBJECT( ‘db_type’ value ‘salesforce’, ‘security_token’ value ‘<your security token>’)); END; / 3. Check Connectivity Details The HETEROGENEOUS_CONNECTIVITY_INFO view provides information on credential and database link requirements for external databases. For example: sqlCopy codeSELECT database_type, required_port, sample_usage FROM heterogeneous_connectivity_info WHERE database_type = ‘salesforce’; 4. Demonstration: Connecting to Salesforce Data Follow these steps to connect to your Salesforce CRM organization using the Salesforce Data Cloud Sales synthetic data in the Account_Home Data Stream: 5. Set Up Connectivity Using DBMS_CLOUD.CREATE_CREDENTIAL, create the necessary credentials to connect to Salesforce. Then, use DBMS_CLOUD_ADMIN.CREATE_DATABASE_LINK to establish the database link. Once configured, execute the SELECT statement against the ACCOUNT data to verify successful connection. 6. Utilize Zero-Copy Data Sharing With zero-copy data access to the Salesforce CRM Data Lake ACCOUNT object, you can: Conclusion As demonstrated, secure and efficient cross-cloud zero-copy data access can be straightforward. By following these simple steps, you can bypass cumbersome ETL operations and gain immediate, secure access to your Salesforce CRM data. This approach eliminates the overhead of complex data pipelines and provides you with real-time access to critical business data. 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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Challenges for Rural Healthcare Providers

Challenges for Rural Healthcare Providers

Rural healthcare providers have long grappled with challenges due to their geographic isolation and limited financial resources. The advent of digital health transformation, however, has introduced a new set of IT-related obstacles for these providers. EHR Adoption and New IT Challenges While federal legislation has successfully promoted Electronic Health Record (EHR) adoption across both rural and urban healthcare organizations, implementing an EHR system is only one component of a comprehensive health IT strategy. Rural healthcare facilities encounter numerous IT barriers, including inadequate infrastructure, interoperability issues, constrained resources, workforce shortages, and data security concerns. Limited Broadband Access Broadband connectivity is essential for leveraging health IT effectively. However, there is a significant disparity in broadband access between rural and urban areas. According to a Federal Communications Commission (FCC) report, approximately 96% of the U.S. population had access to broadband at the FCC’s minimum speed benchmark in 2019, compared to just 73.6% of rural Americans. The lack of broadband infrastructure hampers rural organizations’ ability to utilize IT features that enhance care delivery, such as electronic health information exchange (HIE) and virtual care. Rural facilities, in particular, rely heavily on HIE and telehealth to bridge gaps in their services. For instance, HIE facilitates data sharing between smaller ambulatory centers and larger academic medical centers, while telehealth allows rural clinicians to consult with specialists in urban centers. Additionally, telehealth can help patients in rural areas avoid long travel distances for care. However, without adequate broadband access, these services remain impractical. Despite persistent disparities, the rural-urban broadband gap has narrowed in recent years. Data from the FCC indicates that since 2016, the number of people in rural areas without access to 25/3 Mbps service has decreased by more than 46%. Various programs, including the FCC’s Rural Health Care Program and USDA funding initiatives, aim to expand broadband access in rural regions. Interoperability Challenges While HIE adoption is rising nationally, rural healthcare organizations lag behind their urban counterparts in terms of interoperability capabilities, as noted in a 2023 GAO report. Data from a 2021 American Hospital Association survey revealed that rural hospitals are less likely to engage in national or regional HIE networks compared to medium and large hospitals. Rural providers often lack the economic and technological resources to participate in electronic HIE networks, leading them to rely on manual data exchange methods such as fax or mail. Additionally, rural providers are less likely to join EHR vendor networks for data exchange, partly due to the fact that they often use different systems from those in other local settings, complicating health data exchange. Federal initiatives like TEFCA aim to improve interoperability through a network of networks approach, allowing organizations to connect to multiple HIEs through a single connection. However, TEFCA’s voluntary participation model and persistent barriers such as IT staffing shortages and broadband gaps still pose challenges for rural providers. Financial Constraints Rural hospitals often operate with slim profit margins due to lower patient volumes and higher rates of uninsured or underinsured patients. The financial strain is exacerbated by declining Medicare and Medicaid reimbursements. According to KFF, the median operating margin for rural hospitals was 1.5% in 2019, compared to 5.2% for other hospitals. With limited budgets, rural healthcare organizations struggle to invest in advanced health IT systems and the necessary training and maintenance. Many small rural hospitals are turning to cloud-based EHR platforms as a cost-effective solution. Cloud-based EHRs reduce the need for substantial upfront hardware investments and offer monthly subscription fees, some as low as $100 per month. Workforce Challenges The healthcare sector is facing widespread staff shortages, including a lack of skilled health IT professionals. Rural areas are disproportionately affected by these shortages. An insufficient number of IT specialists can impede the adoption and effective use of health IT in these regions. To address workforce gaps, the ONC suggests strategies such as cross-training multiple staff members in health IT functions and offering additional training opportunities. Some networks, like OCHIN, have secured grants to develop workforce programs, but limited broadband access can hinder participation in virtual training programs, highlighting the need for expanded broadband infrastructure. Data Security Concerns Healthcare data breaches have surged, with a 256% increase in large breaches reported to the Office for Civil Rights (OCR) over the past five years. Rural healthcare organizations, often operating with constrained budgets, may lack the resources and staff to implement robust data security measures, leaving them vulnerable to cyber threats. A cyberattack on a rural healthcare organization can disrupt patient care, as patients may need to travel significant distances to reach alternative facilities. To address cybersecurity challenges, recent legislative efforts like the Rural Hospital Cybersecurity Enhancement Act aim to develop comprehensive strategies for rural hospital cybersecurity and provide educational resources for staff training. In the interim, rural healthcare organizations can use free resources such as the Health Industry Cybersecurity Practices (HICP) publication to guide their cybersecurity strategies, including recommendations for managing vulnerabilities and protecting email systems. Does your practice need help meeting these challenges? 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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Salesforce and the Connected Car

Salesforce and the Connected Car

The concept of the Connected Car has been a topic of discussion for years, often accompanied by ambitious predictions from consultants about its market potential. For example, McKinsey in 2021 projected that by 2030, Connected Cars would constitute 95% of all vehicles on the road. Central to the success of these vehicles is data, with each one generating approximately 25 GB of data per hour. That’s a lot of data. Like a whole truckload of data! Salesforce and the Connected Car is uniquely a perfect fit. However, this raises two critical questions. First, do consumers actually understand what a Connected Car is? Second, if they do, are they comfortable sharing their personal data with automakers to enhance their driving experience? In January, Salesforce conducted a study of 2,188 car owners in the U.S., revealing some unsettling insights. A significant portion of drivers—over two-thirds (65%)—are unfamiliar with the concept of a Connected Car. Even more telling, over a third (37%) had never heard the term before. As of now, two-thirds of respondents either don’t have connected features in their cars or are not using them if they do. This includes features like Apple CarPlay and others. Personally, while shopping for a car I look for all those connected bells and whistles. On the flip side, this presents a considerable opportunity for automakers. According to Salesforce’s data, drivers expressed a willingness to pay a premium for advanced features, such as driver assistance, touchscreens, and smartphone integration. When it comes to sharing personal data, however, there’s still work to be done. While over half of respondents (54%) are comfortable with cars collecting data on vehicle diagnostics or seatbelt usage (35%), fewer are okay with data collection on driving speed (34%) or route history (31%). The discomfort grows when it comes to more sensitive data like voice recordings (17%), biometrics (13%), or text messages (12%). There are incentives that could encourage data sharing. For example, over two-thirds of respondents (67%) would be willing to exchange personal data for better insurance rates. Other incentives include advanced driver personalization (43%), such as customized seat and mirror settings, and enhanced personal safety features like real-time health monitoring (36%). Introducing Salesforce Connected Vehicle Salesforce for the Automotive IndustryIn response to these trends, Salesforce has introduced Connected Vehicle, a new application within the Automotive Cloud, alongside new partnerships with Qualcomm and AWS. These innovations aim to help automakers create the cars of the future. According to Salesforce: With a single console and a ready-to-use set of industry-specific, low-code/no-code development tools, Connected Vehicle helps automakers roll out new services and features to drivers faster. It enables bidirectional, over-the-air (OTA) capabilities for data sharing and software updates between the cloud and the vehicle via wireless or cellular networks. Key features for automakers include: Connected Vehicle is available today, with additional features like Connected Vehicle Summary, Interaction Summary, Warranty Summary, and Sales Agreement expected to be generally available in the fall. Why Now? The Connected Car has been around in some form since 2005, but according to Achyut Jajoo, SVP & GM of Automotive at Salesforce, connectivity is just the beginning. He explains: “One big challenge for automakers was that once a car left the factory, it was difficult to update its software or add new capabilities. The car was limited to the features it shipped with, unless you took it back to the dealership. But today, the fundamental architecture of these vehicles is changing. I often describe it as a phone on wheels. With standardized chips and modules, data can now be pushed to the cloud, allowing for real-time control and updates.” This shift means that once a vehicle leaves the factory, its performance and features can evolve over time. This “software-defined vehicle” revolution allows for continuous enhancements and the deployment of new capabilities that weren’t possible before. While connectivity is an essential piece, this software-driven approach is the real game changer. As for Salesforce’s role and its partnerships with AWS and Qualcomm, Jajoo says: “We are known for taking data and creating customer experiences. When we looked at the automotive market, we saw how complicated it is. We heard horror stories and realized that by partnering with other tech powerhouses, we could provide an end-to-end solution. This approach was shaped by our discussions with customers who said they struggled with these challenges and would love for us to collaborate.” Final Thought We may not be close to McKinsey’s 95% prediction quite yet, but the trajectory is clear. With data being central to success—and consumer trust in how that data is used—Salesforce’s collaboration with AWS and Qualcomm seems like a smart move. Apparently I am the ideal customer as I want my vehicle connected! By Tectonic’s Senior Consultant, Shannan Hearne 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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Salesforce Data Snowflake and You

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 Seamless Data IntegrationSnowflake’s cloud-native architecture lets you combine structured, semi-structured, and unstructured data effortlessly. Salesforce users can extend their data capabilities by integrating insights from external sources, such as web analytics, other CRMs, or real-time IoT data, all while keeping the setup simple. This provides a comprehensive view of each customer and enables faster, data-driven decisions. Scalability without ComplexitySnowflake is a fully managed, cloud-native platform that scales to meet your growing data needs without heavy infrastructure demands. This allows Salesforce users to expand their data strategy without altering their CRM setup or adding IT resources. Advanced Analytics and AI/ML ReadinessFrom predictive lead scoring to customer churn analysis, Snowflake supports AI and machine learning workloads, enabling Salesforce users to develop models that deliver actionable insights. By unifying data across platforms, Snowflake allows for more accurate and robust AI/ML models, driving smarter decisions across areas like customer support and product recommendations. 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. 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