Cost Efficiency Archives - gettectonic.com

Outsourced Salesforce Admin

Maximizing Business Potential with Outsourced Salesforce Admin Services Salesforce is an indispensable tool for managing customer relationships, streamlining operations, and driving growth. However, fully leveraging Salesforce’s capabilities requires skilled management, regular maintenance, and continuous updates. While some businesses prefer in-house management, outsourcing Salesforce admin services has emerged as a strategic option offering numerous advantages, including cost savings, access to specialized expertise, and improved system performance. This allows businesses to focus on core priorities. Key Benefits of Outsourcing Salesforce Admin Services 1. Access to Specialized Expertise Salesforce’s vast features and capabilities demand a deep understanding of its tools, integrations, and customizations. Outsourcing provides access to professionals with industry-specific expertise and up-to-date knowledge of Salesforce advancements. These experts ensure system optimization by implementing advanced features, automating workflows, and customizing dashboards, minimizing downtime, resolving issues efficiently, and improving overall system reliability. 2. Scalability and Flexibility Business needs evolve over time, and so do Salesforce requirements. Outsourced teams offer scalability and adaptability, making it easy to adjust services during periods of growth, mergers, system upgrades, or market expansion. This flexibility ensures businesses can meet their changing needs without disrupting operations. 3. Cost Efficiency and Resource Optimization Hiring and training in-house Salesforce administrators can be expensive. Outsourcing eliminates these costs by providing access to top-tier talent without the overhead of full-time employees. Moreover, outsourcing allows internal teams to focus on strategic initiatives rather than day-to-day Salesforce management, maximizing productivity. 4. Enhanced Security and Compliance Protecting sensitive data and ensuring regulatory compliance is critical, especially in highly regulated industries. Outsourced Salesforce administrators bring extensive experience in implementing robust security measures, conducting regular audits, and mitigating vulnerabilities. Their proactive approach ensures data integrity and minimizes risks. 5. Improved Operational Efficiency Outsourcing ensures routine maintenance, performance monitoring, and data cleansing are consistently handled, reducing errors and improving system performance. Outsourced teams also use advanced tools to identify inefficiencies and recommend optimizations, creating streamlined workflows and resource utilization. 6. Quick Issue Resolution Experienced outsourced admins can diagnose and resolve technical issues promptly, minimizing disruptions. Their expertise and access to dedicated support channels ensure faster problem resolution, enabling businesses to maintain productivity and meet customer expectations. 7. Strategic Guidance and Insights Beyond daily management, outsourced professionals provide valuable strategic insights based on their cross-industry experience. From identifying automation opportunities to recommending data-driven strategies, they help businesses leverage Salesforce to achieve long-term objectives and foster innovation. 8. Tailored Customization and Integration Salesforce’s customization potential is vast, but it requires expertise to align the system with business goals effectively. Outsourcing ensures seamless integration and customization, whether through unique workflows, custom applications, or third-party tools. This tailored approach maximizes ROI and ensures Salesforce evolves with the organization. 9. Continuity Despite Employee Turnover Employee turnover in in-house teams can disrupt Salesforce management. Outsourced providers ensure continuity through established processes and teams, minimizing downtime and reducing the burden on internal staff. 10. Focus on Core Competencies Outsourcing Salesforce management allows internal teams to focus on innovation, market expansion, and customer service, while experts handle Salesforce’s complexities. This alignment of resources drives long-term success. 11. Access to Advanced Tools and Technologies Outsourced teams leverage advanced tools for data accuracy, performance insights, and productivity enhancements. These technologies improve system usability and allow businesses to stay competitive. 12. Knowledge Updates and Ongoing Training Salesforce evolves continuously, requiring admins to stay updated with new features and industry trends. Outsourced professionals invest in ongoing training and certifications, ensuring businesses benefit from the latest advancements without dedicating internal resources to training. 13. Time-Zone Benefits and 24/7 Support For global businesses, outsourced teams provide round-the-clock support to address technical issues promptly, regardless of time zones. Maintenance tasks can also be scheduled during non-business hours, minimizing disruptions and enhancing efficiency. Conclusion Outsourcing Salesforce admin services is a strategic investment for businesses aiming to enhance performance, drive growth, and streamline operations. By leveraging the expertise of skilled professionals, businesses can benefit from seamless system management, tailored customizations, and proactive support while reducing costs and resource demands. For organizations seeking to stay competitive in today’s dynamicmarketplace, outsourcing Salesforce admin services is not just a convenience but a strategic move toward achieving long-term success. By leaving Salesforce management to the experts, businesses can focus on their core goals and drive innovation. 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

Read More
No-Code Generative AI

No-Code Generative AI

The future of AI belongs to everyone, and no-code platforms are the key to making this vision a reality. By embracing this approach, enterprises can ensure that AI-driven innovation is inclusive, efficient, and transformative.

Read More
Standards in Healthcare Cybersecurity

Deploying Large Language Models in Healthcare

Study Identifies Cost-Effective Strategies for Deploying Large Language Models in Healthcare Efficient deployment of large language models (LLMs) at scale in healthcare can streamline clinical workflows and reduce costs by up to 17 times without compromising reliability, according to a study published in NPJ Digital Medicine by researchers at the Icahn School of Medicine at Mount Sinai. The research highlights the potential of LLMs to enhance clinical operations while addressing the financial and computational hurdles healthcare organizations face in scaling these technologies. To investigate solutions, the team evaluated 10 LLMs of varying sizes and capacities using real-world patient data. The models were tested on chained queries and increasingly complex clinical notes, with outputs assessed for accuracy, formatting quality, and adherence to clinical instructions. “Our study was driven by the need to identify practical ways to cut costs while maintaining performance, enabling health systems to confidently adopt LLMs at scale,” said Dr. Eyal Klang, director of the Generative AI Research Program at Icahn Mount Sinai. “We aimed to stress-test these models, evaluating their ability to manage multiple tasks simultaneously and identifying strategies to balance performance and affordability.” The team conducted over 300,000 experiments, finding that high-capacity models like Meta’s Llama-3-70B and GPT-4 Turbo 128k performed best, maintaining high accuracy and low failure rates. However, performance began to degrade as task volume and complexity increased, particularly beyond 50 tasks involving large prompts. The study further revealed that grouping tasks—such as identifying patients for preventive screenings, analyzing medication safety, and matching patients for clinical trials—enabled LLMs to handle up to 50 simultaneous tasks without significant accuracy loss. This strategy also led to dramatic cost savings, with API costs reduced by up to 17-fold, offering a pathway for health systems to save millions annually. “Understanding where these models reach their cognitive limits is critical for ensuring reliability and operational stability,” said Dr. Girish N. Nadkarni, co-senior author and director of The Charles Bronfman Institute of Personalized Medicine. “Our findings pave the way for the integration of generative AI in hospitals while accounting for real-world constraints.” Beyond cost efficiency, the study underscores the potential of LLMs to automate key tasks, conserve resources, and free up healthcare providers to focus more on patient care. “This research highlights how AI can transform healthcare operations. Grouping tasks not only cuts costs but also optimizes resources that can be redirected toward improving patient outcomes,” said Dr. David L. Reich, co-author and chief clinical officer of the Mount Sinai Health System. The research team plans to explore how LLMs perform in live clinical environments and assess emerging models to determine whether advancements in AI technology can expand their cognitive thresholds. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more 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 Alphabet Soup of Cloud Terminology As with any technology, the cloud brings its own alphabet soup of terms. This insight will hopefully help you navigate Read more

Read More
Google’s Gemini 1.5 Flash-8B

Google’s Gemini 1.5 Flash-8B

Google’s Gemini 1.5 Flash-8B: A Game-Changer in Speed and Affordability Google’s latest AI model, Gemini 1.5 Flash-8B, has taken the spotlight as the company’s fastest and most cost-effective offering to date. Building on the foundation of the original Flash model, 8B introduces key upgrades in pricing, speed, and rate limits, signaling Google’s intent to dominate the affordable AI model market. What Sets Gemini 1.5 Flash-8B Apart? Google has implemented several enhancements to this lightweight model, informed by “developer feedback and testing the limits of what’s possible,” as highlighted in their announcement. These updates focus on three major areas: 1. Unprecedented Price Reduction The cost of using Flash-8B has been slashed in half compared to its predecessor, making it the most budget-friendly model in its class. This dramatic price drop solidifies Flash-8B as a leading choice for developers seeking an affordable yet reliable AI solution. 2. Enhanced Speed The Flash-8B model is 40% faster than its closest competitor, GPT-4o, according to data from Artificial Analysis. This improvement underscores Google’s focus on speed as a critical feature for developers. Whether working in AI Studio or using the Gemini API, users will notice shorter response times and smoother interactions. 3. Increased Rate Limits Flash-8B doubles the rate limits of its predecessor, allowing for 4,000 requests per minute. This improvement ensures developers and users can handle higher volumes of smaller, faster tasks without bottlenecks, enhancing efficiency in real-time applications. Accessing Flash-8B You can start using Flash-8B today through Google AI Studio or via the Gemini API. AI Studio provides a free testing environment, making it a great starting point before transitioning to API integration for larger-scale projects. Comparing Flash-8B to Other Gemini Models Flash-8B positions itself as a faster, cheaper alternative to high-performance models like Gemini 1.5 Pro. While it doesn’t outperform the Pro model across all benchmarks, it excels in cost efficiency and speed, making it ideal for tasks requiring rapid processing at scale. In benchmark evaluations, Flash-8B surpasses the base Flash model in four key areas, with only marginal decreases in other metrics. For developers prioritizing speed and affordability, Flash-8B offers a compelling balance between performance and cost. Why Flash-8B Matters Gemini 1.5 Flash-8B highlights Google’s commitment to providing accessible AI solutions for developers without compromising on quality. With its reduced costs, faster response times, and higher request limits, Flash-8B is poised to redefine expectations for lightweight AI models, catering to a broad spectrum of applications while maintaining an edge in affordability. 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

Read More
Generative AI Energy Consumption Rises

Generative AI Energy Consumption Rises

Generative AI Energy Consumption Rises, but Impact on ROI Unclear The energy costs associated with generative AI (GenAI) are often overlooked in enterprise financial planning. However, industry experts suggest that IT leaders should account for the power consumption that comes with adopting this technology. When building a business case for generative AI, some costs are evident, like large language model (LLM) fees and SaaS subscriptions. Other costs, such as preparing data, upgrading cloud infrastructure, and managing organizational changes, are less visible but significant. Generative AI Energy Consumption Rises One often overlooked cost is the energy consumption of generative AI. Training LLMs and responding to user requests—whether answering questions or generating images—demands considerable computing power. These tasks generate heat and necessitate sophisticated cooling systems in data centers, which, in turn, consume additional energy. Despite this, most enterprises have not focused on the energy requirements of GenAI. However, the issue is gaining more attention at a broader level. The International Energy Agency (IEA), for instance, has forecasted that electricity consumption from data centers, AI, and cryptocurrency could double by 2026. By that time, data centers’ electricity use could exceed 1,000 terawatt-hours, equivalent to Japan’s total electricity consumption. Goldman Sachs also flagged the growing energy demand, attributing it partly to AI. The firm projects that global data center electricity use could more than double by 2030, fueled by AI and other factors. ROI Implications of Energy Costs The extent to which rising energy consumption will affect GenAI’s return on investment (ROI) remains unclear. For now, the perceived benefits of GenAI seem to outweigh concerns about energy costs. Most businesses have not been directly impacted, as these costs tend to affect hyperscalers more. For instance, Google reported a 13% increase in greenhouse gas emissions in 2023, largely due to AI-related energy demands in its data centers. Scott Likens, PwC’s global chief AI engineering officer, noted that while energy consumption isn’t a barrier to adoption, it should still be factored into long-term strategies. “You don’t take it for granted. There’s a cost somewhere for the enterprise,” he said. Energy Costs: Hidden but Present Although energy expenses may not appear on an enterprise’s invoice, they are still present. Generative AI’s energy consumption is tied to both model training and inference—each time a user makes a query, the system expends energy to generate a response. While the energy used for individual queries is minor, the cumulative effect across millions of users can add up. How these costs are passed to customers is somewhat opaque. Licensing fees for enterprise versions of GenAI products likely include energy costs, spread across the user base. According to PwC’s Likens, the costs associated with training models are shared among many users, reducing the burden on individual enterprises. On the inference side, GenAI vendors charge for tokens, which correspond to computational power. Although increased token usage signals higher energy consumption, the financial impact on enterprises has so far been minimal, especially as token costs have decreased. This may be similar to buying an EV to save on gas but spending hundreds and losing hours at charging stations. Energy as an Indirect Concern While energy costs haven’t been top-of-mind for GenAI adopters, they could indirectly address the issue by focusing on other deployment challenges, such as reducing latency and improving cost efficiency. Newer models, such as OpenAI’s GPT-4o mini, are more economical and have helped organizations scale GenAI without prohibitive costs. Organizations may also use smaller, fine-tuned models to decrease latency and energy consumption. By adopting multimodel approaches, enterprises can choose models based on the complexity of a task, optimizing for both speed and energy efficiency. The Data Center Dilemma As enterprises consider GenAI’s energy demands, data centers face the challenge head-on, investing in more sophisticated cooling systems to handle the heat generated by AI workloads. According to the Dell’Oro Group, the data center physical infrastructure market grew in the second quarter of 2024, signaling the start of the “AI growth cycle” for infrastructure sales, particularly thermal management systems. Liquid cooling, more efficient than air cooling, is gaining traction as a way to manage the heat from high-performance computing. This method is expected to see rapid growth in the coming years as demand for AI workloads continues to increase. Nuclear Power and AI Energy Demands To meet AI’s growing energy demands, some hyperscalers are exploring nuclear energy for their data centers. AWS, Google, and Microsoft are among the companies exploring this option, with AWS acquiring a nuclear-powered data center campus earlier this year. Nuclear power could help these tech giants keep pace with AI’s energy requirements while also meeting sustainability goals. I don’t know. It seems like if you akin AI accessibility to more nuclear power plants you would lose a lot of fans. As GenAI continues to evolve, both energy costs and efficiency are likely to play a greater role in decision-making. PwC has already begun including carbon impact as part of its GenAI value framework, which assesses the full scope of generative AI deployments. “The cost of carbon is in there, so we shouldn’t ignore it,” Likens said. Generative AI Energy Consumption Rises 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

Read More
GPUs and AI Development

GPUs and AI Development

Graphics processing units (GPUs) have become widely recognized due to their growing role in AI development. However, a lesser-known but critical technology is also gaining attention: high-bandwidth memory (HBM). HBM is a high-density memory designed to overcome bottlenecks and maximize data transfer speeds between storage and processors. AI chipmakers like Nvidia rely on HBM for its superior bandwidth and energy efficiency. Its placement next to the GPU’s processor chip gives it a performance edge over traditional server RAM, which resides between storage and the processing unit. HBM’s ability to consume less power makes it ideal for AI model training, which demands significant energy resources. However, as the AI landscape transitions from model training to AI inferencing, HBM’s widespread adoption may slow. According to Gartner’s 2023 forecast, the use of accelerator chips incorporating HBM for AI model training is expected to decline from 65% in 2022 to 30% by 2027, as inferencing becomes more cost-effective with traditional technologies. How HBM Differs from Other Memory HBM shares similarities with other memory technologies, such as graphics double data rate (GDDR), in delivering high bandwidth for graphics-intensive tasks. But HBM stands out due to its unique positioning. Unlike GDDR, which sits on the printed circuit board of the GPU, HBM is placed directly beside the processor, enhancing speed by reducing signal delays caused by longer interconnections. This proximity, combined with its stacked DRAM architecture, boosts performance compared to GDDR’s side-by-side chip design. However, this stacked approach adds complexity. HBM relies on through-silicon via (TSV), a process that connects DRAM chips using electrical wires drilled through them, requiring larger die sizes and increasing production costs. According to analysts, this makes HBM more expensive and less efficient to manufacture than server DRAM, leading to higher yield losses during production. AI’s Demand for HBM Despite its manufacturing challenges, demand for HBM is surging due to its importance in AI model training. Major suppliers like SK Hynix, Samsung, and Micron have expanded production to meet this demand, with Micron reporting that its HBM is sold out through 2025. In fact, TrendForce predicts that HBM will contribute to record revenues for the memory industry in 2025. The high demand for GPUs, especially from Nvidia, drives the need for HBM as AI companies focus on accelerating model training. Hyperscalers, looking to monetize AI, are investing heavily in HBM to speed up the process. HBM’s Future in AI While HBM has proven essential for AI training, its future may be uncertain as the focus shifts to AI inferencing, which requires less intensive memory resources. As inferencing becomes more prevalent, companies may opt for more affordable and widely available memory solutions. Experts also see HBM following the same trajectory as other memory technologies, with continuous efforts to increase bandwidth and density. The next generation, HBM3E, is already in production, with HBM4 planned for release in 2026, promising even higher speeds. Ultimately, the adoption of HBM will depend on market demand, especially from hyperscalers. If AI continues to push the limits of GPU performance, HBM could remain a critical component. However, if businesses prioritize cost efficiency over peak performance, HBM’s growth may level off. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more 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 Alphabet Soup of Cloud Terminology As with any technology, the cloud brings its own alphabet soup of terms. This insight will hopefully help you navigate Read more

Read More
Healthcare Cloud Computing

Healthcare Cloud Computing

Cloud Computing in Healthcare: Ensuring HIPAA Compliance Amid Growing Adoption As healthcare organizations increasingly turn to cloud computing for scalable and accessible IT services, ensuring HIPAA compliance remains a top priority. The global healthcare cloud computing market is projected to grow from $53.8 billion in 2024 to $120.6 billion by 2029, according to a MarketsandMarkets report. A 2023 Forrester report also highlighted that healthcare organizations are spending an average of .5 million annually on cloud services, with public cloud adoption on the rise. While cloud computing offers benefits like enhanced data mobility and cost efficiency, maintaining a HIPAA-compliant relationship with cloud service providers (CSPs) requires careful attention to regulations, establishing business associate agreements (BAAs), and proactively addressing cloud security risks. Understanding HIPAA’s Role in Cloud Computing The National Institute of Standards and Technology (NIST) defines cloud computing as a model that provides on-demand access to shared computing resources. Based on this framework, the U.S. Department of Health and Human Services (HHS) Office for Civil Rights (OCR) has issued guidance on how HIPAA’s Security, Privacy, and Breach Notification Rules apply to cloud computing. Under the HIPAA Security Rule, CSPs classified as business associates must adhere to specific standards for safeguarding protected health information (PHI). This includes mitigating the risks of unauthorized access to administrative tools and implementing internal controls to restrict access to critical operations like storage and memory. HIPAA’s Privacy Rule further restricts the use or disclosure of PHI by CSPs, even in cases where they offer “no-view services.” CSPs cannot block a covered entity’s access to PHI, even in the event of a payment dispute. Additionally, the Breach Notification Rule requires business associates, including CSPs, to promptly report any breach of unsecured PHI. Healthcare organizations engaging with CSPs should consult legal counsel and follow standard procedures for establishing HIPAA-compliant vendor relationships. The Importance of Business Associate Agreements (BAAs) A BAA is essential for ensuring that a CSP is contractually bound to comply with HIPAA. OCR emphasizes that when a covered entity engages a CSP to create, receive, or transmit electronic PHI (ePHI), the CSP becomes a business associate under HIPAA. Even if the CSP cannot access encrypted PHI, it is still classified as a business associate due to its involvement in storing and processing PHI. In 2016, the absence of a BAA led to a .7 million settlement between Oregon Health & Science University and OCR after the university stored the PHI of over 3,000 individuals on a cloud server without the required agreement. BAAs play a crucial role in defining the permitted uses of PHI and ensure that both the healthcare organization and CSP understand their responsibilities under HIPAA. They also outline protocols for breach notifications and security measures, ensuring both parties are aligned on handling potential security incidents. Key Cloud Security Considerations Despite the protections of a BAA, there are inherent risks in partnering with any new vendor. Staying informed on cloud security threats is vital for mitigating potential risks proactively. In a 2024 report, the Cloud Security Alliance (CSA) identified misconfiguration, inadequate change control, and identity management as the top threats to cloud computing. The report also pointed to the rising sophistication of cyberattacks, supply chain risks, and the proliferation of ransomware-as-a-service as growing concerns. By understanding these risks and establishing clear security policies with CSPs, healthcare organizations can better safeguard their data. Prioritizing security, establishing robust BAAs, and ensuring HIPAA compliance will allow healthcare organizations to fully leverage the advantages of cloud computing while maintaining the privacy and security of patient information. 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

Read More
Zero ETL

Zero ETL

What is Zero-ETL? Zero-ETL represents a transformative approach to data integration and analytics by bypassing the traditional ETL (Extract, Transform, Load) pipeline. Unlike conventional ETL processes, which involve extracting data from various sources, transforming it to fit specific formats, and then loading it into a data repository, Zero-ETL eliminates these steps. Instead, it enables direct querying and analysis of data from its original source, facilitating real-time insights without the need for intermediate data storage or extensive preprocessing. This innovative method simplifies data management, reducing latency and operational costs while enhancing the efficiency of data pipelines. As the demand for real-time analytics and the volume of data continue to grow, ZETL offers a more agile and effective solution for modern data needs. Challenges Addressed by Zero-ETL Benefits of ZETL Use Cases for ZETL In Summary ZETL transforms data management by directly querying and leveraging data in its original format, addressing many limitations of traditional ETL processes. It enhances data quality, streamlines analytics, and boosts productivity, making it a compelling choice for modern organizations facing increasing data complexity and volume. Embracing Zero-ETL can lead to more efficient data processes and faster, more actionable insights, positioning businesses for success in a data-driven world. Components of Zero-ETL ZETL involves various components and services tailored to specific analytics needs and resources: Advantages and Disadvantages of ZETL Comparison: Z-ETL vs. Traditional ETL Feature Zero-ETL Traditional ETL Data Virtualization Seamless data duplication through virtualization May face challenges with data virtualization due to discrete stages Data Quality Monitoring Automated approach may lead to quality issues Better monitoring due to discrete ETL stages Data Type Diversity Supports diverse data types with cloud-based data lakes Requires additional engineering for diverse data types Real-Time Deployment Near real-time analysis with minimal latency Batch processing limits real-time capabilities Cost and Maintenance More cost-effective with fewer components More expensive due to higher computational and engineering needs Scale Scales faster and more economically Scaling can be slow and costly Data Movement Minimal or no data movement required Requires data movement to the loading stage Comparison: Zero-ETL vs. Other Data Integration Techniques Top Zero-ETL Tools Conclusion Transitioning to Zero-ETL represents a significant advancement in data engineering. While it offers increased speed, enhanced security, and scalability, it also introduces new challenges, such as the need for updated skills and cloud dependency. Zero-ETL addresses the limitations of traditional ETL and provides a more agile, cost-effective, and efficient solution for modern data needs, reshaping the landscape of data management and analytics. 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

Read More
Healthcare Cloud Marketplace

Healthcare Cloud Marketplace

Healthcare Cloud Computing Market: A Comprehensive Overview and Future Outlook Vantage Market Research Report: Insights into Healthcare Cloud Computing by 2030 WASHINGTON, D.C., February 6, 2024 /EINPresswire.com/ — The global Healthcare Cloud Marketplace was valued at USD 38.25 billion in 2022 and is projected to grow at a compound annual growth rate (CAGR) of 18.2% from 2023 to 2030, reaching approximately USD 145.86 billion by 2030, according to Vantage Market Research. This technology allows healthcare organizations to utilize cloud-based services for data storage, management, and analysis, providing numerous benefits such as cost efficiency, scalability, flexibility, security, and interoperability. It enhances healthcare delivery by enabling seamless data access and sharing across various locations, devices, and networks. Additionally, cloud computing supports the integration of advanced technologies like artificial intelligence, big data analytics, telehealth, and mobile health, driving progress in disease diagnosis, treatment, and prevention. Market Dynamics The market’s growth is fueled by several key factors, including the increasing demand for healthcare IT solutions, the rising prevalence of chronic diseases, the widespread adoption of electronic health records (EHRs), and evolving payment models and regulatory frameworks. The exponential increase in healthcare data, encompassing patient records, imaging scans, and research findings, necessitates scalable storage and analysis solutions. Cloud computing meets this need by providing flexible and scalable infrastructure, accommodating data growth without overburdening IT systems. The rise of telehealth and remote patient monitoring further boosts the demand for secure, cloud-based platforms that facilitate efficient data exchange. However, stringent data privacy regulations like HIPAA and GDPR require robust security measures, compelling healthcare organizations to seek cloud providers that offer strong compliance and access controls. This need for a balance between agility and security shapes the healthcare cloud computing market’s future trajectory. Leading Companies in the Global Healthcare Cloud Computing Market Market Segmentation By Product: By Deployment: By Component: By Pricing Model: By Service Model: Key Trends and Opportunities The healthcare cloud computing market is witnessing significant trends, including the adoption of hybrid and multi-cloud models, which combine the benefits of both public and private clouds. The integration of artificial intelligence (AI) and machine learning (ML) into cloud-based healthcare applications is opening new avenues for personalized medicine, clinical decision support, and drug discovery. Moreover, blockchain technology is emerging as a solution to enhance data security and patient privacy, addressing critical industry concerns. Key Findings: Opportunities: Healthcare Cloud Marketplace The healthcare cloud computing market is poised for robust growth, driven by the increasing demand for scalable and secure data management solutions. As healthcare organizations navigate challenges related to data privacy and security, robust cloud solutions and supportive government policies will be essential in unlocking the full potential of cloud computing in healthcare. 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

Read More
Data Cloud Credits

Data Cloud Credits

Credits are the currency of usage in Salesforce Data Cloud, where every action performed consumes credits. The consumption rate varies based on the complexity and compute cost of the action, reflecting different platform features. Data Cloud Pricing Model The pricing model for Data Cloud consists of three primary components: Data Service Credits Each platform action incurs a specific compute cost. For instance, processes like connecting, ingesting, transforming, and harmonizing data all consume ‘data service credits’. These credits are further divided into categories such as connect, harmonize, and activate, each encompassing multiple services with differing consumption rates. Segment and Activation Credits Apart from data service credits, ‘segment and activation credits’ are consumed based on the number of rows processed when publishing and activating segments. Monitoring Consumption Currently, Data Cloud users must request a consumption report from their Salesforce Account Executive to review credit and storage usage. However, the new Digital Wallet feature in the Summer ’24 Release will provide users with real-time monitoring capabilities. This includes tracking credit and storage consumption trends by usage type directly within the platform. Considerations and Best Practices To optimize credit consumption and ensure efficient use of resources, consider the following best practices: Final Thoughts Credits are integral to Data Cloud’s pricing structure, reflecting usage across various platform activities. Proactive monitoring through the Digital Wallet feature enables users to manage credits effectively, ensuring optimal resource allocation and cost efficiency. Content updated June 2024. 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

Read More
Why Do We Use OmniStudio in Salesforce

Why Do We Use OmniStudio in Salesforce?

OmniStudio in Salesforce offers significant advantages over traditional custom code and Lightning Web Components (LWC), providing a low-code development platform that accelerates application development, simplifies maintenance, and reduces costs. Why Do We Use OmniStudio in Salesforce? OmniStudio enables Salesforce organizations to achieve the following: Moreover, OmniStudio facilitates integration with enterprise data and external applications, simplifying the incorporation of diverse data sources into Salesforce environments. OmniStudio Action in Salesforce refers to its capability to rapidly develop and deploy digital-first experiences tailored to specific industries and channels. It enhances Salesforce’s ecosystem by extending functionality through its suite of tools. Differences Between OmniStudio and Vlocity: OmniStudio is developed by Salesforce and serves as an integrated low-code development environment within Salesforce’s platform. In contrast, Vlocity was a separate company offering industry-specific cloud and mobile software solutions built on the Salesforce platform before its acquisition by Salesforce. Vlocity solutions were deeply integrated but maintained a distinct focus on specific industry needs. Differences Between LWC and OmniStudio: While LWC involves traditional coding for building applications, providing flexibility and control over customization, OmniStudio operates within a visual development environment that emphasizes rapid application development without extensive coding. OmniStudio thus prioritizes speed and ease of use over the granular control offered by LWC. Disadvantages of OmniStudio: While OmniStudio simplifies development and maintenance, organizations must carefully manage project architecture and component naming conventions to avoid complexity and ensure project clarity. Additionally, older component versions may become obsolete if not managed properly within Salesforce’s development lifecycle tools. In summary, OmniStudio in Salesforce represents a robust toolset for organizations seeking agile application development and enhanced digital experiences without the overhead of extensive custom coding. 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

Read More
Cloud Analytics

Cloud Analytics Explained

Understanding Cloud Analytics Cloud analytics refers to leveraging cloud computing resources to conduct data analysis more efficiently. It involves using advanced analytical tools to extract insights from vast datasets, presenting information in a user-friendly format accessible via web browsers. Core Concepts of Cloud Analytics Explained Cloud analytics shifts traditional data analytics operations, such as processing and storage, to public or private cloud environments. Similar to on-premises analytics, cloud solutions facilitate pattern identification, predictive modeling, and business intelligence (BI) insights. They leverage cloud technologies and algorithms, notably artificial intelligence (AI), including machine learning (ML) and deep learning (DL). Operational Framework of Cloud-Based Analytics Cloud analytics platforms offer capabilities to build, deploy, scale, and manage data analytics solutions in a cloud-based infrastructure. Examples include cloud enterprise data warehouses, data lakes, and on-demand BI and marketing analytics. Users can subscribe to services under flexible pricing models, alleviating concerns about scalability, performance, and maintenance. Types of Cloud Analytics Cloud-based analytics solutions vary by deployment model: Key Features and Benefits Cloud analytics offers several advantages: Applications and Use Cases Cloud analytics supports diverse applications, including: Comparing Cloud Analytics with Traditional Data Analytics Cloud analytics leverages cloud infrastructure for scalable and flexible data processing, contrasting with traditional analytics tools deployed on-premises. This shift enhances agility and accessibility while reducing operational complexities and costs. Why Cloud Analytics Matters Cloud analytics empowers organizations to harness actionable insights efficiently, driving informed decision-making and competitive advantage. It streamlines operations, fosters collaboration, and enhances data reliability and strategic planning capabilities. Adopting cloud-based analytics enables businesses to transform data into valuable intelligence, fueling innovation and growth. By leveraging cloud-based resources, organizations can achieve operational excellence, secure data-driven insights, and maintain a competitive edge in today’s dynamic business landscape. 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

Read More
Revolutionizing Public Sector Efficiency

Revolutionizing Public Sector Efficiency

Salesforce: Transforming and Revolutionizing Public Sector Efficiency Salesforce, known worldwide as the premier CRM solution, continues to innovate with its adaptable features tailored to diverse audiences. It excels in delivering cutting-edge solutions, addressing unique needs across various industries and sectors. Particularly, the public sector stands to gain substantial benefits from Salesforce’s capabilities, offering a suite of solutions poised to optimize operations within any public office setting. Understanding the Role of Salesforce in the Public Sector The public sector encompasses the administrative segment responsible for managing essential citizen concerns at state, local, federal, and governmental agency levels. While carrying out critical tasks, these entities can significantly enhance efficiency with the right tools. Salesforce is dedicated to optimizing and streamlining processes within the public sector, recognizing its vital importance. Government offices face similar expectations to private enterprises, with citizens anticipating service quality on par with commercial experiences. Therefore, public entities must deliver efficiency, agility, and direct engagement to demonstrate proximity to the populace. In response to these expectations, Salesforce has developed a range of solutions tailored to the specific demands of the public sector. Revolutionizing Public Sector Efficiency Salesforce’s offerings for the public sector include meticulously crafted applications designed to meet its unique requirements. These flexible and secure e-government tools aim to revolutionize the sector’s experience, providing a comprehensive view of citizens and enhancing the efficacy of public employees. By simplifying processes and fostering innovation, these solutions drive efficiency at both organizational and individual levels, facilitating smoother operations. Integrated into Public Sector Solutions, these offerings leverage Salesforce’s standard functionalities and Service Cloud capabilities. Additionally, they enable the creation of an Experience Cloud site, allowing citizens seamless access to government services. Known as a Citizen Portal. Some of the available solutions cater to general tasks managed by public sector agencies, including: Thanks to these solutions, citizens can effortlessly navigate various processes, such as applying for licenses or permits. Through an online portal accessible at all times, individuals can interact seamlessly with public service agencies. Intelligent forms dynamically adjust based on user input, simplifying the submission process. From an employee standpoint, work processes are streamlined, with all citizen requests conveniently consolidated in one location. The system offers recommendations to guide employees, simplifies task delegation, and ensures seamless collaboration across departments. Key Advantages of Salesforce Solutions for the Public Sector Salesforce solutions offer numerous advantages to the public sector, aligning with citizens’ and employees’ current demands. These include: Salesforce emerges as an invaluable ally in the public sector’s modernization journey, transforming processes to be more agile and efficient. For organizations seeking to implement Salesforce solutions tailored for the public sector, the Tectonic team stands ready to assist. In the ever-evolving landscape of public administration and government services, the need for advanced, secure, and user-friendly technology solutions has never been more crucial. Enter Salesforce Public Sector Cloud—a dynamic platform designed to transform how government agencies engage with citizens, deliver services, and drive efficiency in their operations. Overview of Salesforce Public Sector Cloud: Salesforce Public Sector Cloud is a specialized offering tailored to meet the unique needs of government entities at all levels. Whether it’s federal, state, or local government agencies, the platform is engineered to enhance collaboration, streamline processes, and ultimately improve the delivery of public services. Key Features and Capabilities: Real-World Impact: Several government agencies have already embraced Salesforce Public Sector Cloud, realizing tangible benefits in their day-to-day operations. From improved citizen satisfaction to streamlined internal processes, the impact of this cloud solution is evident across various use cases. Challenges and Considerations: While Salesforce Public Sector Cloud offers numerous advantages, it’s essential to consider potential challenges. These may include customization complexities, data migration issues, and the need for comprehensive training for government personnel. A thoughtful and well-executed implementation strategy is crucial to overcoming these challenges. Salesforce Introduces Public Sector Einstein 1 for Service: Salesforce today announced Public Sector Einstein 1 for Service, including CRM, trusted AI, and data capabilities. What’s new in compliance: Salesforce also now offers several Federal Risk and Authorization Management Program (FedRAMP) compliant tools to help government agencies drive efficiency and productivity while meeting regulatory requirements. These tools include:  Content updated April 2024. 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

Read More
abc

Alphabet Soup of Cloud Terminology

As with any technology, the cloud brings its own alphabet soup of terms. This insight will hopefully help you navigate your way through the terminology, and provide you the knowledge and power to make the decisions you need to make when considering a new cloud implementation. Here’s the list of terms we will cover in this article: Phew—that’s a lot. Let’s dig in to the definitions and examples to help drive home the meanings of the list of terms above. SaaS (Software as a Service) This is probably the most common implementation of cloud services end users experience. This is software that users access through their web browser. Some software may be installed locally to help augment functionality or provide a richer user experience, but the software installed locally has minimal impact on the user’s computer. Figure 1 provides a high-level overview of this concept. Figure 1 High-level overview of Software as a Service You are probably a user Facebook, Google docs, Office 365, Salesforce, or LinkedIn either at home or at work, so you’ve experienced SaaS first hand and probably for a long time. What SaaS tools are you using outside of those mentioned here? Reach out and let me know—I’m very curious. PaaS (Platform as a Service) PaaS allows a developer to deploy code to an environment that supports their software but they do not have full access to the operating system. In this case the developer has no server responsibility or server access. When I first started writing about cloud technology three years ago, this was kind of primitive service. The provider would just give you access to a folder somewhere on the server with just a bit of documentation and then you were on your own. Now there are tools, such as CloudFoundry, that allow a developer to deploy right from their Integrated Development Environment (IDE) or from a command line production release tool. Then CloudFoundry can take the transmitted release and install it correctly into the cloud environment. With a little trial and error, anyone with a bit of technical skills can deploy to a tool like CloudFoundry where the older style of PaaS took a lot of skill and experience to deploy correctly. IaaS (Infrastructure as a Service) Originally IaaS dealt with a provider giving a user access to a virtual machine located on a system in the provider’s data center. A virtual machine is an operating system that resides in a piece of software on the host computer. Virtual Box, Parallels and VMWare are examples of software that provide virtualization of operating systems called Virtual Machines (VM) Virtualization of servers was all the rage for a while, but when you try to scale within the cloud with multiple virtual servers there are a lot of drawbacks. First, it’s a lot of work to make VMs aware of each other and they don’t always share filesystems and resources easily. Plus, as your needs grow, VMs with a lot of memory and disk space are very expensive, and very often an application on a VM is only using a portion of the OS. For example, if you are deploying a tool that does data aggregation and runs as a service you won’t be taking advantage of the web server that might be running on server too. The issues mentioned in the previous paragraph are common headaches for those moving their on-premise implementations to the cloud, and those headaches gave rise to Docker. Docker is a lighter weight form of virtualization that allows for easier sharing of files, versioning, and configuration. Servers that could only host a few VMs can host thousands of Docker images, so providers get better bang for the buck for their server purchases. Further explanation of Docker is an article all by itself, but for now it’s import to realize that Docker needs to be part of any discussion of moving your applications to the cloud. DaaS (Desktop as a Service) Desktop computers are expensive for large corporations to implement and maintain. The cost of the OS, hardware, security software, productivity software, and more start to add up to where it makes a major impact on any corporation’s budget. Then just as they finish deploying new systems to everyone in the company, it’s time to start upgrading again because Microsoft just released a new OS. Another fact with most desktop computers is that they are heavily underutilized, and DaaS allows an IT department to dynamically allocate RAM and disk space based on user need. In addition backups and restores are a breeze in this environment, and if you are using a third party provider all you need to do is make a phone call when a restore of a file or desktop is needed. Plus upgrades to new operating systems are seamless because the DaaS provider takes care of them for you. The main advantage I see with DaaS is security. With one project I was involved with, we restored the state of each Desktop to a base configuration each night. While this did not affect user files, it did remove any malware that might have been accidently installed by a user clicking on the wrong email. Documents from Microsoft Office or Adobe products were scanned with a separate antivirus program residing on the storage system they were a part of, and the network appliance that we used did not allow for the execution of software. That made it very secure for the client I was working with. So what does a user have on their desktops? Luckily in recent years there has been an explosion of low cost computing devices, such as a Raspberry PI, that support Remote Desktop Protocol (RDP) so your users could access a windows desktop from the linux-based PI which you can get for a measely . DaaS is awesome for your average information worker, but for a power user like a software developer this setup in my experience doesn’t work well. Your average developer needs

Read More
gettectonic.com