Software Archives - gettectonic.com - Page 14
AI Drives Demand for Trusted Data

AI Drives Demand for Trusted Data

The demand for reliable data has long been emphasized due to the ongoing need for real-time personalization and increased business efficiencies. Generative AI is amplifying these requirements, prompting analytics and IT leaders to strengthen their data foundations. AI Drives Demand for Trusted Data and we are on the frontlines. A significant majority (86%) of analytics and IT leaders acknowledge that the effectiveness of AI outputs is contingent on the quality of data inputs. On a positive note, technical leaders express optimism about their current standing. More than one-third of analytics and IT leaders categorize their data maturity as best-in-class, considering factors such as data capabilities, processes, sponsorship, investment, and vision. However, only a small fraction (6%) describe their data maturity as below industry standard or nonexistent. This might indicate the challenge of benchmarking maturity against peers or, at worst, an overestimation of confidence in data strategy and capabilities. Despite generally favorable self-assessments by IT and analytics leaders, a significant majority of business leaders (94%) believe there is untapped potential in deriving more value from their data, signaling the need for improvement. To address this, analytics and IT leaders are prioritizing fundamental aspects such as data quality, enhanced security, and readiness for AI adoption. However, the path to achieving these goals is perceived as challenging. Generative AI represents a substantial leap beyond established technologies like predictive AI, and business leaders are enthusiastic about its potential. A vast majority (91%) consider generative AI to offer significant advantages, with compelling use-cases ranging from content creation to software development. Despite its relative novelty, generative AI is advancing rapidly, and more than three-quarters of business leaders express concerns about missing out on its benefits. In particular, marketing leaders are apprehensive that their companies are falling behind in fully harnessing generative AI in workflows, with 88% sharing this concern. 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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Big Data and Data Visualization

Big Data and Data Visualization Explained

Data Visualization: Turning Complex Data into Clear Insights Data visualization is the practice of converting information into visual formats, such as maps or graphs, to make data more accessible and understandable. The primary purpose of data visualization is to highlight patterns, trends, and outliers within large data sets, allowing users to quickly glean insights. The term is often used interchangeably with information graphics, information visualization, and statistical graphics. The Role of Data Visualization in Data Science Data visualization is a crucial step in the data science process. After data is collected, processed, and modeled, it must be visualized to draw meaningful conclusions. It’s also a key component of data presentation architecture, a discipline focused on efficiently identifying, manipulating, formatting, and delivering data. Importance Across Professions Data visualization is essential across various fields. Teachers use it to display student performance, computer scientists to explore AI advancements, and executives to communicate information to stakeholders. In big data projects, visualization tools are vital for quickly summarizing large datasets, helping businesses make informed decisions. In advanced analytics, visualization is equally important. Data scientists use it to monitor and ensure the accuracy of predictive models and machine learning algorithms. Visual representations of complex algorithms are often easier to interpret than numerical outputs. Historical Context of Data Visualization Data visualization has evolved significantly over the centuries, long before the advent of modern technology. Today, its importance is more pronounced, as it enables quick and effective communication of information in a universally understandable manner. Why Data Visualization Matters Data visualization provides a straightforward way to communicate information, regardless of the viewer’s expertise. This universality makes it easier for employees to make decisions based on visual insights. Visualization offers numerous benefits for businesses, including: Advantages of Data Visualization Key benefits include: Challenges and Disadvantages Despite its advantages, data visualization has some challenges: Data Visualization in the Era of Big Data With the rise of big data, visualization has become more critical. Companies leverage machine learning to analyze vast amounts of data, and visualization tools help present this data in a comprehensible way. Big data visualization often employs advanced techniques, such as heat maps and fever charts, beyond the standard pie charts and graphs. However, challenges remain, including: Examples of Data Visualization Techniques Early computer-based data visualizations often relied on Microsoft Excel to create tables, bar charts, or pie charts. Today, more advanced techniques include: Common Use Cases for Data Visualization Data visualization is widely used across various industries, including: The Science Behind Data Visualization The effectiveness of data visualization is rooted in how humans process information. Daniel Kahneman and Amos Tversky’s research identified two methods of information processing: Visualization Tools and Vendors Data visualization tools are widely used for business intelligence reporting. These tools generate interactive dashboards that track performance across key metrics. Users can manipulate these visualizations to explore data in greater depth, and indicators alert them to data updates or important events. Businesses might use visualization of data software to monitor marketing campaigns or track KPIs. As tools evolve, they increasingly serve as front ends for sophisticated big data environments, assisting data engineers and scientists in exploratory analysis. Popular data visualization tools include Domo, Klipfolio, Looker, Microsoft Power BI, Qlik Sense, Tableau, and Zoho Analytics. While Microsoft Excel remains widely used, newer tools offer more advanced capabilities. Data visualization is a vital subset of the broader field of data analytics, offering powerful tools for understanding and leveraging business data across all sectors. 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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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

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Salesforce Sales Cloud

Salesforce Sales Cloud GPT

What is Salesforce Sales Cloud GPT? Salesforce’s Einstein GPT is a robust AI tool that seamlessly integrates both public and private AI models with CRM data. This unique synergy allows users to articulate natural-language queries directly within the Salesforce CRM environment, resulting in continuously adapted AI-generated content tailored to evolving customer information and requirements. Salesforce Sales Cloud GPT The suite encompasses a suite of powerful Artificial Intelligence (AI) products, including the Einstein service, the workplace-messaging app Slack, and the data analysis software Tableau. Notably, it unveils a compelling array of natural language tools slated for release in 2023, such as Sales GPT for personalized emails, Service GPT for service messages and chatbots, and Marketing GPT for refined audience targeting. Furthermore, the AI Cloud is meticulously crafted to host extensive language models from various providers such as AWS, Anthropic, and Cohere. Salesforce’s commitment to AI startups is further underscored by a substantial $500 million injection into its venture capital fund. Impact on Sales Cloud with AI and EinsteinGPT: Sales Cloud undergoes a transformative impact through AI, notably EinsteinGPT. Anchored in principles of Trust, Security, and Privacy, Salesforce introduces the Einstein Trust Layer within its AI Cloud offering to assuage privacy concerns. This layer ensures adaptability and transparency while upholding stringent standards for data privacy, security, and compliance. EinsteinGPT for Sales Cloud emerges as a game-changing innovation, serving as a personalized assistant within Salesforce CRM to streamline sales processes. Leveraging Generative AI, it transcends mere data analysis by generating novel content, ideas, and approaches. Key features encompass Einstein GPT, Einstein Conversation Insights, and Einstein Relationship Insights. Industries Experience Tangible Impact: Salesforce’s substantial investments in AI are reshaping the landscape of sales and customer engagement. As EinsteinGPT becomes an integral part of the platform, the anticipation of new and innovative use cases signals a significant leap forward in AI accessibility. Tectonic is please to announce our Sales Cloud Implementation Solutions. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more 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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Race to AI for CX

AI emerges as a transformative force revolutionizing the customer experience (CX) landscape in the dynamic world of global e-commerce. Its ability to handle extensive data and facilitate large-scale automation empowers brands to offer tailored and seamless CX journeys, fostering customer loyalty and satisfaction. The great race to AI for CX is upon us. In the era of rapid technological advancements, organizations worldwide are in a race to integrate AI-driven capabilities across their operations. The widespread adoption of AI is fueled by its recognition not just as a technological advancement but as a strategic imperative. Businesses invest in AI to enhance operational productivity, reduce costs, elevate customer experiences, and maintain competitiveness. AI’s impact on customer experience extends to substantial improvements in Customer Relationship Management (CRM) systems. Automation of tasks like data entry, lead scoring, and follow-up reminders, coupled with intelligent insights such as predicting high-converting leads, empowers sales teams to optimize their efforts. Considering the pivotal role customers play for every business, CRM has become a launchpad for AI-led transformations throughout enterprises. Businesses swiftly integrate AI-powered experiences into sales, marketing, service, and e-commerce use cases. However, for AI investments to meet expectations, they must be built on robust data practices and trust. Data readiness, reflecting an organization’s preparedness to access and use quality data across its business, is crucial for successful AI outcomes. Ensuring trust in AI, free from data-security concerns or incorrect outcomes, is equally essential. Many companies, lacking mature data practices for advanced AI capabilities like generative AI (genAI), express significant trust concerns; nevertheless, the imperative to progress prompts continued AI investments. The deployment of AI-powered chatbots enables customer service teams to deliver convenient, 24/7 support. These chatbots, exemplified by Zendesk bots, operate round the clock, offering real-time assistance even when support agents are offline. Generative AI-powered conversational bots enhance customer self-service, reduce resolution times, and improve satisfaction by maintaining case-specific tonality and context in real time. Personalized marketing, beyond being a trend, has become a cornerstone strategy for businesses aiming to establish profound connections with their audiences. Crafting messages that resonate personally not only captures attention but also cultivates conversations and fosters lasting brand loyalty. In a digital age where user experience can make or break a brand, strategic partnerships become crucial. The race to AI for CX is on and you can’t afford to be left behind. Enhancing digital user experiences often requires collaboration with specialized partners. Regpack, a versatile payment and registration solution, exemplifies this approach by collaborating with Webeo, specialists in B2B website personalization. This partnership resulted in a 565% increase in site conversion, a 302% rise in average time spent on the site, and a significant 30% drop in bounce rates. Webeo’s personalization software enabled Regpack to identify and adapt to the diverse needs of its clientele through advanced behavioral personalization techniques. Race to AI for CX AI’s impact on marketing extends beyond being an add-on tool, serving as a fundamental game-changer for crafting bespoke customer experiences. AI seamlessly bridges the digital and physical realms, particularly in ecommerce and retail sectors, dynamically adapting products and content based on consumer behavior. AI-driven technologies interpret vast data points, allowing brands to offer hyper-personalized interactions. Real-time data analysis and pattern recognition capabilities make AI a powerful tool for creating engaging and emotionally resonant personalized experiences. In essence, AI architects a new era in marketing, where experiences are not merely personalized but dynamically respond to evolving consumer desires and expectations. Leveraging AI, brands can create narratives that consumers feel intrinsically part of, fostering profound connections. For instance, Calian IT & Cyber Solutions employs personalized marketing tactics to understand and address the unique challenges and needs of each business they serve, fostering strong, long-term relationships with clients. The key takeaway for marketers is clear – the era of generic messaging is fading. A more nuanced, data-driven, and empathetic approach is emerging. Brands that embrace this shift, continuously innovate, and create experiences that customers feel a part of will thrive. As technology advances and consumer expectations evolve, mastering the art of personalization becomes crucial to redefine the marketing landscape. Key Strategies for Exceptional Customer Experience with AI: AI and Customer Experience (CX): AI impacts the entire customer journey, from predictive and prescriptive analytics to sentiment analysis, journey mapping assistance, orchestration, dynamic pricing, virtual try-ons, and augmented reality, providing an interactive and engaging shopping experience. AI and Employee Experience (EX): Efficiencies introduced by AI in employee tasks directly benefit customers. When repetitive tasks are automated, employees gain time for critical and value-added tasks, leading to increased productivity, reduced workload, fewer errors, and improved job satisfaction. Delivering Exceptional Customer Experience with AI: As customer expectations evolve, AI offers a scalable approach for brands to exceed expectations, resulting in memorable customer experiences shaped by clear communication, seamless journeys, and engaging personalized interactions. The transformative potential of AI for CX success is evident in its ability to reshape the marketing landscape. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more 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 Einstein

Customize Forecast Insights

Tailor your forecasts page to align with your specific business requirements by leveraging Lightning App Builder. Craft bespoke forecasts pages that integrate all necessary information crucial for your sales leaders to generate precise forecasts tailored to your unique business demands. Construct pages comprising both standard and custom components meticulously tailored to complement your distinct sales processes. Customize Forecast Insights in Salesforce. For precise forecasting based on the Opportunity, Opportunity Product, or Line Item Schedule objects, utilize a custom number field as a measure. The forecasts grid provides insights into forecasts for individual months or quarters and offers flexibility in defining the range of months or quarters, catering to your preferences. While a default one-month forecast period is established, it can be adjusted as needed to suit your requirements. Forecast categories categorize opportunities within the sales cycle based on their respective opportunity stages. Standard forecast categories such as Pipeline, Best Case, Commit, Omitted (excluded from forecasts), and Closed are available. Salesforce administrators can further enhance forecasting capabilities by introducing a Most Likely category in Lightning Experience and renaming categories for both single category rollups and cumulative category rollup scenarios. Customize Forecast Insights to see the information most important. Different users can have different views. To modify forecast categories in Salesforce: Customize the presentation of standard and custom forecast columns on the forecasts page, allowing for tailored visualization. For instance, arrange a custom Most Likely column to be positioned alongside the Open Pipeline column. For adjusting forecasts in Salesforce: 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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Create a Salesforce Approval Process

Create a Salesforce Approval Process

Streamlining Your Salesforce Approval Process: Top Options Create a Salesforce Approval Process – an essential for tasks such as: This insight explores the top methods for implementing a Salesforce approval process in your organization. Option 1: Manually Send Opportunities Over Email or Slack The classic approach is manually sending approval requests via email or Slack, starting with a simple “Hey, can you approve this?” message. This method can be effective if the volume of requests is low. Pros: Cons: Many businesses using this method eventually seek more efficient systems to avoid cluttered inboxes and disorganized processes. Option 2: Use a Google Sheet Another option is to manage the approval process through a Google Sheet. Sales reps and managers add new deal information to the sheet, which acts as a central repository for tracking approval statuses without email chains. Pros: Cons: The manual nature of this method often leads to abandonment, as it can slow down the sales workflow and burden reps with administrative tasks. Option 3: Salesforce Approvals Salesforce offers native approval functions, allowing users to create approval processes involving various stakeholders. Approvals can be managed via email or directly within Salesforce. Pros: Cons: While Salesforce Approvals improve upon manual methods, they still have limitations in notifying stakeholders and tracking responses efficiently. Option 4: Use Rattle Rattle is an automation tool that integrates Salesforce with Slack to streamline the approval process. Custom Slack alerts trigger when deal information in Salesforce changes, notifying sales managers of approval needs. Pros: Cons: Rattle offers a blend of accountability and speed, enabling sales reps to focus on clients while managers receive timely approval notifications and can make decisions quickly. Choosing the Best Option Now that we’ve reviewed several methods for implementing a Salesforce approval process, it’s time to determine the best fit for your organization. Consider the following steps: By selecting a dynamic approval process tailored to your needs, you’ll free up your sales team to focus on bringing in and closing more deals, enhancing overall productivity and efficiency. 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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What is Health Cloud

What is Health Cloud?

Salesforce Health Cloud, a specialized platform designed for healthcare organizations, aims to streamline operations and provide personalized care. By leveraging cloud technology, mobile capabilities, and social integration, Health Care Cloud enhances productivity, reduces costs, and offers a comprehensive view of patient data. Salesforce keeps electronic personal health information (ephi) safe and secure. Since its inception, Salesforce Health Cloud has evolved significantly to meet the unique and challenging needs of the healthcare sector. The introduction of Customer 360 for Health marks a milestone in fostering empathetic care and promoting collaboration among healthcare teams. What is Salesforce Health Cloud? At its core, Health Cloud facilitates seamless collaboration among healthcare teams to ensure optimal patient care. With robust security measures in place, patient data remains secure and accessible only to authorized personnel. Salesforce Health provides care teams with convenient access to both clinical and non-clinical patient information, including health conditions, medications, appointment history, communication preferences, and data from Electronic Health Records (EHRs). Categorized under Salesforce Industry Clouds, Health Cloud combines CRM capabilities with specialized features tailored for healthcare providers, payers, medical device companies, and pharmaceutical manufacturers. Its goal is to deliver personalized, connected care across the entire, sometimes disjointed healthcare ecosystem. Why Use Salesforce Health Cloud? Salesforce Health offers benefits to various stakeholders within the healthcare industry, including providers, payers, manufacturers, and research organizations. In a challenging healthcare landscape, Health Cloud addresses concerns such as managing complex patient data and enhancing patient experiences effectively. Success stories from organizations like New England Biolabs and John Muir Health highlight the impact of Health Salesforce in streamlining operations, improving customer satisfaction, and enhancing care coordination. Despite its transformative potential, widespread adoption and success require rebuilding patient trust, delivering empathetic care, and prioritizing data security. Tools like Health Cloud play a crucial role in achieving these goals. The Health Cloud Data Model Central to Salesforce Health is the flexible Health Cloud Data Model, built atop the Salesforce Platform. This model organizes diverse healthcare data sources, leveraging standard objects like Accounts and Contacts alongside custom objects tailored for healthcare applications. The data model revolves around organizing data around the patient, providing care teams with a holistic view for informed decision-making and personalized care. It supports interoperability and adheres to healthcare data standards like HL7 and FHIR, enabling seamless integration with EHRs and other healthcare applications. Key Features of Salesforce Health Salesforce Health Cloud offers a suite of robust features, including: Patient 360: Provides a unified view of the patient, consolidating demographics, clinical data, and interactions for informed decision-making and personalized care. Care Plans: Enables care teams to create, track, and manage personalized care plans, incorporating goals, tasks, and milestones to monitor patient progress. Care Coordination: Facilitates collaboration among care teams, supporting secure messaging and information sharing across providers. Health Timeline: Offers an interactive visualization of a patient’s medical history, including encounters, lab results, and medications, aiding in understanding and decision-making. Einstein Analytics for Healthcare: Utilizes AI to deliver advanced insights and predictions, empowering organizations to enhance patient outcomes and operational efficiency. Patient 360 for Health In addition to existing features, Salesforce introduces new innovations under Patient 360 for Health, powered by AI. These updates include: Advanced Therapy Management: Streamlines treatment processes for pharmaceutical companies, offering full visibility into patient treatment. Salesforce Genie for Healthcare: Integrates real-time clinical and non-clinical data to create comprehensive patient profiles. AI-Supported Health Timeline: Enhances navigation and accessibility of patient records and journeys through AI. Home Health: Automates intake and scheduling for in-home treatment, optimizing patient preferences. Data Cloud for Healthcare: Connects clinical and non-clinical patient data from multiple sources into a real-time patient profile. MuleSoft Direct for Health Cloud: Provides out-of-the-box connectors to access EHR data, facilitating smoother integration. Tableau Accelerators for Health Cloud: Offers ready-to-use dashboards for various use cases, empowering teams with data-driven insights. Integration With MuleSoft Salesforce Health seamlessly integrates with MuleSoft, enabling organizations to connect with existing EHRs, billing systems, and healthcare applications. MuleSoft’s Anypoint Platform provides pre-built connectors and APIs to simplify integration and unlock the full potential of healthcare data. Salesforce Health Cloud is not only a powerful platform for healthcare organizations but also a catalyst for positive change in patient care and operational efficiency. By leveraging HC’s capabilities, healthcare organizations can deliver exceptional patient experiences, streamline processes, and ensure data security and compliance. With continuous integration and innovation within the Salesforce ecosystem, Health Cloud remains positioned to drive transformative change in the healthcare industry, addressing challenges and paving the way for a brighter future in healthcare. Considering Salesforce Health Cloud for your practice? Contact Tectonic today. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more 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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Cloud First

Advances in Generative AI

What is generative AI?  Generative AI focuses on creating new and original content, chat responses, designs, synthetic data or even deepfakes.  While predictive AI worked on predefined, human supplied rules, generative AI functions somewhat autonomously. Advances in Generative AI have been groundbreaking. Advances in generative AI represent a significant advancement beyond established technologies like predictive AI, and business leaders are eagerly embracing its potential. A remarkable 91% recognize generative AI as a major advantage, driven by its diverse applications, from content creation to software development. Despite its novelty, generative AI is rapidly progressing, causing over three-quarters of business leaders to express concerns about potentially missing out on its benefits. In particular, marketing leaders are apprehensive about not fully leveraging generative AI in their workflows, with 88% worried that their companies are lagging behind. Insight Generation and Decision-Making: Going beyond traditional data analysis, generative AI excels by not only analyzing existing data but also generating potential scenarios. This predictive modeling empowers businesses to anticipate market shifts, understand consumer preferences, and identify potential risks, fostering proactive strategies over reactive ones. Generative AI’s Global Impact: Generative AI has captivated global attention, with ChatGPT becoming the fastest-growing software program in history, reaching a hundred million users within two months of its public debut. This surge has sparked an arms race among tech giants like Microsoft and Google, and AI chip maker Nvidia has witnessed increased business. Unlike previous AI programs that provided numeric scores, generative AI, including programs like Stability AI’s Stable Diffusion and OpenAI’s DALL-E, reproduces elements of the real world. Amazon announced in 2023 that its voice assistant Alexa now comes with generative AI capabilities. Apple is developing a large array of features that use generative AI, including a new version of Siri expected to launch in 2024. Mixed Modality in AI: The concept of mixed modality or “multi-modality” is taking center stage, enabling programs to fuse text, images, physical space representations, sounds, video, and entire computer functions as smart applications. This approach enhances program capabilities and contributes to continuous learning, potentially advancing the goal of “embodied AI” and robotics. Evolution of Generative AI: Generative AI will continue evolving, contributing to advancements in translation, drug discovery, anomaly detection, and the generation of new content, spanning text, video, fashion design, and music. A generative AI chatbot, for example, is a type of conversational AI system that uses deep learning and natural language processing techniques to generate human-like text responses in real-time. These chatbots can hold text-based conversations with users, understand user input, and generate contextually relevant responses. Transformative Trends in Marketing and Sales Operations: Generative AI is reshaping marketing and sales operations with key trends, including hyper-quick sales and marketing content creation, automation of repetitive tasks (e.g., keyword research, administrative work, content formatting, and data analysis), and the facilitation of sales enablement and custom materials. What is the Main Goal of Generative AI? The answer likely would vary depending on who you ask, but commonly we expect generative AI tools to change the calculus of knowledge work automation. Generative AI isn’t going to eliminate the need for human workers, but it will assist them with the ability to produce human-like writing, images, audio, or video in response to plain-English text prompts. The potential to collaborate with human partners to generate contact that represents practical work is exciting. Curious how generative AI could help your business? Contact Tectonic today to learn more. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more 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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Slack and ChatGPT

Slack and ChatGPT

Salesforce Inc announced its collaboration with OpenAI, the creator of ChatGPT, to integrate the chatbot technology into its Slack collaboration software and broaden the use of generative artificial intelligence across its business software. The San Francisco-based company unveiled EinsteinGPT, a technology merging its own AI capabilities with those of external partners like OpenAI. This collaboration aims to assist businesses in tasks such as drafting emails, managing customer accounts, and even generating computer code. Additionally, ChatGPT will integrate with Slack to help users summarize conversations and handle various queries. This strategic move reflects the competitive landscape among tech giants racing to enhance their platforms with generative AI, which can generate text, images, and other content based on historical data inputs. Microsoft Corp, for example, leveraging its investment in OpenAI, has integrated generative AI into its Teams product, enabling functionalities like generating meeting notes and suggesting email responses through its Viva Sales subscription. This places Teams in direct competition with Slack. Clara Shih, a general manager at Salesforce, highlighted during a press briefing that this announcement addresses the growing demand from businesses for advanced AI capabilities. She emphasized that Salesforce’s proprietary data and AI models would differentiate their offerings in the market. Salesforce’s initiative in generative AI is poised to transform customer engagement strategies for businesses, according to Shih, enabling them to innovate profoundly in their interactions with customers. In addition to this integration, Salesforce also unveiled a new fund aimed at investing in startups specializing in generative AI technologies. 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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MuleSoft Robotic Process Automation

MuleSoft Robotic Process Automation

MuleSoft Robotic Process Automation (RPA) MuleSoft Robotic Process Automation (RPA) empowers organizations to automate business processes and tasks using bots, streamlining operations and minimizing human errors. Fully integrated with Salesforce Clouds, MuleSoft RPA enables admins, business teams, and developers to leverage robotic process automation technology, facilitating end-to-end workflow automation. Key Features and Capabilities Benefits of MuleSoft RPA Common Use Cases MuleSoft RPA Development Lifecycle Comprehensive Applications for Managing the Development Lifecycle Installation and Comparison Enhanced Efficiency and Productivity By automating data extraction and entry, reducing errors, and improving productivity, MuleSoft RPA significantly enhances operational efficiency. This allows human operators to focus on more complex and strategic tasks, driving overall organizational success. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more 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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Explore Salesforce Experience Cloud

Explore Salesforce Experience Cloud

Empowering Businesses with Exceptional Salesforce Cloud Solutions Explore the transformative work we have done for our clients with Salesforce Experience Cloud, showcasing some of the exceptional solutions we have implemented. Through our strategic initiatives, we have enabled organizations across various industries to leverage the full potential of Salesforce Clouds to enhance user engagement, streamline operations, and achieve significant business growth. Our success stories reflect the diverse challenges our clients faced and the optimized solutions we provided to address them. For instance, by revamping an recruiting portal for a prominent American government agency, we reduced issues related to recruting, onboarding, and retaining talent. Tectonic’s approach incorporates the latest Salesforce technologies, such as Lightning Web Components, Service Cloud, and Experience Cloud, to deliver high-performing, scalable solutions. From improving partner portals for better partner support to transforming community portals for enhanced user experience, our solutions are designed to meet specific client needs while ensuring long-term adaptability and success. Manufacturing – Experience Cloud Case Study Public Sector – Experience Cloud and Grants Management Case Study Manufacturing – Sales, Service, Marketing, and Partner Community Case Study Manufacturing – Sales, Service, Marketing and Experience Cloud Case Study Branded Solutions Manufacturing – Sales, Service, and Experience Cloud Case Study Nonprofit Hospitality – Service and Experience Cloud Case Study Tribal Government – Health, Marketing, MuleSoft, and Experience Cloud Case Study Restaurant – Sales, Service, and Experience Cloud Case Study Federal Government – Nonprofit Talent Acquisition Experience Cloud Case Study Higher Education Software – Sales, Service and Experience Cloud Case Study Salesforce Partner Portals Built on Salesforce Experience Cloud Explore all Tectonic Salesforce Implementation Solutions 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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Connecting Marketing Cloud Account Engagement, Marketing Cloud, and Salesforce

Why Optimize Sales Force

Maximizing Sales Force Productivity: Overcoming Challenges and Reaping Rewards-Why Optimize Sales force? The productivity of a sales force is paramount to the success and growth of any business. A high-performing sales team not only drives revenue but also enhances customer satisfaction. However, organizations often encounter obstacles that hinder the optimization of their sales force. Typical Challenges and Problems Why Optimize Sales force? Approaches to Address These Challenges To effectively tackle these issues, a holistic approach is necessary: Benefits of Enhanced Sales Force Productivity Optimizing sales force productivity is key to driving growth and gaining a competitive edge. By addressing challenges, implementing strategic approaches, and emphasizing continuous improvement, organizations can elevate the effectiveness of their sales teams and enjoy the benefits of increased revenue, customer satisfaction, and employee morale. Implementing Salesforce could be just what your sales team needs. 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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