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What is Heroku
04Jan

What is Heroku

What is Heroku? Heroku is a modern, container-based Platform as a Service (PaaS) that enables developers to deploy, manage, and scale applications with ease. Designed for simplicity, flexibility, and elegance, it provides the fastest path for developers to take their apps to market. Key Features of Heroku: The Evolution of Heroku Heroku has recently undergone a transformation, becoming fully cloud-native with advanced integrations like Kubernetes, OpenTelemetry, and Agentforce, an AI-powered enhancement to its platform. These upgrades retain the platform’s hallmark simplicity while delivering more performance and tools, such as Graviton processors, EKS, ECR, and AWS Global Accelerator. AI-Powered Innovation: Agentforce Agentforce, Heroku’s latest feature, brings AI-powered automation to app development. It empowers both technical and non-technical users by offering natural language workflows for building applications, making it accessible to a wider range of business users. According to Betty Junod, Heroku’s Chief Marketing Officer at Salesforce, the platform now seamlessly combines user-friendly experiences with cutting-edge AI capabilities: “We’ve replatformed while keeping the experience as simple as ever, but now with added horsepower, Graviton performance, and managed AI tools like Bedrock.” Agentforce is particularly impactful for non-developers, guiding them through building apps and automating processes with no-code or low-code tools. This innovation aligns with Heroku’s mission to make app creation easier and more interactive: “It’s not just apps serving information anymore; users are engaging with them in entirely new ways.” Deliver Apps, Your Way Heroku is designed to serve a variety of needs, from quick prototypes to mission-critical enterprise applications. Its fully managed ecosystem allows you to build and scale apps efficiently, leveraging the tools and languages you already know and love. 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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January 4, 2025in AI Tools, Data, Enterprise, Salesforce0 Comments
03Jan

Digital Marketing for Casinos

Unveiling the Casino Experience: Harnessing the Power of Digital Marketing In the exciting world of casinos—where entertainment meets sophistication—the influence of digital marketing is undeniable. A strategic approach is packed with actionable insights designed to boost online presence, engage audiences, and drive sustained success. Discover how to craft compelling content, wield social media’s dynamic power, utilize a customer relationship platform, and optimize visibility to ensure your casino stands out in an increasingly competitive digital arena. Tectonic has a successful, winning track record in Salesforce implementation for casinos. Whether you’re promoting exclusive guest events, captivating diverse demographics, or showcasing the unique experience of your casino, this insight equips you to master the digital space with Salesforce. With these strategies, casinos can create a ever-growing online presence that not only strengthens bonds with existing patrons but also entices new guests. Generating New and Repeat Guest Traffic with Salesforce Key Takeaways Why Digital Marketing is a Critical Component for Casinos Digital marketing serves as a critical driver of customer engagement, loyalty, and revenue growth in the casino industry. Strategies such as SEO, email marketing, and social media engagement empower casinos to connect with target audiences and continuously refine their efforts to remain competitive. In today’s crowded and competitive gaming world, leveraging data-driven marketing offers the competitive edge needed to captivate and retain customers. Winning Strategies for Casino Marketing 1. Search Engine Optimization (SEO):Ensure your casino is easy to find with these tactics: 2. Pay-Per-Click Advertising (PPC):Drive traffic with targeted PPC campaigns by: 3. Social Media Marketing:Create buzz with engaging social media campaigns: 4. Email Marketing:Maintain direct communication with: 5. Salesforce 360 Degree Guest View:Maintain personalized communication with: Reaching the Right Audience with Precision Audience Segmentation:Segmenting your audience by behavior, demographics, and preferences ensures more effective marketing. Navigating Legal and Ethical Challenges in Casino Marketing Compliance is essential in maintaining trust and navigating complex regulations. Measuring Success: Metrics and Optimization Key Metrics to Monitor: Campaign Optimization: Addressing Industry Challenges with Marketing 1. Rising Competition:Stand out by delivering unmatched gaming experiences and innovative promotions. 2. High Player Churn:Combat churn with data-driven marketing and personalized offerings to boost player lifetime value. 3. ROI Challenges:Optimize your mix of games and services to balance player satisfaction and profitability. The Road Ahead: Commitment to Digital Transformation With the global online gaming market projected to grow at a significant pace, casinos must embrace a future grounded in digital and data-driven marketing. Investments in technology, analytics, and talent will be pivotal in securing long-term profitability and differentiation. In an industry where chance often rules, success lies in a deliberate, strategic approach to digital marketing. This insight equips you with the tools to not only compete but thrive in this dynamic landscape. Contact Tectonic today to explore Salesforce tools to better reach, engage, and serve your guests. 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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January 3, 2025in Agentforce Platform, Data, Einstein 1 Platform, Einstein Insights, Enterprise, Laws, Marketing Automation, Salesforce, Salesforce Data Cloud, Salesforce Development Services, Salesforce Experience Cloud, Salesforce Hospitality Travel and Transportation, Salesforce Implementation Services, Technology0 Comments

The Subscription Economy

The Subscription Economy: A $1.5 Trillion Opportunity by 2025The subscription economy has expanded by 435% over the last decade and is projected to reach a staggering $1.5 trillion market size by 2025, cementing its status as a dominant business model. Companies leveraging subscription and servitization strategies are unlocking consistent revenue streams and delivering tailored services that foster customer loyalty and satisfaction. The Challenge of Managing RenewalsWhile the subscription economy thrives, managing renewals effectively remains a critical challenge. Without a robust system, businesses risk: This is where Salesforce CPQ (Configure, Price, Quote) becomes essential. It not only automates the renewal process but also empowers businesses to deliver accurate, timely, and personalized renewal experiences. The Role of Salesforce CPQ in Renewal ManagementSalesforce CPQ streamlines the renewal process by automating workflows, ensuring pricing accuracy, and creating personalized customer experiences. Key benefits include: With Salesforce CPQ, renewals become a strategic opportunity to retain customers, drive revenue growth, and deliver exceptional service. The Importance of Renewal Metrics Tracking the right renewal metrics is crucial for understanding performance and identifying areas for improvement. These metrics provide actionable insights that drive better customer retention and revenue growth. 1. Renewal Rate 2. Churn Rate 3. Renewal Revenue 4. Net Revenue Retention (NRR) 5. Customer Lifetime Value (CLV) 6. Time to Renewal (TTR) 7. Renewal Upsell Rate 8. Renewal Discount Utilization Enhancing Renewal Metrics with Salesforce CPQ Salesforce CPQ transforms how you track and manage renewal metrics through automation, analytics, and workflow optimization. Here’s how: 1. Automate Renewal Tracking 2. Enhance Reporting and Analytics 3. Optimize Workflows 4. Analyze and Improve 5. Train and Support Teams Conclusion Salesforce CPQ revolutionizes renewal management by automating processes, reducing errors, and delivering actionable insights through renewal metrics. By implementing these tools and strategies, you can improve customer retention, increase revenue, and build stronger customer relationships. Whether managing hundreds or thousands of renewals, Salesforce CPQ ensures your business stays ahead with precision and care. 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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January 2, 2025in Data, Enterprise, Salesforce, Salesforce CPQ0 Comments
Salesforce Omni-Channel
27Dec

Salesforce Channels

Channels Email Messaging Voice Open CTI Social Media Chat Channel Tools Email Updates Messaging Enhancements Voice Improvements Social Media Chat Updates Other Channel Tools These updates enhance the messaging, email, voice, and chat experiences, streamlining agent workflows, improving customer interactions, and providing greater customization. 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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December 27, 2024in Google, Salesforce0 Comments
AI Leader Salesforce
27Dec

Sales Leads and Lead Scoring

Sales teams often face a growing pile of leads, making it overwhelming to determine where to focus their energy. How do you prioritize effectively? Lead scoring is the answer. This methodology helps rank prospects based on their likelihood to convert into customers. By mastering lead scoring, sales teams can win more deals and drive revenue growth. What is Lead Scoring? Lead scoring is a strategy used by sales teams to evaluate and rank potential customers by assigning values based on their behavior, demographics, and interactions with the business. This process identifies high-quality leads and determines their likelihood of conversion. By implementing lead scoring, sales teams can focus their time and resources on the most promising prospects. Why is Lead Scoring Important? According to the Salesforce State of Sales Report, sales reps spend 25% of their workweek researching, prospecting, and prioritizing leads. These activities are essential for moving prospects through the sales funnel, yet balancing them with other responsibilities is a challenge. Lead scoring streamlines this process, enabling teams to be more productive by focusing on high-value leads. This improves conversion rates while helping sales leadership better forecast pipelines and revenue. For example, imagine a sales rep for a medical software company trying to close deals with 100 hospital leads. Pursuing them randomly wastes time. However, with lead scoring, they can identify the top 10 most promising leads based on specific criteria, saving time and increasing success rates. Key Components of an Effective Lead Scoring System 1. Data Categories 2. Implicit vs. Explicit Data 3. Quality Data A reliable lead scoring system depends on accurate and up-to-date data. Keeping CRM records current and synced ensures a dependable scoring process. 4. Rule Definition Define criteria based on your most successful customer profiles. Identify patterns of attributes and behaviors that consistently lead to conversion. Similarly, assess unconverted leads to understand traits that signal low potential. 5. Manual vs. Predictive Scoring Steps to Implement Lead Scoring Common Lead Scoring Mistakes to Avoid Tools and Software for Lead Scoring The right tools can make lead scoring more efficient: If you’re short on data, opt for tools that can leverage anonymized external datasets to build your scoring model, transitioning to your own data over time as you scale. Real-World Examples Lead Scoring: Your Path to Higher Conversions By effectively implementing lead scoring, your sales team can prioritize high-value leads, boost conversion rates, and achieve sustainable revenue growth. Whether you choose manual or predictive methods, the key is to focus on what drives success for your business. Take control of your sales pipeline—lead scoring will show you the way. 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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December 27, 2024in Data0 Comments
AI-Powered Smarter Media
23Dec

AI Transforming Precision Medicine

How AI-Driven Data Curation is Transforming Precision Medicine Precision medicine—a healthcare approach that personalizes disease prevention and treatment based on insights into a patient’s genes, environment, and behavior—holds incredible promise. However, its success depends on high-quality, curated data from sources like electronic health records (EHRs). This reliance creates significant challenges for healthcare providers and researchers. Can artificial intelligence (AI) help address these hurdles? AI-enabled data curation is already making strides in advancing precision medicine, particularly in oncology. By analyzing vast datasets, including structured and unstructured information, AI is helping healthcare organizations accelerate research and improve patient outcomes. Data Curation Challenges in Precision Medicine Real-world data (RWD) is a key driver of precision medicine, but processing this data is fraught with challenges. According to Dr. C.K. Wang, Chief Medical Officer at COTA, Inc., EHRs provide unprecedented access to detailed patient information, enabling deeper insights into care patterns. However, much of this data resides in unstructured formats, such as clinicians’ notes, making it difficult to extract and analyze. “To transform this unstructured data into actionable insights, significant human expertise and resources are required,” Wang explained. While AI tools like COTA’s CAILIN, which uses advanced search capabilities, streamline this process, human involvement remains essential. Wang emphasized that even with the rapid advancements in AI, healthcare data curation requires expert oversight to ensure quality and reliability. “The adage ‘junk in, junk out’ applies here—without high-quality training data, AI cannot generate meaningful insights,” he noted. PHI and COTA: A Collaborative Approach to AI-Driven Curation To overcome these challenges, Precision Health Informatics (PHI), a subsidiary of Texas Oncology, partnered with COTA to enhance their data curation capabilities. The collaboration aims to integrate structured and unstructured data, including clinician notes and patient-reported outcomes, into a unified resource for precision medicine. PHI’s database, which represents 1.6 million patient journeys, provides a rich resource for hypothesis-driven studies and clinical trial enrichment. However, much of this data was siloed or unstructured, requiring advanced tools and expert intervention. Lori Brisbin, Chief Operating Officer at PHI, highlighted the importance of partnering with a data analytics leader. “COTA’s strong clinical knowledge in oncology allowed them to identify data gaps and recommend improvements,” she said. This partnership is yielding significant results, including a high data attrition rate of 87%—far surpassing the industry average of 50% for similar projects. The Role of AI in Cancer Care AI tools like CAILIN are helping PHI and COTA refine data curation processes by: Brisbin likened the role of AI to sorting images: “If you’re looking for German shepherds, AI will narrow the search but might include similar images, like wolves or huskies. Experts are still needed to validate and refine the results.” Building the Foundation for Better Outcomes The integration of high-quality RWD into analytics efforts is reshaping precision medicine. While clinical trial data offers valuable insights, it often lacks the variability seen in real-world scenarios. Adding RWD to these datasets helps expand the scope of research and ensure broader applicability. For instance, cancer care guidelines developed with RWD can account for diverse patient populations and treatment approaches. COTA’s work with PHI underscores the value of collaborative data curation, with AI streamlining processes and human experts ensuring accuracy. The Future of AI in Precision Medicine As healthcare organizations invest in data-driven innovation, AI will play an increasingly pivotal role in enabling precision medicine. However, challenges remain. Wang noted that gaps in EHR data, such as missing survival metrics, can undermine oncological outcomes research. Advances in interoperability and external data sources will be key to addressing these issues. “The foundation of our partnership is built on leveraging data insights to enhance care quality and improve operational efficiency,” Wang said. Through AI-powered tools and meaningful partnerships, precision medicine is poised to deliver transformative results, empowering providers to offer tailored treatments that improve patient outcomes at scale. 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 Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

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December 23, 2024in AI Tools, Artificial Intelligence, Data0 Comments
salesforce master details relationships
20Dec

Master-detail and Lookup Relationships in Salesforce

Understanding Data Relationships in Salesforce: Master-Detail vs. Lookup Relationships In Salesforce, data is structured using three fundamental elements: Objects, Fields, and Records. Objects act as tables in a database, fields represent columns, and records serve as rows. To efficiently manage and access data while maintaining consistency, data relationships play a pivotal role. These relationships define how records in one object are connected to those in another, enabling seamless organization and interaction. Among the most common types of data relationships in Salesforce are Master-Detail and Lookup Relationships. The primary distinction between these two lies in their level of dependency: This article delves into the details, benefits, and practical applications of these relationships, along with a head-to-head comparison. Master-Detail Relationship in Salesforce A Master-Detail Relationship creates a strong dependency between two Salesforce objects, where one serves as the parent (master) and the other as the child (detail). Key Features Example: Order Management For every order, multiple products (order line items) may be included. If the parent order is deleted, all related order line items are also deleted. Additionally, rollup summary fields can calculate the total number of line items or their combined value. Benefits Lookup Relationship in Salesforce A Lookup Relationship represents a more flexible association between objects, where the child object is less dependent on the parent. Key Features Example: Product Catalog In this scenario, order line items reference specific products. If a product is deleted, the related line items remain, but their references are cleared. Benefits Master-Detail vs. Lookup Relationships Feature Master-Detail Relationship Lookup Relationship Dependency Strong (child depends on parent) Weak (child independent of parent) Cascade Delete Yes No Rollup Summary Fields Supported Not supported (use RollUp Magic) Security Settings Inherited from parent Independent Flexibility Less flexible Highly flexible Overcoming Lookup Relationship Limitations with RollUp Magic One notable limitation of lookup relationships is the lack of support for rollup summary fields. This gap can be bridged with the tool RollUp Magic. Key Features of RollUp Magic Conclusion Master-detail and lookup relationships are essential tools in Salesforce for managing data associations. For organizations leveraging lookup relationships, tools like RollUp Magic, GridMate, or clearMDM enhance data management by enabling rollup summary fields, elevating reporting and analytics capabilities. By understanding the nuances of these object relationships, you can better organize and manage your Salesforce data to meet your business needs effectively. 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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December 20, 2024in Data0 Comments
Gen AI Unleased With Vector Database
18Dec

Knowledge Graphs and Vector Databases

The Role of Knowledge Graphs and Vector Databases in Retrieval-Augmented Generation (RAG) In the dynamic AI landscape, Retrieval-Augmented Generation (RAG) systems are revolutionizing data retrieval by combining artificial intelligence with external data sources to deliver contextual, relevant outputs. Two core technologies driving this innovation are Knowledge Graphs and Vector Databases. While fundamentally different in their design and functionality, these tools complement one another, unlocking new potential for solving complex data problems across industries. Understanding Knowledge Graphs: Connecting the Dots Knowledge Graphs organize data into a network of relationships, creating a structured representation of entities and how they interact. These graphs emphasize understanding and reasoning through data, offering explainable and highly contextual results. How They Work Strengths Limitations Applications Vector Databases: The Power of Similarity In contrast, Vector Databases thrive in handling unstructured data such as text, images, and audio. By representing data as high-dimensional vectors, they excel at identifying similarities, enabling semantic understanding. How They Work Strengths Limitations Applications Combining Knowledge Graphs and Vector Databases: A Hybrid Approach While both technologies excel independently, their combination can amplify RAG systems. Knowledge Graphs bring reasoning and structure, while Vector Databases offer rapid, similarity-based retrieval, creating hybrid systems that are more intelligent and versatile. Example Use Cases Knowledge Graphs vs. Vector Databases: Key Differences Feature Knowledge Graphs Vector Databases Data Type Structured Unstructured Core Strength Relational reasoning Similarity-based retrieval Explainability High Low Scalability Limited for large datasets Efficient for massive datasets Flexibility Schema-dependent Schema-free Challenges in Implementation Future Trends: The Path to Convergence As AI evolves, the distinction between Knowledge Graphs and Vector Databases is beginning to blur. Emerging trends include: This convergence is paving the way for smarter, more adaptive systems that can handle both structured and unstructured data seamlessly. Conclusion Knowledge Graphs and Vector Databases represent two foundational technologies in the realm of Retrieval-Augmented Generation. Knowledge Graphs excel at reasoning through structured relationships, while Vector Databases shine in unstructured data retrieval. By combining their strengths, organizations can create hybrid systems that offer unparalleled insights, efficiency, and scalability. In a world where data continues to grow in complexity, leveraging these complementary tools is essential. Whether building intelligent healthcare systems, enhancing recommendation engines, or powering semantic search, the synergy between Knowledge Graphs and Vector Databases is unlocking the next frontier of AI innovation, transforming how industries harness the power of their data. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

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December 18, 2024in Artificial Intelligence, Data, Enterprise, Google0 Comments
Transforming the Role of Data Science Teams
15Dec

Transforming the Role of Data Science Teams

GenAI: Transforming the Role of Data Science Teams Challenges, Opportunities, and the Evolving Responsibilities of Data Scientists Generative AI (GenAI) is revolutionizing the AI landscape, offering faster development cycles, reduced technical overhead, and enabling groundbreaking use cases that once seemed unattainable. However, it also introduces new challenges, including the risks of hallucinations and reliance on third-party APIs. For Data Scientists and Machine Learning (ML) teams, this shift directly impacts their roles. GenAI-driven projects, often powered by external providers like OpenAI, Anthropic, or Meta, blur traditional lines. AI solutions are increasingly accessible to non-technical teams, but this accessibility raises fundamental questions about the role and responsibilities of data science teams in ensuring effective, ethical, and future-proof AI systems. Let’s explore how this evolution is reshaping the field. Expanding Possibilities Without Losing Focus While GenAI unlocks opportunities to solve a broader range of challenges, not every problem warrants an AI solution. Data Scientists remain vital in assessing when and where AI is appropriate, selecting the right approaches—whether GenAI, traditional ML, or hybrid solutions—and designing reliable systems. Although GenAI broadens the toolkit, two factors shape its application: For example, incorporating features that enable user oversight of AI outputs may prove more strategic than attempting full automation with extensive fine-tuning. Differentiation will not come from simply using LLMs, which are widely accessible, but from the unique value and functionality they enable. Traditional ML Is Far from Dead—It’s Evolving with GenAI While GenAI is transformative, traditional ML continues to play a critical role. Many use cases, especially those unrelated to text or images, are best addressed with ML. GenAI often complements traditional ML, enabling faster prototyping, enhanced experimentation, and hybrid systems that blend the strengths of both approaches. For instance, traditional ML workflows—requiring extensive data preparation, training, and maintenance—contrast with GenAI’s simplified process: prompt engineering, offline evaluation, and API integration. This allows rapid proof of concept for new ideas. Once proven, teams can refine solutions using traditional ML to optimize costs or latency, or transition to Small Language Models (SMLs) for greater control and performance. Hybrid systems are increasingly common. For example, DoorDash combines LLMs with ML models for product classification. LLMs handle cases the ML model cannot classify confidently, retraining the ML system with new insights—a powerful feedback loop. GenAI Solves New Problems—But Still Needs Expertise The AI landscape is shifting from bespoke in-house models to fewer, large multi-task models provided by external vendors. While this simplifies some aspects of AI implementation, it requires teams to remain vigilant about GenAI’s probabilistic nature and inherent risks. Key challenges unique to GenAI include: Data Scientists must ensure robust evaluations, including statistical and model-based metrics, before deployment. Monitoring tools like Datadog now offer LLM-specific observability, enabling teams to track system performance in real-world environments. Teams must also address ethical concerns, applying frameworks like ComplAI to benchmark models and incorporating guardrails to align outputs with organizational and societal values. Building AI Literacy Across Organizations AI literacy is becoming a critical competency for organizations. Beyond technical implementation, competitive advantage now depends on how effectively the entire workforce understands and leverages AI. Data Scientists are uniquely positioned to champion this literacy by leading initiatives such as internal training, workshops, and hackathons. These efforts can: The New Role of Data Scientists: A Strategic Pivot The role of Data Scientists is not diminishing but evolving. Their expertise remains essential to ensure AI solutions are reliable, ethical, and impactful. Key responsibilities now include: By adapting to this new landscape, Data Scientists will continue to play a pivotal role in guiding organizations to harness AI effectively and responsibly. GenAI is not replacing them; it’s expanding their impact. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

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December 15, 2024in Data, Generative AI0 Comments
Why Tracking Business Metrics Matters More Than You Think
14Dec

Why Tracking Business Metrics Matters More Than You Think

Without measurement, a business is flying by the seat of its pants. In business, as in many areas of life, tracking progress is essential for growth. For example, one individual has been tracking cycling times on the same routes for over five years, and while performance has slowed, improvements in other areas, like taking more time off with family and building stronger client relationships, have been evident. Despite this, many businesses still fail to measure enough, particularly when it comes to understanding key performance indicators. A recent Salesforce survey found that 60% of small businesses rely primarily on cash flow as their key metric, often neglecting other important indicators of business health. For many, the primary measure of success is simply how much money is in the bank account, which, while important, is only a small part of the larger picture. The importance of measurement and metrics for business success and growth cannot be over emphasized. By tracking the right indicators, businesses gain a competitive edge and the ability to adapt and thrive in an ever-changing market. The Importance of Measurement Today, measuring business performance is more critical than ever for several reasons: Key Metrics to Measure While industry-specific metrics are important, there are several universal indicators that every management team should focus on. Thanks to new digital tools, gathering and analyzing these metrics is easier than ever, offering a comprehensive view of a business’s health. The Consequences of Not Measuring Without measurement, businesses are essentially operating without road signs. Small businesses, in particular, may not measure enough, while larger organizations may suffer from “analysis paralysis” by over-measuring and becoming overwhelmed by data. Measurement makes a difference. Just as an individual may track cycling times without measuring other variables like weight or diet, businesses must decide which metrics are most relevant to their success. While some aspects of business may be left unmeasured, others—such as sales, margins, and marketing performance—are vital for growth and strategic decision-making. In conclusion, businesses that embrace measurement are better equipped to navigate challenges, seize opportunities, and ultimately, thrive in a competitive market. 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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December 14, 2024in Data, Salesforce0 Comments
AI-Driven Care Coordination Software
13Dec

AI-Driven Care Coordination Software

Can AI-Driven Care Coordination Software Improve Workflows? University Hospitals is leveraging AI to enhance care coordination across its network of 13 hospitals and numerous outpatient settings. This effort highlights the transformative potential of AI-driven platforms in streamlining workflows, improving patient outcomes, and addressing clinician burnout. The Role of AI in Care Coordination Care coordination ensures seamless collaboration between healthcare providers, aiming for safe, appropriate, and effective treatment. Effective information-sharing can: According to the U.S. Centers for Medicare & Medicaid Services (CMS), poor care coordination can lead to: The Agency for Healthcare Research and Quality (AHRQ) advocates for a mix of technology adoption and care-specific strategies, such as proactive care plans tailored to patient needs. While electronic health records (EHRs) aid in these efforts, AI’s ability to analyze vast data sets positions it as the next evolution in care coordination. University Hospitals’ AI Initiative University Hospitals has partnered with Aidoc to deploy its AI-powered platform, aiOS, to improve radiology and care coordination workflows. Chair of Radiology Donna Plecha shared insights on how AI is already assisting in their operations: Best Practices for Implementing AI 1. Identify High-Value Use Cases: 2. Conduct Architectural Reviews: 3. Monitor ROI and Metrics: 4. Gain Clinician Buy-In: Looking Ahead AI is proving to be a valuable tool in care coordination, but its adoption requires realistic expectations and a thoughtful approach. Plecha underscores that AI won’t replace radiologists but will empower those who embrace it. As healthcare faces increasing patient volumes and clinician shortages, leveraging AI to reduce workloads and enhance care quality is becoming a necessity. With ongoing evaluations and phased implementations, University Hospitals is setting a precedent for how AI can drive innovation in care coordination while maintaining clinician oversight and patient trust. 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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December 13, 2024in Agentforce Platform, AI Tools, Data, Salesforce Health and Life Sciences Solutions, Technology0 Comments
Nature Tech Alliance
11Dec

The Nature Tech Revolution

The Nature Tech Revolution: From “Do No Harm” to “Nature-Positive” In January, ERM, Salesforce, Planet, and NatureMetrics launched the NatureTech Alliance at the World Economic Forum in Davos. The Alliance’s mission is clear: empower companies to leverage advanced data and technology to address pressing nature-related challenges. This integrated effort focuses on: After engaging with clients in early 2024, the Alliance identified recurring challenges across value chains. Through interviews with industry leaders, it uncovered actionable insights into corporate efforts to overcome these hurdles. Seven key takeaways highlight the obstacles and opportunities for effective nature-positive strategies. Seven Key Insights for Corporate Nature Action 1. Nature Risk is Both Global and Highly Local Nature-related risks, such as water scarcity or biodiversity loss, vary significantly by region. However, many companies rely on coarse, global data that overlooks critical local nuances like community-level resource usage or ecosystem dynamics. This mismatch creates blind spots that can hinder decision-making, disrupt operations, or lead to regulatory non-compliance. 2. Nature Risk Lacks Integration with Enterprise Strategy Nature-related risks often remain siloed from broader enterprise risk frameworks, despite deep ties to issues like climate change. For instance, deforestation exacerbates biodiversity loss and water stress while releasing carbon into the atmosphere. Integrating nature data into strategic planning is essential for resilience and sustainable performance. 3. Gaps in Understanding Hinder Progress Corporate decision-makers and investors frequently struggle to interpret complex nature-related data, slowing the adoption of nature-positive strategies. Bridging this gap with accessible tools and clear communication is critical to driving meaningful action. 4. A Shift from “Do No Harm” to “Net Positive” Businesses are evolving from mitigating harm (e.g., reducing deforestation) to pursuing net-positive outcomes, such as reforestation or ecosystem restoration. While promising, many of these efforts remain in pilot phases due to challenges in site-level data and measuring impacts. 5. Financial Institutions Lag but Hold Scaling Potential The financial sector trails industries like agriculture in incorporating nature-related data into decision-making. However, as institutions recognize risks like biodiversity loss and soil degradation, they are poised to influence capital flows and set new standards for nature-positive investments. 6. The Future Lies in Outcome-Based Metrics Companies are shifting from input-based metrics (e.g., reduced fertilizer use) to measuring real-world outcomes for biodiversity and ecosystem health. Outcome-based metrics offer better clarity on environmental impacts and link corporate actions to business value. However, challenges like standardized methodologies and reliable data collection persist. 7. Data Fragmentation, Not Technology, is the Biggest Barrier Although technologies like AI and remote sensing are widely available, fragmented and inconsistent data remains a significant hurdle. Many organizations collect localized data but struggle to integrate it across supply chains and operations. Advanced platforms that consolidate disparate datasets are critical for actionable insights. A Shared Vision for Nature-Positive Solutions The NatureTech Alliance envisions a transformative approach to addressing these challenges, built on five pillars: Achieving a Nature-Positive Future By aligning corporate strategies with these principles, businesses can move beyond “do no harm” to actively restoring ecosystems and driving nature-positive outcomes. This transition requires advanced tools, collaboration, and a commitment to measurable impact—paving the way for a more sustainable and resilient future. 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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December 11, 2024in Data, Enterprise, Salesforce, Technology0 Comments
Salesforce Heroku
09Dec

Salesforce Modernizes Heroku

Salesforce Modernizes Heroku PaaS with Kubernetes, .NET, and More Salesforce is rolling out a significant upgrade to Heroku, its popular Platform-as-a-Service (PaaS), to better align with modern developer needs. Key enhancements include support for Amazon Elastic Container Registry (ECR), AWS Global Accelerator, Elastic Kubernetes Service (EKS), AWS Graviton processors, and AWS Bedrock. The revamped platform, dubbed the Heroku Next Generation Platform, was unveiled at the AWS Re:Invent 2024 conference. While some features are in public beta, Salesforce plans to fully release additional capabilities by 2025. Catering to the Modern DeveloperHeroku’s overhaul reflects the growing dominance of Kubernetes and the increasing demand for AI-enabled applications, including autonomous ones built in Salesforce’s Agentforce. Rebecca Wettemann, founder of Valoir, notes that these trends required Salesforce to evolve Heroku to remain competitive in the PaaS market. Kubernetes, for instance, is widely used for app containerization across clouds, while AI applications are becoming a focal point for many developers. “The update broadens Heroku’s appeal to developers who rely on Kubernetes or are building AI applications,” Wettemann said. Another notable addition is support for open telemetry, a standardized approach to monitoring app performance. Developers can now stream real-time metrics such as app health and container logs into their preferred visualization tools. “This integration offers unparalleled flexibility for our customers to work with a wide ecosystem of telemetry collectors,” said Gail Frederick, Heroku’s CTO at Salesforce. Introducing .NET SupportOne of the standout updates is the inclusion of .NET, a widely used open-source framework. Developers can now use .NET languages such as C#, F#, and Visual Basic alongside Heroku’s existing support for languages like Python, Ruby, Java, Node.js, and Scala. This strategic move aligns Heroku with a broader audience, especially developers familiar with Microsoft’s ecosystem. “Heroku is all about developer choice,” said Frederick. “Adding .NET ensures we continue to serve diverse needs.” Streamlining Development and DeploymentHeroku aims to simplify app development by automating infrastructure management and lifecycle tasks. “Heroku is the platform developers turn to when they need things to work without thinking about infrastructure,” said Adam Zimman, Senior Director of Product Marketing at Heroku. The platform abstracts complex deployment steps, such as configuration, provisioning, and autoscaling, enabling developers to focus on coding and innovation. Apps are deployed as pre-packaged “slugs” that run on Heroku’s dynos, isolated Unix-based containers. Developers can scale their apps dynamically by adding or removing dynos via the platform’s management interface. Efficiency Gains for BusinessesZimman highlighted the efficiency benefits of Heroku’s approach, projecting up to a 40% boost in developer productivity and a 30% reduction in developer expenses. “By taking care of the heavy lifting, we enable businesses to deliver applications faster and more cost-effectively,” he explained. Heroku also offers over 500 pre-built add-ons and build packs, covering functions like messaging, database management, and email services. These integrations provide additional flexibility and speed up the development lifecycle. Scaling Beyond StartupsWhile Heroku is often associated with startups, Salesforce has scaled the platform to accommodate enterprise-grade applications. “Heroku now evolves with your business,” said Chris Peterson, Senior Director of Product Management at Heroku. The platform has powered over 13 million applications and 38 million managed data stores since its launch in 2007. Many Salesforce applications also run on Heroku, leveraging deep integrations to extend the Salesforce ecosystem seamlessly. Heroku’s pricing starts at $7 per month for a basic plan and scales up to $40,000 per month for enterprise-grade solutions, ensuring it meets the needs of organizations of all sizes. With these updates, Heroku continues to position itself as a go-to platform for developers, enabling faster time-to-market, reduced operational complexity, and a better overall development experience. 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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December 9, 2024in Data, Enterprise0 Comments

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