, Author at gettectonic.com - Page 64
MuleSoft Compostability

MuleSoft Composability

MuleSoft: Enabling AI Integration with Composability Solutions – MuleSoft Composability MuleSoft, a subsidiary of Salesforce, is enhancing its portfolio with new capabilities to help organizations build AI services that serve as the building blocks for more complex applications. The company announced a new AI-powered composability solution designed to assist organizations in constructing discrete AI services to form sophisticated systems and applications. The Power of APIs in AI“We believe the world of AI is really the world of APIs,” said Param Kahlon, Salesforce EVP and GM of Automation and Integration. “Accessing AI in the enterprise fundamentally involves the ability to call a model.” This applies whether the AI model is an internal large language model (LLM) or a foundational model built by a third party. “Using an LLM within the company or federating requests across multiple LLMs through LangChain involves API calls,” Kahlon added. “These API calls need to be managed and governed.” AI Integration with MuleSoftMuleSoft’s goal is to provide a platform that integrates AI, especially generative AI, with business processes. For instance, MuleSoft aims to manage API calls to external LLMs using its API management tools and enable APIs to act as actions for copilot conversational agents in the enterprise. This allows agents to execute backend actions using natural language, such as granting customer credit or escalating orders. The MuleSoft solution enables you to connect data, automate workflows, and build an AI-ready foundation in a single unified platform. The pulse of innovation never stops, and neither does the pressure to cater to employees and customers. In fact, 84% of IT leaders share the need for IT to step up its game and better address shifting customer expectations.  The MuleSoft Composability Solution The MuleSoft composability solution comprises three main pillars: Anypoint Platform: Used to define, design, build, and deploy APIs.API Management: Manages the deployment of APIs throughout their lifecycle, whether built with Anypoint or other technologies.Automation: Includes MuleSoft RPA and MuleSoft Intelligent Document Processing (IDP).While these components are part of MuleSoft’s existing portfolio, the company introduced new features, such as support for AsyncAPI, to facilitate the adoption of event-driven architectures (EDAs). AsyncAPI Support and Real-Time CommunicationCurrently in open beta, AsyncAPI support will be generally available later this year. It will enable systems to add real-time communication for processes with fluctuating data sets, like predictive maintenance, dynamic pricing, or fraud detection. For example, a bank could use AI models for fraud detection by analyzing transactional data and user behavior. This model can be transformed into a service callable by various applications. Enhancing Security and GovernanceSecurity and governance are crucial components of the composability solution. When applications make API calls to LLMs and other external models, it’s vital to ensure that valuable data is encrypted and/or masked. MuleSoft’s API gateways, Anypoint Flex Gateway, and Mule Gateway can act as LLM gateways with custom policies to secure and manage APIs. For example, a financial institution could use an API gateway to implement a custom policy checking for sensitive customer information before sharing data with a third-party LLM. To increase internal collaboration and efficiency, IT leaders are leaning into automation and AI – but these initiatives are not here to replace the human touch, rather to liberate human potential. These technologies free up IT experts to dive into the more “human” aspects of their roles, think innovation, communication, and collaboration. Picture it as IT superheroes, if you will, donning capes of automation. MuleSoft is at the forefront of enabling AI integration and innovation in enterprise environments. By breaking down data silos and fostering interoperability, MuleSoft’s composability solution enhances the efficiency and effectiveness of AI applications, ensuring secure and seamless integration across business processes. MuleSoft has a goal to empower everyone with AI. Salesforce announced AI-powered enhancements to its MuleSoft automation, integration, and API management solutions that help business users and developers improve productivity, simplify workflows, and accelerate time to value.  MuleSoft’s Intelligent Document Processing (IDP) helps teams quickly extract and organize data from diverse document formats including PDFs and images. Unlike other automation solutions, MuleSoft’s IDP is natively integrated into Salesforce Flow, which provides customers with an end-to-end automation experience. Additionally, to speed up project delivery, MuleSoft has embedded Einstein, Salesforce’s predictive and generative AI assistant, in its pro-code and low-code tools. This empowers users to build integrations and automations using natural language prompts directly in IDP, Flow Builder, and Anypoint Code Builder.  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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

Read More
Tableau Cloud Hyperforce

Tableau Cloud Hyperforce

What to Know About Tableau Cloud Migration to Hyperforce Tableau Cloud is transitioning to Hyperforce, Salesforce’s next-generation infrastructure for the public cloud, in the second half of 2024. This shift promises enhanced security, scalability, and compliance, allowing customers to better manage data residency and adhere to local regulations. Here’s a closer look at what Hyperforce is, the benefits it brings to Tableau Cloud, and how to learn more about this significant upgrade. What is Hyperforce? Hyperforce is Salesforce’s advanced infrastructure architecture tailored for the public cloud. It marks a significant technological advancement, enabling applications to perform with greater security and efficiency. Unlike traditional hardware-dependent setups, Hyperforce is built on a foundation of code, allowing seamless deployment across global regions. This flexibility ensures effective data residency management and compliance with local laws. This might be a good time to consider moving to Tableau Cloud. Shifting workloads to software-as-a-service (SaaS) solutions has been an increasing priority for organizations for years. As we build for a world facing new economic challenges and uncertainty, executives have increasingly looked to Tableau Cloud, our SaaS offering, to help them develop their own competitive advantages, easily scale, and maximize efficiency. Flexera’s 2023 State of the Cloud reports that 51% of data is now in the public cloud, and nearly half of their survey respondents indicated their organization plans to move from on-premises software to SaaS. More and more organizations are turning to cloud solutions to reduce operational costs and drive their own digital transformation. Benefits of Tableau Cloud on Hyperforce When Tableau Cloud transitions to Hyperforce, customers will experience immediate benefits while retaining the familiar user experience and functionality. Here’s what to expect: Leveraging Salesforce Innovations Hyperforce enables Tableau Cloud to integrate more effectively with Salesforce’s existing innovations and integrations, fostering faster innovation. A notable example is Tableau Cloud Private Connect, which allows secure connections between Tableau Cloud and popular cloud data warehouses and lakes via a private connection, enhancing data transit security. Learning More About the Migration To delve deeper into Salesforce’s Hyperforce platform and the Tableau Cloud migration, refer to the Hyperforce FAQ and the Tableau Cloud Hyperforce Migration article. This migration marks an exciting phase for Tableau Cloud, promising unparalleled scalability, security, and compliance. The enhanced regional availability and compliance standards will enable more organizations worldwide to leverage Tableau Cloud, while the platform’s flexibility will spur faster AI-powered analytics innovations. For those interested in the technical details and implications of this transition, contact Tectonic today. Tableau Cloud is always on the latest version Tableau, which means you get access all of the innovations as soon as they’re available. That means all Tableau AI features that we develop are available to your data community right away. As transformational technologies like LLMs are integrated into Tableau Pulse, your teams can use them to stay up to date on all the most essential metrics immediately. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

Read More
Salesforce Validation Rules

Salesforce Validation Rules

Essential Validation Rules for Salesforce Admins In this post, five essential validation rules that Salesforce admins should implement in their clients’ Salesforce orgs are discussed. Improve the quality of your data using validation rules. Validation rules verify that the data a user enters in a record meets the standards you specify before the user can save the record. Before digging into the specific rules this insight will highlight, let’s briefly review what validation rules are. What are Validation Rules in Salesforce? Validation rules in Salesforce are used to enforce data quality and consistency by validating the data entered by users before it is saved to the database. These rules consist of expressions or formulas that check the data against specified, required criteria. A validation rule can contain a formula or expression that evaluates the data in one or more fields and returns a value of “True” or “False”. Validation rules also include an error message to display to the user when the rule returns a value of “True” due to an invalid value. After you have defined validation rules: You can specify the error message to display when a record fails validation and where to display it. For example, your error message can be “The close date must occur after today’s date.” You can choose to display it near a field or at the top of the page. Like all other error messages, validation rule errors display in red text and begin with the word “Error”. 5 Validation Rules Examples Here are some important validation rules to configure in your Salesforce org: 1. The Account Number Must Be Numeric To ensure that users enter only numeric values in the Account Number field of the Account object, configure the following validation rule: plaintextCopy codeOR( ISBLANK(AccountNumber), NOT(ISNUMBER(AccountNumber)) ) If a text value is entered in the Account Number field, an error message will appear, as shown below: 2. Annual Revenue Range To restrict accounts with an annual revenue greater than a specific number, use the following rule: plaintextCopy codeOR( AnnualRevenue < 0, AnnualRevenue > 1000000 ) If the annual revenue entered exceeds 1 million, an error will be triggered, as illustrated below: 3. Close Date Must Be a Future Date To prevent sales reps from selecting past dates in the Opportunity Close Date field, implement this validation rule: plaintextCopy codeCloseDate < TODAY() Entering a past date in the Opportunity Close Date field will result in the following error: 4. Prevent Open Cases from Being Reset to New To stop service agents from changing the status of open cases to “New,” configure the following validation rule: plaintextCopy codeAND( ISCHANGED(Status), NOT(ISPICKVAL(PRIORVALUE(Status), “New”)), ISPICKVAL(Status, “New”) ) Attempting to reset the status of open cases to “New” will produce this error message: 5. Blank Email or Mobile To ensure that at least one communication detail (email or mobile number) is available on a contact record, use this validation rule: plaintextCopy codeAND( ISBLANK(Email), ISBLANK(MobilePhone) ) Leaving both email and mobile fields empty will generate the following error: Conclusion These validation rules are essential for maintaining data quality in your Salesforce org. If you have additional validation rules in mind, please share them in the comments below so everyone can benefit. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

Read More
Salesforce Instance Refresh Maintenance

Salesforce Instance Refresh Maintenance

Preparing for Instance Refresh in Your Organization To support your organization’s ongoing growth, Salesforce occasionally performs an instance refresh, which involves upgrading the infrastructure in their data centers. After this maintenance, your instance will transition to a new data center, and its name will change. This process ensures we continue to deliver the high performance you’ve come to expect from Salesforce. Salesforce Instance Refresh Maintenance. Following these best practices will make this maintenance seamless. Below are answers to some frequently asked questions about instance refresh maintenance. Note: This document is for informational purposes only and does not constitute a legal or binding agreement. Salesforce may modify its policies and practices at its sole discretion. Frequently Asked Questions Salesforce Instance Refresh Maintenance Conclusion Staying informed and prepared for instance refreshes ensures a smooth transition and continued high performance of Salesforce. Follow best practices, adjust configurations as needed, and utilize the provided resources for a seamless 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

Read More
Sales Cloud Unlimited Plus Edition Call-out Features

Sales Cloud Unlimited Plus Edition Call-out Features

Sales Cloud Unlimited Plus Edition Call-out Features Sales Inspection Pipeline Pipeline Inspection gives sales teams a consolidated view of pipeline metrics, opportunities, week-to-week changes, AI-driven insights, close date predictions, and activity information. With this intelligence, sales teams can focus on the most important opportunities and forecast revenue more accurately. Einstein Converstion Insights Give sales teams insights about their customer calls and surface coachable moments. Managers and reps can play recordings of conversations to gain visibility into mentions of competitors, products, custom keywords, pricing discussions, and next steps. Sales leaders can extract conversation trends and visualize insights related to voice and video calls. Einstein Relationship Insights Explore interconnected relationships between people and companies on the web. Einstein Relationship Insights helps discover critical relationships by exploring disparate data sources, from unstructured web pages, and structured information like Salesforce records. Use these insights to prioritize contacts and accounts, enrich leads, and accelerate productivity of your sales team. With evidence documents that explain the relationship, sales teams can target the right people and companies, source more opportunities, and close deals. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

Read More
Gemma 2 Available

Gemma 2 is now available to researchers and developers

News from Google – Gemma 2 is now available! Introducing Gemma 2: Advanced AI for Everyone Expanding Access to AI AI has the potential to solve some of humanity’s most pressing issues, but this can only happen if everyone has the tools to build with it. Earlier this year, Google introduced Gemma, a family of lightweight, state-of-the-art open models based on the same research and technology used to create the Gemini models. They’ve since expanded the Gemma family with CodeGemma, RecurrentGemma, and PaliGemma, each offering unique capabilities for various AI tasks. These models are easily accessible through integrations with partners like Hugging Face, NVIDIA, and Ollama. Launching Gemma 2 Google is now officially releasing Gemma 2 to researchers and developers worldwide. Available in both 9 billion (9B) and 27 billion (27B) parameter sizes, Gemma 2 offers higher performance and greater efficiency than its predecessor, along with significant safety enhancements. The 27B model provides competitive alternatives to models more than twice its size, achieving performance levels that were only possible with proprietary models as recently as last December. This performance is now achievable on a single NVIDIA H100 Tensor Core GPU or TPU host, significantly reducing deployment costs. Setting a New Standard for Efficiency and Performance Gemma 2 is built on a redesigned architecture, engineered for exceptional performance and inference efficiency. Here’s what sets it apart: Designed for Developers and Researchers Gemma 2 is not only more powerful but also easier to integrate into your workflows: Supporting Responsible AI Development Google is committed to providing resources for responsible AI development, including their Responsible Generative AI Toolkit. The recently open-sourced LLM Comparator helps with in-depth evaluation of language models. You can now use its companion Python library to run comparative evaluations and visualize the results. Additionally, we are working on open-sourcing our text watermarking technology, SynthID, for Gemma models. When training Gemma 2, Google followed rigorous safety processes, filtering pre-training data and performing extensive testing and evaluation to identify and mitigate potential biases and risks. They publish their results on public benchmarks related to safety and representational harms. Projects Built with Gemma The first Gemma launch led to over 10 million downloads and numerous inspiring projects. For instance, Navarasa used Gemma to create a model rooted in India’s linguistic diversity. Looking Ahead Gemma 2 will enable even more ambitious projects, unlocking new levels of performance and potential in AI creations. We will continue to explore new architectures and develop specialized Gemma variants for a broader range of AI tasks and challenges, including an upcoming 2.6B parameter model designed to bridge the gap between lightweight accessibility and powerful performance. Getting Started Gemma 2 is now available in Google AI Studio, allowing you to test its full performance capabilities at 27B without hardware requirements. You can also download Gemma 2’s model weights from Kaggle and Hugging Face Models, with Vertex AI Model Garden coming soon. To support research and development, Gemma 2 is acessable free of charge through Kaggle or a free tier for Colab notebooks. First-time Google Cloud customers may be eligible for $300 in credits. Academic researchers can apply for the Gemma 2 Academic Research Program to receive Google Cloud credits to accelerate their research with Gemma 2. Applications are open now through August 9. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

Read More
what is a data lake

What is a Data Lake?

A data lake is a centralized repository that stores vast amounts of data, both structured and unstructured, in its native format, enabling organizations to store and analyze diverse data sources for various applications, including analytics, machine learning, and business intelligence.  Here’s a more detailed explanation: 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

Read More
Salesforce MuleSoft Innovations

Salesforce MuleSoft Innovations

Salesforce Introduces Innovations for MuleSoft At its MuleSoft Connect event today, Salesforce unveiled two significant innovations aimed at enhancing end-to-end artificial intelligence integration and ensuring AI experiences are future-proof. Salesforce MuleSoft Innovations. Key Innovations These advancements are designed to empower businesses to harness the full potential of AI, driving better outcomes and more dynamic customer interactions. Project requests are piling up for the majority of IT teams. Requests for these teams increased by an estimated 39% in the past year alone, which made it challenging for developers to meet the deadlines for work that was essential to the business. Thankfully, many operations can now be automated thanks to generative AI, which is one of the main reasons 86% of IT executives think the technology will eventually be heavily utilized in their companies. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

Read More
Generative AI Regulations

AI Manipulation

The Future of AI: Convenience and Risk Our lives are on the brink of being transformed by conversational AI agents designed to anticipate our needs, offer tailored information, and perform useful tasks on our behalf. These agents will rely on extensive personal data, including our interests, hobbies, backgrounds, aspirations, personality traits, and political views, all aimed at making our lives more convenient. What then will be the source of AI Manipulation? Advanced AI Agents: The Next Generation These AI agents are becoming increasingly sophisticated. OpenAI recently released GPT-4o, a next-generation chatbot capable of reading human emotions. It does this not only by analyzing the sentiment in written text but also by assessing voice inflections (if spoken to through a mic) and facial cues (if interacting via video). This rapid development signifies the future of computing. Google, for instance, announced Project Astra, an advanced seeing and talking responsive agent designed to interact conversationally while understanding its surroundings. This allows it to provide real-time interactive guidance and assistance. OpenAI’s Sam Altman has predicted that assistive agents will be the killer app for AI. He envisions a future where everyone has a personalized agent acting as a super-competent colleague, knowing everything about their life to take useful actions on their behalf. The Potential Risks-AI Manipulation While this sounds promising, significant risks accompany these advancements. As I wrote in VentureBeat last year, AI agents pose a risk to human agency through targeted manipulation. This risk is particularly acute as these agents become embedded in our mobile devices, which are gateways to our digital lives. These devices provide AI agents with a continuous flow of our personal information, enabling them to learn intimate details about us while filtering the content we receive. Such systems could become powerful tools for interactive manipulation. AI agents equipped with cameras and microphones will react to our environments without explicit prompts, potentially triggering targeted influences based on our activities and situations. Public Perception and Adoption Despite the creepy level of tracking and intervention, I predict that people will embrace this technology. These agents will be designed to make our lives easier, providing reminders, tutoring, and even social coaching. The competition among tech companies will drive rapid adoption, with individuals feeling disadvantaged if they do not use these features. By 2030, these technologies will likely be ubiquitous. The AI Manipulation Problem In my new book, “Our Next Reality,” I discuss how AI agents can empower us with mental superpowers while also serving as tools for persuasion. AI agents, designed for profit, will influence our thoughts and behaviors. They will be more effective than traditional content because they can engage us interactively, using sophisticated techniques based on extensive personal data. These agents will read our emotions with unparalleled precision, adapting their influence tactics in real-time. Without regulation, they could document our reactions to tailor their approaches, making them highly effective at persuasion. The agents’ appearances could also be optimized to maximize their impact on us personally. Feedback Control and the Need for Regulation The technical danger of AI agents lies in their feedback control capabilities. Given an “influence objective,” these agents can continuously adapt their strategies to maximize their impact on us. This ability is similar to heat-seeking missiles adjusting their path in real-time to hit a target. To mitigate this risk, regulators must impose strict limits on interactive conversational advertising, which is the gateway to more dangerous uses of these technologies. If unchecked, this could lead to an arms race among tech companies to develop the most effective conversational ads, ultimately driving misinformation and propaganda. The Urgent Need for Regulatory Action The time for policymakers to act is now. While traditional AI risks like generating misinformation at scale are significant, targeted interactive manipulation poses a far greater threat. Recent announcements from OpenAI and Google highlight the urgency for regulation. An outright ban or stringent limitations on interactive conversational advertising is a crucial first step. Without such measures, we risk allowing AI agents to become powerful tools of manipulation. Conclusion The future of AI holds both promise and peril. As conversational AI agents become integral to our daily lives, we must balance their benefits with the potential for abuse. Regulatory action is essential to ensure these technologies enhance our lives without compromising our autonomy. Louis Rosenberg, PhD, is an American technologist specializing in AI and XR. His new book, “Our Next Reality,” explores the impact of AI on society and is published by Hachette. He earned his PhD from Stanford, was a professor at California Polytechnic, and is currently CEO of Unanimous AI. This piece originally appeared in VentureBeat on 5/17/24. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

Read More
Deep Dive Summer 24 Release

Deep Dive Summer 24 Release

Deep Dive Summer 24 Release Get ready, Salesforce fans! The Summer ’24 release is here, and it’s like Christmas morning for tech geeks. We’re talking about new features, enhancements, and improvements that will make you wonder how you ever lived without them. This Tectonic insight is your ultimate guide to all the exciting updates, changes, and key considerations for this release. So hang on tight to your keyboards and let’s dive into the Christmas treat bag of goodies coming your way! Key Highlights – Deep Dive Summer 24 Release What’s New in Einstein AI? 1. Einstein for Flow Meet your new best friend for building Salesforce workflows, Salesforce Flow. Just describe what you need in plain English, and Einstein will whip up the workflow for you. For example, say “Notify sales reps when a lead converts,” and boom, it’s done. Automation just got a whole lot easier and way cooler. How to: Einstein for Flow makes complex processes feel like a walk in the park, letting you deliver solutions faster than you can say “workflow.” Considerations: 2. Einstein for Formulas No more tearing your hair out over formula syntax errors. Einstein for Formulas will not only tell you what’s wrong but also suggest fixes, saving you from endless hours of debugging. How to: Einstein for Formulas cuts down errors and speeds up formula creation, making your life exponentially easier. Like easier squared. Easier to the nth degree. Considerations: UI/UX Enhancements 1. Add New Custom Fields to Dynamic Forms-Enabled Pages Say goodbye to limitations! You can now add new custom fields directly to Dynamic Forms-enabled pages, aligning fields with your ever-changing business needs. Considerations: 2. Use Blank Spaces to Align Fields on Dynamic Forms-Enabled Pages Finally, a way to make your Dynamic Forms pages look neat and tidy with blank spaces for perfect alignment. Considerations: 3. Set Conditional Visibility for Individual Tabs in Lightning App Builder Now you can make specific tabs visible based on user profiles, record types, or other criteria. Customization just got a whole lot more precise. Considerations: 4. Create Rich Text Headings in Lightning App Builder Make your headings pop with bold, italic, and varied font sizes. Your Lightning pages are about to get a visual upgrade. Considerations: Flow Updates 1. Automation Lightning App A one-stop shop for managing and executing all your automation tools and processes. Considerations: 2. Lock and Unlock Records with Action Gain more control over your processes by locking records during critical stages and unlocking them when done. Considerations: 3. Check for Matching Records (Upsert) When Creating Records Avoid duplicates by checking for existing records before creating new ones. One can never have too many de-dupe tools. Considerations: 4. Transform Your Data in Flows (Generally Available) Now generally available, perform calculations, data transformations, and more with the Transform element in Flow Builder. Considerations: Admin Enhancements 1. Field History Tracking Manage tracked objects and fields more efficiently with a centralized page in “Setup.” Considerations: 2. See What’s Enabled in Permission Sets and Permission Set Groups (Generally Available) Enhanced permission set viewing improves visibility and control over security configurations. Considerations: 3. Get a Summary of User’s Permissions and Access Quickly view user permissions, public groups, and queues from the user’s detail page. Help and Training Community: Salesforce is simplifying Permission Set management by phasing out Profiles. Data Cloud Vector Database Vector search capabilities allow the creation of searchable “vector embeddings” from unstructured data, enhancing AI applications’ understanding of semantic similarities and context. Considerations: Deep Dive Summer 24 Release The Salesforce Summer ’24 release is packed with features designed to enhance your Salesforce experience. From a sleek new interface to powerful automation tools, enhanced analytics, and expanded integration options, this release aims to elevate workflow efficiency and data protection. Jump into the exciting updates, and let’s make automation simpler and more user-friendly together! 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

Read More
iDataMasker for Salesforce FinTech

iDataMasker for Salesforce FinTech

Safeguarding Data Privacy and Security in the Digital Age with iDataMasker In today’s digital transformation era, data privacy and security are paramount for organizations worldwide. As cloud-based platforms like Salesforce become integral to business operations, robust solutions to protect sensitive information are essential. iDataMasker for Salesforce FinTech powers security in Salesforce banking solutions. Introducing iDataMasker on Salesforce AppExchange IntellectAI has launched iDataMasker, an advanced data obfuscation application, now available on the Salesforce AppExchange marketplace. This innovative tool is set to revolutionize data security within Salesforce environments. Addressing the Threat of Data Breaches Data breaches and unauthorized access can lead to significant financial losses, reputational damage, and legal issues for organizations. With stringent data protection regulations such as GDPR and CCPA, companies must take proactive steps to ensure compliance. iDataMasker provides a comprehensive solution with advanced anonymization techniques to uphold the highest standards of data privacy and security. Key Features of iDataMasker Compliance and Data Security Compliance with industry regulations and standards is crucial for businesses. iDataMasker helps organizations achieve compliance effortlessly with its robust data masking capabilities. Whether handling personally identifiable information (PII), financial data, or healthcare records, iDataMasker ensures sensitive data remains protected and compliant. Enhancing Organizational Data Security By safeguarding sensitive information from unauthorized access and data breaches, iDataMasker enhances an organization’s overall data security posture. This instills confidence in both the company and its customers, knowing that their data is secure within the Salesforce environment. Usability and Operational Efficiency iDataMasker maintains data privacy while ensuring information remains usable for business processes. This allows companies to harness data-driven insights without compromising confidentiality. Rigorous data masking policies help maintain data integrity and foster a culture of responsible data management, strengthening data governance practices. Using obfuscated data that mirrors real-world scenarios, iDataMasker streamlines processes such as testing, training, and development. Organizations can work with realistic data without compromising confidentiality, leading to improved operational efficiency and faster time-to-market. Building Customer Trust Demonstrating a strong commitment to data privacy and security is vital for building customer trust and loyalty. By implementing iDataMasker, organizations can show their dedication to protecting customer data, fostering long-lasting relationships based on trust and transparency. Conclusion In today’s digital landscape, data privacy and security are non-negotiable. iDataMasker, developed by IntellectAI and available on the Salesforce AppExchange marketplace, offers a powerful solution to address these critical concerns. Leveraging advanced data masking techniques, flexible configuration options, seamless integration, and compliance readiness, iDataMasker empowers organizations to safeguard their sensitive data while fully embracing the potential of Salesforce. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

Read More
Summer 24 Marketing Cloud Engagement Rescheduled

Summer 24 Marketing Cloud Engagement Rescheduled

We have an update about the Summer ’24 Marketing Cloud release originally scheduled for June 22, 2024. Summer 24 Marketing Cloud Engagement Rescheduled. To ensure optimal performance, Salesforce has rescheduled the Summer ’24 release to June 29, 2024. How Can I Get More Information? For more information about the features in the Summer ’24 Marketing Cloud release, reference the release notes. Updates are provided on Trust. If you have questions, contact Customer Support by opening a case via Salesforce Help. Original Timeline-Summer 24 Marketing Cloud Engagement Rescheduled The Summer ’24 Marketing Cloud Engagement release occurs June 7, 2024 through June 28, 2024. Some features are made available to your instance within a week of the release. Get an exclusive, in-depth look at our new features by tuning into the Summer ’24 Marketing Cloud Engagement Release New Feature Overview. Join this webinar on June 27, 2024 at 2 PM EDT. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

Read More
Kaspersky Banned by US Government

Kaspersky Banned by US Government

This week, the U.S. Department of Commerce announced a prohibition on Kaspersky Lab Inc., the American arm of Russian antivirus software developer Kaspersky, and its affiliated companies from selling their products in the United States. Kaspersky Banned by US Government. The Biden administration’s new initiative to remove Kaspersky Lab’s antivirus software from U.S. tech infrastructure has been nearly a decade in the making. Why it Matters: Taking a measured approach to the ban — the most severe action yet against a foreign cybersecurity company — may help the U.S. government avoid the implementation challenges it has encountered in similar cases, according to experts. The Big Picture: The U.S. government is still struggling to eliminate Chinese telecommunications company Huawei’s equipment from American networks, nearly five years after initiating those actions. Additionally, lawmakers only recently passed legislation this year to force China-based ByteDance to divest its ownership in TikTok or face a ban, following about four years of regulatory deliberations. This law is currently being contested in court. Threat Level: Each of these companies is subject to laws in their home countries that could compel them to share U.S. customer data transmitted through their products. However, the U.S. government has not declassified specific instances of Russia or China forcing these companies to share information about Western customers. Context: Kaspersky’s antivirus product has been under scrutiny longer than both Huawei and TikTok, yet it took three administrations to implement a sales ban. Statements: “Kaspersky has done good research, they have a good product, but there was a concern that they had a sweet spot for the Russian government,” Lewis told Axios. Historical Context: Kaspersky first drew attention in Washington back in 2015 when the National Security Agency received a tip that the company may have collected information about U.S. hacking tools and shared it with the Kremlin. In 2017, Israeli government hackers found evidence that Kaspersky might have obtained the NSA hacking tools via an agency employee using the antivirus software on his home computer. In response, Kaspersky asserted it “does not have inappropriate ties to any government” and that it has been “caught in the middle of a geopolitical fight.” Effective July 20, the Bureau of Industry and Security of the Department of Commerce will enforce this ban, which also prevents the company from issuing new security updates to its existing customers starting September 29. Kaspersky users are really left no choice but to find an alternative antivirus solution. Kaspersky Banned by US Government doesn’t just mean the government can no longer use the software. Kaspersky Banned by US Government The decision stems from national security concerns. Following an extensive investigation, the Commerce Department determined that Kaspersky’s operations in the U.S. pose a risk to national security due to the Russian government’s offensive cyber capabilities and its potential influence over Kaspersky’s activities. The Department concluded that mitigation measures would not adequately address these risks. These accusations ultimately led to the U.S. government banning Kaspersky’s software on its networks, although it stopped short of halting new sales until last week. The Intrigue: The Department of Commerce recently acquired new authorities that facilitated the ban on Kaspersky’s antivirus sales, officials disclosed during a briefing. Between the Lines: Despite these concerns, U.S. critical infrastructure organizations continued to use Kaspersky’s antivirus and other cybersecurity products. State of Play: Experts note that unless Kaspersky completely restructured its organizational setup, changed leadership, or left Russia entirely, it had limited options to counter the impending ban. What’s Next: Homeland Security Secretary Alejandro Mayorkas told Axios that his department is equipped to help critical infrastructure organizations comply with Commerce’s implementation deadlines. The Commerce Department advises current users of Kaspersky software to transition to alternative vendors to mitigate potential cybersecurity vulnerabilities. While users who continue to utilize Kaspersky products will not face legal repercussions, they are advised to assume full responsibility for any associated cybersecurity risks. Secretary of Commerce Gina Raimondo emphasized the Department’s commitment to safeguarding U.S. national security and its citizens, stating, “Russia has repeatedly demonstrated its ability and intention to exploit Russian entities such as Kaspersky Lab to gather and weaponize sensitive U.S. information.” She underscored that this action, utilizing the Department’s ICTS authorities for the first time, underscores Commerce’s role in supporting national defense and sends a clear message to adversaries. Efforts to restrict or prohibit Kaspersky’s operations in the U.S. date back to 2017, when the Trump administration initially barred its software from use by most U.S. government agencies. Subsequently, in the same year, the Department of Homeland Security instructed federal agencies to discontinue the use of Kaspersky software. Despite legal challenges by Kaspersky, including appeals in court, these measures culminated in a permanent ban on the company’s products for government use in 2019. The comprehensive ban on Kaspersky from operating in the U.S. in 2024 coincides with heightened geopolitical tensions, particularly amidst Russia’s ongoing conflict in Ukraine. Responding to the ban, a Kaspersky spokesperson expressed disappointment, stating that the Department of Commerce’s decision seemed influenced by current geopolitical dynamics rather than an objective assessment of the company’s products and services. The company intends to explore all available legal avenues to protect its current operations and partnerships. Kaspersky Banned by US Government 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

Read More
Salesforce Carbon Removal Technology

Salesforce Carbon Removal Technology

Salesforce Bets Big on Carbon Removal Technology Salesforce has revealed three major climate efforts, including a $25 million investment to advance carbon removal, to hasten the transition to a fair and sustainable energy system, including Salesforce has revealed three major climate efforts, including Salesforce carbon removal technology. Salesforce, the cloud software giant based in San Francisco, has committed $25 million to carbon dioxide removal technology through Frontier. This funding aims to support carbon removal startups, demonstrating demand for their products and accelerating industry growth. This initial investment is part of a larger pledge Salesforce made in 2022 to purchase $100 million worth of carbon dioxide removal credits by 2030. “This industry needs to scale. It needs investment early on so that today’s technologies can become commercially available to all buyers by 2030 and beyond,” says Jamila Yamani, Salesforce’s lead for carbon removal. The Need for Carbon Removal While many climate strategies focus on reducing emissions, carbon removal seeks to pull carbon dioxide from the atmosphere through various methods. This emerging technology has garnered both interest and criticism due to its current high costs and developmental stage. For instance, direct air capture—a form of carbon removal—costs about $600 to $1,000 per ton of CO2 removed, according to a 2023 estimate by a Boston Consulting Group executive. To be widely adopted, costs need to fall below $200 per ton. Frontier’s Role Frontier, a subsidiary of fintech company Stripe, aims to accelerate carbon removal technology development by creating a market for it. “Carbon removal has no intrinsic value, so there isn’t a natural customer like with energy,” explains Nan Ransohoff, head of climate at Stripe and Frontier. This lack of natural customers means fewer startups in the space, and those that exist offer high rates due to the lack of scale. Frontier’s funds become revenue for startups, not equity investments. To date, Frontier has over $1 billion committed, with around $230 million in contracted offtake agreements with specific companies. Expanding the Market “The idea with Frontier was to send a loud demand signal to entrepreneurs, investors, and researchers that there is a market for carbon removal technologies, especially those in early stages,” says Ransohoff. “This is now over a billion dollars of revenue for carbon removal companies.” Salesforce joins other major companies in Frontier, including Google parent company Alphabet, Meta, Stripe, Shopify, and McKinsey Sustainability. Frontier’s portfolio includes technologies like Lithos, which uses basalt to capture CO2, and Heirloom, which employs limestone as a carbon sink. The Advantage of Frontier Though companies like Salesforce could establish their own offtake agreements, Ransohoff notes that pooling resources through Frontier sends a “louder signal” to the market and allows for better vetting of startups. “We have six PhDs full-time on staff dedicated to finding and vetting the best companies,” she says. Salesforce’s Comprehensive Climate Strategy Carbon removal is just one part of Salesforce’s broader climate change mitigation strategy. Yamani highlights that Salesforce also focuses on grid decarbonization, nature restoration, sustainable aviation, decentralized renewable energy, and more. The company aims to cut its absolute emissions by 50% by 2030 and reach “near zero by 2040.” “It’s an all-of-the-above approach where we’re leveraging all tools to build a portfolio that can help decarbonize the planet. It’s not a one-size-fits-all solution,” says Yamani. At the core, lies Salesforce Net Zero Cloud. In addition to the carbon removal commitment, Salesforce recently signed a 15-year virtual power purchase agreement with Qualitas Energy in Italy to expand its solar energy portfolio. “Corporate procurements can catalyze new renewable energy markets, providing clean electricity worldwide,” Yamani adds. With this move, Salesforce is demonstrating its commitment to achieving 100% renewable energy dependency and is making its first step into virtual power purchase agreements (VPPAs) in Europe. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

Read More
Slack Integrating AI Into Platform

Slack Integrating AI Into Platform

Slack’s CEO Denise Dresser announced that AI will soon be integrated into every aspect of the platform, enabling users to manage tasks and launch new projects without leaving the application. This announcement highlights a significant shift towards enhancing productivity and collaboration within Slack using advanced AI capabilities. Slack Integrating AI Into Platform. During a media session following her keynote at Salesforce’s World Tour event in Boston, Dresser outlined her vision for AI in Slack. Having taken on her role six months ago after years with Salesforce, she emphasized the integration of Slack with Salesforce’s Einstein Copilot. Acquired by Salesforce in late 2020, Slack aims to provide a unified experience for users by leveraging AI to manage both structured and unstructured data. The goal is to help users quickly find key conversations and turn them into actionable tasks and projects. Dresser noted the challenges in navigating chat histories and identifying important moments, which AI integration aims to address. Slack Integrating AI Into Platform “AI can significantly drive productivity,” Dresser said. “With Slack AI Search, Slack becomes your organization’s long-term memory. It allows users to easily find what they need through generative summaries, which was a major breakthrough for us.” Dresser highlighted the rapid adoption of AI and its integration into Slack’s functionality, leading to an evolution in skills such as prompt engineering and natural language processing. These advancements enable tasks like software creation without traditional coding methods. She pointed out the rapid growth in AI adoption, comparing it to the adoption rates of ChatGPT, mobile phones, and Facebook. Dresser believes this trend will continue as people experience productivity improvements with AI. AI will be embedded in various Slack features, including Canvas, Workflow, and Huddle, providing seamless assistance within the application. Users may not even realize they are interacting with AI, as it will naturally enhance Slack’s functionality. For instance, instead of manually searching through messages, AI will highlight the most important summaries. Dresser also mentioned the newly launched Slack Lists feature, which automatically captures and surfaces key parts of channel conversations. She stressed the importance of reducing the need to switch between different applications, which can drain time and productivity. “We have millions of people working in Slack; why leave Slack?” she said. “We wanted to integrate capabilities for tasks, lists, and projects directly into Slack, starting right within conversations.” In the future, Slack will also suggest relevant chat channels for project purposes, providing users with powerful insights and capabilities. Dresser noted that while only about a third of employees currently use AI-powered platforms, those who do report an average 81% increase in productivity by eliminating mundane tasks. As AI continues to be embedded into Slack and Salesforce tools, Dresser acknowledged the challenge of maintaining the platform’s beloved feel and integrity. “We’ve already integrated Slack, Sales Elevate, and Salesforce. Copilot’s integration will be excellent,” she said. “We have focused on preserving the unique Slack experience, even while enhancing it with new architectural integrations. Our goal is to ensure that Slack remains efficient and productive while staying true to its core identity.” 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

Read More
gettectonic.com