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Autonomous AI Service Agents

Autonomous AI Service Agents

Salesforce Set to Launch Autonomous AI Service Agents. Considering Tectonic only first wrote about Agentic AI in late June, its like Christmas in July! Salesforce is gearing up to introduce a new generation of customer service chatbots that leverage advanced AI tools to autonomously navigate through various actions and workflows. These bots, termed “autonomous AI agents,” are currently in pilot testing and are expected to be released later this year. Autonomous AI Service Agents Named Einstein Service Agent, these autonomous AI bots aim to utilize generative AI to understand customer intent, trigger workflows, and initiate actions within a user’s Salesforce environment, according to Ryan Nichols, Service Cloud’s chief product officer. By integrating natural language processing, predictive analytics, and generative AI, Einstein Service Agents will identify scenarios and resolve customer inquiries more efficiently. Traditional bots require programming with rules-based logic to handle specific customer service tasks, such as processing returns, issuing refunds, changing passwords, and renewing subscriptions. In contrast, the new autonomous bots, enhanced by generative AI, can better comprehend customer issues (e.g., interpreting “send back” as “return”) and summarize the steps to resolve them. Einstein Service Agent will operate across platforms like WhatsApp, Apple Messages for Business, Facebook Messenger, and SMS text, and will also process text, images, video, and audio that customers provide. Despite the promise of these new bots, their effectiveness is crucial, emphasized Liz Miller, an analyst at Constellation Research. If these bots fail to perform as expected, they risk wasting even more customer time than current technologies and damaging customer relationships. Miller also noted that successful implementation of autonomous AI agents requires human oversight for instances when the bots encounter confusion or errors. Customers, whether in B2C or B2B contexts, are often frustrated with the limitations of rules-based bots and prefer direct human interaction. It is annoying enough to be on the telephone repeating “live person” over and over again. It would be trafic to have to do it online, too. “It’s essential that these bots can handle complex questions,” Miller stated. “Advancements like this are critical, as they can prevent the bot from malfunctioning when faced with unprogrammed scenarios. However, with significant technological advancements like GenAI, it’s important to remember that human language and thought processes are intricate and challenging to map.” Nichols highlighted that the forthcoming Einstein Service Agent will be simpler to set up, as it reduces the need to manually program thousands of potential customer requests into a conversational decision tree. This new technology, which can understand multiple word permutations behind a service request, could potentially lower the need for extensive developer and data scientist involvement for Salesforce users. The pricing details for the autonomous Einstein Service Agent will be announced at its release. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Salesforce Enhances Nonprofit Cloud with Generative AI

Salesforce Enhances Nonprofit Cloud with Generative AI

Salesforce Enhances Nonprofit Cloud with Generative AI Capabilities On August 6, 2024, Salesforce Inc. announced that its Nonprofit Cloud platform is the latest in its suite to receive a boost from generative artificial intelligence (AI). This marks a significant milestone as it is the first integration of the Einstein 1 Platform within Salesforce’s Industry Cloud portfolio. The update introduces AI-powered tools designed to help nonprofits enhance operational efficiency, tailor donor engagement, and discover new funding opportunities. Notable features include AI-generated personalized gift proposals and concise summaries of program successes, grant details, donor histories, and more. This move signals Salesforce’s broader strategy to embed AI solutions across its industry-specific offerings, potentially transforming how various sectors leverage AI tools. The new features, such as AI-powered fundraising tools and program summaries, aim to help nonprofits navigate an increasingly challenging landscape by improving efficiency, personalizing donor engagement, and boosting fundraising efforts. Additionally, Salesforce launched Data Cloud for Nonprofits, a new product designed to unify and harmonize data, providing a comprehensive view of donors, volunteers, and program participants. Salesforce’s Nonprofit Cloud, introduced last year, is a specialized version of its renowned customer relationship management (CRM) platform. It offers all the essential CRM features alongside tools tailored for nonprofit organizations. These include donor management capabilities, fundraising tools, and tracking systems for program participation and outcomes. AI-Driven Outreach and Summaries The latest update integrates Salesforce’s Einstein 1 generative AI platform into Nonprofit Cloud, offering AI-powered tools to enhance operational efficiency. For instance, the new fundraising gift proposals feature uses generative AI to create personalized proposals based on an organization’s data, such as previous donor interactions and supported causes. This automation aims to reduce the time needed for nonprofits to solicit financial support. Salesforce Enhances Nonprofit Cloud with Generative AI Aligning With Four Pillars This development aligns with Salesforce’s “four-pillar” approach to enterprise AI success: By integrating the Einstein 1 Platform into Nonprofit Cloud, Salesforce is showcasing its broader AI strategy across its portfolio. Similar integrations could soon follow for other Industry Cloud offerings, potentially accelerating AI adoption in various sectors. Salesforce also introduced the Einstein Summaries feature, which is expected to add significant value by helping nonprofits better understand program success, enhance donor engagement, and simplify the grant review process through AI-generated summaries. Data Cloud for Nonprofits The new Data Cloud for Nonprofits merges structured and unstructured data from various sources into a unified model. This integration enables nonprofits to create comprehensive views of donors, volunteers, and program participants, ultimately helping them assess program performance and fundraising effectiveness. Salesforce unveiled three key innovations for Nonprofit Cloud, each addressing specific challenges in the nonprofit sector: Data Cloud for Nonprofits is available immediately, while the AI-powered fundraising gift proposals and summaries will be generally available this fall. Salesforce also introduced Nonprofit Cloud Einstein 1 Edition, which bundles Nonprofit Cloud, Data Cloud, Einstein, Experience Cloud, and Slack. Nonprofits Embracing AI According to Salesforce, nonprofits are eager for these AI capabilities. The sixth edition of its annual Nonprofit Trends Report highlights the growing need for diversified fundraising strategies and cost reduction. Lori Freeman, Global GM for Salesforce for Nonprofits, emphasized the transformative potential of these innovations: “We’re at a watershed moment for nonprofits. AI is not just another tech trend; it’s a game-changer that could help organizations overcome critical challenges like increased demand for services, rising costs, and donor attrition. By embedding AI directly into Nonprofit Cloud, we’re enabling organizations to streamline their workflows, gain deeper insights, and ultimately increase their impact – all while maintaining the highest standards of data security and trust.” Salesforce’s new Data Cloud for Nonprofits is available now, with AI-powered fundraising gift proposals and summaries features rolling out this fall. Early adopters have already reported positive experiences with the new capabilities. Julie Fleshman, CEO of the Pancreatic Cancer Action Network, praised Nonprofit Cloud for streamlining clinical trial finder and physician database initiatives, stating that Salesforce is helping advance their mission by connecting patients with specialized healthcare providers and relevant clinical trials. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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SearchGPT and Knowledge Cutoff

SearchGPT and Knowledge Cutoff

Tackling the Knowledge Cutoff Challenge in Generative AI In the realm of generative AI, a significant hurdle has been the issue of knowledge cutoff—where a large language model (LLM) only has information up until a specific date. This was an early concern with OpenAI’s ChatGPT. For example, the GPT-4o model that currently powers ChatGPT has a knowledge cutoff in October 2023. The older GPT-4 model, on the other hand, had a cutoff in September 2021. Traditional search engines like Google, however, don’t face this limitation. Google continuously crawls the internet to keep its index up to date with the latest information. To address the knowledge cutoff issue in LLMs, multiple vendors, including OpenAI, are exploring search capabilities powered by generative AI (GenAI). Introducing SearchGPT: OpenAI’s GenAI Search Engine SearchGPT is OpenAI’s GenAI search engine, first announced on July 26, 2024. It aims to combine the strengths of a traditional search engine with the capabilities of GPT LLMs, eliminating the knowledge cutoff by drawing real-time data from the web. SearchGPT is currently a prototype, available to a limited group of test users, including individuals and publishers. OpenAI has invited publishers to ensure their content is accurately represented in search results. The service is positioned as a temporary offering to test and evaluate its performance. Once this evaluation phase is complete, OpenAI plans to integrate SearchGPT’s functionality directly into the ChatGPT interface. As of August 2024, OpenAI has not announced when SearchGPT will be generally available or integrated into the main ChatGPT experience. Key Features of SearchGPT SearchGPT offers several features designed to enhance the capabilities of ChatGPT: OpenAI’s Challenge to Google Search Google has long dominated the search engine landscape, a position that OpenAI aims to challenge with SearchGPT. Answers, Not Links Traditional search engines like Google act primarily as indexes, pointing users to other sources of information rather than directly providing answers. Google has introduced AI Overviews (formerly Search Generative Experience or SGE) to offer AI-generated summaries, but it still relies heavily on linking to third-party websites. SearchGPT aims to change this by providing direct answers to user queries, summarizing the source material instead of merely pointing to it. Contextual Continuity In contrast to Google’s point-in-time search queries, where each query is independent, SearchGPT strives to maintain context across multiple queries, offering a more seamless and coherent search experience. Search Accuracy Google Search often depends on keyword matching, which can require users to sift through several pages to find relevant information. SearchGPT aims to combine real-time data with an LLM to deliver more contextually accurate and relevant information. Ad-Free Experience SearchGPT offers an ad-free interface, providing a cleaner and more user-friendly experience compared to Google, which includes ads in its search results. AI-Powered Search Engine Comparison Here’s a comparison of the AI-powered search engines available today: Search Engine Platform Integration Publisher Collaboration Ads Cost SearchGPT (OpenAI) Standalone prototype Strong emphasis Ad-free Free (prototype stage) Google SGE Built on Google’s infrastructure SEO practices, content partnerships Includes ads Free Microsoft Bing AI/Copilot Built on Microsoft’s infrastructure SEO practices, content partnerships Includes ads Free Perplexity AI Standalone Basic source attribution Ad-free Free; $20/month for premium You.com AI assistant with various modes Basic source attribution Ad-free Free; premium tiers available Brave Search Independent search index Basic source attribution Ad-free Free 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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Data Cloud and Genpact

Data Cloud and Genpact

Genpact (NYSE: G), a global professional services and solutions firm delivering outcomes that shape the future, announced today its integration with Salesforce Data Cloud to offer AI-driven industry-specific cloud solutions to transform operations and drive competitive advantages for enterprises. Genpact’s integration with Data Cloud will solve issues associated with disconnected and unstructured data, including poor quality, accessibility, and scalability. By combining Genpact’s deep industry knowledge in consumer goods, life sciences, manufacturing, banking, and insurance, with Data Cloud, businesses can improve decision-making, optimize operations, and drive growth. “To navigate an increasingly complex business environment, business leaders must unlock the full potential of their data assets – but they can only do so if they have a more holistic view,” said Riju Vashisht, Chief Growth Officer, Genpact. “Our partnership with Salesforce combines our data, technology, and AI expertise and a global talent pool with the Salesforce Data Cloud, helping businesses break down data silos, gain real-time insights, and deliver personalized experiences at scale.” Data Cloud offers a 360-degree view of the customer every team can act on by seamlessly connecting, unifying, and activating data that lives in silos across an organization. This allows Genpact to better enable automation, analytics, and personalized engagement. Genpact has also launched a comprehensive training program for its employees on Salesforce’s Einstein AI and Data Cloud platforms to enhance skills and boost innovation to stay ahead in the AI landscape.  “Data Cloud is the platform powering organizations’ data and AI driven engagement. Data Cloud seamlessly harmonizes and unifies structured and unstructured data to deliver integrated experiences,” said Rahul Auradkar, EVP and GM, Unified Data Services and Einstein, Salesforce. “The AI revolution is about data, Data Cloud in concert with Salesforce Einstein 1 platform drives predictive and generative AI, automation, and analytics for customer engagement.” Genpact’s collaboration with Salesforce underscores the company’s commitment to delivering high-quality solutions and achieving client satisfaction within the Salesforce ecosystem. Visit here for more information about Genpact and Salesforce. About Genpact Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. 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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Impact of EHR Adoption

Connected Care Technology

How Connected Care Technology Can Transform the Provider Experience Northwell Health is leveraging advanced connected care technologies, including AI, to alleviate administrative burdens and foster meaningful interactions between providers and patients. While healthcare technology has revolutionized traditional care delivery models, it has also inadvertently created barriers, increasing the administrative workload and distancing providers from their patients. Dr. Michael Oppenheim, Senior Vice President of Clinical Digital Solutions at Northwell Health, highlighted this challenge during the Connected Health 2024 virtual summit, using a poignant illustration published a decade ago in the Journal of the American Medical Association. The image portrays a physician focused on a computer with their back to a patient and family, emphasizing how technology can inadvertently shift attention away from patient care. Reimagining Technology to Enhance Provider-Patient Connections To prevent technology from undermining the patient-provider relationship, healthcare organizations must reduce the administrative burden and enhance connectivity between patients and care teams. Northwell Health exemplifies this approach by implementing innovative solutions aimed at improving access, efficiency, and communication. 1. Expanding Access Without Overloading Providers Connected healthcare technologies can dramatically improve patient access but may strain clinicians managing large patient panels. Dr. Oppenheim illustrated how physicians often need to review extensive patient histories for every interaction, consuming valuable time. Northwell Health addresses this challenge by employing mapping tools, propensity analyses, and matching algorithms to align patients with the most appropriate providers. By connecting patients to specialists who best meet their needs, providers can maximize their time and expertise while ensuring better patient outcomes. 2. Leveraging Generative AI for Chart Summarization Generative AI is proving transformative in managing the immense data volumes clinicians face. AI-driven tools help summarize patient records, extracting clinically relevant details tailored to the provider’s specialty. For instance, in a pilot at Northwell Health, AI successfully summarized complex hospitalizations, capturing the critical elements of care transitions. This “just right” approach ensures providers receive actionable insights without unnecessary data overload. Additionally, ambient listening tools are being used to document clinical consultations seamlessly. By automatically summarizing interactions into structured notes, physicians can focus entirely on their patients during visits, improving care quality while reducing after-hours charting. 3. Streamlining Team-Based Care Effective care delivery often involves a multidisciplinary team, including primary physicians, specialists, nurses, and social workers. Coordinating communication across these groups has historically been challenging. Northwell Health is addressing this issue by adopting EMR systems with integrated team chat functionalities, enabling real-time collaboration among care teams. These tools facilitate better care planning and communication, ensuring patients receive coordinated and consistent treatment. Dr. Oppenheim emphasized the importance of not only uniting clinicians in decision-making but also involving patients in discussions. By presenting clear, viable options, providers can enhance patient engagement and shared decision-making. The Path Forward: Balancing Technology with Provider Needs As healthcare continues its digital transformation, connected care technologies must prioritize clinician satisfaction alongside patient outcomes. Tools that simplify workflows, enhance communication, and reduce administrative burdens are crucial for fostering provider buy-in and ensuring the success of health IT initiatives. Northwell Health’s efforts demonstrate how thoughtfully implemented technologies can empower clinicians, strengthen patient relationships, and create a truly connected healthcare experience. Tectonic is here to help your facility plan. Content updated November 2024. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more 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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Box Acquires Alphamoon

Box Acquires Alphamoon

Box Inc. has acquired Alphamoon to enhance its intelligent document processing (IDP) capabilities and its enterprise knowledge management AI platform. Now that Box acquires Alphamoon, it will imr improves IDP. Box Acquires Alphamoon IDP goes beyond traditional optical character recognition (OCR) by applying AI to scanned paper documents and unstructured PDFs. While AI technologies like natural language processing (NLP), workflow automation, and document structure recognition have been around for some time, Alphamoon introduces generative AI (GenAI) into the mix, providing advanced capabilities. According to Rand Wacker, Vice President of AI Product Strategy at Box, the integration of GenAI helps not only with summarizing and extracting content from documents but also with recognizing document structures and categorizing them. GenAI works alongside existing OCR and NLP tools, making the digital conversion of paper documents more accurate. Box Acquires Alphamoon – Not LLM Although Box hasn’t acquired a large language model (LLM) outright, it has gained a toolkit that will enhance its Box AI platform. Box AI already uses retrieval-augmented generation to combine a user’s content with external LLMs, ensuring data security while training Box AI to better recognize and categorize documents. Alphamoon’s technology will further refine this process, enabling administrators to create tools more efficiently within the Box ecosystem. “For example, if Alphamoon’s OCR misreads or misextracts something, the system can adjust that specific part and feed it back into the LLM,” Wacker explained. “This approach is powered by an LLM, but it’s specifically trained to understand the documents it encounters, rather than relying on generic content from the internet.” Previewing an upcoming report from Deep Analysis, founder Alan Pelz-Sharpe shared that a survey of 500 enterprises across various industries, including financial services, manufacturing, healthcare, and government, revealed that 53% of enterprise documents still exist on paper. This highlights the need for Box users to have more precise tools to digitize contracts, letters, invoices, faxes, and other paper-based documents. Alphamoon’s generative AI-driven IDP solution allows for human oversight to ensure that attributes are correctly imported from the original documents. Pelz-Sharpe noted that IDP is challenging, but AI has made significant advancements, especially in handling imperfections like crumpled paper, coffee stains, and handwriting. He added that this acquisition addresses a critical gap for Box, which previously relied on partners for these capabilities. Box Buys Alphamoon – Integration Box plans to integrate Alphamoon’s tools into its platform later this year, with deeper integrations expected next year. These will include no-code app-building capabilities related to another acquisition, Crooze, as well as Box Relay’s forms and document generation tools. 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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Salesforce Query Builder

Salesforce Query Builder

Salesforce Query Builder Effortlessly Build SOQL Queries for Salesforce Objects with Salesforce Query Builder. The Salesforce Query Builder is a powerful Chrome extension that simplifies the creation of SOQL (Salesforce Object Query Language) queries for administrators, developers, and power users. This tool addresses the common challenge of building complex queries directly within your Salesforce environment, eliminating the need for external tools. Key Features and Benefits Seamless Integration: The Query Builder works directly within your Salesforce tabs, streamlining your workflow by removing the need to switch between apps or browser windows. This integration ensures better productivity without disruption. User-Friendly Interface: Its intuitive design makes query building easy for users at any skill level. A step-by-step process walks you through selecting objects, fields, and applying filters, reducing the complexities of SOQL syntax. Dynamic Object and Field Selection: The extension automatically fetches and displays available Salesforce objects and fields, saving time and minimizing errors by using up-to-date schema information. Real-Time Query Generation: As you choose objects, fields, and filters, the extension generates the SOQL query in real-time. This live feedback helps you understand the structure of the query, allowing for quick adjustments. Secure Authentication: Using your existing Salesforce session, the Query Builder ensures your credentials remain secure. It doesn’t store or transmit sensitive information, maintaining the integrity of your data. Flexible Filtering: Easily add WHERE clauses to filter data based on specific criteria, making it simple to focus on the data subsets you need. Copy to Clipboard: With one click, copy the generated SOQL query to your clipboard for easy use in other tools, development environments, or for sharing with teammates. Field Search: For objects with many fields, the search function helps you quickly locate the fields you need, reducing time spent scrolling. Lightweight and Fast: As a browser extension, the Query Builder is lightweight, requiring no installation on your Salesforce instance, ensuring fast performance without impacting your org. Cross-Domain Support: The tool supports multiple Salesforce domains (salesforce.com, force.com, cloudforce.com), providing a consistent experience across different environments. Why You Should Install It Time-Saving: The Query Builder dramatically reduces the time spent constructing SOQL queries, especially for complex objects or unfamiliar schemas. Error Reduction: By providing a visual interface, the tool minimizes syntax errors that can occur when manually writing SOQL queries. Learning Tool: Ideal for those new to SOQL, the Query Builder helps users understand query structure and best practices through its interactive design. Increased Productivity: With seamless Salesforce integration, you can generate queries quickly without disrupting your workflow. Accessibility: The tool empowers users who may not be comfortable writing SOQL manually, making advanced querying capabilities accessible to a wider range of Salesforce users. Consistency: It encourages consistent query-building practices across teams, making collaboration and sharing of queries easier. No Setup Required: As a browser extension, it requires no changes to your Salesforce org, making it perfect for admins or developers working across multiple orgs or with limited customization permissions. By installing the Salesforce Query Builder, you gain a valuable tool for your daily Salesforce tasks. Whether you’re a developer needing to prototype queries, an admin exploring data relationships, or a business analyst needing custom views, this tool simplifies interacting with your Salesforce data. With its combination of ease of use, security, and powerful features, it’s an essential addition to any Salesforce professional’s toolkit. 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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Understanding AI Agents

Understanding AI Agents

Understanding AI Agents: A Comprehensive Guide Artificial Intelligence (AI) has come a long way, offering systems that automate tasks and provide intelligent, responsive solutions. One key concept within AI is the AI agent—an autonomous system capable of perceiving its environment and taking actions to achieve specific goals. This guide explores AI agents, their types, working mechanisms, and how to build them using platforms like Microsoft Autogen and Google Vertex AI Agent Builder. It also highlights how companies like LeewayHertz and Markovate can assist in the development of AI agents. What is an AI Agent? AI agents are systems designed to interact with their environment autonomously. They process inputs, make decisions, and execute actions based on predefined rules or learned experiences. These agents range from simple rule-based systems to complex machine learning models that adapt over time. Types of AI Agents AI agents can be classified based on complexity and functionality: How AI Agents Work The working mechanism of an AI agent involves four key components: Architectural Blocks of an Autonomous AI Agent An autonomous AI agent typically includes: Building an AI Agent: The Basics Building an AI agent involves several essential steps: Microsoft Autogen: A Platform Overview Microsoft Autogen is a powerful tool for building AI agents, offering a range of features that simplify the development, training, and deployment process. Its user-friendly interface allows developers to create custom agents quickly. Key Steps to Building AI Agents with Autogen: Benefits of Autogen: Vertex AI Agent Builder: Enabling No-Code AI Development Google’s Vertex AI Agent Builder simplifies AI agent development through a no-code platform, making it accessible to users without extensive programming experience. Its drag-and-drop functionality allows for quick and efficient AI agent creation. Key Features of Vertex AI Agent Builder: Conclusion AI agents play a critical role in automating decision-making and performing tasks independently. Platforms like Microsoft Autogen and Google Vertex AI Agent Builder make the development of these agents more accessible, providing powerful tools for both novice and experienced developers. By leveraging these technologies and partnering with companies like LeewayHertz and Markovate, businesses can build custom AI agents that enhance automation, decision-making, and operational efficiency. Whether you’re starting from scratch or looking to integrate AI capabilities into your existing systems, the right tools can make the process seamless and effective. How do you think these tools stack up next to Salesforce AI Agents? Comment below. Content updated October 2024. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Read AI Salesforce Integration

Read AI Salesforce Integration

Last month, Read AI announced the launch of its integration with HubSpot, and today the company continues its momentum in the CRM space by announcing support for 1-click connections to Salesforce. Salesforce, the leading name in CRM software, is widely adopted across virtually every industry. Read AI users can now sync their Meeting Reports directly to corresponding records within their Salesforce instance, either automatically or manually. After a meeting measured by Read AI, this integration will automatically connect any Contacts, Leads, Accounts, and Opportunities within Salesforce that are related to the external participants who attended the call. Read AI will sync Meeting Report summaries, action items, key questions, and other meeting data directly to those records, providing a comprehensive view of meeting content and progress without leaving Salesforce. This eliminates the need to spend hours updating opportunities. With Read AI, Opportunities are more up-to-date and comprehensive than anything manually written. The integration operates in the background, automatically. For those who prefer not to automatically sync Meeting Reports into Salesforce, Automatic Syncing can be turned off in Integration Settings, allowing individual push of Meeting Reports to Salesforce. To ensure historical Meeting Reports are synced to Salesforce, users can backfill Meeting Report data with one click using the ‘Sync past meetings’ button in Salesforce Integration Settings. For individual sellers, this integration removes the need to block out time to update contacts and opportunities, as Read AI automatically makes those updates. Sales Managers will no longer need to chase down sellers to update their opportunities in Salesforce, allowing more focus on sales strategy with the most complete and timely insights from SFDC. This integration promises a significant boost in productivity for users of both Read AI and Salesforce. Users no longer need to take notes during important sales calls and can easily find meeting details within Salesforce. Read AI empowers sellers to close deals while handling the administrative tasks to ensure opportunities are accurate and updated. 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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AI in scams

AIs Role in Scams

How Generative AI is Supporting the Creation of Lures & Scams A Guide for Value Added Resellers Copyright © 2024 Gen Digital Inc. All rights reserved. Avast is part of Gen™. A long, long time ago, I worked for an antivirus company who has since been acquired by Avast.  Knowing many of the people involved in this area of artificial intelligence, I pay attention when they publish a white paper. AI in scams is something we all should be concerned about. I am excited to share it in our Tectonic Insights. Executive Summary The capabilities and global usage of both large language models (LLMs) and generative AI are rapidly increasing. While these tools offer significant benefits to the general public and businesses, they also pose potential risks for misuse by malicious actors, including the misuse of tools like OpenAI’s ChatGPT and other GPTs. This document explores how the ChatGPT brand is exploited for lures, scams, and other social engineering threats. Generative AI is expected to play a crucial role in the cyber threat world challenges, particularly in creating highly believable, multilingual texts for phishing and scams. These advancements provide more opportunities for sophisticated social engineering by even less sophisticated scammers than ever before. Conversely, we believe generative AI will not drastically change the landscape of malware generation in the near term. Despite numerous proofs of concept, the complexity of generative AI methods still makes traditional, simpler methods more practical for malware creation. In short, the good may not outweigh the bad – just yet. Recognizing the value of generative AI for legitimate purposes is important. AI-based security and assistant tools with various levels of maturity and specialization are already emerging in the market. As these tools evolve and become more widely available, substantial improvements in their capabilities are anticipated. AI-Generated Lures and Scams AI-generated lures and scams are increasingly prevalent. Cybercriminals use AI to create lures and conduct phishing attempts and scams through various texts—emails, social media content, e-shop reviews, SMS scams, and more. AI improves the credibility of social scams by producing trustworthy, authentic texts, eliminating traditional phishing red flags like broken language and awkward addressing. These advanced threats have exploited societal issues and initiatives, including cryptocurrencies, Covid-19, and the war in Ukraine. The popularity of ChatGPT among hackers stems more from its widespread recognition than its AI capabilities, making it a prime target for investigation by attackers. How is Generative AI Supporting the Creation of Lures and Scams? Generative AI, particularly ChatGPT, enhances the language used in scams, enabling cybercriminals to create more advanced texts than they could otherwise. AI can correct grammatical errors, provide multilingual content, and generate multiple text variations to improve believability. For sophisticated phishing attacks, attackers must integrate the AI-generated text into credible templates. They can purchase functional, well-designed phishing kits or use web archiving tools to replicate legitimate websites, altering URLs to phish victims. Currently, attackers need to manually build some aspects of their attempts. ChatGPT is not yet an “out-of-the-box” solution for advanced malware creation. However, the emergence of multi-type models, combining outputs like images, audio, and video, will enhance the capabilities of generative AI for creating believable phishing and scam campaigns. Malvertising Malvertising, or “malicious advertising,” involves disseminating malware through online ads. Cybercriminals exploit the widespread reach and interactive nature of digital ads to distribute harmful content. Instances have been observed where ChatGPT’s name is used in malicious vectors on platforms like Facebook, leading users to fraudulent investment portals. Users who provide personal information become vulnerable to identity theft, financial fraud, account takeovers, and further scams. The collected data is often sold on the dark web, contributing to the broader cybercrime ecosystem. Recognizing and mitigating these deceptive tactics is crucial. YouTube Scams YouTube, one of the world’s most popular platforms, is not immune to cybercrime. Fake videos featuring prominent figures are used to trick users into harmful actions. This strategy, known as the “Appeal to Authority,” exploits trust and credibility to phish personal details or coerce victims into sending money. For example, videos featuring Elon Musk discussing OpenAI have been modified to scam victims. A QR code displayed in the video redirects users to a scam page, often a cryptocurrency scam or phishing attempt. As AI models like Midjourney and DALL-E mature, the use of fake images, videos, and audio is expected to increase, enhancing the credibility of these scams. Typosquatting Typosquatting involves minor changes in URLs to redirect users to different websites, potentially leading to phishing attacks or the installation of malicious applications. An example is an Android app named “Open Chat GBT: AI Chat Bot,” where a subtle URL alteration can deceive users into downloading harmful software. Browser Extensions The popularity of ChatGPT has led to the emergence of numerous browser extensions. While many are legitimate, others are malicious, designed to lure victims. Attackers create extensions with names resembling ChatGPT to deceive users into downloading harmful software, such as adware or spyware. These extensions can also subscribe users to services that periodically charge fees, known as fleeceware. For instance, a malicious extension mimicking “ChatGPT for Google” was reported by Guardio. This extension stole Facebook sessions and cookies but was removed from the Chrome Web Store after being reported. Installers and Cracks Malicious installers often mimic legitimate tools, tricking users into installing malware. These installers promise to install ChatGPT but instead deploy malware like NodeStealer, which steals passwords and browser cookies. Cracked or unofficial software versions pose similar risks, hiding malware that can steal personal information or take control of computers. This particular method of installing malware has been around for decades. However the usage of ChatGPT and other free to download tools has given it a resurrection. Fake Updates Fake updates are a common tactic where users are prompted to update their browser to access content. Campaigns like SocGholish use ChatGPT-related articles to lure users into downloading remote access trojans (RATs), giving attackers control over infected devices. These pages are often hosted on vulnerable WordPress sites or sites with

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July Changes to Preference Center

July Changes to Preference Center

Privacy Center Update What’s the July Changes to Preference Center? Starting in July 2024, the Privacy Center app within the core platform now supports retention features. July Changes to Preference Center introduces a new Hyperforce-based retention store, allows for retention testing in sandboxes, and offers the option to mask data during retention. The new Hyperforce-based retention store can be provisioned using the core Privacy Center app, eliminating the need for Heroku or the Privacy Center managed package. The rollout of this new retention capability will be phased across regions, initially launching in Germany, Australia, and America East. You can spin up a retention store once it’s available in your region. For more details, refer to the Privacy Center’s Hyperforce-Based Retention Store FAQ. What action do I need to take? What if I don’t take any action? You can continue using the legacy Privacy Center app (managed package version) for data retention, but it will no longer be enhanced and will remain in maintenance mode. Heroku can still be used for managing data retention policies until the end of your contract. Where can I learn more about this upcoming change? Review the Privacy Center’s Hyperforce-Based Retention Store FAQ for more information. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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ChatGPT Word Choices

ChatGPT Word Choices

Why Does ChatGPT Use the Word “Delve” So Much? Mystery Solved. The mystery behind ChatGPT’s frequent use of the word “delve” (one of the 10 most common words it uses) has finally been unraveled, and the answer is quite unexpected. Why ChatGPT Word Choices are repetitive. While “delve” and other words like “tapestry” aren’t common in everyday conversations, ChatGPT seems to favor them. You may have noticed this tendency in its outputs. The sudden rise in the use of “delve” in medical papers from March 2024, coincides with the first full year of ChatGPT’s widespread use. “Delve,” along with phrases like “as an AI language model…,” has become a hallmark of ChatGPT’s language, almost a giveaway that a text is AI-generated. But why does ChatGPT overuse “delve”? If it’s trained on human data, how did it develop this preference? Is it emergent behavior? And why “delve” specifically? A Guardian article, “How Cheap, Outsourced Labour in Africa is Shaping AI English,” provides a clue. The key lies in how ChatGPT was built. Why “Delve” So Much? The overuse of “delve” suggests ChatGPT’s language might have been influenced after its initial training on internet data. After training on a massive corpus of data, an additional supervised learning step is used to align the AI’s behavior. Human annotators evaluate the AI’s outputs, and their feedback fine-tunes the model. Here’s a summary of the process: This iterative process involves human feedback to improve the AI’s responses, ensuring it stays aligned and useful. However, this feedback is often provided by a workforce in the global south, where English-speaking annotators are more affordable. In Nigeria, “delve” is more commonly used in business English than in the US or UK. Annotators from these regions provided examples using their familiar language, influencing the AI to adopt a slightly African English style. This is an example of poor sampling, where the evaluators’ language differs from that of the target users, introducing a bias in the writing style. This bias likely stems from the RLHF step rather than the initial training. ChatGPT’s writing style, with or without “delve,” is already somewhat robotic and easy to detect. Understanding these potential pitfalls helps us avoid similar issues in future AI development. Making ChatGPT More Human-Like To make ChatGPT sound more human and avoid overused words like “delve,” consider these Prompt Engineering approaches: These methods can be time-consuming. Ideally, a quick, reliable tool, like a Chrome extension, would streamline this process. If you’ve found a solution or a reliable tool for this issue, share it below in the comments. This is a widespread challenge that many users face. 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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July Changes to Marketing Cloud

July Changes to Marketing Cloud Growth

You now have access to the new Marketing app, which includes the latest version of Marketing Cloud Growth. This new app replaces the previous Marketing app, now named Marketing (Original). July Changes to Marketing Cloud Growth. What do I need to do – July Changes to Marketing Cloud? To access the new Marketing app, open the App Launcher and select Marketing. For all accounts provisioned prior to Summer ’24, the new Marketing app will be created and it will maintain most of the settings from the Marketing (Original) app. It includes access to all your campaigns and reports. However, you must reconfigure the user access and recreate the customizations that you want to keep. After finishing the setup of the new Marketing app, remove user access to the Marketing (Original) app to avoid using outdated tools. The new Marketing app retains most settings from the Marketing (Original) app, including access to all your campaigns and reports. However, you will need to reconfigure user access and recreate any customizations you want to keep. Learn more in Help. After setting up the new Marketing app, remove user access to the Marketing (Original) app to avoid using outdated tools. Why is this change happening? Beginning Summer ’24 release, Marketing Cloud Growth customers will have access to a new Marketing app. This app replaces the previous Marketing app for Marketing Cloud Growth, which will be renamed Marketing (Original). Newly provisioned accounts will have the Marketing app only.We’ve improved the back end to provide a more streamlined user experience. What if I don’t take action? We will eventually stop supporting the Marketing (Original) app, which may impact your business. Further details will be announced later. How can I get more information? If you have questions regarding the changes to the Marketing app, contact Salesforce Customer Support. 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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Ask ChatGPT Vision Action

Ask ChatGPT Vision Action

Enhance Your Workflow with the Ask ChatGPT Vision Action Extend the use of artificial intelligence in your daily operations by leveraging the Ask ChatGPT Vision action. This feature allows ChatGPT to analyze images attached to your Salesforce records and apply its insights directly to your workflows. The action is compatible with ChatGPT models that accept image input. How to Use the Ask ChatGPT Vision Action: Create a Macro for Repeated Use: To streamline usage, create a Macro with preconfigured prompts and result fields. Assign the macro to users or profiles to ensure consistent use of the Ask ChatGPT Vision action. Examples: Object Prompt Result Field Case Determine if the image content matches this description: “{!Description}”. Answer “Yes” or “No”. Custom picklist field ‘Attachment matches description’ with values Yes and No Use Cases: For example, use the Ask ChatGPT Vision action to verify if attachments in Cases align with the case’s subject and description. If an attachment matches, automatically route the case to a support agent; otherwise, flag it for review. Expand Your Options: For more flexibility, you can create custom classes and actions to integrate additional data sources or automate further tasks based on ChatGPT’s responses. Explore options like sending emails, creating tasks, or updating records with the information retrieved. For more details on using ChatGPT and managing data privacy, please refer to OpenAI’s website. 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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