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Flow and Validation Rules
15Sep

Flow and Validation Rules

Salesforce Flow and Validation Rules are essential tools that every Salesforce admin frequently uses. In certain scenarios, you may need to create Flows or Validation Rules specifically for the Salesforce mobile app or exclude them from it. Additionally, you might want to implement different logic depending on whether the user is on the mobile app or desktop. To achieve this, you can configure a flow that behaves differently based on the user’s device. However, keep in mind that this approach only works in screen flows, as it involves a local action, and local actions are supported only within screen flows. It’s also important to note that this method cannot be applied to Validation Rules, as actions are not compatible with them. Using the User Global Variable to Detect Mobile App Usage Global variables in Salesforce provide general information about the current user and your organization. One particularly useful global variable, $User, stores data like the user’s ID, email, Profile ID, and more. A lesser-known but valuable property, $User.UIThemeDisplayed, identifies the Salesforce interface the user sees. This variable enables you to design Flows and Validation Rules specifically for the Salesforce mobile app or desktop experience. The $User.UIThemeDisplayed variable can be used to detect the CSS theme applied to Salesforce web pages for a user. Below are the possible values: To detect if a user is on the Salesforce mobile app, check if $User.UIThemeDisplayed equals ‘Theme4t’. This allows you to apply different logic depending on the theme being used, such as differentiating between Salesforce Classic and Lightning Experience. Examples By leveraging the $User.UIThemeDisplayed global variable, you can customize the behavior of your flows and validation rules, ensuring a tailored user experience on the Salesforce mobile app or desktop. 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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September 15, 2024in Salesforce
More Cool AI Tools
15Sep

More Cool AI Tools

In today’s fast-paced digital world, AI is no longer a luxury but a necessity for maximizing work efficiency. With the right AI tools, businesses and individuals can automate tasks, enhance creativity, improve customer engagement, and streamline operations. Here’s a breakdown of the Top 21 AI tools you should explore to elevate your productivity and stay ahead of the curve! 1️⃣ Video CreationSynthesiaWebsite: SynthesiaAn AI video creation tool that lets you generate high-quality videos from text. Ideal for creating marketing, training, and explainer videos quickly and professionally. VeedWebsite: VeedVeed helps you create, edit, and share professional videos with ease, incorporating AI to streamline the process of adding captions, effects, and edits. SubmagicWebsite: SubmagicSubmagic uses AI to automatically generate subtitles for videos, improving accessibility and viewer engagement. 2️⃣ Customer Relationship Management (CRM)HubSpotWebsite: HubSpotHubSpot’s AI-powered CRM system streamlines customer interactions, helping businesses improve customer satisfaction, sales, and retention. FreshworksWebsite: FreshworksThis tool offers AI-driven solutions for customer service, sales, and marketing, helping companies improve relationships and resolve issues faster. HighLevelWebsite: HighLevelHighLevel integrates AI to improve customer management processes, including lead nurturing and campaign tracking. 3️⃣ Website Design and BrandingWizard AIWebsite: Wizard AIA design tool that helps you create stunning visuals and branding for your website using AI. Whether you’re looking to revamp your website or create a logo, Wizard AI makes it simple. LookaWebsite: LookaLooka offers AI-powered logo creation, making it easy for businesses and startups to design professional logos in just minutes. TurbologoWebsite: TurbologoTurbologo is another intuitive logo maker that uses AI to generate custom logo designs based on your business type and preferences. 4️⃣ Project Management and CollaborationMondayWebsite: MondayAn all-in-one project management platform that uses AI to automate workflows, track progress, and enhance team collaboration. ClickUpWebsite: ClickUpClickUp leverages AI to provide real-time project insights, task automation, and comprehensive team collaboration tools for businesses of all sizes. Golf AIWebsite: Golf AIGolf AI helps golfers refine their game with AI insights, but its technology can also be applied in the professional world, improving focus, strategy, and decision-making in various projects. 5️⃣ Marketing and Lead GenerationPipedriveWebsite: PipedriveA popular tool that helps businesses track leads and automate marketing workflows, making lead generation more efficient and scalable. Apollo AIWebsite: Apollo AIApollo enables businesses to automate sales and lead generation by using AI to find and reach potential customers, helping you connect with decision-makers faster. EnvizWebsite: EnvizThis platform uses AI to provide intelligent data analysis and insights, allowing businesses to fine-tune their marketing strategies. 6️⃣ AI for Audio and VoiceMurf AIWebsite: Murf AIAn AI voice generator that converts text into lifelike voiceovers. Ideal for creators, marketers, and educators who want to generate high-quality audio content. SpeechifyWebsite: SpeechifySpeechify turns written text into audio, helping users consume content faster. It’s perfect for multitaskers and individuals with reading disabilities. ElevenLabsWebsite: ElevenLabsElevenLabs offers state-of-the-art AI technology to generate and clone natural-sounding voices, ideal for podcasts, audiobooks, and interactive audio experiences. 🌐 Explore More AI-Powered ToolsUnlock your productivity potential with these top AI tools. Whether you’re managing projects, creating content, or building customer relationships, AI is your key to efficiency. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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September 15, 2024in AI Tools, Data, Technology
GPT-o1 GPT5 Review
15Sep

GPT-o1 GPT5 Review

OpenAI has released its latest model, GPT-5, also known as Project Strawberry or GPT-o1, positioning it as a significant advancement in AI with PhD-level reasoning capabilities. This new series, OpenAI-o1, is designed to enhance problem-solving in fields such as science, coding, and mathematics, and the initial results indicate that it lives up to the anticipation. Key Features of OpenAI-o1 Enhanced Reasoning Capabilities Safety and Alignment Targeted Applications Model Variants Access and Availability The o1 models are available to ChatGPT Plus and Team users, with broader access expected soon for ChatGPT Enterprise users. Developers can access the models through the API, although certain features like function calling are still in development. Free access to o1-mini is expected to be provided in the near future. Reinforcement Learning at the Core The o1 models utilize reinforcement learning to improve their reasoning abilities. This approach focuses on training the models to think more effectively, improving their performance with additional time spent on tasks. OpenAI continues to explore how to scale this approach, though details remain limited. Major Milestones The o1 model has achieved impressive results in several competitive benchmarks: Chain of Thought Reasoning OpenAI’s o1 models employ the “Chain of Thought” prompt engineering technique, which allows the model to think through problems step by step. This method helps the model approach complex problems in a structured way, similar to human reasoning. Key aspects include: While the o1 models show immense promise, there are still some limitations, which have been covered in detail elsewhere. However, based on early tests, the model is performing impressively, and users are hopeful that these capabilities are as robust as advertised, rather than overhyped like previous projects such as SORA or SearchGPT by OpenAI. 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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September 15, 2024in Enterprise
Slack Personality Quiz
15Sep

Slack Personality Quiz

Slack has introduced a personality quiz, inspired by BuzzFeed-style formats, to understand how modern office workers interact with AI tools. Based on a survey of 5,000 full-time desk workers across six countries, the quiz categorizes users into five distinct groups based on their engagement with generative AI. From “The Rebel” to “The Maximalist,” these personas are designed to help business leaders organize teams more effectively by understanding how employees perceive and utilize AI. According to Christina Janzer, Slack’s SVP of research and analytics, the personas reflect the diverse ways workers are engaging with AI, emphasizing that there isn’t a one-size-fits-all approach. Interestingly, Slack’s recent survey revealed that while executive leadership is pushing AI adoption, two-thirds of workers have yet to use AI tools in their daily tasks. Among AI users, there’s a split between “Maximalists” (30% of respondents), who actively use AI and advocate for its benefits, and “The Underground” (20%), who also use AI regularly but more discreetly. For non-users, the personas include “Rebels” (19%), who avoid AI and remain skeptical, “Superfans” (16%), who admire AI advancements but haven’t adopted it themselves, and “Observers” (16%), who cautiously watch from the sidelines. Janzer noted demographic differences, such as a higher proportion of women and older individuals in the Rebel category, while Maximalists and Underground users tend to be younger men. Janzer emphasized that while these personas highlight current attitudes, they aren’t permanent. Businesses should take these insights into account when rolling out AI projects, ensuring they address the varied sentiments across their workforce. 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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September 15, 2024in Generative AI, Salesforce Slack
Salesforce Advanced AI Models
14Sep

Salesforce Advanced AI Models

Salesforce has introduced two advanced AI models—xGen-Sales and xLAM—designed to enhance its Agentforce platform, which seamlessly integrates human agents with autonomous AI for greater business efficiency. xGen-Sales, a proprietary AI model, is tailored for sales tasks such as generating customer insights, summarizing calls, and managing pipelines. By automating routine sales activities, it enables sales teams to focus on strategic priorities. This model enhances Agentforce’s capacity to autonomously handle customer interactions, nurture leads, and support sales teams with increased speed and precision. The xLAM (Large Action Model) family introduces AI models designed to perform complex tasks and trigger actions within business systems. Unlike traditional Large Language Models (LLMs), which focus on content generation, xLAM models excel in function-calling, enabling AI agents to autonomously execute tasks like initiating workflows or processing data without human input. These models vary in size and capability, from smaller, on-device versions to large-scale models suitable for industrial applications. Salesforce AI Research developed the xLAM models using APIGen, a proprietary data-generation pipeline that significantly improves model performance. Early xLAM models have already outperformed other large models in key benchmarks. For example, the xLAM-8x22B model ranked first in function-calling tasks on the Berkeley Leaderboards, surpassing even larger models like GPT-4. These AI innovations are designed to help businesses scale AI-driven workflows efficiently. Organizations adopting these models can automate complex tasks, improve sales operations, and optimize resource allocation. The non-commercial xLAM models are available for community review on Hugging Face, while proprietary versions will power Agentforce. xGen-Sales has completed its pilot phase and will soon be available for general use. 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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September 14, 2024in Agentforce Platform
New Slack Innovations
13Sep

New Slack Innovations

Salesforce Unveils Innovative Slack Updates Ahead of its Dreamforce conference in San Francisco later this week, Salesforce has introduced several groundbreaking updates to Slack, designed to consolidate company knowledge, data, agents, apps, and automation into a unified, agent-powered work operating system. New Slack Innovations. The latest enhancements to Slack include: Denise Dresser, CEO of Slack, commented on the updates: “Slack’s agent-powered work operating system is transforming productivity by seamlessly integrating purpose-built AI, customer data, and automation into the everyday workflow. This innovation isn’t just about improving how work gets done—it’s about unlocking new levels of productivity to drive business success across every team and department. In a complex work environment, true productivity demands a future-ready work operating system, and Slack is leading the way.” For more information on these updates and how they can benefit your organization, stay tuned for further details from Dreamforce. 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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September 13, 2024in Data
Large and Small Language Models
13Sep

Large and Small Language Models

Understanding Language Models in AI Language models are sophisticated AI systems designed to generate natural human language, a task that is far from simple. These models operate as probabilistic machine learning systems, predicting the likelihood of word sequences to emulate human-like intelligence. In the scientific realm, the focus of language models has been twofold: While today’s cutting-edge AI models in Natural Language Processing (NLP) are impressive, they have not yet fully passed the Turing Test—a benchmark where a machine’s communication is indistinguishable from that of a human. The Emergence of Language Models We are approaching this milestone with advancements in Large Language Models (LLMs) and the promising but less discussed Small Language Models (SLMs). Large Language Models compared to Small Language Models LLMs like ChatGPT have garnered significant attention due to their ability to handle complex interactions and provide insightful responses. These models distill vast amounts of internet data into concise and relevant information, offering an alternative to traditional search methods. Conversely, SLMs, such as Mistral 7B, while less flashy, are valuable for specific applications. They typically contain fewer parameters and focus on specialized domains, providing targeted expertise without the broad capabilities of LLMs. How LLMs Work Comparing LLMs and SLMs Choosing the Right Language Model The decision between LLMs and SLMs depends on your specific needs and available resources. LLMs are well-suited for broad applications like chatbots and customer support. In contrast, SLMs are ideal for specialized tasks in fields such as medicine, law, and finance, where domain-specific knowledge is crucial. Large and Small Language Models’ Roles Language models are powerful tools that, depending on their size and focus, can either provide broad capabilities or specialized expertise. Understanding their strengths and limitations helps in selecting the right model for your use case. 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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September 13, 2024in Salesforce
ChatGPT Memory Announced
12Sep

ChatGPT Memory Announced

We’re testing memory with ChatGPT to make your experience more seamless by saving important details across chats, so you won’t have to repeat yourself. This feature helps make future conversations more helpful. You’re fully in control of ChatGPT’s memory. You can ask it to remember something, view what it recalls, and even delete specific memories either conversationally or through settings. Memory can also be turned off completely. This week, we’re rolling out memory to a small group of free and Plus users to gather feedback. Broader rollout plans will be shared soon. How Memory Works As you interact with ChatGPT, it can remember key details from your conversations, improving the quality of future responses. For instance: You’re In Control You can turn memory off at any time (Settings > Personalization > Memory). With memory off, ChatGPT won’t store or use any memories. To delete specific memories, simply ask ChatGPT to forget or manage them in settings. Memory works across interactions, meaning deleting a chat doesn’t erase its associated memory—you’ll need to delete the memory itself. ChatGPT may use the content you provide, including memories, to improve its models for everyone, unless you opt out through Data Controls. Note that content from Team and Enterprise accounts won’t be used to train models. Temporary Chat for No Memory If you’d prefer a conversation without memory, use temporary chat. These conversations won’t appear in history, won’t store memories, and won’t contribute to model training. Custom Instructions and Memory Custom Instructions let you guide ChatGPT on how to respond, while memory captures information shared in conversations. This combination allows ChatGPT to become more personalized and responsive over time. Privacy and Safety Standards We’re evolving our privacy and safety protocols to address memory’s impact. ChatGPT is designed to avoid remembering sensitive information, like health data, unless explicitly requested. Memory for Team and Enterprise Users For Team and Enterprise users, memory helps increase efficiency by learning individual preferences and reducing the need for repetitive instructions. For example, ChatGPT can remember your preferred tone and structure for content or your preferred coding languages for programming tasks. Memory in Team and Enterprise accounts remains secure and excluded from model training, with full control over how and when memories are used. Account owners can disable memory for the organization at any time. Memory for GPTs GPTs, too, will have distinct memories. Builders can choose to enable memory, and each GPT will store its own memories. For example, a book recommendation GPT can remember your favorite genres for tailored suggestions. To interact with memory-enabled GPTs, you’ll need memory on. Each GPT will have its own separate memory, so details shared with ChatGPT won’t carry over unless re-entered. Memory is now available to ChatGPT Free, Plus, Team, and Enterprise users. Based on user feedback, ChatGPT will notify you when a memory is updated, and you can easily review or delete those updates by accessing the “Manage memories” option in settings. 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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September 12, 2024in Salesforce
Agentforce to the Team
12Sep

Agentforce to the Team

Salesforce has introduced the Agentforce Atlas Reasoning Engine, a platform designed to perform tasks autonomously with minimal human intervention. Agentforce to the Team changes everything about AI. Businesses can feed the engine data, assign tasks, and step away, as the system is capable of completing work independently. This launch closely follows OpenAI’s recent advancements in artificial intelligence, highlighting the ongoing collaboration between Salesforce and Sam Altman’s firm. Agentforce to the Team-makes me hear “Honey, I’m home”, coming from the front door. The Agentforce Atlas Reasoning Engine is designed to analyze data, make decisions, and execute tasks with high reliability and accuracy, echoing the features of OpenAI’s latest AI model. Salesforce positions this as part of the “Third Wave of AI,” where intelligent agents go beyond assisting humans to actively driving business outcomes without frequent oversight. According to Salesforce CEO Marc Benioff, these agents are deeply integrated into customer workflows, anticipating needs and improving growth by taking proactive action at every touchpoint. Benioff emphasized the revolutionary nature of Agentforce, which he claims will surpass existing AI platforms by offering highly accurate, low-hallucination results. It integrates seamlessly across Salesforce’s ecosystem, benefiting users from industries such as financial services, healthcare, and government. Early adopters, such as Wiley, report a 40% increase in case resolution, with Agentforce handling routine customer service tasks more efficiently than previous chatbots. Disney also saw improved results, noting that Atlas delivered twice the accuracy of other AI tools they had benchmarked. However, the autonomous nature of these agents raises concerns about job displacement, particularly for workers involved in repetitive, low-impact tasks. While Salesforce advocates for reskilling workers to transition into higher-value roles, many organizations struggle to effectively implement such initiatives. The time required to upskill workers may not align with the rapid adoption of AI technologies like Agentforce. Agentforce aims to address common enterprise challenges by offering out-of-the-box solutions for sales, marketing, and customer service roles. The low-code platform allows businesses to customize their AI agents without extensive technical expertise, ensuring that they can scale capacity and improve efficiency. Salesforce plans to showcase Agentforce at its upcoming Dreamforce conference, aiming to onboard 1,000 customers to the platform. The launch signifies Salesforce’s strategic push to dominate the enterprise AI landscape, leveraging its vast data and platform to deliver more value to its customers. Despite its potential, Agentforce introduces new risks, especially in areas like data privacy and ethical AI deployment. Salesforce emphasizes its commitment to addressing these issues by incorporating ethical guardrails, such as toxicity filters. Industry analysts remain cautiously optimistic, noting that while the technology holds promise, the real test will come as more organizations adopt it and integrate it into their workflows. In summary, Salesforce’s Agentforce Atlas Reasoning Engine represents a significant leap in enterprise AI, moving beyond basic AI copilots to fully autonomous agents. While it offers substantial benefits in productivity and efficiency, its impact on the workforce and the challenges of widespread AI adoption will require ongoing attention. By Tectonic’s Shannan Hearne, Solutions Architect 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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September 12, 2024in Salesforce
AI-Driven Chatbots in Education
11Sep

AI-Driven Chatbots in Education

As AI-driven chatbots enter college courses, the potential to offer students 24/7 support is game-changing. However, there’s a critical caveat: when we customize chatbots by uploading documents, we don’t just add knowledge — we introduce biases. The documents we choose influence chatbot responses, subtly shaping how students interact with course material and, ultimately, how they think. So, how can we ensure that AI chatbots promote critical thinking rather than merely serving to reinforce our own viewpoints? How Course Chatbots Differ from Administrative Chatbots Chatbot teaching assistants have been around for some time in education, but low-cost access to large language models (LLMs) and accessible tools now make it easy for instructors to create customized course chatbots. Unlike chatbots used in administrative settings that rely on a defined “ground truth” (e.g., policy), educational chatbots often cover nuanced and debated topics. While instructors typically bring specific theories or perspectives to the table, a chatbot trained with tailored content can either reinforce a single view or introduce a range of academic perspectives. With tools like ChatGPT, Claude, Gemini, or Copilot, instructors can upload specific documents to fine-tune chatbot responses. This customization allows a chatbot to provide nuanced responses, often aligned with course-specific materials. But, unlike administrative chatbots that reference well-defined facts, course chatbots require ethical responsibility due to the subjective nature of academic content. Curating Content for Classroom Chatbots Having a 24/7 teaching assistant can be a powerful resource, and today’s tools make it easy to upload course documents and adapt LLMs to specific curricula. Options like OpenAI’s GPT Assistant, IBL’s AI Mentor, and Druid’s Conversational AI allow instructors to shape the knowledge base of course-specific chatbots. However, curating documents goes beyond technical ease — the content chosen affects not only what students learn but also how they think. The documents you select will significantly shape, though not dictate, chatbot responses. Combined with the LLM’s base model, chatbot instructions, and the conversation context, the curated content influences chatbot output — for better or worse — depending on your instructional goals. Curating for Critical Thinking vs. Reinforcing Bias A key educational principle is teaching students “how to think, not what to think.” However, some educators may, even inadvertently, lean toward dictating specific viewpoints when curating content. It’s critical to recognize the potential for biases that could influence students’ engagement with the material. Here are some common biases to be mindful of when curating chatbot content: While this list isn’t exhaustive, it highlights the complexities of curating content for educational chatbots. It’s important to recognize that adding data shifts — not erases — inherent biases in the LLM’s responses. Few academic disciplines offer a single, undisputed “truth.” AI-Driven Chatbots in Education. Tips for Ethical and Thoughtful Chatbot Curation Here are some practical tips to help you create an ethically balanced course chatbot: This approach helps prevent a chatbot from merely reflecting a single perspective, instead guiding students toward a broader understanding of the material. Ethical Obligations As educators, our ethical obligations extend to ensuring transparency about curated materials and explaining our selection choices. If some documents represent what you consider “ground truth” (e.g., on climate change), it’s still crucial to include alternative views and equip students to evaluate the chatbot’s outputs critically. Equity Customizing chatbots for educational use is powerful but requires deliberate consideration of potential biases. By curating diverse perspectives, being transparent in choices, and refining chatbot content, instructors can foster critical thinking and more meaningful student engagement. AI-Driven Chatbots in Education AI-powered chatbots are interactive tools that can help educational institutions streamline communication and improve the learning experience. They can be used for a variety of purposes, including: Some examples of AI chatbots in education include: While AI chatbots can be a strategic move for educational institutions, it’s important to balance innovation with the privacy and security of student data.  Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

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September 11, 2024in Artificial Intelligence, Data, Einstein 1 Platform, Generative AI, Salesforce Education Cloud, Salesforce Education Solutions
Oracle Fusion Cloud
11Sep

Oracle Fusion Cloud

Oracle has unveiled over 50 role-based AI agents in the Oracle Fusion Cloud Applications Suite as of Wednesday. This suite offers a range of applications designed to help enterprises manage various functions. The newly introduced AI agents aim to assist employees and managers by automating business processes. According to Oracle executives at the CloudWorld 2024 conference in Las Vegas, these agents are tailored to improve efficiency across different functions. In Oracle Fusion Cloud Human Capital Management, the AI agents support shift scheduling, assist with hiring, manage requests to fill or create new positions, and help employees understand their benefits. In Oracle Fusion Cloud Supply Chain, Manufacturing AI Agents provide contextual insights and recommendations for handling order requests and suggest maintenance and repair actions for various assets. The AI agents within Oracle Fusion Cloud Customer Experience assist with planning and research tasks, automate contract workflow and approval processes, and facilitate communication with sales representatives. Oracle has yet to announce the release date for these AI agents. The Next Stage of GenAIThe introduction of AI agents represents an evolution of generative AI, moving beyond chatbots to technology that performs tasks autonomously. “These AI agents are engineered to automate routine tasks and offer personalized insights and recommendations,” noted Sid Nag, Gartner Research analyst. This development underscores a shift in the generative AI market from ideation to practical implementation. “These are very pragmatic and practical ideas,” said Mark Beccue, an analyst at TechTarget’s Enterprise Strategy Group. “It’s a use case we’ve been anticipating, where AI helps complete tasks effectively.” Oracle’s AI Agents for its Fusion Cloud Applications Suite align with the vision for enterprise software vendors, Beccue added. ServiceNow AI AgentsOracle is not alone in embedding AI agents into business applications. On September 10, ServiceNow announced plans to integrate agentic workflows into its platform. The initial AI Agent applications from ServiceNow will focus on Customer Service Management and IT Service Management. These agents are designed to identify and resolve issues independently while still being overseen by human operators. ServiceNow’s AI Agents are expected to launch in November 2024 as part of a limited release. The company also introduced the Now Assist Skill Kit, enabling enterprises to develop custom generative AI skills tailored to specific business needs. Single Task vs. Multitask AgentsA key consideration with AI agents is whether they can handle single tasks or multitask across multiple applications. Mark Beccue suggests that the ability to perform tasks across various applications could lead to a new user interface where AI agents manage tasks seamlessly across different systems. “It’s a vision for the future of AI agents,” Beccue remarked. It remains to be seen how these AI agents will address industry-specific regulations and compliance requirements, particularly in highly regulated sectors such as finance. Additional AI FeaturesOracle has also introduced new AI capabilities in other applications. Oracle Cloud ERP now includes predictive cash forecasting, narrative reporting, and automated transaction records within Oracle Fusion Cloud Sustainability. In Oracle Cloud CX, new features include assisted authoring to help sales teams engage buyers with AI-generated content and advanced AI capabilities in Oracle CX Unity for detecting signals based on role, title, and topic engagement. 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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September 11, 2024in Generative AI
Salesforce Industries AI
10Sep

Salesforce Industries AI

Salesforce has introduced Industries AI, a suite of foundational, pre-built, and customizable AI capabilities designed to address specific industry needs and challenges. This innovation aims to help customers quickly realize value by automating tasks such as matching patients to clinical trials, providing proactive maintenance alerts for vehicles and machinery, streamlining inventory management, and enhancing services for citizens and program beneficiaries. Industries AI is integrated into all 15 of Salesforce’s industry clouds, offering ready-to-use solutions for a range of sector-specific tasks. To assist customers in getting started, Salesforce has launched the AI Use Case Library, which features over 100 Industries AI capabilities. This library includes dedicated resources and use case guides for each industry cloud. The library will be regularly updated with new capabilities, such as Complaint Summaries, Patient Services & Benefits Verification, and Vehicle Telemetry Summary. Industries AI also lays the groundwork for industry-specific Agentforce agents, which will transform workflows across various roles and scales. These agents, available soon in every industry cloud, can be set up in minutes to autonomously handle business tasks, drawing on CRM data, external data, and metadata. They adhere to privacy and security guidelines and can seamlessly transfer complex cases to human agents with relevant context. As organizations increasingly recognize the urgency of adopting AI—up 700% in the last six months—Industries AI addresses the challenge of building and training AI models, which can be costly and time-consuming. By offering AI capabilities tailored to specific industry needs, Salesforce provides a cost-effective solution that delivers immediate value. Industries AI combines the robustness of an enterprise-grade platform with Salesforce’s deep industry expertise. Built on the Salesforce platform, supported by Data Cloud and the Einstein Trust Layer, it ensures safety and security. Customers can leverage pre-built prompts and industry-specific data models to achieve relevant and contextual insights. Here are some of the new capabilities announced: Jeff Amann, EVP & GM of Salesforce Industries, emphasized the mission to provide practical AI solutions across all industries, enabling organizations to harness AI’s potential efficiently. Most of these features will be generally available between October 2024 and February 2025, with ongoing updates through Salesforce’s three annual releases. Generally Available Today: Available in October 2024: Available in Beta in October 2024: Generally Available in February 2025: 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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September 10, 2024in Generative AI, Life Sciences Cloud, Public Sector Solutions
Army of AI Bots
09Sep

Army of AI Bots

Salesforce Inc. has announced a significant upgrade with the launch of Industries AI, a new automation platform designed to handle a wide range of time-consuming tasks, enhancing productivity across various sectors. We are NOT advocating that the next war will be fought with AI Bots. We aren’t even suggesting there is anything negative about these bots. However, if the next war were to be information and data based, who knows. Industries AI will be integrated into all 15 of Salesforce’s cloud platforms, including Sales Cloud, Data Cloud, Service Cloud, Commerce Cloud, and Marketing Cloud. This expansive solution is capable of managing over 100 common tasks, from matching patients with clinical trials and providing maintenance alerts for vehicles and machinery, to streamlining recruitment processes and enhancing government services. The launch of Industries AI responds to findings from Salesforce’s Trends in AI for CRM Report, which indicated that over 75% of business leaders are concerned about missing out on AI advancements if they do not adopt the technology soon. With a 700% increase in urgency to implement AI over the past six months, many organizations struggle with the resources and expertise needed to develop and train AI models. Salesforce aims to address this by offering a ready-made framework for creating AI agents tailored to industry-specific needs, utilizing each customer’s proprietary data within the Salesforce platform. Industries AI will provide a foundation for quickly deploying autonomous agents, with setup times estimated at just a few minutes. To assist customers in leveraging AI automation, Salesforce has created use case libraries for each of its cloud platforms, featuring over 100 capabilities at launch. These capabilities span multiple industries: Salesforce will begin rolling out Industries AI capabilities in October 2024, with some features available by February 2025. The company plans to regularly update Industries AI with new capabilities as part of its annual Salesforce releases. Jeff Amann, executive vice president and general manager of Salesforce Industries, emphasized that this innovation aims to make powerful AI accessible to all enterprises, regardless of size or budget. “Organizations can now easily start with AI solutions tailored to their specific challenges, enhancing efficiency and productivity across various functions,” he said. 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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September 9, 2024in Generative AI
AI-Powered Field Service
09Sep

AI-Powered Field Service

Salesforce has introduced new AI-powered field service capabilities designed to streamline operations for dispatchers, technicians, and field service leaders. Leveraging the Salesforce platform and Data Cloud, these innovations aim to expedite time-consuming processes and enhance customer satisfaction by making field service operations more proactive and efficient. Why it matters: Field service teams currently spend only 32% of their time interacting with customers, with the remaining 68% consumed by administrative tasks like manually entering case notes. With 78% of field service workers in AI-enabled organizations reporting that AI helps save time, Salesforce’s new tools address these inefficiencies head-on. Key AI-driven innovations for Field Service: Availability: Paul Whitelam, GM & SVP of Salesforce Field Service, notes, “The future of field service lies in the seamless integration of AI, data, and human expertise. Our new capabilities set new standards for efficiency and service delivery.” Rudi Khoury, Chief Digital Officer at Fisher & Paykel, adds, “With Salesforce Field Service, we’re not just embracing AI and data-driven insights — we’re advancing into the future of field service, achieving unprecedented efficiency and exceptional service.” 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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September 9, 2024in Einstein Insights, Salesforce Development Services, Salesforce Manufacturing Automotive Energy, Salesforce Service Cloud

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