Chatbots Archives - gettectonic.com - Page 2
Agentforce to the Team
27Nov

Salesforce has officially launched Agentforce

Agentforce goes beyond traditional chatbots and copilots, leveraging advanced reasoning to perform tasks like resolving customer issues, qualifying leads, and optimizing marketing campaigns—all without human intervention. Triggered by data changes, business rules, automations, or API signals, Agentforce executes actions independently. Companies like OpenTable, Saks, and Wiley are already harnessing Agentforce to enhance employee productivity, expand their workforce, and elevate customer experiences.

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November 27, 2024in Data, Enterprise, Mulesoft, Salesforce
Value-Based Care Technologies
22Nov

Value-Based Care Technologies

Essential Technologies for Value-Based Care Success As healthcare providers increasingly adopt value-based care, they must invest in the right technologies and resources to succeed in this model, which incentivizes high-quality, cost-effective care. Value-Based Care Technologies tie reimbursement to care quality, making providers accountable for patient outcomes while providing resources to enhance care. As of 2021, nearly 60% of healthcare payments were already tied to value-based models, according to the Health Care Payment Learning and Action Network (HCP LAN). While partnerships can initiate value-based care, providers must invest in the right technology to fully achieve the intended outcomes. Health Information Exchange (HIE) A robust health information exchange (HIE) is fundamental to value-based care, as it enables providers and payers to access high-quality data seamlessly. HIE allows healthcare professionals to share patients’ medical information electronically across organizations, promoting care coordination by giving providers a comprehensive view of patient needs. For patients, HIE enables more informed involvement in their care by making their health data accessible across specialists, labs, and pharmacies. While joining an HIE may involve new technology investments and workflow adjustments, it ultimately enhances provider access to critical health data. Population Health Management Tools Population health management tools help providers assess health outcomes within groups rather than focusing on individuals alone. These tools aggregate and analyze data, allowing practices to identify high-risk patients and create targeted interventions. This not only enhances health outcomes but can also reduce costs by avoiding expensive treatments. Patient engagement tools, such as telehealth and remote patient monitoring, are essential in population health management, especially for monitoring high-risk patients when in-person care is not feasible. Digital surveys integrated within patient portals can provide insights into social determinants of health, adding a broader context to patient needs. Data Analytics Data analytics transform healthcare data into actionable insights across four types: descriptive, diagnostic, predictive, and prescriptive. Providers can use these analytics to reduce hospital readmissions, predict diseases, and identify chronic illnesses. Data integration and risk stratification capabilities are especially valuable in value-based care, enabling providers to track patient health outcomes effectively and prioritize high-risk cases. Artificial Intelligence & Machine Learning AI and machine learning support many data analytics functions, helping identify patient needs and easing administrative burdens. Given staffing shortages and burnout—reported by 63% of physicians in 2021, according to the American Medical Association (AMA)—AI can automate tasks like documentation, charting, and scheduling, allowing providers to focus more on patient care. Additionally, AI-driven automation in revenue cycle management tasks, such as billing and coding, can reduce the administrative workload associated with value-based care. Price Transparency Technology Price transparency empowers patients to seek cost-effective care, a core principle of value-based models. When providers comply with transparency regulations, patients can better understand their costs and make informed decisions. For providers, leveraging price transparency tools ensures compliance and facilitates partnerships with payers by enabling more effective negotiation, which supports the overall goals of value-based care. As healthcare continues shifting to value-based models, investing in these technologies is critical for providers aiming for long-term success. While these tools rdo equire substantial investment, they are essential for improving patient outcomes, optimizing care quality, and ensuring sustainability in value-based care. When evaluating and choosing healthcare technology tools, contact Tectonic for help. 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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November 22, 2024in AI Tools, Artificial Intelligence, Data, Life Sciences Cloud, Salesforce, Salesforce Development Services, Salesforce Foundations, Salesforce Health and Life Sciences Solutions, Salesforce Health Cloud, Salesforce Implementation Services, Salesforce Optimization, Technology
Generative AI Energy Consumption Rises
19Nov

AI for the Ho-Ho-Holidays

The Holiday Rush and AI’s Growing Role in Retail The holiday season is approaching quickly, with fewer days between Thanksgiving and Christmas this year than at any time since 2019. This condensed timeline makes Salesforce’s latest State of the Connected Customer report—this year titled State of the AI Connected Customer—particularly timely. The report, based on insights from over 15,000 consumers worldwide, focuses on the growing role of artificial intelligence (AI), specifically AI agents, in transforming customer experiences. With Salesforce’s recent launch of Agentforce, AI agents have taken center stage. According to Michael Affronti, SVP and General Manager of Commerce Cloud at Salesforce, the retail sector is already exploring this technology: “Retailers that we talk to are starting to implement AI agents. Unlike chatbots, AI agents can analyze customer data to make proactive recommendations and even take action. For consumers, AI agents create smoother checkout experiences, streamline returns, and deliver personalized shopping that feels like working with an incredible in-store associate. For retailers, AI agents drive higher margins and customer retention by delivering exceptional service. As we like to say, ‘There’s an agent for that.’” Rebuilding Trust with AI One of the most compelling use cases for AI agents, according to Affronti, lies in addressing declining consumer trust. Salesforce’s research highlights alarming trends: AI agents present an opportunity to rebuild trust by delivering reliable and transparent experiences. While consumer expectations for personalized service remain high, Salesforce data suggests that 30% of consumers would work with AI agents if it meant faster service. However, skepticism persists—curiosity is the top emotion associated with AI, followed closely by suspicion and anxiety. Transparency is crucial, as 40% of consumers are more likely to trust AI agents when their logic is explained, and there’s an option to escalate to a human. “Most people just want to know it’s AI, and then they’ll be comfortable,” Affronti notes. “Clarity about what the agent is doing, combined with the ability to talk to a real person, builds trust.” Three Opportunities for Retailers Affronti outlines three key strategies for retailers to embrace AI agents effectively this holiday season: Experimentation and Preparing for the Future For retailers not yet leveraging AI, Affronti advises starting small but experimenting now. For example, large brands like Saks are already piloting AI agents such as “Sophie,” which handles tasks like order management and learns new capabilities based on customer feedback. However, smaller businesses can also benefit from AI tools, such as generative AI for writing product descriptions or automating promotions, regardless of scale. “One of the great things about AI today is how democratized it has become,” Affronti explains. “Small businesses using Salesforce’s Commerce Cloud can leverage AI for tasks like creating product descriptions or automating translations, even if their catalog is limited.” Looking Ahead While this holiday season may not see a widespread rollout of AI-driven retail solutions, early adopters are already showcasing what’s possible. Retailers that embrace experimentation and lay the groundwork for AI-powered experiences today will likely see significant results by the 2025 holiday season. The key takeaway: now is the time to build the foundation for the future of AI in retail. 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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November 19, 2024in AI Tools, Artificial Intelligence, Data, Generative AI, Technology
Redefining Autonomous AI for the Enterprise
18Nov

Redefining Autonomous AI for the Enterprise

Salesforce Agentforce: Redefining Autonomous AI for the Enterprise Salesforce has unveiled Agentforce, a groundbreaking addition to its platform that enables businesses to create and deploy autonomous AI agents capable of performing tasks across any business function. Unlike traditional chatbots or copilots, Agentforce leverages advanced reasoning capabilities to independently resolve customer cases, qualify sales leads, optimize marketing campaigns, and more. By automating actions triggered by data changes, business rules, pre-built automations, or API signals, Agentforce empowers companies like OpenTable, Saks, and Wiley to scale their workforce and enhance customer experiences. “Agentforce is redefining what’s possible in business and beyond,” said Marc Benioff, Chair and CEO of Salesforce. “This technology is ushering in an era of AI abundance and limitless workforces, augmenting employees, building deeper customer relationships, and driving unprecedented growth and profitability.” Built on a Metadata-Driven Architecture Agentforce builds on Salesforce’s metadata-driven platform, ensuring rapid deployment and customization without extensive manual effort. “Agentforce taps into the trusted Salesforce platform, seamlessly integrating enterprise data, workflows, and AI models to deliver actionable intelligence,” said Srini Tallapragada, President and Chief Engineering Officer at Salesforce. Addressing Market Inefficiencies Salesforce research identified significant inefficiencies Agentforce is designed to address: Marc Benioff emphasized, “The agent revolution is as transformative as the cloud, social, and mobile revolutions, setting a new standard for operational efficiency.” Rapid Adoption and Industry Use Cases At Dreamforce 2024, customers created over 10,000 autonomous agents in three days, with adoption accelerating to 20,000 agents globally through Salesforce World Tour events. The platform’s natural language interface enables business users—not just IT teams—to build and customize agents. Industry Applications: Ecosystem and Partner Support The launch is bolstered by partnerships with global systems integrators, including Accenture, Deloitte, IBM, PwC, and Slalom. These collaborations have accelerated emerging technology rollouts by 31%, according to Salesforce. Additionally, the new Agentblazer Community provides a hub for knowledge sharing and integrations via the Salesforce AppExchange. Pricing and Future Development Agentforce is now generally available, with pricing starting at $2 per conversation, including volume discounts. Customers can explore the platform through the Salesforce Foundations trial, offering 1,000 conversation credits for free. Future development plans focus on enabling multi-agent scenarios for complex workflows and expanding autonomous capabilities across business processes. “This is just the first chapter,” said Clara Shih, CEO of Salesforce AI. “The innovation we’ll see from this technology will transform businesses in ways we’ve only begun to imagine.” What This Means for Businesses Agentforce represents Salesforce’s most ambitious platform expansion since Einstein AI’s debut in 2016. Its consumption-based pricing model aligns with Salesforce’s broader shift toward pay-as-you-use services, mirroring strategies with Data Cloud and Einstein GPT. For enterprises, the platform offers a low-risk trial to assess its potential for driving operational improvements. The challenge will be transitioning from pilot projects to large-scale deployments while maintaining the claimed accuracy and efficiency advantages. With over 20,000 agents created and a robust partner ecosystem, Salesforce is well-positioned to lead the autonomous AI revolution. However, the ultimate success of Agentforce will depend on its ability to consistently deliver measurable business value beyond the initial wave of adoption. 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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November 18, 2024in Agentforce Platform, Data, Enterprise, Mulesoft, Salesforce Foundations, Technology
Enterprises are Adopting AI-powered Automation Platforms
12Nov

Enterprises are Adopting AI-powered Automation Platforms

The rapid pace of AI technological advancement is placing immense pressure on teams, often leading to disagreements due to the unrealistic expectations businesses have for the speed and agility of new technology implementation. A staggering 88% of IT professionals report that they are unable to keep up with the flood of AI-related requests within their organizations. Executives from UiPath, Salesforce, ServiceNow, and ManageEngine offer insights into how enterprises can navigate these challenges. Leading enterprises are adopting AI-powered automation platforms that understand, automate, and manage end-to-end processes. These platforms integrate seamlessly with existing enterprise technologies, using AI to reduce friction, eliminate inefficiencies, and enable teams to achieve business goals faster, with greater accuracy and efficiency. This year’s innovation drivers include tools such as Intelligent Document Processing, Communications Mining, Process and Task Mining, and Automated Testing. “Automation is the best path to deliver on AI’s potential, seamlessly integrating intelligence into daily operations, automating backend processes, upskilling employees, and revolutionizing industries,” says Mark Gibbs, EMEA President, UiPath. Jessica Constantinidis, Innovation Officer EMEA at ServiceNow, explains, “Intelligent Automation blends Robotic Process Automation (RPA), Artificial Intelligence (AI), and Machine Learning (ML) with well-defined processes to automate decision-making outcomes.” “Hyperautomation provides a business-driven, disciplined approach that enterprises can use to make informed decisions quickly by analyzing process and data feedback within the organization,” adds Constantinidis. Thierry Nicault, AVP and General Manager at Salesforce Middle East, emphasizes that while companies are eager to embrace AI, the pace of change often leads to confusion and stifles innovation. He notes, “By deploying AI and Hyperintelligent Automation tools, organizations can enhance productivity, visibility, and operational transformation.” Automation is driving growth and innovation across industries. AI-powered tools are simplifying processes, improving business revenues, and contributing to economic diversification. Ramprakash Ramamoorthy, Director of AI Research at ManageEngine, highlights how Hyperintelligent Automation, powered by AI, uses tools like Natural Language Processing (NLP) and Intelligent Document Processing to detect anomalies, forecast business trends, and empower decision-making. The IT Pushback Despite enthusiasm for AI, IT professionals are raising concerns. A Salesforce survey revealed that 88% of IT professionals feel overwhelmed by the influx of AI-related requests, with many citing resource constraints, data security concerns, and data quality issues. Business stakeholders often have unrealistic expectations about how quickly new technologies can be implemented, creating friction. According to Constantinidis of ServiceNow, many organizations lack transparency across their business units, making it difficult to fully understand their processes. As a result, automating processes becomes challenging. She adds, “Before full hyperautomation is possible, issues like data validation, classification, and privacy must be prioritized.” Automation platforms need accurate data, and governance is crucial in managing what data is used for AI models. “You need AI skills to teach and feed the data, and you also need a data specialist to clean up your data lake,” Constantinidis explains. Gibbs from UiPath stresses that automation must be designed in collaboration with the business users who understand the processes and systems. Once deployed, a feedback loop ensures continuous improvement and refinement of automated workflows. Ramamoorthy from ManageEngine notes that adopting Hyperintelligent Automation alongside existing workflows poses challenges. Enterprises must evaluate their technology stack, considering the costs, skills required, and the potential benefits. Strategic Integration of AI and Automation To successfully implement Hyperintelligent Automation tools, enterprises need a blend of IT and business skills. Mark Gibbs of UiPath points out, “These skills ensure organizations can effectively implement, manage, and optimize hyperintelligent technologies, aligning them with organizational goals.” Salesforce’s Nicault adds, “Enterprises must empower both IT and business teams to embrace AI, fostering innovation while ensuring the technology delivers real value.” Business skills are equally crucial, including strategic planning, process analysis, and change management. Ramamoorthy emphasizes that these competencies help identify automation opportunities and align them with business goals. According to Bassel Khachfeh, Digital Solutions Manager at Omnix, automation must be implemented with a focus on regulatory and compliance needs specific to the industry. This approach ensures the technology supports future growth and innovation. Transforming Customer Experiences and Business Operations As automation evolves, it’s transforming not only back-end processes but also customer experiences and decision-making at every level. Constantinidis from ServiceNow explains that hyperintelligence enables enterprises to predict outcomes and avert crises by trusting AI’s data accuracy. Gibbs from UiPath adds that automation allows enterprises to unlock untapped opportunities, speeding up the transformation of manual processes and enhancing business efficiency. AI is already making an impact in areas like supply chain management, regulatory compliance, and customer-facing processes. Ramamoorthy of ManageEngine notes that AI-powered NLP is revolutionizing enterprise chatbots and document processing, enabling businesses to automate complex workflows like invoice handling and sentiment analysis. Khachfeh from Omnix highlights how Cognitive Automation platforms elevate RPA by integrating AI-driven capabilities, such as NLP and Optical Character Recognition (OCR), to further streamline operations. Looking Ahead Hyperintelligent Automation, driven by AI, is set to revolutionize industries by enhancing efficiency, driving innovation, and enabling smarter decision-making. Enterprises that strategically adopt these tools—by integrating IT and business expertise, prioritizing data governance, and continuously refining their automated workflows—will be best positioned to navigate the complexities of AI and achieve sustainable growth. 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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November 12, 2024in Agentforce Platform, Artificial Intelligence, Data, Enterprise, Salesforce, Technology
Salesforce Agentforce Integration
07Nov

The Future of AI for Business

Salesforce Launches Agentforce: The Future of AI for Business Salesforce has officially announced the general availability of its Agentforce platform, introducing what the company calls the next generation of AI-powered business solutions. First unveiled at Dreamforce 2024, Agentforce represents a transformative approach to building and deploying AI agents tailored to enhance workplace efficiency and customer engagement. Revolutionizing AI in BusinessAs part of the Salesforce ecosystem, Agentforce aims to move beyond traditional chatbots and copilot tools, offering businesses AI agents that deliver smart, personalized, and proactive experiences. “Agentforce is redefining what’s possible in business and beyond, ushering in a new era of AI abundance and limitless workforces that augment every employee, build deeper customer relationships, and drive unprecedented growth and profitability,” said Marc Benioff, Chair and CEO of Salesforce. Built on Salesforce’s trusted and customizable platform, Agentforce seamlessly integrates enterprise data, metadata, AI models, workflows, security protocols, and applications. According to Benioff, “This is what AI was meant to be.” Tailored AI AgentsAgentforce’s initial suite includes pre-built agents designed for roles like sales representatives, service agents, personal shoppers, and sales coaches. Businesses can also tailor these AI agents to their specific requirements using a low-code builder, ensuring flexibility and rapid deployment. The platform excels in automating early-stage interactions, such as gathering information or resolving routine issues. It then generates summaries for human agents to review and finalize, allowing employees to focus on higher-value, more rewarding tasks. Affordable and ScalableSalesforce announced that pricing for Agentforce’s Service Agent starts at $2 per conversation, making it accessible to a wide range of businesses. Addressing Consumer Pain PointsIn conjunction with the launch, Salesforce shared new research revealing that consumers often spend up to nine hours navigating customer service for a single issue. This frustration frequently results in abandoned purchases and broken relationships. Agentforce seeks to resolve this by streamlining interactions, reducing resolution times, and delivering consistent, high-quality support experiences. With its comprehensive capabilities and focus on customization, Agentforce positions itself as a game-changer in the AI-driven transformation of customer and workforce experiences. 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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November 7, 2024in Agentforce Platform, Data, Enterprise, Salesforce
being ai-driven
01Nov

Being AI-Driven

Imagine a company where every decision, strategy, customer interaction, and routine task is enhanced by AI. From predictive analytics uncovering market insights to intelligent automation streamlining operations, this AI-driven enterprise represents what a successful business could look like. Does this company exist? Not yet, but the building blocks for creating it are already here. To envision a day in the life of such an AI enterprise, let’s fast forward to the year 2028 and visit Tectonic 5.0, a fictional 37-year-old mid-sized company in Oklahoma that provides home maintenance services. After years of steady sales and profit growth, the 2,300-employee company has hit a rough patch. Tectonic 5.0’s revenue grew just 3% last year, and its 8% operating margin is well below the industry benchmark. To jumpstart growth, Tectonic 5.0 has expanded its product portfolio and decided to break into the more lucrative commercial real estate market. But Tectonic 5.0 needs to act fast. The firm must quickly bring its new offerings to market while boosting profitability by eliminating inefficiencies and fostering collaboration across teams. To achieve these goals, Tectonic 5.0 is relying on artificial intelligence (AI). Here’s how each department at Tectonic 5.0 is using AI to reach these objectives. Spot Inefficiencies with AI With a renewed focus on cost-cutting, Tectonic 5.0 needed to identify and eliminate inefficiencies throughout the company. To assist in this effort, the company developed a tool called Jenny, an AI agent that’s automatically invited to all meetings. Always listening and analyzing, Jenny spots problems and inefficiencies that might otherwise go unnoticed. For example, Jenny compares internal data against industry benchmarks and historical data, identifying opportunities for optimization based on patterns in spending and resource allocation. Suggestions for cost-cutting can be offered in real time during meetings or shared later in a synthesized summary. AI can also analyze how meeting time is spent, revealing if too much time is wasted on non-essential issues and suggesting ways to have more constructive meetings. It does this by comparing meeting summaries against the company’s broader objectives. Tectonic 5.0’s leaders hope that by highlighting inefficiencies and communication gaps with Jenny’s help, employees will be more inclined to take action. In fact, it has already shown considerable promise, with employees being five times more likely to consider cost-cutting measures suggested by Penny. Market More Effectively with AI With cost management underway, Tectonic 5.0’s next step in its transformation is finding new revenue sources. The company has adopted a two-pronged approach: introducing a new lineup of products and services for homeowners, including smart home technology, sustainable living solutions like solar panels, and predictive maintenance on big-ticket systems like internet-connected HVACs; and expanding into commercial real estate maintenance. Smart home technology is exactly what homeowners are looking for, but Tectonic 5.0 needs to market it to the right customers, at the right time, and in the right way. A marketing platform with built-in AI capabilities is essential for spreading the word quickly and effectively about its new products. To start, the company segments its audience using generative AI, allowing marketers to ask the system, in natural language, to identify tech-savvy homeowners between the ages of 30 and 60 who have spent a certain amount on home maintenance in the last 18 months. This enables more precise audience targeting and helps marketing teams bring products to market faster. Previously, segmentation using legacy systems could take weeks, with marketing teams relying on tech teams for an audience breakdown. Now, Tectonic 5.0 is ready to reach out to its targeted customers. Using predictive AI, it can optimize personalized marketing campaigns. For example, it can determine which customers prefer to be contacted by text, email, or phone, the best time of day to reach out, and how often. The system also identifies which messaging—focused on cost savings, environmental impact, or preventative maintenance—will resonate most with each customer. This intelligence helps Tectonic 5.0 reach the optimal customer quickly in a way that speaks to their specific needs and concerns. AI also enables marketers to monitor campaign performance for red flags like decreasing open rates or click-through rates and take appropriate action. Sell More, and Faster, with AI With interested buyers lined up, it’s now up to the sales team to close deals. Generative AI for sales, integrated into CRM, can speed up and personalize the sales process for Tectonic 5.0 in several ways. First, it can generate email copy tailored to products and services that customers are interested in. Tectonic 5.0’s sales reps can prompt AI to draft solar panel prospecting emails. To maximize effectiveness, the system pulls customer info from the CRM, uncovering which emails have performed well in the past. Second, AI speeds up data analysis. Sales reps spend a significant amount of time generating, pulling, and analyzing data. Generative AI can act like a digital assistant, uncovering patterns and relationships in CRM data almost instantaneously, guiding Tectonic 5.0’s reps toward high-value deals most likely to close. Machine learning increases the accuracy of lead scoring, predicting which customers are most likely to buy based on historical data and predictive analytics. Provide Better Customer Service with AI Tectonic 5.0’s new initiatives are progressing well. Costs are starting to decrease, and sales of its new products are growing faster than expected. However, customer service calls are rising as well. Tectonic 5.0 is committed to maintaining excellent customer service, but smart home technology presents unique challenges. It’s more complex than analog systems, and customers often need help with setup and use, raising the stakes for Tectonic 5.0’s customer service team. The company knows that customers have many choices in home maintenance providers, and one bad experience could drive them to a competitor. Tectonic 5.0’s embedded AI-powered chatbots help deliver a consistent and delightful autonomous customer service experience across channels and touchpoints. Beyond answering common questions, these chatbots can greet customers, serve up knowledge articles, and even dispatch a field technician if needed. In the field, technicians can quickly diagnose and fix problems thanks to LLMs like xGen-Small, which

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November 1, 2024in Generative AI
Cool and New AI
31Oct

Cool and New AI Cool and New AI

AI is revolutionizing the way we work, offering a wide range of tools beyond ChatGPT that can enhance efficiency, creativity, and productivity. Whether you’re working with data, code, marketing, videos, images, AI bots, or research, here are the top AI tools that can transform your workflow. Cool and New AI. Don’t get spooked. There will be a cornucopia more in November. 🌟 Code 1️⃣ GlideTurn spreadsheets into powerful mobile apps without writing a single line of code. Glide makes it easy for non-developers to create professional apps with minimal effort. 2️⃣ BubbleA visual programming platform that allows users to build web applications without any coding knowledge. Ideal for entrepreneurs and startups looking to launch digital products quickly. 3️⃣ AskCodiThis AI coding assistant speeds up coding tasks, offers helpful suggestions, and simplifies debugging for developers, making it a must-have tool for coding professionals. 🌟 Data 1️⃣ BasedLabsA robust data analytics platform designed for scientists and engineers. BasedLabs offers complex data processing and model building with exceptional precision. 2️⃣ Coral AIPerfect for data-driven professionals, Coral AI provides efficient edge AI tools for processing large datasets and delivering insights with on-device intelligence, speeding up tasks. 3️⃣ JuliusAn AI-powered tool for market researchers and data analysts, Julius streamlines data processes and offers powerful insights into market trends. 🌟 Marketing 1️⃣ Sprout SocialThis all-in-one social media management platform leverages AI to help marketers optimize their social presence, engage with audiences, and track detailed analytics. 2️⃣ AdCreative AIEnhance your marketing campaigns with AI-generated ads that convert. AdCreative AI allows marketers to design high-impact, creative ads effortlessly. 3️⃣ Jasper AIA top tool for content creators, Jasper AI assists in crafting high-conversion marketing copy, blogs, and ad texts at scale, making it indispensable for digital marketing. 🌟 Video 1️⃣ SynthesiaCreate professional videos without the need for cameras or actors. Synthesia’s AI avatars enable you to produce multilingual videos, making it ideal for corporate and educational content. 2️⃣ HeygenThis AI tool simplifies video production by allowing users to create AI-generated videos, perfect for marketing campaigns or training materials. 3️⃣ Opus ClipOpus Clip transforms long-form video content into short, engaging clips optimized for social media, helping creators repurpose content easily. 🌟 Image 1️⃣ Getimg.AIAutomate image creation with Getimg.AI, which enhances your visual content by generating high-quality images in minutes, speeding up the design process. 2️⃣ PicsartA versatile image editing and design platform with AI tools that make creating stunning visuals effortless, making it ideal for social media, advertising, and creative projects. 3️⃣ Leonardo AIA powerful AI-driven tool for creators, Leonardo AI helps generate high-quality images, illustrations, and graphics, making it an essential tool for designers and artists. 🌟 AI Bot 1️⃣ LiveChatAn AI-powered live chat solution that integrates seamlessly into websites to provide real-time customer support, enhancing business communication. 2️⃣ LandbotThis tool helps create conversational experiences with AI-powered chatbots for customer support, sales, and lead generation, automating client interactions. 3️⃣ CustomGPTA customizable GPT-powered AI chatbot tailored for specific industries and businesses, perfect for providing personalized customer support. 🌟 Research 1️⃣ ChatPDFTurn PDFs into interactive documents with ChatPDF, allowing users to easily navigate and extract information using an AI-based assistant. 2️⃣ VidIQVidIQ provides AI-powered tools to optimize YouTube content for better engagement and visibility, making it invaluable for content creators. 3️⃣ SemrushAn advanced SEO platform powered by AI, Semrush gives marketers and researchers deep insights into online visibility, helping boost content performance. AI extends far beyond ChatGPT. This diverse range of tools is designed to make your work more efficient and productive, whether you’re coding, marketing, creating content, or conducting research. Embrace these AI tools to unlock new levels of creativity and efficiency. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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October 31, 2024in AI Tools, Data
AI and Disability
28Oct

AI and Disability

Dr. Johnathan Flowers of American University recently sparked a conversation on Bluesky regarding a statement from the organizers of NaNoWriMo, which endorsed the use of generative AI technologies, such as LLM chatbots, in this year’s event. Dr. Flowers expressed concern about the implication that AI assistance was necessary for accessibility, arguing that it could undermine the creativity and agency of individuals with disabilities. He believes that art often serves as a unique space where barriers imposed by disability can be transcended without relying on external help or engaging in forced intimacy. For Dr. Flowers, suggesting the need for AI support may inadvertently diminish the perceived capabilities of disabled and marginalized artists. Since the announcement, NaNoWriMo organizers have revised their stance in response to criticism, though much of the social media discussion has become unproductive. In earlier discussions, the author has explored the implications of generative AI in art, focusing on the human connection that art typically fosters, which AI-generated content may not fully replicate. However, they now wish to address the role of AI as a tool for accessibility. Not being personally affected by physical disability, the author approaches this topic from a social scientific perspective. They acknowledge that the views expressed are personal and not representative of any particular community or organization. Defining AI In a recent presentation, the author offered a new definition of AI, drawing from contemporary regulatory and policy discussions: AI: The application of specific forms of machine learning to perform tasks that would otherwise require human labor. This definition is intentionally broad, encompassing not just generative AI but also other machine learning applications aimed at automating tasks. AI as an Accessibility Tool AI has potential to enhance autonomy and independence for individuals with disabilities, paralleling technological advancements seen in fields like the Paris Paralympics. However, the author is keen to explore what unique benefits AI offers and what risks might arise. Benefits Risks AI and Disability The author acknowledges that this overview touches only on some key issues related to AI and disability. It is crucial for those working in machine learning to be aware of these dynamics, striving to balance benefits with potential risks and ensuring equitable access to technological advancements. 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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October 28, 2024in AI Tools, Data, Generative AI
AI FOMO
26Oct

AI FOMO

Enterprise interest in artificial intelligence has surged in the past two years, with boardroom discussions centered on how to capitalize on AI advancements before competitors do. Generative AI has been a particular focus for executives since the launch of ChatGPT in November 2022, followed by other major product releases like Amazon’s Bedrock, Google’s Gemini, Meta’s Llama, and a host of SaaS tools incorporating the technology. However, the initial rush driven by fear of missing out (FOMO) is beginning to fade. Business and tech leaders are now shifting their attention from experimentation to more practical concerns: How can AI generate revenue? This question will grow in importance as pilot AI projects move into production, raising expectations for financial returns. Using AI to Increase Revenue AI’s potential to drive revenue will be a critical factor in determining how quickly organizations adopt the technology and how willing they are to invest further. Here are 10 ways businesses can harness AI to boost revenue: 1. Boost Sales AI-powered virtual assistants and chatbots can help increase sales. For example, Ikea’s generative AI tool assists customers in designing their living spaces while shopping for furniture. Similarly, jewelry insurance company BriteCo launched a GenAI chatbot that reduced chat abandonment rates, leading to more successful customer interactions and potentially higher sales. A TechTarget survey revealed that AI-powered customer-facing tools like chatbots are among the top investments for IT leaders. 2. Reduce Customer Churn AI helps businesses retain clients, reducing revenue loss and improving customer lifetime value. By analyzing historical data, AI can profile customer attributes and identify accounts at risk of leaving. AI can then assist in personalizing customer experiences, decreasing churn and fostering loyalty. 3. Enhance Recommendation Engines AI algorithms can analyze customer data to offer personalized product recommendations. This drives cross-selling and upselling opportunities, boosting revenue. For instance, Meta’s AI-powered recommendation engine has increased user engagement across its platforms, attracting more advertisers. 4. Accelerate Marketing Strategies While marketing doesn’t directly generate revenue, it fuels the sales pipeline. Generative AI can quickly produce personalized content, such as newsletters and ads, tailored to customer interests. Gartner predicts that by 2025, 30% of outbound marketing messages will be AI-generated, up from less than 2% in 2022. 5. Detect Fraud AI is instrumental in detecting fraudulent activities, helping businesses preserve revenue. Financial firms like Capital One use machine learning to detect anomalies and prevent credit card fraud, while e-commerce companies leverage AI to flag fraudulent orders. 6. Reinvent Business Processes AI can transform entire business processes, unlocking new revenue streams. For example, Accenture’s 2024 report highlighted an insurance company that expects a 10% revenue boost after retooling its underwriting workflow with AI. In healthcare, AI could streamline revenue cycle management, speeding up reimbursement processes. 7. Develop New Products and Services AI accelerates product development, particularly in industries like pharmaceuticals, where it assists in drug discovery. AI tools also speed up the delivery of digital products, as seen with companies like Ally Financial and ServiceNow, which have reduced software development times by 20% or more. 8. Provide Predictive Maintenance AI-driven predictive maintenance helps prevent costly equipment downtime in industries like manufacturing and fleet management. By identifying equipment on the brink of failure, AI allows companies to schedule repairs and avoid revenue loss from operational disruptions. 9. Improve Forecasting AI’s predictive capabilities enhance planning and forecasting. By analyzing historical and real-time data, AI can predict product demand and customer behavior, enabling businesses to optimize inventory levels and ensure product availability for ready-to-buy customers. 10. Optimize Pricing AI can dynamically adjust prices based on factors like demand shifts and competitor pricing. Reinforcement learning algorithms allow businesses to optimize pricing in real time, ensuring they maximize revenue even as market conditions change. Keeping ROI in Focus While AI offers numerous ways to generate new revenue streams, it also introduces costs in development, infrastructure, and operations—some of which may not be immediately apparent. For instance, research from McKinsey & Company shows that GenAI models account for only 15% of a project’s total cost, with additional expenses related to change management and data preparation often overlooked. To make the most of AI, organizations should prioritize use cases with a clear return on investment (ROI) and postpone those that don’t justify the expense. A focus on ROI ensures that AI deployments align with business goals and contribute to sustainable revenue growth. 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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October 26, 2024in Generative AI
AI Innovation at Salesforce
24Oct

AI Innovation at Salesforce

AI innovation is advancing at an unprecedented pace, unlike anything I’ve seen in nearly 25 years at Salesforce. It’s now a top priority for every CEO, CTO, and CIO I speak with. As a trusted partner, we help customers innovate, iterate, and navigate the evolving AI landscape. They recognize AI’s immense potential to revolutionize every aspect of business, across all industries. While they’re already seeing significant advancements, we are still just scratching the surface of AI’s full transformational promise. They seek AI technologies that will enhance productivity, augment employee performance at scale, improve customer relationships, and ultimately drive rapid time to value and higher margins. That’s where our new Agentforce Platform comes in. Agentforce represents a breakthrough in AI, delivering on the promise of autonomous AI agents. These agents perform advanced planning and decision-making with minimal human input, automating entire workflows, making real-time decisions, and adapting to new information—all without requiring human intervention. Salesforce customers are embracing Agentforce and integrating it with other products, including Einstein AI, Data Cloud, Sales Cloud, and Service Cloud. Here are some exciting ways our customers are utilizing these tools: Strengthening Customer Relationships with AI Agents OpenTable is leveraging autonomous AI agents to handle the massive scale of its operations, supporting 60,000 restaurants and millions of diners. By piloting Agentforce for Service, they’ve automated common tasks like account reactivations, reservation management, and loyalty point expiration. The AI agents even answer complex follow-up questions, such as “when do my points expire in Mexico?”—a real “wow” moment for OpenTable. These agents are redefining how customers engage with companies. Wiley, an educational publisher, faces a seasonal surge in service requests each school year. By piloting Agentforce Service Agent, they increased case resolution by 40-50% and sped up new agent onboarding by 50%, outperforming their previous systems. Harnessing Data Insights The Adecco Group, a global leader in talent solutions, wanted to unlock insights from its vast data reserves. Using Data Cloud, they’re connecting multiple Salesforce instances to give 27,000 recruiters and sales staff real-time, 360-degree views of their operations. This empowers Adecco to improve job fill rates and streamline operations for some of the world’s largest companies. Workday, a Salesforce customer for nearly two decades, uses Service Cloud to power customer service and Slack for internal collaboration. Our new partnership with Workday will integrate Agentforce with their platform, creating a seamless employee experience across Salesforce, Slack, and Workday. This includes AI-powered employee service agents accessible across all platforms. Wyndham Resorts is transforming its guest experience by using Data Cloud to harmonize CRM data across Sales Cloud, Marketing Cloud, and Service Cloud. By consolidating their systems, Wyndham anticipates a 30% reduction in call resolution time and an overall enhanced customer experience through better access to accurate guest and property data. Empowering Employees Air India, with ambitions to capture 30% of India’s airline market, is using Data Cloud, Service Cloud, and Einstein AI to unify data across merged airlines and enhance customer service. Now, human agents spend more time with customers while AI handles routine tasks, resulting in faster resolution of 550,000 monthly service calls. Heathrow Airport is focused on improving employee efficiency and personalizing passenger experiences. Service Cloud and Einstein chatbots have significantly reduced call volumes, with chatbots answering 4,000 questions monthly. Since launching, live chat usage has surged 450%, and average call times have dropped 27%. These improvements have boosted Heathrow’s digital revenue by 30% since 2019. Driving Productivity and Margins Aston Martin sought to improve customer understanding and dealer collaboration. By adopting Data Cloud, they unified their customer data, reducing redundancy by 52% and transitioning from six data systems to one, streamlining operations. Autodesk, a leader in 3D design and engineering software, uses Einstein for Service to generate AI-driven case summaries, cutting the time spent summarizing customer chats by 63%. They also use Salesforce to enhance data security, reducing ongoing maintenance by 30%. Creating a Bright Future for Our Customers For over 25 years, Salesforce has guided customers through transformative technological shifts. The fusion of AI and human intelligence is the most profound shift we’ve seen, unlocking limitless potential for business success. Join them at Dreamforce next month, where we’ll celebrate customer achievements and share the latest innovations. 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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October 24, 2024in Agentforce Platform
AI Agents and Digital Transformation
23Oct

Ready for AI Agents

Brands that can effectively integrate agentic AI into their operations stand to gain a significant competitive edge. But as with any innovation, success will depend on balancing the promise of automation with the complexities of trust, privacy, and user experience.

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October 23, 2024in Data, Enterprise, Generative AI, Google, Salesforce
AI Agents and Digital Transformation
18Oct

AI Agents and Digital Transformation

In the rapidly developingng world of technology, Artificial Intelligence (AI) is revolutionizing industries and reshaping how we interact with digital systems. One of the most promising advancements within AI is the development of AI agents. These intelligent entities, often powered by Large Language Models (LLMs), are driving the next wave of digital transformation by enabling automation, personalization, and enhanced decision-making across various sectors. AI Agents and digital transformation are here to stay. What is an AI Agent? An AI agent, or intelligent agent, is a software entity capable of perceiving its environment, reasoning about its actions, and autonomously working toward specific goals. These agents mimic human-like behavior using advanced algorithms, data processing, and machine-learning models to interact with users and complete tasks. LLMs to AI Agents — An Evolution The evolution of AI agents is closely tied to the rise of Large Language Models (LLMs). Models like GPT (Generative Pre-trained Transformer) have showcased remarkable abilities to understand and generate human-like text. This development has enabled AI agents to interpret complex language inputs, facilitating advanced interactions with users. Key Capabilities of LLM-Based Agents LLM-powered agents possess several key advantages: Two Major Types of LLM Agents LLM agents are classified into two main categories: Multi-Agent Systems (MAS) A Multi-Agent System (MAS) is a group of autonomous agents working together to achieve shared goals or solve complex problems. MAS applications span robotics, economics, and distributed computing, where agents interact to optimize processes. AI Agent Architecture and Key Elements AI agents generally follow a modular architecture comprising: Learning Strategies for LLM-Based Agents AI agents utilize various learning techniques, including supervised, reinforcement, and self-supervised learning, to adapt and improve their performance in dynamic environments. How Autonomous AI Agents Operate Autonomous AI agents act independently of human intervention by perceiving their surroundings, reasoning through possible actions, and making decisions autonomously to achieve set goals. AI Agents’ Transformative Power Across Industries AI agents are transforming numerous industries by automating tasks, enhancing efficiency, and providing data-driven insights. Here’s a look at some key use cases: Platforms Powering AI Agents The Benefits of AI Agents and Digital Transformation AI agents offer several advantages, including: The Future of AI Agents The potential of AI agents is immense, and as AI technology advances, we can expect more sophisticated agents capable of complex reasoning, adaptive learning, and deeper integration into everyday tasks. The future promises a world where AI agents collaborate with humans to drive innovation, enhance efficiency, and unlock new opportunities for growth in the digital age. AI Agents and Digital Transformation By partnering with AI development specialists at Tectonic, organizations can access cutting-edge solutions tailored to their needs, positioning themselves to stay ahead in the rapidly evolving AI-driven market. Agentforce 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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October 18, 2024in Agentforce Platform, Artificial Intelligence, Data, Enterprise, Salesforce Copilots, Technology

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