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2025: The Rise of AI Agents and Industry-Focused Innovation
13Nov

2025: The Rise of AI Agents and Industry-Focused Innovation

Over the past few years, CX vendors have rapidly integrated generative AI (GenAI) across the customer experience landscape. This wave of innovation has brought advancements like auto-summarization, customer response recommendations, and intent analysis, especially within Contact Center as a Service (CCaaS) solutions. However, as these capabilities become standard, differentiation now hinges on more advanced AI solutions, orchestration of cross-platform workflows, and collection of industry-specific datasets. AI Agents and Industry-Focused Innovation. Agentic AI, where bots autonomously handle tasks without human intervention, is emerging as a critical differentiator. This shift is reshaping sector-specific processes. Take network providers, for instance; they can leverage agentic AI to detect service outages, create affected customer segments, and proactively send alerts. Salesforce exemplifies this trend with its Agentforce platform, which debuted at Dreamforce 2024, introducing 100 pre-configured, autonomous bots designed for specific industries. By 2025, such bots will likely proliferate, expanding across ecosystems like Workday to facilitate cross-functional automation. Toward a More Autonomous Enterprise As autonomous AI agents advance, they are poised to manage complex, multi-step workflows collaboratively. This move will help organizations move closer to an autonomous enterprise model, where human oversight drives the deployment, testing, and optimization of AI agents. In this model, collaboration platforms such as Microsoft Teams, Slack, and Zoom will serve as operational hubs for managing and refining AI-driven processes. While this full vision may take longer to achieve, 2025 promises substantial advancements in sector-specific efficiencies through AI agents. Not all industries, however, are equally poised to benefit; while healthcare, financial services, and retail lead in AI-enabled CX solutions, other sectors such as hospitality, travel, and education still lag. The Need for Sector-Specific Use Case Libraries CX vendors could empower businesses by providing industry-specific AI use case libraries, building confidence in AI-agent-driven experiences. For example, bots in the finance sector could streamline billing, invoice processing, and ledger management, while spotting and correcting errors. Other industries would benefit from AI innovations tailored to their unique challenges, but such solutions will require co-innovation across CX platforms. 2025 Strategic Technology Trends Gartner’s top technology trends for 2025 provide a framework for CIOs aiming to future-proof their organizations. These trends fall into three themes: AI imperatives, new computing frontiers, and human-machine synergy. These trends will push organizations to adopt cloud, AI, and sustainability-focused architectures, despite challenges. As AI capabilities evolve, so will the risks, emphasizing the need for robust security and ethical frameworks. Salesforce charges up its game with its Agentforce platform, which debuted at Dreamforce 2024, introducing 100 pre-configured, autonomous bots designed for specific industries. By 2025, such bots will likely proliferate, expanding across ecosystems like Workday to facilitate cross-functional automation. Preparing for 2025: Upskilling for the Future As organizations embrace these transformative trends, they must also address a persistent skill gap. Pluralsight’s recent survey reveals that 20% of organizations have deployed AI, while 55% are planning to. However, without strategic business alignment, technology adoption won’t necessarily translate to customer value. For organizations, a focus on responsible innovation and proactive skills development in AI, cloud security, and sustainability will be vital. By preparing for these 2025 trends, businesses can navigate the complexities of the tech landscape and position themselves for long-term success. AI Agents and Industry-Focused Innovation As you prepare for 2025. Tectonic can help you align your goals with your road map. Contact us today! 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 13, 2024in Agentforce Platform, Data, Enterprise, Generative AI, Salesforce, Technology0 Comments
OpenAI and the Agentic Race
13Nov

OpenAI and the Agentic Race

OpenAI to Join the AI Agentic Race with ‘Operator’ in January 2025 OpenAI is reportedly preparing to launch its AI agent, Operator, in January 2025. Designed to autonomously control computers and handle repetitive tasks like booking travel or writing code, Operator is expected to ship as a research preview and will also be available via OpenAI’s API for developers, according to a report by Bloomberg. This move positions OpenAI squarely in the midst of the growing AI agent wars, where competitors like Microsoft and Salesforce are vying for dominance in autonomous AI systems. These tools are seen as the next frontier in AI, enabling users to automate multi-step tasks with minimal supervision. Salesforce and Microsoft: The Agentic Rivalry Heats Up The competition between tech giants is already intense. Salesforce CEO Marc Benioff recently took aim at Microsoft’s Copilot, likening it to a rebooted version of the infamous Clippy, criticizing it as ineffective and lacking value. Benioff highlighted Salesforce’s own offering, Agentforce, which he claimed processes trillions of AI transactions weekly and serves as the leading AI enterprise agent. Benioff went on to accuse Microsoft of being in “panic mode” after it announced plans to expand Copilot Studio with features for building autonomous agents. His sharp critique: “Microsoft rebranding Copilot as ‘agents’? That’s panic mode. Let’s be real—Copilot’s a flop because Microsoft lacks the data, metadata, and enterprise security models to create real corporate intelligence. That is why Copilot is inaccurate, spills corporate data, and forces customers to build their own LLMs. Clippy 2.0, anyone? Meanwhile, Agentforce is transforming businesses now.” A Crowded Battlefield Other players are also entering the fray. Google is set to release its own AI agent in December 2024, while Anthropic recently unveiled a Computer Use API, further expanding its capabilities in this emerging field. With multiple entrants pushing the boundaries of agentic AI, the competition shows no signs of slowing down. OpenAI’s Vision for 2025 While details about Operator remain sparse, OpenAI CEO Sam Altman has hinted that the company is continually refining its models. During OpenAI’s annual Dev Day in October, Chief Product Officer Kevin Weil remarked: “I think 2025 is going to be the year that agentic systems finally hit the mainstream.” Despite the optimism, reports suggest that many leading AI companies, including OpenAI, Google, and Anthropic, are struggling to develop more advanced models. Challenges such as a lack of high-quality training data and resource constraints are cited as significant hurdles. The Road Ahead As the race to mainstream agentic AI systems intensifies, the stakes couldn’t be higher. With OpenAI’s Operator entering the fold alongside Google, Salesforce, Microsoft, and Anthropic, 2025 is shaping up to be a transformative year for AI. Whether Operator can live up to expectations—or if it will face the same scrutiny as its competitors—remains to be seen. 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 13, 2024in Data, Enterprise, Google, Salesforce0 Comments
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, Technology0 Comments
AI Won't Hurt Salesforce
12Nov

AI Won’t Hurt Salesforce

Marc Benioff Dismisses AI Threats, Sets Sights on a Billion AI Agents in One Year Salesforce CEO Marc Benioff has no doubts about the transformative potential of AI for enterprise software, particularly Salesforce itself. At the core of his vision are AI agents—autonomous software bots designed to handle routine tasks, freeing up human workers to focus on more strategic priorities. “What if your workforce had no limits? That’s a question we couldn’t even ask over the past 25 years of Salesforce—or the 45 years I’ve been in software,” Benioff said during an appearance on TechCrunch’s Equity podcast. The Billion-Agent Goal Benioff revealed that Salesforce’s recently launched Agentforce platform is already being adopted by “hundreds of customers” and aims to deploy a billion AI agents within a year. These agents are designed to handle tasks across industries—from enhancing customer experiences at retail brands like Gucci to assisting patients with follow-ups in healthcare. To illustrate, Benioff shared his experience with Disney’s virtual Private Tour Guides. “The AI agent analyzed park flow, ride history, and preferences, then guided me to attractions I hadn’t visited before,” he explained. Competition with Microsoft and the AI Landscape While Benioff is bullish on AI, he hasn’t hesitated to criticize competitors—particularly Microsoft. When Microsoft unveiled its new autonomous agents for Dynamics 365 in October, Benioff dismissed them as uninspired. “Copilot is the new Clippy,” he quipped, referencing Microsoft’s infamous virtual assistant from the 1990s. Benioff also cited Gartner research highlighting data security issues and administrative flaws in Microsoft’s AI tools, adding, “Copilot has disappointed so many customers. It’s not transforming companies.” However, industry skeptics argue that the real challenge to Salesforce isn’t Microsoft but the wave of AI-powered startups disrupting traditional enterprise software. With tools like OpenAI’s ChatGPT and Klarna’s in-house AI assistant “Kiki,” companies are starting to explore GenAI solutions that can replace legacy platforms like Salesforce altogether. For example, Klarna recently announced it was moving away from Salesforce and Workday, favoring GenAI tools that enable seamless, conversational interfaces and faster data access. Why Salesforce Is Positioned to Win Despite the noise, Benioff remains confident that Salesforce’s extensive data infrastructure gives it a significant edge. “We manage 230 petabytes of customer data with robust security and sharing models. That’s what allows AI to thrive in our ecosystem,” he said. While companies may question how other platforms like OpenAI handle data, Salesforce offers an integrated approach, reducing the need for complex data migrations to other clouds, such as Microsoft Azure. Salesforce’s Own Use of AI Benioff also highlighted Salesforce’s internal adoption of Agentforce, using AI agents in its customer service operations, sales processes, and help centers. “If you’re authenticated on help.salesforce.com, you’re already interacting with our agent,” he noted. AI Startups: Threat or Opportunity? As for concerns about AI startups overtaking Salesforce, Benioff sees them as acquisition opportunities rather than existential threats. “We’ve made over 60 acquisitions, many of them startups,” he said. He pointed to Agentforce itself, which was built using technology from Airkit.ai, a startup founded by a former Salesforce employee. Salesforce Ventures initially invested in Airkit.ai before acquiring and integrating it into its platform. The Path Forward Benioff is resolute in his belief that AI won’t hurt Salesforce—instead, it will revolutionize how businesses operate. While skeptics warn of a seismic shift in enterprise software, Benioff’s strategy is clear: lean into AI, leverage data, and stay agile through innovation and acquisitions. “We’re just getting started,” he concluded, reiterating his vision for a future where AI agents expand the possibilities of work and customer experience like never before. 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, AI Tools, Data, Enterprise, Laws, Salesforce, Technology0 Comments
Snowflake Security and Development
12Nov

Snowflake Security and Development

Snowflake Unveils AI Development and Enhanced Security Features At its annual Build virtual developer conference, Snowflake introduced a suite of new capabilities focused on AI development and strengthened security measures. These enhancements aim to simplify the creation of conversational AI tools, improve collaboration, and address data security challenges following a significant breach earlier this year. AI Development Updates Snowflake announced updates to its Cortex AI suite to streamline the development of conversational AI applications. These new tools focus on enabling faster, more efficient development while ensuring data integrity and trust. Highlights include: These features address enterprise demands for generative AI tools that boost productivity while maintaining governance over proprietary data. Snowflake aims to eliminate barriers to data-driven decision-making by enabling natural language queries and easy integration of structured and unstructured data into AI models. According to Christian Kleinerman, Snowflake’s EVP of Product, the goal is to reduce the time it takes for developers to build reliable, cost-effective AI applications: “We want to help customers build conversational applications for structured and unstructured data faster and more efficiently.” Security Enhancements Following a breach last May, where hackers accessed customer data via stolen login credentials, Snowflake has implemented new security features: These additions come alongside existing tools like the Horizon Catalog for data governance. Kleinerman noted that while Snowflake’s previous security measures were effective at preventing unauthorized access, the company recognizes the need to improve user adoption of these tools: “It’s on us to ensure our customers can fully leverage the security capabilities we offer. That’s why we’re adding more monitoring, insights, and recommendations.” Collaboration Features Snowflake is also enhancing collaboration through its new Internal Marketplace, which enables organizations to share data, AI tools, and applications across business units. The Native App Framework now integrates with Snowpark Container Services to simplify the distribution and monetization of analytics and AI products. AI Governance and Competitive Position Industry analysts highlight the growing importance of AI governance as enterprises increasingly adopt generative AI tools. David Menninger of ISG’s Ventana Research emphasized that Snowflake’s governance-focused features, such as LLM observability, fill a critical gap in AI tooling: “Trustworthy AI enhancements like model explainability and observability are vital as enterprises scale their use of AI.” With these updates, Snowflake continues to compete with Databricks and other vendors. Its strategy focuses on offering both API-based flexibility for developers and built-in tools for users seeking simpler solutions. By combining innovative AI development tools with robust security and collaboration features, Snowflake aims to meet the evolving needs of enterprises while positioning itself as a leader in the data platform and AI space. 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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November 12, 2024in AI Tools, Data, Enterprise, Generative AI, Snowflake0 Comments
AI Research Agents
11Nov

AI Research Agents

AI Research Agents: Transforming Knowledge Discovery by 2025 (Plus the Top 3 Free Tools) The research world is on the verge of a groundbreaking shift, driven by the evolution of AI research agents. By 2025, these agents are expected to move beyond being mere tools to becoming transformative assets for knowledge discovery, revolutionizing industries such as marketing, science, and beyond. Human researchers are inherently limited—they cannot scan 10,000 websites in an hour or analyze data at lightning speed. AI agents, however, are purpose-built for these tasks, providing efficiency and insights far beyond human capabilities. Here, we explore the anticipated impact of AI research agents and highlight three free tools redefining this space (spoiler alert: it’s not ChatGPT or Perplexity!). AI Research Agents: The New Era of Knowledge Exploration By 2030, the AI research market is projected to skyrocket from $5.1 billion in 2024 to $47.1 billion. This explosive growth represents not just advancements in AI but a fundamental transformation in how knowledge is gathered, analyzed, and applied. Unlike traditional AI systems, which require constant input and supervision, AI research agents function more like dynamic research assistants. They adapt their approach based on outcomes, handle vast quantities of data, and generate actionable insights with remarkable precision. Key Differentiator: These agents leverage advanced Retrieval Augmented Generation (RAG) technology, ensuring accuracy by pulling verified data from trusted sources. Equipped with anti-hallucination algorithms, they maintain factual integrity while citing their sources—making them indispensable for high-stakes research. The Technology Behind AI Research Agents AI research agents stand out due to their ability to: For example, an AI agent can deliver a detailed research report in 30 minutes, a task that might take a human team days. Why AI Research Agents Matter Now The timing couldn’t be more critical. The volume of data generated daily is overwhelming, and human researchers often struggle to keep up. Meanwhile, Google’s focus on Experience, Expertise, Authoritativeness, and Trustworthiness (EEAT) has heightened the demand for accurate, well-researched content. Some research teams have already reported time savings of up to 70% by integrating AI agents into their workflows. Beyond speed, these agents uncover perspectives and connections often overlooked by human researchers, adding significant value to the final output. Top 3 Free AI Research Tools 1. Stanford STORM Overview: STORM (Synthesis of Topic Outlines through Retrieval and Multi-perspective Question Asking) is an open-source system designed to generate comprehensive, Wikipedia-style articles. Learn more: Visit the STORM GitHub repository. 2. CustomGPT.ai Researcher Overview: CustomGPT.ai creates highly accurate, SEO-optimized long-form articles using deep Google research or proprietary databases. Learn more: Access the free Streamlit app for CustomGPT.ai. 3. GPT Researcher Overview: This open-source agent conducts thorough research tasks, pulling data from both web and local sources to produce customized reports. Learn more: Visit the GPT Researcher GitHub repository. The Human-AI Partnership Despite their capabilities, AI research agents are not replacements for human researchers. Instead, they act as powerful assistants, enabling researchers to focus on creative problem-solving and strategic thinking. Think of them as tireless collaborators, processing vast amounts of data while humans interpret and apply the findings to solve complex challenges. Preparing for the AI Research Revolution To harness the potential of AI research agents, researchers must adapt. Universities and organizations are already incorporating AI training into their programs to prepare the next generation of professionals. For smaller labs and institutions, these tools present a unique opportunity to level the playing field, democratizing access to high-quality research capabilities. Looking Ahead By 2025, AI research agents will likely reshape the research landscape, enabling cross-disciplinary breakthroughs and empowering researchers worldwide. From small teams to global enterprises, the benefits are immense—faster insights, deeper analysis, and unprecedented innovation. As with any transformative technology, challenges remain. But the potential to address some of humanity’s biggest problems makes this an AI revolution worth embracing. Now is the time to prepare and make the most of these groundbreaking tools. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

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November 11, 2024in Data, Enterprise, Google, Technology0 Comments
Insurance Brokerage Financial Services Cloud
10Nov

Insurance Brokerage Financial Services Cloud

Salesforce has introduced Financial Services Cloud for Insurance Brokerages, an AI-powered platform set to launch in February 2025, designed to automate and enhance client management, policy servicing, and commission processing for insurance brokerages. Built on Salesforce’s core CRM system, Insurance Brokerage Financial Services Cloud streamlines traditionally time-consuming tasks like policy renewals, employee benefits management, and commission splits, aiming to consolidate operations and reduce operational expenses.

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November 10, 2024in Data, Enterprise, Salesforce Data Cloud, Technology0 Comments
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, Salesforce0 Comments
salesforce and mahindra finance
02Nov

Salesforce and Mahindra

The new LOS will incorporate machine learning and automation to deliver real-time credit assessments, enabling faster loan processing and competitive interest rates, alongside improved credit risk insights. This strategic partnership underscores Mahindra Finance’s dedication to providing responsible financing solutions to India’s emerging MSME sector.

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November 2, 2024in Data, Enterprise, Salesforce, Salesforce Sales Cloud, Technology
OpenAI Introduces Canvas
31Oct

OpenAI Introduces Canvas

Don’t get spooked – OpenAI introduces Canvas—a fresh interface for collaborative writing and coding with ChatGPT, designed to go beyond simple conversation. Canvas opens in a separate window, enabling you and ChatGPT to work on projects side by side, creating and refining ideas in real time. This early beta provides an entirely new way of collaborating with AI—combining conversation with the ability to edit and enhance content together. Built on GPT-4o, Canvas can be selected in the model picker during the beta phase. Starting today, we’re rolling it out to ChatGPT Plus and Team users globally, with Enterprise and Education users gaining access next week. Once out of beta, Canvas will be available to all ChatGPT Free users. Enhancing Collaboration with ChatGPT While ChatGPT’s chat interface works well for many tasks, projects requiring editing and iteration benefit from more. Canvas provides a workspace designed for such needs. Here, ChatGPT can better interpret your objectives, offering inline feedback and suggestions across entire projects—similar to a copy editor or code reviewer. You control every aspect in Canvas, from direct editing to leveraging shortcuts like adjusting text length, debugging code, or quickly refining writing. You can also revert to previous versions with Canvas’s back button. OpenAI Introduces Canvas Canvas opens automatically when ChatGPT detects an ideal scenario, or you can prompt it by typing “use Canvas” in your request to begin working collaboratively on an existing project. Writing Shortcuts Include: Coding in Canvas Canvas makes coding revisions more transparent, streamlining the iterative coding process. Track ChatGPT’s edits more clearly and take advantage of features that make debugging and revising code simpler. OpenAI Introduces Canvas to a world of new possibilities for truly developing and working with artificial intelligence. Coding Shortcuts Include: Training the Model to Collaborate GPT-4o has been optimized to act as a collaborative partner, understanding when to open a Canvas, make targeted edits, or fully rewrite content. Our team implemented core behaviors to support a seamless experience, including: These improvements are backed by over 20 internal automated evaluations and refined with synthetic data generation techniques, allowing us to enhance response quality and interaction without relying on human-generated data. Key Challenges as OpenAI Introduces Canvas A core challenge was determining when to trigger Canvas. We trained GPT-4o to recognize prompts like “Write a blog post about the history of coffee beans” while avoiding over-triggering for simple Q&A requests. For writing tasks, we reached an 83% accuracy in correct Canvas triggers, and a 94% accuracy in coding tasks compared to baseline models. Fine-tuning continues to ensure targeted edits are favored over full rewrites when needed. Finally, improving comment generation required iterative adjustments and human evaluations, with the integrated Canvas model now outperforming baseline GPT-4o in accuracy by 30% and quality by 16%. What’s Next Canvas is the first major update to ChatGPT’s visual interface since launch, with more enhancements planned to make AI more versatile and accessible. Canvas is also integrated with Salesforce. 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 31, 2024in Data, Enterprise
AI Agents, Tech's Next Big Bet
30Oct

Agentforce Platform to Revolutionize Autonomous AI Agents

Salesforce Launches Agentforce Platform to Revolutionize Autonomous AI Agents Salesforce has announced the general availability of Agentforce, a transformative platform that empowers businesses to create, test, and deploy autonomous AI agents seamlessly integrated into their Salesforce workflows. Key Features of Agentforce Agentforce combines cutting-edge technology with user-friendly design, enabling businesses to: The agents also suggest knowledge, actions, and guardrails to optimize performance, enhancing operational efficiency across customer service, sales, and other functions. Real-World Applications During Dreamforce 2024, Salesforce customers built over 10,000 AI Agents to support a wide range of industries and use cases, including: Revolutionizing AI in Business Agentforce represents a shift from generation-based AI to action-based AI, emphasizing solutions that actively drive business outcomes. Salesforce CEO Marc Benioff described the platform as a game-changer, stating: “Agentforce is redefining what’s possible, 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.” Built on a Unified Salesforce Ecosystem Agentforce is fully integrated with Salesforce’s robust platform, offering seamless connections to enterprise data, metadata, AI models, workflows, security, and applications. The platform leverages Data Cloud, enabling AI Agents to access unified data and collaborate across Salesforce apps. This integration ensures businesses can scale AI capabilities across the entire customer experience ecosystem without the need for extensive customization. Support for Adoption and Growth Salesforce is rolling out several initiatives to support Agentforce users: Pricing starts at $2 per conversation, with volume discounts available. Empowering Nonprofits with Agents for Impact Salesforce is extending Agentforce’s potential through the Agents for Impact Accelerator, offering nonprofits resources to build customized AI agents. This initiative underscores Salesforce’s commitment to scaling AI’s community impact. Early Success and Adoption Leading organizations such as The Adecco Group, BACA Systems, OpenTable, Saks, and Wiley have already adopted Agentforce, leveraging it to streamline workflows and deliver impactful customer experiences. By bridging the gap between AI innovation and practical, risk-aware application, Salesforce positions Agentforce as a cornerstone of the next generation of AI-driven business solutions. 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 30, 2024in Agentforce Platform, Data, Enterprise, Salesforce, Salesforce Foundations, Technology
Generative ai energy consumption
28Oct

AI Energy Consumption

At the Gartner IT Symposium/Xpo 2024, industry leaders emphasized that rising energy consumption and costs are fast becoming constraints on IT capabilities. Solutions discussed include adopting acceleration technologies, exploring microgrids, and keeping an eye on emerging energy-efficient technologies. With enterprise AI applications expanding, computing demands – and the energy needed to support them – are rapidly increasing. Nvidia’s CEO, Jensen Huang, highlighted this challenge, noting that advancements in traditional computing are failing to keep pace with data processing needs. “If compute demand grows exponentially while general-purpose performance stagnates, you’ll face not just cost inflation but significant energy inflation,” he said. Huang suggested that leveraging accelerated computing can mitigate some of these impacts, improving energy efficiency. Another approach highlighted was the use of microgrids, with Gartner predicting that Fortune 500 companies will shift up to $500 billion toward such systems by 2027 to manage ongoing energy risks and AI demand. Gartner’s Daryl Plummer noted that these independent energy networks could help energy-intensive enterprises avoid dependence on strained public power grids. Hyperscalers, including major cloud providers, are already exploring alternative power sources, such as nuclear energy, to meet escalating demands. For instance, Microsoft has announced plans to source energy from the Three Mile Island nuclear plant. While emerging technologies like quantum, neuromorphic, and photonic computing offer the promise of significant energy efficiency, they’re still years away from maturity. Gartner analyst Frank Buytendijk predicted it will take five to ten years before these options become viable solutions. “Energy-efficient computing is on the horizon, but we have a ways to go,” he said. Until then, enterprises will need to consider proactive strategies to manage energy risks and costs as part of their AI and IT planning. 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 28, 2024in Data, Enterprise, Technology

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