News from the AI & ML world
DeeperML - #salesforce
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Ken Yeung@Ken Yeung
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Salesforce is enhancing its Tableau platform with agentic analytics through Tableau Next, aiming to provide smarter business intelligence. This new offering leverages AI to analyze data more effectively and deliver actionable insights to executives, enabling them to make more informed and faster decisions. Tableau Next is designed to address the growing gap between the need for data-driven insights and the confidence business leaders have in their organization's data. According to a recent Tableau study, many leaders feel their jobs depend on data literacy, yet only half are confident in finding or interpreting the data they need.
Tableau Next uses agentic analytics, which involves AI agents examining data and allowing users to engage with it using natural language prompts to uncover answers. Unlike rules-based systems, these responses are generated using reasoning. Southard Jones, Tableau’s chief product officer, emphasizes that Tableau Next is not a separate platform but an extension of the existing Tableau platform, allowing users to leverage their existing work. The platform features an open, composable architecture, AI-powered semantic layer, and the ability to embed trusted insights directly into existing dashboards and applications, speeding up the entire data-to-action workflow. In addition to Tableau Next, Salesforce is also utilizing agentic AI in other areas. Agentforce is being used to automate tasks such as code writing, with AI now writing 20% of Salesforce's code. This helps developers shift from purely technical roles to more strategic ones, focusing on customer needs and business value. Furthermore, Air India has partnered with Salesforce to enhance customer service using agentic AI, automating refund requests to accelerate the resolution process and improve customer satisfaction. Recommended read:
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@techinformed.com
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Salesforce is introducing Agentforce for Field Service, a specialized edition of its digital labor platform designed to integrate agentic AI into the field service sector. This new offering features AI agents that aim to augment the jobs of dispatchers and technicians by automating cumbersome tasks like scheduling, reporting, and paperwork. The goal is to free up skilled workers, allowing them to concentrate on crucial activities such as repairs, troubleshooting, and fostering stronger customer relationships. Agentforce aims to improve efficiency and reduce the administrative burden that currently consumes a significant portion of technicians' time.
According to a Salesforce survey, technicians and tradespeople are dedicating a substantial amount of their work week, almost a full day, to low-value administrative tasks such as manual data input and summarizing jobs. This amounts to approximately 30% of a technician's working hours being spent on tasks like information gathering, customer documentation, and permit filings, exceeding the 28% spent on actually delivering services. The heavy administrative workload is contributing to technician burnout, with 81% reporting overtime work to complete these tasks on a monthly basis. The implementation of Agentforce is intended to alleviate these pressures. Salesforce estimates that a company with 1,000 full-time technicians could be losing over $260,000 weekly due to time spent on administrative duties. By automating processes like scheduling, Agentforce aims to address the top efficiency barrier for technicians, as the survey revealed that a significant percentage of appointments do not occur within the scheduled timeframe. The introduction of AI agents is seen as a necessity for maintaining critical infrastructure and meeting consumer expectations, by enabling technicians to focus on their core responsibilities. Recommended read:
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@www.datasciencecentral.com
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www.artificialintelligence-new
, www.datasciencecentral.com
AI is rapidly transforming user interface (UI) design by moving away from static interfaces to personalized experiences. AI-driven personalization uses machine learning, behavioral analytics, and real-time data processing to tailor digital interactions for individual users. Data is collected from various sources like browsing history and demographics, then analyzed to segment users into distinct profiles. AI systems then adapt content in real-time using reinforcement learning to create individualized experiences. Ninety-two percent of companies are now using AI-driven personalization to drive growth.
AI agents are not just automating processes; they're reinventing how businesses operate. Certinia, a leader in Professional Services Automation, leverages AI agents to help organizations manage processes from sales to delivery. According to a McKinsey study, businesses must look beyond automation and towards AI-driven reinvention to stay competitive. Agentic AI is capable of reshaping operations, acting autonomously, making decisions, and adapting dynamically. This shift towards Agentic AI also introduces challenges, as companies must address regulatory issues like the EU AI Act, build AI literacy, and focus on use cases with clear ROI. AI governance can no longer be an afterthought. AI-powered systems must incorporate compliance mechanisms, data privacy protections, and explainability features to build trust among users and regulators. Organizations balancing autonomy with oversight in their Agentic AI deployments will likely see the greatest benefits. Recommended read:
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Jonathan Kemper@THE DECODER
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THE DECODER
, MarkTechPost
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Meta and University of Waterloo researchers have developed MoCha, an AI system capable of generating complete character animations with synchronized speech and natural movements. Unlike previous models that primarily focused on facial animation, MoCha can render full-body movements from various camera angles. This includes lip synchronization, gestures, and interactions between multiple characters.
Early demonstrations of MoCha feature close-up and semi-close-up shots, showcasing the system's ability to generate upper body movements and gestures that align with spoken dialogue. MoCha utilizes a diffusion transformer model with 30 billion parameters to produce HD video clips approximately five seconds long at 24 frames per second. For scenes with multiple characters, users can define characters once and refer to them with simple tags, streamlining the prompting process. Recommended read:
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@Salesforce
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References:
Salesforce
, BigDATAwire
Salesforce President and Chief Engineering & Customer Success Officer, Srini Tallapragada, recently addressed the challenges CIOs face when adopting Agentic AI. The increasing interest in AI strategies highlights the critical need for strategic planning and addressing the complexities of integrating Agentic AI into existing enterprise workflows. Salesforce is actively refining its agentic AI platform with a flexible database to meet this growing demand.
Salesforce's agentic AI platform, bolstered by updates to Agentforce, aims to enable more proactive and autonomous AI agents. A key element is providing agents with the necessary context to operate independently. Salesforce emphasizes "topics, instructions, and guardrails" as part of the learning process for these agents, mirroring the onboarding process for human employees. Muralidhar Krishnaprasad, president and CTO of Salesforce, highlighted the importance of teaching agents what to do, emphasizing that data and actions alone are insufficient for success. Recommended read:
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Ryan Daws@Developer Tech News
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Developer Tech News
, Salesforce
SAP has introduced new generative AI capabilities for its Joule AI assistant, aiming to bolster developer productivity within SAP Build solutions. These enhancements are designed to help developers by automating tedious tasks such as debugging errors and dealing with legacy codebases, thus allowing them to transform ideas into code more quickly. SAP is actively embedding AI capabilities across its Business Suite, which includes SAP Build, application development, and automation solutions tailored for extending and creating bespoke business applications.
We’re thrilled to announce new Joule-powered AI capabilities for SAP Build Process Automation and SAP Build Apps. The latest enhancements introduce Joule-powered AI features to SAP Build Process Automation and SAP Build Apps. These enhancements complement the previously announced AI capabilities inSAP Build CodeandABAP Cloud—empowering developers of all skill levels to build more efficiently by leveraging comprehensive, AI-infused developer tools to deliver precise, contextualized outcomes powered by purpose-built, SAP-centric AI models. The company reports strong adoption of its SAP Build solutions, with over 17,000 customers globally now utilizing the platform to build, automate, and innovate more rapidly. Recommended read:
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Salesforce Newsroom@Salesforce
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Salesforce has launched Agentforce 2dx, embedding proactive agentic AI into workflows and introducing AgentExchange, a marketplace for AI agents. This move positions Salesforce at the center of the projected $6 trillion "digital labor" market. Agentforce 2dx empowers AI agents to proactively engage with users, triggered by data changes, operate autonomously in business processes, and interact through various interfaces, while AgentExchange provides a trusted platform for developing and monetizing AI components.
AgentExchange launches with over 200 partners, including Google Cloud, DocuSign, Box, and Workday, offering pre-packaged agent solutions that streamline implementation. For example, Google Cloud leverages Google Search and Vertex AI to provide real-time data insights, while Workday streamlines employee self-service workflows. Salesforce's push into AI agents aims to transform business operations by automating administrative tasks and boosting productivity. Recommended read:
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@Salesforce
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Salesforce is deploying AI agents in healthcare through Agentforce, designed to accelerate treatment times and improve patient outcomes. These AI agents, with names like Grace, Max, and Tom, are being developed by venture-backed companies to automate tasks such as enrolling participants in clinical trials, ensuring proper post-hospitalization care, and helping doctors quickly understand patient medical histories. Agentforce now includes prebuilt skills to streamline tasks like benefits verification, disease surveillance, and clinical trial recruitment.
These AI agents also aim to alleviate physician burnout by completing administrative tasks and improving care delivery as caseloads increase. The Salesforce-Google partnership is enhancing Agentforce capabilities. Agentforce agents will be able to use Google's Gemini models, allowing agents to work with images, audio, and video, handle more complex tasks using Gemini's multi-modal capabilities and two-million-token context windows, and act using real-time insights and answers grounded in Google Search with Vertex AI. Salesforce Service Cloud will become more tightly integrated with Google Customer Engagement Suite, bringing enhanced AI-enabled contact center capabilities, including real-time voice translation, intelligent agent-to-agent handoffs, personalized agent recommendations, and AI-driven conversational insights across all channels. Recommended read:
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Rhys Fisher@CX Today
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References:
MoneyCheck
, CX Today
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Salesforce has announced significant progress with its Agentforce AI platform, reporting the closure of 5,000 deals since October. CEO Marc Benioff highlighted this milestone during the company’s Q4 2025 earnings call, describing the growth as unprecedented. Among these deals, 3,000 are paid, with companies like Singapore Air, Equinox, and Jacuzzi adopting the platform.
Agentforce is proving to be a valuable asset for Salesforce clients. OpenTable has managed 73% of restaurant web queries with Agentforce, and Goodyear is aiming to reduce repair times through vehicle insights and automated appointment scheduling. Pfizer is deploying Agentforce to enhance customer-facing operations, supporting 20,000 employees. Internally, Salesforce has seen 84% of 380,000 service requests autonomously resolved by Agentforce. Despite this growth, the company projects only a modest revenue contribution from Agentforce in 2025, anticipating a more substantial impact in 2026. Recommended read:
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Jon Swartz@Techstrong.ai
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Salesforce and Google Cloud have signed a significant seven-year agreement worth $2.5 billion to deepen their integration of AI and CRM technologies. This collaboration aims to empower Salesforce customers by enabling them to run Agentforce AI assistants, customer-management software, and data cloud products on Google Cloud's infrastructure. The partnership reflects a mutual effort to enhance AI and CRM capabilities, potentially drawing corporate clients away from competitors like Microsoft.
As part of this expanded partnership, Agentforce will leverage Google's Gemini models. This integration will allow agents to handle more complex tasks using Gemini's multi-modal capabilities, including working with images, audio, and video. Furthermore, agents will gain access to real-time insights and answers grounded in Google Search through Vertex AI, enhancing their ability to provide informed and efficient customer support. Recommended read:
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