Salesforce Presented Its Agentic Platform for Building a Digital Limitless Workforce

Salesforce, the leading CRM company, is preparing the launch of Agentforce 2.0 for February 2025, an AI toolset featured by the company as the "digital labor platform for building a limitless workforce for the enterprise." It's a complete AI system for augmenting teams with autonomous AI agents in the flow of work. An example is the agents for Skills for Sales Development and Sales Coaching, with pricing starting at $2 per conversation. With its release, Salesforce introduced a library of pre-built skills and workflow integrations for rapid customization and the ability to deploy Agentforce in Slack. Marc Benioff, Chair and CEO of Salesforce, said, "We’re seamlessly bringing together AI, data, apps, and automation with humans to reshape how work gets done. Agentforce 2.0 cements our position as the leader in digital labor solutions, allowing any company to build a limitless workforce that can truly transform their business.” Agentforce 2.0 features a library of pre-built agent skills, spanning CRM, Slack, Tableau, and partner-developed skills on the AppExchange. This latest release empowers customers to extend Agentforce to any system or workflow using MuleSoft to create low-code workflows that span any system. It also features an enhanced Agent Builder capable of interpreting natural language instructions, such as 'Onboard New Product Managers,' to auto-generate new agents. These agents seamlessly combine pre-made skills with custom logic built in Salesforce, offering unparalleled flexibility and speed. Agentforce includes Tableau Skills for analytics and insights.

AI-Created Personalized Reports with Visuals and Graphics Help Students to Improve Test Scores

Google's White Paper Explains How GenAI Is Building the Campus of Tomorrow

OpenAI Launched 'Tasks', a Basic Agent that Sets Reminders or Recurring Tasks

Getty Images Plans to Merge with Rival Shutterstock

Getty Images said it would merge with rival Shutterstock on Tuesday to create a $3.7 billion visual licensed content company. The agreement will be subject to both companies' antitrust regulatory and shareholder approval. The combined company would be named Getty Images Holdings, Inc and continue trading on the New York Stock Exchange under the “GETY” symbol. Getty CEO Craig Peters would remain chief executive. The deal underscores the demand for images and content from creators and platforms at a time when the growing use of generative AI tools such as Midjourney poses a threat to the industry. The two companies said the expected annual cost synergies would be between $150 million and $200 million by year three.

Nvidia Launched an Open-Source Video Model to Generate Synthetic Data and a Personal Supercomputer for AI

Nvidia launched Cosmos this week, an open-source video model to generate synthetic data at scale, addressing the data scarcity in robotics. Trained on 20 million hours of video data and 9,000 trillion tokens, Nvidia Cosmos provides tools for creating physics-aware video simulations for various applications, mainly robotics and autonomous vehicles. It contains Difusion-based and Autoregressive model architectures, which, respectively, generate continuous tokens to create controllable visual simulations and use discrete tokens to predict future video frames. It supports text-to-video and video-to-video generation. Cosmos is available on Hugging Face, licensed under Apache 2, while preview access is offered at build.nvidia.com. Personal Supercomputer for AI On the other hand, Nvidia also introduced a personal AI supercomputer, DIGITS, for rapid prototyping of open-source Llama models. With the New GB10 Superchip, DIGITS debuts as the world’s most miniature AI supercomputer capable of running 200B-parameter models. It will be available from Nvidia and top partners in May, starting at $3,000. "By making @AIatMeta Llama models open source, we're committed to democratizing access to cutting-edge AI technology. With Project DIGITS, developers can harness the power of Llama locally, unlocking new possibilities for innovation and collaboration.” — @Ahmad_Al_Dahle, VP,… https://t.co/4SAABLaTd4 — NVIDIA AI Developer (@NVIDIAAIDev) January 7, 2025

ACI Introduced Its Marketplace with 18,000 Training Courses and AI-Mentorship

An Open Source High Performance Video Generation Model from a Chinese Company

Google Gemini's 'LearnLM' Outperformed Other AI Models on Adaptive Learning

Nvidia Partnered with CrewAI to Harness the Power of Agents

Nvidia announced a partnership with CrewAI yesterday to provide an agent orchestration solution with enterprise-grade performance and complete infrastructure control. Currently, PwC’s enterprise and startup Parloa are using this service. CrewAI now powers 4.5M+ Crews with multiple AI Agents weekly across industries. "The integration of CrewAI with NVIDIA AI Enterprise and NIM microservices marks a leap forward in production-grade AI agents," said Justin Boitano, VP of Enterprise AI at NVIDIA The two companies see this transformation across back-office automation, sales & marketing operations, financial analysis, and coding and software automation. This production-ready demo showcased AI agents powered by Meta's Llama 3.3 model on NVIDIA NIMs. document.createElement('video'); https://iblnews.org/wp-content/uploads/2025/01/66cf2bfc3ed15b02da0ca770_67693cf4813591e04df34a70_video-transcode.mp4 Ok this is SO COOL 🤯🤯🤯 I just made an AI agent that calls restaurants to make reservations for me. How it works: 1. You punch in the name of the restaurant and desired time and number of guests. 2. It calls the restaurant (in an incredibly real sounding voice) and makes… pic.twitter.com/2oMNrhaGPO — Andrew Wilkinson (@awilkinson) January 7, 2025

ElevenLabs Launched an Audio Tool for Agents with Law Latency

The text-to-speech platform ElevenLabs launched a powerful AI tool named "Conversational AI" this month that allows to build agents with voice. The voice interaction shows low latency and interruption handling for back-and-forth conversation. The model allows for swapping between Gemini, Claude, and ChatGPT or bringing a custom implementation. It features external function calling and integrates with any third-party app to get real-time information. The agents are powered by 70 realistic-sounding AI voices in up to 32 languages and are built on users' knowledge base. As use cases, ElevenLabs mentioned the following: • Customer Support to handle customer inquiries 24/7. • Scheduling for appointment booking and management, from healthcare to personal services. • Outbound Sales for cold calling at scale and qualifying leads. • Gaming experiences. • Education for personalized learning experiences, offering explanations, quizzes, and adaptive lessons based on a student's progress. • Fan engagement with interactive experiences from trivia to personalized content recommendations.

......

Today's Summary

Monday, November 24, 2025

Education technology today is marked by rising AI adoption among educators and innovative personalized learning approaches.

Video News

Loading videos...

Today in AI & EdTech

Monday, November 24, 2025

AI is transforming the education technology landscape as more teachers adopt intelligent tools, driving forward and adaptive learning experiences.

AI & EdTech Videos

OpenAI Launches Educational GPT Model

Adaptive Learning Platforms Show 40% Improvement

Microsoft Education Copilot Beta Launch

Today in Education

U.S. Department of Education Announces New Funding for STEM Programs

The initiative aims to support science, technology, engineering, and mathematics education.

Global Education Summit Highlights Digital Learning Innovations

Leaders from around the world discuss the future of remote and hybrid learning models.

New Study Shows Benefits of Early Childhood Education

Research indicates significant long-term academic and social advantages for students.