Key Takeaways INTU's new AI agents handle finance, payments, accounting and project management tasks. Enterprise Suite now offers multi-entity views, KPI scorecards and AI-powered forecasting tools. INTU aims to grow in the $89B mid-market by offering ERP-grade intelligence.Intuit Inc. (INTU) unveiled its newest agentic AI enhancements for Intuit Enterprise Suite this week. The update introduces four AI agents — Finance, Payments, Accounting, Project Management — that proactively automate tedious workflow ...

[Music] [Applause] So, uh, nice to meet you all. Thank you for having me. Um you know probably two two and a half years ago like many other companies out there you know we sort of started on this journey of of building assistants and sort of the north star that we had when we were building these assistants were that they were helpful you know and obviously we wanted them to be as accurate they could and to reference citations when they could and these kinds of things but at the end of the day we wanted it t ...

RT s4mmy (@S4mmyEth)For those interested in the bullet pointed, no fluff contents of this AI Agent Update article:1) Market Overview:- ZK segment gains traction, pushing AI CT mindshare below 30%.- Total AI crypto market cap up $4B (+9%) this week; several projects post double-digit gains.- TAO leads AI tokens with 129 subnets providing numerous opportunities for a Bittensor breakout.- Newer subnets show triple-digit returns; Infinite Hash cools off following BTC mining narrative.2) Key AI Themes:i) Model I ...

Core Insights - The core challenge for enterprises in AI deployment is transforming technological potential into real productivity despite significant investments in AI exploration [1][10] - Amazon Web Services (AWS) has introduced Amazon Bedrock AgentCore, a comprehensive intelligent agent system aimed at addressing the current limitations in enterprise AI deployment [3][5] Group 1: AI Deployment Challenges - Many enterprises struggle with large-scale AI deployment due to infrastructure limitations, security concerns, and operational complexities [1][4] - Typical issues include authorization for AI operations, compatibility of identity authentication systems, and the management of multi-turn dialogues [4][5] Group 2: Amazon Bedrock AgentCore Features - Amazon Bedrock AgentCore consists of seven core modules designed to facilitate agent construction, operation, invocation, memory, interaction, and governance [4][5] - Key features include AgentCore Runtime for extended task execution, AgentCore Identity for granular permission control, and AgentCore Browser Tool for cloud-based web operations [4][5] Group 3: Cost and Efficiency Improvements - The introduction of Amazon S3 Vectors significantly reduces vector processing costs by 90%, enabling agents to retain more business context and improve reasoning capabilities [6][7] - The Amazon Nova model customization service allows businesses to inject proprietary knowledge into models, enhancing decision-making accuracy and content credibility [7] Group 4: Marketplace and Ecosystem Development - AWS has launched a new "AI Agents and Tools" category in its Marketplace, allowing users to easily browse, procure, and deploy various agents and tools [8] - The new IDE tool Kiro integrates agents into the entire development lifecycle, enhancing efficiency and positioning agents as organizational-level AI assistants [9] Group 5: Strategic Business Implications - AWS's design principles emphasize agile response, foundational restructuring, data collaboration, and delivery orientation, indicating a shift in how software is constructed and deployed [10] - Gartner predicts that by 2027, over half of Chief Data and Analytics Officers will secure dedicated budgets for data literacy and AI literacy projects, reflecting a significant shift in investment priorities [10]

Core Viewpoint - The launch of AdsGo.ai by 易点天下 aims to revolutionize digital marketing for startups and growth-stage companies through an automated AI advertising system that simplifies complex marketing tasks into a user-friendly service [1][2][6]. Group 1: Product Overview - AdsGo.ai is designed as a fully automated AI advertising system specifically for global startups and growth-stage companies, transforming complex digital marketing into a "one-click start, long-term operation" service [1][2]. - The system utilizes advanced AI Agents technology to create a 24/7 operational AI marketing ecosystem, addressing the challenges faced by small and medium-sized enterprises (SMEs) in the global market [2][6]. - Users can achieve advertising goals within five minutes without any technical background, as the system automatically generates marketing strategies and optimizes ad performance [3][6]. Group 2: Market Context - There are over 120,000 cross-border e-commerce companies in China, with 90% being SMEs that struggle with high marketing talent costs, limited budgets, and high turnover rates [2]. - The global Agentic AI market is projected to grow from $13.81 billion in 2025 to $140.8 billion by 2032, with a compound annual growth rate of 39.3% [8]. Group 3: Performance Metrics - During the internal testing phase, AdsGo.ai demonstrated a fivefold increase in advertising strategy diversity and effectiveness, a tenfold improvement in creative material testing efficiency, and a 65% reduction in marketing labor costs [6]. - Compared to mid-level optimization specialists, AdsGo.ai reduced the cost per conversion by 26%, increased link click-through rates by 47%, and improved volume efficiency by 132% [6]. Group 4: Strategic Vision - The company aims to break down barriers in overseas marketing for underrepresented players by providing solutions that enhance marketing equity through AI technology [7]. - AdsGo.ai represents a culmination of the company's long-term investment in AI, integrating various AI tools and models to create a comprehensive marketing ecosystem [8][9]. - The platform is designed to democratize access to professional marketing capabilities, enabling more startups and growth-stage companies to confidently expand in the AI era [9].

Key Takeaways CRWD launched falcon-mcp and AI Red Team Services to secure AI workflows and autonomous agents. Charlotte AI enhancements now enable machine-speed triage and response for agentic AI threats. FY26 revenue is projected to grow 20.9% to $4.78B as AI tools drive stronger enterprise adoption.CrowdStrike (CRWD) is strengthening its focus on agentic AI security as enterprises adopt artificial intelligence (AI) and generative AI (GenAI) technologies. These AI agents act autonomously and at machine s ...

RT s4mmy (@S4mmyEth)For those interested in the bullet pointed, no fluff contents of this AI Agent Update article:1) Market Overview:- ZK segment gains traction, pushing AI CT mindshare below 30%.- Total AI crypto market cap up $4B (+9%) this week; several projects post double-digit gains.- TAO leads AI tokens with 129 subnets providing numerous opportunities for a Bittensor breakout.- Newer subnets show triple-digit returns; Infinite Hash cools off following BTC mining narrative.2) Key AI Themes:i) Model I ...

For those interested in the bullet pointed, no fluff contents of this AI Agent Update article:1) Market Overview:- ZK segment gains traction, pushing AI CT mindshare below 30%.- Total AI crypto market cap up $4B (+9%) this week; several projects post double-digit gains.- TAO leads AI tokens with 129 subnets providing numerous opportunities for a Bittensor breakout.- Newer subnets show triple-digit returns; Infinite Hash cools off following BTC mining narrative.2) Key AI Themes:i) Model Improvements- Gemini ...

Core Insights - The emergence of Agentic AI, which possesses perception, reasoning, decision-making, and execution capabilities, is becoming a focal point for global tech giants [1][2] - Amazon Web Services (AWS) has launched several key products and services aimed at deploying Agentic AI, establishing a foundation for "Agent-as-a-Service" [2][3] - The competition among cloud providers is shifting from merely providing computational power to becoming intelligent service providers that enable the practical application of AI agents [3][4] Industry Trends - Key technological elements for the rise of Agentic AI include advanced model reasoning capabilities, standardized protocols, and improved operational efficiency [3][4] - Gartner predicts that by 2028, the proportion of daily work decisions made autonomously by agent-based AI will increase from 0% in 2024 to over 15% [2] - The cost of inference has significantly decreased, with a reported reduction of 280 times over the past two years, making AI more accessible [4][5] Technological Developments - The introduction of the Model Context Protocol (MCP) is facilitating the integration of AI agents with enterprise data and APIs, enhancing their functionality [6][7] - The development of multi-agent collaborative applications has become simpler, with significant reductions in the amount of code required for implementation [7][8] - Automated Reasoning Checks in Amazon Bedrock are designed to mitigate hallucination issues by verifying results against known facts [5][6] Application in Industries - The software development sector is rapidly adopting AI, with tools like Amazon Q Developer enabling programming through natural language, significantly increasing productivity [8][9] - Companies are increasingly recognizing the potential of Agentic AI, with some already integrating it into their operations to maximize value creation [9][10] Adoption Challenges - Companies are divided into two categories: those actively embracing Agentic AI and those hesitant to adopt it due to management's lack of understanding [9][10] - The successful implementation of AI requires top management to recognize its importance beyond just technical departments [10][11] Future Outlook - The technology adoption curve indicates that while some companies are early adopters of AI, others remain skeptical, which could impact their competitive edge [14] - AWS aims to support a growing number of clients in leveraging AI for innovation, emphasizing the importance of practical application and internal organizational change [14][15]

Greylock's Change Agents is a speaker series that explores the cutting edge of Agentic AI. In this session we interview Karthik Narasimhan, Head of Research at Sierra and Associate Professor of Computer Science at Princeton. Karthik discusses his work on the future of language agents and multi-agent interaction and explores his definition of multi-agents, their capabilities, and the work being done in his lab to advance this field. ...