News from the AI & ML world
DeeperML - #agenticai
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Alexey Shabanov@TestingCatalog
// 4d
Microsoft is supercharging its Copilot assistant with new capabilities, transforming it into a companion for all. The company is equipping Copilot with new features designed to make it more responsive and helpful, including memory recall and personalization. This will allow the AI assistant to better understand and remember user preferences, complete tasks, analyze surroundings, and keep life organized. Microsoft aims to make AI work for everyone and wants Copilot to become the AI companion people want, tailored just for them.
Microsoft launched two AI reasoning agents for 365 Copilot: Researcher and Analyst. Researcher handles complex research using multiple sources, while Analyst functions as a data scientist to transform raw data into insights. These agents will roll out this month as part of a new program called "Frontier". The company is also adding new mobile and web features, personalization options, and exclusive tools for Surface devices. Recommended read:
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@www.intel.com
// 5d
NVIDIA is making strides in both agentic AI and open-source initiatives. Jacob Liberman, director of product management at NVIDIA, explains how agentic AI bridges the gap between powerful AI models and practical enterprise applications. Enterprises are now deploying AI agents to free human workers from time-consuming and error-prone tasks, allowing them to focus on high-value work that requires creativity and strategic thinking. NVIDIA AI Blueprints help enterprises build their own AI agents.
NVIDIA has announced the open-source release of the KAI Scheduler, a Kubernetes-native GPU scheduling solution, now available under the Apache 2.0 license. Originally developed within the Run:ai platform, the KAI Scheduler is now available to the community while also continuing to be packaged and delivered as part of the NVIDIA Run:ai platform. The KAI Scheduler is designed to optimize the scheduling of GPU resources and tackle challenges associated with managing AI workloads on GPUs and CPUs. Recommended read:
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Sam Pearcy@hiddenlayer.com
// 5d
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BigDATAwire
, www.computerworld.com
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AI agentic systems are rapidly transforming enterprise workflows, offering the promise of automating complex tasks and boosting productivity. Gartner Research reports that 64% of respondents in a recent poll plan to pursue agentic AI initiatives within the next year, signaling widespread adoption. These agents, unlike traditional AI, possess agency, enabling them to autonomously pursue goals, make decisions, and adapt based on feedback, expanding the capabilities of large language models (LLMs) with memory, tool access, and task management. Model Context Protocol (MCP) is emerging as a potential standard for connecting AI agents with data and tools, aiming to streamline the integration process with a lightweight architecture.
Challenges and risks accompany the deployment of AI agents, including ensuring their security and trustworthiness. Security vulnerabilities that allow AI agents to be manipulated or weaponized are already emerging, which is why developers are focusing on transparency, access controls, and auditing agent behavior to detect anomalies. The agents can be scammed because they are independent-acting and can use APIs or be embedded with standard apps and automate all kinds of business processes. Ethical considerations and the implementation of responsible AI practices are also vital aspects that organizations must address during the integration of these new AI systems. Recommended read:
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Nishant N@MarkTechPost
// 7d
Amazon has unveiled Nova Act, a new AI agent designed to interact with web browsers and automate tasks. Released as a research preview, the Nova Act SDK allows developers to create AI agents capable of automating tasks such as filling out forms, navigating web pages, and managing workflows. U.S.-based users can access the SDK through the nova.amazon.com platform.
Nova Act distinguishes itself by focusing on reliability in completing complex, multi-step tasks by breaking down workflows into atomic commands and integrating with tools like Playwright for direct browser manipulation. Developers can enhance functionality further by interleaving Python code. Early benchmarks suggest Nova Act outperforms competitors like OpenAI’s CUA and Anthropic’s Claude 3.7 Sonnet on specific web interaction tasks, demonstrating Amazon’s commitment to advancing agentic AI. Recommended read:
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Eira May@Stack Overflow Blog
// 7d
AI agents are rapidly transforming business operations across various sectors, promising to automate tasks, enhance efficiency, and streamline workflows. Companies are integrating these intelligent systems to modernize customer experiences and unlock enterprise value. To fully leverage the potential of AI agents, businesses need to ensure they have real-time and seamless connections to company databases, internal communication tools, and documents. This integration is crucial for the agents to provide contextually aware and valuable assistance.
Saltbox Mgmt, a Salesforce consulting company, has successfully implemented Agentforce to modernize the buying experience, resulting in improved efficiency and enhanced personalization. Moreover, the integration of AI in real estate technology presents opportunities for strategic transformation, boosting efficiency, value, and decision-making capabilities. However, AI assistants are only as effective as the knowledge base they are connected to, highlighting the importance of comprehensive and up-to-date internal data. Recommended read:
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@Salesforce
// 11d
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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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Ken Yeung@Ken Yeung
// 12d
Microsoft is enhancing its Copilot Studio platform with new 'deep reasoning' capabilities, allowing AI agents to solve complex problems more effectively. This upgrade also includes 'agent flows' which blend AI's flexibility with structured business automation. The new Researcher and Analyst agents for Microsoft 365 Copilot represent a significant step forward in AI agent evolution, enabling them to handle sophisticated tasks requiring detailed analysis and methodical thinking.
Microsoft's Security Copilot service is also getting a boost with a set of AI agents designed to automate repetitive tasks, freeing up security professionals to focus on more critical threats. These AI agents are designed to assist with critical tasks such as phishing, data security, and identity management. These agents showcase the breadth of what can be created when combining enterprise business data, access to advanced reasoning models, and structured workflows. Recommended read:
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Vasu Jakkal@Microsoft Security Blog
// 14d
Microsoft is enhancing its Security Copilot with new AI agents designed to automate cybersecurity tasks and offer advanced reasoning capabilities. These agents aim to streamline security operations, allowing security teams to focus on complex threats and proactive security measures. The agents, which will be available for preview in April 2025, will assist with critical areas like phishing, data security, and identity management.
The introduction of AI agents in Security Copilot addresses the overwhelming volume and complexity of cyberattacks. For example, the Phishing Triage Agent can handle routine phishing alerts, freeing up human defenders. In addition, Microsoft is introducing new innovations across Microsoft Defender, Microsoft Entra, and Microsoft Purview to help organizations secure their future with an AI-first security platform. Six new agentic solutions from Microsoft Security will enable teams to autonomously handle high-volume security and IT tasks while seamlessly integrating with existing Microsoft Security solutions. Recommended read:
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george.fitzmaurice@futurenet.com (George@Latest from ITPro
// 14d
The AI landscape is rapidly evolving with the emergence of 'DIY' agentic AI development platforms, designed to empower businesses to build and deploy their own AI agents. Major tech companies are increasingly releasing platforms that focus on user customization, allowing businesses to tailor agents to their specific needs. Key players like Oracle, with its 'AI Agent Studio,' OpenAI, AWS, Salesforce, and Workday are offering tools that allow users to create and manage agents across various enterprise platforms. These platforms offer businesses the tooling to make agents rather than simply providing off-the-shelf agents.
The emphasis on user customization stems from the diverse use cases of agentic AI, where tailored solutions are crucial. Frameworks like OpenAI's Agent SDK, LangChain, and CrewAI offer unique capabilities, but also present challenges, including the need to ensure reliability and address ethical considerations. Companies must carefully consider the nuances of different platforms to align with their specific needs and integrate the AI agents effectively. Moreover, the development and deployment of these agents require navigating complexities related to integration with existing systems and maintaining security and continuous improvement. Recommended read:
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Ellie Ramirez-Camara@Data Phoenix
// 17d
Nvidia is making significant strides in the realm of AI agents, highlighted at this year's GTC 2025 conference. CEO Jensen Huang emphasized the transformative impact of agentic AI and reasoning models, predicting that these technologies will revolutionize industries and automate processes. To support this shift, Nvidia unveiled the Blackwell Ultra platform, designed to handle the demanding requirements of AI reasoning, agentic AI, and physical AI applications. The platform, which includes the GB300 NVL72 rack-scale solution and the HGX B300 NVL16 system, offers substantial performance improvements over previous generations, with the GB300 NVL72 delivering 1.5x more AI performance.
In addition to hardware advancements, Nvidia launched NVIDIA Dynamo, an open-source inference framework, to optimize reasoning AI services across thousands of GPUs. This framework is designed to maximize token revenue generation for AI factories deploying reasoning AI models by orchestrating and accelerating inference communication across GPU clusters. Major cloud providers and server manufacturers are expected to offer Blackwell Ultra-based products starting in the second half of 2025. These developments position Nvidia as a key player in the emerging landscape of AI agents and reasoning models, promising to drive significant advancements in AI capabilities and applications. Recommended read:
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george.fitzmaurice@futurenet.com (George@Latest from ITPro
// 18d
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www.itpro.com
, Salesforce
Cisco has announced new agentic AI tools designed to improve both customer and employee experiences. The unveiling includes the Webex AI Agent, set to be generally available later this month, which aims to address customer service requests around the clock with human-like natural language. Additionally, the firm introduced 'Cisco AI Assistant for Webex Contact Center,' offering suggested responses and real-time conversation transcripts for human agents.
Other offerings include ‘Workflow Automation in Cisco AI Assistant for Webex’ integrating Cisco’s tools with enterprise apps like Salesforce, ServiceNow, and Jira. ‘AI Capabilities in Webex Control Hub’ functions as a platform for IT admins to manage AI ecosystems and view analytics on AI usage and employee adoption. Cisco CPO Jeetu Patel stated that agentic AI is reinventing how people and technology work together across both physical and digital realms. Recommended read:
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Jaime Hampton@BigDATAwire
// 19d
NVIDIA's GTC 2025 showcased significant advancements in AI, marked by the unveiling of the Blackwell Ultra GPU and the Vera Rubin roadmap extending through 2027. CEO Jensen Huang emphasized a 40x AI performance leap with the Blackwell platform compared to its predecessor, Hopper, highlighting its crucial role in inference workloads. The conference also introduced open-source ‘Dynamo’ software and advancements in humanoid robotics, demonstrating NVIDIA’s commitment to pushing AI boundaries.
The Blackwell platform is now in full production, meeting incredible customer demand, and the Vera Rubin roadmap details the next generation of superchips expected in 2026. Huang also touted new DGX systems, highlighting the push towards photonic switches to handle growing data demands efficiently. Blackwell Ultra will offer 288GB of memory. NVIDIA claims the GB300 chip brings 1.5x more AI performance than the NVIDIA GB200. These advancements aim to bolster AI reasoning capabilities and energy efficiency, positioning NVIDIA to maintain its dominance in AI infrastructure. Recommended read:
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Ellie Ramirez-Camara@Data Phoenix
// 19d
Nvidia's GTC 2025 event showcased the company's latest advancements in AI computing. A key highlight was the introduction of the Blackwell Ultra platform, designed to support the growing demands of AI reasoning, agentic AI, and physical AI applications. This next-generation platform builds upon the Blackwell architecture and includes the GB300 NVL72 rack-scale solution and the HGX B300 NVL16 system.
The Blackwell Ultra platform promises significantly enhanced AI computing power, with the GB300 NVL72 delivering 1.5x more AI performance than its predecessor and increasing revenue opportunities for AI factories by 50x. Major cloud providers and server manufacturers are expected to offer Blackwell Ultra-based products in the second half of 2025. Supporting this hardware is the new NVIDIA Dynamo open-source inference framework, which optimizes reasoning AI services across thousands of GPUs. Recommended read:
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Chris McKay@Maginative
// 20d
NVIDIA's GTC 2025 event showcased significant advancements in AI infrastructure, highlighting the Blackwell Ultra and Rubin architectures, along with several related technologies and partnerships. Jensen Huang, Nvidia CEO, delivered a keynote address outlining the company’s vision for the AI-powered future, emphasizing improvements in processor performance, network design, and memory capabilities. The Blackwell Ultra GPUs are being integrated into DGX systems to meet the rising demands of AI workloads, especially in inference and reasoning.
NVIDIA is also expanding its offerings beyond chips with the introduction of desktop AI supercomputers for developers. The DGX Station, powered by the GB300 Blackwell Ultra Superchip, aims to bring data center-level AI capabilities to a compact form factor. Nvidia introduced Dynamo, an open-source inference software engineered to maximize token revenue generation for AI factories deploying reasoning AI models. The presentation emphasized a clear roadmap for data center computing, advancements in AI reasoning capabilities, and bold moves into robotics and autonomous vehicles. Recommended read:
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@zdnet.com
// 20d
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www.zdnet.com
, SiliconANGLE
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Zoom is enhancing its AI Companion with agentic capabilities, marking a significant evolution from a basic personal assistant to a proactive task manager. The company is introducing a suite of new AI skills, including managing calendars, generating video clips, and providing advanced writing assistance. These enhancements aim to transform meetings from simple communication events into action-oriented workflows, allowing AI to take complex actions and orchestrate task execution.
Zoom's AI Companion will also become an open platform, capable of interacting with third-party agents like ServiceNow AI agents, and enabling users to create custom agents tailored to their specific needs. Customization options will include creating industry-specific dictionaries, incorporating data from third-party applications, and utilizing AI Studio to expand its knowledge. This customizable AI Companion add-on, expected to roll out in April, will leverage AI small language models (SLMs) alongside large language models to provide accurate and cost-effective solutions for multi-agent collaboration. Recommended read:
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@computerworld.com
// 21d
Cisco is enhancing its Webex platform with new AI-powered features designed to improve both customer service and employee collaboration. Announced at Enterprise Connect, the updates focus on what Cisco calls "agentic AI collaboration," with the goal of anticipating needs, automating tasks, and boosting productivity. Key announcements include the general availability of Webex AI Agent and new features for the Cisco AI Assistant in Webex Contact Center and Webex Suite, along with solutions for Webex Calling and device integrations.
Cisco is aiming to transform traditional contact centers into customer experience centers by making use of AI. Webex AI Agent, set for general availability on March 31, 2025, is a 24/7 self-service solution that uses natural language to handle routine customer questions and fulfill requests. The Cisco AI Assistant for Webex Contact Center will also receive new features, including suggested responses and real-time transcription for agents. Workflow automation in Cisco AI Assistant for Webex will streamline processes by integrating with enterprise applications like Salesforce, ServiceNow, and Jira, to improve efficiency. Recommended read:
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