<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom"  xmlns:media="http://search.yahoo.com/mrss/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:geo="http://www.w3.org/2003/01/geo/wgs84_pos#" xmlns:georss="http://www.georss.org/georss" xmlns:photo="http://www.pheed.com/pheed/">
 <title>Daily CSR</title>
 <subtitle><![CDATA[Daily CSR delivers latest news and in-depth coverage about corporate social responsibility, ethics and sustainability]]></subtitle>
 <link rel="alternate" type="text/html" href="https://www.dailycsr.com" />
 <link rel="self" type="text/xml" href="https://www.dailycsr.com/xml/atom.xml" />
 <id>https://www.dailycsr.com/</id>
 <updated>2026-04-17T05:47:17+02:00</updated>
 <generator uri="http://www.wmaker.net">Webzine Maker</generator>
  <icon>https://www.dailycsr.com/favicon.ico</icon>
  <entry>
   <title>Vitria Unveils Autonomous Knowledge Plane for Smarter AIOps</title>
   <updated>2026-04-09T13:41:00+02:00</updated>
   <id>https://www.dailycsr.com/Vitria-Unveils-Autonomous-Knowledge-Plane-for-Smarter-AIOps_a5692.html</id>
   <category term="Companies" />
   <photo:imgsrc>https://www.dailycsr.com/photo/art/imagette/95937606-66953141.jpg</photo:imgsrc>
   <published>2026-04-09T13:38:00+02:00</published>
   <author><name>Debashish Mukherjee</name></author>
   <content type="html">
    <![CDATA[
     <div style="position:relative; text-align : center; padding-bottom: 1em;">
      <img src="https://www.dailycsr.com/photo/art/default/95937606-66953141.jpg?v=1775734881" alt="Vitria Unveils Autonomous Knowledge Plane for Smarter AIOps" title="Vitria Unveils Autonomous Knowledge Plane for Smarter AIOps" />
     </div>
     <div>
      <div style="text-align: justify;">Vitria Technology has unveiled a major advancement in autonomous network operations ahead of FutureNet World London 2026, introducing its Autonomous Knowledge Plane powered by Self-Evolving Knowledge. This marks a significant move away from probability-based AI toward a model that emphasizes knowledge-driven, transparent, and increasingly self-governing operations. <br />   <br />  As telecom operators push toward 5G-Advanced and Network-as-a-Service (NaaS), conventional data-focused methods are showing limitations due to a lack of contextual depth. Current observability and AIOps tools can identify and link events, but they fall short in understanding the deeper relationships and dependencies within systems. Vitria addresses this challenge by embedding continuously evolving knowledge into operational workflows, enabling AI agents to operate with real-world awareness of networks, services, and processes—minimizing uncertainty and overcoming the “trust gap” that has hindered automation.</div>    <h3 style="text-align: justify;">The Innovation: Self-Evolving Knowledge</h3>    <div style="text-align: justify;">At the heart of this approach is the VIA Knowledge Plane—a dynamic, ever-updating layer that combines telemetry, topology, and organizational knowledge. It automatically extracts insights from CMDBs, logs, metrics, and past incidents to construct adaptive ontologies based on W3C semantic standards. This creates a knowledge-driven digital twin that maps relationships across infrastructure, virtual systems, and services, allowing AI to reason, take action, and continuously improve. <br />   <br />  Dr. Dale Skeen, co-founder and CTO of Vitria Technology, emphasized:&nbsp;“True autonomy depends on more than raw data—it requires deep understanding. With the rise of agentic AI, operating without that understanding is no longer just a limitation; it becomes a risk. Vitria’s Self-Evolving Knowledge Plane shifts AIOps from simple reporting to meaningful comprehension, enabling AI to interpret complex environments, act accurately, and enhance outcomes over time—offering a practical path to autonomous operations.”</div>    <h3 style="text-align: justify;">From Detection to Resolution</h3>    <div style="text-align: justify;">The benefits are particularly clear in complex, multi-domain environments. In a recent implementation, Vitria identified a decline in user experience within the radio network and traced it to capacity issues in a virtualized transport router. By isolating the root cause across multiple layers and initiating automated remediation, the system achieved up to 80% faster resolution times and reduced manual effort by 50–80%.</div>    <h3 style="text-align: justify;">Key Differentiators</h3>    <ul>  	<li style="text-align: justify;"><strong>Deterministic reasoning:</strong> AI decisions are grounded in a verifiable knowledge framework, ensuring clarity and accountability.</li>  	<li style="text-align: justify;"><strong>Collaborative intelligence:</strong> Continuous knowledge sharing and accumulation across systems.</li>  	<li style="text-align: justify;"><strong>Standards-based and transparent:</strong> Built on open standards with proven operational results.</li>  </ul>    <div style="text-align: justify;">Currently deployed across some of the world’s largest networks, VIA AIOps delivers over 95% incident resolution rates, enabling extensive automation and proactively resolving issues before they impact customers. <br />   <br />  Vitria Technology will showcase these innovations at FutureNet World London in April 2026. More information on the shift from data-centric to knowledge-driven operations is available at Vitria’s website. <br />   <br />  <strong>Media Contact:</strong> <br />  Ava Spinale <br />  Marketing Manager, Vitria <br />  <a class="link" href="javascript:protected_mail('aspinale@vitria.com')" >aspinale@vitria.com</a>  <br />  LinkedIn: <a class="link" href="https://www.linkedin.com/in/ava-spinale-a17767295/">https://www.linkedin.com/in/ava-spinale-a17767295/</a> </div>  
     </div>
     <br style="clear:both;"/>
    ]]>
   </content>
   <link rel="alternate" href="https://www.dailycsr.com/Vitria-Unveils-Autonomous-Knowledge-Plane-for-Smarter-AIOps_a5692.html" />
  </entry>
  <entry>
   <title>Fabrix.ai Recognized in Multiple Gartner Reports for Agentic AI Leadership</title>
   <updated>2026-03-26T14:02:00+01:00</updated>
   <id>https://www.dailycsr.com/Fabrix-ai-Recognized-in-Multiple-Gartner-Reports-for-Agentic-AI-Leadership_a5650.html</id>
   <category term="Companies" />
   <photo:imgsrc>https://www.dailycsr.com/photo/art/imagette/95627918-66819157.jpg</photo:imgsrc>
   <published>2026-03-26T13:59:00+01:00</published>
   <author><name>Debashish Mukherjee</name></author>
   <content type="html">
    <![CDATA[
     <div style="position:relative; text-align : center; padding-bottom: 1em;">
      <img src="https://www.dailycsr.com/photo/art/default/95627918-66819157.jpg?v=1774530157" alt="Fabrix.ai Recognized in Multiple Gartner Reports for Agentic AI Leadership" title="Fabrix.ai Recognized in Multiple Gartner Reports for Agentic AI Leadership" />
     </div>
     <div>
      <div style="text-align: justify;">Fabrix.ai, an enterprise platform specializing in agent-driven operational intelligence, announced that it has been featured in several Gartner research reports focused on agentic AI and emerging technologies. The company is identified as a representative or sample vendor in six Gartner publications. <br />   <br />  These acknowledgments highlight Fabrix.ai’s distinct positioning at the convergence of agentic AI and enterprise operations. Its capabilities span IT operations, observability, site reliability engineering, communications service provider (CSP) network assurance, and the broader emerging technology ecosystem—particularly within one of the fastest-growing AI markets globally. <br />   <br />  According to Fabrix.ai, these recognitions reflect the strength of its purpose-built platform, designed to deliver actionable operational intelligence rather than simply rebranding automation. As enterprises shift from reactive issue management to proactive and autonomous operations, Fabrix.ai aims to address this evolving demand across IT and network environments. <br />   <br />  <strong>Key Highlights from Gartner Reports</strong></div>    <ol>  	<li style="text-align: justify;"><strong>Innovation Guide for AI Agents (January 2026):</strong> <br />  	Fabrix.ai is mentioned in the DevOps and IT category for its capabilities in incident management, root cause analysis, and SRE. The report notes that while only 17% of organizations have implemented AI agents so far, 42% intend to do so within a year—supporting Fabrix.ai’s readiness for deployment at scale.</li>  	<li style="text-align: justify;"><strong>Market Guide for AI Site Reliability Engineering Tooling (January 2026):</strong> <br />  	In Gartner’s first Market Guide for AI-driven SRE, Fabrix.ai is listed as a representative vendor. The report forecasts that enterprise adoption will reach 85% by 2029, up from less than 5% today, alongside a sharp increase in demand for proactive reliability solutions.</li>  	<li style="text-align: justify;"><strong>Market Guide for CSP Service and Network Assurance Solutions (January 2026):</strong> <br />  	Among 20 vendors, Fabrix.ai is highlighted as an emerging competitor offering observability and AgenticOps capabilities. The report points to a transition from AIOps to AgenticOps, with CSPs increasingly using AI agents for predictive fault detection, root cause identification, and service impact assessment.</li>  	<li style="text-align: justify;"><strong>Redesign Observability With Business and AI Context (October 2025):</strong> <br />  	Fabrix.ai is recognized in the category of Event Intelligence Solutions with AI SRE capabilities. The report emphasizes the importance of Model Context Protocol (MCP) in shaping the future of observability, aligning with Fabrix.ai’s architecture and tooling.</li>  	<li style="text-align: justify;"><strong>Market Trends: Agentic AI for CSP Autonomous Network Operations (July 2025):</strong> <br />  	Fabrix.ai is identified as a strategic provider for orchestrating multiple AI agents across complex, multivendor CSP environments. Gartner projects that by 2028, 65% of Tier-1 CSPs will deploy AI agents for autonomous network management.</li>  	<li style="text-align: justify;"><strong>Emerging Tech Impact Radar: India (October 2025):</strong> <br />  	Fabrix.ai is one of seven companies highlighted in the Agentic AI category, receiving a “Very High” impact rating with an expected adoption timeline of three to six years. This inclusion reinforces its credibility in a market where concerns about superficial “agent washing” persist.</li>  </ol>    <div style="text-align: justify;"><strong>Key Differentiators of Fabrix.ai</strong> <br />  Across these reports, Gartner underscores the need for agentic AI platforms that deliver more than repackaged automation. Fabrix.ai distinguishes itself in several areas:</div>    <ul>  	<li style="text-align: justify;"><strong>Enterprise-Ready Architecture:</strong> A full-stack, purpose-built platform featuring a Context Engine and Agentic Data Federation to ensure reliability, explainability, and near real-time data modeling.</li>  	<li style="text-align: justify;"><strong>Multi-Agent Orchestration:</strong> Ability to manage and coordinate specialized agents across diverse systems and vendors, including lifecycle management and dynamic composition.</li>  	<li style="text-align: justify;"><strong>Proactive Intelligence:</strong> Focus on shifting from Mean Time to Repair (MTTR) to Mean Time to Prevention (MTTP) through predictive analytics and automated remediation.</li>  	<li style="text-align: justify;"><strong>Governance and Compliance:</strong> Integrated frameworks for trust, risk, and security management (TRiSM), ensuring agents operate within defined governance standards.</li>  	<li style="text-align: justify;"><strong>Open Ecosystem Support:</strong> Native compatibility with protocols such as MCP and A2A, promoting interoperability and reducing vendor lock-in.</li>  </ul>    <div style="text-align: justify;"><strong>Partnerships and Ecosystem</strong> <br />  Fabrix.ai collaborates with leading technology providers such as Cisco, Splunk, IBM, and AWS to deliver scalable, sovereign AI solutions for operational intelligence. Its platform supports both enterprise IT and CSP environments, offering a unified orchestration layer that integrates across complex infrastructures. <br />   <br />  Being featured across multiple Gartner research cycles reflects Fabrix.ai’s maturity as an agentic AI platform, supported by real-world deployments and strategic partnerships. <br />   <br />  <strong>Upcoming Webinar</strong> <br />  Fabrix.ai will host a webinar titled “Market Insights - From AIOps to AgentOps With Fabrix’s Agentic Data Federation” <em>o</em>n April 8 at 8:30 a.m. PST, offering further insights into its platform and approach.</div>  
     </div>
     <br style="clear:both;"/>
    ]]>
   </content>
   <link rel="alternate" href="https://www.dailycsr.com/Fabrix-ai-Recognized-in-Multiple-Gartner-Reports-for-Agentic-AI-Leadership_a5650.html" />
  </entry>
  <entry>
   <title>HCLTech Partners with Magnum Ice Cream to Build AI-Powered IT Infrastructure</title>
   <updated>2026-01-13T06:11:00+01:00</updated>
   <id>https://www.dailycsr.com/HCLTech-Partners-with-Magnum-Ice-Cream-to-Build-AI-Powered-IT-Infrastructure_a5446.html</id>
   <category term="Companies" />
   <photo:imgsrc>https://www.dailycsr.com/photo/art/imagette/93670875-65425852.jpg</photo:imgsrc>
   <published>2026-01-13T06:09:00+01:00</published>
   <author><name>Debashish Mukherjee</name></author>
   <content type="html">
    <![CDATA[
     <div style="position:relative; text-align : center; padding-bottom: 1em;">
      <img src="https://www.dailycsr.com/photo/art/default/93670875-65425852.jpg?v=1768281081" alt="HCLTech Partners with Magnum Ice Cream to Build AI-Powered IT Infrastructure" title="HCLTech Partners with Magnum Ice Cream to Build AI-Powered IT Infrastructure" />
     </div>
     <div>
      <div style="text-align: justify;">HCLTech, a global technology leader, has entered into a multi-year collaboration with The Magnum Ice Cream Company (TMICC), the world’s largest ice cream brand, to design, implement, and manage a next-generation IT infrastructure. As part of the partnership, HCLTech will leverage its AI Force platform to integrate artificial intelligence throughout TMICC’s digital ecosystem over the coming years. <br />   <br />  The solutions provided by HCLTech focus on predictive analytics, enhancing business process visibility, and prioritizing user experience, enabling scalable and resilient IT operations worldwide. A key aspect of this collaboration is the shift from AIOps to a NoOps model, delivering fully autonomous IT operations through zero-touch automation and intelligent systems. <br />   <br />  Mark O’Brien, Chief Technology Officer of TMICC, stated, “As Magnum evolves into an independent, publicly listed company, we are embedding intelligence at every level of our digital infrastructure. Our collaboration with HCLTech is critical in creating a secure, future-ready IT foundation. Together, we are unlocking advanced AI capabilities that will transform operational efficiency and enhance the experiences we provide.” <br />   <br />  The partnership highlights HCLTech’s innovation, agility, and operational expertise in the consumer-packaged goods sector, driving technology-enabled transformation and improving customer engagement. By applying its proven approach, HCLTech will support TMICC in a smooth exit from Unilever under the Transition Service Agreement (TSA) and in establishing a greenfield IT infrastructure to enable an AI-driven digital future for the company. <br />   <br />  C Vijayakumar, CEO &amp; Managing Director of HCLTech, added, “This collaboration reinforces our leadership in delivering complex, global transformations backed by deep industry expertise. We are excited to support TMICC’s growth strategy with cutting-edge technology and global talent.”</div>  
     </div>
     <br style="clear:both;"/>
    ]]>
   </content>
   <link rel="alternate" href="https://www.dailycsr.com/HCLTech-Partners-with-Magnum-Ice-Cream-to-Build-AI-Powered-IT-Infrastructure_a5446.html" />
  </entry>
</feed>
