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  <title>Daily CSR</title>
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  <dc:date>2026-04-30T02:52:21+02:00</dc:date>
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   <title>Fabrix.ai Recognized in Multiple Gartner Reports for Agentic AI Leadership</title>
   <pubDate>Thu, 26 Mar 2026 13:59:00 +0100</pubDate>
   <dc:language>us</dc:language>
   <dc:creator>Debashish Mukherjee</dc:creator>
   <dc:subject><![CDATA[Companies]]></dc:subject>
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      <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" />
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      <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>  
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   <title>Qualcomm and Honeywell Partner to Develop AI-Powered Solutions for the Energy Sector</title>
   <pubDate>Thu, 28 Nov 2024 07:15:00 +0100</pubDate>
   <dc:language>us</dc:language>
   <dc:creator>Debashish Mukherjee</dc:creator>
   <dc:subject><![CDATA[Companies]]></dc:subject>
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      <div style="text-align: justify;">Qualcomm Technologies, Inc. and Honeywell have expanded their partnership to create AI-driven solutions tailored for the energy sector. As part of this collaboration, Honeywell will integrate Qualcomm Technologies' AI and connectivity advancements into applications like the Honeywell Field Process Knowledge System (PKS). This integration aims to enhance the Field PKS by providing remote connectivity within plant and manufacturing sites, enabling improved data collection and edge analytics. <br />   <br />  Qualcomm Technologies brings a robust portfolio of energy-efficient, AI-enabled processors with built-in wireless connectivity (including 450 MHz, Wi-Fi, LPWA, modems, and private 4G/5G networks), complemented by software and computer vision capabilities. Combined with Honeywell’s advanced sensing technologies, this collaboration will produce a suite of industrial sensors designed to monitor process parameters, asset conditions, and environmental factors. These innovations will equip field and service technicians with more comprehensive insights, promoting faster, more precise, and interactive problem-solving. <br />   <br />  “We are dedicated to advancing on-device generative AI solutions to expand the intelligent edge, supporting digital transformation across industries,” said Nakul Duggal, Group General Manager for Automotive, Industrial, Embedded IoT, and Cloud Computing at Qualcomm Technologies, Inc. “This partnership with Honeywell strengthens how businesses interact with their environments through intelligent, responsive systems. With the addition of Sequans’ 4G IoT technology to our portfolio, we’re further enhancing our Industrial IoT offerings.” <br />   <br />  Pramesh Maheshwari, President of Honeywell Process Solutions, highlighted the benefits of combining Qualcomm Technologies’ cutting-edge AI processors with Honeywell’s advanced technologies, noting that it will empower field workers, optimize systems, and elevate process industry performance. “By introducing AI-driven solutions like the Field PKS, Multi-Modal Intelligent Agent, and advanced sensor technologies, we’re transforming the potential of mobile technicians and autonomous operations in the process industry,” Maheshwari said. <br />   <br />  Earlier collaborations between the companies included an AI-powered Multi-Modal Intelligent Agent for mobile workers in sectors like retail and distribution. This system, driven by Qualcomm Technologies, enables interaction through voice, images, and video. In 2025, Honeywell plans to integrate Computer Vision capabilities into the Multi-Modal Intelligent Agent as part of its Field PKS system. <br />  &nbsp; <br />  Click <a class="link" href="https://automation.honeywell.com/us/en/solutions/productivity">here</a>  to know more about how Honeywell is leveraging AI across process industries.</div>  
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   <link>https://www.dailycsr.com/Qualcomm-and-Honeywell-Partner-to-Develop-AI-Powered-Solutions-for-the-Energy-Sector_a4316.html</link>
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