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Ribbon Communications: Q1 Earnings Snapshot

Ribbon Communications: Q1 Earnings Snapshot

Yahoo29-04-2025

PLANO, Texas (AP) — PLANO, Texas (AP) — Ribbon Communications Inc. (RBBN) on Tuesday reported a loss of $26.2 million in its first quarter.
The Plano, Texas-based company said it had a loss of 15 cents per share. Losses, adjusted for one-time gains and costs, came to 3 cents per share.
The maker of technology for telephone services over internet networks posted revenue of $181.3 million in the period.
For the current quarter ending in June, Ribbon Communications said it expects revenue in the range of $210 million to $220 million.
The company expects full-year revenue in the range of $870 million to $890 million.
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This story was generated by Automated Insights (http://automatedinsights.com/ap) using data from Zacks Investment Research. Access a Zacks stock report on RBBN at https://www.zacks.com/ap/RBBN

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BCI Invests in KKR Tower Platform Pinnacle Towers
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BCI Invests in KKR Tower Platform Pinnacle Towers

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KKR first invested in Pinnacle Towers in 2020. _____________________ 1 Including sites contracted to build or acquire View source version on Contacts Media Contacts For BCIOlga Petrycki+1 778 410 7310media@ For KKR Asia PacificWei Jun Ong+65 6922 For Pinnacle TowersHendrik-Jan KroonHendrik@

BCI Invests in KKR Tower Platform Pinnacle Towers
BCI Invests in KKR Tower Platform Pinnacle Towers

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According to the report: 'Many interviewed providers did not use GenAI for task execution; rather, they used classical AI technologies, such as ML models and rule-based logic. For example, using LM for reasoning but ML for task execution. This hybrid approach to agentic AI embeds transparency and reliability into task automation.' 'We believe, our inclusion in this Gartner report validates our focus on building trusted industrial AI solutions that deliver real operational value,' said Pieter van Schalkwyk, CEO of XMPro. 'Our hybrid approach to agentic AI, combining advanced language models with proven industrial AI techniques, directly addresses the trust challenges that organizations face when deploying autonomous systems in critical industrial environments.' 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XMPro's Approach to Trusted Industrial Agentic AI Through Composite AI: XMPro's intelligent business operations solution (iBOS) addresses the trust challenges identified in the Gartner report through its unique Composite AI framework that combines six complementary AI methodologies: •Truth-Grounded Architecture: Every AI recommendation passes through multiple validation layers including first-principles validation, symbolic rule enforcement, evidentiary reasoning, and multi-agent cross-checks, ensuring decisions are safe, explainable, and trusted •Hybrid AI Integration: Combines Generative AI for insight synthesis with Symbolic AI for rules-based intelligence, First Principles Models for physics-based validation, and Causal AI for root-cause discovery, addressing the report's emphasis on combining language models with classical AI •Agentic AI with Bounded Autonomy: Orchestrates coordinated teams of specialized AI agents that observe, reason, plan, and act, with configurable human oversight and flexible autonomy controls based on operational risk tolerance •Real-Time Industrial Observability: Built-in monitoring, tracing, and alerting mechanisms designed specifically for mission-critical industrial environments where equipment failure or safety incidents have major consequences •Domain-Specific Industrial Intelligence: Pre-configured for aerospace & defense, manufacturing, mining, oil & gas, utilities, and other asset-intensive industries, translating domain expertise into formal logic structures with clear, auditable reasoning chains •Multi-Agent Collaboration with Guardrails: Supports collaborative multi-agent teams that work together on complex industrial problems while enforcing safety protocols and operational constraints Organizations can learn more about XMPro's industrial agentic AI solutions at *Source: Gartner, 'Emerging Tech: Customer Trust Is a Critical Barrier to Agentic AI Adoption,' Danielle Casey, Alfredo Ramirez IV, Anushree Verma, Akhil Singh, Aakanksha Bansal, 2 June 2025 Gartner Disclaimer: Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. About XMPro XMPro is a leading industrial AI company that helps enterprises achieve measurable business outcomes through intelligent operations. The company's Multi-Agent Generative Systems (MAGS) platform combines industrial digital twins with trusted agentic AI to optimize operations, improve asset performance, and enhance decision-making in complex industrial environments. XMPro serves Global 2000 companies in manufacturing, mining, energy, utilities, and other asset-intensive industries, helping them navigate their industrial AI transformation journey with confidence. Wouter Beneke XMPro email us here Visit us on social media: LinkedIn Facebook YouTube X Legal Disclaimer: EIN Presswire provides this news content 'as is' without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.

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