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3D Systems announced it will release its financial results for the fourth quarter and full year 2025 before the U.S. stock market opens on Monday, March 9, 2026. The company will hold a conference call and simultaneous webcast to discuss these financial results on Monday, March 9, 2026 at 8:30 a.m. Eastern Time.  Fourth Quarter and Full Year 2025 Financial Results Conference Call Date: Monday, March 9, 2026 Time: 8:30 a.m. Eastern Time Listen via webcast: www.3dsystems.com/investor Participate via telephone: 201-689-8345 or 877-407-8291 The webcast replay will be available approximately two hours after the end of the conference call at www.3dsystems.com/investor. Ericsson Annual Report 2025 published 04 March 2026 Ericsson has published its Annual Report 2025. The report summarizes the company’s financial and sustainability performance for the year, and provides an overview of its strategy, governance, and remuneration of the President and CEO and the Executive Vice President.  The Annual Report 2025 comprises Ericsson’s Financial Report including the Sustainability Statement, the

Rockwell Automation, Inc. SVP and CFO, Christian Rothe, and VP, Investor Relations and Market Strategy, Aijana Zellner, will present at the 2026 J.P. Morgan Industrials Conference on Tuesday, March 17, 2026, in Washington, D.C. The fireside chat will be webcast beginning at approximately 10:50 a.m. EDT and will be available on the Rockwell Automation Investor Relations website at www.rockwellautomation.com/en-us/investors.html. To view the original press release, please click here. Search for Rockwell Automation on CIMdata.com

Keysight Technologies, Inc. has collaborated with Qualcomm Technologies, Inc. to demonstrate machine learning (ML)-based Channel State Information (CSI) compression to enhance link adaptation efficiency in advanced Multiple-Input Multiple-Output (MIMO) systems at Mobile World Congress (MWC) Barcelona 2026. In a controlled lab validation, the ML-based CSI feedback method achieved more than 40 percent downlink throughput improvement compared to 3GPP eType II CSI reporting in four-layer (rank-4) operation. The demonstration will be featured live at the Keysight booth (Hall 5, #5F41). As 5G-Advanced networks use more antennas and wider channels, CSI becomes increasingly important in how the network steers beams and selects the right transmission settings. However, sending more detailed CSI can increase uplink reporting overhead, especially for higher-layer MIMO, creating a tradeoff between performance and signaling efficiency. To address this, Keysight and Qualcomm Technologies tested a mobile test platform powered by a Qualcomm® 5G Modem-RF, together with Keysight’s network emulation solutions in a repeatable lab environment. Under

Flexxbotics, the autonomous manufacturing platform leader, announced that Orizon Aerostructures (Orizon), an organically grown, vertically integrated, aerospace technology company manufacturing the largest, most complex structural components in the commercial aerospace, defense, and space markets, has deployed Flexxbotics to advance process trend intelligence, automated manufacturing compliance, and autonomous process control across its production operations. Orizon is using Flexxbotics to enable greater manufacturing autonomy by connecting, mapping, and digitalizing critical factory assets with multi-source data from plant equipment, parts, automation, and tooling for autonomous process control. Multimodal data pipelines bring together CNC operating conditions – including spindle and axis servo loads – with robot joint loads and temperatures, probe measurements, and numerous other high-frequency production data streams. This contextualized data set feeds closed-loop process trend adjustments in Flexxbotics and is structured for Industrial AI training, validation, and inference. “As we continue scaling precision production to meet the highest quality levels in aerospace manufacturing, data-driven

Wipro Limited, a leading AI-powered technology services and consulting company, announced the appointment of Ms. Laura Marie Miller to its Board of Directors. Ms. Miller brings more than two decades of executive leadership experience guiding large, global organizations through transformation, modernization, and sustained performance improvement. She is widely recognized for helping enterprises navigate technology and AI-driven change, aligning digital and data capabilities with business strategy to drive growth and long-term resilience. She has held senior leadership roles across retail, hospitality, payments, and global technology operations, working closely with boards and executive teams during periods of significant change. As a member of the executive leadership team at Macy’s, Ms. Miller played a central role in shaping the company’s digital, data, and AI strategy. Earlier, she held global leadership roles at InterContinental Hotels Group and First Data. Ms. Miller brings significant public company board experience. She previously served as a director of EVO Payments during

Tech Mahindra, a leading global provider of technology consulting and digital solutions to enterprises across industries, announced collaboration with Microsoft to launch an ontology-driven Agentic AI platform that accelerates telecom and enterprise data modernization. Built on Microsoft Fabric and Azure AI Foundry, the solution enables explainable, auditable, and real-time AI-powered decision-making while supporting secure, governed deployment of AI agents. As telecom operators and enterprises expand through mergers and acquisitions and manage increasingly complex data ecosystems, the gap between enterprise metadata and actionable insight continues to grow. Together, Tech Mahindra and Microsoft will address this challenge by transforming enterprise metadata into structured, reusable data products that fast-track data mesh adoption from strategy to execution. Through multi-agent orchestration, the platform enables real-time monitoring, reasoning, and recommendations across key telecom use cases such as churn prediction, fraud detection, revenue assurance, and network optimization. Its semantic-first design helps reduce hallucination risk, improves root-cause analysis, and

Infosys, a global leader in next-generation digital services and consulting, and Intel, a global leader in computing innovation, announced the next phase of their strategic collaboration to help enterprises move from AI pilots to production at scale. The expanded collaboration brings together Intel’s high-performance, energy-efficient compute platforms and Infosys Topaz Fabric – a purpose-built agentic services suite – a multi-layer AI fabric that unifies infrastructure, models, data, applications, and workflows into a composable, agent-ready ecosystem. Combining the secure, modular architecture of Infosys Topaz Fabric with Intel’s scalable, open hardware and software stack, the collaboration aims to advance open standards across the edge-to-cloud stack and accelerate scalable, secure, and cost-efficient enterprise AI deployments with measurable global impact. Together, Infosys and Intel are co-innovating on the design, development, optimization, and benchmarking of AI workloads across Intel® Xeon® processors, Intel® Gaudi® AI accelerators, and Intel® AI PCs. The collaboration emphasizes “right-sized” AI architectures that balance performance, security, and

CGI, one of the world’s largest independent IT and business consulting services firms, has been named European Channel Partner of the Year by Informatica, a global leader in enterprise cloud data management. This marks the second consecutive year that CGI has earned the recognition, reflecting the company’s sustained delivery excellence across Europe in helping clients generate measurable business value using Informatica’s market-leading solutions for intelligent data management and accelerated AI readiness. “Earning Partner of the Year for the second year is a meaningful recognition of our approach to helping clients drive business outcomes from AI. I’m incredibly proud of our teams across Europe who prove every day that when deep expertise meets industry knowledge and strong collaboration, great things happen,” said Dirk de Groot, President for CGI’s operations in Scandinavia, Northwest and Central-East Europe. “CGI is a long-standing Informatica partner, proactively engaging with our joint customers to modernize their data ecosystems to deliver

Acumatica is an award-winning, cloud-based ERP solution that’s been setting the ERP space on fire since 2008. We’ve experienced unmatched growth, going from 240 to more than 800 employees in the past six years alone, flying past the 10,000 customer mark (with more customers from around the world joining us every day), and adding numerous partners, including VARs, Service Partners, and Alliance Partners, to our worldwide Community. Acumatica CEO John Case, in his 2025 year in review, writes that we also grew our dynamic Marketplace with 50 new strategic Independent Software Vendor (ISV). This brings our total partner count to over 500! It’s truly an exciting time, but even as we celebrate phenomenal growth, we recognize that we need to strategically and thoughtfully expand our global footprint to best support the needs of our customers and our partner ecosystem. That’s why we launched new—and expanded existing—international Acumatica offices, each one with talented engineers, developers, services and support professionals

 PDF How manufacturing leaders unlock value from AI by aligning strategy, data, and organizational change Takeaways To scale, AI must be lifecycle-aware. Point solutions consistently fail when they lack context across requirements, engineering, manufacturing, service, and other lifecycle functions, limiting their ability to deliver sustained value beyond localized optimization. AI delivers business value only when it can be trusted at scale. When AI outputs are grounded in authoritative, governed product data, organizations can make faster and more confident decisions while reducing risks to quality, compliance, and intellectual property. PLM-centered data governance is foundational. Trusted product structures, configurations, and change histories are prerequisites for effective AI deployment and for achieving sustained adoption across engineering, manufacturing, and service organizations. Explainability and traceability are mandatory in engineering contexts. AI output must be auditable, defensible, and clearly linked to lifecycle artifacts to meet engineering authority, regulatory, and safety requirements. Closed-loop learning delivers the highest long-term value. Feedback from manufacturing, quality, and