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Pascal Desroches to Update Shareholders at Deutsche Bank Media, Internet & Telecom Conference on March 11

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DALLAS, March 10, 2025 /CNW/ — Tomorrow, AT&T’s chief financial officer will participate in a fireside chat where he will discuss the Company’s multi-year strategic growth plan.

Key Takeaways:

AT&T is embarking on a multi-year strategic growth plan that centers around putting customers first and continued network investment.AT&T continues to make progress on becoming the best connectivity provider in America and remains on track to meet all of the financial and operational guidance and capital allocation plans shared during its fourth quarter 2024 earnings conference call and its 2024 Analyst & Investor Day.AT&T expects to report strong free cash flow in the first quarter as well as the receipt of more than $2 billion in cash proceeds and payments related to previously announced transactions.

Pascal Desroches, chief financial officer, AT&T Inc. (NYSE:T), will speak tomorrow at the Deutsche Bank Media, Internet & Telecom Conference where he will provide an update to shareholders.

AT&T remains on track to achieve its 2025 consolidated financial guidance and deliver on its multi-year outlook

AT&T remains on track to meet all of the 2025 and multi-year financial and operational guidance and capital allocation plans shared during its fourth quarter 2024 earnings conference call and at its 2024 Analyst & Investor Day.

As previously disclosed, beginning in 2025, AT&T’s reported free cash flow and adjusted EPS will exclude DIRECTV. The Company has provided a recast of historical results for these two financial measures in its Form 8-K dated December 3, 2024.

The Company continues to expect full-year adjusted EPS of $1.97 to $2.07 and expects first-quarter adjusted EPS of approximately $0.48, or higher. This would result in adjusted EPS in the first quarter of 2025 that is consistent with, or better than, the first quarter of 2024, when excluding DIRECTV from the prior year.

The Company continues to expect full-year free cash flow of $16 billion+ and expects first-quarter free cash flow of approximately $2.8 billion, or higher. This would result in free cash flow in the first quarter of 2025 that is consistent with, or better than, the first quarter of 2024, when excluding DIRECTV from the prior year.

In addition, during the first quarter of 2025, AT&T expects to receive approximately $1.4 to $1.5 billion of cash payments from DIRECTV related to its agreement to sell its 70% stake in DIRECTV to TPG. The Company continues to expect to close the sale by mid-2025, and to receive total after-tax cash payments related to this transaction of $5.4 billion in 2025, as well as after-tax cash payments of $500 million in 2029.

In the first quarter, the Company also received more than $850 million in cash proceeds from the previously announced structured sale-leaseback of real estate to Reign Capital. Cash received related to the DIRECTV and Reign Capital transactions are not included in AT&T’s free cash flow.

The Company continues to expect to achieve its net leverage target of net-debt-to-adjusted EBITDA in the 2.5x range in the first half of 2025 and maintain leverage within this range through 2027.

Conference details and more are available on the AT&T Investor Relations website

Full conference details are posted on the AT&T Investor Relations website, including a replay of the webcast. To automatically receive AT&T financial news by email, please subscribe to email alerts.

Non-GAAP Measures and Reconciliations to GAAP Measures Adjusted diluted EPS is calculated by excluding from operating revenues, operating expenses, other income (expenses) and income tax expense, certain significant items that are non-operational or non-recurring in nature, including dispositions and merger integration and transaction costs, actuarial gains and losses, significant abandonments and impairments, benefit-related gains and losses, employee separation and other material gains and losses. The tax impact of adjusting items is calculated using the effective tax rate during the quarter except for adjustments that, given their magnitude, can drive a change in the effective tax rate, in these cases, we use the actual tax expense or combined marginal rate of approximately 25%. The Company expects adjustments to 2025 reported diluted EPS to include an adjustment to remove equity in net income of DIRECTV, a non-cash mark-to-market benefit plan gain/loss, and other items. The adjustment to remove the equity in net income of DIRECTV is dependent upon cash distributions from DIRECTV and the timing of the closing of the sale of our DIRECTV investment, which is expected in mid-2025. The Company expects the mark-to-market adjustment, which is driven by interest rates and investment returns that are not reasonably estimable at this time, to be a significant item. Our projected first-quarter and full-year 2025 adjusted EPS depends on future levels of revenues and expenses, most of which are not reasonably estimable at this time. Accordingly, we cannot provide a reconciliation between this projected non-GAAP metric and the most comparable GAAP metric without unreasonable effort.

Free cash flow is defined as cash from operations minus cash flows related to our DIRECTV equity method investment (cash distributions less cash taxes paid from DIRECTV), minus capital expenditures and cash paid for vendor financing (classified as financing activities). First-quarter 2025 projected free cash flow of $2.8 billion, or higher, includes cash from operations of approximately $8.4$8.6 billion, minus approximately $1.4$1.5 billion of cash flows related to DIRECTV, which includes a special distribution of $1.138 billion, minus approximately $3.9$4.1 billion of capital expenditures and $0.2 billion of cash paid for vendor financing. Due to high variability and difficulty in predicting items that impact cash from operating activities, capital expenditures and vendor financing payments, the Company is not able to provide a reconciliation between full-year 2025 projected free cash flow and the most comparable GAAP metric without unreasonable effort.

Cautionary Language Concerning Forward-Looking Statements

Information set forth in this news release contains financial estimates and other forward-looking statements that are subject to risks and uncertainties, and actual results might differ materially. A discussion of factors that may affect future results is contained in AT&T’s filings with the Securities and Exchange Commission. AT&T disclaims any obligation to update and revise statements contained in this news release based on new information or otherwise. This news release may contain certain non-GAAP financial measures. The Company cannot provide a reconciliation between projected net debt-to-adjusted EBITDA and the most comparable GAAP metrics and related ratios without unreasonable effort. Reconciliations between the non-GAAP financial measures and the GAAP financial measures are available below and on the company’s website at investors.att.com.

About AT&T

We help more than 100 million U.S. families, friends and neighbors, plus nearly 2.5 million businesses, connect to greater possibility. From the first phone call 140+ years ago to our 5G wireless and multi-gig internet offerings today, we @ATT innovate to improve lives. For more information about AT&T Inc. (NYSE:T), please visit us at about.att.com. Investors can learn more at investors.att.com.

© 2025 AT&T Intellectual Property. All rights reserved. AT&T and the Globe logo are registered trademarks of AT&T Intellectual Property.

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SOURCE AT&T

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JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

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A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network

LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”

“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”

JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software

Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

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Video: CNPC offers green chemical answer

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BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:

Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.

Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.

View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/video-cnpc-offers-green-chemical-answer-302834036.html

SOURCE chinadaily.com.cn

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Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026

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Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents

SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.

Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.

“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.

Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:

“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.

Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.

Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.

These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.

Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”

Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.

SOURCE Shanghai Electric

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