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Videotron Ltd. Announces Closing of Private Offering of US$700 Million Senior Notes due 2035

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MONTRÉAL, Nov. 8, 2024 /CNW/ – Videotron Ltd. (“Videotron”) today announced the closing of its issuance and sale of US$700 million aggregate principal amount of 5.700% Senior Notes due January 15, 2035 as previously announced on November 4, 2024 (the “Notes”).

“A few months after its first issuance of investment grade notes in Canadian dollars, I am very proud to announce that Videotron has just completed its first issuance of investment grade notes in US dollars,” said Pierre Karl Péladeau, President and Chief Executive Officer of Quebecor. “The great success of this transaction demonstrates the North American financial markets’ trust in Videotron, enabling it to diversify its sources of financing and reduce its borrowing costs,” he added.

The securities mentioned herein have not been and will not be registered under the United States Securities Act of 1933 or applicable state securities laws, and the Notes may not be offered or sold in the United States absent registration or an applicable exemption from registration. The Notes are being offered in Canada on a private placement basis in reliance upon exemptions from the prospectus requirements under applicable securities legislation. The Notes have not been and will not be qualified for sale to the public under applicable securities laws in Canada and, accordingly, any offer and sale of the Notes in Canada will be made on a basis which is exempt from the prospectus and dealer registration requirements of such securities laws.

This news release shall not constitute an offer to sell or the solicitation of an offer to sell or the solicitation of an offer to buy any securities, nor shall there be any sale of securities in any jurisdiction in which such offer, solicitation or sale would be unlawful prior to registration or qualification under the securities laws of any such jurisdiction.

Videotron, a wholly owned subsidiary of  Quebecor Media Inc., is an integrated communications company engaged in television, entertainment, Internet access, wireline telephone and mobile telephone services. 

Forward‑Looking Statements

This news release contains “forward-looking information” within the meaning of applicable Canadian securities legislation and “forward-looking statements” within the meaning of United States federal securities legislation (collectively, “forward-looking statements”). All statements other than statements of historical facts included in this press release, including statements regarding the prospects of our industry and our prospects, plans, financial position and business strategy, may constitute forward-looking statements. These forward-looking statements are based on current expectations, estimates, forecasts and projections about the industries in which we operate as well as beliefs and assumptions made by our management. Such statements include, in particular, statements about our plans, prospects, financial position and business strategies. Words such as “may,” “will,” “expect,” “continue,” “intend,” “estimate,” “anticipate,” “plan,” “foresee,” “believe,” or “seek,” or the negatives of these terms or variations of them or similar terminology, are intended to identify such forward-looking statements. Although we believe that the expectations reflected in those forward-looking statements are reasonable, these statements, by their nature, involve risks and uncertainties and are not guarantees of future performance. Such statements are also subject to assumptions concerning, among other things: our anticipated business strategies; anticipated trends in our business; anticipated reorganizations of any of our segments or businesses, and any related restructuring provisions or impairment charges; and our ability to continue to control costs. We can give no assurance that these estimates and expectations will prove to have been correct. Actual outcomes and results may, and often do, differ from what is expressed, implied or projected in such forward-looking statements, and such differences may be material. Some important factors that could cause actual results to differ materially from those expressed in these forward-looking statements include, but are not limited to: our ability to successfully continue developing our network and facilities-based mobile services; general economic, financial or market conditions and variations in our businesses; the intensity of competitive activity in the industries in which we operate; new technologies that might change consumer behaviour toward our product suite; unanticipated higher capital spending required to develop our network or to address the continued development of competitive alternative technologies, or the inability to obtain additional capital to continue the development of our business; our ability to implement successfully our business and operating strategies and manage our growth and expansion; risks relating to the acquisition of Freedom Mobile Inc. (“Freedom”), including our ability to successfully integrate Freedom’s operations and to realize synergies, and potential unknown liabilities or costs associated with the acquisition of Freedom; the anticipated benefits and effects of the acquisition of Freedom, which may not be realized in a timely manner or at all, and ongoing operating costs and capital expenditures, which could be different than anticipated, as well as unanticipated litigation or other regulatory proceedings associated with the acquisition of Freedom, which could result in changes to the parameters of the transaction; the impacts of the significant and recurring investments that will be required in our new Freedom, Videotron mobile virtual network operator and other markets for development and expansion and to compete effectively with the incumbent local exchange carriers and other current or potential competitors in these markets, including the fact that the post acquisition our business will continue to face the same risks that we currently face, but will also face increased risks relating to new geographies and markets; disruptions to the network through which we provide our digital television, Internet access, mobile and wireline telephony and over-the-top video services, and our ability to protect such services from piracy, unauthorized access or other security breaches; labour disputes or strikes; service interruptions resulting from equipment breakdown, network failure, the threat of natural disasters, epidemics, pandemics and other public health crises and political instability in some countries;  the impact of emergency measures implemented by various levels of government; changes in our ability to obtain services and equipment critical to our operations; changes in laws and regulations, or in their interpretations, which could result, among other things, in the loss (or reduction in value) of our licenses or markets or in an increase in competition, compliance costs or capital expenditures; our substantial indebtedness, the tightening of credit markets, and the restrictions on our business imposed by the terms of our debt; and interest rate fluctuations that affect a portion of our interest payment requirements on long-term debt. We caution you that the above list of cautionary statements is not exhaustive. These and other factors could cause actual results to differ materially from our expectations expressed in the forward-looking statements included in this press release, and you are encouraged to read “Item 3. Key Information – Risk Factors” as well as statements located elsewhere in Videotron’s annual report on Form 20-F for the year ended December 31, 2023, and Videotron’s Quarterly Report under Form 6-K for the three- and nine- month periods ended September 30, 2024, including Management’s Discussion and Analysis and unaudited interim condensed consolidated financial statements included therein, for further details and descriptions of these and other factors. Each of these forward-looking statements speaks only as of the date of this press release. We will not update these statements unless applicable securities laws require us to do so.

SOURCE Videotron Ltd.

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

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42 minutes ago

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July 24, 2026

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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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42 minutes ago

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July 24, 2026

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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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42 minutes ago

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July 24, 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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