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New Boeing Location at Embry-Riddle Will Bring 400 High-Paying Jobs to Florida

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Central Florida will become the new home to a Boeing engineering center of excellence, which will advance the future of aviation and aerospace locally, statewide and nationally.

DAYTONA BEACH, Fla., June 11, 2024 /PRNewswire-PRWeb/ — Embry-Riddle Aeronautical University and Boeing formally announced a new partnership Tuesday, June 11, 2024, that will bring 400 high-paying jobs to Volusia County, Florida, through 2026. New employees at this state-of-the-art center of excellence will perform engineering work for Boeing’s Defense, Space and Security aircraft programs and advanced technology capabilities.

“By leveraging corporate partnerships, we’ve created a career pipeline that initially funnels students toward hands-on learning opportunities and, ultimately, fills jobs in the critical sectors of aviation, aerospace and STEM-related fields.” – Embry-Riddle President P. Barry Butler, Ph.D.

Boeing will lease the entire Cici and Hyatt Brown Center for Aerospace Technology, located in Embry-Riddle’s Research Park, on the university’s Daytona Beach Campus. The center, which has been under construction for the past two years, will open for business by fall of 2024.

By year’s end, Boeing has committed to employ 200 highly trained workers at its new facility, aptly named Boeing Daytona Beach. The other 200 roles are set to be filled over the course of 2025-2026.

“Today is a momentous day — not just for Embry-Riddle or for the city of Daytona Beach, but for all of Florida,” said Mori Hosseini, chairman of Embry-Riddle’s Board of Trustees. “Four-hundred people and their loved ones will live and work here, invest in our local economy and, more broadly, in the future of aviation and aerospace. It’s an incredible impact, and it wouldn’t have been possible without the State of Florida, and Cici and Hyatt Brown.”

Philanthropists Cici and Hyatt Brown, who pledged $25 million to Embry-Riddle in 2022 — matching $25 million in support approved by Florida legislators that year and marking the single largest gift in university history — had lofty ambitions for their donation. Their goal was to create high-paying jobs through a revolutionary business makerspace at Embry-Riddle, and this goal was fully realized June 11.

“Our focused mission, now and in the future, is economic enhancement of entities in Volusia County that positively affect the quality of life for all our citizens,” Hyatt Brown said, after making the gift. “Embry Riddle Aeronautical University and other fine academic institutions are economic growth engines that augment and embellish local median family incomes and prepare citizens for productive, sustainable and visionary careers for generations to come.”

Community Impact

As part of its transition into the area, Boeing will make a $100,000 investment into several Volusia County nonprofit organizations.

To kick off this effort, the company will provide funding to support the Second Harvest Food Bank of Volusia County Schools Partnership Program, which offers a student-centered approach to increasing access to nutritious food for students facing hunger. Additional funding has been designated for local organizations supporting veterans and environmental programs in the area.

Later this fall, Boeing will also launch the DreamLearners Program in Volusia County Schools. The award-winning program offers students the opportunity to participate in hands-on Science, Technology, Engineering and Mathematics (STEM) programs, and learn about careers in aerospace.

Those contributions are just a precursor to the broader economic impact Boeing will have on Volusia County, and on Florida, however.

According to Embry-Riddle President P. Barry Butler, Ph.D., community impact has always been a priority for the university — both in developing the next generation of highly skilled workers to step into high-paying positions, but also in creating a hub where the business and education sectors can meet and collaborate.

“The launch of our Research Park in 2017 marked a new era for Embry-Riddle,” Butler said. “By leveraging corporate partnerships, we’ve created a career pipeline that initially funnels students toward hands-on learning opportunities and, ultimately, fills jobs in the critical sectors of aviation, aerospace and STEM-related fields.”

And those efforts have paid off. According to an independent economic assessment released in 2021, Embry-Riddle’s Research Park generated $137 million in total economic impact in Florida, increasing the facility’s previous impact, reported in 2019, by 50%. In that same assessment, the park’s cornerstone facility, the “MicaPlex” (John Mica Engineering and Aerospace Innovation Complex), was also shown to have directly created over 120 jobs with an average salary of over $78,000.

Today, Boeing’s arrival promises to further expand those career, economic and community benefits.

Employment Opportunities

Boeing is committed to expanding the engineering work for its Defense, Space and Security programs and advanced technology capabilities at Boeing Daytona Beach.

“Increasing both our footprint in Florida and partnership with Embry-Riddle will accelerate innovation across combat aircraft programs,” said Steve Nordlund, Boeing Air Dominance vice president and general manager. “We expect this location to be attractive to not only Embry-Riddle graduates but also established aerospace engineers from across Florida and around the nation.”

At least 200 jobs will be filled at the new facility by the end of 2024. Learn more about Volusia County and life in Florida from Team Volusia. Information on career opportunities, and a portal through which to apply for positions, will be available online soon.

Media Contact

Mike Cavaliere, Embry-Riddle Aeronautical University, 386.226.4838, mike.cavaliere@erau.edu, www.erau.edu

Sarah Barczyk, Embry-Riddle Aeronautical University, 386.226.4811, sarah.barczyk@erau.edu, www.erau.edu

View original content to download multimedia:https://www.prweb.com/releases/new-boeing-location-at-embry-riddle-will-bring-400-high-paying-jobs-to-florida-302169779.html

SOURCE Embry-Riddle Aeronautical University

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

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47 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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View original content:https://www.prnewswire.co.uk/news-releases/jams-launches-ai-for-enterprise-job-scheduling-jax-and-jams-mcp-on-the-model-you-choose-302833908.html

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Video: CNPC offers green chemical answer

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47 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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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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