| | APRIL, 20258LNER EXPANDS AI SYSTEM TO PREDICT AND PREVENT TRAIN DELAYSUS aircraft maker Boeing has laid off approximately 180 employees of its Bengaluru-based Boeing India Engineering and Technology Center (BIETC) as the company proceeds with its decision to reduce the worldwide workforce. The employee cuts were executed during the December 2024 quarter and followed the earlier-announced program of Boeing to reduce the worldwide workforce by 10 percent.Even though the company did not issue a statement regarding the layoff, the company termed the layoff "strategic adjustments" to enable it to consolidate operations. Boeing made it a condition that customer service, government operations, and safety standards would not be touched by the restructuring. While a few jobs phased out, other jobs have been created in other areas to help the company achieve its evolving business needs.India is among the most critical markets for Boeing, with around 7,000 staff nationwide. Nearly 6,500 employees are located within BIETC's Bengaluru and Chennai offices, working on intricate aerospace engineering and playing an important role in the group's global business. Boeing has, despite the layoffs, announced an ongoing focus on operational excellence and customer satisfaction.The Indian workforce reduction is part of a larger Boeing's restructuring strategy is designed to address challenges globally, from supply chain setbacks to increased competition. The corporation has faced significant headwinds in the past few years, prompting a strategic focus on adapting its workforce and assets. LNER's team of machine learning specialists has created a technology designed to forecast train delays.This technology-driven driven system has successfully undergone trials at Peterborough and Newark Northgate stations, resulting in improved dwell times for LNER trains at these locations. Data gathered during the trial indicated that more than 450 potential delays were averted. As a result, LNER is now rolling out this technology across its entire station network, with the expectation that it will aid in maintaining timely train operations. The system analyzes historical train performance data and incorporates variables such as passenger numbers and weather conditions. It utilizes this information to identify services at LNER stations that may experience delays.All LNER personnel can access this tool through their work mobile devices. They will utilize it to pinpoint services at risk of delay and to understand the anticipated reasons for these delays. This capability allows station staff to plan effectively and tailor their support to better address passenger needs. After facing significant service disruptions in the past two months, the operator is optimistic that this initiative will enhance the smoothness of train services by embracing technology , business operations and improve passenger journeys. BOEING LAYOFFS 180 JOBS AT BENGALURU ENGINEERING & TECH UNITJUST IN
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