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Walmart to Reward Hourly Store Workers with Up to $1,000 Bonuses as Tight Labor Market Pressures Employers to Offer Competitive Pay
⏲ 0:41 👁 365K
Sea survival
⏲ 4 minutes 12 seconds 👁 47.9K
EBS and CA-EBS - The difference and how to use it
⏲ 3 minutes 3 seconds 👁 3.3K
Fight Between Mike Tyson and Jake Paul Officially Rescheduled
⏲ 1:31 👁 90K
OPITO CAEBS - A Quick View for Emergency Deployment Training
⏲ 1 minute 18 seconds 👁 5.4K
Javelin Technicians at Uniteam: T-BOSIET+CA-EBS Training
⏲ 1 minute 23 seconds 👁 59
Session 17: Deployment of Machine Learning Models in Open RAN Networks
⏲ 4:9 👁 75K
MK50 and PSTASS EBS OPITO Training Video
⏲ 18 minutes 31 seconds 👁 20.8K
CA EBS Training offshore
⏲ 18 seconds 👁 36
Daisy Ridley trained with Olympian for swimming role
⏲ 1:15 👁 455K
How to use Emergency Breathing System and SAVE yourself before helicopter submersion
⏲ 1 minute 27 seconds 👁 2.3K
Helicopter underwater escape training - HUET
⏲ 31 seconds 👁 14.6K
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_walmart-to-reward-hourly-store-workers-with-up-to-361000-bonuses-as-tight-labor-market-pressures-employers-to-offer-comp.webp "Walmart announced it will pay bonuses of up to $1,000 per year to around 700,000 hourly store workers in the US, including those at its pharmacy and vision centers. Both part-time and full-time employees will be eligible for the bonus, which is calculated based on stores achieving certain performance targets. The bonuses are meant to boost wages for frontline staff and make Walmart more competitive, as some rivals pay a higher starting wage. Walmart also launched training programs to help store workers transition to higher-paying technician roles. The tight labor market has kept pressure on retailers to boost pay and benefits for workers.")
_sea-survival.webp "Ridzwan A. Rahim")
_ebs-and-ca-ebs-the-difference-and-how-to-use-it.webp "MSTS Asia")
_fight-between-mike-tyson-and-jake-paul-officially-rescheduled.webp "Fight Between , Mike Tyson and Jake Paul , Officially Rescheduled .<br/>'The Independent' reports that Mike Tyson's upcoming <br/>fight against Jake Paul has been rescheduled for <br/>November 15 at Arlington's AT&T Stadium in Texas.<br/>'The Independent' reports that Mike Tyson's upcoming <br/>fight against Jake Paul has been rescheduled for <br/>November 15 at Arlington's AT&T Stadium in Texas.<br/>The event will also host a championship bout between <br/>welterweight champ Katy Taylor and challenger <br/>Amanda Serrano in a highly-anticipated rematch.<br/>The event will also host a championship bout between <br/>welterweight champ Katy Taylor and challenger <br/>Amanda Serrano in a highly-anticipated rematch.<br/>Originally, the bout between 57-year-old <br/>Tyson and the much younger Paul was <br/>scheduled to take place on July 20.<br/>That date was postponed after Tyson had a medical <br/>issue regarding a flare-up of an ulcer problem <br/>and was advised to delay the fight. .<br/>In May, Tyson had a medical emergency <br/>on a flight from Miami to Los Angeles <br/>and needed medical treatment. .<br/>Our team has worked diligently <br/>with all parties involved to <br/>reschedule this monumental fight <br/>to a date that ensures both <br/>Jake Paul and Mike Tyson <br/>are fully prepared, .., Nakisa Bidarian, MVP co-founder, via 'The Independent'.<br/>Our team has worked diligently <br/>with all parties involved to <br/>reschedule this monumental fight <br/>to a date that ensures both <br/>Jake Paul and Mike Tyson <br/>are fully prepared, .., Nakisa Bidarian, MVP co-founder, via 'The Independent'.<br/>... with equal training time, <br/>as well as allowing us to keep <br/>the event at AT&T stadium in the <br/>midst of the Cowboys season, Nakisa Bidarian, MVP co-founder, via 'The Independent'.<br/>Paul v Tyson is the most cross <br/>generational sporting event in <br/>history, and we are committed <br/>to providing fans worldwide <br/>with this unforgettable night of <br/>boxing, live globally on Netflix, Nakisa Bidarian, MVP co-founder, via 'The Independent'.<br/>Paul v Tyson is the most cross <br/>generational sporting event in <br/>history, and we are committed <br/>to providing fans worldwide <br/>with this unforgettable night of <br/>boxing, live globally on Netflix, Nakisa Bidarian, MVP co-founder, via 'The Independent'.<br/>'The Independent' points out that Paul is 30 years <br/>younger than former heavyweight champion Tyson, <br/>whose professional boxing career ended in 2005. .<br/>'The Independent' points out that Paul is 30 years <br/>younger than former heavyweight champion Tyson, <br/>whose professional boxing career ended in 2005. .<br/>We look forward to seeing <br/>everyone on Friday November 15 <br/>for a showdown that will be talked <br/>about for generations to come, Nakisa Bidarian, MVP co-founder, via 'The Independent'")
_opito-caebs-a-quick-view-for-emergency-deployment-training.webp "MSTS Asia")
_javelin-technicians-at-uniteam-t-bosietca-ebs-training.webp "Javelin Services - Intelligent Pest Control")
_session-17-deployment-of-machine-learning-models-in-open-ran-networks.webp "Welcome back to our journey through the world of Open RAN and machine learning. In this session, In this session, we'll explore the deployment of machine learning models in Open RAN networks, focusing on practical examples and deployment strategies.<br/><br/>Deployment Example:<br/>Consider a scenario where an Open RAN operator wants to optimize resource allocation by predicting network congestion. They decide to deploy a machine learning model to predict congestion based on historical traffic data and network conditions.<br/><br/>Deployment Steps:<br/><br/>1. Data Collection and Preprocessing:<br/>The operator collects historical traffic data, including throughput, latency, and user traffic patterns.<br/>They preprocess the data to remove outliers and normalize features.<br/><br/>2. Model Development:<br/>Data scientists develop a machine learning model, such as a regression model, to predict congestion based on the collected data.<br/>They use a development environment with libraries like TensorFlow or scikit-learn for model development.<br/><br/>3. Offline Model Training and Validation (Loop 1):<br/>The model is trained on historical data using algorithms like linear regression or decision trees.<br/>Validation is done using a separate dataset to ensure the model's accuracy.<br/><br/>4. Online Model Deployment and Monitoring (Loop 2):<br/>Once validated, the model is deployed in the network's edge servers or cloud infrastructure.<br/>Real-time network data, such as current traffic conditions, is fed into the model for predictions.<br/>Model performance is monitored using metrics like prediction accuracy and latency.<br/><br/>5. Closed-Loop Automation (Loop 3):<br/>The model's predictions are used by the network's orchestration and automation tools to dynamically allocate resources.<br/>For example, if congestion is predicted in a certain area, the network can allocate additional resources or reroute traffic to avoid congestion.<br/><br/>Subscribe to \")
_mk50-and-pstass-ebs-opito-training-video.webp "StepChangeInSafety")
_ca-ebs-training-offshore.webp "la Galaxie Consult")
_daisy-ridley-trained-with-olympian-for-swimming-role.webp "Daisy Ridley spent months training with Olympic athlete Siobhan-Marie O’Connor for her new role as a marathon swimmer in 'Young Woman and the Sea'.")
_how-to-use-emergency-breathing-system-and-save-yourself-before-helicopter-submersion.webp "MSTS Asia")
_helicopter-underwater-escape-training-huet.webp "STIER")
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