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    natwest group

    Explore " natwest group" with insightful episodes like "Ep - 53 Stop Your Bank Account Being Frozen", "Steering a $12 billion bank through crises, with purpose and profits" and "Your First MLOps System: What Does Good Look Like? with Andy McMahon" from podcasts like ""Mrs Mean Money Show", "The Sketch" and "ML Platform Podcast"" and more!

    Episodes (3)

    Ep - 53 Stop Your Bank Account Being Frozen

    Ep - 53  Stop Your Bank Account Being Frozen

    Having your bank account frozen or closed can be very costly in financial terms, and damage your reputation and credit profile into the bargain. 
    While Nigel Farage was able to get full attention when Coutts Bank told him it wanted to close his account, most customers are on their own, and may not even to be able to get through to someone at their bank who can help them. 
    Banking legislation is intended to stop fraudsters and money launderers to use the banking systems, hundreds of thousands of bank customers fall foul of the algorithms used by banks to identify wrongdoing.  
    We are largely creatures of habit so any unusual payment, in or out of our accounts,  may alert banks, but they do not ask customers about the unusual transactions. 
    Banks are supposed to give customers 30 days' notice of a planned  closure, but they very rarely do. 
    Often the first hint customers get that their bank account is not working is when a direct debit is not paid or a cash machine refuses to give you cash.  
    This is the time for customers to check their accounts to see if anything has changed or if big sums have been banked and to tell the bank what the "suspicious" transaction really is.   It may be a maturing investment, an inheritance, the proceeds of a property sale, or gifts from a relative or friend to help out during the cost-of-living crisis.  
    People taking on second jobs to pay their bills may also  be suspected of wrong doing.
    The more evidence you can provide the sooner the account should be freed up. 
    With luck the publicity about Mr Farage should help the thousands of other customers who find themselves locked out of their accounts every week.   

    Please send ideas questions, tips and warnings about rip-offs to Mrs Mean through the contact page on her website: mrsmeanmoneyshow.co.uk or to infomrsmean@gmail.com

    Steering a $12 billion bank through crises, with purpose and profits

    Steering a $12 billion bank through crises, with purpose and profits
    Alison Rose became the CEO of Natwest Group in November 2019 and has since had to steer the bank through Brexit, the Covid 19 crisis and now the Russia-Ukraine war and high inflation. In this episode, she tells Mint editor-in-chief Sruthijith KK about helming a major banking institution through covid and macroeconomic headwinds and delivering a strong financial performance through it all, the banks with more than 14,000 employees in India that’s its “technology and innovation hub”, leading with purpose, what organisations can do to foster and support women leaders and whether the Queen has ever called her with customer service complaints (The Queen’s bank—Coutts—is part of Natwest).

    Your First MLOps System: What Does Good Look Like? with Andy McMahon

    Your First MLOps System: What Does Good Look Like? with Andy McMahon
    In this episode of MLOps Live, Sabine and Stephen are joined by Andy McMahon, Machine Learning Engineering Lead of the NatWest Group. They explore concepts around building your first MLOps systems and how teams can understand the processes of optimizing level 0 operations and move towards scalability. As soon as you commit a piece of code, a properly mature MLOps pipeline may be so powerful that it may be put into production immediately. However, attaining this level of maturity is extremely uncommon. Therefore, it becomes crucial to outline the requirements for creating a system that simplifies future operations, lowers failed deployments, and boosts performance. The goal is to build an MLOps system that you can easily iterate on and would not break when the time for scale and integrating components (such as model registry and feature stores) arrive. Andy demonstrates how a basic model with an optimal MLOps infrastructure will yield value more quickly than a complex model that is thrown over the fence, which may result in resource wastage. Teams can begin by redefining the deliverable expectations, simplifying them to what is truly necessary, utilizing available tools, and constantly realigning operational considerations to the business problem to be solved. Andy outlines several essential ideas, from the most basic level (MLOps at level 0), which includes no automation, to the most advanced one (MLOps level 1 and 2), which involves automating both machine learning and CI/CD pipelines.
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