DSU - Banking on Data: How a data strategy can transform Financial Services | Amazon Web Services
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Amazon Web Services782 тыс
Опубликовано 13 сентября 2024, 18:04
In today's digital age, data has become a critical asset for banks to stay competitive and deliver exceptional customer experiences. This video explores current data trends, challenges, and opportunities in the banking industry, and how organizations can leverage data to drive innovation and growth.
We start by examining the current data trends shaping the banking landscape, including the rise of fintech, the need for personalized experiences, and the increased importance of data-driven decision-making.
Next, we delve into the challenges banks face when implementing a data strategy, such as data silos, legacy systems, and regulatory compliance.
The video then showcases how leading banks are responding to these challenges by adopting a data-driven approach. We highlight the case of NatWest Group in the UK, which focused on federating data quality across the organization, building an internal use case to assess customer lifetime value, and subsequently scaling their data strategy to enable wider machine learning deployment and continuous improvement.
We also explore the areas where banks can benefit from being data-driven, such as risk management, fraud detection, customer acquisition, and personalized product recommendations. The video features the example of BlueVine, a banking service platform in the US, which leveraged Amazon Textract to automate document processing, helping thousands of businesses receive funds during the Paycheck Protection Program (PPP) and saving over 400,000 jobs.
We close with practical recommendations for organizations to get started on their data strategy journey, including identifying key use cases, building a data-driven culture, and investing in the right technology and talent.
Whether you're a banking professional, a data enthusiast, or simply interested in the intersection of technology and finance, this video offers valuable insights and real-world examples to help you understand the importance of a data strategy in financial services.
Learn more at: go.aws/4ehIzV2
Chapters:
00:00 - 1:27 - Introduction
01:27 - 03:53 - What are the current data trends in Banking?
03:53 - 05:15 - What are the challenges Banks face when implementing a Data Strategy?
05:15 - 07:27 - How are banks responding to these challenges?
07:27 - 10:15 - What are the areas that banks can benefits from in being data-driven?
10:15 - 12:24 - How organizations can get started with these recommendations?
12:24 - 13:15 - Closing
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ABOUT AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.
#AWSforData #FinancialServices #Data Strategy #DataDriven #ArtificialIntelligence #MachineLearning #Analytics #Data #AWS #AmazonWebServices #CloudComputing
We start by examining the current data trends shaping the banking landscape, including the rise of fintech, the need for personalized experiences, and the increased importance of data-driven decision-making.
Next, we delve into the challenges banks face when implementing a data strategy, such as data silos, legacy systems, and regulatory compliance.
The video then showcases how leading banks are responding to these challenges by adopting a data-driven approach. We highlight the case of NatWest Group in the UK, which focused on federating data quality across the organization, building an internal use case to assess customer lifetime value, and subsequently scaling their data strategy to enable wider machine learning deployment and continuous improvement.
We also explore the areas where banks can benefit from being data-driven, such as risk management, fraud detection, customer acquisition, and personalized product recommendations. The video features the example of BlueVine, a banking service platform in the US, which leveraged Amazon Textract to automate document processing, helping thousands of businesses receive funds during the Paycheck Protection Program (PPP) and saving over 400,000 jobs.
We close with practical recommendations for organizations to get started on their data strategy journey, including identifying key use cases, building a data-driven culture, and investing in the right technology and talent.
Whether you're a banking professional, a data enthusiast, or simply interested in the intersection of technology and finance, this video offers valuable insights and real-world examples to help you understand the importance of a data strategy in financial services.
Learn more at: go.aws/4ehIzV2
Chapters:
00:00 - 1:27 - Introduction
01:27 - 03:53 - What are the current data trends in Banking?
03:53 - 05:15 - What are the challenges Banks face when implementing a Data Strategy?
05:15 - 07:27 - How are banks responding to these challenges?
07:27 - 10:15 - What are the areas that banks can benefits from in being data-driven?
10:15 - 12:24 - How organizations can get started with these recommendations?
12:24 - 13:15 - Closing
Subscribe:
More AWS videos: go.aws/3m5yEMW
More AWS events videos: go.aws/3ZHq4BK
Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: go.aws/3lPaoPb
ABOUT AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.
#AWSforData #FinancialServices #Data Strategy #DataDriven #ArtificialIntelligence #MachineLearning #Analytics #Data #AWS #AmazonWebServices #CloudComputing
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