Banking Big data Government 
AWS Machine Learning
NOVEMBER 22, 2024
This post is part of an ongoing series about governing the machine learning (ML) lifecycle at scale. This post dives deep into how to set up data governance at scale using Amazon DataZone for the data mesh. However, as data volumes and complexity continue to grow, effective data governance becomes a critical challenge.
AWS Machine Learning
AUGUST 21, 2024
Amazon DataZone is a data management service that makes it quick and convenient to catalog, discover, share, and govern data stored in AWS, on-premises, and third-party sources. However, ML governance plays a key role to make sure the data used in these models is accurate, secure, and reliable.
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ShepHyken
JULY 8, 2022
With daily reports of data breaches, today’s consumers are more concerned about the security of their personal information than ever before. Confidentiality is a growing concern of governments and businesses. Therefore, it is a priority for companies receiving this data to protect and process this information responsibly. .
ShepHyken
NOVEMBER 2, 2018
As we move towards big data and artificial intelligence, chatbots seem to be leading the way towards a more automated future. It’s estimated that by 2022, the banking and healthcare sector will make savings of up to $8 billion with chatbot usage. We cannot escape the future.
AWS Machine Learning
OCTOBER 29, 2024
This post is part of an ongoing series on governing the machine learning (ML) lifecycle at scale. To start from the beginning, refer to Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker.
AWS Machine Learning
FEBRUARY 21, 2025
Similar to how a customer service team maintains a bank of carefully crafted answers to frequently asked questions (FAQs), our solution first checks if a users question matches curated and verified responses before letting the LLM generate a new answer.
CSM Magazine
DECEMBER 4, 2023
As businesses increasingly prioritize the incorporation of environmental, social, and governance (ESG) initiatives into their daily operations, many executives are rightfully pondering not only the moral implications of responsible ESG practices but – perhaps more importantly – how to quantify their impact on corporate financial performance (CFP).
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