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Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale

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For example, in the bank marketing use case, the management account would be responsible for setting up the organizational structure for the bank’s data and analytics teams, provisioning separate accounts for data governance, data lakes, and data science teams, and maintaining compliance with relevant financial regulations.

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Shaping the future: OMRON’s data-driven journey with AWS

AWS Machine Learning Blog

At the heart of this transformation is the OMRON Data & Analytics Platform (ODAP), an innovative initiative designed to revolutionize how the company harnesses its data assets. Amazon AppFlow was used to facilitate the smooth and secure transfer of data from various sources into ODAP.

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Build a financial research assistant using Amazon Q Business and Amazon QuickSight for generative AI–powered insights

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Their information is split between two types of data: unstructured data (such as PDFs, HTML pages, and documents) and structured data (such as databases, data lakes, and real-time reports). Different types of data typically require different tools to access them. Traditionally, businesses face a challenge.

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Query structured data from Amazon Q Business using Amazon QuickSight integration

AWS Machine Learning Blog

Although generative AI is fueling transformative innovations, enterprises may still experience sharply divided data silos when it comes to enterprise knowledge, in particular between unstructured content (such as PDFs, Word documents, and HTML pages), and structured data (real-time data and reports stored in databases or data lakes).

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Tackling AI’s data challenges with IBM databases on AWS

IBM Journey to AI blog

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

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8 Data Lake Vendors to Make Your Data Life Easier in 2023

ODSC - Open Data Science

To make your data management processes easier, here’s a primer on data lakes, and our picks for a few data lake vendors worth considering. What is a data lake? First, a data lake is a centralized repository that allows users or an organization to store and analyze large volumes of data.

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How is the ‘Mesh’ Resolving Bottlenecks of Data Management

Smart Data Collective

Data Mesh which is the latest addition to the stack is saving data teams from the hassle of producing qualitative data for all business types. Most recently, JP Morgan built a ‘Mesh’ on AWS and locked its scalability fortune on a decentralized architecture. Data Management before the ‘Mesh’.