Remove Business Intelligence Remove Data Lake Remove Finance Remove Metadata
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Informatica’s new data management clouds target health, finance services

CIO Business Intelligence

The rules are part of what the company calls the Data Quality Accelerator for Financial Services and can be used to accelerate the deployment of a data project and enable data-driven decision making. . Cloud Computing, Data Management, Financial Services Industry, Healthcare Industry

Finance 139
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How to use foundation models and trusted governance to manage AI workflow risk

IBM Big Data Hub

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Positive curation means adding items from certain domains, such as finance, legal and regulatory, cybersecurity, and sustainability, that are important for enterprise users. Increase trust in AI outcomes.

Risk 73
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The Very Group adopts a data catalog to better organize and leverage its online retail capabilities

CIO Business Intelligence

As a result, Pimblett now runs the organization’s data warehouse, analytics, and business intelligence. Establishing a clear and unified approach to data. Very has come full circle as a business built on catalog data, but it took some introspection in order to figure out the best way to get there.

IT 94
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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. in lieu of simply landing in a data lake.

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In-depth with CDO Christopher Bannocks

Peter James Thomas

I have since run and driven transformation in Reference Data, Master Data , KYC [3] , Customer Data, Data Warehousing and more recently Data Lakes and Analytics , constantly building experience and capability in the Data Governance , Quality and data services domains, both inside banks, as a consultant and as a vendor.

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Unlocking the value of data as your differentiator

AWS Big Data

It’s data that is the key to moving from generic applications to generative AI applications that create real value for your customers and your business. With Amazon Bedrock , you can privately customize FMs for your specific use case using a small set of your own labeled data through a visual interface without writing any code.

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How data stores and governance impact your AI initiatives

IBM Big Data Hub

Among the tasks necessary for internal and external compliance is the ability to report on the metadata of an AI model. Metadata includes details specific to an AI model such as: The AI model’s creation (when it was created, who created it, etc.) But the implementation of AI is only one piece of the puzzle.