Remove Data Warehouse Remove Risk Remove Risk Management
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Manage your data warehouse cost allocations with Amazon Redshift Serverless tagging

AWS Big Data

Amazon Redshift Serverless makes it simple to run and scale analytics without having to manage your data warehouse infrastructure. Michael Yitayew is a Product Manager for Amazon Redshift based out of New York. He has supported AWS customers for over 3 years in both product marketing and product management roles.

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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

Amazon Redshift features like streaming ingestion, Amazon Aurora zero-ETL integration , and data sharing with AWS Data Exchange enable near-real-time processing for trade reporting, risk management, and trade optimization. This will be your OLTP data store for transactional data. version cluster.

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Integrating Data Governance and Enterprise Architecture

erwin

You can collect complete application ecosystem information; objectively identify connections/interfaces between applications, using data; provide accurate compliance assessments; and quickly identify security risks and other issues. You can better manage risk because of real-time data coming into the EA space.

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

IBM Big Data Hub

As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits.

Risk 70
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Data Governance Makes Data Security Less Scary

erwin

While sometimes at rest in databases, data lakes and data warehouses; a large percentage is federated and integrated across the enterprise, introducing governance, manageability and risk issues that must be managed. They are: Data models.

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Liberty Mutual CIO Monica Caldas on developing a digital-savvy workforce

CIO Business Intelligence

If we understand the data better and derive better insights, it enables us to offer better products and services at greater speed. We have modernized most of our data warehouses, we have put in new tools and capabilities, and that’s great, because now we’re at this next inflection point of technology with gen AI.

Insurance 121
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Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. This should also include creating a plan for data storage services. Are the data sources going to remain disparate? Or does building a data warehouse make sense for your organization?