article thumbnail

Managing machine learning in the enterprise: Lessons from banking and health care

O'Reilly on Data

After the 2008 financial crisis, the Federal Reserve issued a new set of guidelines governing models— SR 11-7 : Guidance on Model Risk Management. In the remainder of this post, we'll list the key areas and recommendations covered in SR 11-7, and explain how they are relevant to recent developments in machine learning.

article thumbnail

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. Apart from generating regulatory reports, these teams require visibility into the health of the reporting systems.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Vendor Security is Key to Preventing Future Data Breaches

Smart Data Collective

As a result, third-party risk management (TPRM) has become a crucial aspect of enterprise risk management. Vendor security is a key component of TPRM, ensuring that vendors adhere to robust security practices to protect the sensitive data and systems they handle.

article thumbnail

The Future of Enterprise Architecture

erwin

Data Security & Risk Management. Innovation Management. For example, an enterprise should start by developing a target operating model, which includes: Key performance indicators (including goals, performance and benefits realization). Digital Transformation. Compliance/Legislation.

article thumbnail

Change at the Speed of Innovation

CIO Business Intelligence

Combining Agile and DevOps with elements such as cloud, testing, security, risk management and compliance creates a modernized technology delivery approach that can help an organization achieve greater speed, reduced risk, and enhanced quality and experience.

article thumbnail

What is Data Lineage? Top 5 Benefits of Data Lineage

erwin

The CEO also makes decisions based on performance and growth statistics. An understanding of the data’s origins and history helps answer questions about the origin of data in a Key Performance Indicator (KPI) reports, including: How the report tables and columns are defined in the metadata? Who are the data owners?

article thumbnail

A blueprint for successfully executing business-aligned IT strategies

CIO Business Intelligence

To ensure long-term success, CIOs should establish clear key performance indicators (KPIs) for each initiative. CIOs must implement governance frameworks to consistently evaluate IT investments, ensuring they meet both performance and strategic objectives.

Strategy 115