Remove Metrics Remove Optimization Remove Risk Management
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From project to product: Architecting the future of enterprise technology

CIO Business Intelligence

Understanding and tracking the right software delivery metrics is essential to inform strategic decisions that drive continuous improvement. When tied directly to strategic objectives, software delivery metrics become business enablers, not just technical KPIs. This alignment sets the stage for how we execute our transformation.

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Data Scalability Raises Considerable Risk Management Concerns

Smart Data Collective

The Relationship between Big Data and Risk Management. While the sophisticated Internet of Things can positively impact your business, it also carries a significant risk of data misuse. Tips for Improving Risk Management When Handling Big Data. Risk management is a crucial element of any successful organization.

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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

CIOs feeling the pressure will likely seek more pragmatic AI applications, platform simplifications, and risk management practices that have short-term benefits while becoming force multipliers to longer-term financial returns. In 2024, departments and teams experimented with gen AI tools tied to their workflows and operating metrics.

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TBM helps CIOs translate tech spending to business outcomes

CIO Business Intelligence

The goal is to give such leaders widespread visibility into planning, benchmarking, and optimization of their IT investments, according to the TBM Council. The US Office of Management and Budget has also pushed agencies to use TBM practices since 2017. While many organizations swear by TBM, the practice also has its detractors.

ROI 96
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Managing risk in machine learning

O'Reilly on Data

There are also many important considerations that go beyond optimizing a statistical or quantitative metric. As we deploy ML in many real-world contexts, optimizing statistical or business metics alone will not suffice. Models will need to be customized (for specific locations, cultural settings, domains, and applications).

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CDOs: Your AI is smart, but your ESG is dumb. Here’s how to fix it

CIO Business Intelligence

Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams. However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive.

IT 59
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How Big Data Impacts The Finance And Banking Industries

Smart Data Collective

Financial and banking industries worldwide are now exploring new and intriguing techniques through which they can smoothly incorporate big data analytics in their systems for optimal results. Here are a few of the advantages of Big Data in the banking and financial industry: Improvement in risk management operations.

Big Data 145