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Is it worth measuring software developer productivity? CIOs weigh in

CIO Business Intelligence

This has spurred interest around understanding and measuring developer productivity, says Keith Mann, senior director, analyst, at Gartner. Streamlining to optimize productivity Agile software development is essential to innovate and retain competitiveness. Instead, it might be this emphasis on streamlining processes that matters most.

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What is GRC? The rising importance of governance, risk, and compliance

CIO Business Intelligence

The need to manage risk, adhere to regulations, and establish processes to govern those tasks has been part of running an organization as long as there have been businesses to run. Furthermore, the State of Risk & Compliance Report, from GRC software maker NAVEX, found that 20% described their programs as early stage. What is GRC?

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Optimizing IT resources through infrastructure, people, and processes

CIO Business Intelligence

When respondents were asked what modernization imperatives are causing them to lose sleep at night, the need to improve overall IT performance (60%) topped the list, followed by data security (50%), process risk and compliance (46%), and the need to improve agility (41%). Learn more about how companies can optimize their IT.

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Data Mining Technology Helps Online Brands Optimize Their Branding

Smart Data Collective

By analyzing data and extracting useful insights, brands can make informed decisions to optimize their branding strategies. This article will explore data mining and how it can help online brands with brand optimization. Predicting Customer Churn Data mining can be used to predict which customers are at risk of leaving a brand.

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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. Classification parity means that one or more of the standard performance measures (e.g.,

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The risks and limitations of AI in insurance

IBM Big Data Hub

This blog continues the discussion, now investigating the risks of adopting AI and proposes measures for a safe and judicious response to adopting AI. Risk and limitations of AI The risk associated with the adoption of AI in insurance can be separated broadly into two categories—technological and usage.

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How organizations can successfully measure an application health monitoring process

IBM Big Data Hub

This means companies especially need their software applications to perform optimally because they are often a source of competitive advantage. Organizations cannot risk unnecessary unplanned downtime or increased latencies because an application failed or underperformed. What is application health monitoring?