Remove Measurement Remove Risk Remove Software
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Beyond “Prompt and Pray”

O'Reilly on Data

This approach delivers substantial benefits: consistent execution, lower costs, better security, and systems that can be maintained like traditional software. 90% accuracy for software will often be a deal-breaker, but the promise of agents rests on the ability to chain them together: even five in a row will fail over 40% of the time!

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Managing risk in machine learning

O'Reilly on Data

The main bottleneck here is speed: many researchers are actively investigating hardware and software tools that can speed up model inference (and perhaps even model building) on encrypted data. Classification parity means that one or more of the standard performance measures (e.g., What machine learning means for software development”.

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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly on Data

Most teams approach this like traditional software development but quickly discover it’s a fundamentally different beast. Check out the graph belowsee how excitement for traditional software builds steadily while GenAI starts with a flashy demo and then hits a wall of challenges? Whats worse: Inputs are rarely exactly the same.

Testing 174
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12 Cloud Computing Risks & Challenges Businesses Are Facing In These Days

datapine

Cloud computing is the delivery of various hardware and software services over the internet, through remote servers. a) Software as a Service ( SaaS ) – software is owned, delivered, and managed remotely by one or more providers. To start, Software-as-a-Service, or SaaS, is a popular way of accessing and paying for software.

Risk 237
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9 IT resolutions for 2025

CIO Business Intelligence

One of them is Katherine Wetmur, CIO for cyber, data, risk, and resilience at Morgan Stanley. Wetmur says Morgan Stanley has been using modern data science, AI, and machine learning for years to analyze data and activity, pinpoint risks, and initiate mitigation, noting that teams at the firm have earned patents in this space.

IT 140
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Is it worth measuring software developer productivity? CIOs weigh in

CIO Business Intelligence

At the same time, developers are scarce, and the demand for new software is high. This has spurred interest around understanding and measuring developer productivity, says Keith Mann, senior director, analyst, at Gartner. Organizations need to get the most out of the limited number of developers they’ve got,” he says.

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7 types of tech debt that could cripple your business

CIO Business Intelligence

CIOs perennially deal with technical debts risks, costs, and complexities. While the impacts of legacy systems can be quantified, technical debt is also often embedded in subtler ways across the IT ecosystem, making it hard to account for the full list of issues and risks.

Risk 123