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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. This translates to higher costs and slower response times. Security Letting LLMs make runtime decisions about business logic creates unnecessary risk.

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To understand the risks posed by AI, follow the money

O'Reilly on Data

It’s difficult to argue with David Collingridge’s influential thesis that attempting to predict the risks posed by new technologies is a fool’s errand. However, there is one class of AI risk that is generally knowable in advance. We ought to heed Collingridge’s warning that technology evolves in uncertain ways.

Risk 317
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12 Cloud Computing Risks & Challenges Businesses Are Facing In These Days

datapine

3) Cloud Computing Benefits. It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.

Risk 237
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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
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5 top business use cases for AI agents

CIO Business Intelligence

Major enterprise software vendors are also getting into the agent game. There are risks around hallucinations and bias, says Arnab Chakraborty, chief responsible AI officer at Accenture. Software development and IT Cognition released Devin, billed as the worlds first AI software engineer, in March last year.

Software 143
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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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Reimagine application modernisation with the power of generative AI

CIO Business Intelligence

As a consequence, these businesses experience increased operational costs and find it difficult to scale or integrate modern technologies. Maintaining, updating, and patching old systems is a complex challenge that increases the risk of operational downtime and security lapse.