Remove Data-driven Remove Modeling Remove Risk Remove Technology
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To understand the risks posed by AI, follow the money

O'Reilly on Data

Others retort that large language models (LLMs) have already reached the peak of their powers. 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. We ought to heed Collingridge’s warning that technology evolves in uncertain ways.

Risk 221
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Enabling a data-driven IT modernization strategy

CIO Business Intelligence

The big picture : In the midst of a rush to technology modernization, it’s critical to ensure the organization’s data assets are not overlooked. Why it matters:  Data-driven business decisions must factor prominently in modernization efforts. The bottom line:  Don’t leave data behind.

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Product lifecycle management for data-driven organizations 

IBM Big Data Hub

In a world where every company is now a technology company, all enterprises must become well-versed in managing their digital products to remain competitive. The key foundation of a strong PLM strategy is healthy and orderly product data, but data management is where enterprises struggle the most.

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What is Model Risk and Why Does it Matter?

DataRobot Blog

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses. What is a model?

Risk 111
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Aiding Architecture & Engineering Firms with Data-Driven Learning

Smart Data Collective

Data analytics is incredibly valuable for helping people. More institutions are recognizing this, so the market for data analytics in education is projected to be worth over $57 billion by 2030. We have previously talked about the many ways that big data is disrupting education.

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Whether your technology is new or old, lifecycle management is key

CIO Business Intelligence

Does your organization see technology infrastructure as a commodity or as a strategic business enabler? The answer will shape your approach to infrastructure: you can keep legacy infrastructure going as long as you can, or you can pursue the cutting edge of technology. Legacy technology also affects sustainability.

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A summary of Gartner’s recent DataOps-driven data engineering best practices article

DataKitchen

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” Data team morale is consistent with DataKitchen’s own research. We surveyed 600 data engineers , including 100 managers, to understand how they are faring and feeling about the work that they are doing.