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7 signs it’s time to modernize your IT systems

CIO

The bad news, however, is that IT system modernization requires significant financial and time investments. There are multiple examples of organizations driving home a first-mover advantage by adopting and embracing technology modernization when the opportunity presents itself early.”

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CIO metrics are failing digital transformation; it’s time to radically rethink success

CIO

However, the metrics used to evaluate CIOs are hindering progress. IDC’s CIO Sentiment Survey, July 2024, n = 395 The gap between digital transformation aspirations and outcomes is partly due to how CIOs and IT leaders are measured. These metrics are for a “run the railroad,” traditional, back-office IT organization.

Metrics 192
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5 tips for better business value from gen AI

CIO

For example, developers using GitHub Copilots code-generating capabilities have experienced a 26% increase in completed tasks , according to a report combining the results from studies by Microsoft, Accenture, and a large manufacturing company. Below are five examples of where to start. These reinvention-ready organizations have 2.5

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Security is dead: Long live risk management

CIO

Unfortunately, many organizations still approach information security this way waiting until development is nearly complete before conducting security reviews, penetration tests, and compliance checks. This means creating environments that enable secure development while ensuring system integrity and regulatory compliance.

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Six steps to creating a successful IT strategy: A guide for CIOs

CIO

For example, if a business prioritizes customer focus, IT must step up by improving digital channels and delivering personalized services. Developing the initial IT strategy (straw man) The initial IT strategy, or “straw man,” should be reviewed with select partners both inside and outside IT.

Strategy 200
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LLM benchmarking: How to find the right AI model

CIO

One example is SQuAD (Stanford Question Answering Dataset), which provides text passages and associated questions to test whether a model can extract relevant information from the passages. There are two main approaches: Reference-based metrics: These metrics compare the generated response of a model with an ideal reference text.

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Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning - AI

Ground truth data in AI refers to data that is known to be factual, representing the expected use case outcome for the system being modeled. By providing an expected outcome to measure against, ground truth data unlocks the ability to deterministically evaluate system quality.