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Skills the Irish Government CIO uses to advance digital transformation

CIO Business Intelligence

So when he started working on the first digital strategy for the Irish Government, he went for a collegiate-based approach to encourage a shared vision of cross-department co-operation and teamwork. Legislating for data sharing Lowry considers the 2019 Data Sharing Governance Act his biggest achievement as CIO.

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Jacobs revamps its IT operating model to accelerate business

CIO Business Intelligence

In March 2022, Steve Demetriou, chair and CEO of Jacobs, announced a new multiyear strategy that would focus on three accelerators for the $15B professional services business: climate response, consulting and advisory, and data solutions, each supported by significant acquisitions. Three modes of IT. Business success teams.

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Why you should care about debugging machine learning models

O'Reilly on Data

Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML. Because all ML models make mistakes, everyone who cares about ML should also care about model debugging. [1]

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5 strategies for boosting endpoint management

CIO Business Intelligence

Endpoint security requires a comprehensive and flexible strategy that goes way beyond what security teams relied on a decade or more ago. That’s because in the past year, attackers have adopted new models for extorting money from victims. And they are becoming more frequent, increasing 65% between 2019 and 2021.

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What is COBIT? A framework for alignment and governance

CIO Business Intelligence

COBIT is an IT management framework developed by the ISACA to help businesses develop, organize, and implement strategies around information management and IT governance. COBIT 2019 was introduced to build governance strategies that are more flexible and collaborative and that address new and changing technology.

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6 trends framing the state of AI and ML

O'Reilly on Data

Our analysis of ML- and AI-related data from the O’Reilly online learning platform indicates: Unsupervised learning surged in 2019, with usage up by 172%. Deep learning cooled slightly in 2019, slipping 10% relative to 2018, but deep learning still accounted for 22% of all AI/ML usage. Growth in ML and AI is unabated.

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What is synthetic data? Generated data to help your AI strategy

CIO Business Intelligence

Synthetic data is artificially generated information that can be used in place of real historic data to train AI models when actual data sets are lacking in quality, volume, or variety. Artificial data has many uses in enterprise AI strategies. This can slow down the development of new AI models. Synthetic data use cases.

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