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Embracing sustainable IT unlocks environmental, business, and financial benefits

CIO Business Intelligence

Cegal’s results include achieving a sustainable IT lifecycle model, a 58% improvement in data delivery speed, an 80-90% reduction in data center footprint, and near-100% uptime for business-critical applications. Dell recycles the remaining five percent in adherence with local regulatory guidelines. “It

Financial 114
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Emergent Risks in 2019 Facing Financial Services

Galido

Information Technology Blog - - Emergent Risks in 2019 Facing Financial Services - Information Technology Blog. The security of financial information has always been a cause for concern. The data that the financial industry collects grows vastly every year. The preferred form of storage for financial data is in the cloud.

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Overcoming the Equation: Security = Friction

CTOvision

We’ve migrated to a userid-password society; as we’ve added layers of security, we password-protect each layer: PC (and now device), network, enclave, application, database, and storage (encryption). It’s much easier to use biometrics or a SmartCard to identify yourself to a system or application.

Security 249
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Demystifying AI: A Guide to Understanding and Leveraging Artificial Intelligence

Eric D. Brown

But to harness these benefits, we must first demystify AI, peeling back the layers to understand its mechanisms, applications, and how it can be integrated into your business model for tangible results. This capability is valuable across a wide range of applications. At its core, machine learning is like educating a child.

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Ethical AI: Tackling bias and ensuring fairness in machine learning algorithms

Dataconomy

One of the most recognizable trends of the early years of the 21st century has been the spread and application of AI (Artificial Intelligence) within many professional areas. In critical fields such as health care, law enforcement, employment and financial services, these technologies play a bigger role.

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Ethical AI: Tackling bias and ensuring fairness in machine learning algorithms

Dataconomy

One of the most recognizable trends of the early years of the 21st century has been the spread and application of AI (Artificial Intelligence) within many professional areas. In critical fields such as health care, law enforcement, employment and financial services, these technologies play a bigger role.

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4 paths to sustainable AI

CIO Business Intelligence

Concerns that AI contributes to global warming stem from estimates that GPUs used to develop and keep AI models running use four times as much energy as those serving conventional cloud applications, and that AI could be on track to use as much electricity as Ireland.