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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. Definitely not instant access!

Security 249
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Bringing AI to your organization? Better bring the right database

CIO Business Intelligence

These leaders succeed with these real-time AI capabilities in large part because of their ability to aggregate massive amounts of real-time data from customers, devices, sensors, or partners as it moves through applications. The solution to a storage cost problem is not adding more storage; it’s finding ways to process your data in place.

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What is a data engineer? An analytics role in high demand

CIO Business Intelligence

Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers. What is a data engineer?

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Technology Short Take 155

Scott Lowe

Isovalent—the company behind the Cilium project—has been talking a lot about how the use of eBPF will transform things, including the architecture of a service mesh. Researchers have uncovered a potential security flaw in Apple Silicon CPUs; more details in this 9to5Mac article. Operating Systems/Applications.

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What is a data engineer? An analytics role in high demand

CIO Business Intelligence

Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. Data engineers are responsible for developing, testing, and maintaining data pipelines and data architectures.

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Unlocking the Power of AI with a Real-Time Data Strategy

CIO Business Intelligence

Streaming data technologies unlock the ability to capture insights and take instant action on data that’s flowing into your organization; they’re a building block for developing applications that can respond in real-time to user actions, security threats, or other events. The application will contain ML mathematical algorithms.

Strategy 116
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How quantum computing could transform everything everywhere, but not all at once

GeekWire

Energy generation and storage, food production, climate modeling, disease treatment and genetic repair are all potential targets for quantum supremacy. “How many quantum computer architectures are possible? … The applications are endless.” Why is that? “The atom can spin in any direction.

Energy 144