Remove Data Lake Remove Data Processing Remove Risk Remove Risk Management
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CIOs weigh where to place AI bets — and how to de-risk them

CIO Business Intelligence

There are a lot of risks and a lot of land mines to navigate,” says the analyst. Coming to grips with risk The first step in making any bet — or investment — is to understand your ability to withstand risk. This ensures that none of our sensitive data and intellectual property are availed to an outside provider.”

Risk 121
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What a quarter century of digital transformation at PayPal looks like

CIO Business Intelligence

At the lowest layer is the infrastructure, made up of databases and data lakes. These applications live on innumerable servers, yet some technology is hosted in the public cloud. User data is also housed in this layer, including profile, behavior, transactions, and risk.

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How Data Governance Protects Sensitive Data

erwin

With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with data management and protection also are growing. Data Security Starts with Data Governance. Is it sensitive data or are there any risks associated with it?

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Make Better Data-Driven Decisions with DataRobot AI Platform Single-Tenant SaaS on Microsoft Azure

DataRobot Blog

Customers can build, run, and manage applications across multiple clouds, on-premises, and at the edge, with the tools of their choice. The DataRobot AI Platform seamlessly integrates with Azure cloud services, including Azure Machine Learning, Azure Data Lake Storage Gen 2 (ADLS), Azure Synapse Analytics, and Azure SQL database.

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Why Big Data Needs A Robust Off-Site Data Backup Method

Smart Data Collective

While there is more of a push to use cloud data for off-site backup , this method comes with its own caveats. In the event of a network shutdown or failure, it may take much longer to restore functionality (and therefore connection) to a cloud-hosted off-site backup. Big Data Storage Concerns. Conclusion.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Probably the best one-liner I’ve encountered is the analogy that: DG is to data assets as HR is to people. Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Somehow, the gravity of the data has a geological effect that forms data lakes.

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. But we also know not all data is equal, and not all data is equally valuable. Product Management.