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Federated Learning, Machine Learning, Decentralized Data

Cloudera

Two years ago we wrote a research report about Federated Learning. You can read it online here: Federated Learning. Federated Learning is a paradigm in which machine learning models are trained on decentralized data. Keeping data decentralized helps solve essentially two problems.

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Optimizing a Centralized Approach for the Modern Distributed Data Estate

CIO Business Intelligence

With the focus shifting to distributed data strategies, the traditional centralized approach can and should be reimagined and transformed to become a central pillar of the modern IT data estate. billion connected Internet of Things (IoT) devices by 2025, generating almost 80 billion zettabytes of data at the edge.

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AWS Lake Formation 2022 year in review

AWS Big Data

Data governance is the collection of policies, processes, and systems that organizations use to ensure the quality and appropriate handling of their data throughout its lifecycle for the purpose of generating business value.

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The 10 biggest issues IT faces today

CIO Business Intelligence

We’re also learning that it’s all connected,” Hackenson says, noting that CIOs and their executive colleagues are realizing that a digital transformation initiative in one area, for example sales, must be accompanied by transformation in supporting areas such as supply chain. Growing cybersecurity, data privacy threats.

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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. Flexible and easy to use – The solutions should provide less restrictive, easy-to-access, and ready-to-use data.

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Insight Summer Session 2020 Update

Insight

The Remote Experience While this was the first session for Insight in which all Fellows participated remotely, we’ve been offering a remote data science program since 2015. We’re happy to report that we successfully adapted what we’ve learned during that time to all 7 of our programs across all locations.

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How can CIOs protect Personal Identifiable Information (PII) for a new class of data consumers?

CIO Business Intelligence

Industries increasingly rely on data and AI to enhance processes and decision-making. Conventional IT and data teams query data containing PII, but only a select few require access. Protecting sensitive data in the modern AI/ML pipeline has different requirements. Safeguarding PII is not a new problem.