Remove 2015 Remove Off-The-Shelf Remove Systems Review
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Digital Asset Management System – A must-have for all businesses

Trigent

Every individual and organization starts by organizing their files and their assets in a traditional hierarchical system on their local computers, USB storage devices, and of late on the cloud ( Google Drive, email, Dropbox, etc.). Wikipedia definition: “??A This brings us to the next point.

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Interpreting predictive models with Skater: Unboxing model opacity

O'Reilly Media - Data

There is often a need to verify the reasoning of such ML systems to hold algorithms accountable for the decisions predicted. There is also a trade off in balancing a model’s interpretability and its performance. A deep dive into model interpretation as a theoretical concept and a high-level overview of Skater.

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How Retailers Use Artificial Intelligence to Innovate Customer Experience and Enhance Operations

Altexsoft

eCommerce share of total retail sales worldwide from 2015 to 2021. Revenue from eCommerce sales is expected to grow to 4.88 trillion US dollars. Source: Statista. Physical stores still have a lion’s share of sales, but the tendency of the growing demand for online experiences shouldn’t be ignored. Source: Forrester Consulting.

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Will Flash Penetrate Secondary Storage Environments?

IDC

When the first All-Flash Arrays (AFAs) were introduced back in 2011, many enterprises, analysts and established enterprise storage vendors felt that these types of systems would be too expensive for widespread use in the enterprise. Low latency aside, flash does offer a number of benefits though that are of interest for secondary workloads.

Storage 52
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Will Flash Penetrate Secondary Storage Environments?

IDC

When the first All-Flash Arrays (AFAs) were introduced back in 2011, many enterprises, analysts and established enterprise storage vendors felt that these types of systems would be too expensive for widespread use in the enterprise. Low latency aside, flash does offer a number of benefits though that are of interest for secondary workloads.

Storage 10
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Zero Configuration Service Mesh with On-Demand Cluster Discovery

Netflix Tech

In 2010, however, nearly none of it existed: the CNCF wasn’t formed until 2015! To improve availability, we designed systems where components could fail separately and avoid single points of failure. Since there were no existing solutions available, we needed to build them ourselves.

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Machine Learning Use Cases: iTexico’s HAL

iTexico

We’ve been inundated with mundane AI usage, such as smart replies that Google has implemented in their Gmail service since 2015. We’ve been inundated with mundane AI usage, such as smart replies that Google has implemented in their Gmail service since 2015. Machine Learning Use Cases: iTexico’s HAL. What Is Machine Learning?