Remove Data Collection Remove Measurement Remove Risk Remove Software
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Managing risk in machine learning

O'Reilly on Data

The main bottleneck here is speed: many researchers are actively investigating hardware and software tools that can speed up model inference (and perhaps even model building) on encrypted data. Classification parity means that one or more of the standard performance measures (e.g.,

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How organizations can successfully measure an application health monitoring process

IBM Big Data Hub

This means companies especially need their software applications to perform optimally because they are often a source of competitive advantage. Organizations cannot risk unnecessary unplanned downtime or increased latencies because an application failed or underperformed. What is application health monitoring?

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Mobile Data Collection: What it is and what it can do

FineReport

Data collection is nothing new, but the introduction of mobile devices has made it more interesting and efficient. But now, mobile data collection means information can be digitally recording on the mobile device at the source of its origin, eliminating the need for data entry after the information is collected.

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Invoking IT to help revitalize Indigenous languages at risk of extinction

CIO Business Intelligence

Data collection on tribal languages has been undertaken for decades, but in 2012, those working at the Myaamia Center and the National Breath of Life Archival Institute for Indigenous Languages realized that technology had advanced in a way that could better move the process along.

Risk 98
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Mobile Data Collection: What it is and what it can do

FineReport

Data collection is nothing new, but the introduction of mobile devices has made it more interesting and efficient. But now, mobile data collection means information can be digitally recording on the mobile device at the source of its origin, eliminating the need for data entry after the information is collected.

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Bringing an AI Product to Market

O'Reilly on Data

These measures are commonly referred to as guardrail metrics , and they ensure that the product analytics aren’t giving decision-makers the wrong signal about what’s actually important to the business. When a measure becomes a target, it ceases to be a good measure ( Goodhart’s Law ). Any metric can and will be abused.

Marketing 362
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Top Solutions for Cybersecurity Regulatory Compliance

Smart Data Collective

As the Internet of Things becomes increasingly instrumental in the workplace, company and consumer data risk grow. It’s no secret that hackers have discovered and implemented complex methods to access crucial data from businesses of all sizes across all industries, including the federal government. Is Your Business Compliant?