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Bringing an AI Product to Market

O'Reilly on Data

The first step in building an AI solution is identifying the problem you want to solve, which includes defining the metrics that will demonstrate whether you’ve succeeded. It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. Agreeing on metrics.

Marketing 362
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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. That metric is tied to a KPI.

Metrics 156
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What you need to know about product management for AI

O'Reilly on Data

You might have millions of short videos , with user ratings and limited metadata about the creators or content. Job postings have a much shorter relevant lifetime than movies, so content-based features and metadata about the company, skills, and education requirements will be more important in this case.

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6 DataOps Best Practices to Increase Your Data Analytics Output AND Your Data Quality

Octopai

When DataOps principles are implemented within an organization, you see an increase in collaboration, experimentation, deployment speed and data quality. Continuous DataOps metrics testing checks data’s validity, completeness and integrity at input and output. Comprehensive metadata that supports data product and process organization.

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What is a data scientist? A key data analytics role and a lucrative career

CIO Business Intelligence

It doesn’t conform to a data model but does have associated metadata that can be used to group it. Quantitative analysis: Quantitative analysis improves your ability to run experimental analysis, scale your data strategy, and help you implement machine learning. Semi-structured data falls between the two.

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Of Muffins and Machine Learning Models

Cloudera

SDX provides open metadata management and governance across each deployed environment by allowing organisations to catalogue, classify as well as control access to and manage all data assets. Further auditing can be enabled at a session level so administrators can request key metadata about each CML process. Figure 03: lineage.yaml.

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Amazon OpenSearch Service search enhancements: 2023 roundup

AWS Big Data

Now users seek methods that allow them to get even more relevant results through semantic understanding or even search through image visual similarities instead of textual search of metadata. It similarly codes the query as a vector and then uses a distance metric to find nearby vectors in the multi-dimensional space to find matches.