O'Reilly on Data

JULY 28, 2020

Without clarity in metrics, it’s impossible to do meaningful experimentation. AI PMs must ensure that experimentation occurs during three phases of the product lifecycle: Phase 1: Concept During the concept phase, it’s important to determine if it’s even possible for an AI product “ intervention ” to move an upstream business metric.

Marketing 361

Marketing Experimentation Metrics Testing 361

Octopai

OCTOBER 26, 2022

When DataOps principles are implemented within an organization, you see an increase in collaboration, experimentation, deployment speed and data quality. Continuous pipeline monitoring with SPC (statistical process control). Comprehensive metadata that supports data product and process organization. Let’s take a look.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

O'Reilly on Data

MARCH 31, 2020

All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. You might have millions of short videos , with user ratings and limited metadata about the creators or content. Machine learning adds uncertainty.

Management 327

Management Machine Learning Experimentation Metrics 327

CIO Business Intelligence

MARCH 21, 2022

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.

Unstructured Data 135

Unstructured Data Data Analytics Analytics Structured Data 135

O'Reilly on Data

MARCH 18, 2020

It seems as if the experimental AI projects of 2019 have borne fruit. Ideally, data provenance , data lineage , consistent data definitions , rich metadata management , and other essentials of good data governance would be baked into, not grafted on top of, an AI project. But what kind? or function-as-a-service designs.

Enterprise 307

Enterprise Deep Learning Data Governance Risk 307

Insight

MARCH 12, 2020

Data Collection The AIgent leverages book synopses and book metadata. To my knowledge, the most extensive repository of synopses and metadata is Goodreads. To collect these genre tags and other metadata, I took advantage of the well-documented Goodreads API. features) and metadata (i.e. In other words, if 0.1%

Modeling 59

Modeling Metadata Publishing Sales 59

AWS Big Data

JULY 3, 2023

With scalable metadata indexing, Apache Iceberg is able to deliver performant queries to a variety of engines such as Spark and Athena by reducing planning time. Buy Experimentation findings The following table shows Sharpe Ratios for various holding periods and two different trade entry points: announcement and effective dates.

Snapshot 86

Snapshot Data Lake Testing Strategy 86