Smart Data Collective

AUGUST 25, 2021

Analyzes previous data to make better predictions, like self-driving cars that observe directions and traffic lights. Image Tagging. Like visual search, image tagging also uses visual recognition technology. If you click one of the labels, the platform will direct you to visually similar results under that tag.

Visualization 134

Visualization Sales Marketing Technology 134

AWS Big Data

AUGUST 23, 2023

Take Observability to the next level Observability in OpenSearch is a collection of plugins and features that let you explore, query and visualize telemetry data stored in OpenSearch. In this section, we discuss how OpenSearch Service enables you to take Observability to the next level. in OpenSearch Service).

Snapshot 93

Snapshot Dashboards Visualization Metrics 93

Ontotext

MARCH 13, 2024

We achieve this by quality tagging during content publishing via graph-based entity linking. This is graph-based tagging, so the mentions are not just keywords. We can also observe the nodes in the mentions and click on different topics to read about their definitions in the knowledge graph.

Marketing 72

Marketing Knowledge Discovery Metadata Data-driven 72

AWS Big Data

JULY 28, 2023

This will help with your audit requests and provide the ability to roll back in case of accidental deletions observed during the QA process. Tagging Consider tagging your Amazon Redshift resources to quickly identify which clusters and snapshots contain the PII data, the owners, the data retention policy, and so on.

Snapshot 81

Snapshot Metadata Measurement Data Warehouse 81

Smart Data Collective

OCTOBER 7, 2023

Not only do people share their personal milestones and daily snippets here, but they also check in at various places, tag friends, and announce plans. Social Media: The Global Meeting Point With billions of active users, platforms like Facebook, Twitter, and LinkedIn have become the modern-day meeting points.

Technology 93

Technology Snapshot Data-driven Machine Learning 93

Dataiku

MARCH 25, 2024

This text information includes tags, attributes, captions. One limitation observed while testing the LENS approach, particularly in VQA, is its heavy reliance on the output of the first modules, namely CLIP and BLIP captions. In our tests, we observed significant progress in both VQA and image captioning tasks.

Visualization 132

Visualization Modeling Experimentation Testing 132

AWS Big Data

OCTOBER 30, 2023

It was observed that the framework performs well with batch payloads up to 400 MB and streaming data from Amazon MSK and Kinesis. The command runs a CodeBuild project that builds and pushes the Docker image with the latest tag to Amazon ECR. 70 seconds to under 30 seconds.

Cost-Benefit 119

Cost-Benefit Enterprise Data Processing Optimization 119

DataKitchen

OCTOBER 28, 2021

ML models are being used to aid disease diagnosis like detecting cancer cells, tag photographs in social media, understand speech, identify credit card fraud, increase customer engagement with movie/TV recommendations on video streaming services and much more. Each time a model is updated, it must undergo testing before being deployed.

Testing 130

Testing IT Manufacturing Metrics 130

Ontotext

JULY 13, 2023

Knowledge graphs have greatly helped to successfully enhance business-critical enterprise applications, especially those where high performance tagging and agile data integration is needed. Field rangers take notations about the wildlife and surrounding areas using a taxonomy of activities and observations.

Enterprise 52

Enterprise Metadata Digital Transformation Software 52

CIO Business Intelligence

FEBRUARY 8, 2024

The successful long-term relationships we have observed were built on mutual trust and the vendors’ clear understanding of the client’s priorities.” They often come with rigid processes, complex solutions, and high price tags. The relationship needs to be balanced to avoid value leakage on both sides of the commercial relationship.

Management 126

Management Scorecard Cost-Benefit Key Performance Indicator 126

Ontotext

DECEMBER 3, 2021

Very often, you may have filters that never execute, or you may use the MINUS keyword instead of FILTER NOT EXISTS (the difference here is that MINUS computes all the triples, then excludes them, FILTER NOT EXISTS cuts off the moment a binding is observed). Get a quick answer using the graphdb tag on stack overflow.

Optimization 52

Optimization Measurement IT 52

IBM Big Data Hub

NOVEMBER 28, 2022

Suppose that a new data asset becomes available but remains hidden from your data consumers because of improper or inadequate tagging. Data observability capabilities help augment trustworthy data and detect anomalies in data pipelines, allowing IT teams to quickly surface and resolve issues before they impact the business.

Metadata 57

Metadata Data Quality Data-driven Data Governance 57

Mark Raskino

MAY 27, 2021

[Reminder: this blog is personal observation, not Gartner research. The Just Walk Out system uses up some space for the entry control gates just inside the doors – but really no more than the conventional electronic tag security arches and shopping basket stands would. I am a digital business generalist.

Technology 59

Technology Cost-Benefit IT Management 59

AWS Big Data

OCTOBER 4, 2023

Let’s also add a tag key called Name with the value MyTrinoCluster to launch EC2 instances with this tag name. We’ll use this tag to target Spot Instances in the cluster with AWS FIS. For Resource tags , use Name= MyTrinoCluster. The EMR cluster will take few minutes to be ready in the Waiting state. Choose Save.

Big Data 79

Big Data Optimization Data-driven Management 79

erwin

APRIL 11, 2019

The implementation and subsequent observation of a strong data governance initiative ensures organizations won’t be put on the spot going forward. By adopting a data governance platform that enables you to automatically tag sensitive data and track its lineage , you can ensure nothing falls through the cracks.

Insurance 100

Insurance Data-driven Data Governance Metadata 100

Alation

JULY 15, 2021

The Behavioral Analysis Engine (BAE) observes how people use data to better serve them. The BAE, here too, does much of the work of tagging and automating, removing the burden of glossary management from people and streamlining approvals. Where do those suggestions come from?

Reporting 98

Reporting Data Governance Recreation/Entertainment Metadata 98

The Unofficial Google Data Science Blog

JANUARY 31, 2017

Indeed, machine learning generally lacks the vocabulary to capture the distinction between observational data and randomized data that statistics finds crucial. Rather, the focus of this post is on combining observational data with randomized data in model training, especially in a machine learning setting.

Machine Learning 73

Machine Learning Modeling Statistics Predictive Modeling 73

erwin

MAY 18, 2022

The data quality platform zeroes in on data observability according to context (metadata) and profiling (data) for real data reliability use cases. The data lineage redesign will help users to more quickly and clearly inspect the detailed lineage information needed for observing the complete end-to-end data pipeline. And, this is why.

Data Quality 52

Data Quality Metadata Data Governance Software 52

The Data Visualisation Catalogue

JANUARY 24, 2023

After consuming a number of YouTube videos, blog posts, articles, and playing around with ChatGPT, I felt the need to write down my thoughts and observations on the topic. Therefore, I wanted to comment on the rise of ChatGPT and how I think AI tools could impact data visualisation work now and in the future, as I believe it’s significant.

Visualization 114

Visualization Interactive Data-driven Testing 114

IBM Big Data Hub

JANUARY 24, 2024

While many are choosing the cloud, let’s look at some reasons why a data center refresh may be the more advantageous choice: Operational efficiency We’ve observed that increased energy costs and greater focus on sustainability are pushing for better, more energy-efficient infrastructure.

Strategy 66

Strategy Data Processing Optimization Software 66

FineReport

MARCH 7, 2024

Competitor performance is also scrutinized to observe ranking fluctuations linked to marketing efforts. By applying conditions such as app usage, location, and user tags, we integrate data to characterize customers and formulate targeted marketing strategies.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

CIO Business Intelligence

JUNE 9, 2022

Some vendors and industry observers make the distinction between CDPs and DMPs by suggesting that CDPs focus on following individuals whereas DMPs provide more general and anonymous answers about market segments or large blocks of potential customers.

Management 144

Management Advertising Data Lake Sales 144

The Unofficial Google Data Science Blog

APRIL 23, 2024

Figure 1 shows an example of real experiments where there was clearly a straight-line relationship between changes made to a parameter and changes observed in metrics. Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

AWS Big Data

MARCH 14, 2023

You can use OpenSearch Service for a diverse set of data workloads including healthcare data, financial transactions information, application performance data, observability data, and much more. Set up the criticality based on configurations in the rule and select the tags. First, define the name of the alert.

Analytics 60

Analytics Dashboards Visualization Testing 60

Ontotext

JUNE 24, 2020

Web Annotation GraphQL Service. Find Annotations with Droid tags. Using the Web Annotation model , a body describes a target in some manner, in this case, its motivation is to tag a target, with an unambiguous knowledge graph entity. Knowledge Graph Training. Loading… [link]. GO1PYegUgc1u79l2jBK1_fqK-jcxDLxjo8A2F7IH-qE.

Modeling 64

Modeling Technology IT Management 64

datapine

AUGUST 19, 2020

Once you have chosen the inventory metrics that will best fit your business and your needs, let’s go over some examples to illustrate them, as well as some best practices to observe. Inventory Metrics Examples For Better Management. Simple and straightforward: you need to know what you have in stock and what is passing through your warehouse.

Metrics 286

Metrics KPI Cost-Benefit Dashboards 286

Jet Global

MARCH 5, 2019

Facebook’s facial recognition photo tagging is an example of a vision system. To successfully interact with the physical world, these devices must be able to observe the world through different types of sensors and perform actions based on those observations.

Business Intelligence 75

Business Intelligence OLAP Visualization Reporting 75

AWS Big Data

MARCH 18, 2024

Use geospatial queries to tag addresses to census blocks. In this dataset, you can observe that the geom column in geography_usa_blockgroup_2019 is of type GEOMETRY. Set up a place index in Amazon Location Service. Write an AWS Lambda user-defined function (UDF) to call Location Service from Amazon Redshift.

Data Warehouse 79

Data Warehouse Visualization Snapshot Data-driven 79

The Unofficial Google Data Science Blog

JANUARY 16, 2018

Our methodology can be extended to other areas where the network is observed and when avoiding contamination is of primary concern in experiment design. The network topology itself is the actual collaboration network we observe for GCP. We first describe the unique challenges in designing experiments on developers working on GCP.

Testing 58

Testing Experimentation Measurement Modeling 58

Smart Data Collective

MARCH 5, 2022

You might have an easier time reverse engineering this algorithm as a data scientist by conducting regression analyses based on observable variables, such as tags, video usage, types of listing images and the presence of certain keywords in listing descriptions. It uses complex data analytics features.

Data mining 133

Data mining Big Data Data-driven Data Science 133

The Unofficial Google Data Science Blog

JULY 31, 2016

The analysis can be straightforward, especially when it's safe to assume that individual observations of an outcome measure are independent. When observations are not independent, an analysis that assumes independence can lead us to believe that effects are significant when they actually aren't. However, this is not always the case.

Experimentation 42

Experimentation Testing Measurement Metrics 42

AWS Big Data

APRIL 3, 2024

We can observe that the overall score matches with the API input value. This can be helpful to persist the run results in Amazon S3. onData(df).useRepository(metricsRepository).addCheck( useRepository(metricsRepository).addCheck( addCheck( check.hasSize(lambda x: x >= 1000).isComplete("birthdate").isUnique("id").isComplete("ssn").isComplete("first").isComplete("last").hasMin("healthcare_coverage",

Data Quality 87

Data Quality Visualization Metadata Metrics 87

Domino Data Lab

MARCH 27, 2019

Filter out irrelevant data and keep only observations (rows) of interest. Arrange observations (rows) in a particular order. Using the filter() function to select observations from the presidentialElections data frame in which the year column is 2008. Mutate a data set by adding more features (columns).

Statistics 85

Statistics Data Science Visualization IT 85

AWS Big Data

JANUARY 22, 2024

Cost and resource efficiency – This is an area where Acast observed a reduction in data duplication, and therefore cost reduction (in some accounts, removing the copy of data 100%), by reading data across accounts while enabling scaling.

Data-driven 83

Data-driven Advertising Metadata Data Architecture 83

Cloudera

SEPTEMBER 17, 2018

Once you found your datasets of interest, there are easy ways to tag them, so that you at next visit can find them immediately – the search functionality also covers tags! This is the contemporary Modern Data Warehousing trend we are observing amongst our customers and seems to be catching fire. Query Design.

Data Warehouse 53

Data Warehouse Optimization Visualization Unstructured Data 53

Jet Global

APRIL 14, 2021

A healthcare Key Performance Indicator (KPI) or metric is a well-defined performance measure that is used to observe, analyze, optimize, and transform a healthcare process to increase satisfaction for both patients and healthcare providers alike. This is a key metric to help control expenses as specialized equipment carries a heavy price tag.

Metrics 98

Metrics Reporting KPI Insurance 98

Smart Data Collective

JUNE 4, 2021

In classification, the category of observation is predicted. Facebook and google photos identify people from images and recommend tags. Among regression techniques, linear regression is the most popular technique. In linear regression, the label variable is expressed as a linear equation of other variables. Classification (Supervised).

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104