Dataconomy

APRIL 13, 2025

Merging data sources: Integrating disparate data into a unified dataset is crucial for comprehensive analysis. Preparing data Once data is collected, the next step is preparing it for processing, shaping it into a format suitable for machine learning models.

Machine Learning 91

Machine Learning Machine Learning Data Wrangling Data Classification 91

Dataconomy

SEPTEMBER 22, 2023

Artificial intelligence (AI) can be used to automate and optimize the data archiving process. There are several ways to use AI for data archiving. This process can help organizations identify which data should be archived and how it should be categorized, making it easier to search, retrieve, and manage the data.

Clustering 185

Clustering Algorithm Data Classification Machine Learning 185

The Data Administration Newsletter

SEPTEMBER 19, 2023

Through advanced technologies and tools, IT ensures that data is securely stored, backed up, and accessible to authorized personnel. IT also enforces data governance policies and procedures, such as data classification and access […]

Data Governance 81

Data Governance Data Classification Data Quality 81

Dataconomy

MARCH 27, 2025

It can denote how finely data is broken down or categorized, which holds relevance in various contexts such as marketing, software engineering, and data analysis. Understanding data classification is essential to making informed decisions based on the data’s granularity level.

Data Analysis 91

Data Analysis Data Analysis Data Classification Analytics 91

Dataconomy

MAY 29, 2025

Implementing these measures can significantly reduce risks associated with data breaches. Encryption Using encryption techniques to code data makes it unreadable without appropriate decryption keys, enhancing security. Data classification Classifying data based on sensitivity helps organizations manage and secure it more effectively.

Data Classification 91

Data Classification 91

The Data Administration Newsletter

OCTOBER 31, 2023

The concept of “walking the data factory” drew a great deal of interest during our recent DGPO webinar on data classification as part of a holistic governance program. We discussed ways to connect the stove-piped worlds of data governance and information governance under a common governance classification.

Data Governance 59

Data Governance Data Classification Big Data Big Data 59

Dataconomy

MARCH 17, 2025

Logistic regression Logistic regression is designed for binary classification tasks, predicting the likelihood of an event occurring based on input variables. It enhances data classification by increasing the complexity of input data, helping organizations make informed decisions based on probabilities.

Decision Trees 91

Decision Trees Predictive Analytics Data Preparation Machine Learning 91

Smart Data Collective

OCTOBER 31, 2022

Some features include 24/7 threat detection, antimalware and virus protection, safe browsing, data classification, loss prevention, firewalls, email gateways (to block phishing emails), and more. Endpoint security software enables IT teams to manage and secure devices from a single platform. Frequent Training And Education.

Data Classification 143

Data Classification Big Data Big Data 143

Flipboard

JANUARY 4, 2025

This study proposes a novel text classification model, MBConv-CapsNet, to address large-scale text data classification issues in the Internet era.

Data Classification 65

Data Classification Analytics Analytics Computer Science 65

Precisely

MAY 12, 2025

Then, its easier to trust and use that data effectively across the business. Leverage AI-driven discovery tools: Advanced AI-powered solutions can help you improve accuracy and reduce the manual work involved with data classification, discovery, and relationship mapping.

Data Quality 64

Data Quality Data Classification Data Governance Artificial Intelligence 64

KDnuggets

DECEMBER 13, 2021

So much of data science and machine learning is founded on having clean and well-understood data sources that it is unsurprising that the data labeling market is growing faster than ever.

Machine Learning 392

Machine Learning Machine Learning Data Science Data Mining 392

Smart Data Collective

APRIL 30, 2021

Deciding what to do in terms of preventing the exposure of sensitive data starts with knowing the kind of data that passes through your onsite and cloud servers. The best way to go about this is through a robust data classification process. This will make it easier for you to identify appropriate security measures.

Data Classification 108

Data Classification 108

Analytics Vidhya

APRIL 5, 2023

Enter the Era of Generative AI With Google Cloud Google Cloud has recently unveiled its latest generative AI capabilities. The latest tools will make it easier than ever for enterprises to develop and deploy advanced AI applications.

AI 330

AI AI Analytics Analytics 330

Smart Data Collective

JANUARY 9, 2023

SQL uses a straightforward system of data classification with tables and columns that make it relatively easy for people to navigate and use. Basically, this means that the user poses a query — either a select to retrieve a piece of information or an action to alter a piece of information — and then the action is performed.

Database 112

Database SQL Python Data Scientist 112

IBM Journey to AI blog

JUNE 9, 2023

The collaboration harnesses the power of artificial intelligence (AI) to help organizations quickly apply data classification and context-aware analysis to APIs in their estate. Systematically detect potential malicious activity and use user-configurable policies to block attacks that may transpire.

Data Classification 98

Data Classification Artificial Intelligence Artificial Intelligence AI 98

AWS Machine Learning Blog

MARCH 29, 2023

Data ingestion and extraction Evaluation reports are prepared and submitted by UNDP program units across the globe—there is no standard report layout template or format.

AWS 100

AWS ML ML Data Classification 100

Analytics Vidhya

OCTOBER 3, 2023

Generative AI for databases will transform how you deal with databases, whether or not you’re a data scientist, […] The post 10 Ways to Use Generative AI for Database appeared first on Analytics Vidhya. Though it appears to dazzle, its true value lies in refreshing the fundamental roots of applications.

Database 317

Database Data Scientist AI AI 317

Smart Data Collective

MAY 16, 2022

Data models help in storing and retrieving the data efficiently. Data mining: is the process of discovering patterns in the data by applying different techniques such as data classification, clustering, regression, association, time series prediction, etc.

Data Mining 136

Data Mining Data Mining Data Mining Data Warehouse 136

Flipboard

APRIL 22, 2025

From a security standpoint, make sure that all data classification and security requirements are met by the solution. Provide user access to knowledge bases to entities who need access to that data.

AWS 72

AWS AI AI Data Classification 72

Dataconomy

MAY 18, 2023

Solution: To mitigate the security concerns surrounding data privacy in the cloud, organizations should implement effective preventive measures. First, conduct thorough data classification and encryption to ensure sensitive information remains protected.

Cloud Computing 155

Cloud Computing Data Classification Cloud Data Analytics 155

AWS Machine Learning Blog

JULY 3, 2025

The team needed to address data sovereignty and security requirements for the solution, particularly when processing data on AWS. This led to careful consideration of data classification and compliance with applicable regulatory requirements in the telecommunications sector, to make sure that sensitive data is handled appropriately.

AWS 70

AWS AI AI SQL 70

AWS Machine Learning Blog

JANUARY 22, 2025

The type of security analysis performed against the transcripts will vary depending on factors like the data classification or criticality of the server the recording was taken from. The following diagram depicts the workflow we will use to perform the security analysis of the aggregated video transcripts.

AWS 113

AWS AI AI Machine Learning 113

IBM Data Science in Practice

APRIL 26, 2024

Metadata Enrichment: Empowering Data Governance Data Quality Tab from Metadata Enrichment Metadata enrichment is a crucial aspect of data governance, enabling organizations to enhance the quality and context of their data assets.

SQL 130

SQL Data Quality Data Governance Data Scientist 130

Pickl AI

APRIL 13, 2025

Pattern Recognition and Prediction Classification algorithms excel at recognizing patterns in data, which is crucial for: Predictive Analytics : By learning from historical data, classification models can predict future outcomes.

Machine Learning 52

Machine Learning Machine Learning Decision Trees K-nearest Neighbors 52

Towards AI

MAY 3, 2023

Step 1: Create an ML knowledge pool from historical ML tasks (from benchmark data) To facilitate the learning process from previous machine learning (ML) work, three ML benchmarks, namely HPO-B, PD1, and HyperFD, were employed.

ML 98

ML ML Machine Learning Machine Learning 98

ODSC - Open Data Science

MARCH 17, 2023

Video of the Week: Automated Data Classification In this video, Alex Gorelik will be discussing automated data classification. You can find the schedule here on our website, but be sure to read on for a breakdown of what you can expect from each day.

Deep Learning 52

Deep Learning Deep Learning Data Classification Machine Learning 52

KDnuggets

DECEMBER 13, 2021

So much of data science and machine learning is founded on having clean and well-understood data sources that it is unsurprising that the data labeling market is growing faster than ever.

Machine Learning 209

Machine Learning Machine Learning Data Science Data Mining 209

AWS Machine Learning Blog

NOVEMBER 1, 2023

Organizations can search for PII using methods such as keyword searches, pattern matching, data loss prevention tools, machine learning (ML), metadata analysis, data classification software, optical character recognition (OCR), document fingerprinting, and encryption.

AWS 123

AWS Machine Learning Machine Learning ML 123

Dataconomy

AUGUST 31, 2023

The goal of unsupervised learning is to identify structures in the data, such as clusters, dimensions, or anomalies, without prior knowledge of the expected output. This can be useful for discovering hidden patterns, identifying outliers, and reducing the complexity of high-dimensional data.

Machine Learning 136

Machine Learning Machine Learning Supervised Learning Algorithm 136

Alation

JULY 13, 2021

The Five Pain Points of Moving Data to the Cloud. Data classification presents challenges when moving environments. Data governance is hard, especially when building trust and quality. A rising demand for self-service analytics (over the reports and dashboards of old) is another factor.

Cloud Data 52

Cloud Data Data Governance Data Mining Data Mining 52

IBM Journey to AI blog

DECEMBER 20, 2023

Classification algorithms —predict categorical output variables (e.g., “junk” or “not junk”) by labeling pieces of input data. Classification algorithms include logistic regression, k-nearest neighbors and support vector machines (SVMs), among others.

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

phData

OCTOBER 23, 2023

Limitation of Data Classification Table Function Tagging is a feature in Snowflake, represented as a schema-level object. It empowers a data governance team to mark and label PII and sensitive information, followed by associating a policy object to safeguard these fields.

Data Governance 52

Data Governance Python Data Classification Azure 52

AWS Machine Learning Blog

SEPTEMBER 24, 2024

Core security disciplines, like identity and access management, data protection, privacy and compliance, application security, and threat modeling, are still critically important for generative AI workloads, just as they are for any other workload.

AWS 103

AWS AI AI ML 103

IBM Journey to AI blog

DECEMBER 19, 2023

Enlist enterprise records teams to study a set of data classification and retention patterns and enlist FinOps teams to assess for appropriate tagging and quota adherence. Build AuthN/AuthZ integration patterns that abstract nuances and standardize authentication and authorization of applications, data and services.

AWS 91

AWS Data Classification Data Preparation 91

Alation

JUNE 14, 2021

Do we know the business outcomes tied to data risk management? These questions drive classification. Once you have data classification then you can talk about whether you need to tokenize and why, or anonymize and why, or encrypt and why, etc.” “What am I required to do? What do we know? They drive labeling.

Data Governance 97

Data Governance Data Lakes Data Classification Data Quality 97

IBM Journey to AI blog

DECEMBER 19, 2023

This is caused by: Multiple first-mile reviews to ensure no adverse business impacts, including privacy concerns, data classification, business continuity and regulatory compliance (and most of these are manual).

Data Classification 82

Data Classification 82

IBM Journey to AI blog

AUGUST 1, 2023

Foundation models can be trained to perform tasks such as data classification, the identification of objects within images (computer vision) and natural language processing (NLP) (understanding and generating text) with a high degree of accuracy.

AI 70

AI AI Machine Learning Machine Learning 70