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 81

Data Classification Artificial Intelligence Artificial Intelligence AI 81

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

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 95

Data Classification 95

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 68

AWS ML ML Data Classification 68

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 76

Database SQL Python Data Scientist 76

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 Warehouse Data Mining 52

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

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 84

ML ML Machine Learning Machine Learning 84

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 Warehouse 127

Data Warehouse Data Mining Data Mining Data Mining 127

Precisely

SEPTEMBER 5, 2023

What is the language that users throughout your organization use to describe the data they work with every day? Data classification and retention policies: Data may be classified in many ways based on both internal and external policies. These can further drive usage rights, disclosure, and disclaimers.

Data Governance 52

Data Governance Data Quality Cloud Computing Data Classification 52

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 69

Data Classification 69

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 80

AWS Data Classification Data Preparation 80

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 252

Database Data Scientist AI AI 252

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 386

Machine Learning Machine Learning Data Science Data Mining 386

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 248

AI AI Analytics Analytics 248

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

AWS Machine Learning Blog

AUGUST 3, 2023

Data classification, extraction, and analysis can be challenging for organizations that deal with volumes of documents. Traditional document processing solutions are manual, expensive, error prone, and difficult to scale.

AWS 74

AWS AI AI ML 74

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

IBM Journey to AI blog

JULY 7, 2023

Best practices for proactive data security Best cybersecurity practices mean ensuring your information security in many and varied ways and from many angles. Here are some data security measures that every organization should strongly consider implementing. Define sensitive data. Establish a cybersecurity policy.

Data Governance 40

Data Governance Data Lakes Database Cloud Computing 40

Dataversity

SEPTEMBER 7, 2023

A recent example is the MOVEit breach, in which hackers stole data from customers of the MOVEit file transfer service. One reason for the parade […] The post Why Your Enterprise Needs Data-Centric Cybersecurity (and How to Achieve It) appeared first on DATAVERSITY. Hardly a week goes by without news of another cybercrime.

Data Classification 109

Data Classification 109

Flipboard

JUNE 26, 2023

Create the FindMatches ML transform On the AWS Glue console, expand Data Integration and ETL in the navigation pane. Under Data classification tools, choose Record Matching. This will open the ML transforms page. Choose Create transform. For Name , enter c360-ml-transform. For Existing IAM role , choose GlueServiceRoleLab.

AWS 92

AWS ML ML ETL 92

Alation

FEBRUARY 10, 2022

Data classification is necessary for leveraging data effectively and efficiently. Effective data classification helps mitigate risk, maintain governance and compliance, improve efficiencies, and help businesses understand and better use data. Manual Data Classification. Labeling the asset.

Data Classification 52

Data Classification Data Governance Data Analyst ML 52

Dataconomy

MARCH 29, 2023

These processes should be designed to ensure that data is handled consistently and transparently across the organization. Here are some key data governance processes to consider: Data inventory:  Conducting a data inventory to identify all data assets in the organization.

Data Governance 70

Data Governance Data Analyst Data Quality Data Silos 70

Dataconomy

MARCH 29, 2023

These processes should be designed to ensure that data is handled consistently and transparently across the organization. Here are some key data governance processes to consider: Data inventory:  Conducting a data inventory to identify all data assets in the organization.

Data Governance 70

Data Governance Data Analyst Data Quality Data Silos 70

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 123

Data Classification Big Data Big Data 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

Dataversity

FEBRUARY 9, 2022

“Data Governance” is such an interesting term. As data started becoming more critical to business in the last few years, this idea was introduced to define the business processes necessary to comply with regulatory requirements.

Data Governance 52

Data Governance Data Classification Data Quality 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 79

Machine Learning Machine Learning Supervised Learning Clustering 79

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 86

AWS Machine Learning Machine Learning Clustering 86

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 58

AI AI Machine Learning Machine Learning 58

Alation

MAY 16, 2023

How much data processing that occurs will depend on the data’s state when ingested and how different the format is from the desired end state. Most data processing tasks are completed using ETL (Extract, Transform, Load) or ELT (Extract, Load Transform) processes.

Data Pipeline 69

Data Pipeline Data Governance Data Lakes Data Warehouse 69

AWS Machine Learning Blog

NOVEMBER 22, 2023

By storing less volatile data on technologies designed for efficient long-term storage, you can optimize your storage footprint. For archiving data or storing data that changes slowly, Amazon S3 Glacier and Amazon S3 Glacier Deep Archive are available.

AWS 87

AWS Natural Language Processing ML ML 87

phData

FEBRUARY 14, 2023

Masked data provides a cost-effective way to help test if a system or design will perform as expected in real-life scenarios. As the insurance industry continues to generate a wider range and volume of data, it becomes more challenging to manage data classification.

Data Governance 52

Data Governance Data Silos Predictive Analytics Data Wrangling 52

phData

FEBRUARY 16, 2023

These projects should include all functional areas within the data platform including analytics engineering, machine learning , and data science. Data governance and data classification are potential reasons to separate projects in dbt Cloud.

Database 52

Database Azure Data Classification Data Governance 52

AWS Machine Learning Blog

DECEMBER 5, 2023

Amazon Comprehend support both synchronous and asynchronous options, if real-time classification isn’t required for your use case, you can submit a batch job to Amazon Comprehend for asynchronous data classification. For this use case, you create an endpoint to make your custom model available for real-time analysis.

AWS 97

AWS ML ML Natural Language Processing 97

Alation

MAY 16, 2023

How much data processing that occurs will depend on the data’s state when ingested and how different the format is from the desired end state. Most data processing tasks are completed using ETL (Extract, Transform, Load) or ELT (Extract, Load Transform) processes.

Data Pipeline 40

Data Pipeline Data Governance Data Lakes Data Warehouse 40

IBM Journey to AI blog

OCTOBER 16, 2023

Contractual agreement and SLAs : When engaging with third-party vendors or cloud service providers, contractual agreements should explicitly address data sovereignty concerns. Service Level Agreements (SLAs) should detail how data will be collected, stored, processed and protected, aligning with the data sovereignty needs.

Data Governance 71

Data Governance Cloud Computing Data Classification Cloud Data 71