Towards AI

MAY 3, 2023

This is where the utilization of vector databases like Pinecone becomes valuable to store all the past experiences and aids as the memory for LLMs. Storing past ML insights to guide decision making Machine learning and deep learning models transform unstructured data into numerical vectors called embeddings.

ML 95

ML ML Machine Learning Machine Learning 95

Flipboard

APRIL 22, 2025

For example, for large, highly complex, and dimensional datasets that need semantic search capabilities, we suggest a vector database. From a security standpoint, make sure that all data classification and security requirements are met by the solution.

AWS 73

AWS AI AI Data Classification 73

AWS Machine Learning Blog

MARCH 29, 2023

Moreover, traditional search methods didn’t work well with unstructured data, therefore the evidence base was limited. To address this challenge, the IEO decided to use AI and ML to better mine the evaluation database for lessons and knowledge. This is a staging database to preserve all the extraction and classification results.

AWS 101

AWS ML ML Data Classification 101

phData

JULY 1, 2024

tables.create(my_table) print("Database, schema, and table created successfully.") It allows data engineers familiar with Python and Pandas to run their Pandas code in a scalable and distributed manner. The data landscape is changing rapidly, and organizations must innovate quickly to stay competitive and address new customer demands.

Python 52

Python Database Data Pipeline SQL 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 105

AWS AI AI ML 105

IBM Journey to AI blog

JULY 3, 2024

Align your data strategy to a go-forward architecture, with considerations for existing technology investments, governance and autonomous management built in. Look to AI to help automate tasks such as data onboarding, data classification, organization and tagging.

AI 45

AI AI Data Quality Database 45

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. For Database , choose c360_workshop_db. We use these files to load data into the Neptune database to find the relationship among different entities.

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AWS ML ML ETL 123

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

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

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.” Guided Navigation Guided navigation helps data stewards locate sensitive data.

Data Governance 97

Data Governance Data Lakes Data Classification Data Quality 97

AWS Machine Learning Blog

DECEMBER 5, 2023

Structured data, defined as data following a fixed pattern such as information stored in columns within databases, and unstructured data, which lacks a specific form or pattern like text, images, or social media posts, both continue to grow as they are produced and consumed by various organizations.

AWS 129

AWS ML ML Machine Learning 129

Alation

MARCH 1, 2022

While Alation has a large library of native data source connectors to databases, cloud data warehouses, data lakes , BI tools, event streaming, and more; inevitably there are other data sources that don’t have an existing connector. Data classification via tags is a simple yet powerful capability.

Data Warehouse 52

Data Warehouse Data Lakes Cloud Data Database 52

phData

JANUARY 15, 2024

Access Controls and User Authentication Access control regulates who can interact with various database objects, such as tables, views, and functions. In Snowflake, securable objects (representing database resources) are controlled through roles. It logs user activities, query details, database tweaks, and more.

Data Governance 52

Data Governance Database Data Warehouse Cloud Computing 52

Alation

OCTOBER 28, 2021

Healthcare organizations often have many different databases to manage their diverse data and often have multiple databases handling the same information. However, grouping that data intelligently and making sure the right data is being properly used is a challenge.

Data Governance 52

Data Governance Database Data Quality Data Classification 52

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

phData

JUNE 20, 2024

The platform can be quickly deployed to start, but you will want to plan for the future so it’s scalable and performant as the data culture matures. A database storage layer is a central repository for the data, while computing is in another layer.

Data Governance 52

Data Governance Analytics Analytics Power BI 52

Mlearning.ai

NOVEMBER 29, 2023

Decision Trees ML-based decision trees are used to classify items (products) in the database. This means that it is best used for elaborating data classifications in conjunction with other efficient algorithms. For instance, when used with decision trees, it learns to outline the hardest-to-classify data instances over time.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Flipboard

MARCH 21, 2025

Global policies such as data dictionaries ( business glossaries ), data classification tags, and additional information with metadata forms can be created by the governance team to ensure standardization and consistency within the organization. You will see a new database dev@ in the managed Amazon Redshift Serverless workgroup.

SQL 141

SQL Data Analyst Data Warehouse AWS 141

Dataconomy

MARCH 4, 2025

Data classification is a critical aspect of data management that not only enhances efficiency but also strengthens security protocols. As businesses increasingly depend on data, having a structured approach to handling this information becomes essential. What is data classification?

Data Classification 91

Data Classification Database Analytics Analytics 91