Flipboard

OCTOBER 25, 2023

Why it’s challenging to process and manage unstructured data Unstructured data makes up a large proportion of the data in the enterprise that can’t be stored in a traditional relational database management systems (RDBMS). Understanding the data, categorizing it, storing it, and extracting insights from it can be challenging.

ML 166

ML Metadata Data Extraction AI 166

AWS Machine Learning Blog

AUGUST 22, 2024

With AI-powered analysis, the process of reviewing an average file of a few hundred pages is reduced to minutes with Discovery Navigator. For each summary presented to the clinical expert, they were asked to categorize it as either good, acceptable, or bad.

Generative AI 104

Generative AI Auto-complete Software Development Automation 104

Pickl AI

JUNE 11, 2024

Communicate Insights Data visualizations act as powerful communication tools, presenting complex findings clearly and concisely. This allows us to effectively share insights with stakeholders who may not have a strong data science background. This can foster deeper understanding and promote data discovery.

Data Analysis 52

Data Analysis Categorization Data Science Data Discovery 52

Pickl AI

OCTOBER 14, 2024

Median: The middle value in a dataset, helping to understand the data’s distribution. Mode: The most frequent value, useful in categorical data. Applications Descriptive Data Analysis is widely used in business reporting and dashboards. Clustering: Grouping similar data points to identify segments within the data.

Data Analysis 52

Data Analysis Data Mining Data Discovery Machine Learning 52

Marktechpost

NOVEMBER 4, 2024

IBM Watson Analytics IBM AI-driven insights are used by Watson Analytics, a cloud-based data analysis and visualization tool, to assist users in understanding their data. Users can rapidly find trends, patterns, and relationships in data using its automatic data discovery tool.

Data Analysis 81

Data Analysis Machine Learning Data Science Python 81

Marktechpost

NOVEMBER 1, 2024

IBM Watson Analytics IBM AI-driven insights are used by Watson Analytics, a cloud-based data analysis and visualization tool, to assist users in understanding their data. Users can rapidly find trends, patterns, and relationships in data using its automatic data discovery tool.

Artificial Intelligence 96

Artificial Intelligence Artificial Intelligence AI Tools Machine Learning 96