IBM Journey to AI blog

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases.

Data Quality 130

Data Quality Metadata Big Data ETL 130

Flipboard

OCTOBER 25, 2023

The first is the raw input data that gets ingested by source systems, the second is the output data that gets extracted from input data using AI, and the third is the metadata layer that maintains a relationship between them for data discovery. Daniel Bruno is a Principal Resident Architect at AWS.

ML 166

ML Metadata Data Extraction AI 166

ODSC - Open Data Science

FEBRUARY 13, 2024

The discovery process includes data mapping as well. EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI.

Data Science 52

Data Science Data Discovery Machine Learning Automation 52

ODSC - Open Data Science

JUNE 2, 2023

Data storyteller  — You enjoy extracting insights from big data and sharing them with thousands of viewers, who need to see information displayed in intuitive and interactive visualizations. You can also get data science training on-demand wherever you are with our Ai+ Training platform. Win-win, right?

Business Intelligence 52

Business Intelligence Data Science Composite AI Automation 52

Pickl AI

OCTOBER 10, 2023

It’s important to understand the scale of your data, as it can impact storage, processing, and analysis. Monitoring data volume involves keeping track of how much data is being generated, collected, and stored over time. Schema A data schema defines the structure and organization of your data.

Data Quality 52

Data Quality Machine Learning Data Science Data Integration 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