Data Science Connect

MARCH 22, 2023

To learn more about data observability, don’t miss the Data Observability tracks at our upcoming COLLIDE Data Conference in Atlanta on October 4–5, 2023 and our Data Innovators Virtual Conference on April 12–13, 2023! Are you struggling to make sense of the data in your organization?

Data Observability 130

Data Observability Data Governance Analytics Analytics 130

Pickl AI

OCTOBER 11, 2023

Data Observability and Data Quality are two key aspects of data management. The focus of this blog is going to be on Data Observability tools and their key framework. The growing landscape of technology has motivated organizations to adopt newer ways to harness the power of data.

Data Observability 52

Data Observability Data Quality Data Pipeline Data Governance 52

Data Science Dojo

OCTOBER 10, 2023

Link to event -> Generative AI and Data Storytelling Here are some of the key takeaways from the article: Generative AI is a type of artificial intelligence that can create new content, such as text, images, and music. Data storytelling is the process of using data to communicate a story in a way that is engaging and informative.

AI 243

AI AI Data Observability Artificial Intelligence 243

IBM Journey to AI blog

DECEMBER 19, 2023

Because these techniques are making assumptions about the data being input, it is possible for them to incorrectly label anomalies. “Means,” or average data, refers to the points in the center of the cluster that all other data is related to.

Machine Learning 82

Machine Learning Machine Learning Supervised Learning K-nearest Neighbors 82

IBM Journey to AI blog

DECEMBER 16, 2022

Because Alex can use a data catalog to search all data assets across the company, she has access to the most relevant and up-to-date information. She can search structured or unstructured data, visualizations and dashboards, machine learning models, and database connections.

Data Quality 52

Data Quality Data Governance Data Wrangling Data Scientist 52

IBM Journey to AI blog

JULY 3, 2024

This approach ensures that data quality initiatives deliver on accuracy, accessibility, timeliness and relevance. Moreover, a data fabric enables continuous monitoring of data quality levels through data observability capabilities, allowing organizations to identify data issues before they escalate into larger problems.

AI 45

AI AI Data Quality Database 45

Mlearning.ai

JUNE 21, 2023

Hidden and Observed Variables The HMC comprises two types of variables: hidden (latent) variables and observed variables. Hidden variables represent the underlying states of the system, which are not directly observed but can be inferred from the observed data.

Data Scientist 52

Data Scientist Machine Learning Machine Learning ML 52