Precisely

MAY 12, 2025

The High Cost of Not Knowing Your Data When you dont have a clear understanding of your data landscape what data exists, how trustworthy it is, etc. it opens your organization up to several risks: Unreliable analytics and AI (artificial intelligence) Poor data quality results in flawed insights.

Data Quality 64

Data Quality Data Classification Data Governance Artificial Intelligence 64

IBM Data Science in Practice

APRIL 26, 2024

Photo by Tim van der Kuip on Unsplash In the era of digital transformation, enterprises are increasingly relying on the power of artificial intelligence (AI) to unlock valuable insights from their vast repositories of data. Within this landscape, Cloud Pak for Data (CP4D) emerges as a pivotal platform.

SQL 130

SQL Data Quality Data Governance Data Scientist 130

IBM Journey to AI blog

JULY 3, 2024

By 2026, over 80% of enterprises will deploy AI APIs or generative AI applications. AI models and the data on which they’re trained and fine-tuned can elevate applications from generic to impactful, offering tangible value to customers and businesses. Data is exploding, both in volume and in variety.

AI 45

AI AI Data Quality Database 45

Alation

JUNE 14, 2021

Dan Kirsch, Analyst, Hurwitz Associates, agrees that CISOs must take responsibility, when he says that “data protection is absolutely part of the CISO’s job. For this reason, smart CISOs are making sure that analytics and AI teams have data security in mind and are using secure data platforms. What do we know?

Data Governance 97

Data Governance Data Lakes Data Classification Data Quality 97

Alation

MAY 16, 2023

Machine Learning Data pipelines feed all the necessary data into machine learning algorithms, thereby making this branch of Artificial Intelligence (AI) possible. Data Quality When using a data pipeline, data consistency, quality, and reliability are often greatly improved.

Data Pipeline 69

Data Pipeline Data Governance Data Lakes Data Warehouse 69

Alation

AUGUST 26, 2021

So how does data intelligence support governance? Examples of governance features that leverage data intelligence include: A business glossary, with automated data classification, to align teams on key terms. Data lineage tracking and impact analysis reports to show transformation over time. Again, metadata is key.

Data Governance 64

Data Governance ML ML Augmented Analytics 64

Pickl AI

SEPTEMBER 3, 2024

Similarly, in healthcare, ANNs can predict patient outcomes based on historical medical data. Classification Tasks ANNs are commonly used for classification tasks, where the goal is to assign input data to predefined categories. Insufficient or biased data can lead to inaccurate predictions and reinforce existing biases.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Deep Learning 52