Precisely

FEBRUARY 10, 2023

Advanced analytics and AI/ML continue to be hot data trends in 2023. Read our Report Improving Data Integrity and Trust through Transparency and Enrichment Data trends for 2023 point to the need for enterprises to govern and manage data at scale, using automation and AI/ML technology.

DataOps 52

DataOps Data Observability ML ML 52

Precisely

AUGUST 3, 2023

The 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, delivers groundbreaking insights into the importance of trusted data. The results are in! Get inspired for your data integrity journey How does your data program compare to your peers?

DataOps 98

DataOps Data Quality Analytics Analytics 98

ODSC - Open Data Science

JULY 20, 2023

Popular Machine Learning Libraries, Ethical Interactions Between Humans and AI, and 10 AI Startups in APAC to Follow Demystifying Machine Learning: Popular ML Libraries and Tools In this comprehensive guide, we will demystify machine learning, breaking it down into digestible concepts for beginners, including some popular ML libraries to use.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

BAIR

FEBRUARY 17, 2024

This is enforced with the `more` excerpt separator. --> AI caught everyone’s attention in 2023 with Large Language Models (LLMs) that can be instructed to perform general tasks, such as translation or coding, just by prompting. Operation: LLMOps and DataOps. The rest is accessed via clicking 'Continue'.

AI 145

AI AI DataOps Data Pipeline 145

Precisely

FEBRUARY 9, 2024

In 2023, organizations dealt with more data than ever and witnessed a surge in demand for artificial intelligence use cases – particularly driven by generative AI. Trusting your data is the cornerstone of successful AI and ML (machine learning) initiatives, and data integrity is the key that unlocks the fullest potential.

Data Quality 69

Data Quality DataOps Data Silos Artificial Intelligence 69

Precisely

SEPTEMBER 18, 2023

Data observability is a key element of data operations (DataOps). It enables a big-picture understanding of the health of your organization’s data through continuous AI/ML-enabled monitoring – detecting anomalies throughout the data pipeline and preventing data downtime.

Data Observability 52

Data Observability Data Quality Data Pipeline DataOps 52

BAIR

FEBRUARY 18, 2024

This is enforced with the `more` excerpt separator. --> AI caught everyone’s attention in 2023 with Large Language Models (LLMs) that can be instructed to perform general tasks, such as translation or coding, just by prompting. Operation: LLMOps and DataOps. The rest is accessed via clicking 'Continue'.

AI 40

AI AI DataOps Data Pipeline 40