IBM Journey to AI blog

JUNE 5, 2024

That’s why today’s application analytics platforms rely on artificial intelligence (AI) and machine learning (ML) technology to sift through big data, provide valuable business insights and deliver superior data observability. What are application analytics?

Analytics 94

Analytics Analytics AI AI 94

Precisely

DECEMBER 12, 2023

It includes streaming data from smart devices and IoT sensors, mobile trace data, and more. Data is the fuel that feeds digital transformation. But with all that data, there are new challenges that may prompt you to rethink your data observability strategy. In either case, the change can affect analytics.

Data Observability 52

Data Observability Data Quality Data Pipeline Machine Learning 52

Precisely

OCTOBER 16, 2023

Rapid advancements in digital technologies are transforming cloud-based computing and cloud analytics. Big data analytics, IoT, AI, and machine learning are revolutionizing the way businesses create value and competitive advantage. In a connected mainframe/cloud environment, data is often diverse and fragmented.

Analytics 72

Analytics Analytics Big Data Analytics Big Data Analytics 72

ODSC - Open Data Science

FEBRUARY 28, 2023

With Tangent Works companies are able to solve challenges such as losses resulting from poor forecasting and missed ROI from time-series data. Blueprint Blueprint utilizes its expertise in data management, including analytics, migration, governance, and centralization to enable its clients to get the most from their data.

Data Science 96

Data Science Machine Learning Machine Learning AI 96

Precisely

FEBRUARY 10, 2023

Advanced analytics and AI/ML continue to be hot data trends in 2023. According to a recent IDC study, “executives openly articulate the need for their organizations to be more data-driven, to be ‘data companies,’ and to increase their enterprise intelligence.”

DataOps 52

DataOps Data Observability ML ML 52

IBM Journey to AI blog

FEBRUARY 26, 2024

The answer is data lineage. We’ve compiled six key reasons why financial organizations are turning to lineage platforms like MANTA to get control of their data. Download the Gartner® Market Guide for Active Metadata Management 1. That’s why data pipeline observability is so important.

Data Pipeline 112

Data Pipeline Data Engineering Data Engineering Data Engineer 112

Alation

MAY 24, 2022

This has created many different data quality tools and offerings in the market today and we’re thrilled to see the innovation. People will need high-quality data to trust information and make decisions. Alation has been leading the evolution of the data catalog to a platform for data intelligence. Read the press release.

Data Quality 98

Data Quality Data Governance ETL Data Observability 98