IBM Journey to AI blog

SEPTEMBER 2, 2024

Better data observability unveils the bigger picture. It reveals hidden bottlenecks, optimizes resource allocation, identifies data lineage gaps and ultimately transforms firefighting into prevention. Until recently, there were few dedicated data observability tools available.

Data Observability 52

Data Observability Data Pipeline Data Engineering Data Engineering 52

IBM Journey to AI blog

JUNE 5, 2024

Given the volume of SaaS apps on the market (more than 30,000 SaaS developers were operating in 2023) and the volume of data a single app can generate (with each enterprise businesses using roughly 470 SaaS apps), SaaS leaves businesses with loads of structured and unstructured data to parse. What are application analytics?

Analytics 94

Analytics Analytics AI AI 94

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.

Data Quality 45

Data Quality AI AI Database 45