Anomalo's machine learning approach to data quality is growing like gangbusters | TechCrunch
Anomalo, a startup that focuses on data quality, has raised $33 million in a Series B funding round, bringing their total raised to $72 million.
The company's approach of monitoring and ensuring the quality of specific data sets, rather than everything, has helped them grow 15x since their Series A round. [ more ]
Data Observability and its Importance: Everything you Need to Know - DevOps.com
Data observability is a process that alerts organizations to the reliability and health of their data, helping them identify and resolve issues before they impact the entire organization.
Data observability has five pillars - recency, volume, distribution, schema, and lineage - that provide insights into the reliability and quality of data. [ more ]
Tailored AI to steal the focus from LLMs in 2024 says Knobbe Martens| App Developer Magazine
The development and adoption of smaller AI models tailored for specific industries is expected to increase in the coming year.
Vertical application use cases are expected to fall into two primary categories, including first draft generation and specialized software for specific industries. [ more ]