Glossary
Our Knowledgebase glossary is filled with definitions and details about data science and AI terms and technologies.
What are Azure Cognitive Services?
Azure Cognitive Services is a collection of APIs and services that you can use to integrate intelligent features into your applications. The services …
MoreWhat is IBM Cloud?
IBM Cloud provides pay-as-you-go access to vast data storage and computing capabilities and allows you to scale the costs as you grow. Read more at …
MoreWhat is AWS (Amazon Web Services)?
AWS provides pay-as-you-go access to vast data storage and computing capabilities and allows you to scale the costs as you grow. Read more at …
MoreWhat is the Internet of Things?
The Internet of Things (IoT) refers to the connectivity of computing devices that allows them to interact with each other.
MoreWhat is Power BI?
Power BI integrates data from several sources, allowing users to create interactive reports and dashboards. Explore now at Nightingale HQ.
MoreWhat is AI?
Artificial intelligence is a broad area of computer science concerned with building computer programs that can think like humans. Learn more at …
MoreWhat is Amazon S3?
Amazon S3 is a highly scalable object storage service that can be used to store any amount of data for a range of use cases. Learn more with …
MoreWhat is AWS Redshift?
Amazon Redshift is a cloud-based, managed data warehouse service from Amazon Web Services. It allows you to integrate, store, and query large …
MoreWhat is data strategy?
Closely linked to a business strategy, a data strategy is simply the roadmap of how a company will utilise data to optimise their business.
MoreWhat is data science strategy?
Data science strategy is as much about planning and executing your businesses, data and AI initiatives as it is about building internal skills and …
More