If you’re considering a machine learning project, you probably know that you need data, and lots of it. And while many companies are swimming in volumes of data, that data is almost never ready for AI and ML projects. It must be prepared, which can include cleansing, annotation, and more.
Data Prep: What Data Scientists Wish You Knew
Amazon Web Services (AWS)
AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 175 fully featured services from datacenters globally. Millions of customers are using AWS to lower costs, become more agile, and innovate faster.
CloudFactory is a global leader in combining people and technology to provide a workforce in the cloud for machine learning and core business data processing.
Cognilytica is an AI focused research, advisory, and education firm.
Databricks is the data and AI company. Thousands of organizations worldwide rely on Databricks’ open and unified platform for data engineering, machine learning and analytics. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to solve the world’s toughest problems.
Maverick Quantum Inc (mavQ)
Maverick Quantum Inc (mavQ) is a low code & artificial intelligence platform that enables organizations with digital transformation while creating valuable insights and outcomes.