The 10 Hottest Data Science And Machine Learning Tools Of 2023 (So Far)
Data science and machine learning technologies are in big demand as businesses look for ways to analyze big data and automate data-focused processes. Here are 10 startups with leading-edge data science and machine learning technology that have caught our attention (so far) this year.
Data volumes continue to explode with the global “datasphere” – the total amount of data created, captured, replicated and consumed – growing at more than 20 percent a year to reach approximately 291 zettabytes in 2027, according to market researcher IDC.
Efforts by businesses and organizations to derive value from all that data is fueling demand for data science tools and technologies for developing data analysis strategies, preparing data for analysis, developing data visualizations and building data models. (Data science is a field of study that uses a scientific approach to extract meaning and insights from data.)
And more of that data is being used to power machine learning projects, which are becoming ubiquitous within enterprise businesses as they build machine learning models and connect them to operational applications and software features such as personalization and natural language interfaces, notes Daniel Treiman, ML engineering lead at ML platform developer Predibase, in a list of ML predictions for 2023.
All this is spurring demand for increasingly sophisticated data science and machine learning tools and platforms. What follows is a look at 10 hot data science and machine learning tools designed to meet those demands.
Some are from industry giants and more established IT vendors while many are from startups focused exclusively on the data science and machine learning sectors. Some of these are new products introduced over the last year while others are new releases of tools and platforms that offer expanded capabilities to meet the latest demands of this rapidly changing space.