software news
Rick Whiting
Data science and machine learning technologies are in high demand as companies look for ways to analyze big data and automate data-centric processes. Here are 10 startups with cutting-edge data science and machine learning technology that caught our attention this year (so far).
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According to market research firm IDC, the amount of data in the global “data sphere” (the total amount of data created, retrieved, replicated, and consumed) continues to explode, growing at a rate of more than 20% annually. , will reach about 291 zettabytes in 2027.
Companies and organizations’ efforts to extract value from all their data are driving demand for data science tools and technologies for developing data analysis strategies, preparing data for analysis, developing data visualizations, and building data models. I’m here. (Data science is the field of study that uses scientific approaches to extract meaning and insights from data.)
And much of that data is being used to power machine learning projects, building machine learning models and connecting them to operational applications and software capabilities such as personalization and natural language interfaces to unlock new insights within enterprise businesses. ML Engineering’s Daniel Treiman says it’s becoming more prevalent in Leader of his 2023 ML Predictions list for ML platform developer Predibase.
All of this is fueling demand for increasingly sophisticated data science and machine learning tools and platforms. Below are 10 popular data science and machine learning tools designed to meet these demands.
Some are industry giants, some are more established IT vendors, and many are start-ups specializing in the fields of data science and machine learning. Some of these include new products introduced last year, as well as new releases of tools and platforms that provide enhanced capabilities to meet the latest demands in this rapidly changing field.
Rick Whiting
