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Data science has evolved dramatically over the last 10 years. However, very few organizations have experienced the full business impact or competitive advantage from their advanced analytics initiatives despite significant investments in data science and machine learning (ML).
In 2022, six emerging trends have the potential to accelerate ML projects and move organizations from descriptive toward predictive and prescriptive analytics.
In this ebook, you will learn how:
Multi-programming language support and easy-to-use ML tools can overcome the BI and AI divide
Advances in data sharing for various data types, including unstructured data, can accelerate your workflow
Feature stores enable data scientists to manage and deploy ML features at scale
New distributed training frameworks offer an alternative superior to Spark while delivering up to 2,000x faster performance