article thumbnail

5 key areas for tech leaders to watch in 2020

O'Reilly

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. The results for data-related topics are both predictable and—there’s no other way to put it—confusing. This follows a 3% drop in 2018.

article thumbnail

5 data integration trends that will define the future of ETL in 2018

Abhishek Tiwari

Data solution vendors like SnapLogic and Informatica are already developing machine learning and artificial intelligence (AI) based smart data integration assistants. These assistants can recommend next-best-action or suggest datasets, transforms, and rules to a data engineer working on a data integration project.