Pickl AI

MARCH 10, 2023

One way to solve Data Science’s challenges in Data Cleaning and pre-processing is to enable Artificial Intelligence technologies like Augmented Analytics and Auto-feature Engineering. Some of the tools used by Data Science in 2023 include statistical analysis system (SAS), Apache, Hadoop, and Tableau.

Data Scientist 52

Data Scientist Data Science Apache Hadoop Machine Learning 52

Tableau

JUNE 17, 2021

Chief Product Officer, Tableau. Even with a deep understanding of the business, if your users can’t find the right data or navigate dashboards to answer their questions, they aren’t likely to embrace analytics for making decisions. At Tableau, we are relentless in our mission to help people see and understand data.

Augmented Analytics 135

Augmented Analytics Analytics Analytics Tableau 135

Tableau

JUNE 17, 2021

Chief Product Officer, Tableau. Even with a deep understanding of the business, if your users can’t find the right data or navigate dashboards to answer their questions, they aren’t likely to embrace analytics for making decisions. At Tableau, we are relentless in our mission to help people see and understand data.

Augmented Analytics 52

Augmented Analytics Analytics Analytics Tableau 52

Pickl AI

DECEMBER 4, 2024

Summary: The future of Data Science is shaped by emerging trends such as advanced AI and Machine Learning, augmented analytics, and automated processes. The benefits of augmented analytics include: Faster Insights : Automated processes enable quicker access to insights, allowing organisations to respond to market changes promptly.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52