U-Next

AUGUST 11, 2022

Data Scientist: A Data Scientist studies data in depth to automate the data collection and analysis process and thereby find trends or patterns that are useful for further actions. Hence, Data Analysts require expertise in more than just spreadsheets, like SQL, Python, Tableau, Power BI, business intelligence, etc.

Medical 52

Medical Computer Science Scala Machine Learning 52

AltexSoft

JUNE 14, 2021

For example, these companies use customer data from wearable and smart devices to monitor the user’s lifestyle. If the user’s data indicate the emergence of a serious medical condition, they can send the customer content designed to change their detrimental lifestyle or recommend immediate treatment. Personalized communications.

Insurance 88

Insurance Medical Machine Learning Data Collection 88

Knowledge Hut

NOVEMBER 3, 2023

Data Visualization It provides a wide range of networks, diagrams, and maps. Boasts an extensive library of customizable visuals for diverse data representation. Augmented Analytics Incorporates machine learning and AI for automated data preparation, insights, and suggestions. How Are They Similar?

BI 52

BI Cloud Retail Medical 52

U-Next

SEPTEMBER 22, 2022

Businesses gain a competitive advantage by predicting the future. Predictive modeling , which is a byproduct of artificial intelligence, goes one step beyond predictions. Machine Learning and business intelligence are used in predictive analytics, also known as advanced analytics. . What Are Predictive Models? .

Hospitality 40

Hospitality Algorithm Machine Learning Banking 40

AltexSoft

MAY 14, 2021

Data can be incomplete, inconsistent, or noizy, decreasing the accuracy of the analytics process. Due to this, data veracity is commonly classified as good, bad, and undefined. That’s quite a help when dealing with diverse data sets such as medical records, in which any inconsistencies or ambiguities may have harmful effects.

Big Data 78

Big Data Data Analytics IT NoSQL 78