Smart Data Collective

JUNE 19, 2022

Artificial intelligence is driving a lot of changes in modern business. Here are some of the risks that organizations face in dealing with suppliers, and what they can do to mitigate those risks with artificial intelligence. Since AI has proven to be so valuable, an estimated 37% of companies report using it.

Supply Chain 332

Supply Chain Artificial Intelligence Data Mining Logistics 332

Analysts Corner

OCTOBER 26, 2023

Data Analysis: The data analysis component of BI involves the use of various tools and techniques to explore, analyze, and visualize the data, enabling users to derive valuable insights and make informed decisions.

Business Intelligence 130

Business Intelligence Business Intelligence Supply Chain Data Mining 130

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 304

Predictive Analytics Pharmaceutical Artificial Intelligence Data Mining 304

Smart Data Collective

FEBRUARY 4, 2021

After all, without sufficient capital, one will need to leverage big data and artificial intelligence to outshine competitors. They can use data mining algorithms to find potential deductions and screen your tax records to see if you qualify. A lot of machine learning tools have made it easier to do your taxes.

Data Analytics 353

Data Analytics Data Analytics Big Data Banking 353

BizAcuity

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. As a result, finance, logistics, healthcare, entertainment media, casino and ecommerce industries witness the most AI implementation and development. These industries accumulate ridiculous amounts of data on a daily basis.

Artificial Intelligence 130

Artificial Intelligence Data Analytics Data Analytics Predictive Analytics 130

Sisense

APRIL 10, 2020

These libraries are used for data collection, analysis, data mining, visualizations, and ML modeling. When we say “modeling” in data science, we mean teaching a program to learn from training data using machine learning algorithms. Python has 200+ standard libraries and nearly infinite third-party libraries.

Visualization 98

Visualization Artificial Intelligence Data Mining Logistics 98

Marutitech

FEBRUARY 23, 2022

Technique likes data mining, and predictive modeling estimates the likelihood of future outcomes and alerts you about upcoming events to help you make decisions. Key Industries : Automotive, Logistic & Transportation, Oil & Gas, Manufacture, Utilities. 6. Predictive analytics is one of these practices. Risk Modeling.

Predictive Analytics 92

Predictive Analytics Supply Chain Pharmaceutical Retail 92