IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Because data analysts often build machine learning models, programming and AI knowledge are also valuable. Deep learning algorithms are neural networks modeled after the human brain.

Machine Learning 57

Machine Learning Data Science Statistics Deep Learning 57

FineReport

APRIL 26, 2023

For example, a computer manufacturing company could develop new models or add features to products that are in high demand. Predictive Analytics assesses the probability of a specific occurrence in the future, such as early warning systems, fraud detection, preventative maintenance applications, and forecasting.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

BizAcuity

MARCH 31, 2022

Marketers also have access to several AI softwares to save time and optimize their work at every step of the funnel. Content writing, copywriting, video analytics and customer reinvestment, all have AI applications now. The aim of predictive analytics is, as the name suggests, to predict and forecast outcomes.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

AWS Big Data

MARCH 26, 2024

Amazon AppFlow ingests data from software as a service (SaaS) applications like Google Analytics, Salesforce, SAP, and Marketo, giving you the flexibility to ingest data from more than 50 SaaS applications. AWS Data Exchange makes it straightforward to find, subscribe to, and use third-party data for analytics.

Data Strategy 71

Data Strategy Strategy Data Warehouse Prescriptive Analytics 71

Smart Data Collective

OCTOBER 13, 2021

Over time, it is true that artificial intelligence and deep learning models will be help process these massive amounts of data (in fact, this is already being done in some fields). Patterns, trends and correlations that may go unnoticed in text-based data can be more easily exposed and recognized with data visualization software.

Visualization 135

Visualization Cost-Benefit Big Data Prescriptive Analytics 135

datapine

NOVEMBER 27, 2019

That being said, business users require software that is: Easy to use. Then, calculations will be run and come back to you with growth/trends/forecast, value driver, key segments correlations, anomalies, and what-if analysis. 4) Predictive And Prescriptive Analytics Tools. Agile and flexible. Reduces time to insight.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. The commercial use of predictive analytics is a relatively new thing.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Andrew White

JANUARY 11, 2021

This was for the Chief Data Officer, or head of data and analytics. Gartner also published the same piece of research for other roles, such as Application and Software Engineering. Where does the Data Architect role fits in the Operational Model ? Decision modeling (one of my favorites). Try some gamification?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

In a recent study by Mordor Intelligence , financial services, IT/telecom, and healthcare were tagged as leading industries in the use of embedded analytics. Healthcare is forecasted for significant growth in the near future. Which industries are adopting embedded analytics? This holds true for embedded analytics as well.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52