IBM Big Data Hub

FEBRUARY 14, 2024

Process automation is often centered on efforts to optimize spend, achieve greater operational efficiency and incorporate new and innovative technologies, which often translate into a better customer experience. Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies.

Cost-Benefit 89

Cost-Benefit Insurance Unstructured Data Machine Learning 89

Domino Data Lab

JULY 28, 2021

Today, the most advanced techniques used in data science are grouped under the term Artificial Intelligence (AI) Due to their information-acquiring nature, machine learning, deep learning, natural language processing (NLP) and computer vision are all considered branches within the field of AI. None of these techniques are new.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

Cloudera

SEPTEMBER 12, 2018

Voya Financial prevented millions of dollars of fraudulent transactions by deploying predictive analytic capabilities on Cloudera. AbbVie’s platform uses analytics and machine learning, including natural language processing, deep learning, and unsupervised learning, to proactively identify issues and opportunities.

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

BizAcuity

MARCH 31, 2022

you already have a data strategy in place, then it is easier to identify and analyze where AI would be the most useful for your business.Analytics Insight has an informative blog on the wide range of use-cases of AI in prominent industries. Content writing, copywriting, video analytics and customer reinvestment, all have AI applications now.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 80

Machine Learning Manufacturing Cost-Benefit Deep Learning 80

IBM Big Data Hub

DECEMBER 20, 2023

ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. In other words, ML leverages input data to predict outputs, continuously updating outputs as new data becomes available. temperature, salary).

Machine Learning 83

Machine Learning Modeling Deep Learning Predictive Modeling 83

Domino Data Lab

JULY 22, 2019

This blog post provides a concise session summary, a video, and a written transcript. You know, case in point, if you were to talk about predictive analytics 20 years ago, the main people in the field would have laughed you out of the room. Predictive analytics, yeah, not so much.” Session Summary.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

datapine

NOVEMBER 19, 2019

There are a large number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others. An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data.

Technology 279

Technology Internet of Things IT IoT 279

Business Over Broadway

DECEMBER 20, 2018

All of my top blog posts of 2018 (most reads) are all related to data science, with posts that address the practice of data science, artificial intelligence and machine learning tools and methods that are commonly used and even a post on the problems with the Net Promoter Score claims. Click image to enlarge.

Machine Learning 74

Machine Learning Data Science Deep Learning Predictive Analytics 74

Smart Data Collective

OCTOBER 13, 2021

This is something that you can learn more about in just about any technology blog. 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). How is Data Virtualization performance optimized?

Visualization 135

Visualization Cost-Benefit Big Data Prescriptive Analytics 135