IBM Big Data Hub

SEPTEMBER 6, 2023

AI can help by performing predictive analytics on customer data, analyzing huge amounts in seconds using fast, efficient machine learning (ML) algorithms. Step 4: Test the quality of data The success of an AI marketing tool depends on the accuracy and relevancy of the data it’s trained on.

Marketing 79

Marketing Technology Advertising ROI 79

IBM Big Data Hub

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends.

Enterprise 96

Enterprise Interactive Data-driven Key Performance Indicator 96

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

IBM Big Data Hub

FEBRUARY 14, 2024

Clean up with predictive maintenance AI can be used for predictive maintenance by analyzing data directly from machinery to identify problems and flag required maintenance. Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies. See what’s ahead AI can assist with forecasting.

Cost-Benefit 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

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 46

Machine Learning Big Data Data Science Data Warehouse 46

CIO Business Intelligence

APRIL 15, 2022

MIT Technology Review has chronicled a number of failures, most of which stem from errors in the way the tools were trained or tested. That line of inquiry led to a predictive analytics project that would famously lead the retailer to inadvertently reveal to a teenage girl’s family that she was pregnant. In a statement on Oct.

Analytics 144

Analytics Machine Learning Insurance Testing 144

BizAcuity

MARCH 31, 2022

More use-cases are being tried, tested and built everyday, the innovation in this field will not cease for the next few years. But AI platforms like TensorFlow, MS Azure and Google AI allow large sets of data to be used for training, testing, developing and deploying AI applications and algorithms. Applications of AI. AI in Marketing.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Smart Data Collective

MAY 19, 2021

They are exploring the wonders of AI and predictive analytics to drive these changes. One of the ways that companies are using data analytics is to identify market growth opportunities. Predictive analytics technology can help anticipate future demand and respond accordingly.

Data Analytics 89

Data Analytics Analytics Big Data Predictive Analytics 89