IBM Big Data Hub

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

Data science 56

Data science Artificial Intelligence Paper Compliance 56

IBM Big Data Hub

SEPTEMBER 20, 2022

Organizations are increasingly depending upon artificial intelligence (AI) and Machine Learning (ML) to assist humans in decision making. Automated, integrated data science tools help build, deploy, and monitor AI models. Processes that provide AI governance.

Data science 57

Data science Metadata Government Access 57

CILIP

OCTOBER 8, 2019

Now we are in a place where Big Data and Artificial Intelligence (AI) are the ideas that are set to launch the next big thing. New conference, ConTech, which takes place in December and is in its second year aims to capitalise on the buzz about data and AI for anyone working with content ? Content delivery pioneers.

e-Delivery 40

e-Delivery Libraries Data science Artificial Intelligence 40

ARMA International

SEPTEMBER 13, 2021

The nomenclature can extend to include Data as a Service (DaaS), Content as a Service (CaaS), and Managed Content as a Service (MCaaS) to deliver digital interaction experiences to customers. More recent technology trends include Blockchain as a Service (BaaS) and Artificial Intelligence as a Service (AIaaS).

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

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.

Data science 77

Data science Manufacturing Artificial Intelligence Retail 77

eSecurity Planet

DECEMBER 19, 2023

We each need to consider how these trends may affect our organizations and allocate our budgets and resources accordingly: AI will turbo-charge cybersecurity and cyberthreats: Artificial intelligence (AI) will boost both attackers and defenders while causing governance issues and learning pains.

Cybersecurity 136

Cybersecurity Cloud Ransomware Risk 136

IBM Big Data Hub

MAY 9, 2023

Today is a revolutionary moment for Artificial Intelligence (AI). It offers its users advanced machine learning, data management , and generative AI capabilities to train, validate, tune and deploy AI systems across the business with speed, trusted data, and governance. Depending on the task, watsonx.ai

Artificial Intelligence 109

Artificial Intelligence Cloud Metadata Access 109