IBM Big Data Hub

NOVEMBER 29, 2023

With the emergence of new advances and applications in machine learning models and artificial intelligence, including generative AI, generative adversarial networks, computer vision and transformers, many businesses are seeking to address their most pressing real-world data challenges using both types of synthetic data: structured and unstructured.

Privacy 88

Privacy Data Privacy Artificial Intelligence Risk 88

IBM Big Data Hub

JULY 6, 2023

Data science solves a business problem by understanding the problem, knowing the data that’s required, and analyzing the data to help solve the real-world problem. Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on learning from what the data science comes up with.

Data science 59

Data science Big data Analytics Mining 59

CILIP

OCTOBER 26, 2018

s internal data and making it accessible to machines will enable technologies like artificial intelligence. You need to have your structured data structured in a good place ? Then graph databases, etc, are for your unstructured data. s the how, not the what.? New technology. Joining up the firm?s

Artificial Intelligence 40

Artificial Intelligence Unstructured data Data structuring IT 40

IBM Big Data Hub

JUNE 23, 2023

With the advent of artificial intelligence (AI) , however, companies are now implementing cognitive process automation that enables self-service options for customers and agents self-service and assists in automating many other functions, such as the IT Help Desk and employee HR capabilities.

Insurance 61

Insurance Cloud Digital transformation Customer Experience 61

IBM Big Data Hub

JULY 6, 2023

While artificial intelligence (AI), machine learning (ML), deep learning and neural networks are related technologies, the terms are often used interchangeably, which frequently leads to confusion about their differences. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other?

Artificial Intelligence 61

Artificial Intelligence Unstructured data Data structuring Customer Experience 61

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

Adam Levin

APRIL 8, 2019

Each of these services have, at a minimum, hundreds of millions of active users, all of them with different security protocols, data structures and network requirements. This cross-platform integration represents a monumental undertaking.

Privacy 40

Privacy Artificial Intelligence Data Privacy Passwords 40