IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data science 77

Data science Analytics Unstructured data Artificial Intelligence 77

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

Data science 55

Data science Big data Analytics Mining 55

IBM Big Data Hub

DECEMBER 19, 2023

Anomalies are not inherently bad, but being aware of them, and having data to put them in context, is integral to understanding and protecting your business. The challenge for IT departments working in data science is making sense of expanding and ever-changing data points.

Unstructured data 65

Unstructured data Artificial Intelligence Sales Manufacturing 65

IBM Big Data Hub

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. Named entity recognition (NER): NER extracts relevant information from unstructured data by identifying and classifying named entities (like person names, organizations, locations and dates) within the text.

Mining 53

Mining Marketing Artificial Intelligence Customer Experience 53

IBM Big Data Hub

JANUARY 10, 2024

Artificial intelligence (AI) refers to the convergent fields of computer and data science focused on building machines with human intelligence to perform tasks that would previously have required a human being. In order to “teach” a program new information, the programmer must manually add new data or adjust processes.

Artificial Intelligence 76

Artificial Intelligence Unstructured data Data science Customer Experience 76

Collibra

AUGUST 7, 2020

Across all industry verticals, companies are collecting much greater volumes of data, which points to the need for scalable, cost-effective solutions. They are also collecting a greater variety of data (including structured, semi-structured and unstructured data) that is difficult to describe via a single schema.

Cloud 81

Cloud Government Unstructured data Analytics 81

Thales Cloud Protection & Licensing

DECEMBER 8, 2020

Data privacy is a step in the right direction for a holistic data security and privacy strategy. Organizations that are using data science to boost their business will have to comply with multiple regulations. Better data visibility to the rescue. 5 Steps to Effective Data Privacy and for a Secure Organization.

Privacy 62

Privacy Digital transformation Data Privacy Risk 62