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 84

Data science Analytics Unstructured data Artificial Intelligence 84

Security Affairs

NOVEMBER 16, 2018

The threats that are notable for the Asian region are represented by a significant number of attacks aimed at manufacturing of chips, microprocessors and system control boards of different IT vendors, whose principal manufacturing operations are located in Asia.

Phishing 83

Phishing Manufacturing Marketing Blockchain 83

Troy Hunt

NOVEMBER 25, 2020

Back to the bit about risks impacting data collected by IoT devices and back again to CloudPets, Context Security's piece aligned with my own story about kids' CloudPets messages being left exposed to the internet. Yeah, me either, because most of mine are probably like yours: the simplest electrical devices in the house.

IoT 143

IoT Security Risk Cloud 143

Collibra

NOVEMBER 18, 2021

Yes, the ancient pyramids relied not only on labor and raw materials, but on data collection and analysis. . Data collection is what we do. Today, we think of Big Data as a modern concept. Cloud storage, text mining and social network analytics are vital 21 st century tools. How United by Data connects us.

IT 52

IT Data collection Analytics Military 52

eSecurity Planet

SEPTEMBER 16, 2022

In its 2021 Threat Force Intelligence Index , IBM reported that manufacturing and financial services were the two industries most at risk for attack, making up 23.2% They’re also useful for background checks, data analytics, and data mining. of attacks IBM handled, respectively. Though powerful, the system isn’t perfect.

Analytics 113

Analytics Risk Authentication Financial Services 113