Data science Manufacturing Security 
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.
Krebs on Security
MAY 22, 2023
His resume also says he is a data science intern at Mondi Group , an Austrian manufacturer of sustainable packaging and paper. ” “He’s not even an information security specialist,” Quotpw said of Sergey. Mr. Proshutinskiy did not respond to requests for comment.
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The Last Watchdog
JUNE 4, 2019
GCIS was a Davos-level conference with no vendors and no selling, where scores of chief security information officers (CISOs), top CEO’s, industry and government thought leaders and leading innovators discussed the myriad challenges in and around cybersecurity and possible solutions in today’s environment.
Security Affairs
JUNE 18, 2023
The BlackCat/ALPHV ransomware gang claims to have stolen 80GB of data from the Reddit in February cyberattack. In February, the social news aggregation platform Reddit suffered a security breach , attackers gained unauthorized access to internal documents, code, and some business systems. continues the notice.
IBM Big Data Hub
OCTOBER 20, 2023
” When observing its potential impact within industry, McKinsey Global Institute estimates that in just the manufacturing sector, emerging technologies that use AI will by 2025 add as much as USD 3.7 Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.
eSecurity Planet
OCTOBER 12, 2022
Endpoint technologies are the latest to join the unification craze, as endpoint security and mobile device management are getting folded into unified endpoint management (UEM) solutions. UEM tools apply data protection, device configuration and usage policies using telemetry from identities, apps, connectivity, and devices. UEM Trends.
IBM Big Data Hub
SEPTEMBER 20, 2023
Another key vector is the increasing importance of computing at the enterprise edge, such as industrial locations, manufacturing floors, retail stores, telco edge sites, etc. More specifically, AI at the enterprise edge enables the processing of data where work is being performed for near real-time analysis.
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