CIO Business Intelligence

JANUARY 30, 2024

If you want to sell anything to anyone under 40, you will need a compellingly composed and authentically executed sustainability strategy. Strategy is the operating system for “what is that.” As CIO, you need a data strategy. You need a cloud strategy. You need a security strategy. Strategy is not a synonym for “plan.”

Strategy 119

Strategy Artificial Intelligence Exercises Operating Systems 119

Dataconomy

JUNE 27, 2023

Enable two-factor authentication Two-factor authentication adds an extra layer of security to your accounts. Ensure that the antivirus software is compatible with your operating system and its specific version. Finally, take into account your budget and requirements when considering free or paid antivirus options.

Malware 68

Malware Software Software Financial 68

Scott Lowe

MAY 27, 2022

Along those lines, one of their latest articles discusses how to achieve identity-based mutual authentication leveraging eBPF. Operating Systems/Applications. I’ve seen a lot of work-from-home desk setups, but this one stood out as actually having some budget-conscious selections (which is often not the case).

Virtualization 79

Virtualization Storage Network Programming 79

Dataconomy

FEBRUARY 5, 2024

” As one of Apple’s most ambitious undertakings, the Vision Pro has been a year in development, loaded with groundbreaking technology, including the introduction of a new operating system, visionOS, which alone could justify its significant price tag. The question “What does Apple Vision Pro do?

Apple 78

Apple 3D Video Virtualization 78

Dataconomy

MARCH 21, 2023

Some of the reasons why containers are important for data science are: Portability : Containers are portable, meaning that they can run on any system with the same underlying operating system and container runtime. This allows for easier collaboration and sharing of code across different teams and environments.

Data 28

Data Applications Tools Resources 28

Dataconomy

MARCH 21, 2023

Some of the reasons why containers are important for data science are: Portability : Containers are portable, meaning that they can run on any system with the same underlying operating system and container runtime. This allows for easier collaboration and sharing of code across different teams and environments.

Data 28

Data Applications Tools Resources 28

Scott Lowe

MARCH 20, 2020

Chris Wahl touches on the topic of using GitHub personal tokens to authenticate to HashiCorp Vault. Operating Systems/Applications. Kornelis Sietsma looks at the options for working with multiple git identities on a single system. Her setup is a bit pricey for my budget, but still provides some useful ideas.

Linux 60

Linux Vmware Authentication Storage 60