InfoWorld Daily

January 06, 2020

Deep learning vs. machine learning: Understand the differences

Both machine learning and deep learning discover patterns in data, but involve dramatically different techniques Read more ▶

Your Must-Read Stories

•	The best programming language to learn

•	Most popular tech stories of 2019

•	Mitigating the risks of the AI black box

•	5 Microsoft developer tools and technologies to explore in 2020

•	Your excess server resources are wanted in the cloud

•	Customer-driven open source is the future of software

•	Wanted: More types of machine learning

IBM uses SaltStack as a global command and control layer that provides comprehensive audit, remote execution, automation, patch, and security detection and remediation for the IBM Cloud network. Read more ▶

The best programming language to learn

Python is clearly the best choice, unless a better choice is Java or JavaScript. Let's compare Read more ▶

DEALPOST

This $387 Azure certification prep bundle is currently on sale for $29

Set yourself up to pass Azure certification exams with these 4 courses. Read more ▶

Most popular tech stories of 2019

Insider Pro subscribers pick the Top 10 articles published in our debut year. Read more ▶

Mitigating the risks of the AI black box

If we don't understand how machine learning works, how can we trust it? Increasing model transparency creates risks as well as rewards Read more ▶

5 Microsoft developer tools and technologies to explore in 2020

What should Microsoft platform developers focus on in 2020? .NET 5, WinUI 3.0, AKS, WSL 2, and Azure Sphere, for starters Read more ▶

Your excess server resources are wanted in the cloud

The opportunity to leverage private server resources could make or save money for both parties, but governance and security are real concerns Read more ▶

Customer-driven open source is the future of software

The best software is software that companies build to scratch their own itches and address their own day-to-day needs Read more ▶

Wanted: More types of machine learning

Now that we're big into machine learning in the cloud, perhaps we should start thinking about how to do it better Read more ▶

White Paper: Salt Stack

SaltStack SecOps: Automated, universal IT system compliance and security enforcement

Security and IT operations teams must work together to keep modern data centers compliant and secure, but their efforts are often crippled by disparate toolsets, misaligned workflows, and competing priorities. It's time for that to change. SaltStack SecOps is a new solution that harnesses SaltStack's event-driven automation technology to deliver full-service, closed-loop automation for compliance and security. With SaltStack SecOps, security professionals and operations teams can work together to define a compliance policy, scan all systems against it, detect issues, and actively remediate them—all from a single platform. Read more ▶