Azur Systems vs. CheckPoint

I would highly recommend Azure machine learning design for those with less access to high-end computing infrastructure, as using Azure saves a lot of time, money, and effort by providing a hustle-free platform that is easy to use and train your employees on. On the other hand, if you are looking for complete control of the machine learning model you create and would like to add detailed functionalities and try different algorithms, then Azure is less suitable here as it’s very high level.

Incentivized

If the org has more than a couple of hundred endpoints, I would recommend help from pro services otherwise the UX is going to cause confusion. Its almost as if a new customer would need hand holding because the UX is so .... unconventional.

Incentivized

• Leverage machine learning as a service.
• Accelerate machine learning with best-breed algorithms.
• Support remote working with cloud-based services.
• Creation of compliant and secure machine learning applications.

Incentivized

• Scans local endpoints for malware fairly quickly
• Can be installed by InTune

Incentivized

• Limited storage for those using the free version.
• Limited number of machine learning algorithms.
• Because of its high-level design, it doesn’t give the developers much control as you don’t write much code in to do what you exactly want.

Incentivized

• In my experience, notifications are completely broken and non-functional
• In my opinion, confusing UX for the cloud portal
• Don't try and import 100's of endpoints when onboarding because it will create a mess

Incentivized

It’s fierce competition, but Azure as a Microsoft product is more stable and performs better than Amazon AWS since all of our machines are built on Microsoft Operating systems. Azure provides a pay-per-minute service, unlike AWS, which provides a pay-per-hour service. Azure allows direct linking to exist cloud storage that we already use at our institution, such as OneDrive. Azure has a friendly and easy-to-use interface that staff and students are already used to working with other Microsoft products.

Incentivized

There is no clear leader for anti-malware, all have strengths and weaknesses, nothing is good or great at everything.

Incentivized

• Reduce energy consumption caused by GPUs.
• Saves on recycling and transporting costs and maintenance caused by buying high-end equipment.
• Improve productivity as building products using Azure is easier than building everything up from scratch (e.g., machine learning and AI applications).

Incentivized

• ROI is satisfactory because it is doing the basics of preventing malware infections

Incentivized