9 Reviews and Ratings
6 Reviews and Ratings
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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
Ungerboeck Software is best suited for small or large service or product based organizations. The "out of the box" work flow process & set up is suitable for most business operations. The flexibility to configure work flow, layout of screens, fields, and individual user settings makes the software suitable to many business types.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
Creation and organization of contracts.Accounts receivable related to contracts that owe us money.Purchase order system and payments.Ease of use in exporting financial data for financial reporting.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
At availability booking level, I would like to see an option to add Move In (set up) and Move Out (tear down) times rather than copying/pasting once space is booked.Strengthen the iEBMS field functionality; specifically the online booking request and calendar of events.Incentivized
Software upgrade to latest version and to hosted environment took longer than expected 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
Contract integration was key for usIncentivized
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
It keeps all events accessibleIncentivized