VMware Uses Machine Learning to Add New Powers to Workspace One

Last week, VMware announced that they are launching a host of "smart" capabilities for its VMware Workspace Ane product that aims to deliver client insights and improve security. By using machine learning (ML) and other technologies, the identity management platform will reportedly monitor user beliefs, software performance, and hardware information. These features come during a fourth dimension when an increasing amount of business applications are implementing artificial intelligence (AI) capabilities.

Intelligent Management

Before taking a closer look at the new capabilities, it'due south important to understand exactly what VMware Workspace One is. For the uninitiated, the platform lets It departments remotely manage all employee devices and programs no thing where they are. This includes everything from mobile devices and virtual desktops to apps such as customer human relationship management (CRM) platforms. In turn, the solution provides users with cocky-service access to their favorite apps via the VMware Workspace app on their machine, where they simply enter 1 ready of login credentials for their programs. When we reviewed the VMware Workspace One solution final year, we were impressed with its features, application it our 4-star "First-class" rating.

Workspace Ane Intelligence was the first of their newly announced capabilities for the platform. By using ML, the software will now monitor and harvest information from the customer'southward network to aid spot opportunities for comeback. The platform also offers visualization tools to make agreement these insights simpler.

For example, let's say your company deployed a new app for employees and usage of the app is far below what you had hoped. Workspace One Intelligence, which is now able to track app performance, would tell you that almost of your employees are using a slower, outdated version of the app. By using the new Intelligence adequacy, y'all at present have the insights to spot the problem and instruct your employees to update the app. Workspace Ane Intelligence'southward features are bachelor now.

VMware besides appear the launch of its Workspace One Trust Network. Essentially, VMware has opened upward the platform's awarding programming interfaces (APIs) to a select network of partners, including Crowdstrike, McAfee, Symantec, and other major security players. VMware has also allowed these companies to feed data into the platform. Permit's say a security threat is present in your network that affects unpatched Windows PCs. In theory, these partners, with their wealth of noesis in the latest cybersecurity threats, would be able to feed an alert regarding the unpatched systems into VMware Workspace 1. Yous can even ready a rule to automatically push those kinds of updates.

"By leveraging the knowledge base of operations of these partners, we are in a position where nosotros are much amend suited toward quickly identifying threats and solving those problems," said David Grant, Vice President of Marketing at VMware. Customers will exist able to take advantage of the Workspace One Trust Network after this jump.

Smarter Business organisation Tools

VMware's infusion of "smart" capabilities for VMware Workspace Ane is similar to what we've seen in other parts of the business software landscape. This calendar month solitary, Microsoft announced a new set of tools with so-called "intelligent features," including new capabilities for its Microsoft Power BI platform. AI chatbots are taking over our client service software and AI-laden products are condign more ubiquitous in the workplace.

Pam Baker is a business analyst, PCMag correspondent specializing in analytics, and author of the book Data Divination: Big Data Strategies. Baker has spent a peachy bargain of her career covering the world of Large Information and its bear on. While the tech is certainly exciting, she argues that these "intelligent" initiatives are not without their hurdles.

"ML is only as good as its models and not all models are created equal," said Baker. "Furthermore, it's very difficult to test ML models because information technology's almost incommunicable to get the same output from two identical runs. And it's very difficult to modify, correct, or manage a model that you can't test." According to Baker, this is known in the research field as the "ML reproducibility crunch."

Regarding the security promises VMware and other vendors have fabricated when it comes to ML, Baker was as cautious. "Vendors ofttimes tout predictive capabilities for security purposes simply take that with a grain of common salt," she said. "ML works reasonably well with beliefs analytics in predicting insider threats, and it works reasonably well in the prediction and early detection of known security threats. Merely it tin can't predict a security threat or vulnerability that is unknown. The central is to understand its limits but leverage its strengths."

To put it in more nerd-friendly terms, Baker used an interesting metaphor. "It's not Batman. That would be a dedicated security analyst," she said. "ML is Robin, the helpful sidekick. But Batman still needs his utility belt."

Source: https://sea.pcmag.com/vmware-workspace-one/20377/vmware-uses-machine-learning-to-add-new-powers-to-workspace-one

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