Where Endpoint Management and Security Meet

Upgrade existing tools or net new platform investments? This is the question IT operations and information security teams are wrestling with as they attempt to secure an expanding perimeter driven by cloud, mobile, and IoT. Should companies maintain a traditional siloed tool approach or embrace a modern management approach that unifies management and security policies across users, devices, applications, networks, and data? The ultimate goal is to deliver a secure workspace by authenticating users across devices and enforcing policies based on location, device type, application, data, and the security posture of the end-user. This seems simple enough, but given the stress mobility, cloud, and IoT are putting on IT and security pros and the market dynamics ESG is observing with endpoint management and security vendors, business are finding themselves in a quandary. The one constant for businesses is change as more devices, applications, and innovative ideas continue to pour in, but these leave IT operations and security teams with the challenge of answering: To read the complete article, CLICK...

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Artificial Intelligence and Machine Learning…

The traction over the last few years in the artificial intelligence (AI) and machine learning (ML) space is remarkable, and I’m not just talking about consumer-based products like self-driving cars, or virtual assistants like Google Assistant, Alexa, or Siri. While those products get the headlines, AI/ML is rapidly spreading across the enterprise IT space. I feel like I can’t go a day without a company mentioning AI or ML as part of their product or forward-looking strategy. It’s not just for crazy, sci-fi predictive analytics projects in a bunker somewhere. While that definitely still happens, AI and ML (and deep learning too) are being used across all aspects of IT: big data, cloud, IoT, security, infrastructure, systems management, etc.While AI/ML is a top priority for businesses that expect it to have a significant (positive) business impact as they continue to digitally transform, investments remain modest because of its sheer impact on all aspects of the infrastructure. Challenges associated with infrastructure cost, lack of in-house expertise, and insufficient data quality are just the start. To read the complete article, CLICK...

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…On-premises Infrastructure Spending Trends…

ESG conducted research on the spending intentions of 651 IT decision makers to determine how 2018 may differ from previous years. We found out that the majority of organizations were largely going to keep their infrastructure spend flat or even reduce the amount they spend on infrastructure. For many organizations this can be attributed to two initiatives – Hyperconverged and Cloud.As more organizations drive more applications to hyperconverged environments and cloud-based platforms, less on-premises infrastructure will be required. In fact, when asked where organizations felt they could streamline infrastructure and reduce costs, server, storage and networking topped the list. The video below also identifies the direct correlation of increased cloud usage to reduced infrastructure spending. Watch the video for more details. To read the complete article, CLICK...

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IBM’s… Back to Kicking Butt

I’m ex-IBM myself and it gives me great pleasure to see my old firm do well. Well this quarter they didn’t disappoint with significant improvement in their new business initiatives, which are just short of 50 percent of revenue. You remember the mainframe, that platform that supposedly was dead back in the 1980s? Well, once again IBM showcased there is evidently life after death because that puppy grew more than a whopping 70 percent year over year. Let’s talk about IBM’s results and why IBM, after 100 years, is again able to perform at the top of their class. To read the complete article, CLICK HERE NOTE: This column was originally published in the Pund-IT...

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No More Dealing with Infrastructure…

The most exciting announcement during AWS re:Invent for cloud computing infrastructure foundation was Fargate. There were a slew of new announcements and I don’t want to de-emphasize the other ones too much, but this one was the most interesting to me. First, a bit of background. There’s lot of confusion on VMs, containers, and functions. Here are the differences: The key thing is that the VMs allow a server to run as one big piece (OS + whatever apps are installed), containers allow applications (which includes providing microservices, but no OS, but the underlying system beneath the container layer provides the Linux interface) to run, and serverless is a place to run code (or functions). Each stage enables slicing a workload into smaller pieces. Fargate is a system that enables you to run deploy your containers on AWS, and do so in a way that’s just as easy as getting VMs from EC2. This allows developers to ignore the setting up of infrastructure. To read the complete article, CLICK...

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