Mattermost 5.19 includes new features that will help your team work together more efficiently. Try these new features by downloading Mattermost 5.19 today. Since it includes security updates, upgrading is recommended.
ITIL 4 has the potential to launch a massive shift in the evolution of IT service management. We're used to thinking in terms of a "service lifecycle", but ITIL 4 introduces a service value chain—where activities that create value can be started at any point, by anyone. Let our experts help you sort through the chaos of this intellectual shift.
In the latest article in our series focusing on the Amazon Builders’ Library, Yan Cui highlights the key insights from Avoiding insurmountable queue backlogs by AWS Principal Engineer David Yanacek.
From open-sourcing our employee security training to sharing security best practices, PagerDuty is committed to contributing to the security community as a whole and considers security as a company-wide commitment. Our customers trust us to keep their data safe and secure. And on December 13, 2019, we took another step in embracing that trust by completing our SOC 2 Type 2 examination.
(This is the first post by our new head of Customer Success, Irving.) Sampling is a must for applications at scale; it’s a technique for reducing the burden on your infrastructure and telemetry systems by only keeping data on a statistical sample of requests rather than 100% of requests. Large systems may produce large volumes of similar requests which can be de-duplicated.
In the ever-changing healthcare industry, hospitals or treatment centers continue to experience an upswing in technology innovation and adoption. Tech innovation in healthcare equates to quick response times and maximum patient satisfaction. At its core, new technology and processes are built to streamline healthcare workflows, ensuring that patient issues are always addressed. In this post, you will discover six healthcare trends that will make an immediate impact on healthcare in 2020.
The new customer-centric customer service model—it’s all about resolving customer issues not efficiency and savings Are your customer service strategies shifting to align with enterprise digital transformation efforts across the business? If you’re still measuring customer service success based on how efficient and cheap it is to meet the needs of your customers, the answer likely is no.
Despite the hype around predictive maintenance, basic data collection and analysis are still high priorities for manufacturing companies and key criteria for the success of Industrial Internet of Things (IIoT) projects. It is crucial that people who are most familiar with industrial assets, like process or control engineers, have direct access to industrial data. That way inadequate situations such as breakdowns can be resolved quickly.
As I have mentioned in previous blogs use of AI can be challenging, but it can also deliver a lot of positive outcomes. Many of our customers believe that they have a skills and understanding gap when it comes to AI, which is why we are delighted to have been working with the World Economic Forum (WEF) to draft guidance on how these types of techniques can be used and assessed.
