bugfender

How to Gather Data for Machine Learning

Unless you’ve been living in a cave these last few months (a cave that somehow carries sufficient WiFi coverage to reach our blog), you’ll doubtless have heard about machine learning. If you’re a developer, chances are you’re intrigued. The machine learning algorithm, which solves problems without requiring detailed instructions, is one of the most exciting technologies on the planet.

Setting up Zia, your service desk's conversational virtual IT support agent [Webinar]

The cloud version of ServiceDesk Plus now comes with your own virtual support agent, #Zia, who can be the first point of contact for your service desk. Zia helps perform simple service desk activities and fetch information, so end users don't have to rely on a technician. And with access to a conversational #virtual_support_agent, technicians in the field can now perform #servicedesk activities with simple hands-free voice commands. Learn more about Zia and her capabilities in this webinar.

Best Practices for Monitoring Your Azure Environment

Adoption of cloud services and Azure services in particular has exploded in the last few years – over 60% of enterprises now use Azure. As Azure users deploy ever more sophisticated application architectures, it becomes even more important to have a logging and monitoring system that can handle the complexity. The ELK stack is the most popular tool for this, but comes with its own challenges.
yellowfin

Why data not anecdotes matter – election spin versus cold hard reality

So much of our decision making is made based on firmly held beliefs and stories we have absorbed in our lifetimes. Generally referred to as type one thinking – this is fast, emotional and generally unconscious. It is a type of thinking that is very useful for making day to day decisions like what to wear, what to have for lunch or how to get to work. However, this type of thinking is inherently flawed and full of bias.

yellowfin

The Impact of AI on the Data Analyst

The introduction of AI, automation and data storytelling to the world of analytics has not only had an immediate impact on the end users of analytics but also the people that work in the field. While many analysts may fear they will be replaced by automation and AI, CEO of Yellowfin, Glen Rabie, believes that the role of the data analyst will increase in significance to the business and breadth of skills required.

splunk

Using Security Essentials 2.4: Analytics Advisor

In the latest release of Splunk Security Essentials (Version 2.4) (SSE), we added a new set of features centered on choosing the most relevant analytics called the Analytics Advisor. If you would like to learn more about what it does (and you most certainly do!), head over here to go into greater depth about Analytics Advisor. In this post, I will show how you would benefit from using this awesome new feature!

splunk

Move Beyond Legacy IT: The Unwinnable IT Ops Arms Race

At the dawn of the 20th century in South America, regional powers Chile and Argentina enjoyed dominant naval positions, driven by the best and latest technology available. The remaining chief power on the continent found itself far outstripped in capabilities, and in 1905, newly emerging Brazil responded to this naval imbalance by ordering three new battleships from Britain. However, the appearance of the revolutionary new warship HMS Dreadnought in 1906 caused Brazil to quickly scrap these plans.

splunk

BizOps Pros Waste 70% of Time on Basic Analytical Tasks — IDC Report Suggests a Better Way

Mattress marketers love to remind us how much time we spend in bed. It’s a simple value proposition; who wants to spend a third of their lives being uncomfortable? According to research by IDC, CFOs say that up to 70% of time spent with data is devoted to formatting and presenting it in a way that can support decision making. Why are companies okay with spending nearly three-quarters of their time doing busywork?