Seth Paskin
Machine Learning, Data Science, Artificial Intelligence, Deep Learning, and Statistics
BY Seth PaskinSeth Paskin

Machine learning. Data science. Artificial intelligence. Deep learning. Statistics. Most organizations, companies and individuals today are using these technologies – whether they know it or not. If your work involves computers, you’re likely familiar with at least some of them – but the terms can be confusing, and their use sometimes conflicting. The 21st century is the era of big data. Big data refers to data sets that are so large and complex that previous applications of data processing aren’t adequate. Researchers and companies are harnessing and experimenting with various methods of extracting value from big data. The global connected world offers infinite ways to generate, collect, and store data for analysis. Never before have we had access to this much data, and we are only now … [Read More]

Building an IT Network for a Remote Facility
BY Joe HertvikJoe Hertvik

Let’s assume your organization is expanding. It’s adding a new processing facility or distribution center. As the IT Operations (IT Ops) group, your job is to add this new location to your corporate network, so they can enter, process, and ship orders, as well … [Read More...]

The Modern Family: IT Asset Management and Service Management
BY John FultonJohn Fulton

Do opposites really attract? Service management has evolved from humble beginnings as a “help desk” supporting the operational back office to handle internal IT support tickets. Today it is a modern solution which has shifted service management to the front … [Read More...]

Google Natural Language API and Sentiment Analysis
BY Walker RoweWalker Rowe

Here we discuss Natural Language processing using the Google Natural Language API. Our goal is to do sentiment analysis. Definition Sentiment analysis means seeing whether what someone writes is positive or negative. Business can use this to look at Twitter, … [Read More...]

3 Benefits of Tightly Coupling Service Desk to Endpoint Management
BY Raphael ChauvelRaphael Chauvel

For many professionals, the service desk represents the face of IT. The quality of the service desk experience will go a long way in defining the perception of the whole IT organization—especially for millennials who’ve grown up with technology and become … [Read More...]

The Network Troika – Security Availability and Performance
BY Bronna ShapiroBronna Shapiro

2017 was a banner year when it came to security breaches, but not in a good way. It has been reputed that ransomware netted $2 billion, which is 50% higher than in 2016. Thus, security is top of mind for both businesses as well as consumers - and it applies to … [Read More...]

GDPR – Some data recovery implications (part 3)
BY Phil GraingerPhil Grainger

Why Do I Need to Repeat Recovery Testing for GDPR? As we saw in my last blog on recovery and GDPR, the relevant part of the regulation says a company must have: “…. a process for regularly testing, assessing and evaluating the effectiveness of technical … [Read More...]

Machine Learning and AI Frameworks: What’s the Difference and How to Choose?
BY Walker RoweWalker Rowe

There are many machine learning frameworks. Given that each takes much time to learn, and given that some have a wider user base than others, which one should you use? Here we look briefly at some of the major ones. In picking a tool, you need to ask what … [Read More...]

What is Stream Processing? Event Stream Processing Explained
BY Stephen WattsStephen Watts

As we continue to rely more and more on data that is generated from our phones, tablets, thermostats, and even cars, the need for it to be analyzed while still streaming only increases. One way that Internet of Things data can be evaluated while it is in … [Read More...]

The Follow-Through: How to Ensure Digital Transformation Endures
BY Mark GradwellMark Gradwell

Issue 3 of the “Digital Transformation that Endures” blog series by Mark Gradwell So far, I’ve shared how to start digital transformation with a vision and then turn that vision into a strategy. Many organizations believe that’s enough, but for digital … [Read More...]

10 Troubling Excuses for Using Oozie with Hadoop Workflows
BY Basil FaruquiBasil Faruqui

Now is as good a time as any to think about what you’re going to do differently in 2018 to make it easier to keep up with the demands of big data. A great place to start is to look closely at the tools you’re using for working with Hadoop workflows. Let’s face … [Read More...]