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Behind various Google services lies the powerful Cloud AI, a neural net-based, machine learning technology that Google has perfected for use with services like image search and voice recognition. Here are five ways you could use Cloud AI to improve your business.

A longtime leader in data analytics, Google continues to earn their position by continually improving their data analytics offerings. Now, with Google Cloud Platform (GCP), you can capture, process, store, and analyze your data in one place, allowing you to change your focus from infrastructure to analytics that informs business decisions. However, you can also use GCP Big Data tools in combination with other cloud-native and open-source solutions to meet your needs. Below is an overview of GCP Big Data Tools and how you might utilize them to improve analytics.

Google takes security to a whole new level thanks to their years of experience as one of the most popular targets on the internet for would-be hackers and denial of service bots. This led Google to build a sophisticated security infrastructure the likes of which few companies or organizations can claim. Google approaches security holistically and involves everything from the physical data centers, to the data pipelines between them, down to the training of each employee that is responsible for managing the infrastructure.

Moving capabilities to a cloud provider such as Microsoft Azure is pretty straightforward. However, given the depth and breadth of service offerings provided by Azure, it’s easy to miss the product’s less obvious capabilities. If you're implementing a Microsoft Azure cloud platform, you'll want to consider these five services to save time, money, and your sanity.

Though there are several sources for agile certifications, the Project Management Institute (PMI)® Agile Certified Practitioner (PMI-ACP)® has established itself as the world’s fastest growing agile credential. The PMI-ACP certification formally recognizes your knowledge of agile principles and your skill with agile techniques.

If you’re looking for serious change, why not focus on your IT professional career? How much can you really learn from a five-point “Hack” list that speaks to everyone, yet no one? Not much. Too many articles rattle off a quick hit list. After reading this goal-setting guide you’ll be able to develop a game plan to bring successful change in your professional life.

Data center return on investment – which is measured by time to cost savings, time to revenue, time to break even, etc. – has proven more elusive than expected. But that doesn’t mean it isn’t attainable. To understand the genesis of the bad and ugly parts of data center ROI, we need to recognize the good parts and appreciate why so many companies are putting their faith in new and unfamiliar technologies.

You might already know what cloud computing is, and you might already be implementing it into your business, but are you able to have a conversation about it? The lingo surrounding this newer technology can be a bit, well, cloudy. Here are just some of the terms we keep hearing as cloud computing spreads from organization to organization.

There is a wide-range of services available in GCP ranging from Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) to completely managed Software-as-a-Service (SaaS). In the first part of this series, we will discuss the available infrastructure components and how they provide a powerful and flexible foundation on which to build your applications.

As with all technologies transforming the way organizations operate, it’s expected that roles will also evolve. Cloud computing already has and will continue to change traditional IT roles and functions for years to come. We'll begin our overview of the transformation of cloud job roles with a look at some of the top cloud computing roles and responsibilities for architects, engineers and developers.