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These technology job roles are proven to be essential during a crisis as enterprises scramble to change strategies and meet goals. The skills demonstrated by IT professionals in these 10 positions can make the difference between business success and failure, especially during a recession.
IT Professionalism Europe (ITPE) and Global Knowledge jointly hosted online public “Tech Talk” on Ethics and Artificial Intelligence. Two leading speakers in the field, Dr. Anna Jobin of the Health Ethics & Policy Lab at ETH Zurich and Dr. Lorien Pratt, Chief Scientist and co-founder of Quantellia in Silicon Valley will be sharing their insights. The discussion includes ethical dimensions to artificial intelligence (AI) and why ethics are fundamental to AI research and implementation. They also explore ethical requirements, standards, and best practices that underpin the future of AI.
This webinar will discuss our Python offerings and how it is proving to be the language of Data Science, Artificial Intelligence and Deep Learning. View the slide deck>
With skills gaps plaguing the industry, these 10 skills are must-haves for all IT departments. It’s no coincidence that these skills make up a large percentage of the IT skills gap across the industry. Decision-makers are struggling to fill these job roles. The positions also pay well because of a lack of qualified professionals. If you’re looking to make an IT skills investment or start a new career path this year, these are the areas to consider.
Google Cloud Platform (GCP) is Google’s public cloud offering comparable to Amazon Web Services and Microsoft Azure. The difference is that GCP is built upon Google's massive, cutting-edge infrastructure that handles the traffic and workload of all Google users. 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). We will discuss the available infrastructure components and how they provide a powerful and flexible foundation on which to build your applications.
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.
Every second of every day, data is being sent and received. Billions of data packets are processed by your company’s network every day. In fact, you received dozens of packets just to read this article, but the vast majority of us have no idea how this works. People have no clue as to what goes on behind the scenes to ensure data actually gets to the right device.
In 2013, Cisco released their Software Defined Networking (SDN) solution for the data center known as Cisco Application Centric Infrastructure (ACI). For many years, the networking industry has been asking for an approach to configuring networking devices more efficiently than having to individually configure each and every router and switch.
This paper is a high level, moderately technical understanding of Hyper-Converged Infrastructures. IT managers, data center architects, and administrators alike may find this information helpful in their pursuit to simplify the data center and improve application performance.
Whether you’re a beginner or intermediate Python developer, you’ll want to keep this guide close to your keyboard and Python editors. In it, you’ll find sample use cases for many of the most common language constructs and tasks that you’ll likely need to perform, such as reading a file or working with a database.