The big move is Amazon’s beating Exxon Mobile (used to be number 1 for many years) to the fourth spot. The switch came after Amazon posted its fifth straight quarter of profits last week as the oil giant’s profits tumbled 59 percent during the same rough period. If Exxon continues its drop, then Facebook will beat it in days.
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CTPs Improve Outcomes by Giving Users a Say | @CloudExpo #API #Cloud #Virtualization
The Citrix Technology Professionals Program, or CTP, gives participants a larger say in essential strategy initiatives such as enabling mobile work styles.
As an example, we will explore how the Citrix Technology Professionals Program, or CTPs as they are referred to, gives participants a larger say in essential strategy initiatives such as enabling mobile work styles.
Microsoft Is Making Big Impact with Machine Learning | @CloudExpo #IoT #Cloud #MachineLearning
During the last two years, Microsoft has upped the ante on Machine Learning and Analytics. From hiring top notch data scientists to acquiring niche startups, Redmond has made the all the right moves to transform Azure into one of the best analytics platforms. These investments have started to pay off for the company. It has been successful in articulating and demonstrating the value of data-driven insights to governments, medical institutions, and public sector organizations.
FalconStor’s SDS | @CloudExpo @FalconStor #DataCenter #SDS #SDN
Let’s face it, embracing new storage technologies, capabilities and upgrading to new hardware often adds complexity and increases costs. In his session at 18th Cloud Expo, Seth Oxenhorn, Vice President of Business Development & Alliances at FalconStor, discussed how a truly heterogeneous software-defined storage approach can add value to legacy platforms and heterogeneous environments. The result reduces complexity, significantly lowers cost, and provides IT organizations with improved efficiencies, all while delivering real freedom and flexibility. Come learn how to #BeFree.
Azure Is King of the Hill | @CloudExpo @Azure #BigData #IoT #DataCenter
Microsoft took another step toward being king of the cloud hill when it announced in January that it was releasing its Azure stack to the public. There are many technical reasons why this is cool, but more importantly, it’s the psychological advantage this gives Microsoft.
Google has always had the ability for developers using its stack to develop locally on the same tools that run in Google App Engine. It recently forked its environments, so now the local and cloud environments are slightly different for some of the configurations — I can’t tell you how many nights I have lost sleep because of environments being slightly different! Development and hosting are two completely different things. What Microsoft did is one-upped Google and Amazon.
Data Breach Handling | @DevOpsSummit #DataCenter #DevOps #InfoSec
A data breach could happen to anyone. Data managed by your company is valuable to someone, no matter what the data is. Everything has a price tag on the dark web. It is especially true when it is customer data, such as personal and payment card details.
When your customers’ data turns up somewhere unexpected on the Internet, you may feel the world is collapsing around you. People start tweeting about the hack, angry customers phone in, and Brian Krebs publishes his first article. Your organization switches to an emergency mode to handle the situation. It is the time when your incident response team takes control to put the genie back in the bottle.
[video] #DigitalTransformation with @Interoute | @CloudExpo #BigData #IoT
«My role is working with customers, helping them go through this digital transformation. I spend a lot of time talking to banks, big industries, manufacturers working through how they are integrating and transforming their IT platforms and moving them forward,» explained William Morrish, General Manager Product Sales at Interoute, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Machine Learning – New Weapon in the Hacking Wars? | @CloudExpo #API #Cloud #BigData #MachineLearning
It feels like the barbarians are continually at the gate. We can’t seem to go more than a week before a new data breach is in the news, impacting potentially millions of individuals. The targets range from companies like Omni Hotels, which had been breached affecting up to 50,000 customers whose personal and credit card information was exposed, to North Carolina State University, where over 38,000 students’ personal information, including their SSNs, were at risk. As I mentioned in a recent blog ‘Internet of Things and Big Data – who owns your data?’, we have been storing our personal and credit card information in a variety of systems, credit card companies, banks, online retailers, hotels – and that’s just naming a few. The information in those systems is more valuable than gold to the hackers. The hacker attacks are constant, creative, and changing frequently.
Network Performance Monitoring | @CloudExpo #DataCenter #SDN #DevOps
In an era of unified IT, you can no longer afford to take a silo-based approach to monitoring and troubleshooting IT problems. It’s time for network engineers, server admins and application engineers to expand beyond their particular domains anddepartment-specific tools. It’s time to embrace a new, integrated approach to network and application monitoring that lets you view your entire IT infrastructure from a single console and resolve issues before they affect end users. It’s time for applications-aware network performance monitoring (AANPM).
AI and Analytics | @BigDataExpo #ML #IoT #BigData #DigitalTransformation
After many years of research, misfires and frightening Hollywood plotlines, artificial intelligence (AI) is finally coming into its own and beginning to demonstrate significant business value. The combined forces of big data, human expertise and AI are being used across industries as diverse as healthcare and manufacturing, as well as within all aspects of business. IT operations is one area that AI is beginning to contribute to enormously.
IT infrastructures are changing rapidly today, particularly hybrid cloud environments.
While they are increasingly dynamic and agile, they are also extraordinarily complex. Humans are no longer able to sift through the variety, volume and velocity of Big Data streaming out of IT infrastructures in real time, making AI – especially machine learning – a powerful and necessary tool for automating analysis and decision making. By helping teams bridge the gap between Big Data and humans, and by capturing human domain knowledge, machine learning is able to provide the necessary operational intelligence to significantly relieve this burden of near real-time, informed decision-making. Industry analysts agree. In fact, Gartner named machine learning among the top 10 strategic technologies for 2016, noting “The explosion of data sources and complexity of information makes manual classification and analysis infeasible and uneconomical.”