So, you bought into the current machine learning craze and went on to collect millions/billions of records from this promising new data source. Now, what do you do with them? Too often, the abundance of data quickly turns into an abundance of problems. How do you extract that "magic essence" from your data without falling into the common pitfalls? In her session at @ThingsExpo, Natalia Ponomareva, Software Engineer at Google, will provide tips on how to be successful in large scale machine learning. She will briefly review the frameworks available to train machine learning models on large amounts of data, touch on feature engineering and algorithm selection, and give a few tips to help you avoid the most common mistakes.
I have an article in the recently released “DZone Guide to Building and Deploying Applications on the Cloud” entitled “Fullstack Engineering in the Age of Hybrid Cloud”. In this article I discuss the need and skills of a Fullstack Engineer with relation to troubleshooting and repairing complex, distributed hybrid cloud applications. My recent experiences with troubleshooting issues with my Docker WordPress container only reinforce the details I wrote about in this piece. Without my comprehensive understanding of both the infrastructure and application layer I don’t believe I could have achieved resolution (if I have, but more on that later).
Developing solutions integrated with mobile applications that can anticipate your needs based upon your Code Halo data, the information that surrounds people, organizations, projects, activities and devices, and acting upon it automatically is where a large amount of productivity gains will be found in the future.
You think you know what’s in your data. But do you? Most organizations are now aware of the business intelligence represented by their data. Data science stands to take this to a level you never thought of – literally. The techniques of data science, when used with the capabilities of Big Data technologies, can make connections you had not yet imagined, helping you discover new insights and ask new questions of your data. In his session at @ThingsExpo, Sarbjit Sarkaria, data science team lead at PHEMI, will discuss how data science is changing our ideas of what’s possible with data, using examples and case studies drawn from finance, precision medicine, and genomics.
Incumbent storage vendors such as EMC, Netapp, and Nutanix have built their rich code base on the block layer. This means that the only viable option to use Persistent Memory as a storage tier is to wrap it up with an abstraction layer that will present it as a block device.
The retail industry is transforming in today’s digital age. Consumer behavior keeps evolving and online spending is skyrocketing. In addition, retail customers are looking for a blended online and in-store experience and expecting brick-and-mortar stores and online channels to be integrated through an omni-channel strategy. This requires retailers to become customer obsessed and strive to deliver personalized, convenient and seamless shopping experiences online and in the stores.
The EMV liability shift that began in October 2015 is likely to reduce card present payment card fraud. That’s a double-edged sword for retailers with an online presence and those who accept mobile payments, as fraudsters are seeking easier routes to ill-gotten gain. Add to this the ongoing data breach environment that has become the new normal, and securing payment transactions has never been more significant.
SAP Ariba offers new ways for small businesses to make and manage the connections that matter to them most using cloud-based networks to bring intelligent buying and digital business benefits to any type of company. The next BriefingsDirect technology innovation thought leadership discussion examines new ways for small businesses to make and manage the connections that matter to them most using cloud-based networks to bring intelligent buying and digital business benefits to any type of company.
SYS-CON Events announced today that Peak 10, Inc., a national IT infrastructure and cloud services provider, will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Peak 10 provides reliable, tailored data center and network services, cloud and managed services. Its solutions are designed to scale and adapt to customers’ changing business needs, enabling them to lower costs, improve performance and focus internal resources on core competencies.
You think you know what’s in your data. But do you? Most organizations are now aware of the business intelligence represented by their data. Data science stands to take this to a level you never thought of – literally. The techniques of data science, when used with the capabilities of Big Data technologies, can make connections you had not yet imagined, helping you discover new insights and ask new questions of your data. In his session at @ThingsExpo, Sarbjit Sarkaria, data science team lead at PHEMI, will discuss how data science is changing our ideas of what’s possible with data, using examples and case studies drawn from finance, precision medicine, and genomics.
An old article gets new life. #TBT Back in 2012 I wrote an article titled Bait Phone. It was about cops dropping mobile phones with a tracking device and following the stealing culprit for an arrest. Like Bait Car but with a smartphone. Over the weekend, I noticed that the article was blowing up but couldn’t figure out why: And found that a video with the same name as my blog post was trending: Bait Phone 2 – basically a stun gun with a remote. Over 2.2 million YouTube views in less than a week. It’s a prank video where they have a remote zapper to sting the culprits when they grab & walk away with the phone. One guy – who had it in his pocket – denied taking it until he was personally shocked.
Struggling to keep up with increasing application demand? Learn how Platform as a Service (PaaS) can streamline application development processes and make resource management easy.
SYS-CON Events announced today that Peak 10, Inc., a national IT infrastructure and cloud services provider, will exhibit at SYS-CON's 18th International Cloud Expo®, which will take place on June 7-9, 2016, at the Javits Center in New York City, NY. Peak 10 provides reliable, tailored data center and network services, cloud and managed services. Its solutions are designed to scale and adapt to customers’ changing business needs, enabling them to lower costs, improve performance and focus internal resources on core competencies.
SAP Ariba offers new ways for small businesses to make and manage the connections that matter to them most using cloud-based networks to bring intelligent buying and digital business benefits to any type of company. The next BriefingsDirect technology innovation thought leadership discussion examines new ways for small businesses to make and manage the connections that matter to them most using cloud-based networks to bring intelligent buying and digital business benefits to any type of company.
Up until last year, enterprises that were looking into cloud services usually undertook a long-term pilot with one of the large cloud providers, running test and dev workloads in the cloud. With cloud’s transition to mainstream adoption in 2015, and with enterprises migrating more and more workloads into the cloud and in between public and private environments, the single-provider approach must be revisited. In his session at 18th Cloud Expo, Yoav Mor, multi-cloud solution evangelist at Cloudyn, will examine the risks of sourcing IT resources from a single cloud service vendor, as well as the benefits to be reaped by adopting multi-cloud strategies.
So, you bought into the current machine learning craze and went on to collect millions/billions of records from this promising new data source. Now, what do you do with them? Too often, the abundance of data quickly turns into an abundance of problems. How do you extract that "magic essence" from your data without falling into the common pitfalls? In her session at @ThingsExpo, Natalia Ponomareva, Software Engineer at Google, will provide tips on how to be successful in large scale machine learning. She will briefly review the frameworks available to train machine learning models on large amounts of data, touch on feature engineering and algorithm selection, and give a few tips to help you avoid the most common mistakes.
Digital payments using wearable devices such as smart watches, fitness trackers, and payment wristbands are an increasing area of focus for industry participants, and consumer acceptance from early trials and deployments has encouraged some of the biggest names in technology and banking to continue their push to drive growth in this nascent market. Wearable payment systems may utilize near field communication (NFC), radio frequency identification (RFID), or quick response (QR) codes and barcodes as enabling technologies, and the contactless point of sale (POS) terminals and backend payment processing infrastructure being utilized for mobile payments are being leveraged to extend payment capabilities to wearables, as well.
More is being required today of network infrastructure than ever before, due in part to the changing latency and bandwidth needs of modern applications. Wide area networks (“WANs”) are feeling the pressure, especially those that use many technologies from different services providers, are geographically diverse and are stretched to the limit by increased video and cloud app usage. In view of these challenges, hybrid WAN architectures with advanced application-level traffic routing are of particular interest. They combine the reliability of private lines for critical business applications with the cost-effectiveness of broadband/Internet connectivity for non-critical traffic.
In the world of DevOps there are ‘known good practices’ – aka ‘patterns’ – and ‘known bad practices’ – aka ‘anti-patterns.' Many of these patterns and anti-patterns have been developed from real world experience, especially by the early adopters of DevOps theory; but many are more feasible in theory than in practice, especially for more recent entrants to the DevOps scene. In this power panel at @DevOpsSummit at 18th Cloud Expo, moderated by DevOps Conference Chair Andi Mann, panelists will discuss the patterns and anti-patterns of DevOps, and what it means to ‘do the right thing’ in a DevOps way, but in the real world.
The benefits of efficiency and lower cost have been the primary drivers toward the cloud and SaaS deployments, but this is just the low-hanging fruit of a much greater body of potential. According to a Cisco-sponsored IDC report, a second wave of cloud adoption now targets a much more strategic set of benefits, with 54 percent of businesses surveyed expecting cloud to allow them to allocate IT budgets more strategically, and 53 percent looking to cloud solutions to increase revenues. According to the Cisco study, cloud and SaaS adoption takes place along a spectrum, with ad hoc deployment on one end and a centrally managed cloud platform on the other. On the ad hoc side, early adopters look to SaaS to solve an immediate need. These early adopters are often “power users” or ad hoc staff outside of IT, often managing a specific line of business, such as marketing, sales, or finance, and operating independently and often keeping the apps and potentially beneficial data to themselves.
Incumbent storage vendors such as EMC, Netapp, and Nutanix have built their rich code base on the block layer. This means that the only viable option to use Persistent Memory as a storage tier is to wrap it up with an abstraction layer that will present it as a block device.
SYS-CON Events announced today that Ericsson has been named “Gold Sponsor” of SYS-CON's @ThingsExpo, which will take place on June 7-9, 2016, at the Javits Center in New York, New York. Ericsson is a world leader in the rapidly changing environment of communications technology – providing equipment, software and services to enable transformation through mobility. Some 40 percent of global mobile traffic runs through networks we have supplied. More than 1 billion subscribers around the world rely every day on networks that we manage. With more than 39,000 granted patents, we have one of the industry's strongest intellectual property rights portfolios.
The EMV liability shift that began in October 2015 is likely to reduce card present payment card fraud. That’s a double-edged sword for retailers with an online presence and those who accept mobile payments, as fraudsters are seeking easier routes to ill-gotten gain. Add to this the ongoing data breach environment that has become the new normal, and securing payment transactions has never been more significant.
There is an ever-growing explosion of new devices that are connected to the Internet using “cloud” solutions. This rapid growth is creating a massive new demand for efficient access to data. And it’s not just about connecting to that data anymore. This new demand is bringing new issues and challenges and it is important for companies to scale for the coming growth. And with that scaling comes the need for greater security, gathering and data analysis, storage, connectivity and, of course, the need to find a platform (solution) that is capable of quickly and easily managing all of these complex necessities.
In the world of DevOps there are ‘known good practices’ – aka ‘patterns’ – and ‘known bad practices’ – aka ‘anti-patterns.' Many of these patterns and anti-patterns have been developed from real world experience, especially by the early adopters of DevOps theory; but many are more feasible in theory than in practice, especially for more recent entrants to the DevOps scene. In this power panel at @DevOpsSummit at 18th Cloud Expo, moderated by DevOps Conference Chair Andi Mann, panelists will discuss the patterns and anti-patterns of DevOps, and what it means to ‘do the right thing’ in a DevOps way, but in the real world.