Recently, WebRTC has a lot of eyes from market. The use cases of WebRTC are expanding - video chat, online education, online health care etc. Not only for human-to-human communication, but also IoT use cases such as machine to human use cases can be seen recently. One of the typical use-case is remote camera monitoring. With WebRTC, people can have interoperability and flexibility for deploying monitoring service. However, the benefit of WebRTC for IoT is not only its convenience and interoperability. It has lots of potential to address current issues around IoT - security, connectivity and so on - based on P2P technology. It will become a key-component especially in edge computing use cases, in his view.
Product connectivity goes hand and hand these days with increased use of personal data. New IoT devices are becoming more personalized than ever before. In his session at 22nd Cloud Expo | DXWorld Expo, Nicolas Fierro, CEO of MIMIR Blockchain Solutions, will discuss how in order to protect your data and privacy, IoT applications need to embrace Blockchain technology for a new level of product security never before seen - or needed.
There is a huge demand for responsive, real-time mobile and web experiences, but current architectural patterns do not easily accommodate applications that respond to events in real time. Common solutions using message queues or HTTP long-polling quickly lead to resiliency, scalability and development velocity challenges. In his session at 21st Cloud Expo, Ryland Degnan, a Senior Software Engineer on the Netflix Edge Platform team, will discuss how by leveraging a reactive stream-based protocol, we have been able to solve many of these problems at the communication layer. This makes it possible to create rich application experiences and support use-cases such as mobile-to-mobile communication and large file transfers that would be difficult or cost-prohibitive with traditional networking.
"Evatronix provides design services to companies that need to integrate the IoT technology in their products but they don't necessarily have the expertise, knowledge and design team to do so," explained Adam Morawiec, VP of Business Development at Evatronix, in this SYS-CON.tv interview at @ThingsExpo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
There is a huge demand for responsive, real-time mobile and web experiences, but current architectural patterns do not easily accommodate applications that respond to events in real time. Common solutions using message queues or HTTP long-polling quickly lead to resiliency, scalability and development velocity challenges. In his session at 21st Cloud Expo, Ryland Degnan, a Senior Software Engineer on the Netflix Edge Platform team, will discuss how by leveraging a reactive stream-based protocol, we have been able to solve many of these problems at the communication layer. This makes it possible to create rich application experiences and support use-cases such as mobile-to-mobile communication and large file transfers that would be difficult or cost-prohibitive with traditional networking.
The past few years have seen a huge increase in the amount of critical IT services that companies outsource to SaaS/IaaS/PaaS providers, be it security, storage, monitoring, or operations. Of course, along with any outsourcing to a service provider comes a Service Level Agreement (SLA) to ensure that the vendor is held financially responsible for any lapses in their service which affect the customer’s end users, and ultimately, their bottom line. SLAs can be very tricky to manage for a number of different reasons: discrepancies over the time period being addressed, the source of the performance metrics, and the accuracy of the data can lead to legal disputes between vendor and customer. However, there are several things that both sides can do to get accurate and verifiable performance data as it pertains to their SLAs.
You know you need the cloud, but you're hesitant to simply dump everything at Amazon since you know that not all workloads are suitable for cloud. You know that you want the kind of ease of use and scalability that you get with public cloud, but your applications are architected in a way that makes the public cloud a non-starter. You're looking at private cloud solutions based on hyperconverged infrastructure, but you're concerned with the limits inherent in those technologies. What do you do?
The past few years have seen a huge increase in the amount of critical IT services that companies outsource to SaaS/IaaS/PaaS providers, be it security, storage, monitoring, or operations. Of course, along with any outsourcing to a service provider comes a Service Level Agreement (SLA) to ensure that the vendor is held financially responsible for any lapses in their service which affect the customer’s end users, and ultimately, their bottom line. SLAs can be very tricky to manage for a number of different reasons: discrepancies over the time period being addressed, the source of the performance metrics, and the accuracy of the data can lead to legal disputes between vendor and customer. However, there are several things that both sides can do to get accurate and verifiable performance data as it pertains to their SLAs.
"Evatronix provides design services to companies that need to integrate the IoT technology in their products but they don't necessarily have the expertise, knowledge and design team to do so," explained Adam Morawiec, VP of Business Development at Evatronix, in this SYS-CON.tv interview at @ThingsExpo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
For what feels like a lifetime, industry analysts and experts have predicted ‘this' will be the year the Internet of Things (IoT) finally takes off, both within industry and for consumers. But, as if by clockwork, each year of ‘guaranteed' IoT explosion has passed - the mass adoption and exploitation of the Internet of Things having failed to materialize. The IoT vision is almost utopian in its promise: a connected intelligent home or office, offering a simpler more convenient future. Our houses will be populated by smart ‘things'; thermostats that know precisely how warm we like our rooms, speakers that understand our taste in music and refrigerators that realize when we're running low on the essentials and act to replenish themselves. Our cities too will become more intelligent; our highways will be populated by sensors, bringing congestion to an end; our streets safeguarded by interconnected surveillance. This will all be made possible via the communication of a global set of devices.
For what feels like a lifetime, industry analysts and experts have predicted ‘this' will be the year the Internet of Things (IoT) finally takes off, both within industry and for consumers. But, as if by clockwork, each year of ‘guaranteed' IoT explosion has passed - the mass adoption and exploitation of the Internet of Things having failed to materialize. The IoT vision is almost utopian in its promise: a connected intelligent home or office, offering a simpler more convenient future. Our houses will be populated by smart ‘things'; thermostats that know precisely how warm we like our rooms, speakers that understand our taste in music and refrigerators that realize when we're running low on the essentials and act to replenish themselves. Our cities too will become more intelligent; our highways will be populated by sensors, bringing congestion to an end; our streets safeguarded by interconnected surveillance. This will all be made possible via the communication of a global set of devices.
While Artificial Intelligence (AI) may not be a new concept, its contribution to automation may just change the face of business. AI's conception dates as far back as 1950, when Alan Turing proposed the Turing test in order to evaluate a machine's ability to exhibit intelligent behavior. Fast-forward a couple of decades and research led to the creation of well-known theoretical tools such as Fuzzy Logic, Bayesian Networks, Markov Models and Neural Networks. Concurrently, new types of programming languages such as Prolog, LISP and Smalltalk set the scene for most of the modern interpreted languages used today.
Mobile device usage has increased exponentially during the past several years, as consumers rely on handhelds for everything from news and weather to banking and purchases. What can we expect in the next few years? The way in which we interact with our devices will fundamentally change, as businesses leverage Artificial Intelligence. We already see this taking shape as businesses leverage AI for cost savings and customer responsiveness. This trend will continue, as AI is used for more sophisticated patterns, and chatbots replace the traditional mobile apps. In his session at 21st Cloud Expo, Michael Meiner, an Engineering Director at Oracle, looked at this evolution of mobile computing, along with the underlying enterprise technologies that enable this shift. Demos using Amazon Alexa and Oracle Mobile Suite were shown.
It took Magellan's crew three years sailing ships to circumnavigate the earth. Today, at hypersonic speeds of 7,680 MPH, it takes just over three hours to circumnavigate the earth. Data on the Internet, however, travels at 670 million MPH, which means it only takes milliseconds to circumnavigate the earth. In this age of digital businesses and digital interactions, companies must digitally transform to work effectively in a world where mass information moves at these unimaginable speeds.
While Artificial Intelligence (AI) may not be a new concept, its contribution to automation may just change the face of business. AI's conception dates as far back as 1950, when Alan Turing proposed the Turing test in order to evaluate a machine's ability to exhibit intelligent behavior. Fast-forward a couple of decades and research led to the creation of well-known theoretical tools such as Fuzzy Logic, Bayesian Networks, Markov Models and Neural Networks. Concurrently, new types of programming languages such as Prolog, LISP and Smalltalk set the scene for most of the modern interpreted languages used today.
With tough new regulations coming to Europe on data privacy in May 2018, Calligo will explain why in reality the effect is global and transforms how you consider critical data. EU GDPR fundamentally rewrites the rules for cloud, Big Data and IoT. In his session at 21st Cloud Expo, Adam Ryan, Vice President and General Manager EMEA at Calligo, examined the regulations and provided insight on how it affects technology, challenges the established rules and will usher in new levels of diligence around personal data.
The past few years have brought a sea change in the way applications are architected, developed, and consumed—increasing both the complexity of testing and the business impact of software failures. How can software testing professionals keep pace with modern application delivery, given the trends that impact both architectures (cloud, microservices, and APIs) and processes (DevOps, agile, and continuous delivery)? This is where continuous testing comes in. D
In the 67 years since Alan Turing proposed his Imitation Game – the infamous ‘Turing test’ for artificial intelligence (AI) – people have been confused over the very purpose of AI itself. At issue: whether the point of AI is to simulate human behavior so seamlessly that it can fool people into thinking they are actually interacting with a human being, rather than a piece of software. Such deception was never the point of Turing’s exercise, however. Rather, he realized that there was no way to define true intelligence, and thus no way to test for it. So he came up with the game as a substitute – something people could theoretically test for. Regardless of Turing’s intentions, setting the bar for AI based on its ability to snooker an audience has become fully ingrained in our culture, thanks in large part to Hollywood.
Our work, both with clients and with tools, has lead us to wonder how it is that organizations are handling compliance issues in the cloud. The big cloud vendors offer compliance for their infrastructure, but the shared responsibility model requires that you take certain steps to meet compliance requirements. Which lead us to start poking around a little more. We wanted to get a picture of what was available, and how it was being used. There is a lot of fluidity in this space, as in all things cloud. The fact that DevOps Security plays into the cloud compliance model – particularly in dynamic cloud environments – makes it even more fluid.
In the 67 years since Alan Turing proposed his Imitation Game – the infamous ‘Turing test’ for artificial intelligence (AI) – people have been confused over the very purpose of AI itself. At issue: whether the point of AI is to simulate human behavior so seamlessly that it can fool people into thinking they are actually interacting with a human being, rather than a piece of software. Such deception was never the point of Turing’s exercise, however. Rather, he realized that there was no way to define true intelligence, and thus no way to test for it. So he came up with the game as a substitute – something people could theoretically test for. Regardless of Turing’s intentions, setting the bar for AI based on its ability to snooker an audience has become fully ingrained in our culture, thanks in large part to Hollywood.
In his general session at 21st Cloud Expo, Greg Dumas, Calligo’s Vice President and G.M. of US operations, discussed the new Global Data Protection Regulation and how Calligo can help business stay compliant in digitally globalized world. Greg Dumas is Calligo's Vice President and G.M. of US operations. Calligo is an established service provider that provides an innovative platform for trusted cloud solutions. Calligo’s customers are typically most concerned about GDPR compliance, application performance guarantees & data privacy.
The past few years have brought a sea change in the way applications are architected, developed, and consumed—increasing both the complexity of testing and the business impact of software failures. How can software testing professionals keep pace with modern application delivery, given the trends that impact both architectures (cloud, microservices, and APIs) and processes (DevOps, agile, and continuous delivery)? This is where continuous testing comes in. D
DXWordEXPO New York 2018, colocated with CloudEXPO New York 2018 will be held November 11-13, 2018, in New York City and will bring together Cloud Computing, FinTech and Blockchain, Digital Transformation, Big Data, Internet of Things, DevOps, AI, Machine Learning and WebRTC to one location.
With tough new regulations coming to Europe on data privacy in May 2018, Calligo will explain why in reality the effect is global and transforms how you consider critical data. EU GDPR fundamentally rewrites the rules for cloud, Big Data and IoT. In his session at 21st Cloud Expo, Adam Ryan, Vice President and General Manager EMEA at Calligo, examined the regulations and provided insight on how it affects technology, challenges the established rules and will usher in new levels of diligence around personal data.
Mobile device usage has increased exponentially during the past several years, as consumers rely on handhelds for everything from news and weather to banking and purchases. What can we expect in the next few years? The way in which we interact with our devices will fundamentally change, as businesses leverage Artificial Intelligence. We already see this taking shape as businesses leverage AI for cost savings and customer responsiveness. This trend will continue, as AI is used for more sophisticated patterns, and chatbots replace the traditional mobile apps. In his session at 21st Cloud Expo, Michael Meiner, an Engineering Director at Oracle, looked at this evolution of mobile computing, along with the underlying enterprise technologies that enable this shift. Demos using Amazon Alexa and Oracle Mobile Suite were shown.