According to the IBM Institute for Business Value the market will see a rapid adoption of initial cognitive systems. The most likely candidates have moved beyond descriptive and diagnostic, predictive and routine industry-specific capabilities. 70 percent of survey respondents are currently using advanced programmatic analytics in three or more departments. In fact, the widespread adoption of cognitive systems and artificial intelligence (AI) across various industries is expected to drive worldwide revenues from nearly US$8.0 billion in 2016 to more than US$47 billion in 2020.
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[video] @RackNgo’s #DevOps and Hybrid Cloud | @CloudExpo #CD #ML #SDN
“RackN is a software company and we take how a hybrid infrastructure scenario, which consists of clouds, virtualization, traditional data center technologies – how to make them all work together seamlessly from an operational perspective,” stated Dan Choquette, Founder of RackN, in this SYS-CON.tv interview at @DevOpsSummit at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
[slides] Uberizing Smart Cities | @ThingsExpo @CityzenData #IoT #IIoT #M2M
Smart Cities are here to stay, but for their promise to be delivered, the data they produce must not be put in new siloes.
In his session at @ThingsExpo, Mathias Herberts, Co-founder and CTO of Cityzen Data, discussed the best practices that will ensure a successful smart city journey.
How the Cloud Is Transforming the PoS Industry | @CloudExpo #API #Cloud #BigData
A number of retailers, especially small businesses, are moving away from these expensive systems to cheaper, yet a lot more sophisticated cloud alternatives. A typical cloud PoS system should cost retailers between $50 to $200 a month.
Point of Sale (Pos) systems typically haven’t required an internet connection. These devices come with a cash register, a barcode scanner and a card reading machine that connects to the bank via a fixed line connection. In addition to this, the higher end PoS systems come with inventory tracking and management tools as well. All of this does not come cheap and the hardware for these devices can cost anywhere between $2000 to $4000. This is not including the monthly support fee of between $25 to $100 that PoS providers charge businesses.
[slides] @Citrix’ #IoT and #DigitalTransformation | @ThingsExpo #BigData #ML
Businesses are struggling to manage the information flow and interactions between all of these new devices and things jumping on their network, and the apps and IT systems they control. The data businesses gather is only helpful if they can do something with it. In his session at @ThingsExpo, Chris Witeck, Principal Technology Strategist at Citrix, discussed how different the impact of IoT will be for large businesses, expanding how IoT will allow large organizations to make their legacy applications and systems more useful by leveraging an increasingly disparate ecosystem of technologies, users and devices to create actionable business intelligence.
[video] Smart Video with @Roundeeio | @ThingsExpo #RTC #UCaaS #WebRTC
«LinearHub provides smart video conferencing, which is the Roundee service, and we archive all the video conferences and we also provide the transcript,» stated Sunghyuk Kim, CEO of LinearHub, in this SYS-CON.tv interview at @ThingsExpo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
[slides] @Symantec’s #MachineLearning & Security | @CloudExpo #AI #ML #DL
Most of us already know that adopting new cloud applications can boost a business’s productivity by enabling organizations to be more agile and ready to change course in our fast-moving and connected digital world. But the rapid adoption of cloud apps and services also brings with it profound security threats, including visibility and control challenges that aren’t present in traditional on-premises environments. At the same time, the cloud – because of its interconnected, flexible and adaptable nature – can also provide new possibilities for addressing cloud security problems. By leveraging the power of the cloud with a data science and machine learning cloud-based solution, security and risk professionals can solve many of the traditional security challenges found in popular apps like Office 365, Google Drive, Salesforce and Box.
[slides] Introduction to #VPaaS | @ThingsExpo #IoT #RTC #UCaaS #WebRTC
Video experiences should be unique and exciting! But that doesn’t mean you need to patch all the pieces yourself.
Users demand rich and engaging experiences and new ways to connect with you. But creating robust video applications at scale can be complicated, time-consuming and expensive. In his session at @ThingsExpo, Zohar Babin, Vice President of Platform, Ecosystem and Community at Kaltura, discussed how VPaaS enables you to move fast, creating scalable video experiences that reach your audience anywhere, in an enterprise grade secured environment, low-level video ingestion, processing, management, distribution, and playback. And experience microservices, the Big Data analytics to answer all your end-user consumption and behavior questions.
[video] MathFreeOn with @CISLuser | @CloudExpo #SaaS #IoT #AI #ML #DL
«MathFreeOn.com is a line coding platform for engineers and scientists. When they want to solve an engineering problem and they have to use software – they have to pay a lot of money for licenses – but with MathFreeOn you don’t have to pay a lot of money. Just go to our site and write the code and you can check the result right away,» explained Simon Lee, CMO of MathFreeOn, in this SYS-CON.tv interview at 19th Cloud Expo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
[slides] #IoT and Immobile Data | @ThingsExpo @CalSci #DigitalTransformation
Providing secure, mobile access to sensitive data sets is a critical element in realizing the full potential of cloud computing. However, large data caches remain inaccessible to edge devices for reasons of security, size, format or limited viewing capabilities. Medical imaging, computer aided design and seismic interpretation are just a few examples of industries facing this challenge. Rather than fighting for incremental gains by pulling these datasets to edge devices, we need to embrace the immobile, heavy nature of this data by providing new opportunities for high-performance access and real-time collaboration.