We have been seeing a sudden rise in the deployment of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). It looks like the long “AI winter” is finally over. It is interesting to note that AI was mentioned by Alan Turing in a paper he wrote back in 1950 to suggest that there is possibility to build machines with true intelligence. Then in 1956, John McCarthy organized a conference at Dartmounth and coined the phrase Artificial Intelligence. Much of the next three decades did not see much activity and hence the phrase “AI Winter” was coined. Around 1997, IBM’s Deep Blue won the chess match against Kasparov. During the last few years, we saw deployments such as Apple’s Siri, Microsoft’s Cortana, and IBM’s Watson (beating Jeopardy game show champions in 2011). In 2014, DeepMind team used a deep learning algorithm to create a program to win Atari games.

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For a long time, Bill Gates and in fact the entire leadership team at Microsoft were vehemently against the open source community. Steve Ballmer had once called Linux “a malignant cancer” in reference to Linux allegedly violating nearly 235 patents that Microsoft owned. Even post-retirement, Bill Gates had once picked on open source claiming that this model creates a license that prevents anybody from improving the software. “I think if you invent drugs, you should be able to charge for them”, he had said.

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Rapid innovation, changing business landscapes, and new IT demands force businesses to make changes quickly. In the eyes of many, containers are at the brink of becoming a pervasive technology in enterprise IT to accelerate application delivery. In this presentation, attendees learned about the:
The transformation of IT to a DevOps, microservices, and container-based architecture
What are containers and how DevOps practices can operate in a container-based environment
A demonstration of how Docker and Kubernetes reduce software delivery cycle times, drive automation, and increase efficiency
How other organizations are using DevOps + containers and how to replicate their success

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«Venafi has a platform that allows you to manage, centralize and automate the complete life cycle of keys and certificates within the organization,» explained Gina Osmond, Sr. Field Marketing Manager at Venafi, in this SYS-CON.tv interview at DevOps at 19th Cloud Expo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.

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Without lifecycle traceability and visibility across the tool chain, stakeholders from Planning-to-Ops have limited insight and answers to who, what, when, why and how across the DevOps lifecycle. This impacts the ability to deliver high quality software at the needed velocity to drive positive business outcomes.
In his general session at @DevOpsSummit at 19th Cloud Expo, Phil Hombledal, Solution Architect at CollabNet, discussed how customers are able to achieve a level of transparency that enables everyone from Planning-to-Ops to make informed decisions based on business priority and leverage automation to accelerate identifying issues and fast fix to drive continuous feedback and KPI insight.

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«We build IoT infrastructure products – when you have to integrate different devices, different systems and cloud you have to build an application to do that but we eliminate the need to build an application. Our products can integrate any device, any system, any cloud regardless of protocol,» explained Peter Jung, Chief Product Officer at Pulzze Systems, in this SYS-CON.tv interview at @ThingsExpo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.

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«We are an all-flash array storage provider but our focus has been on VM-aware storage specifically for virtualized applications,» stated Dhiraj Sehgal of Tintri 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.

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The developments in Google’s Cloud Computing segment, especially the Cloud Machine Learning service, have been so rapid that Google calls it one of its fastest growing product areas. Google has been ramping up their Cloud Platform quite aggressively in recent months. Just a few weeks ago, the Google Cloud Platform opened its newest zone in Tokyo, increasing the total number of regions they are present in to six – three in the US and one each in Belgium and Taiwan and Tokyo.

Not long ago, the company announced its acquisition of Orbitera, a cloud commerce company. for more than a hundred million dollars. The developments in Google’s Cloud Computing segment, especially the Cloud Machine Learning service, have been so rapid that Google calls it one of its fastest growing product areas.

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In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential.
Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at Dice, he takes a metrics-driven approach to management. His experience in building and managing high performance teams was built throughout his experience at Oracle, Sun Microsystems and SocialEkwity.

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This is a guest post from Cloudinary, a cloud-based image and video management solution. We are always looking for ways to help companies deliver digital experiences that will meet customers expectations in terms of content and performance. Tackling these 5 challenges is a good step towards delivering a top-notch digital experience.

We are in the midst of a great evolution when it comes to website design. Formerly text-heavy sites now rely on eye-catching images and video to draw in visitors, improve engagement rates and drive readership. These results are proven. Articles with relevant images get 94 percent more total views, according to digital marketing expert Jeff Bullas. And images are vital to websites influencing page views and user engagement for news articles, press material, local search, eCommerce, and social media.

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