Source: analyticsinsight.net Methodologies of data science, in some way, come from machine learning, and both are often associated with mathematics, statistics, algorithms and data wrangling. Data scientists make data models that need to run in production environments. And most DevOps practices are germane to production-oriented data science applications, but these practices are typically unheeded in Read More
Tag: DevOps
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Source:- One of the most intriguing areas of artificial intelligence today is the concept of deep reinforcement learning, where machines can teach themselves based upon the results of their own actions. It is one of the areas of artificial intelligence that shows great promise, so let’s look at what it is and explore some real-world Read More
Source:-venturebeat.com KYLE WIGGERS@KYLE_L_WIGGERS JUNE 25, 2019 6:59 AM Above: A graph illustrating Amazon’s multilabel classification approach. Image Credit: Amazon MOST READ Machine learning helps Microsoft’s AI realistically colorize video from a single image Microsoft announces OneDrive Personal Vault for sensitive files VB Event Transform 2019: Hear from the movers and shakers in AI Lightyear One is Read More
Source:- therobotreport.com Argo AI, a Pittsburgh-based autonomous vehicle company, has donated $15 million to Carnegie Mellon University (CMU) to fund a new research center. The Carnegie Mellon University Argo AI Center for Autonomous Vehicle Research will “pursue advanced research projects to help overcome hurdles to enabling self-driving vehicles to operate in a wide variety of real-world Read More
Source:-cosmosmagazine.com Deep learning shows its worth in the word of quantum computing. Gabriella Bernardi reports. talian researchers have shown that it is possible to teleport a quantum bit (or qubit) in what might be called a real-world situation. And they did it by letting artificial intelligence do much of the thinking. The phenomenon of qubit transfer Read More
Source:- mit.edu The MIT Machine Intelligence Community began with a few friends meeting over pizza to discuss landmark papers in machine learning. Three years later, the undergraduate club boasts 500 members, an active Slack channel, and an impressive lineup of student-led reading groups and workshops meant to demystify machine learning and artificial intelligence (AI) generally. This year, Read More
Source:- globenewswire.co CAMBRIDGE, Mass., June 25, 2019 (GLOBE NEWSWIRE) — NSR’s Big Data Analytics via Satellite, 3rd Edition (BDvS3) report, published today, finds continued growth for downstream Big Data applications through the next decade, driven by applications built on Earth Observation and M2M/IoT satcom data across multiple market verticals. Big Data analytics via satellite will generate close to $17.7 billion Read More
Source:- forbes.com According to IDC’s Data Age 2025 research, the amount of data across the globe that’s open to analysis is set to grow by a factor of 50 within just six years. As such, in 2025, the world is set to be creating 163 zetabytes (163 trillion gigabytes) of data a year. That data comes from Read More
Source:- .techrepublic.com Microsoft’s growing range of AI-powered chat tools are bringing Cortana to your business. Machine learning is a powerful tool, but it’s not always easy to implement or build into your business. One option is to use it to power conversational self-service tools, for e-commerce or for support. Users use familiar channels to converse with Read More
Source:-forbes.com One can’t read any news today without a barrage of articles about data science and machine learning and artificial intelligence. Just recently, Jeff Bezos opened up his private MARS (Machine Learning, Automation, Robotics, and Space) conference to the public There is a conspiracy theory stating that the Facebook 10 year challenge is just a Read More
Source:- fortune.com An organization that won the Nobel Prize in 2017 for its work to eliminate nuclear weapons is sounding the alarm about the possibility of artificial intelligence leading to unintended wars. Beatrice Fihn, executive director of the International Campaign to Abolish Nuclear Weapons, is worried that hackers could breach A.I. technologies that are used in nuclear Read More
Source|:- boingboing.net In The Next Generation of Deep Learning Hardware: Analog Computing*Sci-Hub mirror), a trio of IBM researchers discuss how new materials could allow them to build analog computers that vastly improved the energy/computing efficiency in training machine-learning networks. Training models is incredibly energy-intensive, with a single model imposing the same carbon footprint as the manufacture and lifetime Read More
Source:- insidebigdata.com In this special guest feature, Yuval Greenfield from MissingLink.ai, discusses the rise of “DeepOps” aka AIOps and how it is where DevOps was in the 1990s—a nascent field that is becoming increasingly necessary. It starts with simple, but key facets like addressing some of the biggest pain points in the deep learning development lifecycle, such Read More
Source:-fudzilla.com SoftwareONE has written a cheque for a controlling stake in InterGrupo, one of Latin America’s cloud technology consulting and application modernisation providers. The move enables SoftwareONE to strengthen its service offerings in the region and to add Application Modernisation and Development, a strategic priority, to its global portfolio of Solutions and Services. InterGrupo will Read More
Source- computerweekly.com The history of computing is punctuated by a set of seismic shifts in enterprise IT architectures. Monolithic, highly integrated applications moved to integrated software stacks and N-tier architectures. Distributed computing has also gone through several incarnations. There have been multiple attempts at standardising inter-application communications, such as remote procedure calls on Unix, distributed object Read More
Source – cio.com Charles Darwin was rumored to have said something to the effect of “It’s not the strongest or smartest that survives. Rather it’s the species that’s the most adaptable to change.” This axiom has never been truer in the business world than it is today. Adapting to market trends has always been the difference Read More
Source – devops.com OverOps has launched a namesake platform employing machine learning algorithms to capture data from an IT environment that identify potential issues before a DevOps team decides to promote an application into production. Company CTO Tal Weiss said the OverOps Platform is unique in that, rather than relying on log data, it combines static and dynamic Read More
Source – devops.com When asked if AI would eventually replace radiologists, Dr. Curtis Langoltz of Stanford University pithily replied “No, but radiologists who use AI will replace those who do not use it.” This great insight is highly applicable to IT. Yes, there are many ways we can use AI methods to fully automate a broad Read More
Source – devops.com There’s been a lot of media attention in recent years about how artificial intelligence (AI) and machine learning (ML) are going to change the world—how they’re going to create new and interesting applications in fields as diverse as education, law, health care and transportation. This may happen. But if I had to bet on Read More
Source – jaxenter.com DevOps methodologies are rapidly increasing and generating vast and diverse data sets across the life cycle of entire application including development, deployment, and performance management. Only a robust analysis and monitoring layer can particularly harness this data for the ultimate DevOps goal that is end-to-end automation. The rise of machine learning and its Read More
Source – vanillaplus.com Telecoms operators, by tradition, are not seen as fast-moving businesses. They are always striving to be agile, but their reliance on legacy systems – coupled with their dysfunctional, locked-in relationships with legacy vendors – has created a slow-moving animal, often at odds with the pace of the Internet generation. Indeed, when operators talk Read More
Source – yourstory.com More than 75 percent of organisations are into Big Data processing and putting those insights into business use. But, data scientists might be in short supply. Big Data is big. Huge, in fact. It is the hottest segment in information technology and according to IDC, Big Data revenues are estimated to cross $187 billion Read More
Source – rcrwireless.com Global container market to hit $706.2 million by 2022 The global container monitoring market is expected to swell from $169.6 million in 2017 to $706.2 million by 2022, at a compound annual growth rate (CAGR) of 33%, according to a report published by ResearchandMarkets. Containers are a lightweight form of virtualization that has Read More
Source – jaxenter.com The AI industry is never going to run out of the need for tech-savvy developers who can think out of the box. This technology is here to help us create better software which is safer than software created under traditional environments. In this article, Alycia Gordan explains why AI will teach developers a Read More
Source – ca.com Debunking misconceptions about microservice architecture helps us understand the business value of microservices. Much has been said recently about how digital “unicorns” owe much of their ability to deliver, iterate, pivot and scale to microservice architectures built using containers and APIs. This, in turn, has led to some backlash, with sceptics questioning the Read More
Source – techtarget.com What can go wrong when a business is migrating to microservices? Plenty. Microservices implementations often derail due to poor planning and lack of self-evaluation, said digital transformation expert Eric Roch. And that preparation is just stage one. Implementing microservices calls for new methods of rewarding DevOps and business teams and handling technical areas, like change Read More
Source – opensource.com Microservices have been a focus across the open source world for several years now. Although open source technologies such as Docker, Kubernetes, Prometheus, and Swarm make it easier than ever for organizations to adopt microservice architectures, getting your team on the same page about microservices remains a difficult challenge. For a profession that Read More
Source – techtarget.com Cloud services have transformed IT infrastructure, but the most recent trends in cloud computing signal a more fundamental shift that’s reshaping jobs. Newer cloud services and application design principals — such as microservices, serverless computing and function as a service — have important implications for both IT operations staff and developers. However, understanding Read More
Source – informationweek.com IT teams can salvage the value of legacy systems while pivoting to a new foundation offering better customer experiences. CIOs and their teams are routinely maintaining costly, long-running legacy systems that have gathered a large amount of data about purchases, services, and customer behavior over the years. Sure, they’re getting a bit creaky Read More
Source – zdnet.com At the core of any DevOps initiative is the judicious employment of containers and microservices, which dramatically speed up and simplifying the jobs of developers and operations teams alike. While many of the tried-and-true rules of IT management apply, containers and microservices also add new considerations, and new ways of doing things. To Read More