Splunk .conf19 Conference Focuses On Turning Data Into Doing

Source:-forbes.com Splunk and 11,000 or so of their closest friends—including more than 2,200 partners—hung out in Las Vegas last week for the .conf19 conference. Splunk executives unveiled a number of innovations and initiatives and presented a roadmap and vision for Splunk that focused on using its Data-to-Everything platform to turn data into doing. They packed a lot into .conf19. The keynote session on Tuesday morning was filled with significant announcements related to innovations within Splunk and Splunk’s investment and participation

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Google Cloud AI Platform Gets Enhanced Training And Inference Capabilities

Source:-forbes.comGoogle announced updates to its Cloud AI Platform that enhance training and prediction capabilities of machine learning and deep learning models.  Google Cloud AI Platform is an end-to-end machine learning platform as a service (ML PaaS) targeting data scientists, ML developers, and AI engineers. The Cloud AI Platform has services to tackle the lifecycle of machine learning models. From data preparation to training to model serving, the platform has all the essential building blocks to develop and deploy sophisticated machine learning models. 

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Microsoft JEDI contract leaves AWS to weigh its options

Source:-searchcloudcomputing.techtarget.com Losing the $10 billion JEDI cloud computing contract to Microsoft forces AWS to consider its next steps in trying to reverse the government’s surprise decision. Days after Microsoft won the $10 billion JEDI contract over AWS, industry observers are still unpacking its ramifications and the forces that led to the Department of Defense’s surprise decision. “We’re surprised about this conclusion,” an AWS spokesperson said in a statement. “AWS is the clear leader in cloud computing, and a detailed assessment purely

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How Descartes Labs achieved safe, mission-critical continuous delivery

Source:-techbeacon.com At Descartes Labs we have built a data refinery to collect, process, and analyze sensor data to quantify changes in the Earth. Our platform runs on Kubernetes in Google Cloud, powering global-scale machine learning across more than 10 petabytes of geospatial data. At any given time we may have tens of thousands of CPUs extracting meaning from complex geospatial datasets, with models generating insights within minutes of satellites passing overhead (such as this one, for wildfire detection). Supporting a rapidly evolving API

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GitHub along with Weights & Biases introduced CodeSearchNet challenge evaluation and CodeSearchNet Corpus

Source:-hub.packtpub.com Yesterday, the team at GitHub along with its partners from Weights & Biases introduced the CodeSearchNet challenge evaluation environment and leaderboard. The team is also releasing a large dataset to help data scientists in building models for this task and several baseline models that highlight the current state of the art. Semantic code search involves retrieving relevant code when a natural language query is given. While dealing with other information retrieval tasks, it needs to bridge the gap between the language used in code

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Cloudera Data Platform launches with multi/hybrid cloud savvy and mitigated Hadoop complexity

Source:-zdnet.comThe watershed release of CDP, on which investors and customers have been waiting like nervous parents, is launched. And it’s much more than a merged version of the Cloudera CDH and Hortonworks HDP distributions. Cloudera Data Platform (CDP) is launching today. It’s a watershed release and brings existential changes to Hadoop and Big Data overall. It’s the culmination of several developments, including Cloudera’s merger with its erstwhile rival, Hortonworks. And the pressure to deliver it has been intense. BACKSTORY When Cloudera announced its first

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NOVA Program Taps AWS to Train Marines in Data Intelligence

Source:- campustechnology.com Northern Virginia Community College is working with the U.S. Marine Corps and Amazon Web Services to develop a set of courses focused on data intelligence. The new courses will cover cloud computing, data analytics, machine learning (ML) and artificial intelligence (AI) topics. To complete the program, Marines take 31 credits at NOVA as well as a course offered by the Marine Corps focused on military-specific components. Participants can then go on to obtain an associate applied science degree in

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Choosing the Right Enterprise Kubernetes Management Solution

Source:- it.toolbox.com According to a Forrest Group report, Kubernetes is winning in the “war for orchestration”. Since its launch in 2014, Kubernetes has grown exponentially in popularity, quickly becoming the standard for container management. Being open-source, several third-party enterprise Kubernetes management solutions were developed to help with clusters management. Read on to learn more about these container management tools and how to choose the right one for your organization. Why Enterprises Should Use Kubernetes Kubernetes is an open-source container management tool,

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GliaStudio delivers AI-powered video creation solutions on Google Cloud Platform

Source:-prnewswire.com TAIPEI, Taiwan, July 8, 2019 /PRNewswire/ — GliaCloud Co., Ltd., announced that GliaStudio is now available on Google Cloud Platform Marketplace (GCP Marketplace), allowing customers to generate quality videos simply from their news content, social posts, live sports events, and even statistical data in minutes. The collaboration with Google Cloud will enable more businesses around the world to access GliaStudio’s AI video creation capabilities and to stand out on social media. Google Cloud customers will find various packages offered

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GitHub trials machine learning so you can mind your language

Source :- devclass.com GitHub is trialling a machine-learning powered system to identify the babel of languages across the code repo platform. You might wonder whether this is a big deal – surely people know what language they’re using, and that’s all that matters. But announcing the project this week, GitHub machine learning engineer, Kavita Ganesan wrote, “When some code is pushed to a repository, it’s important to recognize the type of code that was added for the purposes of search, security

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Compuware Adds Machine Learning DevOps Muscle to Mainframe CI Solution

Source :- adtmag.com Compuware is advancing its ongoing mission to mainstream the mainframe for developers by integrating its machine-learning-driven zAdviser analytics tool with is ISPW mainframe continuous integration/continuous delivery (CI/CD) solution. zAdviser is a free service for Compuware customers designed to leverage machine learning “to continuously improve mainframe software development and delivery outcomes,” the company explained. It uses machine learning to find correlations among developer behaviors and key performance indicators (KPIs) based on DevOps data and Compuware product usage data. The

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Work is dead, welcome to workflows

Source:- techhq.com Most contemporary pieces in the media and wider technical press that attempt to highlight the current focus on workflows and the technologies that support them start with a reference to the Wikipedia definition. So let’s not buck that trend. According to free encyclopedia’s current description, “A workflow consists of an orchestrated and repeatable pattern of business activity enabled by the systematic organization of resources into processes that transform materials, provide services, or process information.” In other words, workflows define jobs.

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The Basics of CI/CD for Data Science and Machine Learning

Source:- informationweek.com Continuous integration and continuous deployment are IT practices that encourage testing code often. Learn how these practices also shape data-driven initiatives. The basics behind how machine learning and data science should work often feel less than basic. Machine learning practitioners from programmers to scientists are learning how to apply advanced statistics and mathematical application within the context of software programming. The result is complexity in selecting good machine learning models that conflict with management’s options at hand, be it

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The New AI Overseer Role in DevOps

Source- devops.com Robot overlords are the stuff of science fiction fantasy. Today, with more teams implementing artificial intelligence (AI), DevOps teams need a hard, continuous look at reality. An AI overseer watching apps at work could make the difference between sadness and euphoria in your efforts. We’re seeing AI misses more and more often. Facebook recently admitted its algorithms failed to stop uploads of a particularly heinous live-streamed video. Autonomous vehicles have struck cars and people. Jaywalkers in China have been

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Step by step, how enterprises should embark on the journey to the cloud

Source- siliconangle.com Cloud computing has become the principal paradigm for enterprise applications. As businesses modernize their computing and networking architectures, cloud-native architectures are the principal target environments. As a result, enterprise deployment of all-encompassing cloud computing is accelerating. Many enterprises have embarked on a journey to computing in and across a multiplicity of clouds. These are the chief steps on this journey: Zero in on core cloud use cases The first step on the cloud journey is to identify the chief use

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How AIOps Helps You Get More Out of DevOps

Source- devops.com DevOps may seem like an overused term. It involves taking an application’s source code and running it in an environment. It can cover the processes, the technology or even the people that maintain the technology that is running those very processes. At its heart, though, DevOps is about helping developers to be self-sufficient when it comes to the basic operations around getting their application to a real environment. Once things are running in a test or production environment, there

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What is the Next of Virtualization

Source- virtualization.cioreview.com It has been more than half a century in the history of virtualization since IBM’s first effort to virtualize mainframe in the mid-1960s. Multiple applications could run at once, and hardware utilization and productivity were increased. The evolution of virtualization has been accelerated in the past 20 years. The resources such as a server, desktop, storage, file system, operating system and, networking are virtualized, and workloads are managed and run over virtual resources to achieve scalability and elasticity. Virtualization

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THE LAST MILE FOR ANALYTICS

Source- analyticsinsight.net The promise of machine learning (ML) is vast and investment is increasing, but the results are lagging because too many projects don’t make it to production in an operational system. A Wall Street data scientist recently said to me, “It took us two months to build and train the model and six months to deploy it.” This is the norm. Analytics leaders cite deployment and productionization – aka the “last mile” – as the biggest bottleneck for analytics and ML

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Making enterprise automation your app development advantage

Source- enterpriseinnovation.net In today’s agile, innovation-driven and dynamic market, automation rules! It allows companies to streamline, optimize, eliminate human error and reallocate valuable human resources to other value-adding tasks. Automation provides the foundation for DevOps, which brings together the two separate worlds of app development and software operations. In theory, automation can improve rollout of app releases, increase deployment speed, lower failure rates, shorten the time between fixes, and reduce mean time to recovery when apps crash. The reality, however, can

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Machine learning now the top skill sought by developers

Source- zdnet.com Developers want to learn the data sciences. They see machine learning and data science as the most important skill they need to learn in the year ahead. Accordingly, Python is becoming the language of choice for developers getting into the data science space. Those are some of the takeaways from a recent survey of more than 20,500 developers conducted by SlashData. The survey shows data science and machine learning to be the top skill to learn in 2019. These will be

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