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

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Source – marktechpost.com The level of technological advancement and adoption of Artificial Intelligence in different business industries is incredible. Every firm is striving to integrate machine learning and smart services to enhance and boost production. There is more to business in 2018 than the conventional marketing techniques; apart from e-commerce where most transactions and purchases Read More

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Source – analyticsinsight.net Digital transformation is bringing the world closer and is highly responsible for driving all activities within an enterprise. It is bringing agility into businesses and reducing the overall cost of some kind of ownership also. If we closely look into this phase of transformation, cloud technologies are the highest adopted technology stream in Read More

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Source – analyticsinsight.net Digital transformation is bringing the world closer and is highly responsible for driving all activities within an enterprise. It is bringing agility into businesses and reducing the overall cost of some kind of ownership also. If we closely look into this phase of transformation, cloud technologies are the highest adopted technology stream in Read More

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Source – techtarget.com Despite having brought forth a revolution in application design and deployment, microservices can create profound, even critical, security and compliance problems. To meet microservices-based development and deployment goals, you are often required to step into new areas of application design, including areas that defeat many of the traditional mechanisms for securing applications. Just as Read More

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Source – economictimes.indiatimes.com The phenomenal growth of cloud-based offerings such as Platform as a service (PaaS), Infrastructure as a service (IaaS) and Software as a service (SaaS) has resulted into bigger competition in the market, with the new addition being Machine Learning as a Service (MLaaS). Machine Learning has emerged as one of the fastest evolving Read More

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Source – forbes.com Google services such as its image search and translation tools use sophisticated machine learning which allow computers to see, listen and speak in much the same way as human do. Machine learning is the term for the current cutting-edge applications in artificial intelligence. Basically, the idea is that by teaching machines to “learn” Read More

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Source – forbes.com The first wave of cloud computing is attributed to platforms. Google App Engine, Engine Yard, Heroku, Azure delivered Platform as a Service (PaaS) to developers. The next big thing in the cloud was Infrastructure as a Service where customers could provision virtual machines and storage all by themselves. The third wave of cloud Read More

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Source – newscaststudio.com When it comes to virtualizing media workflows, microservices has become quite the buzzword in the media and entertainment industry – just like IP technology, cloud computing and software-defined networking before it. But what are microservices, and why are they so important to the future of the broadcast industry? In the simplest terms, microservices Read More

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Source – nasdaq.com Slowly but surely, artificial intelligence (AI) is becoming an integral part of our lives . Of course, we don’t have AI-enabled robots running errands for us just yet, but tech companies are integrating the technology very subtly into things that we interact with every day. From Googlesearches to automatically tagging photos on Facebook , and talking to Siri Read More

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Source – forbes.com Ranked No. 1 overall as the best job in America by Glassdoor, data scientists have quickly risen in prominence and critical importance within organizations. As technologies like the cloud, IoT and AI transform both the amount of intelligence companies can access as well as the speed at which they can innovate, a strong team of data scientists is no longer Read More

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Source – forbes.com In the past few years, new categories of products have emerged thanks to the extraordinary advances in machine learning (ML) and deep learning (DL). These new techniques power product recommendations, computer-aided diagnosis in medical imaging and self-driving cars, just to name a few. Most ML and DL algorithms require compute profiles (hardware, software, Read More

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Source – economictimes.indiatimes.com BENGALURU: Flipkart is working with Microsoft to deploy artificial intelligence and machine learning-based solutions that will making it easier to run future sales, the ecommerce company’s head of engineering told ET. Flipkart, which recently concluded its Big Billion Day sales, saw three-times more users and as much as 30 times its usual amount Read More

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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

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Source – forbes.com Industrial Internet of Things (IIoT) is already revolutionizing domains such as manufacturing, automobiles and healthcare. But the real value of IIoT will be realized only when Machine Learning (ML) is applied to the sensor data. This article attempts to highlight how ML augments IIoT solutions by bringing intelligent insights. Cloud computing has been Read More

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Source – seekingalpha.com Summary In the next 10 years, the artificial intelligence market will be increasing by an average of 50% each year. Over the past 6 years, Alphabet acquired more artificial intelligence startups than Facebook and Microsoft combined. The first practical results of Alphabet in the field of artificial intelligence are qualitatively better than those Read More

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Source – investopedia.com Microsoft Corp. is pushing further into the artificial intelligence market, announcing a new lab dubbed Microsoft Research AI, which is aimed at developing more general-purpose learning systems. The lab, which will be located at its Redmond, Wash., headquarters will house more than 100 scientists from all areas of AI: learning, natural language, perception and reasoning. The Read More

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Source – thehybridhive.com According to Gartner, microservices are part of the top 10 strategic technology trends for 2017, in support of mesh app and service architecture. You may have heard of microservices, but have you considered how they could benefit your applications and organisation in a Hybrid IT environment? Microservices are independent application components that deliver specific outcomes Read More

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Artificial Intelligence