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Anomaly Detection in Machine Learning: Classification Algorithms vs Anomaly Detection
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Anomaly Detection in Machine Learning: Classification Algorithms vs...
Anomaly simply means something unusual or abnormal. We often encounter anomalies in our daily life. It can be suspicious activities of an end-user on a network or malfunctioning of equipment. Sometimes it is vital to detect such anomalies to prevent a disaster.
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Let’s go beyond QA and look at QE
By integrating quality at every step of the software development lifecycle, companies can create products that set new standards of quality in the market. It’s clear that Quality Engineering is now a strategic function with the potential to deliver a competitive advantage.
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[Infoblog] Kubernetes and Microservices
Kubernetes supports a microservices architecture through the service construct. It allows developers to abstract away the functionality of a set of Pods and expose it to other developers through a well-defined API.
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[Infoblog] Top 10 Worldwide IT Predictions 2019
Based on IDC analysis, business agility and/or the need for speed from IT and improved security are the top most important trigger factors for considering cloud, in contrast to cost. The market is in need for more consistent and standardized automated cloud resources to enable developers and line-of-business to execute at speed and in a more cost-effective manner.
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Understanding Supervised Machine Learning
Machine learning is about using data to build intelligent artefacts that learn over time. It involves collecting and analysing large amounts of data to extract information using various computational structures and algorithms.
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Is the Public Cloud in decline?
When Public Cloud was first introduced, it took the world by storm. The fact that organizations could access resources based on their need and pay only for what they consumed made Public Cloud a great business enabler
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Analyzing Business Impact of Cloud Modernization
Cloud Modernization may be used in varied sense of its meanings. However for businesses, it means, transforming your infrastructure and applications so that cloud provides best ROI on an ongoing basis. Using cloud modernization to unlock the value of your applications and data, by synergizing them with modern tools of analytics and AI.
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[Infoblog] The Anatomy of 5G
View our infographic on 5G technology overview and use cases.
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[Infoblog] Container Attached Storage
At a high-level Container Attached Storage is software that includes microservice based storage controllers that are orchestrated by Kubernetes. These storage controllers can run anywhere that Kubernetes can run which means any cloud or even bare metal servers or on top of a traditional shared storage system.
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Will Blockchain disrupt the world of data storage...
Blockchain-enabled data storage seems to provide the advantages described above. The question is, in the context of the Enterprise how long will it be before business leaders consider it proven enough to dive in?
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Storage Analytics is becoming more complex – can...
Physical servers and storage equipment are a data center reality. How can we ensure that the workloads are distributed correctly across this infrastructure?AI and Machine Learning can come to the rescue here as well. With these technologies, data centers can distribute workloads equally and efficiently across these servers.
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Distributed Application Architecture for Edge-Based Service Delivery
Now, as the focus of many enterprises and technology vendors started to shift to edge, a new architecture may evolve as distributed applications have a different environment with a different type of latency requirement.
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Smart Shop Floor – The Next Industry Revolution
Industries had undergone three revolutions till. First being, mechanization and using indirect combustion for powering up mechanization through water and steam power (Industry 1.0). Second revolution brought complicated machinery for mass production and used electrical power (Industry 2.0).
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Real World Examples of IoT in healthcare
With around 30 billion connected devices out there, the Internet of Things (IoT) is no longer just a buzzword. It’s very much a part of our reality. It has already started proving itself useful in the supply chain, manufacturing, automobiles, and predictive maintenance areas
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7 Sectors that are getting transformed by AI
There’s no longer any room for doubt that AI is transforming how the world operates. The effect of AI will only become more and more pronounced. Experts predict that the use cases of the future will be no different from the stuff sci-fi movies are made off. The question is, how will it disrupt your business model?
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A Honest Look – Can AI Help Us...
The software development industry sure has changed. We used “waterfall” to build software products in a phased, sequential manner. Then the Software Development Life Cycle started becoming less relevant. From Agile and DevOps to automated testing, and mobile and cloud technology –disruption hit the software development process.
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