Source – https://www.analyticsinsight.net/ Data scientists and RPA developers should collaborate to make a perfect team. If  RPA developers work with data scientists, it will facilitate more creative solutions to complex business problems; than working separately. Robotic process automation (RPA) is a cost-effective way of automating basic tasks as humans do, with the help of various hardware and software systems that can perform on Read More

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Source – https://www.prnewswire.com/ Using FICO Xpress Insight, Python Developers Can Help Business Leaders Make More Informed, Data-Driven Decisions Highlights: The addition of native Python support to FICO® Xpress Insight enables Python’s 8.2 million users to empower business professionals with easy-to-use applications that can execute sophisticated analytic models. With FICO® Xpress Insight business users and analysts can work with any Read More

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Source: theserverside.com An effective microservices logging strategy can hinge on the size and scale of the system in question. For example, a microservices-oriented architecture composed of 20 microservices is less of a logging burden when compared to one composed of 200 microservices. Developers who hope to introduce a successful microservices logging strategy need to craft Read More

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Source: searchapparchitecture.techtarget.com It’s not unusual for developers and architects who jump into microservices for the first time to “want it all” in terms of performance, uptime and resiliency. After all, these are the goals that drive a software team’s decision to pursue this type of architecture design. The unfortunate truth is that trying to create Read More

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Source: insights.dice.com The latest edition of the TIOBE Index, which attempts to gauge the popularity of the world’s programming languages, reveals something fascinating: Go, Swift, Perl and R have gained substantial ground over the past year. But can any of them challenge the older, more-established languages (such as C, Java, and Python) for TIOBE’s top slots? Read More

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Source: enterprisetimes.co.uk A monolithic architecture is one built from a single piece of material; therefore, a monolithic application has a single code base with multiple modules that are divided into business features and technical features. Microservices is an architecture used to separate a monolithic application into several independent services. A microservice application consists of a Read More

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Source: jdsupra.com The European Commission (“Commission”) has launched an antitrust sector inquiry into the Internet of Things (“IoT”) sector for consumer-related products and services within the European Union. The Commission is looking to develop a better understanding of how this fast-moving sector works and some of the potential issues that may arise from a competition Read More

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Source: jaxenter.com Microservices were supposed to make everything faster, but the reality for many Java developers is a new layer of complexity that can lead to performance problems. In parallel, developers are increasingly tasked with troubleshooting performance issues. For instance, a recent survey by JRebel found that 51% of Java developers are tasked with non-functional Read More

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Source: digitaljournal.com Dogan Technologies is at the forefront of helping organizations crack the code of big data and translate it into meaningful results. Thanks to a team of experts that includes professors, entrepreneurs, developers and scientists, the tech company has grown in popularity and acceptance with organizations worldwide. Dogan’s main focus is on building the Read More

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Source: searchcloudsecurity.techtarget.com Microservices offer tremendous flexibility to developers, adding speed and versatility to the application development process and thus enabling developers to focus their time more closely on business logic instead of the underlying application plumbing. However, the approach is not without its tradeoffs. One major challenge to deploying and managing a microservices architecture is Read More

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Source: venturebeat.com A push to reinvent the way developers create applications for the internet has gathered significant momentum, catching even some of its most ardent supporters by surprise. But even as the popularity of infrastructure based on the Kubernetes platform and microservices surges, the adoption has inevitably brought to light the massive challenges big businesses Read More

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Source: searchapparchitecture.techtarget.com When user demand hits unexpected and sustained highs, an application’s scalability and fault tolerance are put to the test. Architects are learning that lesson even quicker as the COVID-19 pandemic pushes demand for distributed applications, forcing them to make big decisions about how they manage availability. Microservices enable more efficient scaling than monolithic app Read More

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Source: A microservices architecture — as the name implies — is a complex coalition of code, databases, application functions and programming logic spread across servers and platforms. Certain fundamental components of a microservices architecture bring all these entities together cohesively across a distributed system. In this article, we review five key components of microservices architecture Read More

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Source: somagnews.com Artificial intelligence is used in many areas from games to smart phones today. That’s why developers are more focused on new AI designs. In fact, Google is now used to make artificial intelligence algorithms for artificial intelligence algorithms. The artificial intelligence silicon design handled by Google is defined as a subset of the Read More

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Source: aiuniverse.xyz An artificial intelligence tool Google provides to developers won’t add gender labels to images anymore, saying a person’s gender can’t be determined just by how they look in a photo, Business Insider reports. The company emailed developers today about the change to its widely used Cloud Vision API tool, which uses AI to analyze images Read More

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Source: startupbeat.com ClouDhiti today announces the launch of its AI Apps with the aim to empower online retailers, especially small and medium businesses (SMBs), with AI capabilities. With these five new apps, all available on the ClouDhiti Marketplace, SMBs don’t have to hire expensive technical developers or buy software that they don’t understand nor know how to Read More

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Source: searchapparchitecture.techtarget.com In a microservices architecture, numerous small, independent services integrate as needed to form an application. As such, development teams must monitor every microservice, and the path through them, to ensure the application does what it is designed to do. This is where microservices testing tools enter the picture. To figure out how to Read More

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Source: sdtimes.com Amazon has launched a new open-source library that will make it easier for developers to deploy machine learning models. With AutoGluon, Amazon aims to help developers deploy their models using just a few lines of code.  “We developed AutoGluon to truly democratize machine learning, and make the power of deep learning available to all developers,” Read More

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Source: artificialintelligence-news.com Google has issued several updates for its Cloud AI Platform which aims to make it ‘faster and more flexible’ for running machine learning workloads. Cloud AI Platform is Google’s machine learning platform-as-a-service (ML PaaS) designed for AI developers, engineers, and data scientists. The platform is end-to-end and supports the full development cycle from Read More

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Source: forbes.com Google 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 Read More

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Source: infoq.com In a recent blog post, Google announced enhancements to a part of its Vision AI portfolio – AutoML Vision Edge, AutoML Video, and the Video Intelligence API each received updates to enhance their capabilities. Both AutoML Vision Edge and AutoML Video were both introduced earlier this year, in April, as a part of Read More

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