Source – https://www.analyticsinsight.net/ No wonder, Artificial Intelligence is the future. We’ve seen its application in possibly every field now. The problem isn’t with the technology, it is with the biasness that goes in, says Timnit Gebru. She goes on to add that it is built in a manner that replicates the white work force that’s Read More
Tag: application
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Source – https://www.analyticsinsight.net/ AI in healthcare is growing multifold, from diagnostics to pain management Artificial Intelligence has been playing a growing role in the world in the last few decades. What most don’t understand is artificial intelligence introduces itself in numerous structures that sway everyday life. Signing into your social media, email, car ride services, Read More
Source – https://www.whatech.com/ The world right now runs on a network of trillions of signals sent from billions of computer applications designed and maintained by thousands of people. It is hence safe to assume that life right now runs digitally. It was not the same a couple of decades ago but. The people who had Read More
Source: searchenterpriseai.techtarget.com A machine learning application’s value is dependent on the quality of data used to train and deploy it. Organizations are responsible for creating or acquiring enough data, that this data is useful for the specific application and that the analytics team is capable of sorting through and learning useful things from it. The Read More
Source: thefintechtimes.com Ludré Stevens is Chief Product Officer at Inbotiqa, a next-generation Intelligent Business Email for high-volume and group mailboxes utilising the power of AI. Here he shares how artificial intelligence can be used in the workplace during Covid-19. The onset of the Covid-19 pandemic and the dramatic changes in working practices it necessitated have created many Read More
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
Source: businessdailyafrica.com Imagine a bank whose customers can tap on a wearable device to make a payment and receive updates on investments through AI-generated insights. A bank that enables its customer to own their data through the application of blockchain technology and share it with lenders as a validated credit history when applying for a Read More
Source: analyticsinsight.net Machine learning depends on data scientists to handle the ML configurations and data inputs Machine Learning (ML) is constantly being adopted by diverse organizations in an enthusiasm to acquire answers and analysis. As the embracing highly increases, it is often forgotten that machine learning has its flaws that need to be addressed for acquiring Read More
Source: devops.com BigPanda Inc. and Datadog today announced they will integrate their respective platforms to make it easier to form artificial intelligence for automating IT operations (AIOps) to consume data generated by the Datadog IT monitoring service. The two companies are pledging to invest in a go-to-market partnership to create a comprehensive platform for monitoring, analytics and Read More
Source: searchenterpriseai.techtarget.com Physical robots have been around for almost a hundred years, but not without their limitations. In the 1990s the idea of the collaborative robot, or cobot, emerged to help find ways to put robots in closer proximity to humans, but it is only through the inclusion of AI that robotics can continue to Read More
Source: containerjournal.com Solo.io has launched an initiative to define a format to extend the Open Container Initiative (OCI) image specification to standardize how an image bundles and stores metadata when developers write code using WebAssembly (WASM). Company CEO Idit Levine says that as more organizations embrace WASM as a portable binary-code format for executable programs created using Read More
Source: expresscomputer.in Frost & Sullivan’s recent analysis, Digital Transmission Driving the Geospatial Services Market, 2020, covers eight industry use cases and their developments in terms of new technology disruptions, business models, application areas, and trends entering the market. It forecasts that the demand for enhanced and integrated imagery analytics intelligence will uncover new opportunities. Exploration of location Read More
Source: clearpathrobotics.com Clearpath teams up with Boston Dynamics to offer ROS-enabled Spot to Robotics Researchers Over the past 10 years, Clearpath has been enabling robotics research and development with our rugged, fully customizable and ROS-supported wheeled robots. Today we are excited to extend this same support to Boston Dynamics’ Spot. Through a partnership with Boston Read More
Source: prnewswire.com SANTA CLARA, Calif., Sept. 9, 2020 /PRNewswire/ — Frost & Sullivan’s recent analysis, Digital Transmission Driving the Geospatial Services Market, 2020, covers eight industry use cases and their developments in terms of new technology disruptions, business models, application areas, and trends entering the market. It forecasts that the demand for enhanced and integrated imagery analytics intelligence will Read More
Source: analyticsinsight.net Mass campaigns and rallies are turning virtual with AI Elections are people’s chance to change the nation’s fate. Voters believe that they are at a stage to exercise the right with a single press to bestow the leader they vouch for. Voters feel proud to be the power that chooses the fate of Read More
Source: searchitoperations.techtarget.com Whether in making their first move to Kubernetes or staying ahead of security threats in a massive container infrastructure, a novel take on monitoring has helped some IT pros at large companies manage the shift to cloud-native microservices. Enterprises have a plethora of Kubernetes monitoring tools to choose from, such as application performance monitoring and AIOps. Read More
Source: geospatialworld.net Los Angeles based TipTags, announced it has launched a mobile map-based system designed to enable ANYONE to create, share and access hyper-local information about navigating the post-COVID-19 world in hurricanes and other potential emergencies. The goal is to provide risk-mitigation & increased awareness through transparency, placing potentially life-saving information in the hands of Read More
Source: adtmag.com The latest release of Hazelcast’s Jet event stream processing engine for AI and ML deployments of mission-critical applications adds new app development features designed to simplify the integration of an event-driven architecture into brownfield deployments to gain new functionality around real-time and in-memory processing. “Stream processing” is about processing data in motion–users take action on Read More
Source: learningsearchenterpriseai.techtarget.com Bias in machine learning models can lead to false, unintended and costly outcomes for unknowing businesses planning their future and victimized individuals planning their lives. This universal and inherent problem and the techniques to solve it weigh on the minds of data scientists working to achieve fair, balanced and realistic insights. Planner, builder, Read More
Source: thearticle.com When Artificial Intelligence was in its infancy it was quite natural to give it a sonorous name. It needed to attract money and talent. It has since become a mainstream subject that seeks to imitate human intelligence. See a recent definition: “Artificial Intelligence is the theory and development of computer systems able to perform Read More
Source: inventiva.co.in What is artificial intelligence and why is it so famous? Artificial intelligence is the talk of the town. It is the simulation of human intelligence with the usage of machines and especially the management of the computer system. AI can be categorized in a lot of streams. This means that their primary basis of Read More
Source: cio.economictimes.indiatimes.com As most of you are aware, the Digital Transformation (DT or DX) mainly helps the organization to enable rapid innovation in launching and rolling out new business models, products, optimize business processes, and respond to new requirements of both external and internal customers (i.e. Internal functions & employees). While achieving the above goals is comparatively Read More
Source: thenextweb.com Two things often mentioned with deep learning are “data” and “compute resources.” You need a lot of both when developing, training, and testing deep learning models. When developers don’t have a lot of training samples or access to very powerful servers, they use transfer learning to finetune a pre-trained deep learning model for a new task. Read More
Source: informationweek.com Our society is in a technological paradox. Life events for many people are increasingly influenced by algorithmic decisions, yet we are discovering how those very essential algorithms discriminate. Because of that paradox, IT management is in an unparalleled position to select human intervention that addresses diversity and inclusion with a team and equitable Read More
Source: zdnet.com The king of awe-inspiring viral videos, Boston Dynamics is continuing its push to commercialize its agile robot creations with a new pilot program at Ford. The car-maker will be leasing two robotic dogs, known as Spot, for its Van Dyke Transmission Plant. The dogs will be on something of a short leash, guided by handler Paula Read More
Source: iotevolutionworld.com Particle, an IoT platform, has raised $40 million in a series C round of venture capital. The purpose was to make the consumer and enterprise IoT easier for its customers. The company’s investors in this round include Qualcomm and Energy Impact Partners. The platform offers the necessities for customers’ companies to build IoT Read More
Source: universalnews.org Machine learning is a method that provides IT systems with the ability to learn automated and enhances incidents without being directly programmed. It can also be considered as a data analysis method that automates systematic model development. And we can introduce Machine Learning (ML) into a more familiar word, as an application of Artificial Read More
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
Source: supplychaindigital.com Over the past four decades, much of manufacturing production world-wide has been organized in what has become known as Global Value Chains (GVCs). COVID-19 has struck at the core of global value chain hub regions, including China, Europe and the US. Now, as production comes back up to speed, companies are scrambling for a means Read More
Source: versicherungswirtschaft-heute.de Almost all insurers are currently investing three-digit millions in the conversion of their application landscape. The reason for this is that existing self-developed inventory management and damage systems are getting old and cannot meet current requirements for flexibility, running costs or innovative ability. The legacy systems are mostly replaced by standard software from the market, Read More