Source: ciodive.com By now, the benefits of a cloud-based model are well documented, highlighting the potential for flexibility, agility and an augmented cost structure. More lamentation is overkill. The next sign of industry maturity is not acceptance — it’s technique. Each cloud implementation requires a tailored approach, accounting for business needs and objectives. And that can vary Read More
Tag: applications
Source: deccanherald.com Artificial Intelligence thrives on data. In recent times AI has been instrumental in creating new teaching and learning solutions that are now undergoing testing in different contexts. The beauty of any AI application is that it becomes more accurate when there is more accurate data available. Any AI application uses massive amount of Read More
Source: yourstory.com Digital marketing relies on leveraging insights from the copious amounts of data that gets created every time a customer interacts with a digital asset. Algorithms optimise various factors and data points that influence digital marketing success. In 2020, we anticipate a significant uptick in the mainstreaming of AI and machine learning use cases Read More
Source: computerweekly.com In October 2019, an Amazon employee in Melbourne, Australia bumped into another person while cycling on the road. As she was assuring that person that she would help, she realised that he was deaf and mute and had no clue on what she was saying. The awkward situation could have been avoided if assistive Read More
Source: analyticsinsight.ne The application of artificial intelligence (AI) and machine learning to the business and IT, from intelligent IT operations (AIOps) to service management to software testing, is keeping the data revolution moving at lightning speed. That’s why data science remains a popular concentration for computer science students who have the talent for math and analytics. And it’s why Read More
Source: datacentrenews.eu Huawei Cloud has launched a new Huawei Cloud Stack (HCS) offering specifically designed to provide cloud services in local data centres for government and enterprise customers. According to Huawei Cloud, the company is focused on making itself the go-to choice for government and enterprise organisations looking to go through the process of intelligent Read More
Source: landdgrantblog.wordpress.com Over the past twenty years, Eyebeam has provided robust professional and financial support to nearly five hundred artists to engage society’s relationship with technology. To advance this mission, the organization is inviting applications for its Rapid Response For A Better Digital Future program. In light of current circumstances related to the COVID-19 pandemic, Eyebeam seeks Read More
Source: analyticsinsight.net Over the last few years, deep learning has seen a huge uptake in popularity in businesses and scientific applications as well. It is defined as a subset of artificial intelligence that leverages computer algorithms to generate autonomous learning from data and information. Deep learning is prevalent across many scientific disciplines, from high-energy particle Read More
Source: koreatimes.co.kr Artificial intelligence (AI) is ushering in a paradigm shift in the conservative insurance industry, as more market players introduce new sets of time-saving AI-powered platforms to enhance business efficiency. It has been years since AI started appearing in almost all industries due to its usefulness in a wide range of applications and human-like Read More
Source: bbntimes.com Industries across the globe are using applications of data mining to gain insights from a huge volume of data and improve the efficiency and accuracy of their businesses. Data mining is an interdisciplinary field of computer science and statistics that can find patterns in large data sets. Its overall goal is to extract Read More
Source: helpnetsecurity.com Iguazio, the data science platform for real-time machine learning applications, announced a strategic partnership with NetApp that provides enterprises with a simple, end-to-end solution for developing, deploying and managing AI applications at scale and in real-time on top of the ONTAP AI framework. Despite the great promise of AI for business applications, many data science Read More
Sourced: jdsupra.com The efforts of Stephen Thaler are worth following. He, along with a team of researchers and academics, has spent the past decade developing DABUS, an artificial intelligence (AI) system that “invents.” Unlike specialized AI systems, DABUS is fed general information and is not trained to solve a particular problem – rather, DABUS is given Read More
Source: physicsworld.com Single-photon emission computed tomography (SPECT) is a diagnostic technique that detects gamma rays emitted by an injected radiotracer to create 3D images of tracer distribution in a patient. It is employed in a range of clinical applications, such as myocardial perfusion SPECT, for example, used to evaluate the heart’s blood supply. To perform Read More
Source: analyticsindiamag.com Google has launched TensorFlow RunTime (TFRT), which is a new runtime for its TensorFlow machine learning framework. According to a recent blog post by Eric Johnson, TFRT Product Manager and Mingsheng Hong, TFRT Tech Lead/Manager, “TensorFlow RunTime aims to provide a unified, extensible infrastructure layer with best-in-class performance across a wide variety of domain-specific hardware. Read More
Source: techrepublic.com Modern machine learning (ML) has become an important tool in a very short time. We’re using ML models across our organisations, either rolling our own in R and Python, using tools like TensorFlow to learn and explore our data, or building on cloud- and container-hosted services like Azure’s Cognitive Services. It’s a technology that helps predict maintenance schedules, spots Read More
Source: customerthink.com Introduction In today’s world, applications have become an indispensable part of every business. Be it mobile apps or web apps, applications are a great way for businesses, to reach their target audience and achieve their goals much faster. Applications are not only beneficial for businesses but are also, very much convenient for users Read More
Source: searchdatamanagement.techtarget.com Data is not only “big,” it’s also unruly. It populates every pocket of the enterprise. Every information system, every cloud, is dripping with it. And not unlike Jed Clampett’s “bubbling crude (oil that is),” it takes a lot of machinery, a lot of refining, to make it useful. It took the 2010s to Read More
Source: searchapparchitecture.techtarget.com When assembled correctly, a microservice architecture gives applications interoperation between various services, possibly hosted across different platforms. For microservices, security must be top of mind, since there’s no way to contain users as in a monolithic application. Instead of simply allowing upfront access to a microservices-based application, development teams need to also secure Read More
Source: analyticsinsight.net AI (ML) has been utilized for a long time in different industries to drive new business, increase productivity, reduce risk and improve consumer satisfaction. However, within data management, widespread adoption still can’t seem to progress. One issue is that use cases and capacities of ML related to data management are not constantly comprehended Read More
Source: analyticsinsight.net Real-time analytics has become the most crucial term in Big data analytics for enterprises. This enables enterprises to use all available data as real-time analytics big data. This means with real-time analytics enterprises can generate analytics reports as and when the data is received. It ideally takes a minute. Furthermore, using real-time analytics, Read More
Source: containerjournal.com Kubernetes, in many ways, has allowed software organizations to realize the benefits of microservices by providing a convenient and powerful abstraction for deploying, scaling and running distributed software systems. Those benefits, however, have come at a cost for traditional software operations. Indeed, as microservices have grown in complexity and scale, teams have often Read More
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
Source: thenextweb.com TLDR: Python is one of the coding languages any programmer needs to know, so the Coding with Python Ultimate Training can be the guidebook for anyone to help pick it up quickly. Working from home is great for convenience, but with so many potential distractions, it isn’t always the best for productivity. So if Read More
Source: sdtimes.com What is a cloud-native enterprise and how does an enterprise achieve that designation? A cloud-native enterprise is one that specializes in cloud-native development, or development that is optimized for distributed infrastructures. Examples of distributed infrastructures include hybrid clouds — on-premises applications that use products and services from a multitude of sources and applications Read More
Source: itweb.co.za InterSystems, a provider of IT platforms for health, business, and government applications, has partnered with enterprise AI company DataRobot, to accelerate the application of AI in healthcare. Through an integration and reseller agreement, InterSystems customers will be able to integrate predictions and insights from DataRobot’s enterprise AI platform into their healthcare applications. Henry Adams, Read More
Source: devprojournal.com Microservices architecture adoption has moved beyond use in the largest of cloud enterprises to applications of all sizes. Whether you are an early adopter – or you’re just now weighing your options — Kyle Davis, Head of Developer Advocacy, and Loris Cro, Developer Advocacy Manager at Redis Labs, authors of Redis Microservices for Dummies, share their Read More
Source: devclass.com To give more people a chance to play with natural language understanding, Google AI Hub has introduced Semantic Reactor, an experimental Google Sheets Add-on, to use in service bots and the like. The Semantic Reactor is promoted as a tool that “allows the user to sort lines of text in a sheet using a Read More
Source: itprotoday.com When it comes to machine learning, supervised learning has long been the superstar. But recent advancements and emerging enterprise applications are putting new attention on reinforcement learning. In an analysis of more than 16,000 artificial intelligence (AI) research papers undertaken by MIT’s Technology Review, reinforcement learning emerged as one of the leading trends in the past Read More
Source: searchapparchitecture.techtarget.com Microservices architecture embraces small, self-contained services built, deployed and scaled independently. However, despite the allure of microservices architecture, the monolith is still relevant. Enterprises need to find a middle ground between microservices and the monolith. A good strategy is to create a hybrid microservices architecture. What is a hybrid microservices architecture? To adopt a Read More
Source: pcquest.com Data is the new oil. While there is a huge amount of data being generated across industries and applications, the hard part is manipulating and making sense of it. Every organization needs someone to analyse this data, to be able to make better decisions—and this is where a data scientist comes into the Read More