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
Tag: Development
Source: searchenterpriseai.techtarget.com How far are we from artificial general intelligence? And if we ever see true AGI, will it operate similar to the human brain, or could there be a better path to building intelligent machines? Since the earliest days of artificial intelligence — and computing more generally — theorists have assumed that intelligent machines would think in Read More
Source: analyticsindiamag.com The one thing that is common between development projects and data projects is that they both hold a lot of promise. But, at the time of rolling out production, the latter is delivered late and once that is done, they tend to underperform. One of the main reasons for their potential underperformance is Read More
Source: demotix.com We dawn in an era where everything has shifted to the digital space. Everything today seems possible by the touch of a few buttons and voila! But have you ever asked yourself how this is so? Well, thankfully, there are a number of computer languages that you can study to have an understanding Read More
Source: infoq.com In a recent blog post, Google announced the beta of Cloud AI Platform Pipelines, which provides users with a way to deploy robust, repeatable machine learning pipelines along with monitoring, auditing, version tracking, and reproducibility. With Cloud AI Pipelines, Google can help organizations adopt the practice of Machine Learning Operations, also known as MLOps – a term for Read More
Source: techxplore.com To effectively interact with their surrounding environment, robots should be able to identify characteristics of different objects just by touching them, like humans do. This would allow them to get hold of and manage objects more efficiently, using feedback gathered by sensors to adjust their grasp and manipulation strategies. With this in mind, Read More
Source: informationweek.com When chief information officers think about their organizations and where machine learning might be deployed, the process often begins with an inventory of tasks. The CIOs and department leaders identify routine, repeatable processes that humans can pass off to computers. Then the operations and IT teams set up targeted programs to make those Read More
Source: techrepublic.com The spread of artificial intelligence (AI) is not slowing down: 85% of organizations said they are evaluating or using AI in production, a report from the technology and business training company O’Reilly found. More than half of companies identified themselves as mature adopters of AI, or as using AI for analysis or in production. O’Reilly’s AI Read More
Source: jaxenter.com Borne out of many years of work in the enterprise distributed systems arena, enterprise Java went on to become a dominant force in application development. Twenty years on, Java is still standing strong towards the top of industry language rankings. This is, in no small part, a result of the level of reinvention Read More
Source: cphi.com The utilisation of artificial intelligence (AI) by the pharmaceutical industry is gathering pace rapidly. The technology has evolved beyond simple neural networks and machine learning towards a deep learning approach geared at producing insights which should in theory enable better business decision making. AI’s remit is largely to tackle complex problems in ways similar Read More
Source: hecorner.eu Caixabank Research | To date, technological change has been key to the economic and social development of the human race. Despite this, the technological revolution that we are currently experiencing, with artificial intelligence (AI) at the helm, is a source of not only wonder but also some misgivings. These misgivings may be due to Read More
Source: venturebeat.com Google today announced the beta launch of Cloud AI Platform Pipelines, a service designed to deploy robust, repeatable AI pipelines along with monitoring, auditing, version tracking, and reproducibility in the cloud. Google’s pitching it as a way to deliver an “easy to install” secure execution environment for machine learning workflows, which could reduce the Read More
Source: insights.dice.com Source: Your typical data scientist works with various forms of data to discover insights and knowledge. Then they develop products and services that support optimal decision-making. The data can be structured (coming from a pre-defined data model and residing in relational databases) or unstructured (having no pre-defined format, such as text files or user-generated content). Read More
Source: venturebeat.com Google today announced the beta launch of Cloud AI Platform Pipelines, a service designed to deploy robust, repeatable AI pipelines along with monitoring, auditing, version tracking, and reproducibility in the cloud. Google’s pitching it as a way to deliver an “easy to install” secure execution environment for machine learning workflows, which could reduce the Read More
Source: brisbanetimes.com.au What do the Pentagon, the Vatican and some of the big players in Silicon Valley have in common? They have all embraced ethical principles to guide the development of artificial intelligence that are superficially big on ambition, but sadly lacking any teeth. Getting a framework to guide AI is critical because of the Read More
Source: wvnews.com CLARKSBURG — Over the past several years, the Eastpointe Shopping Center has seen several projects that brought new businesses and experiences to the area, helping to breathe fresh life into the Clarksburg area. Clarksburg Code Enforcement Officer Jim Llaneza said the new projects have been a great addition to the area, providing over Read More
Source: analyticsinsight.net Historically, commercial real estate (CRE) intelligence has been passed down from person to person, either through a brokerage company or a corporate structure. While this seems to be working, for now, the future that we can foresee for the CRE industry includes a combination of this human intelligence and technology-based systems. The blending of these Read More
Source: analyticsinsight.net Different business and technology developments bring about increased levels of cyber risks. The continued adoption of web, mobile, cloud, and social media technologies have opened new open doors for attackers. Also, floods of outsourcing, offshoring, and third-party contracting have additionally weakened hierarchical authority over data systems. These trends have brought about a boundaryless environment Read More
Source: analyticsinsight.ne The world is now heading into the Fourth Industrial Revolution, as Professor Klaus Schwab, Founder and Executive Chairman of the World Economic Forum, described it in 2016. Artificial Intelligence (AI) is a key driver in this revolution and with it, machine learning is critical. But critical to the whole process is the need Read More
Source: traveldailynews.com 44 per cent of travel technology experts predict that ‘Big Data’ will have the biggest impact on the growth of sustainable travel, according to a survey by Travel Technology Europe. Big Data, which enables patterns, trends, and associations relating to human behaviour and interactions to be identified and analysed, was highlighted alongside a number Read More
Source: searchapparchitecture.techtarget.com Microservices architecture became popular for its ability to create applications that are flexibly scalable, resilient and independently deployable. But despite the on-paper benefits, not all organizations will gain much from microservices adoption, due to the inherent operational complexity of these architectures. That’s what makes it important to make the transition to microservices a Read More
Source: jdsupra.com A joint task force of the European Medicines Agency (EMA) and Heads of Medicines Agencies (HMA) has proposed a new approach to the use of “big data” in EU medicines regulation. The report, from the Big Data Task Force (BDTF) (accessed here), contributes to the EMA and HMA’s “EU Network Strategy” to 2025 and Read More
Source: networkworld.com Intel is ending work on its Nervana neural network processors (NNP) in favor of an artificial intelligence line it gained in the recent $2 billion acquisition of Habana Labs. Intel acquired Nervana in 2016 and issued its first NNP chip one year later. After the $408 million acquisition by Intel, Nervana co-founder Naveen Rao Read More
Source: itnonline.com It is not that smart algorithms will one day become too smart, as some fear; not that smart machines will one day overshadow human intellect. Rather the danger is that artificial intelligence (AI) machines are viewed by people as more impartial than they are; that their decisions are more objective than those of people. They Read More
Source: mobileappdaily.com The fundamental idea of data creating business models has matured now. The effective and proposed use of data is now the basis of prevalent competition between mobile app development companies. Today, enterprises want to derive quality insights from the information because it will help them make smarter, better fact-based, and real-time decisions. These Read More
Source: searchapparchitecture.techtarget.com Microservices should simplify software development. In theory, we can stitch microservices together with a top layer, assembling applications out of components. The promise isn’t new, but it is worth examining. Ivar Jacobson proposed the idea of software components, like circuit-board components, in 1967. He wanted to make building software more like assembling prefabricated Read More
Source: techerati.com Microservices represent a radical shift in how organisations approach application development The world of enterprise software development came of age with the emergence of ‘single purpose’ software applications aligned to a specific business function. It started with accounting programmes in finance, but with time, many areas such as manufacturing, supply chain and inventory Read More
Source: /i-hls.com Currently, almost every company integrates Artificial Intelligence into its products, including deep learning. “The availability of current computing power, alongside labeled databases and trained networks that can be easily adapted for solving new problems – these are the factors that helped the deep learning field to finally grow”, said Roy Fahn, who leads the Read More
Source: forbes.com I have written on several occasions about Netflix’s use of data analysis and how this strategy has given it a clear advantage over traditional approaches based on studio executives’ “gut feeling”. We now have tangible evidence of the success of this strategy: in December Netflix dominated the Golden Globes nominations, and at the Read More
Source: newdelhitimes.com The term Artificial Intelligence (AI) was coined by John McCarthy in 1956. AI is defined in the Oxford English Dictionary as “the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.” According to techopedia.com, Artificial Intelligence (AI) Read More