Source: techrepublic.com For years we’ve been told that data science is the future; that artificial intelligence (AI) and machine learning (ML) will enable us to automate everything. And yet most (85%) data science projects fail, according to a 2019 report, though such scare statistics might not reflect reality. Still, there are plenty of reasons why a data science project might not Read More
Tag: Machine learning
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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: aithority.com Technology is developing today at a pace that’s never been seen before. New advancements and breakthroughs happen far more readily than at any time in the past. One of the most talked-about areas of cutting-edge tech is that of artificial intelligence (AI). AI is driving the digital transformation of organizations in all manner of niches. Read More
Source: tvtechnology.com AI: WHAT’S WHAT? No other topic has dominated industry conversation in recent years like AI. But what exactly does it mean when we speak of AI? Artificial intelligence is the generic term for a machine simulation of human cognitive abilities. Machine Learning, in turn, describes a series of mathematical methods that can identify certain Read More
Source: analyticsinsight.net Artificial intelligence (AI) and machine learning (ML) are two technologies that have witnessed a massive growth trend over the years. In a quest to look for a quick, cost-efficient and innovative way to gain advantages from data science, enterprises are relying more on the use of rapidly growing big data available at their disposal. Data and analytics combined Read More
Source: aithority.com Synopsys, Inc. announced that Tenstorrent has achieved first-pass silicon success for its Grayskull AI processor system-on-chip (SoC) using Synopsys’ DesignWare PCI Express (PCIe) 4.0 Controller and PHY, ARC HS48 Processor, and LPDDR4 Controller IP. The silicon-proven DesignWare IP portfolio enabled Tenstorrent to quickly meet the critical real-time connectivity and specialized processing requirements of their dynamic artificial intelligence (AI) Read More
Source: aithority.com AnyLogic North America announced a new collaboration with Microsoft. This relationship brings the deep reinforcement learning and machine teaching capabilities of Microsoft Project Bonsai to practical business applications. “The integration with Project Bonsai enables AnyLogic to bring advanced artificial intelligence and reinforcement learning to our world class business simulation platform without the need for Business Analyst Read More
Source: baesystems.com Transitioning artificial intelligence-based systems from decision-making tools into true partners requires users to trust in their machine counterpart. While machine learning technology has matured, these systems are unable to communicate context and confidence in their decisions – including task strategies, the completeness of their training relative to a given task, factors that may Read More
Source: searchbusinessanalytics.techtarget.com If there’s been one overarching trend in analytics in 2020, it’s been vendors’ efforts to help organizations navigate the COVID-19 pandemic. Beginning in March when the novel coronavirus started its worldwide spread, analytics software vendors began developing general resources to inform both organizations involved in the fight against the spread of the virus and the Read More
Source: computerweekly.com The importance of automation is not being overestimated, but the capacity of machine learning (ML) and other forms of artificial intelligence (AI) applications to achieve trustworthiness in automation is. To succeed with AI for automated cyber security, we need to let go of the unrealistic goal of trustworthiness. Use it, but don’t trust it. The Read More
Source: bloncampus.thehindubusinessline.com The Covid-19 outbreak has been one of the worst tragedies to befall mankind. Its impact is felt by almost all industries and businesses around the world. The prolonged lockdowns, due to the debilitating effects of the pandemic, have led to a huge decline in demand for goods and services, which in turn, is Read More
Source: mytotalretail.com In recent years, artificial intelligence (AI) and machine learning (ML) technologies have successfully penetrated many industries, ranging from healthcare to automotive. However, retail is particularly susceptible to adopting various ML applications as data is this industry’s driving force both in the physical and e-commerce realms. For example, an AI-powered recommendation engine has become Read More
Source: which-50.com Tealium had added machine learning to Audience stream, its Customer Data Platform (CDP). Called Tealium Predict ML the company says it is designed to enable marketers to orchestrate real-time customer data, for instance by identifying buyers that are most likely to make a purchase or a segment most likely to churn. The company Read More
Source: analyticsinsight.net Robots have been deployed in manufacturing to fill several rule-based operations. Fully autonomous robots in manufacturing are utilized for high-volume, repetitive processes work which demands speed and accuracy for the process of lifting, holding and moving heavy pieces. Manufacturing robots automate rule-based repetitive tasks, enable a human workforce to shift its focus on Read More
Source: analyticsinsight.net The practice to include Artificial Intelligence in industry application is skyrocketing for a decade now. It is evident since, AI and its constituent applications Machine Learning, computer vision, facial analysis, autonomous vehicles, deep learning form the pillars of modern digital empowerment. The ability to learn the data it is trained up to understand the binary, Read More
Source: analyticsinsight.net Developments in machine learning are significantly supporting QA Testing and Software Development process The advent of DevOps paves way for businesses to actively look for real-time risk assessment backed by machine learning algorithms throughout the various stages of the software delivery cycle. QA engineers face a plethora of difficulties in the juggle to find out Read More
Source: computerweekly.com Data analytics has rarely been more newsworthy. Throughout the Covid-19 coronavirus pandemic, governments and bodies such as the World Health Organization (WHO) have produced a stream of statistics and mathematical models. Businesses have run models to test post-lockdown scenarios, planners have looked at traffic flows and public transport journeys, and firms use artificial intelligence (AI) to Read More
Source: searchbusinessanalytics.techtarget.com Tellius introduced Tellius On-Demand, a new SaaS version of its analytics platform designed to help businesses quickly derive insights from data. The analytics vendor, founded in 2015 and based in Reston, Va., previously introduced Tellius Enterprise when it emerged from stealth in 2018. On-Demand, unveiled Wednesday and now generally available, is hosted on Read More
Source: mercomindia.com Researchers at Imperial College London claim to have developed a new machine-learning algorithm that could improve the design and performance of lithium-ion batteries and fuel cells. They claimed that the algorithm would also allow researchers to understand the microstructure of fuel cells better. This will help run simulations that could enable them to improve the Read More
Source: techspot.com Machine learning (ML) has become a hot topic in the last few years, but what you may not realize is that the concept of machine learning has been around for decades. The design of machine-learning systems used to this day is based on the human brain model described by Donald Hebb in 1949 in his Read More
Source: computerweekly.com Data analytics has rarely been more newsworthy. Throughout the Covid-19 coronavirus pandemic, governments and bodies such as the World Health Organization (WHO) have produced a stream of statistics and mathematical models. Businesses have run models to test post-lockdown scenarios, planners have looked at traffic flows and public transport journeys, and firms use artificial intelligence (AI) to Read More
Source: techrepublic.com Big data analytics is no longer a nice thing to have for enterprises: It’s now mission-critical. In 2019, Veritas said, “In just a few years, big data has advanced from scattered experimental projects to achieve mission-critical status in digital enterprises, and its importance is increasing. According to IDC, by 2020, organizations able to analyze all Read More
Source: exclusive.multibriefs.com Artificial intelligence is not the future. It is the present. AI can improve your business in many ways, which your competitors already know. Machine learning is now used across many sectors. Companies in fields as diverse as medicine, fashion, food, and more use AI. It improves organization, stock taking, design, and customer service. In Read More
Source: swisscognitive.ch Artificial intelligence (AI) and machine learning (ML) have the power to deliver business value and impact across a wide range of use cases, which has led to their rapidly increasing deployment across verticals. For example, the financial services industry is investing significantly in leveraging machine learning to monetize data assets, improve customer experience and enhance operational efficiencies. Read More
Source: datanami.com “We were disappointed, if not surprised, to see that data wrangling still takes the lion’s share of time in a typical data professional’s day,” Anaconda wrote in its report, “2020 State of Data Science: Moving From Hype Toward Maturity.” “Data preparation and cleansing takes valuable time away from real data science work and has a Read More
Source: scienceblog.com For all the advances enabled by artificial intelligence, from speech recognition to self-driving cars, AI systems consume a lot of power and can generate high volumes of climate-changing carbon emissions. A study last year found that training an off-the-shelf AI language-processing system produced 1,400 pounds of emissions – about the amount produced by flying one Read More
Source: aithority.com Stradigi AI, a leading North American Artificial Intelligence software company, announced it has been selected by Roland Berger, a European-based consulting firm, to join Terra Numerata, its exclusive global network of partners. Stradigi AI’s SaaS machine learning platform, Kepler, is designed for non-technical business users and is complementary to the firm’s advisory services. Together, they will meet Read More
Source: techxplore.com For all the advances enabled by artificial intelligence, from speech recognition to self-driving cars, AI systems consume a lot of power and can generate high volumes of climate-changing carbon emissions. A study last year found that training an off-the-shelf AI language-processing system produced 1,400 pounds of emissions—about the amount produced by flying one Read More
Source: containerjournal.com D2iQ has added a curated distribution of Kubeflow, open source software that makes it easier to deploy workflows that incorporate machine learning algorithms on a Kubernetes cluster, as an extension to its existing portfolio of automation tools. Jie Yu, chief architect for D2iQ, says KUDO for Kubeflow will make it easier for IT teams to Read More
Source: aithority.com Award-winning OxFirst, a specialist in the law and economics of IP, has released research that reveals the hidden secrets behind global patent registrations and information on the economic value of patents in the AI sector. While Samsung, IBM and Tencent dominate with the highest number of patents filed, fierce competition between the US and China overshadows other countries, Read More