Source: which-50.com Before businesses implement data analytics into their businesses they first need to understand the challenges ahead of them. In a recently released NEC report, Taming Your Data Assets and Delivering Real Business Outcomes, it highlights a number of roadblocks companies need to identify and understand. These include, The sheer volume and variety of Read More
Tag: Big data
Upgrade & Secure Your Future with DevOps, SRE, DevSecOps, MLOps!
We spend hours on Instagram and YouTube and waste money on coffee and fast food, but won’t spend 30 minutes a day learning skills to boost our careers.
Master in DevOps, SRE, DevSecOps & MLOps!
Learn from Guru Rajesh Kumar and double your salary in just one year.
Source: analyticsinsight.net Data, today, fuels every small, medium, big company, industries, and economies across the globe. Its growing relevance in the tech market has gained momentum and the technology is already disrupting several verticals. However, with growing data and its accelerating processing, the responsibility of its privacy has also surged among data solution providers and Read More
Source: apmg-international.com Still in lockdown Week seven of the lockdown and the only immediate future I can think of is “when the heck are we likely to get back to some form of normal life?” Prospects do not look great for anytime soon! So, I will console myself with thinking further ahead. Actually, when you Read More
Source: healthitanalytics.com May 04, 2020 – Partners HealthCare, Biogen Inc., and Broad Institute of MIT and Harvard are partnering to launch a big data biobank for coronavirus research. The biobank will feature a large collection of de-identified biological and medical data to increase knowledge of the virus and discover potential vaccines and treatments. Biogen will help employees who want Read More
Source: eurweb.com *Big Tech soon may be asking people to opt into a nationwide tracking and data collection scheme to help public health officials predict the next coronavirus hotspot. Amid multiple reports of foreign states like China and Israel using surveillance to suppress the spread of COVID-19, some U.S. experts are divided over whether individuals Read More
Source: informationweek.com The growth of machine learning and its ability to provide deep insights using big data continues to be a hot topic. Many C-level executives are developing deliberate ML initiatives to see how their companies can benefit, and cybersecurity is no exception. Most information security vendors have adopted some form of ML, however it’s Read More
Source: cpomagazine.com The EU wants to see more non-personal data shared between businesses, but that could prove easier said than done. On 19 February, the European Commission presented a three-part package to boost Europe’s digital economy, including a European strategy for data. Buried beneath the headlines about artificial intelligence is a set of policy options Read More
Source: eurekalert.org Chinese researchers are using big data to help identify trauma patients who could experience potential adverse health events in the emergency department through the aid of a clinical decision support system. It was developed using a novel real-world evidence mining and evidence-based inference method, driven by improved information storage and electronic medical records. Read More
Source: cosmosmagazine.com The “big data revolution” offers an unprecedented opportunity to better chart environmental degradation and inform global conservation and sustainability, according to a commentary in the journal Nature Communications. But to harness this potential, big data outputs need to be better integrated with the international conservation process, says lead author Rebecca Runting, from the University of Melbourne, 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: 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: legalfutures.co.uk The Legal Ombudsman (LeO) is exploring whether to use big data and machine learning technology to suggest outcomes and make recommendations in resolving complaints about lawyers. The plans were revealed in a collection of articles produced by the Legal Services Board to solicit views from regulators, regulated groups and others about how regulation could support Read More
Source: advanced-television.com Qligent has announced Foresight, its second-generation, cloud-based service that uses AI, Machine Learning, and Big Data to mitigate content distribution issues. Designed to help broadcasters, MVPDs, and OTT service providers understand and correlate factors that contribute to higher audience engagement, Foresight provides real-time 24/7 data analytics based on system performance and user behaviour. Read More
Source: vantageasia.com According to article 484 of the Interpretations of the Supreme People’s Court on the Application of the Civil Procedure Law, after the enforcement process begins, the person subject to enforcement shall appear before the court to accept investigation and questioning after being lawfully summoned by the court. In reality, however, there are a Read More
Source: dqindia.com ML algorithms allow us to model and predict Big Data behaviors based on historical data: looking back. But what if the historical database is not enough to model our problem? This is where the so-called reinforcement learning comes into account, and machines explore their environment while learning from scratch based on rewards and Read More
Source: e3zine.com According to software vendors executing the big data projects, the answer is clear: More data means more options. Then add a bit of machine learning (ML) for good measure to get told what to do, and the revenue will thrive. This is not really feasible. Therefore, before starting a big data project, a Read More
Source: thebulwark.com anaging uncertainty and acquiring data are hard even in the best of circumstances. In the middle of a global pandemic? Good luck. The world is getting a crash course in the uncertainty of medicine, a discipline that is informed by science and strives to be scientific, but which operates far more often than Read More
Source: itbrief.com.au LINE Corporation has selected Cloudera to develop its AI technology based business and further empower its Data Science and Engineering Centre (DSEC), thus strengthening its data-driven business objectives. According to Cloudera, LINE will utilise Cloudera’s open source technologies to manage data lifecycles and security. LINE’s DSEC is a research and development (R&D) arm Read More
Source: martechseries.com The analysis of a large volume of data is already an indispensable part of the decision-making process for any business, regardless of its volume. Big data is used to resolve routine problems, such as improving the conversion rate or to achieve customer loyalty for an eCommerce business. But did you know that you can Read More
Source: analyticsinsight.net “Gone are the days of data engineers manually copying data around again and again, delivering datasets weeks after a data scientist requests it”-these are Steven Mih’s words about the revolution that artificial intelligence is bringing about, in the scary world of big data. By the time the term “big data” was coined, data had Read More
Source: aithority.com Data Science has quickly become a buzzword and popular career course in the last few years but the ideas that make up this field have been around for almost 3 centuries. According to John Foreman, VP of Product Management at MailChimp “Data Scientists are kind of like the new Renaissance folks, because Data Science is inherently multidisciplinary.” The Read More
Source: eponline.com Data has quickly become one of the most valuable resources for any organization. New tools and data-collection schemes have made it possible to gather and analyze massive sets of data—dubbed “big data.” These data sets allow us to discover patterns and relationships that we couldn’t have found with traditional approaches. One area being Read More
Source: techwireasia.com Business intelligence (BI) is nothing new to enterprises that have been relying on data processing and analysis to deliver insightful reports that reflect business performance. These tools are a great match for enterprises that value the data their operations generate. BI software and programs work together to turn data into actionable insights that can Read More
Source: intelligenttransport.com Dubai’s Roads and Transport Authority (RTA) is implementing the seasonal network operation initiative for maritime transportation after completing its project to automate the system of tickets through the use of big data. This includes all information related to maritime transportation services including the number of passengers, and revenue and occupancy rates achieved, which aims Read More
Source: hindustantimes.com The use of Big Data and Analytics is catching on in a big way. According to a forecast from IDC, the worldwide revenue from Big Data and Analytics will see a five-year compound annual growth rate (CAGR) growth of 13.2% between 2018-2022 to reach $274.3 billion in revenues by 2022. Companies are becoming Read More
Source: enterprisersproject.com As organizations became engulfed in big data – high-volume, high-velocity, and/or high-variety information assets – the question quickly became how to effectively derive insight and business value from it. “Big data naturally leads to advanced analytics. When we can capture a lot of information about a business topic that you can improve, you don’t want Read More
Source: itbrief.com.au Nutanix has extended its Nutanix platform with new features around big data and analytics, as well as unstructured data storage. The new capabilities will be part of the Nutanix Objects 2.0. They will include the ability to manage object data across multiple Nutanix clusters for achieving massive scale, increased object storage capacity per Read More
Source: blocksandfiles.com Nutanix has enlarged the capacity of its object store, deepened Splunk integration and improved inviolable archiving to give users more control of the unstructured data fire hose. The company’s aims for Nutanix Objects 2, launched today, is to make Nutanix systems more attractive for big data analytics by storing, managing and using more Read More
Source: aithority.com Machine Learning is a popular expression in the innovation world at this moment, it represents a significant step forward in how PCs can learn. The requirement for Machine Learning Engineers is high in demand and this flood is due to evolving innovation and generation of huge measures of information known as Big Data. Automated Machine Learning consolidates Read More
Source: dataconomy.com With the Ebola threat still looming large, widespread efforts are being made to identify, quarantine and treat possible carriers. BigMosaic, a big data analytics program developed by the Centers for Disease Control in collaboration with Healthmap will aid CDC in monitoring new cases and work with the West African expat community. Marty Cetron, director of CDC’s Read More