Source – insidehighered.com If you ask, many people will say we are in a new era of higher education, one where machine learning and big data analytics are driving rapid change. From the influx of adaptive learning technologies to the automated student support services and predictive analytics models driving new interventions, there are fewer spaces of Read More
Tag: Big data
Source – forbes.com Artificial Intelligence (AI) is getting way ahead of itself. It’s all the rage in the tech space. Venture capital is being thrown at anything that claims to have it. Startups are using it as a buzzword that they have to cram into their business idea just to sound like they are on the Read More
Source – analyticsinsight.net The uninterrupted growth of Big Data in the world is putting forth a problem – that of managing this data. Therefore, organizations all over the world are looking for the “perfect strategy” to get up and running with their share of Big Data. Implementing Big Data is a challenge for any organization, Read More
Source – forbes.com All the marketing behind artificial intelligence today reminds me of the push for the cloud (never worry about infrastructure maintenance again!) and big data (kiss concerns about structuring your data goodbye!) just a couple years ago. Sure, we all benefited from moving to the cloud and getting smarter about working with structured vs. non-structured Read More
Source – i-programmer.info R, Python, and Scala are the three major languages for data science and data mining. Here you’ll find out about their respective popularity, ease of use, and some pros and cons. Before all that, however, an important link between data warehousing and Big Data needs discussing. Organizations and enterprises of all sizes can Read More
Source – bigdata.cioreview.com Big data plays an integral role in protecting the environment and also sustaining economic growth, serving as a medium to decrease energy consumption, discover new renewable energy resources, and boost energy efficiency. To achieve these goals, cascades of data in motion and at rest are being increasingly assessed and monitored in real time. Read More
Source – researchinformation.info Social scientists need to take their expertise into the data science realm, says Katie Metzler The power of big data to unlock information, influence decisions and revolutionise outcomes is well known and well documented across a range of industries and sectors. It’s no secret that commercial businesses are using big data to maximise profit, Read More
Source – i-hls.com Most large organizations have billions of security-related logs per day and security analysts need to be able to automatically and intelligently parse critical data and cope with the growing cyber threats. A new security data lake that enables organizations to easily store and access critical log data in the enterprise was recently launched, Read More
Source – informationweek.com It’s no secret that investing in data can lead to major benefits for organizations. Not only is data vital to success, companies that utilize insight-driven practices are twice as likely to be market leaders within their industries. When you combine that perspective with the fact that upward of 80% of all collected data goes unused, Read More
Source – techtarget.com If you were to visit some data scientist’s home at night and peek in the window, you might see a computer running with its screensaver disabled. That’s because the data scientist had to bring home analytics work that takes too long to run in the corporate data center. This story is shared in Read More
Source – ft.com Please use the sharing tools found via the email icon at the top of articles. Copying articles to share with others is a breach of FT.com T&Cs and Copyright Policy. Email licensing@ft.com to buy additional rights. Subscribers may share up to 10 or 20 articles per month using the gift article service. More Read More
Source – csoonline.com At its simplest level, machine learning is defined as “the ability (for computers) to learn without being explicitly programmed.” Using mathematical techniques across huge datasets, machine learning algorithms essentially build models of behaviors and use those models as a basis for making future predictions based on newly input data. It is Netflix offering Read More
Source – economictimes.indiatimes.com Technological advances like artificial intelligence, machine learning and big data are impacting the power sector as well, making it imperative for producers to re-skill resources, a senior official of Tata PowerBSE -0.71 % said. “With technological disruptions like artificial intelligence, machine learning, big data, augmented reality etc. that are impacting the power sector Read More
Source – phys.org There is growing consensus that with big data comes great opportunity, but also great risk. But these risks are not getting enough political and public attention. One way to better appreciate the risks that come with our big data future is to consider how people are already being negatively affected by uses of it. At Cardiff Read More
Source – yourstory.com Data Science may have become hot in this decade, but its existence can be traced back to more than a couple of decades ago. A lot of academic research took place in data science (data mining) then, but there was no application in the market; it was all theoretical and mathematical. Real change came Read More
Source – cio.com.au In IT, the bigger the hype, the greater the misconceptions, and data analytics is no exception. Analytics, one of the hottest facets of information technology today, can result in significant business gains, but misperceptions can get in the way of a smooth and timely delivery of analytical capabilities that might benefit business users Read More
Source – theguardian.com Once upon a time, a very long time ago – 2009 in fact – there was a brief but interesting controversy about the carbon footprint of a Google search. It was kicked off by a newspaper story reporting a “calculation” of mysterious origin that suggested a single Google search generated 7 grams of CO2, which is about Read More
Source – techspective.net For most businesses today, data management has shifted from an important competency to a critical differentiator and determines industry winners and has-beens. Government bodies and Fortune 1000 companies benefit from the innovations of web developers. These organizations are reevaluating existing strategies and defining new initiatives to transform their businesses using “big data”. These Read More
Source – insidebigdata.com In this special guest feature, Matt Murphy, CMO of Chime Technologies, observes that for decades, the real estate industry has chugged along without too many big changes in how things were done. Information was generally fragmented, if it was accessible at all, and processes were paper-based. Big Data has shaken that up, for commercial Read More
Source – cioreview.com Data has been continuously flowing more than ever in our contemporary era. By applying necessary analytical measures on the colossal amount of Big Data, small and large businesses can identify new opportunities and improve the customer experience alike. As the population and the technology grows, so will the quantity of data increase. However, Read More
Source – thehindubusinessline.com Big data analytics, which is transforming many sectors, can have a telling impact on the agricultural sector too, to the benefit of small and marginal farmers, but reliable data bases relating to agriculture should be built up in the country, according to experts in the field. They were speaking here on Thursday at Read More
Source – techrepublic.com In the 1950s, scientists proposed that the human brain can only recall a list of about seven items. Brain power hasn’t changed much since then—but the amount of data that we are getting bombarded with certainly has. “We have all of the data that we need, but what is missing in companies is people Read More
Source – information-age.com Human beings are an innovative species and digitalisation is proof of this. It is undeniable that the world is becoming more and more digital; today people rely on smartphones and tablets to order our shopping, research and find destinations, connect with friends, improve our health, control devices in our home, stream our entertainment Read More
Source – informationweek.com There’s great value for companies to use automation technologies in analytics, taking advantage of the vast data sets now available. Making machine learning models more precise isn’t just about technology; but a reimagination of business structure and the roles of tech and people. Nearly every industry today is swimming in data, and the Read More
Source – dataconomy.com When we think about the future, we might imagine flying cars, superior technology and the potential to cure all diseases, extend our lifespan and improve the general health of world’s population. These hopes are more or less realistic, but this is so in lare part thanks to the advancement of big data Read More
Source – edgylabs.com Big Data was not created to be big by premeditation. Instead, it is a logical result of the accumulation of data related to consumer habits, tastes, and expectations, as well as the growing sharing of this data, plus worldwide communication, media storage, and entertainment. Big Data manages a lot. Everything, to some people, Read More
Source – purdueexponent.org Purdue could soon be considering important initiatives, a new building, and a system to keep everyone informed about campus assets to improve its efforts in data science. Professors, graduate students and academic advisors gathered Thursday to discuss the topic in forum. They were divided into department-based tables and brainstormed in smaller groups. “One Read More
Source – gulfnews.com Dubai: Growing competence in the area of big data and analytics promises to transform the cybersecurity solution space, said an industry expert. Harish Chib, vice-president for Middle East and Africa at Sophos, said that while threat actors keep changing their modus operandi and tools for the attack, many modes of operation continue Read More
Source – zdnet.com Pervasive data science is becoming a core enabler of business innovation and competition. Given this importance, it’s worth examining the context of data science to consider its trajectory and future value. In my view, primary challenges around data science for business leaders comes from threesources: Business people do not always understand the power and implications Read More
Source – iotbusinessnews.com Big data refers to the massive volumes of data collecting on everything from internet searches to app usage to IoT devices such as connected wearables. The development of tools able to find the useful pieces of information in this firehose of data and collate it into patterns is likely to impact numerous sectors. One Read More