Source – https://www.techiexpert.com/ As machine learning has advanced throughout time, a multitude of sectors has utilized it to innovate and streamline corporate processes. AI and machine learning have been used to improve client experiences in a variety of industries, including healthcare, commerce, industrial, defense, and academia. Machine learning has revolutionized the way tiny data is processed. It Read More
Tag: 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 – https://www.analyticsinsight.net/ Business intelligence techniques help understand trends and identify patterns from big data In the digital world, modern businesses generate big data on daily basis. The recent advancement in technology has opened the door for companies to effectively store and process big data to unleash data-driven decisions and insights. Unfortunately, there is a void between data storage Read More
Source – https://www.analyticsinsight.net/ The chances of partiality, in the process of data analysis, are extreme and it can vary from how a question is hypothesized and explored to how the data is sampled and organized. Bias can be introduced at any stage from defining and capturing the data set to run the analytics or AI Read More
Source – https://www.analyticsinsight.net/ Often the words such as data, information, and insight are used interchangeably, but these words are not similar, they have different meanings. Understanding those differences can help you tailor your program to benefit your business. What is data? How does that turn into information and what kind of insights does it yield? These differences are Read More
Source – https://www.forbes.com/ Artificial intelligence is a data hog; effectively building and deploying AI and machine learning systems require large data sets. “The development of a machine learning algorithm depends on large volumes of data, from which the learning process draws many entities, relationships, and clusters,” says Philip Russom of TDWI. “To broaden and enrich the correlations Read More
Source – https://www.analyticsinsight.net/ Artificial intelligence (AI) has proven to have several benefits across different industries and businesses. One sector that has benefitted from the use of AI is the healthcare industry. This sector is always full of patient information, health records, and other important data crucial to patients and hospitals. Major problems facing healthcare data Read More
Source – https://www.analyticsinsight.net/ No wonder, data science has emerged out to be the most sought-after profession. Obtaining insights from data, as data science is rightly defined, has proven to be no less than a blessing in almost every sector that one can think of. Making the best of data is what data scientists are expected Read More
Source – https://www.analyticsinsight.net/ Data annotation is the process of labeling data to make it easy for machines to access it. Why did humans start making machines? The immediate answer would be to make a mechanical and computerised model that works like humans. Yes, humans wanted machines to imitate whatever they do. The purpose of artificial intelligence is Read More
Source – https://www.forbes.com/ Gary M. Shiffman, Ph.D. is the Founder and CEO of Giant Oak and Co-Founder and CEO of Consilient. He is the creator of GOST and Dozer. According to my company’s research, a full 25% of PPP fraud casesbrought by the Department of Justice could have been easily prevented. The fraud is so obviously clumsy that it Read More
Source – https://www.analyticsinsight.net/ As machine learning has progressed over the years, several industries adopted this technology to innovate and simplify business processes. Many industrial sectors like healthcare, retail, manufacturing, defense, and education have taken up AI and machine learning to enhance customer experiences. Machine learning has worked wonders for microscopic data processing. It has reduced Read More
Source – https://www.analyticsinsight.net/ Understanding how to differentiate between data, analytics, and insights and how they work. Data. Analytics. Insights. These three are the most important food for the soul of business today. The current scenario is more transformational and technology-dependent, where data is known as the digital currency. Data is driving business intelligence through advanced analytics and by Read More
Source – https://www.neurologyadvisor.com/ A novel system using deep learning technology and custom electroencephalogram (EEG) data techniques has been shown to automatically learn seizure signatures in patients with epilepsy and reduce the amount of raw EEG data needed to be reviewed by a neurologist, according to a study published in EBioMedicine. Researchers involved in the study obtained Read More
Source – https://indianexpress.com/ Meanwhile, India shows evidence of evolving gender dynamics as women adopt online learning at one of the fastest paces globally. The share of overall Coursera course enrolments as well as in STEM courses from women learners in India saw an unprecedented increase. Despite high skills proficiency in areas like Machine Learning and Read More
Source – https://bdtechtalks.com/ This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence. Most artificial intelligence researchers agree that one of the key concerns of machine learning is adversarial attacks, data manipulation techniques that cause trained models to behave in undesired ways. But Read More
Source – https://healthitanalytics.com/ Deep learning methods analyzed genomic data from whole blood samples and found differences in patients with Alzheimer’s disease. Using deep learning and genomic data, researchers from Beaumont Health have discovered a simple blood test that may help predict Alzheimer’s disease in patients. In a study published in PLOS ONE, the team described using deep learning Read More
Source – https://www.aiin.healthcare/ Researchers have demonstrated that deep learning models can help neurologists interpret epileptic episodes during and between seizures from relatively few scalp electroencephalography (EEG) readings. The best of the models proved out the concept under review: an automated annotation tool needing 142 times less EEG data than human experts would need to comb Read More
Source – https://blocksandfiles.com/ HPE is to sell the HPE Ezemeral Data Fabric on a standalone basis and it has opened a marketplace for cloud-native software running on this AI-ML focused service. Ezmeral Data Fabric was previously known as the MapR Data Platform for data lakes. It is an exabyte-scale, repository for streaming and file data, Read More
Source – https://www.analyticsinsight.net/ The new algorithm is an effective machine learning tool that is capable of extracting the desired information Big data, evidently, is too large to be processed using conventional data processing tools and techniques. Majority of the information systems produce data in huge quantities that poses difficulties to measure. This complex Big data that organizations Read More
Source – https://www.theserverside.com/ Java devs looking to explore or work in data science may need another language up their sleeves. Python and R are common Java alternatives for data science. Java can handle large workloads, and even if it hits limitations, peripheral JVM languages such as Scala and Kotlin can pick up the slack. But Read More
Source – https://www.geospatialworld.net/ There has been substantial progress in building a Machine Learning (ML) methodology for Earth Observation (EO) data analysis; however, experts worldwide face many challenges while using ML algorithms on EO data. For ML models to work, two processes work simultaneously. First, tons of data is captured from EO satellites, which is processed Read More
Source – https://www.analyticsinsight.net/ As the need for machine learning increases, data scientists are on the spree to become experts in the technology The concept of machine learning and the increasing demand for data scientists has been around for a while. But the ability to apply machine learning algorithms and mathematical calculation to big data is gathering momentum only recently. Read More
Source – https://www.analyticsinsight.net/making-data-center-smart-how-artificial-intelligence-helps/ As data centers become enabler to a nation’s economy, employing artificial intelligence can yield higher benefits Artificial Intelligence (AI) plays a pivotal role in capturing, processing, and analyzing data at much faster rate than ever, today! It is also becoming more efficient and useful to incorporate data elements and managing data centers. With data becoming Read More
Source – https://aithority.com/ Data science interviews dropped by 15% in 2020 while data engineering interviews increased by 40% Data science used to be the sexiest job of the 21st century. Now, the pandemic has cooled it down dramatically. The growth slowed down in 2020 after previously growing by 80% year over year in a new study by Interview Query. Read More
Source – https://www.analyticsinsight.net/ Looking back over the past year, it’s clear that for many organisations, regardless of size or industry, technology was invoked to survive the crisis. Much has been reported about the rapid migration to the cloud and the move to support remote working but according to James Don-Carolis, Managing Director of TrueCue, data, and the value Read More
Source: which-50.com Technology research group Gartner has identified its top 10 data and analytics (D&A) technology trends to help organisations prepare for a post-pandemic reset. According to Rita Sallam, distinguished research vice president at Gartner, “To innovate their way beyond COVID-19, data and analytics leaders require an ever-increasing speed and scale of analysis in terms of Read More
Source: itnews.com.au Optus mobile subscriber data was used by all levels of government to understand changes in behaviour that corresponded to the COVID-19 lockdowns. The data also proved to be a useful measure of foot traffic during the bushfire crisis last Summer, with the federal-run Tourism Research Australia using it “in preparation for discussions around Read More
Source: Past psychology studies suggest that the human gaze can encode the intentions of humans as they perform everyday tasks, such as making a sandwich or a hot beverage. Similarly, human gaze has been found to enhance the performance of imitation learning methods, which allow robots to learn how to complete tasks by imitating human Read More
Source: intelligentcio.com Nedbank Insurance, part of the Nedbank Group that employs over 31,000 people across South Africa, has utilised Machine Learning and Design Thinking to help speed up how it processes emails. Challenge Today, every business has an email address. And if you’re a financial services organisation with many business sections and over a million Read More
Source: channels.theinnovationenterprise.com Data is the foundation of any machine learning model. Indeed, there are similarities between the data required for machine learning and any other data-centric project. In all kinds of projects, senior executives need to undertake proper levels of diligence to ensure that the data is reliable, consistent, and comprehensive. However, some data concerns Read More
Source: roboticsbusinessreview.com Medical technology leader Medtronic PLC announced today that it has acquired Digital Surgery, a privately-held pioneer in surgical artificial intelligence, data and analytics, and digital education and training. Medtronic said the purchase will strengthen its robot-assisted surgical platform and its broader portfolio. Terms of the acquisition were not disclosed. Dublin, Ireland-based Medtronic has Read More