Overview Machine learning is a special type of algorithm which can learn from data and make predictions. As we collect and get more data from various sources, the predictions can be made more appropriately. However, on the other hand, there…
Lielo datu ietekme uz medicīnu un farmācijas nozari,en
Pārskats mūsdienu pasaulē,,en,medikamentos ir pieejams milzīgs informācijas apjoms,,en,Šos datus par medikamentiem var izmantot, lai izveidotu uzlabotus un efektīvus atsevišķu pacientu labklājības profilus,,en,pie šāda organizēta pacienta profila var pierast,,en, a huge volume of information is available in medication. This medication data can be utilized to construct improved and efficient well being profiles of individual patients. And, such an organized patient profile can be used to…
How to Efficiently Act Upon Your Business Data?
Pārskats Kad jāveic lieli uzlabojumi jūsu biznesā,,en,jums jābūt modram,,en,Viens no labākajiem veidiem, kā to izdarīt, ir lielo datu izmantošana ikdienas darbībās,,en,Tas ir,,en, you need to be alert. One of the best ways to do so is to incorporate the use of big data into your day to day operations. This is…
Artificial Intelligence Is Turning More Human Than Humans
Pārskats: As the years have passed, Artificial Intelligence has seeped in our lives to a great extent. As the advancements grow from new feeds to efficiency tools, the distance between what is human-made and machine-made is getting practically undetectable, bringing…
Data virtualization and complex large volume of data
Pārskats: The data virtualization industry has been growing fast, something that experts think is going to last. As data becomes one of the most important assets in business, corporations are looking for ways to get the best out of it.…
Big Data and Education Industry
Pārskats: Big data has been driving revolutionary changes in education. There hardly remains an area in education not impacted by big data. You can notice the changes in the ways educational institutions are governed, course quality is managed and student…
Big Data characteristics and pain points
Overview Big data is based on three most important characteristics, known as volume, velocity and veracity. It comes in different forms and structure. Big data analytics is having significant impact in business decision. But it comes with some pain points.…
Artificial intelligence and Aviation Industry
Overview The aviation industry, especially the commercial aviation sector, is constantly striving to improve the way it works and customer satisfaction. To that end, it has been using AI. Though AI in the aviation industry is still in the nascent…
Federated Learning – What is it?
Overview Machine learning as a concept is nothing new. You come across various examples of machine learning in your day to day lives. Recommendations provided by an ecommerce website is, piemēram, an outcome of machine learning. Google has been…
Use of Big Data in Smart City Projects
Pārskats: Ir bijis daudz aktivitātes ap jēdzienu Smart City kādu laiku. Pilsētas tiek identificēts kā nākotnes viedo pilsētu. Teorētiski vismaz, smart cities can fundamentally change our lives at many levels such as…
Influence of Predictive Analytics on Medical Industry
Pārskats: Predictive Analytics, it is being said, is going to redefine how healthcare is delivered. It will predict occurrences of critical illnesses and probability of readmissions in the future. Other sectors such as food and beverages, publications and entertainment have…
Graph Database and Data Driven Applications
Overview Modern-day data-driven applications are largely dependent on relevant insights derived from the enormous volumes of data they handle every day. To gain better insights every time, the applications need to be able to send complex queries and the database…
Apache Drill – A Scheme Free SQL Query Engine
Apacheドリル– Scheme無料SQLクエリエンジンの概要,,en,ビッグデータ分析には、ビッグデータの実際の価値が含まれています,,en,これらの分析には、ビッグデータソリューションを実装するための統計的および技術的な知識が必要です,,en,つまり、あなたが,,en: Big data analytics contains the actual value of big data. bet, these analytics require statistical and technical knowledge to implement any big data solution. So the assumption was that you…