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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

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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

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Source: hotsr.com The University of Arkansas for Medical Sciences says it has received $1.9 million from the National Science Foundation to help the state establish a cyberinfrastructure platform that will improve on Arkansas’ existing data science strengths and competitiveness. The money is part of a five-year $20 million grant from NSF’s Established Program to Stimulate Read More

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Source: helpnetsecurity.com With businesses from various industries tightening their belt due to pandemic-induced economic challenges, investing in data science applications and building out their teams may be taking a backseat. While the primary focus must be on preserving cash flow, what many companies don’t realize is the power evolving data science applications have on business Read More

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Source: analyticsinsight.net Today as the competition is at surge among tech organizations, agile principles and priorities are employed for greater productivity. Most of them could be leveraged for data science (DS) projects. Moreover, data scientists do not know how to schedule the project because it is impossible to determine a specific timeline for the type of “research” Read More

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Source:analyticsinsight.net The field of Data Science today has evolved much more and become the most demanded domain across industries. This field of study involves scientific methods, algorithms, processes, and systems to pull out meaningful insights from both structured and unstructured data for effective decision making and predictions. As a multi-disciplinary domain, data science has enabled Read More

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Source: expresscomputer.in Data science is an industry purely driven by technology, and has gained inexplicable traction across the globe in recent times. The data science sector’s market size is expected to reach a whopping USD 140.9 billion by 2024. Businesses are looking at leveraging data to increase efficiency. Data science and analytics have flourished into Read More

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Source: expresscomputer.in Data Science continues to evolve as the most in-demand career today with India and the United States dominating the industry with the highest number of job openings. An estimate by the U.S Bureau of Labor Statistics states the availability of 11.5 million jobs in the Data Science and Analytics industry by 2026. Currently, Read More

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Source: analyticsinsight.net Having knowledge is not enough to survive, for survival, and for assured victory, one needs to test his/her capabilities. To test wisdom and capabilities, competitions are extremely beneficial. In the case of data science, data scientists mostly work theoretically and get rare chance to experiment with real-world data themselves. With data science competitions Read More

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Source: sloanreview.mit.edu The outbreak of the COVID-19 pandemic is having a dramatic negative impact on economies in the U.S. and worldwide, and unemployment rates are soaring. Given the economic disruptions, it seems likely that many countries in the global economy will experience a recession. Organizations are beginning to grapple with how the economic slowdown will influence Read More

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Source: analyticsinsight.net Intelligent analytics offers a classic approach to discover the hidden intelligence behind historical and real-time data. This myriad suite of analytical techniques and algorithms can parse mind-boggling amounts of data generated in real-time to discover the hidden gems that are often missed or go undetected by traditional statistical methods. The methodology of mixing Read More

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Source: nextgov.com Building a quality artificial intelligence system takes a diverse team made up of people from various ethnic, geographic and professional backgrounds, including programmers, data scientists and ethicists. But when putting that team together, who is the best person to lead it? Advancements in machine learning and AI are enabling more decisions to be Read More

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Source: qrius.com The data science field is facing a challenging paradox. Big data is changing our world in many wonderful ways. Companies are offering very lucrative compensation packages to entice qualified data scientists to join their teams.  There are a number of opportunities for data developers. They are needed with helm repositoryand other Docker development projects. Read More

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Source: itweb.co.za To facilitate human capacity-building in data science and computational thinking in SA, the continent and abroad, Stellenbosch University (SU) has established the African Data Science Academy (ADSA). The academy will develop and present open courses offered by SU’s School for Data Science and Computational Thinking, as well as bespoke courses developed for industry and academic partners. Professor Kanshukan Read More

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Source: telanganatoday.com Hyderabad: Emerging and in-demand areas of learning at engineering level have started to take over from the traditionally popular courses such as Electrical and Electronics Engineering (EEE), Mechanical Engineering and Civil engineering. Course such as Artificial Intelligence (AI), Internet of Things (IoT) and Data Science have started to take precedence which can be Read More

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Source: analyticsinsight.net Today, with the increasing volume of data day by day, processing and analysis of that data have become significant. This is where data scientists come into the scenario, determining the right data sets and variables and deriving actionable insights from that. Data scientists are analytical data experts and their roles can vary organization to organization Read More

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Artificial Intelligence