Source: hitinfrastructure.com August 21, 2019 – Children’s Hospital of Orange County (CHOC) is using the AWS cloud platform with its existing Cerner electronic health record (EHR) to give it the computing power to perform advanced data science research, explained William Feaster, M.D., CHOC’s chief health information officer. AWS gives CHOC access “to an elastic compute environment where we Read More
Tag: data science
Source: news.efinancialcareers.com Sending your resume to a firm through a generic HR inbox tends not to be the best way to get noticed, particularly if there isn’t a current opening that’s a perfect fit for your background. It’s therefore in your best interest to know the person who acts as the gatekeeper one step beyond Read More
Source: searchenterpriseai.techtarget.com Emerging about a decade ago from roots in statistical modeling and data analysis, data scientists are employed to help companies adopt data-centric approaches to their organizations. Since data scientists have a comprehensive understanding of data, they work well in moving organizations towards machine learning, deep learning and AI adoption because they generally have Read More
Source: indiaeducationdiary.in Gandhinagar: Indian Institute of Technology Gandhinagar (IITGN) organised the eighth Roddam Narasimha Distinguished Lecture on August 5, 2019, on the subject ‘Data Science: The Good, the Bad and the Ugly’. Prof Jayant R Haritsa, a data Scientist and Professor in the Department of Computational & Data Sciences at the Indian Institute of Science, Read More
Source: dataversity.net According to a recent press release, “GreenSky, Inc., a leading financial technology company Powering Commerce at the Point of Sale®, today announced the launch of a newly established Data Science division to boost the Company’s consumer protection program. The company is investing in artificial intelligence and machine learning to more accurately identify suspicious activity, Read More
Source: towardsdatascience.com In recent media reports, the threat of climate change has supposedly become so great that it is said to be capable of wiping out all of humanity, a “climapocalypse” — the data do not support this claim. As a practicing climatologist, I have personally handled and analyzed datasets with large time spans (over Read More
Source: analyticsinsight.net The multinational professional services company, Accenture may expand its data science team in India to develop an Asia-Pacific (APAC) hub with more than 500-membered team based in Gurugram. Anindya Basu, the country managing director of Accenture India said that the proposal is still being discussed. Basu is also a member of APAC management Read More
Source: techrepublic.com Python’s unstoppable rise is widely recognized , with some predicting it will soon become the most popular programming language in the world. But while millions of people use Python each day, and there’s little sign of the exponential growth in users tailing off, there are doubts about the sustainability of that growth. The recent Python Read More
Source: finextra.com Data science company DataRobot has raised a Series E funding round of an estimated $200 million to develop its artificial intelligence software and automated machine learning, sources have revealed to Xconomy. News of the funding, led by the California-based firm Sapphire Ventures, spread via a blog linked to unicorn investment index run by Read More
Source: analyticsinsight.net Methodologies of data science, in some way, come from machine learning, and both are often associated with mathematics, statistics, algorithms and data wrangling. Data scientists make data models that need to run in production environments. And most DevOps practices are germane to production-oriented data science applications, but these practices are typically unheeded in Read More
Source: techwireasia.com DATA has emerged as one of the most valuable assets for companies across many industries, and investing in data science definitely promises lucrative returns. Businesses have figured out many use cases for data science and data analytics, and address many modern business challenges. Deployed properly, data could be used for demand forecasting, targeting Read More
Source: itproportal.com Data Scientist’ was recently named the most sought-after role from a recruitment perspective in the US according to figures from Glassdoor, and it’s been at the top spot for the last four years. Businesses are increasingly looking at those in this role to deliver business growth, and, in turn they are seen as Read More
Source:- hbs.edu After graduating at the University of Pennsylvania in 2012, Chloe Ho (MBA 2019) began her post-undergrad career in New York working for Morgan Stanley. While there, she served in a strategy and analytics role, working on projects for sales and trading management. However, after four years on the job, she realized that there was Read More
Source:- emerj.com Have you ever read a blog post or a whitepaper and heard the terms “data science” or “predictive analytics” used in ways that aren’t quite right? As it turns out, terms like these are often used incorrectly, but by the end of this episode of the AI in Industry podcast, you’ll have greater clarity Read More
Source:- themandarin.com.au Data science is increasingly important across both Federal and State Government sectors, especially with the implementation of machine learning. Machine learning is helping these sectors organise, program and analyse data, by automating processes and freeing up human resources that can be better applied in other areas. A more specific subset of artificial intelligence (AI), Read More
Source:- dataconomy.com Why Understanding the Key Differences Between Data Science and Software Development Matters As Data Science becomes a critical value driver for organizations of all sizes, business leaders who depend on both Data Science and Software Development teams need to know how the two differ and how they should work together. Although there are lots Read More
Source:- insidebigdata.com As data has transitioned from “nice to have” to a full-blown commodity, we’ve seen demand for data science and analytics (DSA) talent soar — along with opportunities for job-seekers and companies alike. This is such a critical moment for data science, in fact, that industries across the board are bracing for talent shortages. Here’s Read More
Source:- analyticsindiamag.com It is no surprise that data science today has become the backbone of several organisations across the globe. From the core to the edge, a lot of organisational decisions are based on data science. With time the job role of a data scientist is just becoming wider and talks about T-shaped data scientists is Read More
Source: forbes.com. Data science and artificial intelligence are no longer buzz words in the biomedical research community. Physicians and other caregivers are increasingly being encouraged by hospitals and health insurance companies to utilize low-resolution dense biometric data captured using wearable medical devices. However classical healthcare heavily relies on high accuracy sparse datasets, i.e. patients are expected to get a thorough Read More
Source:- irishtechnews.ie. The tech world is one of the spaces that experiences the fastest changes and developments. This is because, at its core, it needs change and optimization to survive and progress. In the end, it has become a dynamic and vibrant industry full of innovative solutions to problems. The internet has literally changed our lives Read More
Source:- ciodive.com Large, successful companies are increasingly embracing the value of the data science function and its potential to deliver powerful insights, better outcomes, and personalized customer experiences. Growth in the application of data science is evident in new hiring trends, increased spending in areas like technology and data science, as well as an overall cultural Read More
Source- customerthink.com Machine learning (ML) algorithms are changing nearly every industry. They’re increasing productivity, boosting sales and helping us make more informed decisions. Many organizations are either already leveraging the power of ML, or have it laid out in their roadmap as an opportunity worth pursuing. Trouble is, ML is complex and you might ask Read More
Source- emarketer.com Although many marketers rely on simplistic or outdated attribution models, improvements are being made. We forecast that 58.3% of US companies will use multichannel attribution for their digital marketing efforts in 2019, up from 48.6% in 2017. Multichannel attribution assigns marketing credit to more than one marketing channel or touchpoint. It also provides more Read More
Source- information-age.com We’ve all heard the dire predictions about robots coming to steal our jobs. As technologies such as machine learning, AI and automation advance by the day, workplaces everywhere are being transformed; naturally, some people fear that they will become redundant — depending on their job, some may be right. In this age of AI and Read More
Source- tdwi.org Long before data science became “a thing,” I trained as a “real” scientist, researching arcane and less-than-world-changing topics in physical chemistry. At the heart of that work was data, collected mostly manually during late-night experimental runs in a 1970s lab. That data I punched onto cards for analysis — simplistic by today’s standards — Read More
Source- pcworld.idg.com.au Developing data science skills is one of the best things that you can do for your career. Not only does data science open global career opportunities to you – it’s a skill that businesses use in every field across the world – but it also equips you with the capabilities that boards and CEOs Read More
Source- penews.com Private-equity firms have long relied on human connections to find deals, sending partners to meet thousands of executives every year and turning to their professional networks for investment ideas. But they are increasingly applying data science and algorithms to drive their investments. They’re using software to scrutinise companies’ strengths and weaknesses to spot Read More
Source-itproportal.com Data science can be applied to the hiring process to help human resources work smarter — and be more successful in finding those elusive candidates. Today’s unemployment rate in the U.S. stands at 3.9 per cent. Talent managers, recruiters, and human resource professionals understand that the realities of the current labour market require using Read More
Source – healthcareitnews.com Pharmaceutical company Takeda and research and development data science institute ConvergeHEALTH by Deloitte have partnered to study patient datasets to better understand the etiology, progression and most effective therapies for difficult diseases. Using insurance claims information including diagnoses, medical procedures and prescriptions, they ran linear and non-linear models on disease datasets like Read More
Source – forbes.com You may have heard about deep learning and felt like it was an area of data science that is incredibly intimidating. How could you possibly get machines to learn like humans? And, an even scarier notion for some, why would we want machines to exhibit human-like behavior? Here, we look at 10 examples Read More