Source: aithority.com OmniSci, the pioneer in accelerated analytics, and Z by HP announced a collaboration to bring the power of advanced data analytics to the HP Z8, the world’s most powerful workstation. As a preloaded component in the Z8 Workstation Evaluation Program, OmniSci’s accelerated analytics platform gives data scientists and analysts the ability to directly interrogate massive Read More
Tag: data scientists
Source: searchbusinessanalytics.techtarget.com Data scientists are now part of the gig culture movement, but should you hire a freelancer instead of a full-time data scientist? If you lack data science talent or your existing data science team needs expertise it lacks, such as computer vision or natural language processing, perhaps you should consider a contract hire. Read More
Source: pcquest.com Data is the new oil. While there is a huge amount of data being generated across industries and applications, the hard part is manipulating and making sense of it. Every organization needs someone to analyse this data, to be able to make better decisions—and this is where a data scientist comes into the Read More
Source: aithority.com Data Science has quickly become a buzzword and popular career course in the last few years but the ideas that make up this field have been around for almost 3 centuries. According to John Foreman, VP of Product Management at MailChimp “Data Scientists are kind of like the new Renaissance folks, because Data Science is inherently multidisciplinary.” The Read More
Source: insights.dice.com Source: Your typical data scientist works with various forms of data to discover insights and knowledge. Then they develop products and services that support optimal decision-making. The data can be structured (coming from a pre-defined data model and residing in relational databases) or unstructured (having no pre-defined format, such as text files or user-generated content). Read More
Source: analyticsinsight.net Data Science is one of the hot and progressive fields of technological applications in current times. Rightfully so, it is termed as one of the sexiest jobs of the 21st century. According to the University of Berkeley, the technology is most likely to continuously evolve as one of the most promising and in-demand career Read More
Source: siliconangle.com It’s no secret that the representation of women in the technology workforce is lower than it should be. For predictive analytics professionals, a Burch Works study showed that women comprised 26% of the workforce in 2019, an increase over the previous year of only 2%. Microsoft Corp. is taking its own steps to change that. Through active participation Read More
Source: Today, with the tremendous growth of data, businesses need an effective team of data scientists to get the real and actionable value of their data. Without the expertise of how to convert cutting-edge technology into significant insights, big data is nothing. Most data scientists have advanced knowledge and training in statistics, math, and computer Read More
Source: indiaeducationdiary.in New Delhi: Digital loans and savings company Shubh Loans has announced the appointment of Dr. Venkatesh Madyastha as the Chief Data Scientist. Venkatesh is a data scientist with 13+ years of experience in research and data analysis. Before joining Shubh Loans, he was a principal data scientist with the data science R&D team Read More
Source: guardian.ng With the world fast-evolving, and nations gradually becoming less oil dependent, experts have canvassed the importance of data mining for business and economic growth in Nigeria. Data mining is a process used to extract usable data from a larger set of any raw data for information sharing, among others. Speaking in Lagos, at Read More
Source: analyticsinsight.ne Without the help of experts, it is impossible to churn out the appropriate insights from the given data across any organization. The interdisciplinary field of data science is growing with great relevance and so do data scientists. They deal with processes and systems to extract knowledge or insights from large amounts of data. It was Read More
Source: techiexpert.com The big data space is in constant growth. Data creation continues to expand its role as decision making and business operations excel. With innovation and technology on the rise, it becomes a challenge for companies to choose the right framework resulting to gain benefit using big data. The idea behind creating a framework Read More
Source: themerkle.com In just one-year job listings for “data scientist” increased by an incredible 15,000% between 2011 and 2012. The need for data scientists is expected to continue to grow as more and more data is created each day. In 2013 IBM reported that between 2011-2013 90% of the world’s data had been created just Read More
Source: techcrunch.com It’s one thing to develop a working machine learning model, it’s another to put it to work in an application. Cortex Labs is an early-stage startup with some open-source tooling designed to help data scientists take that last step. The company’s founders were students at Berkeley when they observed that one of the Read More
Source: standard.co.uk Data, data, data. As our lives get evermore entwined into the world of digital, so the importance of data skyrockets: the importance of acquiring it, storing it and – crucially – interpreting it. In fact, last year reports abound that so important is data to us now, it has become a more valuable resource than oil… And Read More
Source: diginomica.com The Department for Work and Pensions (DPW) is the UK government’s largest department and supports over 22 million people every day. It is currently hiring for a number of senior digital roles, including two lead data scientists, as well as a deputy director of Fraud, Error and Debt. DWP has a number of complex technology Read More
Source:-analyticsindiamag.com A huge amount of the data collected today is made up of images and videos. That is why effective image processing for translating and obtaining information is crucial for businesses. Data scientists usually preprocess the images before feeding it to machine learning models to achieve desired results. Consequently, it is paramount to understand the Read More
Source: supplychaindigital.com Watson is IBM’s suite of artificial intelligence (AI) services, applications and tools. Watson aims to help businesses unlock the value of data in new ways and remove repetitive tasks from employees to shift the focus to high-value work. This is in addition to allowing companies to predict and shape business outcomes in order to rethink Read More
Source: devops.com Part of the failings and shortcomings of AI concern the ramp or process for getting there. For an AI project to succeed, it is critical to have your data fully deployed, available, structured and cleaned. You also must have some algorithms (ML/deep learning/natural language processing) ready to pull the insights and focused data, Read More
Source: appdevelopermagazine.com Foster City-based Aible has launched Aible Advanced, its new solution for data scientists and developers that automates the machine learning process from data-to-impact. Aible Advanced empowers data scientists with a platform that advances beyond legacy semi-AutoML solutions such as DataRobot to enable data scientists to achieve business impact quickly and efficiently. Aible Advanced automates all Read More
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: 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:-analyticsindiamag.com Big data analysts need the right tools which empower them to analyse and make robust decisions in an organisation. In this article, Analytics India Magazine lists down 15 top analytical tools that all persons who work with Big Data must use in 2019: 1| Apache Spark Apache Spark is a fast and general-purpose cluster computing system which provides Read More
Source-techrepublic.com Data science jobs are among the most coveted careers in America, taking the no. 1 spot on Glassdoor’s Best Jobs in America list for the past three years, and boasting high average salaries for those with the right skill set. These professionals report high job satisfaction as well, according to a recent report from Figure Eight: 89% Read More
Source – datanami.com achine learning (ML) pipelines consist of several steps to train a model, but the term ‘pipeline’ is misleading as it implies a one-way flow of data. Instead, machine learning pipelines are cyclical and iterative as every step is repeated to continuously improve the accuracy of the model and achieve a successful algorithm. To 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 – networksasia.net Artificial intelligence is the buzzword for 2018 and it is being used everywhere and often to describe fairly mundane automation and analytics-driven processes. One of the earliest adoptions has been speech to text, for example in call centres. AI enables the speech of both the call centre operator and the customer to be Read More
Source – hcanews.com When a patient is in the intensive care unit (ICU), every second counts. And the decisions healthcare professionals make can have life-or-death consequences. Gal Salomon, MBA, is intimately involved in those decisions, working hard each day to ensure patients get the right treatment at the right time, every time. But Salomon is not Read More
Source – businessworld.in Throughout 2017 we saw how the enterprises have started taking Artificial Intelligence(AI) seriously, but even so, they are still yet to explore how to use it in their strategy activities and campaigns. This is eventually changing in 2018 as most of the enterprises have started taking steps to make AI a must-have Read More
Source – yourstory.com More than 75 percent of organisations are into Big Data processing and putting those insights into business use. But, data scientists might be in short supply. Big Data is big. Huge, in fact. It is the hottest segment in information technology and according to IDC, Big Data revenues are estimated to cross $187 billion Read More