Sentences with phrase «data analytic systems»

With more real estate information readily available through data analytic systems, now more than ever, it's paramount to make these phone calls and position yourself as the destination brokerage.

The researchers have discovered and proved stochastic separation theorems which provide tools for correction of the large intelligent data analytic systems.

It heavily leverages sensors, beacons and microprocessors, with storage and other services provided in the cloud, while also measuring the environment and connecting with big data analytics systems.

It relies on a unique data analytics system to offer great rates to its customers.

Washington, D.C. — Carnegie Science announces the launch of the Carnegie Airborne Observatory - 3 (CAO - 3), the most scientifically advanced aircraft - based mapping and data analytics system in civil...

LinkedIn has developed a new real - time data analytics system dubbed Pinot, that the social network uses to develop various data - intensive capabilities across its huge infrastructure.

Not exact matches

For now, however, HPE seems to want to boost its data analytics business as well as selling heavy duty computing systems through this acquisition.

«We use high - performance transactions systems, complex rendering and object caching, workflow and queuing systems, business intelligence and data analytics, machine learning and pattern recognition, neural networks and probabilistic decision making, and a wide variety of other techniques,» founder and CEO Jeff Bezos famously noted in a 2010 letter to shareholders.

Data - driven recruiting systems screen applicants and use people analytics to identify skills and personality traits that signal a strong fit.

In fact, some AT software firms offer free systems capable of basic data processing, applicant communication, and simple recruitment analytics.

Data analytics firm Scienaptic Systems Inc. has received an undisclosed amount of funding from Genpact founder and former Nasscom...

Leland Miller, an expert on the Chinese financial system and president of data analytics firm, China Beige Book International, visited Global Finance to discuss China's official economic statistics and the financial implications of the upcoming political transition.

Bhargava was previously associated with Goldman Sachs» AppBank Engineering division, building systems for streaming big data and predictive analytics.

Prior to joining Zillow, Stan spent five years at Expedia where he ran the advanced analytics team, which applied innovative econometric and data mining approaches to internal business problems, building systems for personalization, pricing, forecasting, and fraud detection.

John Sculley has domain expertise in data science innovation, predictive analytics, consumer brand building, supply chain systems, and growth equity investing.

Mr. Sculley's domain expertise includes data science innovation, predictive analytics, consumer brand building, supply chain systems, and growth equity investing.

Pyramid 2018 is a tier one, enterprise - grade Analytics Operating System that scales from single - user self - service analytics to thousand - user centralized deployments — covering simple - but - effective data visualizations to advanced machine learning capaAnalytics Operating System that scales from single - user self - service analytics to thousand - user centralized deployments — covering simple - but - effective data visualizations to advanced machine learning capaanalytics to thousand - user centralized deployments — covering simple - but - effective data visualizations to advanced machine learning capabilities.

Bala is passionate about leveraging data and analytics to drive talent decisions in GE, and is responsible for creating intuitive and intelligent systems that offer «Personalized» learning, career and connection recommendations to employees.

gradient A.I. is an advanced analytics and A.I. platform that uncovers hidden patterns in big data to deliver a daily decision support system (DSS) for insurers, self - insurers, and PEOs.

[3] Bloomberg developed and built his own computerized system to provide real - time market data, financial calculations and other financial analytics to Wall Street firms.

Furthermore, if you don't have this data connected to your customer relationship management (CRM) system, you're also missing out on some extremely valuable closed - loop analytics that can truly report on the ROI of each individual marketing channel — and your marketing strategy as a whole.

Today, it is the only solution available that automates the complete closed - loop mobile engagement lifecycle from attribution to analytics, through to connectivity to back - end customer data systems.

Join three of today's most knowledgeable experts to hear about how health technology systems are influencing well - being through data collection, analytics and improved services, in what promises to be a provocative and productive conversation.

He is leading the Information and Communication Systems Ltd -LRB-» «SIIS»») company offering a wide range of services with an emphasis on modern comprehensive data processing and web analytics since 2009.

«Through the intense focus our 285,000 colleagues bring to helping people live healthier lives and helping make the health system work better for everyone, we have grown to serve more people in more ways than ever, including through innovative uses of advanced technologies, data analytics, and modern clinical approaches that improve quality, lower cost and advance consumer and care provider satisfaction,» David S. Wichmann, CEO of UnitedHealth Group, said in a conference call.

The Hexoskin Connected Health Platform is an end - to - end system that offers advanced Body - Worn Sensors, Technology Solutions, and Data Analytics.

I'm a Senior majoring in Information Systems with a minor in data analytics.

• Global market opportunities that align with the region's expertise, particularly in unmanned aerial systems, precision sensing and data analytics, and agricultural business.

«Data contained in systems available to the Attorney General, including proprietary analytics used on IRS 990 filings, have been used to identify charities appropriate for regulatory intervention, to help ensure organizations are in compliance with the law.»

Newly - elected New York City Council member Ben Kallos» constituent event Thursday afternoon was unusual in several respects: there were some connectivity problems, and the issues discussed ranged from a proposed municipal ID system and the Comcast / Time Warner merger to proprietary software used by the City Council and data analytics.

«Our goal was to highlight some of the deficiencies in «understanding» that arise when applying contemporary analytic techniques to big - data datasets of computing systems.»

As biological data is becoming more abundant and available, data - driven analytics methods and high - performance computing systems are becoming more useful in suggesting novel hypotheses for life sciences experiments and discovery.

Authors compared the prevalence of ACEs among individuals with and without a history of military service using data from a behavioral risk surveillance system, along with telephone interviews, for an analytic sample of more than 60,000 people.

Alain Destexhe, Research Director of Unité de Neurosciences CNRS, Gif - sur - Yvette, France Bruno Weber, Professor of Multimodal Experimental Imaging, Universitaet Zuerich, Switzerland Carmen Gruber Traub, Fraunhofer, Germany Costas Kiparissides, Certh, Greece Cyril Poupon, Head of the Nuclear Magnetic Resonance Imaging and Spectroscopy unit of NeuroSpin, University Paris Saclay, Gif - sur - Yvette, France David Boas, Professor of Radiology at Massachusetts General Hospital, Harvard Medical School, University of Pennsylvania Hanchuan Peng, Associate Investigator at Allen Brain Institute, Seattle, US Huib Manswelder, Head of Department of Integrative Neurophysiology Center for Neurogenomics and Cognitive Research, VU University, Amsterdam Jan G. Bjaalie, Head of Neuroinformatics division, Institute of Basic Medical Sciences, University of Oslo, Norway Jean - François Mangin, Research Director Neuroimaging at CEA, Gif - sur - Yvette, France Jordi Mones, Institut de la Macula y la Retina, Barcelona, Spain Jurgen Popp, Scientific Director of the Leibniz Institute of Photonic Technology, Jena, Germany Katharina Zimmermann, Hochshule, Germany Katrin Amunts, Director of the Institute Structural and functional organisation of the brain, Forschungszentrum Juelich, Germany Leslie M. Loew, Professor at University of Connecticut Health Center, Connecticut, US Marc - Oliver Gewaltig, Section Manager of Neurorobotics, Simulation Neuroscience Division - Ecole Polytechnique fédérale de Lausanne (EPFL), Geneve, Switzerland Markus Axer, Head of Fiber architecture group, Institute of Neuroscience and Medicine (INM - 1) at Forschungszentrum Juelich, Germany Mickey Scheinowitz, Head of Regenerative Therapy Department of Biomedical Engineering and Neufeld Cardiac Research Institute, Tel - Aviv University, Israel Pablo Loza, Institute of Photonic Sciences, Castelldefels, Spain Patrick Hof, Mount Sinai Hospital, New York, US Paul Tiesinga, Professor at Faculty of Science, Radboud University, Nijmegen, Netherlands Silvestro Micera, Director of the Translational Neural Engineering (TNE) Laboratory, and Associate Professor at the EPFL School of Engineering and the Centre for Neuroprosthetics Timo Dicksheid, Group Leader of Big Data Analytics, Institute Structural and functional organisation of the brain, Forschungszentrum Juelich, Germany Trygve Leergaard, Professor of Neural Systems, Institute of Basic Medical Sciences, University of Oslo, Norway Viktor Jirsa, Director of the Institute de Neurosciences des Systèmes and Director of Research at the CNRS, Marseille, France

«By developing and demonstrating rapid analysis techniques, such as data mining, graph analytics and machine learning, together with workflows that will facilitate productive usage on our systems for applications, we will pave the way for more and more science communities to use supercomputers for their big data challenges in the future,» said Venkat Vishwanath, ALCF Data Sciences Group Ldata mining, graph analytics and machine learning, together with workflows that will facilitate productive usage on our systems for applications, we will pave the way for more and more science communities to use supercomputers for their big data challenges in the future,» said Venkat Vishwanath, ALCF Data Sciences Group Ldata challenges in the future,» said Venkat Vishwanath, ALCF Data Sciences Group LData Sciences Group Lead.

Redmond, WA About Blog Microsoft's official Internet of Things (IoT) blog is the place to discover how businesses are unleashing the potential of IoT by harnessing Microsoft's cloud services, business intelligence and data analytics tools, and operating systems.

More importantly on the back - end, decisions about the underlying technology architecture and standards for data / content transport will also have implications for both the vendor marketplace and integration of all sorts of other data systems (reporting, analytics, student information systems, formative assessments, content repositories, learning management systems, etc.).

With a learning management system like CourseMill ® LMS V7 with advanced learning analytics, you can get the data you need to make sure your performance support materials being used effectively.

In this way, learning analytics capitalizes on the vast quantities of data that your Learning Management System is already collecting to find patterns that can be used to improve learning.

Businesses need log analytics for a detailed monitoring and for getting alert with the infrastructure which can handle data security and integrity throughout their systems.

They talked easily about data warehousing, systems integration, real - time field population, and rapid analytics.

With Practi mobile learning, course authors are able to view real time, data - driven learning analytics and reporting that take them beyond the traditional Learning Management Systems and help them connect training performance to essential business results.

With the integration data analytics tools in Learning Management Systems and big data analytics tools in blended classrooms, teachers can easily leverage classroom data to offer truly adaptive and personalized learning in a blended classroom.

«With this program, we're providing system leaders with the analytic talent they need to use their own data to learn what's working and what's not.»

Leverage our expertise in problem solving, strategic planning, education analytics, and data leadership for your school system, organization, department, or team

(March 30, 2016)-- School districts» use of technologies such as digital literacy training for parents, student - run technology support centers, robotic systems that record classroom teaching and learning, and data analytics earned top rankings in the Center for Digital Education's and National School Boards Association's annual Digital School Districts Survey.

Modern Learning Management Systems have built - in evaluation mechanisms, so - called learning analytics, to indicate the learning habits of employees based on the evaluation of complex amounts of data.

In addition, a national or regional network could develop and use a universal enterprise resource planning (ERP) system, which would offer cost savings, operational efficiencies, and the power of big data for analytics to the institutions and convenience and improved services for students.

e-Learning analytics solutions leverage the student learning data produced by next - generation learning management systems to allow education institutions to monitor, evaluate, and predict student performance.

In previous roles he has consulted on strategic planning and analytics projects for global foundations and nonprofit organizations, conducted research on nonprofit measurement and evaluation, and developed systems to support data - driven instruction in K - 12 schools.