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.
Not exact matches
Bhargava was previously associated with Goldman Sachs» AppBank Engineering division, building
systems for streaming
big data and predictive
analytics.
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.
«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.»
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 L
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 L
data challenges in the future,» said Venkat Vishwanath, ALCF
Data Sciences Group L
Data Sciences Group Lead.
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.
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.
One recent story we took interest in here at The Attic was the plan for Peking University Law School to partner with cloud - based
big data analytics and AI solutions provider Gridsum to launch a research centre to further examine possibilities for AI in China's legal
system.
In this regard, he deals in such technologies as telecommunications and wireless, analog and RF circuits and
systems, Bluetooth, semiconductors, MEMS, augmented and virtual reality,
big data /
analytics,
data security / encryption, social media, software / firmware, and mechanical and medical devices.
Tags for this Online Resume: Alignment of Business and IT Missions & Strategies,
Analytics, Application Development, Asset Management, Asset Valuations, Best Practices,
Big Data, Business Development, Business Intelligence, Business Process Reengineering, BPR, Business Strategy, Change Management, Cloud Computing, Consultative Sales, Consulting, Cross-Functional Team Leadership, Customer Relationship Management, CRM, Due Diligence, Enterprise Application Integration, EAI, Enterprise Architecture, Enterprise Resource Planning, ERP, Enterprise Software, Financial Analysis, Forecasting, IT Service Management, ITSM, IT Strategy, Investment Analysis, Investment Strategy, Key Performance Indicators, KPI, Knowledge Management, Managed Service Provider, MSP, Mergers and Acquisitions, M&A, Operations, Operational Efficiency, Operational Excellence, Operations Management, Organizational Development, Portfolio Management, Private Equity, Profit and Loss, P&L, Program Management, Project Management, Regulatory Compliance, ROI, Sales, Salesforce, Sales Management, Security - Oriented Architecture, SOA, Staff Development, Staff Management, Supply Chain,
Systems Integration, Training and Development, Training Delivery, Account Management, Client Management, Client Relations, Client Relationship Management, Crisis Communications, Crisis Intervention, Crisis Management, IaaS, Key Account Management, Major Account Management, National Account Management, PaaS, Public Speaking, Risk Assessment, Risk Management, Risk Mitigation, SaaS, Solutions Selling, Strategic Business Planning, Strategic Communications, Strategic Partnerships, Strategic Planning
Tags for this Online Resume: End - user Support, Expert
Systems, sql, HCM, WORKDAY, SDLC, AGILE, ORACLE, JAVA, microstrategy, BI,
Analytics, HR, Finance, RPA, BENEFITS, HEALTHCARE,
BIG DATA, Process re-engineering, Transformation, IT Strategy, Enterprise
Data Management,
Data Warehouse, robotics, human capital, Compensation, HRIS, Oracle, vendor management
Jamie Rule of JTR Recruiting / TalentConnect Information Technology - Software &
Systems Engineering, Cyber Security, ERP / SAP / Oracle,
Big Data, Cloud Technologies,
Analytics, Sales / BD professionals.
Billings Montana About Blog My blog about becoming a Healthcare
Data Scientist, Healthcare
Big Data and
Analytics, Healthcare Predictive
Analytics, Infographics, and assorted Emergency Medicine / Learning Health
System / Complexity Science topics.
Tags for this Online Resume: Salesperson, Network File
System (NFS), Sales, Business Development, Media & Entertainment, Aerospace, Cloud Computing, Ethernet, business development, sales representative, sales, outside sales, account manager, account executive, IoT,
Analytics, New Business Development, Direct Sales, Channel Sales and Management, Video Search &
Analytics, Finding and Closing Business, Cloud Computing, Networking and Storage, PaaS, SaaS,
Big Data, IoT,
Analytics, Machine Learning