The DataSeers solution has four Seers that companies can use to see through the data, so they can make decisions in a fast and efficient manner. Typically, in the industry, it takes hours to reconcile records, but with ReconSeer, millions of records on various platforms can be reconciled within seconds.
3LOQ uses proprietary machine learning algorithms to analyze billions of data points and map out dynamic feature recommendations that put a customer on a habit formation path. Following this path ultimately leads to the customer adopting a desired action.
Proagrica is revolutionizing the agriculture industry by providing the most time and cost effective big data solution. Customers are able increase yield and profitability while reducing inputs and improving environmental impact.
GuardHat Inc. manufactures a smart hardhat that has the potential to redefine worker safety. The challenge for the safety control center is to process and analyze vast amounts of incoming data from smart hardhats in near real time so as to prevent injury.
Fraud is a prolific problem that impacts nearly every industry sector. LexisNexis® Risk Solutions uses its cross-industry expertise, rich data sources, and advanced analytics to help address fraud.
Elsevier decided to enhance the analytical capabilities of their first generation SciVal solutions to better serve research institutions in generating hard facts to support their decision making.
Reed Elsevier (parent company of LexisNexis Risk Soutions) acquired ChoicePoint, Inc. The success of the acquisition relied on the ability of LexisNexis to help ChoicePoint modernize its technology and replace expensive, fragmented and outdated systems that limited its growth potential.
Engauge, a full service digital and social agency, developed a POV to help companies understand the role Pinterest can play, not just in their social mix, but also in their entire marketing program. To get a handle on the opportunities, Engauge needed to sift through the buzz, explore the usage patterns and analyze the data.
Versatile, Fast, Forgiving. Tyler shares how he utilized HPCC Systems to integrate multiple data sources together to bring insights and data visualization to his customers in seconds. Tyler touches on support, ease of implementation, analytics, plugins, and the dynamics of the platform.
Mathew and Charlotte discuss how they use HPCC Systems to enable data-driven decision making with their HR customers by allowing them to bring all of their people data into a single view. From data ingestion, to data processing, enrichment, linking and querying in a single platform, HPCC Systems allows their developers to spend more time developing features rather than connecting systems.
Proven. Capable. Flexible. Fujio describes how HPCC Systems can help solve customer problems, including utilizing fewer systems which are more flexible and allow them to get to market more quickly. He discusses how the system can enable significant business value by bringing data from disparate systems together faster with tools for ETL, data integration, and business logic integration.
Adwait describes how his platform-as-a-service company utilizes HPCC Systems to provide fast ETL and data warehousing to banks and financial service providers, doing in minutes what previously took days to complete. HPCC Systems is fast and open source, thereby speeding time to market and reducing costs for this startup company.
HPCC Systems eats data for breakfast. Anirudh discusses how the Habitual AI platform utilizes HPCC Systems to help customers convert to mobile banking. Anirudh describes how HPCC Systems enables his company to process 10TB of content quickly and how ECL and ease of integration with other platforms enable fast iteration to speed time to market.
Hear why Rob Bigini, VP of Operations,discusses his strategic decision to teach data analysts how to leverage HPCC Systems instead of hiring multiple developers and consultants that are typically needed for other Big Data platforms. Hear how Rob was able to streamline his hiring practices with HPCC Systems and quickly ramp up his team.
Mohammad Rashti, Project Manager and Research Scientist from RNET Technologies, discusses how he leverages the HPCC Systems platform and ECL programming language in his projects.
John Andleman, a Silicon Valley technology professional, on why he chose HPCC Systems for his work project and how it compared to other leading Big Data platforms.
Nikolaos Vasiloglou, the CEO of Ismion evaluates HPCC Systems and discusses why he chose HPCC Systems for his company. Nikolaos discusses the learning curve of the platform and the ease of use compared to other solutions in the marketplace.
Dr. Richard Murphy discusses how Sandia National Laboratories is looking at Cray Systems and HPCC Systems to address the informatics challenge of sorting through petabytes of data to find correlations and generate hypotheses.
Luke Pezet, Information Engineer, discusses why HPCC Systems was chosen for his company Archway Health Advisors to help solve big data problems in the health care industry. Luc compares HPCC Systems to other platforms and discusses his recommendation for others grappling with Big Data.
Fujio Turner, Software Developer and Founder, Exabyte Big Data Meetup - Silicon Valley, talks about his experience with HPCC Systems and why he decided to create a meetup group dedicated to learn more about this platform.
Professor Freytag and PhD Candidate Fabian Fier discuss their research in text and data mining and how they use HPCC Systems to implement and realize complex algorithms in their research as well as how they utilize HPCC Systems in the university setting.
Dr. Preston describes the collaboration between HPCC Systems and Kennesaw State University, including a High Performance Computing Certificate Program. The collaboration with HPCC Systems allows students to apply their learning to real world problems and taking their learning to the cutting edge of computing and machine learning.
Dr. Vince Freeh discusses the benefits of HPCC Systems and of utilizing the open source platform in the university setting. Dr Freeh discusses the ease of installation, the breadth of plug in availability, and the ease of programming with the declarative programming language, ECL.
Dr. Amy Apon, Professor at the School of Computing at Clemson University discusses how Clemson University was able to train students and researchers on HPCC Systems in about a day, so that they could start working with the platform for their projects.
Linh Ngo, Staff Data Scientist, shares his experience on using HPCC Systems in his research at Clemson University and how the main components of the platform, including Thor and ECL, help make handling large data sets more efficiently and easily.
Michael Payne, PhD student from Clemson University, talks about using HPCC Systems for machine learning and the ease of use in learning the ECL programming language.
Dr. Borko Furht, Professor and Director of the NSF Industry/University Cooperative Research Center at Florida Atlantic University discusses how they leverage HPCC Systems for their Big Data research.
Victor Herrera, Graduate Student and Research Assistant at Department of Computer Science at Florida Atlantic University, talks about how the ease of use in ECL helps him with developing machine learning algorithms for his work.
Dr. Vincent W. Freeh, Associate Professor, North Carolina State University talks about how he uses HPCC Systems in his research and programs.
Hear from the many developers, data scientists and academics that have come to rely on HPCC Systems to solve their big data challenges.