| Name | Title | Contact Details |
|---|---|---|
Saeideh Fard |
Chief Financial Officer | Profile |
Tom Aitchison |
President of Go-To-Market | Profile |
Claim Technologies Incorporated is a Chicago, IL-based company in the Software & Internet sector.
Data Flow Systems is a Melbourne, FL-based company in the Software and Internet sector.
Dataguise precisely detects and protects sensitive data in real time across all repositories so enterprises can safely maximize the value of all their information assets. We make sensitive data governance simple, delivering the only one-stop, out-of-the-box solution that provides the highest level of detection and protection — no customer programming required. Organizations concerned about data breaches, privacy and compliance (PII, PCI-DSS, HIPAA, HITECH, GDPR, etc.) rely on Dataguise for no-coding/no-scripting discovery, protection, audit and monitoring for sensitive data in Hadoop, DBMS, files, and other data environments both on prem and in the cloud. Dataguise complements volume-level encryption tools and perimeter-based security strategies by providing the most granular cell-level discovery and protection. Dataguise works with 100% of the major Hadoop distributions and is a certified partner of Cloudera, Hortonworks, MapR and Amazon. Dataguise also discovers and protects data in the cloud, partnering with Hadoop-as-a-Service vendors like Altiscale and Qubole. Traditional data platforms and DBMSs supported include Oracle, SQL Server, IBM DB2, Teradata, SharePoint and files. Dataguise solutions are integrated with Kerberos, LDAP, Active Directory and others. For the third year in a row, Dataguise is recognized as a Visionary in the Gartner Magic Quadrant for Data Masking Technology (Gartner Inc., Dec 2015) for its ability to help its customers reduce the risk of data breaches and remain compliant with leading regulations (such as HIPAA, HITECH and PCI DSS) designed to protect personally identifiable information (PII) and protected health information (PHI).
Magnify360 USA is a Los Angeles, CA-based company in the Software and Internet sector.
Time is the enemy of data. Data that has enormous value the moment it`s created will have less value — even no value — an hour, a minute, or even a second from now. And that time-to-value is becoming more urgent every day. Just ask organizations in e-commerce, in financial services, and in energy to name a few. Companies who can ingest the ever-increasing amounts of data coming in — whether it`s customer data, trading data, or sensor data — and act on a transaction opportunity faster than anyone else are the ones who will win. Today, organizations of all types are trying to gain a competitive advantage or become more effective by devising new ways to identify and act on fast-moving, valuable data. This is what drives the Big Data trend – by ingesting and analyzing large volumes of a variety of data, organizations hope to be able to find and act on every single piece of data at a point of maximum value. And to date, there has been an enormous amount of frustration in this quest because these same organizations have not been able to achieve the velocity required to act on data at anything approximating the point of maximum value: real time. Their systems are simply too slow at data ingestion, analysis and decisioning. VoltDB solves this critical velocity problem. It is an in-memory relational database that combines high-velocity data ingestion, massive scalability, and real-time analytics and decisioning to enable organizations to unleash a new generation of applications that act on data at its point of maximum value. Organizations in markets ranging from financial services and media, to energy and telecommunications, use VoltDB to narrow the “ingestion-to-decision” gap from minutes, or even hours, to milliseconds. That, in any line of work, is a big deal.