Artificial intelligence and the data science behind it are in high demand. An ever-expanding swath of industries see the value in AI-driven analysis and features. Yet finding the data scientists equipped to develop and refine them proves no easy task. Ople, the platform that automates AI modeling via AI, eliminates this bottleneck, making trained data scientists work better and faster, and drawing data hounds of other job descriptions seamlessly into AI work.
Search Results for: modeling
Beyond Moon Shots and Unicorns: AI Can Go Everywhere Thanks to New AI Training and Modeling Platform Ople
April 26, 2018 by Leave a Comment
ZEPL Launches ZEPL Team Data Analytics and Modeling Solution
March 22, 2018 by Leave a Comment
ZEPL today moved its interactive, multi-tenant environment platform out of beta and is now generally available. Designed for data scientists to collaboratively execute analysis through a single notebook interface, ZEPL ensures better, faster interactions with data. ZEPL also launched ZEPL Team, a more feature-rich solution to drive improved data science and analytics collaboration across organizational units.
Data Modeling Zone (DMZ)
September 7, 2017 by
Data Modeling Zone (DMZ) is the annual conference in the US and in Europe where you can sharpen your data modeling skills, share experiences with other data professionals, and shape our data modeling industry. DMZ US contains over 50 sessions crossing five tracks: Foundational Data Modeling, Requirements and Communication, Big Data and Architecture, Hands-On and Case Studies, and Advanced […]
Is Data Vault Modeling a Good Choice for Your Organization?
July 28, 2017 by 1 Comment
In this special guest feature, Moshe Kranc, CTO at Ness Digital Engineering, discusses data vault modeling and the key benefit of data vault architecture is that it has a design that is flexible and adaptable to meet the changing needs of an enterprise.
erwin Releases Native, Enterprise-Class NoSQL Data Modeling Solution
July 6, 2017 by Leave a Comment
erwin, Inc., the data management experts, announced the expansion of the company’s “any-squared” (Any2) approach – any data, anywhere – with erwin DM NoSQL, an extension of the company’s market-leading erwin Data Modeler solution. With erwin DM NoSQL, enterprises can model and manage unstructured cloud data with the same rigor and effectiveness as traditional data sources, reducing risk and dramatically enhancing enterprise governance and collaboration.
Reach Analytics Adds Automated Response Modeling Capabilities to Its Self-Service Predictive Marketing Platform
May 1, 2017 by 1 Comment
Reach Analytics, a leading predictive platform for marketing teams, announced the launch of new-to-market automated response modeling capabilities. The new features are now live and available for use by marketers to increase campaign response rates.
Alfresco Introduces Data Modeling in Its Flagship Business Process Management System
December 5, 2016 by Leave a Comment
Alfresco Software, a leading open-source provider of Business Process Management (BPM) and Enterprise Content Management (ECM) solutions, announced its latest advancement by bringing extensive data modeling features to its flagship Alfresco Activiti™ 1.5 BPM platform. The new Alfresco Activiti 1.5 gives users one-click access to any connected database, and the ability to process, or “model,” that data for use in new corporate applications.
Looker for Hadoop – Interactive Analytics, Visualizations and Data Modeling on large Hadoop Data Sets
October 25, 2016 by Leave a Comment
In this special technology white paper, Looker for Hadoop – Interactive Analytics, Visualizations and Data Modeling on large Hadoop Data Sets, you’ll learn how the vision of Hadoop as more than a data store is finally a reality.
Interactive Analytics, Visualization and Data Modeling on large Hadoop Data Sets
October 10, 2016 by Leave a Comment
The vision of Hadoop as more than a data store is finally a reality. Thanks to advances from SQL query engines like Spark SQL, Impala, Presto and Hive on Tez, big data technologies are now accessible for business analytics. With Looker, analysts can build a data model across all their data in Hadoop – easily transforming raw data into meaningful metrics and finally allowing business teams to access and explore years of stored data in Hadoop data sets.
Overcome analytic challenges on Hadoop data:
Get more from your Hadoop cluster by analyzing the data where it sits
No need to move or transform the data prior to performing analysis
Interact with your data through a familiar language – SQL on Hadoop
Create a single source of truth for your enterprise that’s governed by a data model
To learn more download this white paper.
Signet Accel and Predixion Software Partner to Bring Joint Data Integration and Predictive Modeling to Healthcare Industry
November 5, 2015 by Leave a Comment
Signet Accel, a software and services company specializing in data integration and harmonization, announced a partnership with Predixion Software, a developer of cloud-based advanced analytics software.
