New opportunities are emerging for enterprise architects (EAs). EAs will work in conjunction with technology innovation leaders to help their organizations select, create, and implement the right business- and technology-based platforms to support their business ecosystems. “By 2021, 40 percent of organizations will use enterprise architecture to help ideate new business innovations made possible by […]
Knowledge Graphs and Data Modeling
Click to learn more about author Thomas Frisendal. Trip Report From Graphorum / Data Architecture Summit 2019 On October 14th thru 17th Chicago hosted the two co-located conferences Graphorum and Data Architecture Summit 2019 by DATAVERSITY®. It was two days of good tutorials and two good days of conference presentations. One thing to think about […]
Red Hat Brings Predictive Models to Business Automation Portfolio
A recent press release reports, “Red Hat, Inc., the world’s leading provider of open source solutions, today announced the latest release of Red Hat Process Automation, unveiling new applied artificial intelligence (AI) capabilities for predictive decision modeling, and support for the development of process- and decision-based business applications using micro-frontend architectures. Together with additional enhancements […]
SolSpec Transforms Risk Assessments with New Aerial Data Geoprocessing Platform
A new press release reports, “SolSpec, Inc. announced early access to its flagship aerial analytics and data management platform, a cloud-based geoprocessing solution that transforms aerial data into actionable risk analysis and predictive modeling to empower civil and energy infrastructure owners and operators to identify and mitigate problems at every stage of the asset lifecycle. […]
Ride the Data Governance 2.0 Wave
Companies were engaged in Data Governance practices such as Data Lineage and Data Quality for years before the concept of Data Governance emerged as a mainstream enterprise-level activity in 2005, said Kelle O’Neal, the founder and CEO of First San Francisco Partners, during her DATAVERSITY® Enterprise Data Governance Online event presentation titled Data Governance 2.0. […]
Jan 7 Webinar: Graph Data Modeling in Four Dimensions – Outline, Differences, Artisanship, Agility
DATE: December 7, 2020 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees About the Webinar Graph Data Modeling is, needless to say, good for graph databases. But it can also serve as a general conceptual/logical model. This webinar explains all aspects, starting with an overview, then moving into differences between […]
Data Virtualization: An Agile Approach to Data Integration
Click to learn more about author Tejasvi Addagada. Data virtualization can facilitate integration of data in an agile or a change-driven style. Virtualization provides unified access to disparate data sources and provides data consumers an edge in data provisioning. The lack of platform governance has led to siloes in data platforms hosting data. Data virtualization is […]
Open Data Group Rebrands as ModelOp, Puts AI and ML Models in Business at Scale
According to a new press release, “Open Data Group (ODG) has rebranded as ModelOp, reflecting the company’s sole focus on Model Operations and the rapidly growing need in large enterprises for this critical new capability, which is essential for realizing the value from their investments in AI. According to Gartner, ‘The democratization of ML techniques […]
Modeling Misfit Types: Why Type Inheritance Is Not a Good Fit in Data Models
Click to learn more about author Thomas Frisendal. “Complete Consistence” Drives Temporality, … And What Else? In August I published a blog post called The Future History of Time in Data Models. The short version of that story is that if you aim for “Complete Consistence for Temporal Extensions”, you need to work on the […]
Data Modeling in an Agile World
Data Modeling creates a model for storing and processing data that works in a predictable, consistent manner. It includes the visual presentation of data structures, while enforcing business rules and government policies. A data model focuses on the needed data and its organization, rather than the operations performed on the data. Data Modeling is done […]