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Architect, Abstract Artist, or Cartoonist?
Are Organizations’ IPA Efforts Meeting or Beating Expectations?
Engage the Power of Simulation with Digital Twins
How Your Technical Perspective Can Bolster Diversity, Equity, and Inclusion Initiatives
Digital Twins — An Introduction
Total Planning or Full Agility? In Search of the Golden Mean
When Good Data Goes Bad, Part I
The New Rules of Analytics: A Q&A
A recent leap forward in database and analytics technology includes streaming technologies like Apache’s Kafka, which can handle real time and can scale to handle big data movement at extremely low cost, and high-speed, in-memory analytics tools like SAP HANA, which makes mincemeat out of billion-row data sets. These and other new cloud-based approaches have changed the paradigm for 21st-century data analytics.
Avoiding the Creep
Automating Document Data Extraction
A General Recipe for Creating Data Architectures
Federated Learning’s Potential for Joint AI Development Efforts
Ingredients for Enterprise Agility, Part II: Organizing and Planning for Enterprise Agility
A New Look — The Automotive Industry, Post-COVID: A Q&A
In a recent webinar, Andreas Schlosser, Alan Martinovich, and Philipp Seidel examined the state of the automotive industry and what it might look like after the pandemic. They urged industry players — manufacturers, dealers, distributors, OEMs, and the full supply chain — to make bold decisions right now to be ready for a “new normal.” In this Advisor, we share some of the answers to questions participants asked about the actions carmakers should take now to set themselves up to win in the post-corona era.
5G Will Power the Next Evolutionary Step for the IoT
Getting Past Tradition: Expanding the Scope of EA in the Organization
Next-Generation Analytics: Is it a Data Lake or a Data Mart?
Learning to Lead Collective Creativity, Part II: Leading So That No One Is Following
How to Succeed with LC/NC Solutions
Assessing the Value of EA with Metrics
How Business Architecture Can Help Achieve UN Sustainable Development Goals: A Q&A
Settlement Could Set Regulatory Precedent for Unauthorized Use of Consumer Data
A recent settlement between the US Federal Trade Commission (FTC) and photo app developer Everalbum, Inc. could have significant repercussions for organizations developing machine learning (ML) and other artificial intelligence (AI) models using consumer data. The settlement requires Everalbum to delete the face recognition models and algorithms it allegedly developed by using photos and videos uploaded by its users.