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Improved Organizational Approaches to Strengthen Inclusion
Ingredients for Enterprise Agility, Part III: Mobilizing the Transformational Leadership Team
Changing the Status Quo of HR Management
Silos Can Be Bad for Business
Digital Twins: Nature or Nurture?
Learning to Lead Collective Creativity, Part III: Entrepreneurial Leadership
The Evolution of Banking
Cloud Discounts: A Risk/Reward Model
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.