Aggregated enterprise architecture wisdom
By Paul Preiss I had a conversation recently with someone running a small restaurant chain. Three locations. A loyalty system that does not talk to her inventory, a scheduling app that emails PDFs, and a […]
There is a growing question taking hold in technology circles these days: Can’t we just use AI to build all these expensive SaaS tools instead of buying them all the time?
The New Ardoq Experience introduces a simpler, smarter, more powerful platform and lays the foundation for a new way of working with Enterprise Architecture across the organization.
Organizations invest significant effort in prioritizing initiatives. Strategic alignment is defined. Financial impact is evaluated. Risk and feasibility are assessed. A ranked portfolio takes shape, reflecting enterprise objectives and leadership intent. However, even well-prioritized portfolios can break down during planning. As funding decisions are made and delivery plans begin to form, gaps emerge. Total investment…
New research from Washington University in St. Louis examines how workers’ perceptions of artificial intelligence (AI) have shaped their response to the emerging technology. The research also highlights how these differing responses could affect long-t…
By Holt Hackney Arno Schilperoord, Director of Global Architecture & Innovation at Heineken, sits at the center of one of the world’s most complex digital transformation efforts. With responsibility spanning enterprise architecture and innovation m…
How enterprise architecture helps manage shadow IT and low-code solutions as local tools evolve into shared systems with structural impact.
Editor’s Note: This blog post launches a new series on software implementation. We’re sharing these insights – gleaned from years of working alongside Planview customers on hundreds of unique implementations – to support leaders and teams in finding lasting software success. Today, we hear from Amichai Faran, Director, Planview Evolve Advisory Services.
For decades, the “Big Tech” playbook hasn’t changed: Lock the customer in, own their data, and dictate their roadmap.
By Stuart Dee For much of the past decade, storing personally identifiable information within a large language model was regarded as something no responsible organisation should attempt. Early models functioned as vast statistical engines, absorbing […]
Signals from the Field: What Government Cloud Security Panels Reveal…
By Dr. Nikita Golovko, AI Architect, Siemens Your AI system may already have an architecture document. It lists the data sources. It describes models. It defines the KPIs the system is meant to improve. Someone […]