Latest updates for Decision Architecture

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Recent items include:

  • Cutting RAG inference costs 6x starts with deciding what never reaches the LLM
  • How To Design Better Branching Scenarios: Start With The Decision
  • Вы выбираете не решение. Вы выбираете его будущие проблемы

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venturebeat.com /3 weeks ago

Cutting RAG inference costs 6x starts with deciding what never reaches the LLM

Most teams building retrieval augmented generation (RAG) systems for high stakes classification make the same architectural bet: Route every ambiguous case straight to the language...

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elearningindustry.com /2 days ago

How To Design Better Branching Scenarios: Start With The Decision

Learn how to design branching scenarios around real decisions, with believable choices, meaningful consequences, and only the complexity the learning requires. This post was first...

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habr.com /1 week ago

Вы выбираете не решение. Вы выбираете его будущие проблемы

Компания выбирает не только преимущества решения. Она одновременно выбирает его цену, ограничения и будущие проблемы.Поэтому хорошее решение – не то, у которого нет недостатков, а...

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dzone.com /1 week ago

The AI Delegation Lifecycle: Your Team Has AI Outputs. Where Are the Decisions?

TL; DR: The AI Delegation Lifecycle Your team ships AI outputs that nobody fully trusts; you needed to be quick, and “dirty” tagged along. Too bad that ungoverned automation become...

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logisticsviewpoints.com /2 weeks ago

The New Management Discipline: Designing Decision Rights for Machines

Every organization has decision rights, whether they are formally documented or embedded in daily practice. Managers approve spending at different thresholds, planners can override...

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dev.to /3 weeks ago

LLM Model Selection Matrix: Pick the Cheapest Reliable Model for Each Feature

Most AI product teams do not have a model problem. They have a matching problem. A chat rewrite, a support answer, a SQL assistant, and an autonomous workflow should not all use t...

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supplychainbrain.com /1 month ago

Decision-centric Planning: the AI-Enabled Path to Decision Velocity

Today’s world is more unpredictable than ever. From regulatory upheavals and trade tariffs to sudden shifts in consumer demand, businesses must be ready to respond swiftly and deci...

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scrum.org /2 days ago

Which Class Should You Arrange Next?

Image This is written for managers and executives who hold a training budget and are considering Scrum or other Agile training for their employees....

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digitalthoughtdisruption.com /1 month ago

Choosing an Agent Framework Is an Operating Model Decision

<p class="wp-block-paragraph">Enterprise teams are moving past the point where an AI agent is just a prompt wrapped around a tool call.</p>

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towardsdatascience.com /3 weeks ago

Before Full Agentic RAG: Know How You Decide, and the Parsing Methods You Pick From

Enterprise Document Intelligence [Vol.1 #5nonies] - Nature, plan, execute, synthesize: closing brick 1 with a dispatcher that reads each PDF’s nature and picks the method that fits...

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dzone.com /3 weeks ago

Designing a Local-First Risk Detection Pipeline for Explainable Enterprise Decisions

Enterprise risk problems often start as data-platform issues. Challenges include fragmented signals, inconsistent definitions, missing context, weak lineage, and untimely alerts. W...

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medium.com /3 days ago

Five Stages, Five Decisions: An AI PM’s Walkthrough of a Real Product

Follow the diagram. At every stage, here’s the call the product manager makes, the artifact they write, and the number they own.Continue reading on Medium »

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forrester.com /1 week ago

Enterprise Architects Must Choose: Agentic Runtime Architecture Or Agent Sprawl

Every era of enterprise technology has added a defining layer to the stack. Mainframes gave us the system of record. Client/server gave us applications. The web gave us services an...

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thedroptimes.com /2 weeks ago

The Drop Times: Eight DAM Decisions for Drupal Teams

A DAM decision changes more than where images are stored. Drupal teams also have to decide which system owns metadata, approvals, transformations, rights, and the published asset l...

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simplilearn.com /3 weeks ago

Human vs AI Decision-Making in Project Management | Simplilearn

TL;DR: AI improves speed, forecasting, and data analysis, while humans provide context, ethics, empathy, and accountability. Strong project decisions rarely come from choosing one...

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e27.co /5 days ago

The decision discipline: How to turn insights into action

Here’s a test you can run on your own organisation. Think of the last genuinely important decision your team made. Now ask: did the data shape that decision, or did someone make th...

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forrester.com /3 weeks ago

Your AI Strategy Already Made A Risk Decision. Have You?

How do you know when an AI use case is too risky to pursue? The answer has less to do with the technology itself and more to do with whether your organization has the governance, p...

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ardoq.com /3 weeks ago

Ask the Experts About AI in EA: Should Organizations Be AI-First or AI-Enabled?

Put four enterprise architects in a room and ask them how AI should fit into architecture practice, and you will not get a single answer. However, it will spur a deeply insightful...

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natlawreview.com /1 week ago

Automated Decision-Making – Lessons (To Be) Learned

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scrum.org /3 days ago

Your Roadmap Ranks Everything. It Rejects Nothing.

Image Take the product strategy slide from your last quarterly review and write the opposite of every line underneath it. "Deepen engagement in our...

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digitalthoughtdisruption.com /1 month ago

Enterprise RAG Use Cases That Survive Production: A Decision Framework for IT Teams

<figure data-wp-context="{"imageId":"6a6d9eca2990c"}" data-wp-interactive="core/image" data-wp-key="6a6d9eca2990c&qu...

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supplychainbrain.com /2 weeks ago

The Real AI Advantage in Fulfillment Is Decision Quality

Decision quality serves as an operational metric, measuring how completely a team sees a problem, how quickly they can act, and how accurately they correct course when conditions c...

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dzone.com /1 month ago

Stop Fine-Tuning Everything: A Decision Framework for Model Adaptation

The default playbook for adapting a foundation model looks like this: grab a pre-trained model, collect labeled data, fine-tune, deploy. It works often enough that teams rarely que...

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dzone.com /1 month ago

API Facade vs. Orchestration vs. Eventing, Now With AI in the Loop

AI Doesn't Replace Your Architecture; It Becomes Part of It Picture this. Your team has just integrated a large language model into your enterprise application. The demo looked com...

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blogs.vmware.com

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dev.to

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e27.co

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