Enterprise Architecture

Unified Orchestration in Manufacturing: From Shop Floor to Cloud

Factories do not lack automation. They lack coordination between automations. This post maps unified orchestration to manufacturing and logistics: data…

2 months ago

When NOT to Use Stream Processing: Messaging and APIs Are Often Enough

Confluent rearchitected Control Center away from its Kafka Streams metrics pipeline. Kestra 2.0 rebuilt its queuing layer around plain queueing.…

2 months ago

Multi-Model AI Orchestration: Which Layer Should Pick the Model?

Every router can pick a model. The question that decides whether a multi-model strategy survives production is which layer chooses,…

2 months ago

Why Enterprises Need a Multi-Model AI Strategy: Cost, Compliance, and Resilience

Single-vendor AI has become a single point of failure. Five drivers now make the case for a multi-model AI strategy…

2 months ago

Trusted Agentic AI Landscape Q3 2026: Enterprise Vendor Selection, Sovereignty, and Lock-in

The Q3 2026 edition of the Trusted Agentic AI Landscape maps enterprise AI vendors on two axes, trust and lock-in,…

2 months ago

Data Integration vs Workflow Orchestration: Connecting Systems Is Not Coordinating the Work

Data integration and workflow orchestration get confused because both ship hundreds of connectors. This post draws the line: integration moves…

3 months ago

Process Intelligence Landscape 2026: Mining, Orchestration, and the Agentic AI Shift

Process intelligence has become three things, not one: mining, orchestration, and a decision gate. Here is how they fit, why…

3 months ago

Kafka vs Flink vs Spark: Do You Really Need Real-Time?

Most vendors sell milliseconds, but most enterprise use cases do not need them. A critical look at Kafka, Flink, Spark,…

3 months ago

Edge to Cloud and Back: Four Data Movement Problems, and Why One Technology Never Solves All of Them

Edge to cloud is not one integration problem. It is four: telemetry going up, control going down, sites syncing sideways,…

3 months ago

Data Integration Landscape 2026: Event Streaming, API, and Batch in the Era of Agentic AI

The Data Integration Landscape 2026 maps every major vendor across three communication paradigms: request-response, event-driven, and batch. Event streaming has…

3 months ago