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What we're Learning.
Field notes from production, not thought leadership. We publish when we have something to say.
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RM2M Cap, TRL Ready: Malaysia AI Grants 2026 for Businesses
Concise 2026 shortlist of Malaysia AI grants, who qualifies, application steps, TRL focused grant writing advice, and non dilutive financing options for...


Cut AI project costs 2–6x: 2026 benchmarks and an estimator
2026 cost benchmarks and a ready estimator for AI project costs. Includes a 2–4 week discovery template, case examples, and inference-saving tactics to...


2–6 Weeks to Resilient AI Capacity Planning for Enterprises
Run a 2–6 week pilot to move from single point forecasts to scenario-based AI capacity planning with audit trails, reducing outages and wasted spend.


AI Project Handoff Risks for AI Leads: Survive with 30 Day Validation
For AI leads and project managers: prevent handoff failures with runbooks, automated evals, migration tests and a 30 day validation.


Under 10ms serving with feature store design for ML engineers
Feature store design for ML engineers: offline and online stores, parity tests, and materialisation to hit under 10ms serving and prevent skew.


Cut GenAI Inference Costs 40–70% in 90 Days for Tech Leaders
FinOps first playbook for tech leaders: track token‑level metrics, apply routing, caching, batching and governance in a 90 day plan to cut GenAI inference...


6 MLOps Practices for Production Teams With a 6–12 Month Rollout
A practitioner-ready MLOps guide for production teams: six core practices mapped to maturity levels plus a 6–12 month action plan to deploy and monitor...


Vector Database Use Cases: 4 Roles for Search, RAG and Fraud
Decision-focused overview of vector database use cases—search, recommendations, RAG, agent memory and fraud—with guidance to help tech leaders decide if a...


Five pillars to speed claims document intake for operations leaders
Operational guide for claims operations leaders: build a five pillar IDP pipeline with SMS capture, confidence scoring, and a phased pilot to cut rework.


Retrieval Augmented Generation: 4 Upstream Choices for Engineers
A production ready RAG playbook for engineers: prioritize chunking, hybrid retrieval and rerank, embedding lifecycle, and context strategy.


Modeling Implicit Relations for Enterprise Contract Clause Extraction
Research led guide for enterprise clause extraction. How implicit relation modelling and 95% reconstruction make pipelines production ready.


Building a data labeling strategy that scales without breaking
Learn how to build a scalable data labeling strategy that enhances model accuracy, reduces rework, and ensures high-quality datasets.


Event-driven AI: the architecture behind scalable agent systems
Discover how event-driven AI architecture enhances scalability and resilience in agent systems by enabling real-time responsiveness to data changes.


Generative AI for documents: what it delivers in 2026
Discover how generative AI for documents revolutionizes efficiency by automating extraction, summarization, and drafting in 2026.


On-prem GenAI deployment: when it's right and how to start
Discover when on-prem GenAI deployment is ideal and how to start. Gain control, reduce costs, and customize your AI solutions effectively.


Quality prediction manufacturing: the reliable hybrid approach
Discover how quality prediction in manufacturing transforms processes through a hybrid approach, ensuring continuous and accurate defect detection.


LLM evaluation metrics: a practitioner's guide for 2026
Discover essential LLM evaluation metrics for 2026 that enhance performance. Learn to prioritize retrieval ranking and generation quality.


LLMOps best practices for reliable production systems
Discover essential LLMOps best practices to ensure reliable production systems, preventing costly incidents and improving performance.


Fraud detection in banking: the AI stack that actually works
Discover the AI solutions that truly enhance fraud detection in banking, combining real-time scoring and advanced analytics to combat cybercrime.


Trade finance document automation: the agent-led approach
Explore how an agent-led approach to trade finance document automation enhances efficiency, reduces cycle times, and maintains compliance.
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