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Page 13 of 63. Browse the full Digital Applied archive, or jump to a topic below.

Page 13 of 63

Exploring the future of digital marketing and technology

Showing 289-312 of 1498 articles
A practical playbook for chunking documents in RAG pipelines, comparing fixed, semantic, recursive, and late-chunking with retrieval-quality benchmarks.
#rag#chunking+6 more
2026-05-27
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What to log, trace, and alert on when running AI agents in production: an observability-stack comparison covering spans, token cost, eval gates, replay.
#ai-observability#agent-tracing+6 more
2026-05-27
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Net revenue retention benchmarks for 2026 SaaS by segment and ACV, with the expansion-vs-churn math, NRR levers, and a target-setting framework.
#net-revenue-retention#nrr+6 more
2026-05-27
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A playbook for marketing mix modeling in a privacy-first era, comparing MMM, multi-touch attribution, and incrementality testing with open-source tools.
#marketing-mix-modeling#mmm+6 more
2026-05-27
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A repeatable framework for building an ideal customer profile and lead-scoring model, with fit-vs-intent weighting, disqualification rules, and a scorecard.
#icp#lead-scoring+6 more
2026-05-27
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An internal linking reference for large content sites: pillar-cluster architecture, link-equity flow, anchor distribution, and crawl-budget control.
#internal-linking#technical-seo+6 more
2026-05-27
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A data-driven playbook for cutting ecommerce return rates, with category benchmarks, a root-cause taxonomy, sizing and PDP fixes, and unit-economics math.
#ecommerce-returns#returns-reduction+6 more
2026-05-27
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A reference architecture for layering input, output, and tool-call guardrails on production LLM systems: prompt-injection, PII, and jailbreak defense.
#llm-guardrails#ai-safety+6 more
2026-05-26
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A playbook for engineering production-agent context windows: retrieval budgeting, compaction, memory tiering, and tool-result pruning with keep-or-drop rules.
#context-engineering#ai-agents+6 more
2026-05-26
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A decision guide for when to generate synthetic training and eval data versus collecting real data: distillation, bootstrapping, and model-collapse risk.
#synthetic-data#llm-training+6 more
2026-05-26
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A technical reference for hybrid retrieval: BM25 keyword scoring, dense vector search, reciprocal rank fusion, and cross-encoder reranking for better RAG.
#hybrid-search#bm25+6 more
2026-05-26
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A playbook for recovering abandoned carts with AI-personalized email and SMS: timing windows, dynamic discounts, product picks, and benchmark recovery rates.
#abandoned-cart#cart-recovery+6 more
2026-05-26
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A framework for building and acting on marketing churn-prediction models: behavioral and billing features, model choices, scoring cadence, and risk-tier plays.
#churn-prediction#customer-retention+6 more
2026-05-26
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A playbook for engineering internal link architecture to build topical authority: pillar-cluster modeling, link-equity flow, anchors, and orphan-page detection.
#internal-linking#topical-authority+6 more
2026-05-26
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An industry guide to entity-based SEO: establishing brand and topic entities in Google's Knowledge Graph via structured data, sameAs signals, and Wikidata.
#entity-seo#knowledge-graph+6 more
2026-05-26
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A decision matrix for SaaS pricing in the AI era: seat, usage, outcome, and hybrid models, covering metering, inference-cost margin risk, and expansion revenue.
#saas-pricing#usage-based-pricing+6 more
2026-05-26
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A FinOps playbook for cutting AI inference spend without quality loss: model routing, prompt and KV caching, batching, quantization, and unit-cost tracking.
#inference-cost#ai-finops+6 more
2026-05-26
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Alibaba's Qwen 3.7 Max ships with 1M context, $2.50/$7.50 pricing, and benchmarks topping Opus 4.6 on Terminal-Bench, SWE-Bench Pro, and MCP-Atlas.
#qwen-3-7-max#alibaba-qwen+7 more
2026-05-25
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Five days into Google's May 2026 core update — vendor sensor data, vertical-specific volatility, and the early recovery patterns SEO teams should watch.
#may-2026-core-update#core-update-day-5+6 more
2026-05-25
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50+ AI coding adoption stats for 2026 — sourced from Stack Overflow, JetBrains, GitHub Octoverse, DORA, McKinsey, GitClear, Veracode, and DX. Each cited.
#ai-coding-adoption#developer-statistics-2026+6 more
2026-05-25
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Seven production patterns for Anthropic's self-hosted sandbox from Code with Claude London — Docker isolation, MCP tunnels, HITL gates, evals, rollback.
#anthropic-sandbox#self-hosted-agents+6 more
2026-05-25
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AI customer support data for 2026 — Salesforce, Zendesk, Gartner, Forrester, Decagon, Sierra, Fin, Ada. Vendor-vs-independent deflection gaps quantified.
#ai-customer-support#customer-service-statistics+6 more
2026-05-25
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Five days after Gemini 3.5 Flash GA — independent benchmarks from Artificial Analysis, llm-stats, WaveSpeed, and Aider. Google-claimed vs verified.
#gemini-3-5-flash#independent-benchmarks+6 more
2026-05-25
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50-point operational audit for marketing teams adopting AI agents in H2 2026 — agent inventory, integrations, evals, governance, provenance, attribution.
#agentic-marketing#marketing-stack-audit+6 more
2026-05-25
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