Social Media Ideas for Data-Driven Optimization

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aws.amazon.com /1 month ago

Better decisions at scale: How mathematical optimization delivers where intuition fails

In this post, we introduce mathematical optimization, explain how it fits within the broader AI landscape, and showcase real-world success stories where the Innovation Center has p...

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designveloper.com /2 weeks ago

AI-Driven Decision Making To Harness Business Data

AI driven decision making uses machine learning, analytics, automation, and human review to turn business data into better choices. It helps teams forecast demand, rank leads, dete...

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techblog.lycorp.co.jp /3 weeks ago

プロンプトは人手チューニングからAIチューニングへ：遺伝的アルゴリズムで回す自動最適化と高速化

LINEヤフーの技術カンファレンス「Tech-Verse 2026」の公式記事です。こんにちは。LINEヤフー株式会社の中野です。Yahoo!検索のAI回答サービスで大規模言語モデル（LLM）の最適化...

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blog.hubspot.com /2 weeks ago

Campaign optimization strategies that actually work in 2026

Recent data shows that 88% of marketers now use AI every day to guide their biggest decisions, and for good reason. Marketing automation has been shown to generate 80% more leads a...

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venturebeat.com /3 weeks ago

New AI optimization framework beats Claude Code and Codex by 2.5x on the same compute budget

Imagine your engineering team just deployed an AI agent to search through internal company documents and answer employee questions. It works perfectly in development, but in produc...

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martechseries.com /1 month ago

EDO Launches Ad EnGage Optimize — Autonomous, AI-Powered Solution Bringing Outcomes-Driven Campaign Optimization to Conv...

New solution goes beyond campaign measurement to recommend performance optimizations at scale— new research shows up to 35%+ of CTV ad impressions can be reinvested in higher-perfo...

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dzone.com /1 month ago

Optimizing Databricks Spark Pipelines Using Declarative Patterns

If you've ever inherited a Spark job that runs in 35 minutes and someone asks you to make it faster, you know the routine. You start by checking partition counts, then file sizes,...

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aws.amazon.com /2 weeks ago

AI-powered performance recommendations for Amazon Redshift

In this post, you learn how to build an AI-powered solution that collects the telemetry, pre-computes performance signals, correlates them with CloudWatch, and uses Amazon Bedrock...

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medium.com /2 days ago

Beyond Guesswork — Bayesian Budget Allocation for Paid Search

Using artificial intelligence to decide where the next Euro goes.Continue reading on Berlin Tech Blog (by mobile.de & Kleinanzeigen) »

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letsdatascience.com /6 days ago

Google Opens AlphaEvolve To Cloud Customers

For data and ML teams, AlphaEvolve matters because it moves agentic coding from demos into measurable optimization loops. Google Cloud says the Gemini-powered code-optimization age...

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dzone.com /1 month ago

A Scalable Framework for Enterprise Salesforce Optimization: Turning Outcomes Into an Operating System

Large Salesforce programs often ship features without moving the metrics that matter. This article presents a five‑layer operating model — intake, process/data contracts, configura...

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aws.amazon.com /1 month ago

Optimize blueprint extraction accuracy in Amazon Bedrock Data Automation

Blueprint instruction optimization is a BDA feature that automatically refines your extraction instructions to address this challenge directly. You provide three to ten example doc...

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elearningindustry.com /4 weeks ago

Data-Driven Growth: How To Leverage Analytics, SEO, And GEO To Spot Market Opportunities

Explore how data-driven growth transforms decision-making in business, leveraging analytics for better market insights. This post was first published on eLearning Industry.

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techblog.lycorp.co.jp /2 weeks ago

理論をどう実運用に乗せるのか。メディア領域のレコメンド最適化で問われる、実装可能性と事業価値への翻訳

レコメンドや最適化の仕事は、モデルの精度を上げることだと思われがちです。しかし、実サービスではそれだけで価値になるとは限りません。ユーザー体験を良くしたい。セッション数を伸ばしたい...

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blog.hubspot.com /2 weeks ago

What is AI search optimization? (& why marketers should care)

AI search optimization is the practice of improving brands’ odds of being cited and mentioned by answer engines like ChatGPT, Gemini, and AI Overviews. The traffic it earns is smal...

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aws.amazon.com /1 month ago

Improve your agent’s tool-calling accuracy with SFT and DPO on Amazon SageMaker AI

In this post, you learn how to use Supervised Fine-Tuning (SFT) and Direct Preference Optimization (DPO) together to improve the tool-calling accuracy of a small language model (SL...

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legaltechdaily.com /1 month ago

What it means to be a data-driven private capital firm

The phrase “data-driven” has become so overused in private markets that it’s nearly lost meaning. Every firm claims it. Pitch decks reference proprietary data, systematic sourcing,...

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freightwaves.com /15 hours ago

Freight Profitability: Why Machines Outperform Humans in Fleet Optimization

SummaryView Transcript Discover why focusing solely on miles per truck misses critical profitability opportunities. Jake Dettmer of Optimal Dynamics explains how advanced decision...

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habr.com /1 month ago

Маленькая выборка, большая дисперсия: как мы собирали A/B-группы генетическим алгоритмом

Привет, Хабр! На связи Анастасия Шулакова и Георгий Геймбух, аналитики поддержки Авито. Мы помогаем командам развивать внутренние инструменты для специалистов так, чтобы пользовате...

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venturebeat.com /2 days ago

ACRouter picks the smartest AI model per task, beating Opus-only setups by 2.6x on cost

Model routing is becoming a key component of the enterprise AI stack, dynamically sending prompts to the right AI model to optimize speed and costs. However, current frameworks mos...

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entrepreneur.com /1 month ago

6 Data-Driven Practices That Separate High-Performing Companies From Everyone Else

Being data-driven isn't about having the best tools — it's about leaders acting on the right signals quickly and consistently.

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cloud.google.com /1 month ago

How Google Does It: Fleet-wide, large-scale A/B experimentation

When most people think of A/B experimentation, they think of button colors, landing page layouts, or checkout flows. At Google, many fundamental infrastructure improvements also ne...

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aws.amazon.com /1 month ago

The art and science of hyperparameter optimization on Amazon Nova Forge

Fine-tuning for domain-specific tasks means improving performance in one area without degrading the model’s general capabilities, and getting that balance right is harder than it l...

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foodindustryexecutive.com /5 days ago

The Ultimate Decision Engine for Mastering CPG Trade-Offs

By Eric Deutsch, Business Advisor at Oliver Wight Americas Key takeaways: Predictable performance breaks down not from bad forecasting but from disconnected decisions. Commercial,...

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