decision intelligence

Alimama Tech

Dec 17, 2024 · Artificial Intelligence

Auto‑Bidding in Large‑Scale Auctions: The AIGB Paradigm and the AuctionNet Benchmark

At NeurIPS 2024, Alibaba's AliMama workshop introduced AIGB, a generative-model based auto-bidding solution, and released AuctionNet benchmark with billions of records; the competition attracted 1,861 participants across generative and uncertainty tracks, with winners earning prizes and internships, highlighting broader applications beyond advertising.

AuctionNetAuto-BiddingNeurIPS

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Auto‑Bidding in Large‑Scale Auctions: The AIGB Paradigm and the AuctionNet Benchmark

Alimama Tech

Aug 16, 2023 · Artificial Intelligence

Generative AI Advances for Intelligent Commerce: Alibaba's Knowledge‑Driven, Reasoning, and Creative Technologies

Alibaba’s Alimama showcases Intelligent Commerce 2.0 by combining knowledge‑driven multimodal product detection, trillion‑parameter model serving, logical‑reasoning decision‑intelligence frameworks for AI‑generated bidding, and creative diffusion‑based marketing tools such as virtual try‑ons and font style transfer, all powered by a massive training platform and academic collaborations.

Creative AIIntelligent Commercedecision intelligence

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Generative AI Advances for Intelligent Commerce: Alibaba's Knowledge‑Driven, Reasoning, and Creative Technologies

Alimama Tech

Jul 31, 2023 · Artificial Intelligence

Intelligent Commerce 2.0: AI‑Driven Innovations Presented by Alibaba at ACM SIGAI Forum

At the ACM China Turing SIGAI Forum, Alibaba’s CTO Zheng Bo unveiled “Intelligent Commerce 2.0,” a knowledge‑driven AI era that shifts commerce from statistical data to causal decision‑making, leveraging generative large‑model, multimodal and AI Serving4LM technologies for B2B/B2C marketing, analytics, risk control, asset management, and is supported by the Peking‑University‑Alibaba PAAI lab’s research on graph models, decision intelligence and AI‑generated music.

AIIntelligent CommerceLarge Models

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Intelligent Commerce 2.0: AI‑Driven Innovations Presented by Alibaba at ACM SIGAI Forum

DataFunSummit

Jun 19, 2023 · Artificial Intelligence

Overview of Decision Intelligence and Reinforcement Learning

This article provides a comprehensive overview of decision intelligence, distinguishing predictive and decision tasks, classifies decision environments, and delves into reinforcement learning fundamentals, algorithms such as SARSA, deep reinforcement learning, and discusses current applications, challenges, and future research directions.

Artificial Intelligencedecision intelligencedeep learning

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Overview of Decision Intelligence and Reinforcement Learning

DataFunTalk

May 20, 2023 · Artificial Intelligence

Understanding Didi’s Online Marketplace: Core Concepts, Technical Challenges, and Emerging Technologies

This article introduces Didi’s real‑time online marketplace, explains its fundamental principles, network effects, and social efficiency benefits, and examines key technical areas such as mechanism design, decision intelligence, operations research, reinforcement learning, and causal inference that drive its advanced matching and dispatch strategies.

Artificial IntelligenceMarketplacecausal inference

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Understanding Didi’s Online Marketplace: Core Concepts, Technical Challenges, and Emerging Technologies

Didi Tech

May 9, 2023 · Artificial Intelligence

An Introduction to Didi’s Marketplace: Mechanism Design, Decision Intelligence, Operations Research, Reinforcement Learning, and Causal Inference

The article introduces Didi’s large‑scale ride‑hailing marketplace, explaining how mechanism design, decision intelligence, operations research, reinforcement learning, and causal inference are combined to create fair, efficient, data‑driven matching, routing, and incentive systems that tackle massive two‑sided market challenges.

Causal InferenceDidiMarketplace

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An Introduction to Didi’s Marketplace: Mechanism Design, Decision Intelligence, Operations Research, Reinforcement Learning, and Causal Inference

DataFunSummit

Sep 17, 2022 · Operations

Decision Intelligence in Manufacturing: In‑Depth Practices and Research Presentations at DataFun Summit 2022

The DataFun Summit 2022 featured a series of expert talks on data‑driven decision intelligence for large‑scale manufacturing networks, covering inventory safety stock optimization, AI‑based production planning, industrial solver applications, and real‑world case studies to help attendees improve supply‑chain efficiency and adopt intelligent manufacturing technologies.

Artificial IntelligenceBig Datadecision intelligence

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DataFunSummit

Sep 16, 2022 · Operations

Decision Intelligence and Operations Optimization in the Automotive Industry: Practices, Challenges, and Lessons Learned

This article explores how decision‑intelligence and operations‑research techniques are applied across the automotive supply chain, detailing the industry’s structure, optimization methods at strategic, planning and execution levels, implementation difficulties, and practical lessons drawn from real‑world projects.

Automotive IndustryCase Studydecision intelligence

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Decision Intelligence and Operations Optimization in the Automotive Industry: Practices, Challenges, and Lessons Learned

DataFunSummit

Sep 11, 2022 · Operations

DataFun Summit 2022 – Decision Intelligence Online Conference: Speaker Lineup and Topics

The DataFun Summit 2022 Decision Intelligence online conference on September 24 features leading experts from academia and industry presenting research on supply‑chain optimization, electric‑vehicle service network design, simulation‑based decision frameworks, high‑performance distributed machine‑learning platforms, and advanced optimization solvers.

Artificial IntelligenceConferencedecision intelligence

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DataFun Summit 2022 – Decision Intelligence Online Conference: Speaker Lineup and Topics

DataFunTalk

Aug 16, 2022 · Operations

Decision Intelligence and Operations Optimization in the Automotive Industry: Concepts, Applications, Challenges, and Practical Experience

This article explains how decision‑intelligence and operations‑research techniques are applied across the automotive supply chain, describing the industry structure, optimization methods at strategic, planning and execution levels, implementation difficulties, real‑world case studies, and lessons learned from a decade of data‑analysis practice.

Automotive IndustryCase Studydecision intelligence

0 likes · 15 min read

Decision Intelligence and Operations Optimization in the Automotive Industry: Concepts, Applications, Challenges, and Practical Experience