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DataFunSummit
DataFunSummit
May 13, 2025 · Artificial Intelligence

Integrating Large Language Models and Knowledge Graphs for Financial Applications: Challenges, Solutions, and Future Directions

This talk explores the technical challenges of applying large language models and knowledge graphs in finance, discusses solutions such as RAG enhancements, graph‑guided retrieval, multimodal extensions, and presents future research directions including multimodal graph integration, agentic systems, and decision‑making applications.

AIAgentic SystemsFinance
0 likes · 33 min read
Integrating Large Language Models and Knowledge Graphs for Financial Applications: Challenges, Solutions, and Future Directions
Python Programming Learning Circle
Python Programming Learning Circle
Mar 17, 2025 · Fundamentals

Why Python Won’t Replace Excel and How to Bridge the Gap in Financial Workflows

The article explains why Python cannot fully replace Excel in finance, outlines spreadsheet pain points such as slowness, data‑size limits, and reproducibility issues, and introduces Python tools like Pandas, Mito, openpyxl, and Lux that can complement and extend Excel workflows.

ExcelFinanceautomation
0 likes · 6 min read
Why Python Won’t Replace Excel and How to Bridge the Gap in Financial Workflows
DataFunTalk
DataFunTalk
Dec 15, 2024 · Artificial Intelligence

China's Large‑Model Survival Battle: How Start‑ups Face Giant Competition and Market Realities

The article analyses the fierce competition in China's large‑model market, contrasting the heavy‑asset compute race and talent‑driven challenges faced by startups against big firms, while sharing personal experiences, algorithmic hurdles, and potential niches such as embodied AI, finance models, and real‑time recommendation systems.

Artificial IntelligenceEmbedded AIFinance
0 likes · 15 min read
China's Large‑Model Survival Battle: How Start‑ups Face Giant Competition and Market Realities
DataFunSummit
DataFunSummit
Nov 2, 2024 · Artificial Intelligence

AI Large Models in Finance: Applications, Case Studies, and Future Challenges

This article explores how AI large models are transforming the financial sector through intelligent advisory, automated strategy generation, risk prediction, asset allocation, and other applications, presenting detailed implementations, real-world case studies, and discussing future opportunities and challenges such as data privacy, model transparency, and regulatory compliance.

AIFinanceInvestment
0 likes · 16 min read
AI Large Models in Finance: Applications, Case Studies, and Future Challenges
DataFunSummit
DataFunSummit
Aug 8, 2024 · Artificial Intelligence

Exploring Training and Alignment Techniques for Financial Large Models

The announcement details a DataFun Summit 2024 session where Du Xiaoman AI researcher Huo Liangyu will present on the challenges, development, and alignment methods of the Xuan Yuan financial large language model, highlighting RLHF techniques, data collection, and real‑world deployment insights for the finance sector.

AIFinanceFinancial AI
0 likes · 6 min read
Exploring Training and Alignment Techniques for Financial Large Models
Model Perspective
Model Perspective
Jul 12, 2024 · Fundamentals

Why Lognormal Distribution Is Key to Modeling Rainfall and Financial Data

Lognormal distribution, where a variable’s logarithm follows a normal law, offers non‑negative, right‑skewed modeling ideal for phenomena such as rainfall, river flow, asset prices, and biological sizes, and this article explains its definition, properties, and a practical rainfall‑modeling case study.

EnvironmentFinancelognormal distribution
0 likes · 5 min read
Why Lognormal Distribution Is Key to Modeling Rainfall and Financial Data
DataFunTalk
DataFunTalk
Jul 8, 2024 · Big Data

Data Applications in Retail Supply Chain: Challenges, Architecture, Control Tower, and Finance

This article outlines the digital transformation of retail supply chains, detailing the challenges faced, the layered architecture for data integration, the role of a supply‑chain control tower with AI‑driven capabilities, and the emergence of data‑centric supply‑chain finance solutions.

Artificial IntelligenceDigital TransformationFinance
0 likes · 17 min read
Data Applications in Retail Supply Chain: Challenges, Architecture, Control Tower, and Finance
Python Programming Learning Circle
Python Programming Learning Circle
Jun 26, 2024 · Fundamentals

Building a Simple Financial Calculator with Python and Tkinter

This article demonstrates how to create a functional financial calculator in Python using the Tkinter GUI library, covering installation, UI design, implementation of compound interest, present value, annuity, and loan payment calculations, along with sample code and usage examples.

FinanceFinancial CalculatorGUI
0 likes · 6 min read
Building a Simple Financial Calculator with Python and Tkinter
ZhongAn Tech Team
ZhongAn Tech Team
May 13, 2024 · Artificial Intelligence

Weekly Tech Overview: AI Advances, Mobile Game Store, and Industry Insights

This weekly tech roundup covers Microsoft’s upcoming mobile game store, Alibaba Cloud’s Tongyi Qianwen 2.5 AI model, Google DeepMind’s AlphaFold 3 for drug discovery, TikTok’s AI‑content labeling, 神州信息’s AI‑native product, Apple’s on‑device AI chips, expert views on scaling laws, and news on Fei‑Fei Li’s startup, Apple’s China tax, and Buffett’s Apple stake reduction.

AIAI infrastructureCloud Computing
0 likes · 7 min read
Weekly Tech Overview: AI Advances, Mobile Game Store, and Industry Insights
AntTech
AntTech
Apr 25, 2024 · Artificial Intelligence

Highlights of the 2024 National Standards Committee AI Sub‑Committee Conference Week and Ant Group’s Contributions

The 2024 National Standards Committee AI Sub‑Committee Conference Week in Hangzhou gathered over 400 experts to discuss AI standardization and showcased Ant Group’s large‑model applications in finance and healthcare, while announcing new work‑group leadership and numerous national and industry AI standards the company has helped develop.

Ant GroupArtificial IntelligenceFinance
0 likes · 6 min read
Highlights of the 2024 National Standards Committee AI Sub‑Committee Conference Week and Ant Group’s Contributions
DataFunSummit
DataFunSummit
Feb 3, 2024 · Artificial Intelligence

Practical Application of Large Language Models in MaShang Consumer Finance: From Model Building to Deployment

This article details how MaShang Consumer Finance leverages large language models for sales, collection, and customer service, covering company background, AI research achievements, model training infrastructure, data‑quality and compliance challenges, prompt engineering, inference acceleration, evaluation methods, and lessons learned from real‑world deployment.

Data qualityFinanceLLM
0 likes · 21 min read
Practical Application of Large Language Models in MaShang Consumer Finance: From Model Building to Deployment
DataFunSummit
DataFunSummit
Jan 14, 2024 · Artificial Intelligence

Large Language Model Innovations for the Financial Industry: From General to Finance‑Specific Models, Training Techniques, Evaluation Methods, and Real‑World Applications

This article details how the financial sector is adopting large language models, describing the shift from generic to finance‑specific models, the technical challenges and cost considerations, the XuanYuan model releases, novel training and evaluation approaches, and a range of practical applications such as marketing, service, operations, office assistance, and risk control.

AIFinanceapplications
0 likes · 17 min read
Large Language Model Innovations for the Financial Industry: From General to Finance‑Specific Models, Training Techniques, Evaluation Methods, and Real‑World Applications
Model Perspective
Model Perspective
Sep 25, 2023 · Fundamentals

How Mathematical Modeling Turns Data into Money: From Finance to E‑Commerce

This article explores how mathematical modeling serves as a profit‑driving tool across finance, industry, e‑commerce and personal finance, explaining core concepts, classic models like Black‑Scholes, optimization techniques, recommendation algorithms, and practical formulas for individual wealth planning.

FinanceRecommendation systemsindustrial engineering
0 likes · 8 min read
How Mathematical Modeling Turns Data into Money: From Finance to E‑Commerce
AntTech
AntTech
Sep 21, 2023 · Artificial Intelligence

AFAC2023 Financial Intelligence Challenge Highlights and the Release of the Fin‑Eval Dataset

The inaugural AFAC2023 Financial Intelligence Challenge, co‑organized by the China Computer Federation and Ant Group, attracted over 4,700 teams, showcased cutting‑edge AI solutions for finance such as market opinion generation, compliance detection, and pet‑age recognition, and culminated in the public launch of the Fin‑Eval benchmark dataset for financial large‑model evaluation.

AIFin-EvalFinance
0 likes · 12 min read
AFAC2023 Financial Intelligence Challenge Highlights and the Release of the Fin‑Eval Dataset
DataFunTalk
DataFunTalk
Sep 2, 2023 · Artificial Intelligence

Artificial Intelligence in the Financial Sector: Applications, Challenges, and Future Trends – Interview with Li Jinlong

This interview explores how artificial intelligence, especially large language models, is transforming banking through digitalization, personalized services, risk management, and operational automation, while also highlighting data, model, and compute challenges that financial institutions must address to sustain AI-driven innovation.

Artificial IntelligenceDigital TransformationFinance
0 likes · 10 min read
Artificial Intelligence in the Financial Sector: Applications, Challenges, and Future Trends – Interview with Li Jinlong
DataFunSummit
DataFunSummit
Aug 29, 2023 · Artificial Intelligence

Artificial Intelligence in the Financial Sector: Background, Current Practices, Challenges, and Future Trends

The interview explores how artificial intelligence, driven by large models, data, and computing power, is transforming banking through digitalization, outlines current AI applications in finance, highlights challenges such as data ecosystems, model risk, and compute costs, and forecasts future trends toward personalized services, automation, and smarter risk management.

AIChallengesFinance
0 likes · 10 min read
Artificial Intelligence in the Financial Sector: Background, Current Practices, Challenges, and Future Trends
AntTech
AntTech
Aug 8, 2023 · Artificial Intelligence

AIGC Reshapes the Financial Service Chain, Driving New Efficiency and Ecosystem

The 4th China AI Competition results conference highlighted how generative AI (AIGC) is being integrated into Ant Group's financial services to automate workflows, enhance marketing creativity, and improve claim processing, promising exponential efficiency gains, new customer experiences, and a transformed industry ecosystem.

AIGCArtificial IntelligenceFinance
0 likes · 7 min read
AIGC Reshapes the Financial Service Chain, Driving New Efficiency and Ecosystem
Cloud Native Technology Community
Cloud Native Technology Community
Apr 25, 2023 · Cloud Native

2022‑2023 Cloud‑Native Technology Survey in the Financial Industry

The 2022‑2023 CNBPA cloud‑native survey of 294 financial institutions reveals that hybrid multi‑cloud deployments, FinOps cost‑management, platform‑engineered DevOps, and increasing adoption of containers, micro‑services, and bare‑metal servers are driving a rapid shift toward cloud‑native architectures across banks, insurers, securities firms and other financial entities.

ContainersDevOpsFinOps
0 likes · 9 min read
2022‑2023 Cloud‑Native Technology Survey in the Financial Industry
DataFunTalk
DataFunTalk
Jan 7, 2023 · Artificial Intelligence

How to Better Leverage Data in Causal Inference

This presentation introduces two recent works from Ant Group that improve causal inference by explicitly using historical control data to reduce selection bias and by fusing heterogeneous multi‑source data, describing the GBCT and WMDL methods, their theoretical foundations, experimental results, and practical applications in finance.

Financebias correctioncausal inference
0 likes · 18 min read
How to Better Leverage Data in Causal Inference
Model Perspective
Model Perspective
Dec 29, 2022 · Fundamentals

Build an Optimal Stock Portfolio with Markowitz Mean‑Variance Model in Python

This article explains how to model and solve a three‑stock portfolio optimization problem using Markowitz's mean‑variance framework, compute asset statistics with Python, and obtain the optimal allocation via quadratic programming.

FinanceMarkowitz modelPython
0 likes · 6 min read
Build an Optimal Stock Portfolio with Markowitz Mean‑Variance Model in Python