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BaseModel.ai

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Snowflake2024-12-06 更新2024-12-07 收录
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# Apply science to behavioral data. Automatically. BaseModel.ai is a Snowflake Native App designed to revolutionize how organizations leverage behavioral data for predictive analytics and decision-making. BaseModel enables building private **behavioral foundation models** that processes raw data to deliver actionable predictions. This approach eliminates the need for time-consuming feature engineering and manual data handling, empowering data science teams to focus on high-value tasks like interpreting results and refining business strategies - a single data scientist becomes supercharged 10x 🚀 <p><br/></p> ## Creating business value from all of data you have, fast. Organizations generates massive amounts of data from different touchpoints with clients. They store information about users, products, and services, that should be used to increase revenue and optimize business operations. BaseModel.ai lays universal foundations for modeling behavior, which allows to: - Predict future behavior of the client. - Hyperpersonalize every interaction with end-customer. - Create many models much quicker. - Decrease time from business idea to production and leverages AI fast. - Easily create multiple models to fit different business scenarios without running separate expensive projects. - Predict complex behaviors such as sequence of events. <p><br/></p> ## Key features and benefits: - State of the Art performance - enables hyper-personalized customer experiences by accurately predicting customer needs and preferences proven in real life business scenarios as well as benchmarks against top AI powerhouses. - Automated Data Transformation - eliminates manual data handling by automating the preprocessing of raw behavioral data. - Rapid Deployment - reduces time from idea to actionable results to just one week, accelerating AI adoption. - Scalable and Flexible - rasily create multiple AI models for different business scenarios without the need for separate projects. - Secure and Compliant - operates entirely within the customer's Snowflake environment, ensuring data privacy and compliance with enterprise-grade security standards. <p><br/></p> ## Benchmarks: BaseModel.ai significantly outperforms Meta AI's HSTU in sequential recommendation tasks, achieving up to **292.4%** improvement over previous state-of-the-art models like SASRec. Additionally, BaseModel offers superior training and inference efficiency, completing processes in a fraction of the time required by HSTU. [Read more](https://sair.synerise.com/basemodel-vs-meta-ais-hstu-for-sequential-recommendations/)<br/><br/>Basemodel.ai surpasses TIGER in sequential recommendation tasks, achieving up to **61.57%** improvement over TIGER's results on the same datasets. Additionally, BaseModel's training and inference processes are significantly faster, as it avoids the computationally intensive beam-search decoding used in TIGER. [Read more](https://sair.synerise.com/basemodel-vs-tiger-for-sequential-recommendations/) <p><br/></p> <p><br/></p>

# 以科学方法自动化处理行为数据。 BaseModel.ai 是一款**Snowflake原生应用(Snowflake Native App)**,旨在彻底变革各组织利用行为数据开展预测分析与决策的方式。BaseModel 支持构建私有**行为基础模型(behavioral foundation models)**,该模型可处理原始数据并生成可落地的预测结果。此方案无需开展耗时的特征工程与手动数据处理,让数据科学团队得以专注于解读结果、优化业务战略等高价值任务——单名数据科学家的效能可提升10倍🚀 <p><br/></p> # 快速从全量数据中创造商业价值。 各组织可从与客户的各类接触点获取海量数据,其中存储的用户、产品与服务相关信息,本应用于提升营收、优化业务运营。 BaseModel.ai 为行为建模奠定通用基础,可实现以下功能: - 预测客户的未来行为 - 为终端客户的每一次交互提供超个性化服务 - 更快构建多模型 - 缩短商业创意到落地的时间,快速落地人工智能应用 - 无需开展单独的高成本项目,即可轻松创建适配不同业务场景的多模型 - 预测诸如事件序列等复杂行为 <p><br/></p> ## 核心特性与优势: - 顶尖性能:可精准预测客户需求与偏好,打造超个性化的客户体验,该能力已在真实商业场景中得到验证,并可与顶尖人工智能巨头的模型对标。 - 自动化数据转换:通过自动化原始行为数据的预处理,消除手动数据处理环节。 - 快速部署:将创意到可落地成果的周期缩短至仅一周,加速人工智能应用落地。 - 可扩展且灵活:无需单独开展项目,即可轻松为不同业务场景创建多个人工智能模型。 - 安全合规:完全运行于客户自身的Snowflake环境中,可确保数据隐私,并符合企业级安全标准。 <p><br/></p> ## 性能基准: BaseModel.ai 在序列推荐任务中显著优于Meta AI的HSTU,相较此前的顶尖模型SASRec,性能提升可达**292.4%**。此外,BaseModel的训练与推理效率更优,完成全流程的耗时仅为HSTU的一小部分。[了解更多](https://sair.synerise.com/basemodel-vs-meta-ais-hstu-for-sequential-recommendations/)<br/><br/>BaseModel.ai 在序列推荐任务中超越TIGER,在相同数据集上相较TIGER的性能提升可达**61.57%**。此外,由于规避了TIGER中计算成本高昂的**束搜索解码(beam-search decoding)**流程,BaseModel的训练与推理速度显著更快。[了解更多](https://sair.synerise.com/basemodel-vs-tiger-for-sequential-recommendations/) <p><br/></p> <p><br/></p>
提供机构:
Synerise
创建时间:
2024-10-29
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背景概述
BaseModel.ai是一个Snowflake原生应用,通过自动化处理原始行为数据构建私有行为基础模型,显著提升预测分析和决策效率。该平台在顺序推荐任务中表现卓越,性能超越Meta AI的HSTU和TIGER等先进模型,同时确保数据隐私和合规性。
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