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数据与人工智能

 

企业希望利用其数据资产实现最大化的业务价值。但低效的战略、复杂的基础架构和陈旧的流程令达成这一目标步履维艰。如果企业的数字化转型战略中缺少数据视角的思考,那么数字化产品团队就难以借力数据服务,企业高管也无法获得优化决策所需的数据支撑。

 

针对这一问题,行之有效的解决方法是——用经过实践验证的数据战略来解决基础架构的复杂性问题,并确保在业务运营中有效地融合数据管理和数据分析。充分利用数据工程、数据战略和分析以及机器学习的优势,让数据创新举措持续高效地产生价值,并最终通过数据生态系统创造巨大的价值。

 

Our services include

Data governance
Data governance

Treat data as a product and implement governance policies and solutions that enable your users.

Data strategy
Data strategy

Build data literacy into your strategy and processes to create lean and flexible plans to exploit business opportunities.

Data platforms
Data platforms

Build solutions to consume, store, process and integrate diverse data services with a continuous delivery mindset.

Data mesh
Data mesh

Apply a product mindset and modern software engineering methods to your data challenges.

CD4ML
CD4ML

Adapt the principles of continuous delivery to take your ML models from prototype to production.

Intelligent products
Intelligent products

Build ML-driven systems to embed intelligence in your products.

Advanced analytics
Advanced analytics

Modernize your business intelligence capabilities to enable deeper insights.

数据专精、工程严谨、架构创新

 

能否高效持续地从数据中挖掘价值,关键依赖于其潜在的技术和文化基础。没有敏捷开发和数据运维,数据民主化无从谈起。想要成为数据驱动型企业,必然需要依托科学的基础架构,每天进行高速数据实验,并据此做出更明智的决策。

 

Thoughtworks开创了当今许多标准行业惯例,例如敏捷交付、持续交付和微服务等。 我们始终保持创新,分布式数据平台架构 Data Mesh 就是最新成果。利用这些标准行业惯例,我们将帮助您以数据为核心,创造差异化竞争优势。现在如此,将来也是如此。

 

与Thoughtworks的合作,仿佛像是和一个团队的同事一起工作。我们打造了一款产品,并在预算范围内按时交付了产品,因此,这确实是一次激动人心的开发工作,并且是一次很好的合作关系。
Bernadette Minton
数据科学解决方案副总裁,MCG Health

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Our practice leads

Danilo Sato
Danilo Sato

Head of Data & AI, UK

John Spens
John Spens

Director

Sudhir Tiwari
Sudhir Tiwari

Managing Director, India

Sue Visic
Sue Visic

Director, Data & AI, Australia

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