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// Leading Digital Transformation in Enterprises

Digital Transformation Services

In this rapidly evolving digital era, we are committed to helping businesses achieve digital transformation, enhancing operational efficiency, improving customer experiences, and innovating business models.

Explore our services to embark on your transformation journey.

// WWINNO. Digital Transformation Insights

Four-Stage Progression to Achieve Digital Innovation

Digital transformation is not a single breakthrough or innovation, but rather the cumulative result of building from the foundation to create organizational effectiveness. It starts with establishing specifications and rules based on the current state of business operations and gradually progresses through the application and stacking of data, digital technologies, and other tools to realize the significant advantages brought about by digital transformation.

01

Standardized processes lay the foundation for digitalization.

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Standardization

Standardization
01

Integrating information systems to enhance resource management efficiency.

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Systemization

Systemization
01

Using technology to reduce manual operations and improve operational efficiency.

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Automation

Automation
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Leveraging AI and machine learning to achieve data-driven decision-making.

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Smartification

Smartification
// Digital Transformation Services

Consulting and Implementation

Business Model Analysis and Market Research
Business Intelligence tools for in-depth data analysis, market trend insights, and collection and analysis of consumer feedback.

// Cloud, Artificial Intelligence, Programming Systems

Application Technology Domains

Cloud Platform

Google Cloud Platform (GCP)
- BigQuery: A big data analysis tool that supports fast SQL queries.
- Cloud Storage: Highly scalable object storage solution.
- Cloud Dataflow: A fully managed service for stream and batch data processing.
- Cloud Dataproc: Simplifies the usage of Apache Spark and Apache Hadoop.
Amazon Web Services (AWS)
- Amazon S3: Flexible object storage supporting large-scale data analysis.
- Amazon EC2: Provides scalable computing capacity.
- Amazon Redshift: An efficient data warehouse service.
- AWS Lambda: Supports serverless computing services.

Artificial Intelligence and Machine Learning

Google Cloud Platform (GCP)
- AI Platform: A comprehensive development platform supporting full lifecycle management of machine learning models.
- Cloud AutoML: Enables developers and data scientists to train high-quality models.
Amazon Web Services (AWS)
- Amazon SageMaker: Simplifies the building, training, and deployment of machine learning models.
- AWS Glue: A fully managed ETL (Extract, Transform, Load) service supporting data analytics and machine learning projects.
Large Language Models (LLM)
- OpenAI GPT-3: An advanced natural language processing model that supports various tasks such as text generation, translation, summarization, and more.
- Azure Cognitive Services: Provides a range of cloud-based cognitive services, including language understanding and text analysis LLM services.
- Hugging Face Transformers: A widely used open-source library that provides various pre-trained large language models supporting natural language processing tasks.
MLOps
- KKubeflow: An open-source machine learning automation deployment and pipeline management tool based on Kubernetes, supporting cross-cloud and on-premises environments.

Big Data Processing and Analysis

Programming Languages and Technologies
- Python: Boasts a rich ecosystem of data processing and analysis libraries such as Pandas and NumPy.
- Scala: Tightly integrated with Apache Spark, supporting efficient big data processing.
Data Stream Processing
- Apache Kafka Streams: Technology used for real-time data stream processing.
- Apache Flink: A high-performance, scalable stream processing framework supporting real-time data analytics and processing.