Whale Cloud AIStudio is an end-to-end platform for annotating, training, and deploying machine learning models. It helps enterprises build unified AI platforms where intelligent data annotation, automated model training, and exposure of AI capabilities can be realized with ease, which lowers the threshold for AI technologies, and accelerates AI applications while boosting enterprise automation and innovation.
Benefits
24/7 services with low costs
Instant support can be provided for the customers by integrating AI into workflows (e.g., customer service) and providing round-the-clock services, which gains customer satisfaction while cutting down the operation costs.
5x rise in marketing conversion rate
Based on smart recommendations given by the ML models, marketers can get assistance in providing customers with personalized contents, which greatly boosts customer engagement and marketing conversion rate.
80% savings of the manpower
Scenario-based AI capabilities enable smart verification and inspection that saves the manpower while enhancing the efficiency.
Time to market for tailored AI capabilities reduced by 50%
Publishing customized AI capabilities was made faster by smart data labeling, automatic training and open platforms provided by the unified AIStudio Platform.
24/7 services with low costs
Instant support can be provided for the customers by integrating AI into workflows (e.g., customer service) and providing round-the-clock services, which gains customer satisfaction while cutting down the operation costs.
5x rise in marketing conversion rate
Based on smart recommendations given by the ML models, marketers can get assistance in providing customers with personalized contents, which greatly boosts customer engagement and marketing conversion rate.
80% savings of the manpower
Scenario-based AI capabilities enable smart verification and inspection that saves the manpower while enhancing the efficiency.
Time to market for tailored AI capabilities reduced by 50%
Publishing customized AI capabilities was made faster by smart data labeling, automatic training and open platforms provided by the unified AIStudio Platform.
Features
A variety of AI and machine learning products
Various products provided through APIs or SDKs, such as Natural Language Processing, Optical Character Recognition, and Image Recognition, speed up the construction of intelligent scenarios.
AI-assisted data labeling
AI-enabled tools for image, voice, and text-based labeling greatly improves data labeling efficiency, and ensures high-quality data for model training.
Automated AI model training
Training your own AI models in the low-code environment with AI platform that supports Tensorflow, Keras, and Pytorch. No machine learning expertise required!
AI marketplace to accelerate application innovation
Managing and exposing AI capabilities in e-commerce and marketplace formats to meet the needs for application innovation inside and outside the companies.
Unified AI infrastructure management
Building a unified O&M platforms based on microservice and DevOps to provide monitoring capabilities from both system and business perspectives.
A variety of AI and machine learning products
Various products provided through APIs or SDKs, such as Natural Language Processing, Optical Character Recognition, and Image Recognition, speed up the construction of intelligent scenarios.
AI-assisted data labeling
AI-enabled tools for image, voice, and text-based labeling greatly improves data labeling efficiency, and ensures high-quality data for model training.
Automated AI model training
Training your own AI models in the low-code environment with AI platform that supports Tensorflow, Keras, and Pytorch. No machine learning expertise required!
AI marketplace to accelerate application innovation
Managing and exposing AI capabilities in e-commerce and marketplace formats to meet the needs for application innovation inside and outside the companies.
Unified AI infrastructure management
Building a unified O&M platforms based on microservice and DevOps to provide monitoring capabilities from both system and business perspectives.
Scenarios
Constructing credit scoring systems with financial industry standards
Nowadays, telecom operators are becoming increasingly involved in providing microfinance services. However, traditional regulation systems based on experiences are bringing high risks. Learning from the successful experiences from the online financial industry, you can build your machine learning model through AIStudio’s Model Training Platform to discover factors that affect customers’ credit behavior through their historical transaction (borrowing & lending) data, and integrate such results with your decision process for financial service handling.ZSmart Credit Scoring is a solution just for that, which is built with Whale Cloud’s best practices within the telecom industry and aims to help CSPs manage customer credits and risks with precision.
Building smart customer service robot
Smart voice interaction technology is built on the cutting-edge technologies of voice recognition, voice synthesis and natural language understanding. It supports the construction of intelligent customer service platforms with APIs and SDKs.Whale Cloud also integrated such technology into our customer service solution – ZSmart Intelligent Robot, therefore it can listen to, understand and interact with the customers, so as to provide the customers with an immersive human-computer interaction experience.
Getting insights into your customers with the help of AI
Regulations and the operators’ requirements against frauds require the service system to implement real-name registration. Compared to manual verifications, AI technologies for certification recognition, facial comparison and liveness detection will largely boost the efficiency and effectiveness for verifications. Whale Cloud also pre-integrated these SDKs into our solutions (e.g., CRM, DSCM) which provide out-of-the-box eKYC functionalities.Moreover, you can also train specific recognition models for various types of certificates by using the Data Labeling Platform provided by the AIStudio.
Integrating AI capabilities into existing business processes
Automating business processes is undoubtedly one of the most crucial steps for digital transformation within enterprises. By reforming former manual processes with AI technologies, business processes can be made automated and intelligent, which greatly boosts the efficiency while saving more costs.Whale Cloud has plenty of successful experiences in this field. For instance, for the opening of postpaid accounts, we introduced auto-recognition and auto-fill-in for related certificate, document as well as bank card information, and some account openings are exempted from further verifications based on the applicant’s credit score. By doing this we helped the business staff get rid of those repetitive and low-value work and get them more concentrated on more important or valuable work.
Setting up intelligent recommendation engine
One typical use case for machine learning is product recommendation. You can use the Model Training Platform from the AIStudio to discover factors that influence your customers’ purchasing behavior, and thus boost your sales with accurate product recommendations based on the results.Whale Cloud has already included a recommendation engine module in our Digital Marketing Suite, which we developed with experiences from our best practices.
Constructing credit scoring systems with financial industry standards
Nowadays, telecom operators are becoming increasingly involved in providing microfinance services. However, traditional regulation systems based on experiences are bringing high risks. Learning from the successful experiences from the online financial industry, you can build your machine learning model through AIStudio’s Model Training Platform to discover factors that affect customers’ credit behavior through their historical transaction (borrowing & lending) data, and integrate such results with your decision process for financial service handling.ZSmart Credit Scoring is a solution just for that, which is built with Whale Cloud’s best practices within the telecom industry and aims to help CSPs manage customer credits and risks with precision.
Building smart customer service robot
Smart voice interaction technology is built on the cutting-edge technologies of voice recognition, voice synthesis and natural language understanding. It supports the construction of intelligent customer service platforms with APIs and SDKs.Whale Cloud also integrated such technology into our customer service solution – ZSmart Intelligent Robot, therefore it can listen to, understand and interact with the customers, so as to provide the customers with an immersive human-computer interaction experience.
Getting insights into your customers with the help of AI
Regulations and the operators’ requirements against frauds require the service system to implement real-name registration. Compared to manual verifications, AI technologies for certification recognition, facial comparison and liveness detection will largely boost the efficiency and effectiveness for verifications. Whale Cloud also pre-integrated these SDKs into our solutions (e.g., CRM, DSCM) which provide out-of-the-box eKYC functionalities.Moreover, you can also train specific recognition models for various types of certificates by using the Data Labeling Platform provided by the AIStudio.
Integrating AI capabilities into existing business processes
Automating business processes is undoubtedly one of the most crucial steps for digital transformation within enterprises. By reforming former manual processes with AI technologies, business processes can be made automated and intelligent, which greatly boosts the efficiency while saving more costs.Whale Cloud has plenty of successful experiences in this field. For instance, for the opening of postpaid accounts, we introduced auto-recognition and auto-fill-in for related certificate, document as well as bank card information, and some account openings are exempted from further verifications based on the applicant’s credit score. By doing this we helped the business staff get rid of those repetitive and low-value work and get them more concentrated on more important or valuable work.
Setting up intelligent recommendation engine
One typical use case for machine learning is product recommendation. You can use the Model Training Platform from the AIStudio to discover factors that influence your customers’ purchasing behavior, and thus boost your sales with accurate product recommendations based on the results.Whale Cloud has already included a recommendation engine module in our Digital Marketing Suite, which we developed with experiences from our best practices.
Constructing credit scoring systems with financial industry standards
Nowadays, telecom operators are becoming increasingly involved in providing microfinance services. However, traditional regulation systems based on experiences are bringing high risks. Learning from the successful experiences from the online financial industry, you can build your machine learning model through AIStudio’s Model Training Platform to discover factors that affect customers’ credit behavior through their historical transaction (borrowing & lending) data, and integrate such results with your decision process for financial service handling.ZSmart Credit Scoring is a solution just for that, which is built with Whale Cloud’s best practices within the telecom industry and aims to help CSPs manage customer credits and risks with precision.
Scenarios
Building smart customer service robot
Smart voice interaction technology is built on the cutting-edge technologies of voice recognition, voice synthesis and natural language understanding. It supports the construction of intelligent customer service platforms with APIs and SDKs.Whale Cloud also integrated such technology into our customer service solution – ZSmart Intelligent Robot, therefore it can listen to, understand and interact with the customers, so as to provide the customers with an immersive human-computer interaction experience.
Getting insights into your customers with the help of AI
Regulations and the operators’ requirements against frauds require the service system to implement real-name registration. Compared to manual verifications, AI technologies for certification recognition, facial comparison and liveness detection will largely boost the efficiency and effectiveness for verifications. Whale Cloud also pre-integrated these SDKs into our solutions (e.g., CRM, DSCM) which provide out-of-the-box eKYC functionalities.Moreover, you can also train specific recognition models for various types of certificates by using the Data Labeling Platform provided by the AIStudio.
Integrating AI capabilities into existing business processes
Automating business processes is undoubtedly one of the most crucial steps for digital transformation within enterprises. By reforming former manual processes with AI technologies, business processes can be made automated and intelligent, which greatly boosts the efficiency while saving more costs.Whale Cloud has plenty of successful experiences in this field. For instance, for the opening of postpaid accounts, we introduced auto-recognition and auto-fill-in for related certificate, document as well as bank card information, and some account openings are exempted from further verifications based on the applicant’s credit score. By doing this we helped the business staff get rid of those repetitive and low-value work and get them more concentrated on more important or valuable work.
Setting up intelligent recommendation engine
One typical use case for machine learning is product recommendation. You can use the Model Training Platform from the AIStudio to discover factors that influence your customers’ purchasing behavior, and thus boost your sales with accurate product recommendations based on the results.Whale Cloud has already included a recommendation engine module in our Digital Marketing Suite, which we developed with experiences from our best practices.
Constructing credit scoring systems with financial industry standards
Nowadays, telecom operators are becoming increasingly involved in providing microfinance services. However, traditional regulation systems based on experiences are bringing high risks. Learning from the successful experiences from the online financial industry, you can build your machine learning model through AIStudio’s Model Training Platform to discover factors that affect customers’ credit behavior through their historical transaction (borrowing & lending) data, and integrate such results with your decision process for financial service handling.ZSmart Credit Scoring is a solution just for that, which is built with Whale Cloud’s best practices within the telecom industry and aims to help CSPs manage customer credits and risks with precision.
Case & Story
How AI extends automation value?
Whale Cloud provided M Group and its branches with an agile and future-ready platform - AI Mid-End to reduce costs and improve operation efficiency.
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