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Revolutionize electricity demand prediction with our AI-driven solution. Experience tailored load forecasting for various zones and buses, considering environmental factors, week types, and holidays. Empower your decisions with our unparalleled short-term and ultra-short-term forecast, transforming power dispatch, grid planning, and distribution operation. Embrace the future of energy management with Zensys Forecaster.

The game-changing solar power forecasting solution on the ZenData Platform. Unlock superior performance with our AI-driven model that leverages historical solar power generation and weather data for precise predictions. Empower your organization with accurate solar generation planning, leading to enhanced energy efficiency. Experience the future of sustainable energy management with Zensys Forecaster.

Introducing "SolarSentry Pro" - revolutionize your solar farm monitoring with our cutting-edge data mining technology. Experience noise-free insights as our system generates an accurate baseline I-V curve for your entire solar farm. Effortlessly pinpoint abnormal branches and group strings by comparing them to the fitted curve. Streamline maintenance and optimize performance with SolarSentry Pro's automated fault reporting and classification, ensuring your solar farm operates at peak efficiency.

Introducing "FuelWise Pro" - optimize fuel consumption with our cutting-edge predictive analytics on the ZenData Platform. Harness the power of real-time series data analysis to unveil the intricate relationship between fuel consumption and power generation. Experience unparalleled efficiency as FuelWise Pro's AI-driven model accurately forecasts fuel consumption for any given power generation scenario. Transform your energy management and embrace sustainable operations with FuelWise Pro.

At present, mainstream utilities predominantly depend on empirical methods for electricity distribution. Nevertheless, as smart grid technology permeates the industry, the intricacy of power system production, operation, sales, and management processes amplifies, generating a wealth of data. Consequently, relying solely on past experience and empiricism is no longer viable. By harnessing the formidable synergy of big data, cloud computing, and artificial intelligence technology, with power big d

Discover the all-in-one security solution, featuring data annotation, model training, and application building: 1. Area Intrusion Detection: Create rule lines and visualize detection rules. Our system automatically tracks human or vehicle activity in designated areas. 2. Smoke and Fire Detection: Real-time monitoring, pinpointing smoke or flames, and providing instant alerts for rapid response.

Upgrade your security measures with our innovative, streamlined solution.

In competitive markets, businesses shift to customer-centric approaches. Our innovative solution utilizes customer behavior data to predict churn likelihood accurately. Armed with this insight, relationship managers can proactively address retention issues and implement targeted promotions. By fostering loyalty and maximizing customer lifetime value, companies can maintain their competitive edge and drive long-term success in today's customer-centric landscape.

Leveraging AI technology offers a significant improvement over traditional human-analyzed fraud detection methods for purchases. With AI, businesses can swiftly identify and prevent fraudulent activities as they occur in real-time. This proactive approach effectively blocks malicious users and transactions, ensuring a secure environment for businesses while enhancing customer experiences and trust, ultimately contributing to long-term success and stability in an increasingly digitalized world.

Health insurance companies face challenges predicting medical costs due to rare conditions. Our model accurately forecasts costs using individuals' data, including age, BMI, and smoking habits. This enables insurers to optimize financial management, ensuring sustainability and comprehensive coverage for clients.

Our recommendation system employs offline and real-time data to construct recommendation models. We utilize bulk offline data to create offline models and transaction data and real-time buried data to generate real-time models. The hybrid results are pushed to users through notifications based on weighted scores, promoting transaction growth and enhancing click-through rates on the app. It can provide personalized recommendations to users, increasing engagement and promoting growth.

It is designed to target high net worth customers by analyzing their daily relationship balances using machine learning. By leveraging customer behavior data, our solution can predict the likelihood of asset and customer churn, enabling businesses to take proactive measures to retain these valuable customers. With this solution, businesses can identify potential risks and implement targeted promotions and retention strategies, ultimately reducing customer churn and promoting long-term success. 

Our financial scoring tools model risk control efficiently across various financial scenarios. Key features include ID card parsing, IP address parsing, credit bureau information digest, and access to standard modeling wide table data. Scoring applies to areas like personal credit, enterprise rating, fraud detection, and risk quantification, improving efficiency in the financial industry.

Our OCR-based solution simplifies the process of entering bank return copies into ERP by automatically extracting fields using template recognition. Our dynamic matching algorithm adjusts special fields to meet the template. Integration with ERP  is easy using the REST API interface of ZenData Platform. Pilots in over 15 banks have achieved more than 99% in automated template matching. The finance department only needs to upload scanned receipts in batches, and our solution handles the rest.

Introducing our advanced AI Model, designed to extract essential bank transaction details from intricate, multilingual SMS messages with ease. By leveraging AI, the system accurately identifies key information such as transfer amount, currency, card number, merchant, available balance, and balance currency. This streamlined approach simplifies financial management for users worldwide, enhancing their experience and promoting seamless, cross-language accessibility for a truly global solution.

Our Abnormal Transaction Detection on ZenData Platform uses advanced graph algorithms to detect suspicious activity between multiple users, generating automatic reports on any detected abnormalities. This enables organizations to proactively identify and prevent financial losses caused by fraudulent transactions, fostering a secure financial environment.

It builds a knowledge graph using control relationships, supplemented with corporate, partnership, and executive associations. Enterprises are aggregated at three levels: actual control group, group, and faction. The graph supports various business scenarios, including unified compliance credit granting, risk spreading, abnormal capital flow analysis, and targeted marketing, enabling data-driven decisions, enhanced efficiency, and reduced risks.

It employs an innovative approach to identify risk events by training a model on ZenData Platform using financial news information from multiple databases. The model is designed to extract key risk factors and analyze them in real-time, delivering accurate and reliable risk event identification with up to 90% accuracy. This advanced technology empowers organizations to proactively manage potential risks, safeguarding financial stability and promoting long-term success. 

Our solution replaces cold calls with personalized sales pitches and specialized products, maximizing potential and enhancing customer experiences. By analyzing customer data, we predict future installment behavior, driving sales growth and loyalty. Our advanced technology enables businesses to deliver exceptional customer experiences, staying ahead of the curve. Our data-driven approach improves engagement, satisfaction, and success, offering a valuable alternative to traditional telemarketing.

Our OCR-based solution automates the time-consuming task of recording reports and work orders. By employing OCR technology, our system captures multiple fields without human intervention, reducing manual labor and increasing efficiency. Data sources are preprocessed and connected to the client's business system, enabling easy integration. Clients can upload scanned copies of documents in batches, and our system will automatically apply templates and extract data.

This model, developed on ZenData Platform, utilizes cotton futures trading data to forecast daily positions, providing business staff with valuable insights for monitoring the futures market. This solution offers accurate and reliable forecasts, helping organizations make informed decisions about their investments in cotton futures. By leveraging the power of ML, this model offers an efficient and effective way to stay ahead of the competition and maximize returns.

Our solution combines CCTV with computer vision technology to remotely tally offenders and detect abnormal activities in multi-story buildings. Using an edge computing server and pre-defined AI models, real-time video streams can be analyzed and alerts generated for potential issues such as fights or illegal climbing. The system improves efficiency and enhances security in prisons and other similar settings.

This solution focuses on identifying potential risk factors in gas stations to ensure safe operations. It involves analyzing the degree of risk, identifying abnormal states within the station, and providing safety condition evaluations for business personnel. The data used for analysis is unlabeled.

ZenData Platform offers a centralized solution for managing hardware resources and machine learning models, supporting third-party solutions in extracting valuable insights from CCTV footage.

ZenData Platform offers a smart mechanism for detecting red light runners using computer vision and facial recognition technology, along with the status of traffic signals. The solution covers a range of subjects, including vehicles, bicycles, and pedestrians. Offenders receive automatic warning and fine suggestions, subject to approval by relevant authorities. The solution provides an efficient and effective way to improve road safety and reduce traffic violations.

Using AI algorithms for image recognition and video analysis, the solution can provide real-time identification of illegal dumping behavior and capture the timestamp and location of the offense through CCTV cameras. This automated process eliminates the need for manual intervention by law enforcement agents and sends the data to the city transportation data center automatically 24/7.

Our solution enables remote and intelligent warehouse management using computer vision and automation. Our computer vision engine identifies irregular human behaviors and fire hazards, reducing manual inspections and improving operational recording efficiency. The deployed edge computing product ZenEdge enables remote management of all feeds from a single location, enhancing operational efficiency and reducing costs while improving productivity and safety.

Our solution utilizes advanced algorithms to quickly identify potential direct flight paths, determine the optimal balance point for carrying fuel based on historical data, and optimize flight altitude layers. These methods significantly reduce fuel consumption and operational costs for airlines, while also contributing to environmental sustainability efforts. 

Our solution uses a range of data sources to develop a comprehensive logistics optimization solution. By building models using machine learning and optimization algorithms, we achieve multi-level optimization, including vehicle scheduling, transportation cost reduction, and improved efficiency. Our solution also incorporates business rules to ensure compliance and enhance safety. The solution is proved to achieve higher efficiency and reduced cost.

Our solution offers real-time identification of visitors and analysis of their behavior, providing data-driven recommendations for airline ticket campaigns. It also supports advertising, flight arrangement, and fare formulation by utilizing advanced data analytics. This approach enhances precision marketing and improves operational efficiency, enabling airlines to stay ahead of the competition and maximize their potential. 

This project on ZenData Platform establishes a real-time marketing model that enables timely adjustment of marketing strategies. It collects data from multiple sources in real-time and bridges the gap between different channels. Additionally, it incorporates a real-time rule engine and dynamic strategy adjustment capabilities, resulting in efficient and effective marketing campaigns.

It utilizes a vast amount of user data to create user portraits that include basic information, customer preferences, social and purchase features, as well as other dynamic attributes. Using AI, customers are grouped together to allow for more precise and efficient marketing strategies. By utilizing this approach, businesses can better understand their customers and target their marketing efforts more effectively, ultimately leading to improved customer satisfaction and increased revenue.

Deep learning is leveraged to accurately predict future cellular data traffic from t+1 to t+15, considering the differing power supply strategies between busy and idle states of base stations. Additionally, ML models are used to predict if the base station needs hardware upgrades to handle increased traffic loads. The accurate predictions enable network operators to proactively manage the infrastructure and make informed decisions to prevent network congestion and improve user experience.