Monday, December 23, 2024

WiMi Developed Execution Platform for AutoAIM Analytics to Facilitate Machine Learning in Marketing

Related stories

Doc.com Expands AI developments to Revolutionize Healthcare Access

Doc.com, a pioneering healthcare technology company, proudly announces the development...

Amesite Announces AI-Powered NurseMagic™ Growth in Marketing Reach to Key Markets

Amesite Inc., creator of the AI-powered NurseMagic™ app, announces...

Quantiphi Joins AWS Generative AI Partner Innovation Alliance

Quantiphi, an AI-first digital engineering company, has been named...
spot_imgspot_img

WiMi Hologram Cloud Inc, a leading global Hologram Augmented Reality (AR) Technology provider, announced that it developed the AutoAIM (Automatic Artificial Intelligence Marketing) analytical execution platform, which uses visual-based programming to organize ML (Machine Learning) more intuitively, facilitating the application and understanding of ML in marketing.

WiMi’s AutoAIM implements ML in marketing by creating a real-time repository of projects and making implementation recommendations for ML in marketing. In this repository, users can learn, share and reuse workflows (visualization code). Visual modular coding is a visual representation-based programming approach for extending Machine Learning (ML) in the marketing domain. It organizes ML projects in an intuitive way through configurable nodes. Our visual programming approach is easier to understand and use than traditional script-based coding interfaces.

AutoAIM analysis platform is a software tool based on visual programming. It provides an intuitive interface that allows users to build and design ML projects by dragging and connecting nodes. These nodes represent different functional components such as data preprocessing, feature extraction, model selection and evaluation. Users are free to select and configure these nodes to build their own workflows according to their project needs. To support different marketing needs and approaches, several ML frameworks are used in AutoAIM.

Also Read: HCLSoftware Launches AI-Fueled Marketing Cloud

In terms of technical execution, users first need to import and prepare their marketing data. They can use the data preprocessing nodes provided by AutoAIM to perform operations such as data filtering, feature selection and transformation. Next, users can select the appropriate model node and connect it to the data processing node. In the model node, the user can configure the parameters and hyperparameters of the model, as well as select appropriate evaluation metrics. Once the workflow is configured, users can execute the ML project and observe the results. AutoAIM provides visualization tools and charts to help users analyze and interpret the model output. Users can also adjust nodes and parameters in the workflow and optimize as needed.

WiMi believes that AI and machine learning technologies will play an increasingly important role in marketing, and WiMi will continue to help marketing professionals better meet market challenges and improve the effectiveness and ROI of their marketing campaigns through innovative solutions and platforms. WiMi will also continue to improve and upgrade its platform to meet the market’s needs and users’ expectations, and looks forward to working with more marketing professionals and companies to achieve better marketing results. WiMi will continue to improve and upgrade its platform to meet market needs and users’ expectations, and looks forward to working with more marketing professionals and companies to promote the development of AI in the field of marketing and realize more excellent marketing results.

SOURCE: PRNewswire

Subscribe

- Never miss a story with notifications


    Latest stories

    spot_img