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



WiMi Hologram Cloud Inc. (NASDAQ: WIMI) (“WiMi” or the “Company”), a leading global Hologram Augmented Reality (“AR”) Technology provider, today 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. These frameworks include methods such as supervised learning, unsupervised learning and deep learning. Users can choose the appropriate framework and algorithm according to their project requirements.

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.

With our conceptual visual coding and AutoAIM analytical platform, users are able to approach marketing program development more intuitively and flexibly. They can quickly build and adapt workflows without having to delve into the underlying programming language and algorithmic details. This enables marketing teams to better collaborate, share, and reuse workflows to increase productivity and accelerate the execution and development of marketing applications.

The technology and logic of the AutoAIM platform are reflected in the following areas:

Visual programming: the AutoAIM platform uses a visual-based programming approach to transform complex machine learning algorithms and processes into intuitive graphical interfaces and drag-and-drop functionality. This approach enables marketing professionals to quickly create and implement machine learning projects without an in-depth knowledge of programming languages. Users can build their own ML models by combining different modules with simple operations, and make real-time adjustments and optimizations.

Real-time repository: the AutoAIM platform provides a real-time repository with five annotated sample projects. These projects cover a variety of areas such as customer churn, sentiment analysis, automated image analysis, search engine optimization and customer experience. Users can learn and draw from these examples to understand the application of machine learning in different marketing scenarios, and customize and improve them in their own projects.

Implementation recommendations: more than just a tool for creating and implementing ML projects, the AutoAIM platform provides powerful implementation recommendations. By analyzing data and algorithm performance, the platform is able to provide users with real-time feedback and recommendations. These recommendations can help users optimize their marketing strategies and improve the accuracy and effectiveness of machine learning models.

Workflow sharing and reuse: the AutoAIM platform allows users to learn, share and reuse workflows. Users can save the workflows they create on the platform and share them with other users. This type of knowledge sharing and collaboration promotes learning and exchange among marketing professionals and accelerates the application and innovation of machine learning in marketing.

The AutoAIM platform will significantly drive growth and innovation in the AI marketing space. By streamlining the process of creating and implementing machine learning programs, the platform enables more marketing professionals to leverage AI technology to improve the effectiveness and efficiency of marketing campaigns. Over time, AutoAIM will continue to optimize and expand its platform to meet market needs and continue to lead innovation in the AI marketing.

WiMi’s technical team utilized advanced techniques and algorithms in developing the AutoAIM platform. They have combined the latest research findings in the fields of machine learning, data mining and natural language processing into practically usable tools and features. The library of algorithms and models within the platform is constantly updated and expanded to ensure that users have access to the latest technologies and methodologies to solve marketing challenges.WiMi’s AutoAIM platform is highly flexible. The platform’s basic frame is based on distributed systems and cloud computing technology, capable of handling large-scale data and complex computing tasks. At the same time, the platform supports integration with various data sources and marketing tools, enabling users to easily import data from existing systems and apply machine learning to actual marketing campaigns.

WiMi has been committed to the development of innovative technologies and is also developing new AI advertising and marketing markets based on its business strengths. Currently, WiMi has developed workflows based on AI and machine learning technologies applied in the field of marketing. WiMi provides marketing professionals with an innovative solution that enables them to easily create, share and reuse workflows for ML projects. The platform talked about in this article provides marketing professionals with powerful tools to implement ML projects and incorporate the benefits of machine learning in their marketing strategies through a visualization-based programming approach. Its technological innovations and capabilities enable marketing professionals to better understand and leverage data for more accurate and personalized campaigns.

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.

About WIMI Hologram Cloud

WIMI Hologram Cloud, Inc. (NASDAQ:WIMI) is a holographic cloud comprehensive technical solution provider that focuses on professional areas including holographic AR automotive HUD software, 3D holographic pulse LiDAR, head-mounted light field holographic equipment, holographic semiconductor, holographic cloud software, holographic car navigation and others. Its services and holographic AR technologies include holographic AR automotive application, 3D holographic pulse LiDAR technology, holographic vision semiconductor technology, holographic software development, holographic AR advertising technology, holographic AR entertainment technology, holographic ARSDK payment, interactive holographic communication and other holographic AR technologies.


KaarTech Expands Digital Transformation Footprint with Acquisition of Dunn Solutions Group Inc.




KaarTech , a global Digital Transformation Consulting company, is excited to announce its latest strategic move in the world of digital transformation. The company has broadened its’ capabilities and geography by successfully acquiring Dunn Solutions Group Inc. , a leading Customer Experience Solutions Consultancy headquartered in Chicago, Illinois.

Founded in 2006, KaarTech has solidified its position as a key player within the SAP ecosystem. With a proven track record of delivering digital transformation success across various sectors, including Discrete Manufacturing, Process Manufacturing, and Consumer Packaged Goods, KaarTech has carved a niche for itself. The company has also developed proprietary intellectual property, KEBS for Professional Services and KTern.AI for SAP Digital Transformation , reinforcing its reputation as a formidable force in the Digital Transformation Arena.

Founded in 1988, Dunn Solutions is headquartered outside of Chicago and has offices both in Minneapolis and Bengaluru. The company has carved its niche as a Digital Commerce and Business Transformation Consultancy. Their core mission revolves around delivering unmatched velocity and transformative solutions to their clients.

This strategic acquisition facilitated by Eiliant Advisors, a Bangalore based Investment Banking Firm, marks a watershed moment for KaarTech as it combines its extensive SAP domain expertise, especially in SAP S/4HANA, with Dunn Solutions’ prowess in Digital Customer Experience.

Speaking about the acquisition, Mr. Maran Nagarajan, CEO of KaarTech, says, “We are excited to join forces with Dunn Solutions to accelerate our vision of redefining Digital Transformation. This partnership brings together the best of both worlds – our SAP expertise and Dunn Solutions’ prowess in Customer Experience – to create a transformative force that will deliver exceptional value to our clients.”

This union not only broadens the horizontal scope of KaarTech’s services but also strengthens its commitment to providing cutting-edge digital solutions that drive business growth and competitiveness. With this partnership, KaarTech solidifies its position as a true leader in the Digital Transformation Arena.

Mr. Bill Dunn, CEO of Dunn Solutions, says “KaarTech has earned a reputation as a key driver of SAP innovation across a number of verticals over the years globally, and we are excited to join them as we look to leverage the assets and experience of Dunn Solutions to continue building on KaarTech’s success in the Digital Transformation Space.”

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Insurtech Named Among Most Innovative Insurtech Companies by FinTech Global



Prestigious InsurTech100 List for 2023 Recognizes the Austrian AI Pioneer’s Contribution to Transforming Insurance Processes today announced that they have been named to FinTech Global’s Sixth Edition of its prestigious InsurTech100 list for 2023. The ranking celebrates the groundbreaking tech companies that are developing solutions to the insurance industry’s most daunting challenges.

Our approach to intelligent document processing paves the way for insurers to explore a wealth of new opportunities, differentiating them from competitors in the digital transformation journey.

Over the last couple of years, insurance firms have faced an uphill battle to rapidly digitize their services and meet the evolving customer demands, nurturing a competitive landscape of Insurtech companies. This meant this year’s battle to earn a spot amongst the 100 InsurTech visionaries was intense. A select group of analysts and seasoned industry specialists sifted through a list of over 1,900 contenders presented by FinTech Global. The chosen few were acknowledged for their inventive technological applications either to solve a major industry challenge or to bolster efficiency throughout the insurance value chain.

“FinTech Global acknowledges for the second consecutive time’s role in revolutionizing document-centric processes within the insurance sector,” said Rainer Kegel, CEO of “It’s incredibly gratifying to be recognized for our efforts in addressing a significant industry challenge, namely reducing the need for human intervention in the document review process. Our approach to intelligent document processing paves the way for insurers to explore a wealth of new opportunities, differentiating them from competitors in the digital transformation journey.”

Quoting group benefits is probably one of the most challenging insurance processes as it requires the analysis of many documents of variable types and structures.’s intelligent document processing solution extracts, interprets and classifies complex information found in terms and provisions and is for example able to detect the best plan matching a competitor’s policy. “Large insurance carriers employ hundreds of people to manually review policies before submitting a quote for group benefits,” said Kegel. “Our solutions help them prepare more accurate quotes faster, and consequently close more deals.”’s Intelligent Document Processing (IDP) solutions leverage a unique approach to natural language understanding called Semantic Folding to reach unmatched levels of accuracy with unstructured text.’s solutions automatically search, extract and classify complex information from various documents such as insurance policies and emails with attachment, helping insurance companies eliminate quoting errors, improve customer response times and reduce labor intensive processes.

FinTech Global director Richard Sachar said, “The widespread availability of generative AI capabilities has opened the doors for even greater innovation within insurance. We’re entering a new wave of digitalization and insurance firms need to be prepared. The InsurTech100 will help top-level insurance executives in discerning the tech pioneers revolutionizing key areas like underwriting, pricing, distribution, and data analytics.”

About delivers highly efficient AI-based solutions that help enterprises unlock the value of unstructured text by leveraging a game-changing approach to Natural Language Understanding (NLU). SemanticPro is an intelligent document processing solution that accurately extracts, analyzes and classifies information based on meaning and builds the basis for document workflow automation. With more than 10 years expertise in implementing NLU solutions in the enterprise, has demonstrated its ability to solve the challenges of language ambiguity and variability across many use cases and verticals for Fortune 500 companies. has offices in the U.S. (New York and San Francisco) and Europe (Vienna).

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Boston based Startup Mona Lee Secures $3.25M Seed Round to Redefine the Clean Energy Experience for Consumers



Converting to sustainable energy can be a costly and confusing process for consumers. Mona Lee is moving the clean energy industry forward with its innovative and customer-centric approach, allowing homeowners to install solar panels and storage for 40-50% lower costs than what the competition offers.

Mona Lee, a Boston-based startup founded by former Tesla employee Walid Halty, has announced the successful closure of a $3.25 million seed funding round. The round included investments from prominent players in the technology and consumer sectors, such as Ludlow Ventures, Shrug VC, Palm Tree Crew (founded by Norwegian DJ Kygo), Coalition Operators, Plug and Play Ventures, and The Pags Group, owned by Boston Celtics’ owner Steve Pagliuca.

“Residential clean energy is a massive opportunity and we are excited to be redefining the buying and installation experience for eager consumers,” said CEO and Cofounder Walid Halty.

Mona Lee is on a mission to make solar, storage and EV charging installation for homes affordable and hassle-free. Since its launch, the company has experienced remarkable growth, installing in over 7 states with over 150 new customers per month and an average cost-per-order of $28,000.

The potential for growth in the home solar and storage industry is staggering, with an estimated $250 billion opportunity over the next six years alone. With 142 million homes in the U.S. and only 2 million having switched to solar in the past two decades, Mona Lee aims to tap into the remaining 140 million homes expected to adopt solar power alone by 2029.

The passage of the Inflation Reduction Act has fueled consumer interest in clean energy in recent years and Mona Lee has met the moment. The company’s unique selling proposition lies in its AI-powered buying experience. Mona Lee’s technology demystifies the process of designing and purchasing a complete solar panel and storage system for homes, while cutting costs for consumers by 40-50%.

Mona Lee’s CEO, Walid Halty, shared his excitement about the company’s recent funding success, stating, “This funding round is a testament to the need for Mona Lee’s innovative approach in the home solar and storage industry. We are committed to making solar and storage installation a no-brainer for all homeowners, and this investment will allow us to further accelerate our growth and expand our reach.”

With its innovative technology and commitment to bringing affordable and seamless solar and storage installation to homes across the country, Mona Lee is poised to redefine the clean energy experience for consumers.

About Mona Lee

Mona Lee is a Boston-based startup co-founded by Walid Halty, an ex-Tesla employee. The company is focused on making solar installation affordable and hassle-free for homeowners. With its AI-powered design and buying experience, Mona Lee aims to simplify the process of purchasing and installing a complete solar panel system–enabling every home to fulfill its own energy needs, while contributing to a more sustainable future.

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