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

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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.

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Yango showcases latest innovations to transform urban transport at Mobility Live ME

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Abu Dhabi, UAE, Yango, an international tech company, made a significant impact as the Silver Sponsor at Mobility Live ME, the region’s most crucial event focusing on disruptive technology in mobility. Being committed to leveraging the power of technology to improve its users’ lives, Yango showcased its latest products and innovations and presented insights tailored to the MENA region’s evolving demands.

Building on its reputation for unique service offerings, the company recently launched Yango Drive, a comprehensive car rental marketplace integrated within the Yango SuperApp that is gaining substantial traction in Dubai. It features a digital booking system that offers an array of 3,500 cars, providing a seamless, high-quality rental experience from booking to return. This service reflects Yango’s commitment to comfort, convenience, and sustainability, supporting the shift towards shared mobility and aligning with the UAE’s Net Zero 2050 and Dubai Urban Plan 2040 initiatives.

Furthermore, in alignment with its dedication to enriching local communities, the ‘Prayer Mode’ for Muslim drivers was recently launched during the holy month of Ramadan. This feature facilitates drivers’ adherence to prayer schedules and includes innovative mapping and smart routing technologies to locate the nearest mosques. The app also mutes notifications during prayer times and provides directions to the Qibla, ensuring drivers can seamlessly balance their professional responsibilities with their religious practices.

Islam Abdul Karim, General Manager, Yango GCC, said: “We have seen great demand for our services since our entry into the market and are dedicated to developing a safe and comfortable urban transport system to keep up with this demand. With technology at the heart of our mission, we are not just responding to the current status but are actively shaping the future of mobility with innovative solutions and features. We will continue to set new standards in the industry, contributing to creating smart, sustainable cities.”

Islam spoke in a panel discussion at Mobility Live: “Movers and Shapers: Shining a Spotlight on the Game-Changers in Modern Transport Systems.” Shashi Shekhar Singh, Director of New Markets at Yango, delivered a keynote speech on the “Future of Mobility,” delving into how the company redefines urban mobility.

The company’s commitment to innovation is reflected in its diverse range of services, including Yango Maps, Yango ride-hailing service, Yango Play, Yango Tech, the advanced Arabic human-like AI voice assistant Yasmina, and many more, all of which are designed to enhance the everyday lives of local communities. As one of the leading apps in the region, the company is committed to supporting local transport providers, creating jobs, and fostering long-term partnerships with local communities and governments.

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Trident IoT Launches Taurus Z-Wave Series Silicon

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Chip series and SDK support next-generation Z-Wave capabilities for the global market.

Trident IoT, an RF technology and engineering company focused on decreasing time-to-market for connected device manufacturers, today announced the release of the new Taurus Z-Wave Series of silicon solutions.

The Trident IoT Taurus Z-Wave Series will encompass system-on-chip (SoC) solutions and modules that support the latest advancements in Z-Wave technology, including Z-Wave Long Range (ZWLR) for the U.S. and the implementation of the ZWLR European specification. The Taurus Z-Wave Series will ship with an SDK based on Open Z-Wave Specification Release 2024A.

“The Taurus Series gives global manufacturers access to cutting-edge Z-Wave capabilities,” said Trident IoT co-founder Bill Scheffler. “This silicon series and SDK will be the first to implement the ZWLR European specification, accelerating IoT product development worldwide.”

Taurus Series Silicon Specifications
The Taurus Series is based on an ultra-low power, high performance Z-Wave SoC. The Taurus SoC solution is designed to enable Z-Wave solutions with class-leading battery life, range, and memory.

Taurus Series chips feature an ARM® Cortex®-M33 microprocessor, 1MB of flash program memory, and 288KB of SRAM data memory for exceptional processing and response time. The powerful sub-GHz radios transmit at +20dBm and +14 dBm, enabling communication over distances up to 1+ miles.

Taurus chips support Z-Wave Plus, Z-Wave Plus v2 and ZWLR, enabling the development of highly secure, reliable, scalable, and backwards-compatible solutions for smart home, hospitality, multi-dwelling units and more. Using the ZWLR 12-bit addressing space, the Taurus Series supports networks of up to 4000 nodes; Taurus chips also leverage ZWLR dynamic power control, enabling end point battery life of up to ten years from a single coin-cell battery.

“ZWLR is a revolutionary technology, with the power to expand the reach, scale and utility of IoT applications while preserving full backward compatibility with currently deployed Z-Wave devices,” said Avi Rosenthal, Z-Wave Alliance Chairman of the Board. “This new Z-Wave silicon offering, paired with the Trident IoT SDK and design services, will enable more Z-Wave Alliance members to take advantage of ZWLR capabilities, bringing exciting new products to market faster around the globe.”

End-to-End Product Development Support
In line with the company’s mission to decrease time-to-market for IoT devices, Trident IoT will offer end-to-end engineering consultation for new products integrating Taurus Series silicon. In addition to the Taurus Series SDK, Trident IoT customers will also have access to an exclusive library of both Z-Wave and ZWLR device and sensor reference designs, created to accelerate the development of innovative new edge-of-property applications.

Trident IoT also offers in-depth consulting from some of the industry’s foremost experts on wireless connectivity, including Z-Wave technology. “Trident IoT was launched in response to a gap in the availability of IoT product design services,” says Mariusz Malkowski, Trident IoT CTO and founder. “The demand for consultation has been extraordinary: in just six months we’ve had to double our engineering resources.”

To support the development of market-ready products, the Trident IoT lab is fully equipped and available for Z-Wave, Z-Wave Plus v2, and ZWLR end product compliance and testing.

By providing silicon, design services, and in-house compliance testing, Trident IoT can help device manufacturers decrease time-to-market for new Z-Wave products by more than 60%. According to Kevin Kraus, VP of Technology Alliances and IoT Business Development, Yale – Fortune Brands Innovation, “In-depth consulting services from the Trident IoT team will be an invaluable accelerator for Fortune Brands, helping us to bring new Z-Wave-certified products to market in the near future. With the launch of this new single-die silicon solution, we look forward to collaborating on new devices with next-generation capabilities, including long-range and potentially even multi-protocol devices.”

Taurus Series Previews for Product Developers
Taurus Series silicon will begin shipping at scale in Q4 2024. In the meantime, Trident IoT will issue Taurus Series samples to select partners for initial testing and product development.

About Trident IoT:
Trident IoT is a technology and engineering company focused on simplifying RF development, increasing product success rates, and decreasing time-to-market for connected device manufacturers. Founded by a team of IoT veterans with over a century of industry knowledge, Trident IoT is aimed at making connected devices work as intended. With an initial focus on companies manufacturing Z-Wave devices, Trident IoT seeks to expand and build new relationships through a human connection at every level, including certification and market knowledge. 

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Generative AI Surge Triggers Nationwide Rush for New Data Center Infrastructure

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Demand for new AI Data Centers which are powering the rise of such popular AI platforms as OpenAI’s ChatGPT is being grossly underestimated according to analysts at this year’s Bloomberg Intelligence summit. The ongoing generative AI boom is kicking off a rush for new data centers, and the providers of the infrastructure behind them. With this boom comes many challenges including power supplies and the price of necessary hardware. For 9 of the top 10 US electric utilities, data centers have been the main source of customer growth, according to analysis made by Reuters. The booming Global Data Center Market is expected to hit US$792.3 billion by 2032, according to Astute Analytica, while analysts at Christian & Timbers have identified what they believe will be a 27% increase in AI data center talent demand in 2024 over 2023. Behind the scenes are several developers advancing the data center surge, who over the last week updated the market with recent developments, including: Avant Technologies Inc. (OTC: AVAI), Alphabet Inc. (NASDAQ: GOOG) (NASDAQ: GOOGL) (NEO: GOOG), Meta Platforms, Inc. (NASDAQ: META) (NEO: META), Pegasystems Inc. (NASDAQ: PEGA), and Advanced Micro Devices, Inc. (NASDAQ: AMD).

The article continued: Some experts are raising concerns that the AI revolution itself could crash the existing supply of data centers, and create a serious capacity shortage worldwide. All the while, Fortune is declaring private equity firms as the early winners in the race to feed AI’s infrastructure demands.

Avant Technologies to Implement AI-Empowered, Zero Trust Architecture in Its Data Centers

Avant Technologies, Inc. (OTCQB: AVAI) (“Avant” or the “Company”), an artificial intelligence technology (AI) company specializing in the development of advanced AI and data center infrastructure solutions, announced today its plans to implement a Zero Trust Architecture (ZTA) framework powered by AI within its data center operations. Avant asserts that this strategic move is aimed at providing the highest level of security for its customers’ critical data.

“By integrating AI with Zero Trust Architecture, we are creating a robust and future-proof security framework for our data centers,” stated William Hisey, Chief Executive Officer at Avant. “This combined approach ensures the highest level of security for our customers’ data while optimizing data center operations for efficiency and cost-effectiveness. Avant is committed to providing innovative technology to help businesses optimize data center operations, improve resource utilization, and enhance security.”

ZTA is a security model that eliminates the concept of inherent trust within a network. It assumes that all users, devices, and workloads – regardless of location – must be continuously verified before granting access to resources. Implementing AI-controlled ZTA allows Avant to achieve continuous authentication and authorization, enhanced threat detection and response, dynamic access controls, and adaptive security policies.

Avant’s ZTA implementation aligns seamlessly with its existing AI-powered data center management focus. The company’s AI technology already provides predictive analytics and optimization, automated incident response, and enhanced cooling efficiency.

In other industry developments and happenings in the market this week include:

Alphabet Inc. (NASDAQ: GOOG) (NASDAQ: GOOGL) (NEO: GOOG), best known as the parent company of Google and YouTube, recently broke ground on Google’s fourth data center in the Netherlands, as confirmed by Senior Operations Manager in a LinkedIn post. Valued at ~US$643 million, Google says the new data center will create 125 new jobs and has pledged to prioritize sustainability. The announcement is in line with the company’s commitment to invest billions of dollars in 2024 both inside the USA and abroad, where they’ve also announced plans to build a $1 billion data center campus in Kansas City, Missouri, and another $576-million data center project in Cedar Rapids, Iowa.

“Organizations and governments in the Netherlands are increasingly moving to the cloud,” said Google in a statement. “Cloud computing usage has almost doubled in the Netherlands in the last five years. The rise in demand is why Google is investing in digital infrastructure, which helps expand everybody’s access to information.”

Meta Platforms, Inc. (NASDAQ: META) (NEO: META), best known as the parent company of Facebook, WhatsApp and Instagram, announced plans to “accelerate infrastructure investments” for AI, including plans to spend billions of dollars more on servers and data centers. However, the initial response to the Facebook parent company’s plans was not positive. According to CEO Mark Zuckerberg, Meta plans to increase spending ahead of generating much revenue from their new products, reassuring his investors-call audience that Meta has a strong track record of monetizing new AI services once they reach scale.

“We anticipate our full-year 2024 capital expenditures will be in the range of $35-40 billion, increased from our prior range of $30-37 billion as we continue to accelerate our infrastructure investments to support our artificial intelligence (AI) roadmap,” said Susan Li, CFO for Meta Platforms in the quarterly financial report. “While we are not providing guidance for years beyond 2024, we expect capital expenditures will continue to increase next year as we invest aggressively to support our ambitious AI research and product development efforts.”

Pegasystems Inc. (NASDAQ: PEGA), the leading enterprise AI decisioning and workflow automation platform provider, recently announced its Q1 2024 financial results, highlighting’s the company’s outstanding cash flow and margin expansion in the quarter.

“The strong cash generation in Q1 demonstrates the power of a SaaS business,” said Ken Stillwell, COO and CFO of Pegasystems. “Given our financial strength and differentiated GenAI capabilities, we are in a great position to accelerate profitable growth.”

The financial results came just over a week from the company introduced its Pega Gena™ Coach, a generative AI-powered mentor for Pega solutions that proactively advises users to help them achieve optimal outcomes. Coach analyzes existing opportunity, lead, contact, and interaction data within Pega Sales Automation™ and offers suggestions to help overcome barriers in moving deals forward.

Advanced Micro Devices, Inc. (NASDAQ: AMD), a global semiconductor company, has credited its decision seven years ago to discontinue making monolithic datacenter chips in favor of a chiplet architecture with helping cut global greenhouse gas (GHG) emissions by tens of thousands of metric tons per year.

“Chiplets not only avoid waste and conserve resources in manufacturing, but also in the data centers powering the digital services and experiences we use daily,” said Justin Murrill, Director of Corporate Responsibility for AMD. “Each chiplet houses multiple processor cores, and different chiplets can be added and even stacked in a package to create higher-performance and more energy efficient processors.”

AMD’s EPYC processors are at the forefront in powering the most energy-efficient x86 servers available today. Employing these leading servers significantly reduces the number of physical servers required to fulfill computing needs. This reduction has a broad environmental benefit, including decreased use of raw materials, less manufacturing and shipping, reduced energy consumption, and minimized data center space requirements. Such advantages are vital for businesses aiming to upgrade their data center infrastructure and enhance computational capacity while actively striving to meet sustainability objectives.

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