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Embedded AI Market worth $18.0 billion by 2028 – Exclusive Report by MarketsandMarkets™

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CHICAGO, June 22, 2023 /PRNewswire/ — Because of rising demand for smart devices and IoT, advancements in AI technology, the rise of edge computing, the development of autonomous systems, applications across various sectors, miniaturisation and energy efficiency, and the importance of data privacy and security, the future of the Embedded AI market appears promising. As AI becomes an intrinsic aspect of embedded systems, boosting their functionality and decision-making skills, this industry is likely to increase significantly.
The global Embedded AI Market is projected to grow from USD 9.4 billion in 2023 to USD 18.0 billion by 2028 at a compound annual growth rate (CAGR) of 14.0% during the forecast period, according to a new report by MarketsandMarkets™. The Embedded AI Market is expected to grow significantly during the forecast period, owing to various business drivers like growing demand for intelligent and autonomous systems for a personalized experience and increasing advancements in AI and ML technologies for better and smart decisions. Furthermore, the proliferation of connected devices and IoT ecosystem for effective communications and the rising usage of Embedded AI for industry-specific applications drive market growth.
Browse in-depth TOC on “Embedded AI Market”271 – Tables 55 – Figures320 – Pages
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Scope of the Report
Report Metrics
Details
Market size available for years
2017–2028
Base year considered
2022
Forecast period
2023–2028
Forecast units
USD (Billion)
Segments covered
Offering, Data Type, Vertical, and Region
Geographies covered
North America, Asia Pacific, Europe, the Middle East & Africa, and Latin America
Companies covered
Google (US), IBM (US), Microsoft (US), AWS (US), NVIDIA (US), Intel (US), Qualcomm (US), Arm (UK), AMD (US), MediaTek (Taiwan), Oracle (US), Salesforce (US), NXP (Netherlands), Lattice (Oregon), Octonion (Switzerland), NeuroPace (US), Siemens (Germany), HPE (US), LUIS Technology (Germany), Code Time Technologies (Canada), HiSilicon (China), VectorBlox (Canada), Au-Zone Technologies (Canada), STMicroelectronics (Switzerland), SenseTime (Hong Kong), Edge Impulse (US), Perceive (US), Eta Compute (US), SensiML (US), Syntiant (US), Graphcore (UK), and SiMa.ai (US).
By offering, Services to register for the highest CAGR during the forecast period
The scope of the services segment comprises training and consulting, system integration and implementation, and support and maintenance. The services segment of the Embedded AI Market is growing rapidly as businesses increasingly look to outsource the development and deployment of AI solutions. This is due to a number of factors, including the complexity of developing AI-powered applications, the need for specialized expertise, and the high cost of in-house development. Businesses looking to adopt AI should consider the services segment as a viable option for developing and deploying AI solutions.
By data type, numeric data to register for the highest market size during the forecast period
The increasing demand for real-time data processing and analysis boosts the demand for numeric data type in the Embedded AI Market. Numeric data plays a crucial role in the Embedded AI Market, forming the foundation for training, optimizing, and deploying AI models on embedded systems. Numeric data captured by sensors, cameras, or other sources in real-time serves as input to the deployed AI models, allowing them to process the data and generate actionable outputs promptly. This is crucial for robotics, autonomous vehicles, or industrial automation applications, where quick decision-making is required.
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By region, Asia Pacific to account for the highest growth rate during the forecast period
Embedded AI adoption in the Asia Pacific region is experiencing significant growth. It is driven by several factors, including the region’s strong manufacturing base, rapid urbanization, increasing demand for IoT applications, and advancements in AI technologies. With strong government support, a thriving startup ecosystem, and investments in AI infrastructure, the Asia Pacific market presents significant growth opportunities for Embedded AI technologies and solutions.
Top Key Companies in Embedded AI Market:
Some major players in the Embedded AI Market include Google (US), IBM (US), Microsoft (US), AWS (US), NVIDIA (US), Intel (US), Qualcomm (US), Arm (UK), AMD (US), MediaTek (Taiwan), Oracle (US), Salesforce (US), NXP (The Netherlands), Lattice (US), Octonion (Switzerland), NeuroPace (US), Siemens (Germany), HPE (US), LUIS Technology (Germany), Code Time Technologies (Canada), HiSilicon (China), VectorBlox (Canada), AU-Zone Technologies (Canada), STMicroelectronics (Switzerland), SenseTime (Hong Kong), Edge Impulse (US), Perceive (US), Eta Compute (US), SensiML (US), Syntiant (US), Graphcore (UK), and SiMa.ai (US).
Recent Developments:
In April 2023, IBM announced the launch of Watson Edge for Financial Services, a solution that helps financial institutions deploy AI at the edge to improve customer service, fraud detection, and risk management.In April 2023, Qualcomm Technologies partnered with eInfochips, an Arrow company, to launch Edge Labs. Edge Labs is a program that will help developers and innovators accelerate the development and deployment of AI applications for embedded devices. This partnership will help developers and innovators accelerate developing and deploying AI applications for embedded devices. Edge Labs will provide developers with access to Qualcomm’s expertise in AI and eInfochips’ development and deployment services.In March 2023, Arm partnered with Google Cloud to bring Arm-based solutions to the Google Cloud Platform (GCP). The partnership is expected to help Arm customers take advantage of GCP’s AI and machine learning capabilities and to help Google Cloud customers deploy Arm-based solutions.In March 2023, IBM acquired Instana, an application performance monitoring software provider. The acquisition will help IBM to expand its edge AI capabilities and provide customers with a more comprehensive view of their applications.In March 2023, the AI-powered tool has been designed to assist Microsoft 365 users in performing various tasks, such as troubleshooting, training, and onboarding. Microsoft 365 Copilot, as an embedded AI technology, is integrated within a broader software ecosystem and has been created to function seamlessly with other Microsoft 365 products and services.In October 2022, Intel partnered with Amazon Web Services (AWS) to bring Intel-based solutions to AWS. The partnership is expected to help Intel customers use AWS’s AI and machine learning capabilities to help AWS customers deploy Intel-based solutions.In June 2022, Microsoft announced a partnership with NVIDIA to accelerate the development and deployment of edge AI applications. The partnership will combine Microsoft’s Azure platform with NVIDIA’s AI hardware and software to create a more comprehensive solution for edge computing.In Jan 2022, IBM partnered with Google Cloud to accelerate the development and deployment of edge AI applications. The partnership will combine IBM’s AI and ML expertise with Google Cloud’s infrastructure and AI capabilities.Inquiry Before Buying @ https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=261207150
Embedded AI Market Advantages:
Sensitive data no longer needs to be sent to external servers or the cloud for processing thanks to embedded AI. Data can be maintained on the device or on a private network by performing AI computations locally, boosting privacy and lowering the possibility of data breaches or unauthorised access. For applications that deal with sensitive data, such those in healthcare or banking, this is essential.Data communication to remote servers is not necessary because embedded AI processes data on the device itself. This allows for quicker response times and considerably lowers latency. When compared to conventional computing architectures, embedded AI also enables optimised hardware-software integration by utilising specialised chips or accelerators to achieve improved speed and energy efficiency.By incorporating AI capabilities directly into devices, no additional infrastructure or cloud-based resources are required. This saves operational costs while simplifying deployment. Furthermore, because the intelligence is dispersed across several devices rather than depending on a centralised server architecture, embedded AI systems grow readily. Because of its scalability and low cost, embedded AI is an appealing solution for both small-scale and large-scale deployments.Embedded AI enables edge devices to make intelligent decisions on their own without relying on ongoing contact with central servers. This provides edge intelligence and autonomy, allowing devices to analyse and respond to data locally, resulting in faster and more efficient operations. Edge intelligence is especially useful in settings requiring real-time judgements, such as autonomous drones or smart manufacturing.By analysing data locally and customising the experience to each user’s preferences and behaviours, embedded AI can enhance user interactions. This makes it possible for devices to offer personalised recommendations, predictive ideas, and customised interactions, improving user engagement and pleasure.Through resource management and local computing, embedded AI systems can reduce their overall energy usage. Embedded AI devices can work effectively with lower energy requirements by minimising the need for data transmission and decreasing dependency on power-hungry cloud servers. For devices like wearables or IoT sensors that run on batteries or have limited resources, this is especially advantageous.Devices with inbuilt AI may carry out complicated calculations locally without largely relying on cloud resources or constant network connectivity. As a result, embedded AI solutions are more readily available and reasonably priced for both organisations and consumers. This decreases network dependence and associated costs. It also makes applications possible in rural or unconnected settings where cloud connectivity can be expensive or scarce.Report Objectives
To define, describe, and predict the Embedded AI Market by offering (hardware, software, and services), data type, vertical, and regionTo provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growthTo analyze the micro markets with respect to individual growth trends, prospects, and their contribution to the total marketTo analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the Embedded AI MarketTo analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leadersTo forecast the market size of segments for five main regions: North America, Europe, Asia Pacific, Middle East & Africa, and Latin AmericaTo profile key players and comprehensively analyze their market rankings and core competenciesTo analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the Embedded AI MarketTo analyze the impact of recession across all the regions across the Embedded AI MarketBrowse Adjacent Markets: Artificial Intelligence (AI) Market Research Reports & Consulting
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Text to Video AI Market – Global Forecast to 2027
Artificial Intelligence Market – Global Forecast to 2027
Cognitive Computing Market- Global Forecast to 2025
About MarketsandMarkets™ 
MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. We have the widest lens on emerging technologies, making us proficient in co-creating supernormal growth for clients.
The B2B economy is witnessing the emergence of $25 trillion of new revenue streams that are substituting existing revenue streams in this decade alone. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines – TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing.
Built on the ‘GIVE Growth’ principle, we work with several Forbes Global 2000 B2B companies – helping them stay relevant in a disruptive ecosystem. Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research. The KnowledgeStore™ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry.
To find out more, visit www.MarketsandMarkets™.com or follow us on Twitter, LinkedIn and Facebook.
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Puyi Fund, Managed by Highest Performances Holdings Inc., Surpasses RMB 24.0 Billion in Assets under Advice, Showing Promising Start to Strategic Transformation

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GUANGZHOU, China, June 25, 2024 /PRNewswire/ — Highest Performances Holdings Inc. (“HPH” or the Group, NASDAQ: HPH), announces that its Puyi Fund’s assets under advice for its asset allocation services reached RMB 24.7 billion as of June 21, 2024, reflecting a remarkable year-on-year growth of 188%. This substantial increase in scale showcases significant growth for the fund.

This accomplishment is primarily attributed to the Puyi Fund’s service philosophy, “long-term commitment to clients and clients’ long-term benefits,” introduced in 2023, as well as the ongoing efforts of the Company in adjusting its product strategy and embracing digital transformation. On one hand, the Company implemented a comprehensive family wealth management account system, redirecting its flagship products towards fixed-income funds and fund portfolios to enhance clients’ perception of wealth acquisition. On the other hand, the Company has elevated its overall service standard through digital transformation, greatly improving the client’s investment experience.
Transforming Product Strategy to Maximize Client Returns
In relation to product strategy transformation, Puyi Fund offers investors a comprehensive solution for managing their family wealth through a scientific approach. This solution guides investors in allocating their investment assets across three types of accounts: Flexible Withdrawal Accounts, Stable Appreciation Accounts, and High-Yield Pursuit Accounts. By considering various market conditions and cycles, investors can make informed decisions on how to distribute their funds among these accounts through a scientific approach for achieving risk mitigation, consistent asset growth, and long-term sustainable investment returns.
Taking into account the prevailing market conditions in China, Puyi Fund advises investors to allocate 25% to 90% of their funds to Stable Appreciation Accounts, depending on their risk tolerance. These accounts primarily involve investing in fixed-income funds, providing investors with consistent and reliable expected returns. By employing the stable appreciation strategy, Puyi Fund aims to restore investors’ confidence in the market, leading to increased trust and recognition. Consequently, Puyi Fund has experienced a period of rapid growth and positive development.
An analysis of data from the Chinese mutual fund market highlights the alignment of Puyi Fund’s client-centric product strategy transformation with market demands. According to Wind data, the market value of the Chinese mutual fund market stood at RMB 25.45 trillion at the end of 2021. By the end of May 2024, this amount grew to RMB 29.09 trillion, representing an increase of RMB 3.64 trillion or 14.30%. The value of equity and hybrid funds, however, experienced a decline from RMB 8.54 trillion to RMB 6.34 trillion, marking a decrease of RMB 2.21 trillion. In contrast, bond funds and money market funds collectively witnessed a significant increase of RMB 5.69 trillion. These market trends suggest that Chinese fund investors are shifting their risk preferences towards lower-risk and higher-certainty assets. Puyi Fund’s strategic transformation is well-positioned to take advantage of this evolving trend.
Enhancing Digital Service Innovation with a Focus on Client Service
In its digital transformation efforts, Puyi Fund places a strong emphasis on “client-centricity” and “service excellence”. By harnessing the power of big data, algorithm mining, and the Sensor Intelligent System, Puyi Fund establishes personalized service scenarios tailored to the unique needs of thousands of individuals. Through meticulous operations that cover the full client lifecycle, Puyi Fund offers full-scope online transactions for both public and private fund clients, establishing a distinctive digital competitive advantage. As of June 2024, the year-to-date client retention rate for fund advisory services stands at 75%, significantly enhancing the likelihood of investment profitability and returns for clients. This success enables clients to truly appreciate the value of advisory services and the time invested in their investments.
Furthermore, Puyi Fund has made continuous advancements in its intelligent client service system, leveraging digital platforms to offer investors comprehensive and efficient services. As of June 2024, the intelligent client service has catered to the needs of approximately 250,000 investors, providing 7*24 services, with a problem resolution rate surpassing 90%. Moreover, Puyi Fund complements intelligent client service with human support, resulting in a client satisfaction rate of 99%. This approach guarantees that investors receive timely and effective assistance whenever required.
Optimizing Trust-Based Communication Channels with Clients
Puyi Fund’s capability to swiftly establish client trust is attributable to its distinctive offline service channels. Unlike other third-party fund sales institutions that heavily rely on online platforms, Puyi Fund provides face-to-face, one-on-one services through offline channels. This approach is especially valuable in navigating complex investment environments, effectively calming investor emotions, enabling them to stay composed and gain a proper understanding of products, ultimately making well-informed investment decisions. Since 2024, Puyi Fund’s research and advisory team has released 28 specialized research reports and organized 19 online client exchanges, along with 35 offline client events, in response to market dynamics and client needs. These initiatives have effectively addressed investors’ concerns and enhanced their confidence.
It is worth mentioning that Puyi Fund’s institutional business has experienced remarkable growth this year, particularly in attracting clients from prominent financial institutions including banks, wealth management subsidiaries, and insurance companies. To cater specifically to institutional investors, Puyi Fund has developed an intelligent over-the-counter fund trading system called “Web-based Institution Master system”. This system provides institutional investors with a wide range of product portfolios, a comprehensive investment research system, and personalized trading experiences. As a result, it comprehensively improves the service quality and efficiency for institutional clients.
As of June 21, Puyi Fund established partnerships with 117 mutual fund companies, including the top 20 fund managers in terms of size, providing access to nearly 11,000 public funds and implementing over 20 customized advisory strategies. In the private fund sector, Puyi Fund has selected over 30 fund managers from the entire market. Of these, 38% manage assets over RMB 10 billion, while 29% manage assets between RMB 5 billion and RMB 10 billion. This selection covers a wide range of mainstream strategy products in the market, catering to the allocation needs of various types of investors.
It is reported that Puyi Fund, an independent third-party fund sales institution holding a fund sales business license issued by the China Securities Regulatory Commission, operates as a subsidiary of Highest Performances Holdings Inc. (NASDAQ: HPH). Embracing the concept of buyer advisor, Puyi Fund is dedicated to delivering comprehensive family financial asset allocation services to individual investors and diversified financial services to institutional investors through its financial technology service platform. With exceptional resource integration capabilities, professional research expertise, and high-quality client service, Puyi Fund strives to cultivate long-term partnerships with clients, catering to their personalized asset allocation needs in various scenarios while assisting a broader range of investors in achieving sustainable long-term returns. As of December 31, 2023, the accumulated assets under Puyi Fund’s allocation advisory services surpassed RMB 75.1 billion, exhibiting a compound annual growth rate of 128.8% from 2015 to 2023.
About Highest Performances Holdings Inc. (NASDAQ: HPH)
HPH was founded in 2010 with the aim of becoming a top provider of smart home and enterprise services. Its mission is to improve the quality of life for families worldwide, focusing on two main driving forces: “technological intelligence” and “capital investments.”HPH has a global strategic perspective and identifies high-quality enterprises with global potential for investment and operations. Its areas of focus include asset allocation, education and study tours, cultural tours, sports events, healthcare and elderly care and family governance.
HPH currently holds controlling interests in two leading financial service providers in China, namely Fanhua Inc., a technology-driven platform, and Fanhua Puyi Fund Distribution Co., Ltd., an independent wealth management service provider.
Highest Performances Holdings Inc., formerly known as Puyi Inc., was renamed on March 13, 2024 to reflect its strategic transformation.

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ID Verify Now Available for Yardi Breeze Premier Clients

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Leading software provider introduces biometric technology as the first step in the resident screening process
SANTA BARBARA, Calif.  , June 25, 2024 /PRNewswire/ — In response to the increase in fraudulent applications in multifamily rentals, Yardi® has launched ID Verify for Yardi Breeze® Premier clients in the United States and Canada. The use of biometrics is emerging as a standard screening practice in North America, as it allows property managers to confirm applicant identities before scheduling a tour.

Employing ID Verify as the initial step in the resident screening process provides Breeze Premier clients with a higher level of fraud prevention. Prospective renters simply upload a selfie and a photo of a government-issued identification document to the cloud. Then ID Verify detects fake IDs and validates real identities, ensuring a secure and reliable screening process. The new technology can also manage resident, visitor and vendor access, enhancing community security.
When paired with ScreeningWorks® Pro in the United States or Yardi® Resident Screening in Canada, property managers centralize resident screening data with their property data. This single source of truth provides multifamily businesses with a deeper understanding of who they’re renting to, ensuring greater confidence and quality in resident selection.
“Rising fraud increases the risks of bad debt,” said Peter Altobelli, vice president and general manager of Yardi Canada Ltd.” However, we’re optimistic that ID Verify will safeguard the future of the multifamily market when implemented as the first step in the resident screening process.”
Book a demo to learn more about ID Verify and how it will benefit your property management business.
About Yardi
Celebrating its 40-year anniversary in 2024, Yardi® develops industry-leading software for all types and sizes of real estate companies across the world. With over 9,000 employees, Yardi is working with our clients to drive significant innovation in the real estate industry. For more information on how Yardi is Energized for Tomorrow, visit yardi.com.
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AI Revolution Accelerates: North American Tech Companies Lead Amid Regulatory Changes

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USA News Group CommentaryIssued on behalf of Scope AI Corp.
VANCOUVER, BC, June 25, 2024 /PRNewswire/ — USA News Group – Tech companies are advancing the artificial intelligence (AI) revolution at breakneck speed. However, new regulations are potentially in the works, as Reuters is already reporting that the USA is moving closer to curbing investments in China’s AI and tech sectors. A draft has already been published, governing investments into China’s emerging tech sector amidst political tensions. While the future of any kind of potential global alliance in AI development doesn’t look likely at this time, several developers in North America are making significant developments in AI that could move the needle in the economy of the West, including from Scope AI Corp. (CSE: SCPE) (OTCQB: SCPCF), Symbotic Inc. (NASDAQ: SYM), Evolv Technologies Holdings, Inc. (NASDAQ: EVLV), MicroStrategy Incorporated (NASDAQ: MSTR), and UiPath Inc. (NYSE: PATH).

As deep machine learning continues to evolve, Scope AI Corp. (CSE: SCPE) (OTCQB: SCPCF) has rebranded and redirected its market focus towards sectors like advertising, gaming, and neural networks, leveraging its advanced GEM (General Enterprise Machine Learning) technology.
Scope AI continues to advance its GEM platform to help businesses develop custom object detection and visual information systems, leveraging the full potential of neural networks. These strategic initiatives have the potential to transform advertising personalization, gaming enhancements, and various neural network applications.
Recently, Scope AI introduced major updates to GEM, aimed at better serving advertising agencies and the gaming sector. These improvements focus on optimizing advertising content and enhancing gameplay experiences with advanced neural network capabilities. By the end of May, Scope AI had partnered with several leading ad agencies and ad networks to understand the primary challenges in analyzing ad creative effectiveness, page layouts, and the associated testing costs and difficulties.
“Our approach is to start with the pain points of our potential users and build solutions based on those insights,” said James Young, CEO of Scope AI Corp. “We believe in understanding the real-world challenges faced by our partners, rather than falling into the common software trap of ‘build it and they will come.’ This collaboration ensures that GEM is not just another tool, but a solution that addresses the specific needs of the advertising community.”
Scope AI’s timing in assisting the advertising industry is impeccable, as global advertising executives grapple with the influx of AI technology. The concern is that widespread use of AI-generated images may result in a lack of distinctiveness. This is where Scope AI’s GEM technology shines, aiding ad executives in distinguishing and delivering their campaigns more effectively.
GEM’s advanced object visual recognition capabilities aim to provide businesses with deeper insights and more precise solutions. As a result, advertisers could potentially analyze consumer behavior more effectively and refine their campaigns, while game developers might create more engaging and immersive user experiences.
“We’re very pleased at how seamless we were able to streamline, enhance, and strengthen our platform with the latest performance and security upgrades made to our infrastructure,” said Sean Prescott, Founder and Non-Executive Chairman of Scope AI. “The next generation of our platform will set us apart in what kind of data and its sensitivity we can process and store. It’s a potential game-changer for the industry.”
Primarily focused on automating warehouses, Symbotic Inc. (NASDAQ: SYM) is rapidly advancing its technology for use in other industries. Potential applications include automated building and road construction. Symbotic is doing this by enhancing AI, computer vision, and IoT functionality through autonomous robots working collaboratively. This technology is expected to naturally progress into virtual or mixed reality, allowing users to control the system and individual robots as if they were the brain.
“This past quarter we executed well for our customers, made significant progress on our innovation roadmap and delivered solid financial results,” said Rick Cohen, Chairman and CEO of Symbotic in its FY 2024 results. “We made significant advances in both software and hardware this quarter that will benefit customers, accelerate deployment times and increase our deployment capacity.”
Symbotic operates in two segments: products and deployment, and services. In Q2, Symbotic achieved several key developments that improved deployment times, including a software upgrade for better throughput and capacity, an upgrade to enhance modularization, and a new AI chip for increased power.
“These advancements helped us to accelerate deployment progress during the quarter,” said Symbotic CFO Carol Hibbard. “We started three system deployments and completed three operational systems, while achieving faster revenue growth, higher margins and stronger cash generation than planned for the quarter.”
Evolv AI, a leader in digital experience optimization, and a wholly-owned subsidiary of Evolv Technologies Holdings, Inc. (NASDAQ: EVLV), recently announced a new free-of-charge AI-led UX site assessment feature to boost online conversions in eCommerce. Delivered as an emailed report that gives insight into where site owners’ digital experiences are underperforming, the new feature provides prioritized, contextual UX recommendations to help businesses advance.
“Our free UX site assessment feature is a game-changer for businesses looking to optimize their digital experiences but have limited resources for UX experimentation,” said Tyler Foster, President and CTO at Evolv AI. “Our recommendation engine distills generalized learnings from millions of experiments and extensive UX research to deliver custom, contextual recommendations to our end users. Our AI also predicts which UX improvements will yield the highest returns, so you can focus resources strategically.”
Back in March, MicroStrategy Incorporated (NASDAQ: MSTR) unveiled a new customizable AI bot called Auto that lets business users interact with MicroStrategy’s data analytics offerings through natural language. The new Auto software was based upon the MicroStrategy AI product suite that was launched last year, using generative AI technology to lower the technical skills required by users to consume data using MicroStrategy data analytics.
“Our modern cloud architecture, proven semantic graph, and robust APIs gave us the agility to lead the market with a solution that combines the latest generative AI with trusted BI,” said Saurabh Abhyankar, Chief Product Officer at MicroStrategy. “And now, with Auto added to MicroStrategy AI, we’re enabling customers to build and deploy custom AI bots in minutes. But this is just the beginning. We have dozens of new features underway for MicroStrategy AI that will help every organization capitalize on our vision for Intelligence Everywhere.”
MicroStrategy would follow up the launch of Auto, by unveiling enhancements to the platform at the end of April.
Working to further help enterprises interpret and utilize their data, leading enterprise automation and AI software company UiPath Inc. (NYSE: PATH) was recently recognized as a Leader in the Everest Group Process Mining Products PEAK Matrix Assessment 2024, marking the fifth consecutive year of UiPath receiving the honor.
“[UiPath’s] strong year-over-year growth in its process mining business, enhanced interoperability with its automation suite, and investments in product innovation and generative AI capabilities such as Autopilot have helped UiPath strengthen its position as a Leader and emerge as a Star Performer on Everest Group’s Process Mining Products PEAK Matrix® 2024,” said Amardeep Modi, Vice President at Everest Group. “Its product vision and roadmap, product’s ease of use, ability to visualize process maps and detect bottlenecks, and customer support are some of the key strengths highlighted by its clients.”
Serving to further enhance its portfolio, UiPath has also been linked to a $35.2 million investment in Paris-based AI startup Holistic, with plans to develop a “commercial relationship” with the company, according to a document filed at the start of May with the US Securities and Exchange Commission (SEC). The investment was part of a $200 million funding round for Holistic AI, as reported by Reuters.
Article Source: https://usanewsgroup.com/2024/04/26/the-currency-of-tomorrow-why-investing-in-cutting-edge-ai-recognition-tech-could-mean-big-money/ 
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