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Revenue Cycle Management Market is Expected to Reach $84.1 Billion | MarketsandMarkets.

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Chicago, July 27, 2023 (GLOBE NEWSWIRE) — In the near future, the revenue cycle management (RCM) industry is poised for significant transformation and growth, driven by technological innovations and evolving healthcare practices. Advanced technologies, such as blockchain, artificial intelligence, and automation, will revolutionize the RCM process, streamlining billing, coding, and reimbursement procedures. These solutions will lead to increased efficiency, reduced administrative burdens, and minimized errors, ultimately improving revenue collection and financial outcomes for healthcare providers. Moreover, the industry will witness greater integration of telehealth services, enabling seamless billing and coding for virtual consultations, reflecting the ongoing trend towards digital healthcare. As RCM companies leverage data analytics and predictive modeling, they will offer more proactive and data-driven solutions to optimize revenue streams and identify potential bottlenecks in the revenue cycle. Overall, the revenue cycle management industry is set to flourish in the near future, ushering in a new era of enhanced financial performance and operational efficiency for healthcare providers.

Revenue Cycle Management market in terms of revenue was estimated to be worth $49.6 Billion in 2023 and is poised to reach $84.1 Billion by 2028, growing at a CAGR of 11.1% from 2023 to 2028 according to a latest report published by MarketsandMarkets™. The introduction of transformative technologies such as AI in the RCM market has revolutionized the process of reimbursement. Payers & providers have now started adopting AI-based solutions to minimize the pressure on human resources. Furthermore, predictive analytics has enhanced the financial performance of healthcare systems by providing accurate futuristic trends. Moreover, RCM market growth is mainly attributable to the need for managing increasing volumes of unstructured healthcare data as well as the need for more patients. The majority of data in the healthcare industry is unstructured, increasing dependence on AI-based solutions such as NLP to simplify reimbursement.

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Revenue Cycle Management Market Scope:

Report Coverage Details
Market Revenue in 2023 $49.6 Billion
Estimated Value by 2028 $84.1 Billion
Growth Rate Poised to grow at a CAGR of 11.1%
Market Size Available for 2021–2028
Forecast Period 2023–2028
Forecast Units Value (USD Billion)
Report Coverage Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
Segments Covered Product & services, delivery mode, end user and region
Geographies Covered North America, Europe, Asia Pacific, Latin America, and Middle East & Africa
Report Highlights Updated financial information / product portfolio of players
Key Market Opportunities Growing demand for AI & cloud-based deployment
Key Market Drivers Growing need to manage unstructured healthcare data

Revenue Cycle Management market major players covered in the report, such as:

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  • R1 RCM (US)
  • Oracle (US)
  • Optum (US)
  • McKesson Corporation (US)
  • Change Healthcare (US)
  • 3M (US)
  • Experian plc (Ireland)
  • Conifer Health Solutions (US)
  • Veradigm (US)
  • GE Healthcare (US)
  • Cognizant (US)
  • athenahealth (US)
  • SSI Group LLC (US)
  • AdvantEdge Healthcare (US)
  • Huron Consulting Group (US)
  • and Among Others

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The research report categorizes the revenue cycle management market into the following segments and subsegments:

Product & Services

  • Solutions
  • Patient Access Solutions
  • Eligibility Verification Solutions
  • Pre-certification & Authorization Solutions
  • Other Patient Access Solutions
  • Mid-Revenue cycle Solutions
  • Clinical Coding Solutions
  • Clinical Documentation Improvement Solutions
  • Other Mid-revenue cycle Solutions
  • Back-end Revenue cycle Solutions
  • Claims Processing Solutions
  • Denial Management Solutions
  • Other Back-end Revenue cycle Solutions
  • Outsourcing Services
  • Patient Access Outsourcing Services
  • Mid-revenue cycle Outsourcing Services
  • Back-end Revenue cycle Outsourcing Services

Delivery Mode

  • On-premise Solutions
  • Cloud-based Solutions

End User

  • Healthcare Providers
  • Inpatient Facilities
  • Hospitals
  • Others
  • Outpatient Facilities
  • Physicians Practices
  • Ambulatory Surgical Centers (ASCs)
  • Hospital Outpatient Facilities
  • Diagnostic & Imaging Centers
  • Other Outpatient Facilities
  • Healthcare Payers

Region

  • North America
  • Europe
    • Germany
    • UK
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • Rest of Asia Pacific
  • Latin America
  • Middle East and Africa

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The key stakeholders in the Revenue Cycle Management market include:

  • Healthcare Providers
  • Healthcare Vendors
  • Technology Developers
  • Patients
  • Regulators and Policy makers
  • Insurance companies and payers
  • Government Institutions
  • Market Research and Consulting Firms
  • Venture Capitalists and Investors

Frequently Asked Questions (FAQs) of Revenue Cycle Management Market:

Q1. What is the total market value of Revenue Cycle Management Market report?

Q2. Which are the top companies holding the market share in Revenue Cycle Management Market?

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Q3. Which are the largest regions for this Market?

Q4. What is the leading technology of Revenue Cycle Management Market?

Q5. What are the major drivers for this specific Market?

Q6. What are the upcoming key trends in the Revenue Cycle Management Market report?

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Recent Developments:

  • In 2023, Optum partnered with Owensboro Health to manage revenue cycle and information technology and improve patient outcomes and safety.
  • In 2022, the R1 RCM announced 10-year end-to-end RCM partnerships with Scion Health, Sutter Health, and St. Clair Health to streamline workflow standardization and improve patient access platforms.
  • In 2022, McKesson signed a definitive agreement to acquire Rx Savings Solutions to offer medication therapy more affordable and increase medication adherence to improve outcomes.

Report Objectives:

  • To define, describe, and forecast the global revenue cycle management market by product & services, delivery mode, end-user, and region
  • To provide detailed information about the significant factors influencing the market growth (such as drivers, restraints, opportunities, and challenges)
  • To analyze micromarkets with respect to individual growth trends, prospects, and contributions to the overall revenue cycle management market
  • To analyze market opportunities for stakeholders and provide details of the competitive landscape for key players
  • To forecast the size of the revenue cycle management market in five major regions along with their respective key countries (North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa)
  • To profile the key players in the global revenue cycle management market and comprehensively analyze their core competencies and market shares
  • To track and analyze competitive developments such as mergers, acquisitions, developments, expansions, partnerships, alliances, and R&D activities of leading players in the market

Related Reports:

Population Health Management Market

Clinical Decision Support Systems Market

Healthcare BPO Market

Back-End Revenue Cycle Management Market

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Clinical Documentation Improvement Market

Research Insight: https://www.marketsandmarkets.com/ResearchInsight/revenue-cycle-management-market.asp

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Key Tech Stocks Optimizing AI Usability and Infrastructure for a $20-Trillion Future

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USA News Group CommentaryIssued on behalf of Avant Technologies Inc.
VANCOUVER, BC, June 21, 2024 /PRNewswire/ — USA News Group – Several big winners have been made already in the ongoing artificial intelligence (AI) revolution. However, there’s clearly none bigger than chipmaking giant NVIDIA Corporation (NASDAQ: NVDA), which just surpassed two of its big tech peers to become the most valued publicly-traded company on the planet. To put it into perspective, NVIDIA’s market cap is currently larger than each of Europe’s largest stock markets, while lucky investors who bet $1000 on NVIDIA stock just ten years ago would be sitting on an extra $297,600 today. Now as analysts are predicting that AI and cryptocurrency could inject $20 trillion into the global economy by 2030, the best minds in the tech sector are moving their pieces into place to secure their piece of the pie. Behind the scenes, tech stocks are optimizing the infrastructure, security, and usability of AI, including new developments from Avant Technologies Inc. (OTCQB: AVAI), International Business Machines Corporation (IBC) (NYSE: IBM), Cloudflare, Inc. (NYSE: NET), and Accenture plc (NYSE: ACN).

Known as a pioneer in the sector for its innovative AI technology, Avant Technologies Inc. (OTCQB: AVAI) has improved its main product, Avant AI™. This sophisticated AI system, celebrated for its advanced machine and deep learning capabilities, is adaptable across a wide range of industries.
In a recent strategic development, Avant has signed a Binding Letter of Intent (BLOI) with Flow Wave, LLC (FW), a Florida-based leader in immersible computer server technology. This agreement allows Avant to acquire up to 50 cutting-edge immersible computer servers from FW in a deal valued at $50 million.
“Avant’s revolutionary AI software platform is poised to transform the landscape of data center management,” said William Hisey, CEO of Avant.  “By integrating proprietary machine learning algorithms with open-source innovations into these servers, Avant is developing a highly intelligent system designed to optimize resource allocation, enhance performance, and drive unprecedented levels of efficiency and automation. This marks the beginning of a new era for Avant Technologies, positioning us at the forefront of the supercomputer-driven data center industry and setting new standards for managing and storing AI applications.”
Flow Wave Immersible AI Supercomputer Servers are great for heavy AI and machine learning tasks because they have strong processing power, meaning they can analyze data faster and more efficiently. Their special cooling technology uses less energy, saving money and reducing environmental impact. The servers are also compact and easy to set up, making them ideal for data centers with limited space. Plus, their design helps them last longer and require less maintenance.
Avant plans to tackle the challenges of the digital age by buying up to 50 of these high-performance servers from Flow Wave. These servers, with their advanced cooling technology, boost performance and save energy. This deal shows Avant’s dedication to providing top-notch AI infrastructure and improving efficiency. More details about the transaction will be shared once a definitive agreement is finalized.
One of the most active tech giants in the AI space is International Business Machines Corporation (IBC) (NYSE: IBM), which recently released a new methodology through its IBM Research® wing called LAB (Large-Scale Alignment for ChatBots), through an open-source project called InstructLab with its subsidiary Red Hat®, which IBM acquired for $34 billion in 2019. The InstructLab project builds on the LAB technique for a community-driven approach to language model development through skills and knowledge training.
As well, IBM has teamed up with WPP and LinkedIn to launch a new business-to-business (B2B) solution powered by IBM’s AI and data platform watsonx, designed to reinvent how B2B markets identify and engage clients and prospects across the buying journey. WPP Open for B2B will help marketers solve complex B2B marketing challenges, accurately identify and engage buying groups, and improve clients’ return on investment.
“B2B marketers have been focused on creating truly personalized, relevant and consistent experiences for buying groups at scale for years,” said Jonathan Adashek, Senior Vice President of Marketing and Communications at IBM. “Our collaboration with WPP and LinkedIn provides real-time, actionable insights that are based on trusted data. We are excited to create and use these new, powerful and trusted AI solutions to deliver a force multiplier for B2B marketing.”
Cloud-based security solution provider Cloudflare, Inc. (NYSE: NET) recently announced the general availability of its AI Gateway platform, dubbed as a unified interface for managing and scaling the generative AI workloads of clients. Since its beta launch in September 2023, AI Gateway has handled over 500 million requests and is now ready for full client use.
The general availability release followed upon another Cloudflare announcement of a collaboration with Hugging Face, the leading open and collaborative platform for AI builders, for a one-click-simple global deployment for AI applications. With its Workers AI platform now generally available, Cloudflare became the first serverless inference partner integrated on the Hugging Face Hub for deploying models, enabling developers to quickly, easily, and affordably deploy AI globally, without managing infrastructure or paying for unused compute capacity.
“Workers AI is one of the most affordable and accessible solutions to run inference,” said Matthew Prince, CEO and co-founder, Cloudflare. “With Hugging Face and Cloudflare both deeply aligned in our efforts to democratize AI in a simple, affordable way, we’re giving developers the freedom and agility to choose a model and scale their AI apps from zero to global in an instant.”
Reporting impressive generative AI revenues in its latest Q3 2024 fiscal results has caused shares of Accenture plc (NYSE: ACN) to jump this week, reporting more than $900 million in generative AI bookings in the latest quarter alone.
“Our actions to stay laser-focused on the needs of our clients are clear in our third quarter results,” said Julie Sweet, Chair and CEO of Accenture. “We… achieved two significant milestones this quarter — with $2 billion in Generative AI sales year-to-date and $500 million in revenue year-to-date — which demonstrate our early lead in this critical technology.”
Prior to the financial report, Accenture announced its intent to acquire Italian-based network services company, Fibermind, which specializes in fiber and mobile 5G networks deployment, as well as infrastructure engineering services. Together, Accenture and Fibermind will offer clients network engineering capabilities, deep industry knowledge, and technology assets powered by automation, robotics, data and AI.
Prior to its surge into the position as the world’s most valuable publicly-traded company, NVIDIA Corporation (NASDAQ: NVDA) made a pair of announcements, further cementing its role in the AI revolution.
The first was the announcement of its NVIDIA Omniverse Cloud Sensor RTX, a set of microservices that enable physically accurate sensor simulation to accelerate the development of fully autonomous machines of every kind, allowing developers to test sensor perception and associated AI software at scale in physically accurate, realistic virtual environments prior to real-world deployment.
The second announcement was the NVIDIA AI Computing by HPE, a portfolio of AI solutions and joint go-to-market integrations that enable enterprises to accelerate adoption of generative AI, co-developed with Hewlett Packard (HP).
“Generative AI and accelerated computing are fueling a fundamental transformation as every industry races to join the industrial revolution,” said Jensen Huang, Founder and CEO of NVIDIA. “Never before have NVIDIA and HPE integrated our technologies so deeply – combining the entire NVIDIA AI computing stack along with HPE’s private cloud technology – to equip enterprise clients and AI professionals with the most advanced computing infrastructure and services to expand the frontier of AI.”
All NVIDIA AI Computing offerings by HPE will be available through a combined marketing strategy involving sales teams, channel partners, and training. This strategy includes a global network of system integrators such as Deloitte, HCLTech, Infosys, TCS, and Wipro. These integrators will assist enterprises across various industries in running complex AI workloads.
Source: https://usanewsgroup.com/2023/10/26/unlocking-the-trillion-dollar-ai-market-what-investors-need-to-know/ 
CONTACT:
USA NEWS [email protected](604) 265-2873
DISCLAIMER: Nothing in this publication should be considered as personalized financial advice. We are not licensed under securities laws to address your particular financial situation. No communication by our employees to you should be deemed as personalized financial advice. Please consult a licensed financial advisor before making any investment decision. This is a paid advertisement and is neither an offer nor recommendation to buy or sell any security. We hold no investment licenses and are thus neither licensed nor qualified to provide investment advice. The content in this report or email is not provided to any individual with a view toward their individual circumstances. USA News Group is a wholly-owned subsidiary of Market IQ Media Group, Inc. (“MIQ”). MIQ has been paid a fee for Avant Technologies Inc. advertising and digital media from the company directly. There may be 3rd parties who may have shares Avant Technologies Inc., and may liquidate their shares which could have a negative effect on the price of the stock. This compensation constitutes a conflict of interest as to our ability to remain objective in our communication regarding the profiled company. Because of this conflict, individuals are strongly encouraged to not use this publication as the basis for any investment decision. The owner/operator of MIQ own shares of Avant Technologies Inc. which were purchased as a part of a private placement. MIQ reserves the right to buy and sell, and will buy and sell shares of Avant Technologies Inc. at any time thereafter without any further notice. We also expect further compensation as an ongoing digital media effort to increase visibility for the company, no further notice will be given, but let this disclaimer serve as notice that all material disseminated by MIQ has been approved by the above mentioned company; this is a paid advertisement, and we own shares of the mentioned company that we will sell, and we also reserve the right to buy shares of the company in the open market, or through further private placements and/or investment vehicles. While all information is believed to be reliable, it is not guaranteed by us to be accurate. Individuals should assume that all information contained in our newsletter is not trustworthy unless verified by their own independent research. Also, because events and circumstances frequently do not occur as expected, there will likely be differences between any predictions and actual results. Always consult a licensed investment professional before making any investment decision. Be extremely careful, investing in securities carries a high degree of risk; you may likely lose some or all of the investment.

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2024 World Intelligence Expo Begins with a Grand Opening in Tianjin

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TIANJIN, China, June 21, 2024 /PRNewswire/ — On June 20th, Tianjin hosted the opening of the 2024 World Intelligence Expo (WIE). Under the theme “Intelligence: Expansive Development Space, Sustainable Growth Driver,” the event was co-organized by the people’s governments of the Tianjin and Chongqing municipalities.

Chinese President Xi Jinping sent a congratulatory letter to the expo, pointing out that AI, as an important driving force for a new round sci-tech revolution and industrial transformation, will have a far-reaching impact on global economic and social development and human civilization progress. In his letter, Xi also noted that China has attached great importance to the development of AI, actively driven the deep integration of the Internet, big data and AI with real economy to cultivate and build the intelligent industry, accelerate the development of new quality productivity, and provide new momentum for high-quality development.
Chen Min’er, secretary of the CPC Tianjin Committee, addressed the opening ceremony of the expo. Wan Gang, chairman of China Association for Science and Technology, delivered the keynote speech. Hu Henghua, mayor of Chongqing; Wu Zhaohui, vice president of Chinese Academy of Sciences; Liu Liehong, head of the National Data Administration; Long Teng, vice minister of the Ministry of Science and Technology; and Shan Zhongde, vice minister of the Ministry of Industry and Information Technology, addressed the expo, respectively. Tianjin Mayor Zhang Gong presided over the opening ceremony.
In his speech, Chen Min’er pointed out that Tianjin has been adhering to sci-tech innovation and industrial innovation at the same time, actively propelling exploration and practical applications in the realm of AI, and accelerating the development of new quality productivity to better empower its high-quality development and living. Chen added, “Leading sci-tech innovation with intelligence, Tianjin will rev up the R&D and application of some key core technologies, vigorously develop the sci-tech service sector, streamline the supply and demand channels for sci-tech achievements, boost sci-tech and innovation parks to improve their quality and efficiency, and accelerate the inter-sector application of AI to help innovation and breakthroughs in the fields of life science, low-carbon technology, and future research.
According to Hu Henghua, Chongqing is speeding up in digital industrialization and industrial digitization to build itself into a new digital economy highland. The 2025 World Intelligence Expo is scheduled to be held in Chongqing. Hu invited everyone to delineate a new AI landscape together, share golden opportunities during the digitization of Chongqing, and co-build a promising future in the AI era.
Wu Zhaohui suggested strengthening the inter-discipline cooperation to consolidate the AI research foundation, enriching AI scenarios with applets, and deepening industry-institute interactions to build an AI innovation ecosystem.
Zeng Yi, chairman of China Electronics Corporation; Chen Zhongyue, chairman of China Unicom; Yang Yuanqing, chairman and CEO of Lenovo; and Zhou Hongyi, founder of Qihoo 360 delivered speeches.
Contact: Xing MeiqiTel: 0086-22-28209030E-mail: [email protected]
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Tech Developers Pioneering AI Tools to Revolutionize Future Productivity and Logistics

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USA News Group CommentaryIssued on behalf of Scope AI Corp.
VANCOUVER, BC, June 21, 2024 /PRNewswire/ — USA News Group – How we embrace this surging adoption of artificial intelligence (AI) in the economy of the future remains up for debate. Already, we’re seeing the impact of AI adoption in the workplace, in culture, and in finance, but it won’t end there. According to Goldman Sachs, AI is showing “very positive” signs of eventually boosting GDP and productivity, while some experts are remarking that the generative AI tech wave is sweeping in much faster (maybe 10x) than early internet. Behind the scenes, tech developers are building AI-powered tools that could potentially revolutionize productivity and logistics in the future, with recent developments coming from Scope AI Corp. (CSE: SCPE) (OTCQB: SCPCF), Meta Platforms, Inc. (NASDAQ: META), Amazon.com, Inc. (NASDAQ: AMZN), Microsoft Corporation (NASDAQ: MSFT), and SoundHound AI, Inc. (NASDAQ: SOUN, SOUNW).

As deep machine learning evolves rapidly, Scope AI Corp. (CSE: SCPE) (OTCQB: SCPCF) has rebranded and shifted its market focus to target sectors such as advertising, gaming, and neural networks with its advanced GEM (General Enterprise Machine Learning) technology.
Scope AI’s ongoing development of GEM aims to assist businesses in creating custom object detection and visual information systems, maximizing the potential of neural networks. The company’s strategic initiatives are set to potentially revolutionize advertising personalization, gaming enhancements, and various applications of neural networks.
Recently, Scope AI unveiled significant enhancements to GEM, designed to better serve advertising agencies and the gaming industry. These updates aim to optimize advertising content and improve gameplay experiences through advanced neural network functionalities. By the end of May, Scope AI had announced its collaboration with several leading ad agencies and ad networks, to gain insights into the primary challenges these organizations face in analyzing the efficacy of different ad creatives and page layouts, as well as the difficulties and costs associated with testing.
The timing of Scope AI’s assistance in advertising couldn’t be better, as global advertising executives are currently struggling with the injection of AI into their sphere. The worry is that if everyone is using AI for their images, nothing stands out. This is where Scope AI’s potential with GEM rises, in helping these ad execs to better discern their ad campaigns, and how to deliver them.
“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.”
GEM’s enhanced object visual recognition capabilities are intended to provide businesses with deeper insights and more precise solutions. Consequently, advertisers may potentially analyze consumer behavior more effectively and refine their campaigns, while game developers could 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.”
Social media platform giant Meta Platforms, Inc. (NASDAQ: META) recently announced an initiative to release new AI research models in order to accelerate innovation at scale. As per the initiative, Meta’s Fundamental AI Research team is publicly releasing several models to accelerate future research and allow others to innovate and apply AI at scale.
According to the accompanying Meta blog post, the company states, “We believe that access to state-of-the-art AI creates opportunities for everyone.”
Meanwhile, however, Meta has also been asked to delay training its AI on data from users in the European Union. After intervention by the Irish Data Protection Commission, Meta now must delay its plan to train its large language models on Facebook and Instagram content from EU users.
“We’re disappointed by the request from the Irish Data Protection Commission (DPC), our lead regulator, on behalf of the European DPAs, to delay training our large language models (LLMs) using public content shared by adults on Facebook and Instagram — particularly since we incorporated regulatory feedback and the European DPAs have been informed since March,”  wrote Stefano Fratta, Global Engagement Director for Privacy Policy for Meta in a blog post. “This is a step backwards for European innovation, competition in AI development and further delays bringing the benefits of AI to people in Europe.”
Meanwhile, Amazon.com, Inc. (NASDAQ: AMZN) seems undeterred in Europe, expanding its generative AI listing tools to sellers across the continent. As per the expansion, sellers in France, German, Italy, Spain, and the UK can now leverage the power of generative AI to greatly simplify the process of product listing creation as well as enriching existing product listings to better resonate with customers and help drive sales.
“These generative AI-powered tools simplify the listing creation process, allowing sellers to generate compelling product titles, descriptions, and other details by simply providing a few descriptive words or just uploading a product image,” said Amazon in the accompanying blog post. “We suggest product listings that are high-quality and designed to be engaging for customers in our store. This streamlines operations and allows sellers to focus on other aspects of their business.”
Amazon has long utilized AI to assist its selling partners by pioneering personalized product recommendations based on customer behavior, enabling sellers to highlight relevant products. Advanced machine learning models are used for demand forecasting and inventory management, helping sellers avoid stock shortages. AI-powered pricing tools provide dynamic pricing insights, while recent innovations include generating rich Premium A+ Content and augmented reality visualizations. In fulfillment centers worldwide, AI helps stock products locally to ensure faster deliveries and greater availability of everyday essentials. In Europe, AI reduced the average package travel distance by 25kms in 2023, enhancing delivery speed and sustainability.
Microsoft Corporation (NASDAQ: MSFT) recently decided to delay the release of its Recall AI feature on PCs, based on security concerns. The Recall feature logs activities from web browsing to voice chats, creating a searchable history on the user’s computer. This allows users to easily find and recall actions from months ago.
Experts are already labeling Microsoft as a “frontrunner in the generative AI race”, with analysts expecting big things from the software giant, citing a “strong competitive cloude edge” coming, as they estimate Microsoft’s Copilot deployments could add around $25 billion to the company’s trajectory by fiscal year 2025.
Together with LinkedIn, Microsoft also released the 2024 Work Trend Index on the State of AI at Work, titled “AI at work is here. Now comes the hard part.”
“Generative AI tools have found widespread acceptance in the workplace, and we can see that most employees have placed their trust in AI to help with their daily workloads – without waiting to see if their organization will provide AI tools, services, or directions and guidelines for usage,” said Dhanawat Suthumpun, Managing Director of Microsoft Thailand. “It is critical that business leaders respond to this emerging trend in order to help both the organization and employees make the most beneficial impact from AI – from increased productivity and new capabilities to greater security from well-defined guidance around AI use.”
Global leader in voice artificial intelligence SoundHound AI, Inc. (NASDAQ: SOUN, SOUNW) recently announced the acquisition of key assets from Allset, an online ordering platform that connects restaurants and local customers, to fast-track its vision of a voice commerce ecosystem. Allset is a food ordering platform designed for local pick-up, providing a seamless, cost-effective dining experience that allows both consumers and restaurants to bypass the high fees charged by delivery apps. SoundHound is already a market leader for restaurant voice AI solutions, working with over 10,000 restaurant locations.
“We are thrilled to join forces with SoundHound to combine our established partnerships and marketplace expertise with SoundHound’s class-leading voice AI solutions and capabilities,” said Stas Matviyenko, CEO and Co-Founder of Allset. “From the beginning, we realized that we share the same vision for the voice commerce ecosystem that elevates the consumer experience. This team-up will accelerate our progress toward the next exciting phase of AI-powered ordering convenience.”
Article Source: https://usanewsgroup.com/2024/04/26/the-currency-of-tomorrow-why-investing-in-cutting-edge-ai-recognition-tech-could-mean-big-money/ 
CONTACT:USA NEWS [email protected](604) 265-2873
DISCLAIMER: Nothing in this publication should be considered as personalized financial advice. We are not licensed under securities laws to address your particular financial situation. No communication by our employees to you should be deemed as personalized financial advice. Please consult a licensed financial advisor before making any investment decision. This is a paid advertisement and is neither an offer nor recommendation to buy or sell any security. We hold no investment licenses and are thus neither licensed nor qualified to provide investment advice. The content in this report or email is not provided to any individual with a view toward their individual circumstances. USA News Group is a wholly-owned subsidiary of Market IQ Media Group, Inc. (“MIQ”). MIQ has been paid a fee for Scope AI Corp. advertising and digital media from the company directly. There may be 3rd parties who may have shares Scope AI Corp., and may liquidate their shares which could have a negative effect on the price of the stock. This compensation constitutes a conflict of interest as to our ability to remain objective in our communication regarding the profiled company. Because of this conflict, individuals are strongly encouraged to not use this publication as the basis for any investment decision. The owner/operator of MIQ own shares of Scope AI Corp. which were purchased as a part of a private placement. MIQ reserves the right to buy and sell, and will buy and sell shares of Scope AI Corp. at any time thereafter without any further notice. We also expect further compensation as an ongoing digital media effort to increase visibility for the company, no further notice will be given, but let this disclaimer serve as notice that all material disseminated by MIQ has been approved by the above mentioned company; this is a paid advertisement, and we own shares of the mentioned company that we will sell, and we also reserve the right to buy shares of the company in the open market, or through further private placements and/or investment vehicles. While all information is believed to be reliable, it is not guaranteed by us to be accurate. Individuals should assume that all information contained in our newsletter is not trustworthy unless verified by their own independent research. Also, because events and circumstances frequently do not occur as expected, there will likely be differences between any predictions and actual results. Always consult a licensed investment professional before making any investment decision. Be extremely careful, investing in securities carries a high degree of risk; you may likely lose some or all of the investment.

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