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Generative AI in Customer Service Market Value to Hit USD 2,103.0 million by 2032 || CAGR of 24.2%

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New York, June 08, 2023 (GLOBE NEWSWIRE) — According to MarketResearch.biz, the Generative AI in customer Service market size is projected to surpass around USD 2,103.0 million by 2032, and it is poised to reach a registered CAGR of 24.2% from 2023 to 2032.

Generative AI in customer service is the technology that uses machine learning algorithms for generating responses & engage in conversations with customers. This technology can help businesses to automate routine tasks like answering frequently asked questions or processing simple requests, freeing up human agents to handle more complex customer issues.

Generative AI can also be trained to understand customer preferences and made responses accordingly, leading to more personalized and satisfying interactions. Additionally, generative AI can learn and adapt over time which allows it to continuously improve its performance & accuracy. With generative AI, businesses can provide 24/7 support to customers, improve efficiency & reduce costs, and ultimately, enhance the overall customer experience.

Generative AI In Customer Services Market

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Key Takeaway:

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  • Based on application, in 2022, the generative AI in customer service market was dominated by the chatbot segment owing to their ability to provide quick & efficient customer service at low cost.
  • By industry, in 2022, the healthcare industry segment dominated the largest market share in an industry segment.
  • By deployment, in 2022, the cloud-based segment dominated the largest market share in the deployment segment.
  • In 2022, North America dominated the market with the highest revenue share of 46.5%.
  • Asia-Pacific is expected to have the highest CAGR among all regions, owing to heavy investments in AI research & development.

Factors affecting the growth of Generative AI in Customer Service industry

There are several factors that can have an impact on the growth of the generative AI in customer service industry includes:

  • Growth of the e-commerce industry: The growth of the e-commerce industry and the rise of online transactions have led to a surge in customer inquiries which is making it difficult for businesses to manage customer service with human agents alone. This has led to the need for automation with generative AI being a usable solution.
  • Increasing advancements in natural language processing: the increasing advancements in natural language processing (NLP) technology have improved the accuracy & effectiveness of generative AI in customer service. With better NLP technology, AI can better understand customer queries and provide more relevant & accurate responses.
  • A large amount of customer data: the availability of large amounts of customer data has enabled businesses to train AI models to better understand customer needs & preferences. This has led to more effective and personalized interactions between customers and AI-powered customer service systems.
  • Low implementing cost: the decreasing costs of implementing & maintaining AI systems have made it more affordable for businesses of all sizes to adopt generative AI in their customer service operations.

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Top Trends in Generative AI in Customer Service Market

The latest trends for generative AI in the consumer services market include fraud detection, image & video generation, conversational AI, personalization, virtual assistants, and gaming. Companies use generative AI to personalize customer experiences by creating personalized content & recommendations. Conversational AI systems automate routine tasks like answering frequently asked questions. Virtual assistants help customers with their shopping experiences. The use of AI to generate high-quality images & videos for marketing and advertising purposes is another trend. Fraud detection is a trend where AI is used to detect fraudulent activities & prevent them before they occur. In the gaming industry, generative AI is used to create more realistic environments & characters and also to generate game content.

Market Growth

The demand for generative AI in customer service is being driven by several factors which include the increasing need for personalized & efficient customer service experiences, the growth of e-commerce & online transactions, and the availability of large amounts of customer data that can be leveraged to train AI models. Furthermore, the COVID-19 pandemic has accelerated the adoption of generative AI in customer service as many businesses have shifted to remote work environments and found ways to continue providing support to customers. This has led to a greater need for automation and AI-powered customer service solutions. The generative AI in the customer service market is expected to see growth across various industries which includes retail, healthcare, finance, and telecommunications.

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Regional Analysis

North America is accounted as the most dominant market in the global generative AI in customer service market with a market share of 46.5%, during the forecasted period. North America is the leader in AI research & development for many years. It continues to lead the market when it comes to generative AI. There are established AI companies & research institutions in these regions that are developing cutting-edge generative AI technologies. These industries include healthcare, finance, entertainment, and entertainment.

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Scope of the Report

Report Attribute Details
Market Value (2022) USD 254.2 Mn
Market Size (2032) USD 2,103.0 Mn
CAGR (from 2023 to 2032) 24.2%
North America Revenue Share 46.5%
Historic Period 2016 to 2022
Base Year 2022
Forecast Year 2023 to 2032

Market Drivers

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There are many drivers behind the adoption of generative AI in the consumer services market. One main driver is the growing demand for personalized customer experience. Today’s consumers expect companies to offer them customized content & recommendations. Generative AI can help companies meet these demands by creating personalized experiences for each customer. Another driver is the demand for automation & efficiency in customer service. Generative AI automates routine tasks like answering frequently asked questions, allowing customer service representatives to focus more on complex issues. This can result in improved efficiency & cost savings for businesses. The increasing volume of data from customers is also driving the adoption and use of generative AI. Companies are using generative AI for analyzing the data and gain insights into customer behaviour. The increasing competition in the consumer services sector is also driving companies to invest in generative AI. By utilizing this technology, companies can improve their customer service abilities & differentiate themselves from competitors.

Market Restraints

There are few restraints to the adoption of generative AI in the consumer services market. The lack of privacy regulations can cause companies to be concerned about how they are using customer data for training their generative AI models. Many consumers may be hesitating to share their data with companies that use generative AI. This can limit the effectiveness of the technology in improving customer experience. The cost & complexity of implementing generative AI technology can also make it difficult for small companies to adopt it. There may also be resistance from employees, who fear that generative AI technology will replace their job. This could lead to conflicts with management. There may also be cultural or social barriers to the adoption of generative AI. Some customers may prefer human interaction to automated systems. Other than these restraints, many companies continue to invest in generative AI to improve their customer service and gain a competitive advantage in the market.

Market Opportunities

There are many opportunities for generative AI in the consumer services market. One big opportunity is the ability to customize the customer experience. This can lead to increased satisfaction & loyalty. By using generative AI, companies can create personalized content & recommendations for individual clients by improving engagement and overall satisfaction. Additionally, generative AI also can be used for automating routine tasks like answering frequently asked questions. This allows customer service representatives to focus their attention on more complex tasks. This can result in increased efficiency & cost savings for businesses. Fraud detection is another area where generative AI could be used. It can analyze patterns of data to identify fraudulent activities & prevent them before they occur. Finally, generative artificial intelligence can be used to create realistic images and videos to help companies better showcase their products & services.

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Report Segmentation of the Generative AI in Customer Service Market

Application Insight

The chatbot segment will be the most lucrative within the global generative AI market for customer services with a revenue share of 42.7% and a projected CAGR of 24.6% over the forecast period. Owing to this they can provide fast & efficient service at low cost. They are very effective at automating routine tasks like answering frequently asked questions. This allows customer service representatives to concentrate on more complex tasks. Chabot’s can operate 24/7, providing customers with round-the-clock support & reducing the response time which leads to improved customer satisfaction.

Industry Insight

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The healthcare industry segment dominates the type segment of the generative AI market in customer services with a revenue share of 43.8% and a CAGR of 24.2%. Growing demand for better patient care and outcomes. Medical imaging analysis is one of the main areas where generative AI in healthcare is being used. Using generative AI to help physicians diagnose and identify medical conditions more accurately and efficiently is a way to use the growing volume of medical imaging data.

Deployment Insight

The cloud-based segment dominates the deployment segment of generative AI for customer services with a market value of 45.7% and a CAGR of 24.4%. Cloud-based solutions are scalable, allowing companies to easily adjust resources to match changes in demand. Additional hardware or infrastructure is not required. These solutions are also more flexible & accessible as customers & employees can access them from anywhere they have an internet connection. Cloud-based solutions are usually more cost-effective than on premise solutions as they don’t require large initial investments or ongoing costs.

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Market Segmentation

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Based on Application

  • Chatbot
  • Virtual Assistants
  • Personalized Recommendation’s
  • Sentiment Analysis

Based on Industry

  • Healthcare
  • Retail
  • Finance
  • Telecommunications

Based on Deployment

  • Cloud-based
  • On-premise
  • Hybrid

Key Regions

  • North America
    • The US
    • Canada
    • Mexico
  • Western Europe
    • Germany
    • France
    • The UK
    • Spain
    • Italy
    • Portugal
    • Ireland
    • Austria
    • Switzerland
    • Benelux
    • Nordic
    • Rest of Western Europe
  • Eastern Europe
    • Russia
    • Poland
    • The Czech Republic
    • Greece
    • Rest of Eastern Europe
  • APAC
    • China
    • Japan
    • South Korea
    • India
    • Australia & New Zealand
    • Indonesia
    • Malaysia
    • Philippines
    • Singapore
    • Thailand
    • Vietnam
    • Rest of APAC
  • Latin America
    • Brazil
    • Colombia
    • Chile
    • Argentina
    • Costa Rica
    • Rest of Latin America
  • Middle East & Africa
    • Algeria
    • Egypt
    • Israel
    • Kuwait
    • Nigeria
    • Saudi Arabia
    • South Africa
    • Turkey
    • United Arab Emirates
    • Rest of MEA

Competitive Landscape

The market for generative AI in customer service is still evolving & expanding rapidly with the large number of players competing for market share. The market for generative AI in customer service is highly competitive, with a large number of players offering a range of AI-powered solutions. The key players in this market are those who have developed strong AI capabilities & have a track record of delivering high-quality customer service solutions.

Key Market Players:

Listed below are some of the most important generative AI in customer service industry players.

  • Microsoft Corporation
  • IBM Corporation
  • Amazon Inc.
  • Google Inc.
  • Oracle Corporation
  • Haptic Technology
  • Other Key Players

Recent Developments of the Generative AI in Customer Service Market

  • In September 2021, Adobe announced a new feature for Photoshop, called “Neural Filters,” which uses generative AI to apply complex adjustments to images.
  • In June 2021, NVIDIA unveiled its new generative AI model, called DALL-E 2, which can generate highly realistic images from textual descriptions.
  • In May 2021, OpenAI announced the release of its new language model, GPT-3, which has 175 billion parameters, making it the largest language model to date

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Artificial Intelligence

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/ 
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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/ 
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