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Generative AI In Software Development Market to Witness Strong Growth, with a Projected CAGR of 21.4% | MarketResearch.Biz Report

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New York, June 08, 2023 (GLOBE NEWSWIRE) — According to MarketResearch.Biz, the Generative AI in Software Development Market size is projected to surpass around USD 169.2 Billion by 2032, and it is poised to reach a registered CAGR of 21.4% from 2023 to 2032.

Generative AI in software development is the application of artificial intelligence techniques such as deep learning and machine learning to automatically generate software code and designs. The main focus of these is to support developers in different aspects of the software development process, which improves efficiency and productivity. In the traditional method software development includes manual coding which is time-consuming. Generative AI in software development controls large datasets of existing code and uses machine learning algorithms to learn patterns and structures. With this knowledge, AI models can generate new code or provide recommendations and suggestions to developers.

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Generative AI In Software Development Market

Key Takeaway

  • By component, in 2022, the generative AI in software development market was dominated by the services segment.
  • By deployment mode, the cloud-based segment was dominated due to the rising adoption of cloud-based technologies in software development.
  • By application, code generation was dominated as a prime market during the forecast period.
  • In 2022, North America dominated the market with the highest revenue share of 36.6%.
  • Europe is also leading to market growth of generative AI in software development, as countries like Germany, France, and others have observed an increase in the adoption of generative AI tools in different industries.

Factors affecting the growth of generative AI in software development market?

There are several factors that can have an impact on the growth of generative AI in the software development market. Some of these factors include:

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  • Technological Advancements: Generative AI models continue to enhance in terms of efficiency, accuracy, and capabilities. Advancements in machine learning algorithms led to an increase in the growth of the market.
  • Data Availability and Quality: Generative AI models need a large amount of data to learn from. The availability of high-quality datasets plays an important role in training models.
  • Research and Development Investments: In academic institutes and private companies increased investments in research and development which led to growth in generative AI in the software development market.

Market Growth

The generative AI in the software development market is highly competitive, with a large number of players operating in the market. The companies are investing largely in R&D activities and collaborations to develop innovative generative Ai solutions for the software development sector. They are also expanding their product portfolio and geographic presence through mergers, acquisitions, and partnerships. In terms of market share, IBM Corporation is a key player in the generative AI in the finance market, with a significant share of the market.

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Top Trends

Generative AI is being used to automate software testing processes. These models can generate test cases, pretend user interactions, and identify potential bugs or irregularities in software systems. This helps in enhancing testing efficiency, ensuring software quality, and reducing human effort.

Generative AI can help in identifying security weaknesses, bug detection, or areas for code optimization. By investigating codebases, these models can automatically identify potential issues, recommend fixes, or optimize existing code to increase performance, security, and reliability.

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Regional Analysis

One of the largest markets for generative AI in software development is in North America. The area boasts an adequate regulatory environment, and a well-established software development ecosystem, including startups and large technology companies. The greatest market in this region. The presence of large AI research universities and institutions has raised innovation in generative AI. Companies in North America have been fast to adopt generative AI tools and frameworks to increase the software development process, generate code scraps, and automate tasks. In North America, various successful generative AI startups are developed, which are contributing to the overall growth of the market.

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Scope of the Report

Report Attribute Details
Market Value (2022) US$ 25.4 Mn
Market Size (2032) US$ 169.2 Mn
CAGR (from 2023 to 2032) 21.4%from 2023 to 2032
North America Revenue Share 36.60%
Historic Period 2016 to 2022
Base Year 2022
Forecast Year 2023 to 2032

Market Drivers

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The demand for software developers far surpasses the supply resulting in a lack of skilled professionals. Generative AI can bridge this gap by automating certain development tasks, by allowing junior developers or non-professionals to quickly generate code or create solutions with slight coding knowledge. Which helps organizations cope with the shortage of skilled developers and increase the development process. This increases the growth of generative AI in the software development market.

Market Restraints

Generative AI models such as deep learning models can be highly complex and difficult to understand how the models are making predictions. The outputs of the generative AI model may be hard to explain or understand and making it challenging for developers to change, debug or maintain the generated code or designs. The efficiency of interpretability can break the trust and adoption of generative AI in certain regulated domains where an explanation is needed.

Market Opportunities

Generative AI can be used to generate user interfaces (UIs) and design elements for software applications. By learning from user preferences and existing designs. AI models can create new UI layouts, visual elements, and color schemes, which saves the designer’s effort and time. This can be mainly useful for generating design variations and prototyping.

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Report Segmentation

Component Insight

The service segment of generative AI in software development market refers to various types of services offered to organizations or individuals looking to influence generative AI technology in their software development projects. Services include consulting and advisory services, custom development services, and training and education services. Consulting and advisory services provide guidelines on incorporating generative AI into software development projects.

Deployment Mode Insight

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The cloud-based segment currently holds the top spot in the generative AI in software development market by deployment mode. This is owing to the increasing adoption of cloud-based technologies in software development and the advantages of cloud-based deployments, such as flexibility, scalability & cost-effectiveness. Cloud-based deployment mode in generative AI means the practice of deploying and running generative AI applications and models on cloud infrastructure. Cloud-based deployment mode also allows software developers to access AI capabilities and resources quickly & easily, without making significant investments in infrastructure and hardware.

Application Insight

The code generation segment holds the largest revenue share of generative AI in the software development market. In code generation, generative AI automatically generates pieces of code or even completes programs based on given specifications. It can save developers time and effort by automating repetitive tasks and providing initial code structures which is helpful for developers.

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Market Segmentation

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Based on Component

  • Solutions
  • Services

Based on Deployment Mode

  • On-Premise
  • Cloud-Based

Based on Application

  • Code Generation
  • Code Optimization
  • Bug Detection
  • Testing and Quality Assurance
  • Other Applications

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

Businesses in the generative AI in software development market are developing new technologies expansion strategies through investments and mergers, and acquisitions. In addition, several key players are now focusing on the expansion of new ideas to expand the technology of generative AI in Software Development.

Some of the major players include:

  • IBM Corporation
  • Google LLC
  • Microsoft Corporation
  • Oracle Corporation
  • Amazon Web Services (AWS)
  • CloudBees, Inc.
  • Chef Software, Inc.
  • Red Hat, Inc.
  • Atlassian Corporation Plc
  • Other Key Players

Recent Developments

  • OpenAI has made significant strides forward in the field of generative AI with their GPT-3 model, released in June 2020 and used in various software development applications including code generation and natural language understanding.
  • In June 2020, GitHub unveiled a feature known as “Copilot,” which uses generative AI to provide developers with code suggestions and auto-completion while they write code. Copilot relies on OpenAI’s Codex language model – trained over multiple publicly available code repositories – which provides code suggestions and auto-completion while the programmer writes.
  • Microsoft Research has been active in exploring and creating generative AI techniques for software development. Their team has tested neural networks as bug detectors, code completion assistants and refactoring techniques; with research papers and prototypes that demonstrate their commitment to pushing forward this field.
  • Intel has been exploring how generative AI can assist with code analysis and optimization, with machine learning models to identify performance bottlenecks, optimize software for specific hardware architectures, and automate code refactoring processes.

Related Reports

  • Generative AI in the HR Market size is expected to be worth around USD 1669.3 Mn by 2032 from USD 413.1 Mn in 2022, growing at a CAGR of 15.4%. during the forecast period from 2023 to 2032.
  • Generative AI in Retail Market size is expected to be worth around USD 8,386 Mn by 2032 from USD 395 Mn in 2022, growing at a CAGR of 36.8% during the forecast period from 2023 to 2032.
  • Generative AI in Education Market size is expected to be worth around USD 5,523.074 Mn by 2032 from USD 214.9 Mn in 2022, growing at a CAGR of 39.50% during the forecast period from 2023 to 2032.

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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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