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Artificial Intelligence

$305 Million Worldwide Machine Translation Industry to 2027 – Featuring Asia Online, Cloudwords, IBM and Lionbridge Technologies Among Others

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Dublin, Oct. 04, 2022 (GLOBE NEWSWIRE) — The “Machine Translation Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2022-2027” report has been added to ResearchAndMarkets.com’s offering.

The global machine translation market size reached US$ 162.4 Million in 2021. Looking forward, the publisher expects the market to reach US$ 305.1 Million by 2027, exhibiting a CAGR of 11.08% during 2021-2027. Keeping in mind the uncertainties of COVID-19, we are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different end use industries. These insights are included in the report as a major market contributor.

Machine translation (MT) refers to a sub-field of computational linguistics that translates source content into target languages. It is a fully automated software, which allows customization and enhances the overall output by limiting the scope of permissible substitutions. It is useful in domains wherein formal or formulaic language is employed.

MT can work without human intervention to translate considerable amounts of information that cannot be translated conventionally. At present, the growth of adaptive machine translation, along with the reinvention of computer-aided translational tools, is offering lucrative opportunities to leading players in the industry.

The rising popularity of cloud-based applications represents one of the key factors strengthening the growth of the market. Cloud technology provides access to different services via cloud servers, thereby eliminating the need to invest in in-house hardware development or installations.

Moreover, the increasing requirement of organizations to localize their content in different languages and capture international markets is positively influencing the sales of MT solutions across the globe. Furthermore, key players are focusing on the development of advanced MT solutions to expand their product portfolio.

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For instance, Lilt Inc., an Artificial Intelligence (AI) powered language service provider, recently launched an adaptive neural machine translation system to utilize a real-time feedback loop and enhance the productivity of a human translator. Besides this, machine translation services are being developed to disseminate healthcare information regarding the ongoing coronavirus disease (COVID-19) pandemic in various regional languages.

Competitive Landscape:

The competitive landscape of the industry has also been examined along with the profiles of the key players being Applications Technology Inc., Asia Online Pte Ltd., Cloudwords Inc., International Business Machines Corporation, Lionbridge Technologies Inc., Pangeanic, Raytheon Technologies Corporation, SDL Plc (RWS Holdings Plc), Smart Communications Inc. (PLDT Inc.), Systran and Welocalize Inc.

Key Questions Answered in This Report:

  • How has the global machine translation market performed so far and how will it perform in the coming years?
  • What has been the impact of COVID-19 on the global machine translation market?
  • What are the key regional markets?
  • What is the breakup of the market based on the technology type?
  • What is the breakup of the market based on the deployment type?
  • What is the breakup of the market based on the application?
  • What are the various stages in the value chain of the industry?
  • What are the key driving factors and challenges in the industry?
  • What is the structure of the global machine translation market and who are the key players?
  • What is the degree of competition in the industry?

Key Topics Covered:

1 Preface

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2 Scope and Methodology

3 Executive Summary

4 Introduction
4.1 Overview
4.2 Key Industry Trends

5 Global Machine Translation Market
5.1 Market Overview
5.2 Market Performance
5.3 Impact of COVID-19
5.4 Market Forecast

6 Market Breakup by Technology Type
6.1 Statistical Machine Translation (SMT)
6.1.1 Market Trends
6.1.2 Market Forecast
6.2 Rule-Based Machine Translation (RBMT)
6.2.1 Market Trends
6.2.2 Market Forecast
6.3 Neural Machine Translation
6.3.1 Market Trends
6.3.2 Market Forecast
6.4 Others
6.4.1 Market Trends
6.4.2 Market Forecast

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7 Market Breakup by Deployment Type
7.1 On-Premises
7.1.1 Market Trends
7.1.2 Market Forecast
7.2 Cloud-Based
7.2.1 Market Trends
7.2.2 Market Forecast

8 Market Breakup by Application
8.1 BFSI
8.1.1 Market Trends
8.1.2 Market Forecast
8.2 Automotive
8.2.1 Market Trends
8.2.2 Market Forecast
8.3 Electronics
8.3.1 Market Trends
8.3.2 Market Forecast
8.4 Healthcare
8.4.1 Market Trends
8.4.2 Market Forecast
8.5 IT and Telecommunications
8.5.1 Market Trends
8.5.2 Market Forecast
8.6 Military and Defense
8.6.1 Market Trends
8.6.2 Market Forecast
8.7 Others
8.7.1 Market Trends
8.7.2 Market Forecast

9 Market Breakup by Region

10 SWOT Analysis

11 Value Chain Analysis

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12 Porters Five Forces Analysis

13 Price Analysis

14 Competitive Landscape
14.1 Market Structure
14.2 Key Players
14.3 Profiles of Key Players
14.3.1 Applications Technology Inc.
14.3.1.1 Company Overview
14.3.1.2 Product Portfolio
14.3.2 Asia Online Pte Ltd.
14.3.2.1 Company Overview
14.3.2.2 Product Portfolio
14.3.3 Cloudwords Inc.
14.3.3.1 Company Overview
14.3.3.2 Product Portfolio
14.3.4 International Business Machines Corporation
14.3.4.1 Company Overview
14.3.4.2 Product Portfolio
14.3.4.3 Financials
14.3.4.4 SWOT Analysis
14.3.5 Lionbridge Technologies Inc.
14.3.5.1 Company Overview
14.3.5.2 Product Portfolio
14.3.6 Pangeanic
14.3.6.1 Company Overview
14.3.6.2 Product Portfolio
14.3.6.3 Financials
14.3.7 Raytheon Technologies Corporation
14.3.7.1 Company Overview
14.3.7.2 Product Portfolio
14.3.7.3 Financials
14.3.7.4 SWOT Analysis
14.3.8 SDL Plc (RWS Holdings Plc)
14.3.8.1 Company Overview
14.3.8.2 Product Portfolio
14.3.8.3 Financials
14.3.9 Smart Communications Inc. (PLDT Inc.)
14.3.9.1 Company Overview
14.3.9.2 Product Portfolio
14.3.10 Systran
14.3.10.1 Company Overview
14.3.10.2 Product Portfolio
14.3.10.3 Financials
14.3.11 Welocalize Inc.
14.3.11.1 Company Overview
14.3.11.2 Product Portfolio

For more information about this report visit https://www.researchandmarkets.com/r/qtbvkq

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Artificial Intelligence

ZTE highlights building solid foundations with full-stack intelligent computing solution at MWC Shanghai 2024

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SHANGHAI, June 26, 2024 /PRNewswire/ — ZTE Corporation (0763.HK / 000063.SZ), a global leading provider of integrated information and communication technology solutions, will present innovative solutions and success cases in connectivity, computing power, industrial digitalization, and terminal devices at MWC Shanghai 2024, committed to building solid foundations with its full-stack and full-scenario intelligent computing solution.

In addition to exhibitions, ZTE will participate in various forums, sharing insights on trending topics, including AI, 5G, digitalization, etc. Meanwhile, the company will be hosting a series of launch events, showcasing its AI-powered eyewear-free 3D products and the Nebula Telecom Large Model.
Adhering to its “connectivity + computing” strategy, ZTE aims to create a dynamic ecosystem with industry partners, emphasizing openness and decoupling. Through continuous innovation, ZTE seeks to unfold an intelligent future.
Computing Power: Full-Stack Intelligent Computing as Efficient Foundation
ZTE provides a full-stack and full-scenario intelligent computing solution involving computing power, networks, capabilities, intelligence, and applications. With a full series of servers, high-performance storage products, lossless networks, and green data centers, ZTE has created a robust engine for diverse intelligent computing centers.
Connectivity: A New Era of 10Gbps Experience
Together with industry partners, ZTE continues to explore innovations in 5G-A technologies across different scenarios and industries, and empowers diversified new B2B and B2C services based on 10Gbps+ experience. Meanwhile, ZTE is also leading in global OTN technologies, and actively driving the evolution of all-optical connectivity, building 10Gbps networks for cities, and empowering smart life based on intelligent computing.
Industry: Phygital Convergence for Innovative Development
ZTE proposes the solution of “intelligent computing infrastructure + Digital Nebula,” facilitating phygital innovation and boost productivity in the intelligent era. ZTE has developed hundreds of exemplary projects in key sectors and ZTE Digital Nebula 3.0 has become the “super brain” of industrial digitalization, enabling customers and industry partners to foster a sustainable and intelligent ecosystem.
ZTE Mobile Devices: AI Full-Scenario Intelligent Ecosystem 3.0
With “AI for All” product strategy, ZTE has launched a full range of AI devices, including smartphones, tablets, laptops, PCs, and mobile internet products, dedicated to building AI Full-Scenario Intelligent Ecosystem 3.0. Emerging as a pioneer in cloud PCs, ZTE possesses a global user base of over 3 million.
For more information about ZTE’s highlights at MWC Shanghai 2024, please visit: https://www.zte.com.cn/global/about/news/zte-highlights-building-solid-foundations-with-full-stack-intelligent-computing-solution-at-mwc-shanghai-2024.html
MEDIA INQUIRIES:
Email: [email protected]

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Artificial Intelligence

Comviva named a Visionary in the 2024 Gartner® Magic Quadrant™ for AI in CSP Customer and Business Operations Report

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NEW DELHI, June 26, 2024 /PRNewswire/ — Comviva, the global leader in customer experience and data monetization solutions, today announced that it has been named a Visionary in the 2024 Gartner Magic Quadrant for AI in CSPs Customer and Business Operations report.

Gartner defines the market of AI in communications service provider (CSP) customer and business operations as commercial off-the-shelf (COTS) products. They are either capabilities embedded in CSP-specific operational technology (OT) applications (such as channels, CRM and other business support system [BSS] applications) or industry-agnostic horizontal applications delivering AI/machine learning (ML)-based customer and business operations to CSPs. CSP customer and business operations refer to marketing, sales, customer acquisition, customer journey, billing and revenue management, revenue assurance, and related risk management. The scope of AI products covers data readiness, life cycle management of algorithms and their application to CSP customer and business operations.
Comviva’s vision is to revolutionize the telecommunications industry by harnessing the transformative power of AI and Generative AI. With AI use cases across its MobiLytix™ and BlueMarble solutions, Comviva is enabling businesses to create, manage, and deliver real-time personalization, contextualized customer experiences, and intelligence-driven commerce at scale. Comviva has been noted for its strength in content creation, natural language generation, decision intelligence and machine learning.
“To thrive in today’s digital economy, businesses must accelerate the adoption of AI and related digital technologies. Comviva’s greatest strength has been our intelligent platforms that deliver personalized experiences and engagement across the customer journey,” said Rajesh Chandiramani, CEO at Comviva. “We are excited by this recognition as we believe that this affirms our strategic direction and leadership in revolutionizing telecommunications with AI. Comviva’s strong position in the quadrant validates our commitment and progress toward leveraging next-gen technologies in our solutions to deliver exceptional customer experiences.”
Comviva integrates state-of-the-art AI technologies across its comprehensive product portfolio, driving innovation, enhancing customer experiences, and optimizing business operations for Communications Service Providers (CSPs) around the world.
Source: Gartner Magic Quadrant for AI in CSP Customer and Business Operations, by Pulkit Pandey, Amresh Nandan, Peter Liu, 4 June 2024.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved.
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Sundeep Mehta, +91()9910030732, [email protected] 
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Artificial Intelligence

Jacobi releases Model Portfolio Tech to help investment firms capitalise on booming opportunity

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The search for technology to support model portfolio management and portfolio construction services is increasing as companies look to centralise and scale their model portfolio management and compete in a rapidly growing market.
LONDON, June 26, 2024 /PRNewswire/ — The utilisation of model portfolios among financial advisers has emerged as a transformative force, with staggering growth in model portfolios projected to continue over the next decade. And with good reason, they offer an efficient method for diversification, risk management, and portfolio construction, with personalisation features to match the unique financial goals and risk tolerances of clients.

Financial advisers are also increasingly turning to asset managers for assistance in managing the model portfolios they build and maintain for clients. Jacobi’s model management technology enables asset managers to scale the portfolio construction services they offer financial professionals. The technology enables a platform that can centralise performance and risk analytics, integrate investment workflows, and produce professional reports to share with clients.
An early adopter of Jacobi’s model technology, leading asset manager T. Rowe Price has seen improved process efficiencies and enhanced engagement with clients.
Chris Augelli, Head of Advisor Engagement & Portfolio Construction Solutions at T. Rowe Price, says:
“Jacobi’s technology has enabled us to work faster and handle the increasing demand for our portfolio construction services. Having the team on one common platform through Jacobi has facilitated collaboration in real-time, which has supported our effectiveness in meeting clients’ needs.”
Tanya Bartolini, Chief Revenue Officer at Jacobi, says:
“Our technology helps us partner with asset managers such as T.Rowe Price to scale and connect workflows, driving enormous efficiencies – and ultimately increasing their market distribution.”
About Jacobi
Jacobi Inc. is a global investment technology provider that streamlines multi-asset investment processes and enables portfolio design, analysis, and client engagement. Its unique “open architecture” platform allows users to tailor the platform by integrating their own code, models, data, analytics, and applications.
Founded in 2014, Jacobi provides its technology to top-tier investors across the globe, including some of the world’s leading asset and wealth managers, pension funds, asset owners, and investment consultants. 
About T.Rowe Price 
Founded in 1937, T. Rowe Price helps people around the world achieve their long-term investment goals. As a large global asset management company known for investment excellence, retirement leadership, and independent proprietary research, the firm is built on a culture of integrity that puts client interests first. Investors rely on the award-winning firm for its retirement expertise and active management of equity, fixed income, alternatives, and multi-asset investments. T. Rowe Price manages $1.54 trillion in client assets as of May 31, 2024, and it serves millions of clients globally.
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