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Predictive Maintenance in Manufacturing Market Will Revenue to Cross USD 21330 million in 2022 to 2028 Research by Business Opportunities, Top Companies, Market-specific challenges, Statistics, new opportunities planning

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PUNE, Aug. 19, 2022 (GLOBE NEWSWIRE) — Global “Predictive Maintenance In Manufacturing Market” research report focus on overall information that can help to take decisions on current market situation. According to our researcher latest study, due to COVID-19 pandemic, the global Predictive Maintenance In Manufacturing market size is estimated to be worth US$ 5369.1 million in 2021 and is forecast to a readjusted size of USD 21330 million by 2028 with a CAGR of 21.8% during review period.

Predictive Maintenance In Manufacturing Market Report Contains: –

  • Complete overview of the global Predictive Maintenance In Manufacturing Market
  • Top Country data and analysis for United States, Canada, Mexico, Germany, France, United Kingdom, Russia, Italy, China, Japan, Korea, India, Southeast Asia, Australia, Brazil and Saudi Arabia, etc. It also throws light on the progress of key regional Predictive Maintenance In Manufacturing markets such as North America, Europe, Asia-Pacific, South America and Middle East and Africa
  • Description and analysis of Predictive Maintenance In Manufacturing market potential by type, Deep Dive, disruption, application capacity, end use industry
  • impact evaluation of most important drivers and restraints, and dynamics of the global Predictive Maintenance In Manufacturing market and current trends in the enterprise
  • Detailed profiles of the Top major players in the industry, including. IBM,Microsoft,SAP,GE Digital,Schneider,Hitachi,Siemens,Intel,RapidMiner,Rockwell Automation,Software AG,Cisco,Bosch.IO,C3.ai,Dell,Augury Systems,Senseye,T-Systems International,TIBCO Software,Fiix,Uptake,Sigma Industrial Precision,Dingo,Huawei,ABB,AVEVA,SAS

Get a Sample Copy of the Report at – https://proficientmarketinsights.com/enquiry/request-sample/20379726?utm_source=ng

Predictive Maintenance In Manufacturing Market Segmentation: –

“Predictive Maintenance In Manufacturing Market Size 2022” research report focus on overall information that can help to take decisions on current market situation. This report provides information about Size, Types, Application, Production, Revenue, Growth Rate, Gross margin, opportunities with future risk analysis. The report also describes top company profiles that present in market with trends worldwide. This article contains financial changes during years with Impact of COVID-19 on Predictive Maintenance In Manufacturing market.

The Predictive Maintenance In Manufacturing market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, sales analysis, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.

Global key companies of Predictive Maintenance In Manufacturing include IBM, Microsoft, SAP, GE Digital, and Schneider, etc. In terms of revenue, the global top four players hold a share over % in 2021.

Predictive Maintenance In Manufacturing Market segments help decision-makers direct the product, sales, and marketing strategies, and can power your product development cycles by informing how you make product offerings for different segments.

Market segment by Type, covers

  • Cloud Based
  • On-premises

Market segment by Application, can be divided into

  • Industrial and Manufacturing
  • Transportation and Logistics
  • Energy and Utilities
  • Healthcare and Life Sciences
  • Education and Government
  • Others

Market segment by Region/Country including: –

  • North America (United States, Canada, and Mexico)
  • Europe (Germany, UK, France, Italy, Russia and Spain, etc.)
  • Asia-Pacific (China, Japan, Korea, India, Australia, Southeast Asia, etc.)
  • South America (Brazil, Argentina, Colombia, etc.)
  • Middle East & Africa (South Africa, UAE, Saudi Arabia, etc.)

Key Players in the Predictive Maintenance In Manufacturing Market: –

  • IBM
  • Microsoft
  • SAP
  • GE Digital
  • Schneider
  • Hitachi
  • Siemens
  • Intel
  • RapidMiner
  • Rockwell Automation
  • Software AG
  • Cisco
  • Bosch.IO
  • C3.ai
  • Dell
  • Augury Systems
  • Senseye
  • T-Systems International
  • TIBCO Software
  • Fiix
  • Uptake
  • Sigma Industrial Precision
  • Dingo
  • Huawei
  • ABB
  • AVEVA
  • SAS

Get a Sample Copy of the Report at – https://proficientmarketinsights.com/enquiry/request-sample/20379726?utm_source=ng

Key Benefits of Predictive Maintenance In Manufacturing Market Research Report:

  • Types, applications, regions, and key players covered in the study
  • Industry drivers, restraints, and opportunities covered in the study
  • Recent industry trends and developments
  • Competitive landscape & strategies of key players
  • Historical, current, and projected market size, in terms of value
  • In-depth analysis of the Artificial Intelligence AI Chips Market
  • Sales, price, revenue, market share, and growth rate are covered in the report sales channels, distributors, traders, dealers, etc. are covered in the report

Detailed TOC of Global Predictive Maintenance In Manufacturing Market 2022 by Company, Regions, Type and Application, Forecast to 2028

1 Market Overview

    1.1 Product Overview and Scope of Predictive Maintenance In Manufacturing

    1.2 Classification of Predictive Maintenance In Manufacturing by Type

        1.2.1 Overview: Global Predictive Maintenance In Manufacturing Market Size by Type: 2017 Versus 2021 Versus 2028

        1.2.2 Global Predictive Maintenance In Manufacturing Revenue Market Share by Type in 2021

        1.2.3 Cloud Based

        1.2.4 On-premises

    1.3 Global Predictive Maintenance In Manufacturing Market by Application

        1.3.1 Overview: Global Predictive Maintenance In Manufacturing Market Size by Application: 2017 Versus 2021 Versus 2028

        1.3.2 Industrial and Manufacturing

        1.3.3 Transportation and Logistics

        1.3.4 Energy and Utilities

        1.3.5 Healthcare and Life Sciences

        1.3.6 Education and Government

        1.3.7 Others

    1.4 Global Predictive Maintenance In Manufacturing Market Size & Forecast

    1.5 Global Predictive Maintenance In Manufacturing Market Size and Forecast by Region

        1.5.1 Global Predictive Maintenance In Manufacturing Market Size by Region: 2017 VS 2021 VS 2028

        1.5.2 Global Predictive Maintenance In Manufacturing Market Size by Region, (2017-2022)

        1.5.3 North America Predictive Maintenance In Manufacturing Market Size and Prospect (2017-2028)

        1.5.4 Europe Predictive Maintenance In Manufacturing Market Size and Prospect (2017-2028)

        1.5.5 Asia-Pacific Predictive Maintenance In Manufacturing Market Size and Prospect (2017-2028)

        1.5.6 South America Predictive Maintenance In Manufacturing Market Size and Prospect (2017-2028)

        1.5.7 Middle East and Africa Predictive Maintenance In Manufacturing Market Size and Prospect (2017-2028)

    1.6 Market Drivers, Restraints and Trends

        1.6.1 Predictive Maintenance In Manufacturing Market Drivers

        1.6.2 Predictive Maintenance In Manufacturing Market Restraints

        1.6.3 Predictive Maintenance In Manufacturing Trends Analysis

Explore Full Report With Detailed TOC Here: https://proficientmarketinsights.com/TOC/20379726?utm_source=ng#TOC

1.To study and analyze the global Predictive Maintenance In Manufacturing consumption (value) by key regions/countries, product type and application

2.To understand the structure of Predictive Maintenance In Manufacturing market by identifying its various sub segments.

3.Focuses on the key global Predictive Maintenance In Manufacturing manufacturers, to define, describe and analyze the value, market share, market competition landscape, Porter’s five forces analysis, SWOT analysis and development plans in next few years.

4.To analyze the Predictive Maintenance In Manufacturing with respect to individual growth trends, future prospects, and their contribution to the total market.

5.To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).

6.To project the consumption of Predictive Maintenance In Manufacturing submarkets, with respect to key regions (along with their respective key countries).

7.To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.

8.To strategically profile the key players and comprehensively analyze their growth strategies.

Key Reasons to Purchase

To gain insightful analyses of the market and have comprehensive understanding of the global Predictive Maintenance In Manufacturing market and its commercial landscape.

Assess the production processes, major issues, and solutions to mitigate the development risk.

To understand the most affecting driving and restraining forces in the Predictive Maintenance In Manufacturing market and its impact in the global market.

Learn about the Predictive Maintenance In Manufacturing market strategies that are being adopted by leading respective organizations.

To understand the future outlook and prospects for the Predictive Maintenance In Manufacturing market.

Besides the standard structure reports, we also provide custom research according to specific requirements

The content of the study subjects, includes a total of 12 chapters:

Chapter 1, to describe Predictive Maintenance In Manufacturing product scope, market overview, market opportunities, market driving force and market risks.

Chapter 2, to profile the top players of Predictive Maintenance In Manufacturing, with revenue, gross margin and global market share of Predictive Maintenance In Manufacturing from 2019 to 2022.

Chapter 3, the Predictive Maintenance In Manufacturing competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.

Chapter 4 and 5, to segment the market size by Type and application, with revenue and growth rate by Type, application, from 2017 to 2028.

Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2017 to 2022.and Predictive Maintenance In Manufacturing market forecast, by regions, type and application, with revenue, from 2023 to 2028.

Chapter 11 and 12, to describe Predictive Maintenance In Manufacturing research findings and conclusion, appendix and data source.

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Artificial Intelligence

CoreWeave Invests £1 Billion in UK; Opens New European Headquarters and Data Centres in London to Bring Cloud Infrastructure to Power the AI Revolution

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LONDON, May 10, 2024 /PRNewswire/ — CoreWeave, the leading specialized cloud provider for AI, today announced that it has opened an office in London as its European headquarters as part of a broader expansion into the continent. The new UK expansion represents a £1 billion investment to bolster the country’s AI potential, and will create job opportunities across engineering, operations, finance and go-to-market. CoreWeave plans to open two UK data centres in 2024 with further expansion planned in 2025.

“We are seeing unprecedented demand for AI infrastructure and London is an important AI hub that we are investing in. Expanding our physical footprint in the UK is an important milestone in the next phase of CoreWeave’s growth,” said Mike Intrator, Cofounder and Chief Executive Officer, CoreWeave. “CoreWeave’s infrastructure will fill a void in the cloud market by providing AI enterprises with localized high-performance compute solutions that will help build and deploy the next generation of AI applications.”  
Prime Minister Rishi Sunak said: “Companies like CoreWeave are powering the future of AI innovation, and I am proud that they’ve backed the UK with a £1 billion investment into UK data centres and have established their European headquarters here – further cementing the UK’s position as an AI and tech superpower.
“We’re leaving no stone unturned to make the UK the best place for pioneering companies like CoreWeave to grow their roots. With the third highest number of AI companies and private investment in AI in the world, it’s clear our plan is working.”
Secretary of State of Science, Innovation, and Technology, Michelle Donelan said: “CoreWeave’s decision to base their European HQ here in London is not just a sign of our tech investment prowess, it is a resounding vote of confidence in our approach to AI and innovation. Today’s £1 billion investment will bring two new data centres to our shores, a vital tool in helping to develop the AI breakthroughs of tomorrow.
“It will also lead to new, highly paid jobs and countless opportunities for our brightest AI minds and start-ups as the UK continues to cement its global AI powerhouse credentials. Our message is clear – when it comes to investment, scaling-up, and innovation, the UK is the perfect home from home.”
CoreWeave’s new European headquarters in London is strategically located given the tremendous AI talent in the UK. The investment in the UK builds on the UK government’s established leadership fostering global awareness and engagement on responsible AI and the country’s commitment to drive investment with plans to upskill millions across the UK in AI. CoreWeave’s presence in the region will support the continued expansion of AI labs and enterprise customers across the UK, bringing much needed computing power to the UK.
CoreWeave’s existing data centres support some of the largest deployments of high-performance GPU clusters in the world, and the infrastructure through which those clusters are consumed is designed with engineers and innovators in mind. Trusted by leading AI labs and enterprises, CoreWeave Cloud manages complexity through automation to deliver the most performant and efficient cloud infrastructure for AI workloads.
About CoreWeave
CoreWeave is a specialized GPU cloud provider, designed to power the most complex workloads with customized solutions at scale. The company’s portfolio of cutting-edge technology delivers a broad range of capabilities for machine learning and AI, graphics and rendering, life sciences, real-time streaming, and more. Its world-class teams, talent, and engineering prowess bring unmatched speed-to-market for advanced compute. CoreWeave operates a growing footprint of data centers covering every region of the US. It was founded in 2017 and is based in New Jersey. Learn more at www.coreweave.com.
Contact
Jackson [email protected] 

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Artificial Intelligence

Linnovate Partners Announces Close of USD 40 Million Funding Commitment Led by SeaTown

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SINGAPORE, May 10, 2024 /PRNewswire/ — Linnovate Partners (“Linnovate”), a leader in asset servicing and fintech for the alternative investment industry, is pleased to announce the successful closure of USD 40 million funding commitment by SeaTown Private Capital Master Fund. SeaTown Private Capital Master Fund is managed by SeaTown Holdings International Pte. Ltd. (“SeaTown”), a leading Asia-focused alternative investments firm that is owned by Seviora, Temasek’s asset management group. This capital infusion marks a pivotal moment in Linnovate’s journey, enabling the firm to scale operations, drive innovation, and further solidify its position as a market leader.

As Linnovate continues to experience rapid growth and increasing demand for its tech-enabled services, the infusion of funds will play a vital role in meeting client requirements and advancing market innovation. The investment will enable Linnovate to allocate additional resources strategically, ensuring the company remains at the forefront of technology advancements and maintains its commitment to delivering exceptional solutions to clients worldwide.
Henry Lin, founder and CEO of Linnovate Partners, expressed enthusiasm about the opportunities this investment opens “We are thrilled to have SeaTown as our strategic partner and investor. This investment will be instrumental in accelerating our growth trajectory, providing us with the necessary resources to enhance our service offering, and continue delivering cutting-edge solutions to our clients and the industry itself.”
Dickson Loo, Managing Director of SeaTown, commented, “Linnovate has established itself to be an industry-leading player with their highly differentiated culture of customer centricity and strong technology focus. We are excited to be part of the next phase of Linnovate’s growth story, as we leverage our network, resources and expertise to help the company scale to greater heights”.
Linnovate has built a strong reputation for its innovative approach to solving manual mid-to-back-office tasks involved in fund administration through tech-enabled services. The company’s commitment to pushing the boundaries of technological advancement has earned it the trust of numerous high-profile private equity and venture capital firm clients and established it as a sought-after partner in the industry.
About Linnovate PartnersLinnovate Partners is a leading asset services provider focused on driving innovation in the alternative investments industry. With expertise across the entire fund lifecycle, Linnovate Partners goes beyond traditional fund administration to provide value-added services and technologies that empower asset and fund managers to excel in their operations. Its six core service areas include Fund Administration, Investor Relations, Regulatory Compliance, Portfolio Monitoring, Reporting Services and Technology Consulting Services.
Powering these services is a proprietary, cloud-based platform, RAISE, that provides all the functions of alternative investing in a single ecosystem and enables seamless integration and accessibility.
With offices globally, Linnovate Partners currently administers over $130 billion in assets across more than 600 private equity and venture capital funds. As an innovation-focused disruptor, Linnovate Partners combines deep industry expertise and the latest technologies to drive better outcomes for alternative investment managers and investors worldwide.
About SeaTown:Founded and headquartered in Singapore since 2009, SeaTown is a leading Asia-focused alternative investments firm with deep expertise across private and public markets.
Owned by Seviora, Temasek’s asset management group, SeaTown is a trusted steward of capital, investing alongside its investors in conviction-driven strategies. Its alternative investment fund platform offers international investors exposure to highly specialised private equity, private credit, and thematic absolute return opportunities in the region.
As a partner, SeaTown strives to deliver compelling risk-adjusted returns by leveraging its extensive relationship network, decades of investing experience and astute global perspectives.
For additional information, inquiries, or interview schedule, please contact:Linnovate Partners:Andrea [email protected]
SeaTown:Kayla [email protected]

View original content:https://www.prnewswire.co.uk/news-releases/linnovate-partners-announces-close-of-usd-40-million-funding-commitment-led-by-seatown-302141238.html

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FinVolution to Hold 9th Global Data Science Competition, Focus on Deepfake Speech Detection in LLM era

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The 9th FinVolution Global Data Science Competition targets deepfake speech detection, tackling the challenge of distinguishing between cloned and authentic voices in the LLM era.The contest is part of the IJCAI 2024 Competitions and Challenges track, encouraging global collaboration and innovation among AI enthusiasts.By integrating LLM-generated fake voices in the test dataset, the competition increases complexity and spurs innovation.SHANGHAI, May 10, 2024 /PRNewswire/ — FinVolution, a leading fintech service provider, launches the 9th FinVolution Global Data Science Competition today, with a focus on “Deepfake Speech Detection.”  The contest is part of the IJCAI (International Joint Conference on Artificial Intelligence) Competitions and Challenges track, a top international AI conference.

As voice synthesis technology continues to evolve, the line between cloned and genuine voices has become increasingly blurred in the era of large language models (LLMs), posing significant challenges to data security and asset protection.
The competition aims to inspire global AI enthusiasts and experts to innovate in combating voice cloning and deepfake scams. Contestants will utilize deep learning technologies to develop models and algorithms based on FinVolution’s test dataset. The competition will include LLM-generated fake voices to elevate complexity and spur innovation.
With a total prize pool of RMB 310,000, the contest will consist of preliminaries, semifinals, and a final, with an aim to authenticate true and false voices. Highest-ranked contestants will attend IJCAI 2024 in Jeju of South Korea, to receive the awards and engage with academic and industry experts. FinVolution proudly sponsors IJCAI 2024.
Tiezheng Li, CEO of FinVolution, stated, “Since its inception nine years ago, the FinVolution Global Data Science Competition has evolved into a widely recognized event in the field of data technology, facilitating technical exchange worldwide. Partnering with IJCAI this year, a top-tier international AI conference, demonstrates our commitment to advancing deep speech recognition technology.”
The Deepfake Challenge
During the preliminaries (May 10 to June 12), participants will design algorithms based on the white-box dataset supplied by FinVolution and submit scoring results to qualify for the semifinals. The dataset primarily comprises voice recordings totaling 20-40 hours.
At the semifinal stage (June 13 to June 28), contenders are expected to refine their algorithms based on the black-box dataset provided by the competition organizer, vying for a spot in the final. The dataset, composed mainly of private data, contains five to 10 hours of recordings.
Participants can register on the official website from May 9 to June 3, to download and view the datasets.
Upholding AI Ethics
Voice cloning has emerged as a major form of telecom fraud, as scammers exploit AI technology to make distinction between genuine and fake voices increasingly tricky.
The competition focuses on safeguarding user privacy and combating fraudulent activities by identifying cloned voices accurately.
Lei Chen, Vice President of FinVolution and Head of its Big Data and AI Division, said, “The applications of Large Language Models far exceed the corresponding detection technology, posing great challenges to information security. We hope to see AI deepfake voice detection technology keep pace with the developments of LLMs, thus safeguarding the data security of the public. With this concept in mind, the FinVolution Global Data Science Competition is not only a platform for technical competition but also an opportunity to explore how AI can better adhere to ethical principles and serve the public.” 
To date, the FinVolution Global Data Science Competition has drawn nearly 10,000 participants globally in total, becoming a widely recognized event in the field of digital financial technology.
Organized annually since 2016, the contest themes have spanned diverse domains, all rooted in real-world fintech business scenarios. These themes range from risk control algorithms, financial data applications, and product development to semantic similarity recognition, asset portfolio cash flow prediction, and credit schemes for small- and micro-sized enterprises.
About FinVolution Group
FinVolution Group is a leading fintech company that connects millions of consumers as well as micro- and small-sized enterprises with financial institutions.
Founded in 2007 and listed on the New York Stock Exchange in 2017, we have been at the forefront of the pan-Asian credit technology industry, pioneering innovative technologies in credit risk assessment, fraud detection, big data, and artificial intelligence. With a proven track record of robust growth in pan-Asian countries, we have established leading fintech platforms in China, Indonesia, and the Philippines.
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