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Artificial Intelligence

Global AI Training Dataset Industry 2021-2027: AI-based Tools & Solutions has seen Massive Deployment in All Sectors due to COVID-19

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Dublin, Dec. 30, 2021 (GLOBE NEWSWIRE) — The “Global AI Training Dataset Market By Type (Image/Video, Text and Audio), By End User (IT & Telecom, Retail & E-commerce, Government, Healthcare, Automotive, and Others), By Regional Outlook, Industry Analysis Report and Forecast, 2021 – 2027” report has been added to ResearchAndMarkets.com’s offering.

The Global AI Training Dataset Market is expected to reach $3.1 billion by 2027, rising at a market growth of 17.4% CAGR during the forecast period.

AI has gained a vital place in several industrial applications like IT, retail & e-commerce, healthcare, BFSI, and manufacturing. In addition, the rising demand for application-specific training data is offering lucrative opportunities for the new players.

Artificial Intelligence has become important to big data because it enables to obtain the complex and high-level abstractions utilizing a hierarchical learning process and helps in obtaining meaningful patterns from large volume data through extraction and mining processes.

AI allows machines to perform tasks like a human by learning from experience and adjusting to the new inputs. Artificial Intelligence trains machines to process a huge volume of data and control patterns to complete the task given to them. Specific datasets are needed for the training of these machines. Thus, there is a huge demand for AI training datasets to fulfill this need in the market.

These machines perform tasks according to the dataset provided to them. Hence, it is necessary to offer superior-quality datasets to machines for better training.

The superior-quality dataset helps in improving the performance level of artificial intelligence, resulting in decreasing the time taken to prepare data, and also helps in improving predictions precision. Therefore, the market players across the globe are aiming to acquire companies, which assist in improving the data quality.

COVID-19 Impact Analysis

The outbreak of the COVID-19 pandemic has encouraged developments in applications and technologies that are used in various sectors. Also, the pandemic has increased the adoption rate of AI in sectors like healthcare. The crisis has created a situation where all industries are facing challenges in running their business.

To respond to this situation, AI-based tools and solutions have found their great deployment in all sectors. The key players in the market are focusing on shifting their business towards digitalization, due to which, there is a huge demand for AI solutions in the market.

Hence, these factors are accountable to have a positive effect on the AI training dataset market during the COVID-19 pandemic. In addition, to facilitate smooth operations of businesses during the pandemic, businessmen were compelled to deploy advanced analytics and other AI-based technologies.

Moreover, businesses have become dependent on advanced technologies, which are anticipated to surge the growth of the market in the coming years. Further, several industries like healthcare, IT & automotive, and e-commerce are projected to fuel the deployment rate of the AI training dataset. Therefore, it can be estimated that the growth of the AI training dataset market will accelerate during the forecast period.

Market Growth Factors

Several enhancements in the field of AI training dataset

A training dataset is a collection of information that is used to develop a machine learning model, through which the model creates and refines its rules. The quality of the training dataset has intense implications for the model’s successive development, setting an ideal example for all future applications that may utilize the same training dataset.

Generation of large volume data and improvements in technology

The huge volume of data produced from several technologies like machine learning, big data, and artificial intelligence has increased the demand for AI training datasets. A large volume of unstructured and irrelevant data is produced by these technologies, thus, it is essential to train a machine learning model through precise and appropriate data.

Market Restraining Factors

Lack of expertise

AI is a complicated system and for its adoption and management, companies need a workforce with special skill sets. For example, a workforce that is operating AI systems should have working experience with technologies like machine learning, machine intelligence, deep learning, image recognition, and cognitive computing. The incorporation of AI solutions with the present systems is a complex task that needs large data processing to replicate the human brain behavior.

Cardinal Matrix – AI Training Dataset Market Competition Analysis

The major strategies followed by the market participants are Product Launches. Based on the Analysis presented in the Cardinal matrix; Google, Inc. and Microsoft Corporation are the forerunners in the AI Training Dataset Market. Companies such as Amazon Web Services, Inc., Telus International, Scale AI Inc. are some of the key innovators in the market.

The market research report covers the analysis of key stake holders of the market.

Key companies profiled in the report include:

  • Google, LLC (Kaggle)
  • Appen Limited
  • Cogito Tech LLC
  • Telus International (Telus Corporation)
  • Amazon Web Services, Inc.
  • Microsoft Corporation
  • Scale AI Inc.
  • Sama Inc.
  • Alegion
  • Kinetic Vision, Inc. (Deep Vision Data)

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


GlobeNewswire is one of the world's largest newswire distribution networks, specializing in the delivery of corporate press releases financial disclosures and multimedia content to the media, investment community, individual investors and the general public.

Artificial Intelligence

First Comprehensive Report on Public Web Data Released by Bright Data

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Reveals necessity in every industry
NEW YORK, April 23, 2024 /PRNewswire/ — Released today, The State of Public Web Data Report 2024, details a comprehensive analysis on how organizations leverage public web data to drive innovation, enhance customer experience, and develop AI models.

Bright Data commissioned an independent third-party to carry out the first survey of this kind which details the emergence of public web data as the most valued data type. Nearly every organization surveyed uses and benefits from public web data through quicker decision-making, boosting revenue, and meeting customer needs.
The need for public web data in AI is clear in all industries, with more than half of respondents using public web data to build AI models for customer service or to meet internal needs such as fraud detection and risk assessment.
Although necessary to build AI machines, 72% of respondents are worried that public web data will no longer be accessible in the next 5 years. The lack of a legal framework to protect this data emerged as a top concern.
Other key insights from the report:
89% of respondents recognize public web data is crucial or very important to the global economy.82% of respondents say public web data is critical to the future of their organization.79% of respondents agree that large organizations and or big tech hide too much of their public web data.88% of respondents believe public web data is critical for the development of AI models.”Our findings reveal a clear consensus among industry leaders: leveraging public web data is key to unlocking growth and fostering innovation,” said Or Lenchner, CEO of Bright Data. “Public web data is not a ‘like to have,’ it’s a ‘must have’ to conduct business and maintain a competitive market. We understand from our own experience with 20,000 customers that once a business realizes the potential of public web data they will look to discover new ways to leverage this tool to lead against the competition.”
About Bright Data: Bright Data is the #1 web data platform. Fortune 500 companies, academic institutions, non-profits, and small businesses rely on Bright Data’s solutions to collect public web data in the most efficient, reliable, and flexible way to make faster, more informed business-critical decisions.
Contacts:[email protected]
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Artificial Intelligence

OSIA becomes an official International Telecoms Union (ITU) standard

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ITU Standardization Sector (ITU-T) Recommendation X.1281 – APIs for interoperability of identity management systems
BRUSSELS, April 23, 2024 /PRNewswire/ — The Secure Identity Alliance (SIA) announced today that its OSIA specification, is recognized as international standard by the International Telecommunication Union’s Telecommunication Standardization Sector (ITU-T). This milestone establishes OSIA as official ITU standard (ITU-T Recommendation) for the global infrastructure of information and communication technologies (ICT).

The specification that is now an ITU-T Recommendation is: ITU-T X.1281 – APIs for interoperability of identity management systems.
ITU-T is the standardization arm of ITU, the United Nations specialized agency for ICT. The Secure Identity Alliance specifications were approved as official ITU-T Recommendations by ITU members including 193 countries and the world’s front-running ICT companies on 1st March 2024. The new ITU-T Recommendation is under the responsibility of ITU’s standardization expert group for security, ITU-T Study Group 17.
“We are very proud that the OSIA specification is recognized as an international standard by ITU-T. This milestone demonstrates the maturity of OSIA and its potential to foster interoperability and promote fairness in the identity management systems market,” said Debora Comparin, Chair of the OSIA Initiative.
Prof. Heung Youl Youm, Chairman of ITU-T Study Group 17, said, “The recognition of the OSIA specification as an official ITU-T Recommendation underscores its critical contribution to the advancement of global ICT infrastructure. We are thrilled about the ongoing collaboration between ITU-T SG17 and the SIA, aimed at developing standards for secure identity management.”
“As Editor of the OSIA standard in the ITU-T Study Group 17 Q10, I am pleased to have contributed to this successful recommendation by the ITU,” said Abbie Barbir, Rapporteur for ITU-T’s working group on ‘Identity management and telebiometrics architecture and mechanisms’ (Q10/17). “The collaboration with the SIA continues on OSIA and other structuring initiatives and standards development.”
Engr Abisoye Coker-Odusote, CEO, National Identity Management Commission (NIMC), Nigeria & Chair of the OSIA Advisory Committee, said, “As the Chair of the OSIA Advisory Committee, comprised exclusively of government representatives, we take great pride in our five years of collaboration guiding the working group in the development of the OSIA specification. OSIA establishes equal marketplace conditions, fosters collaboration, and ensures product compatibility post-mergers and acquisitions. The OSIA standardized interfaces drive innovation, enabling new local market models and reducing fraud within multiple ID systems. Additionally, OSIA addresses integrator/vendor lock-in, allowing governments to maintain control over their identity systems and pursue national development agendas seamlessly.”
“The Secure Identity Alliance has always supported standards and its members have contributed to thousands of standards globally, which are now used in the ICT market. Standards are key to unlock the full power of Identity to enable people, economy and society to thrive,” concluded Didier Trutt, Chairman of the SIA.
X.1281 is at publication stage and can be accessed here: https://www.itu.int/ITU-T/workprog/wp_item.aspx?isn=18778
OSIA v6.1.0. twin specification can be accessed here: https://osia.readthedocs.io/en/v6.1.0/index.html 
OSIA qualification programme can be accessed here: https://globalplatform.org/osia-qualification-program/
For more information on the Secure Identity Alliance and the OSIA Initiative, visit http://www.secureidentityalliance.org and www.osia.io
For more information on ITU-T SG 17 visit https://www.itu.int/en/ITU-T/studygroups/2022-2024/17/Pages/default.aspx.
About the Secure Identity Alliance:
Secure Identity Alliance (SIA) is a global non-profit association that serves as the voice for public and private actors and organizations active in the secure identity ecosystem and adjacent industries. SIA’s mission is to unlock the full power of identity so that people, economy, and society thrive. The association supports the development of the activities of its members across four broad pillars: Identity for Good, Outreach, Open Standards Development and Industry Services and Solutions. www.secureidentityalliance.org
About OSIA:
A digital public good, OSIA is an open standard set of interfaces (APIs) that enables seamless connectivity between building blocks of the identity management ecosystem – independent of technology, solution architecture or vendor.  More information at www.osia.io
Follow the Secure Identity Alliance at on X @secureidentity1 and LinkedIn at https://www.linkedin.com/company/secure-identity-alliance/ 
About ITU-T SG 17
The ITU Telecommunication Standardization Sector (ITU-T) is one of the three Sectors (branches) of the International Telecommunication Union (ITU). It is responsible for coordinating standards for telecommunications and Information Communication Technology such as X.509 for cybersecurity, Y.3172 and Y.3173 for machine learning, and H.264/MPEG-4 AVC for video compression, between its Member States, Private Sector Members, and Academia Members.
Logo: https://mma.prnewswire.com/media/2394623/OSIA_Logo.jpg
 

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Artificial Intelligence

SciBase will present at the Redeye Medtech Event on April 24th

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STOCKHOLM, April 23, 2024 /PRNewswire/ — SciBase Holding AB (“SciBase”) (STO: SCIB), a leading developer of augmented intelligence-based solutions for skin disorders will participate at the Redeye Medtech event.

On April 24 at CET 9.50 CEO Pia Renaudin will present the latest developments in SciBase at Redeye. The presentation is live broadcasted and can be followed at https://www.redeye.se/events/974326/redeye-theme-medtech-2 where the replay and the presentations will be available afterwards.
For additional information, please contact:Pia Renaudin, VD, tel. +46732069802, e-mail: [email protected]
Certified Advisor (CA):Vator SecuritiesTel: +46 8 580 065 99Email: [email protected]
About SciBase:
SciBase is a global medical technology company, specializing in early detection and prevention in dermatology. SciBase develops and commercializes Nevisense, a unique point-of-care platform that combines AI (artificial intelligence) and advanced EIS technology to elevate diagnostic accuracy, ensuring proactive skin health management.
Our commitment is to minimize patient suffering, allowing clinicians to improve and save lives through timely detection and intervention and reduce healthcare costs.
Built on more than 20 years of research at Karolinska Institute in Stockholm, Sweden, SciBase is a leader in dermatological advancements.
The company has been on the Nasdaq First North Growth Market exchange since June 2, 2015. Learn more at www.scibase.com. All press releases and financial reports can be found here: http://investors.scibase.se/en/pressreleases
This information was brought to you by Cision http://news.cision.com
https://news.cision.com/scibase/r/scibase-will-present-at-the-redeye-medtech-event-on-april-24-th-,c3966053
The following files are available for download:
https://mb.cision.com/Main/12371/3966053/2751965.pdf
Redeye presentation
 

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