During a global survey among content marketers, ** percent of respondents stated that they took less than ******* to produce content per week when using artificial intelligence (AI) tools. Another ** percent of content marketers spent *** to ***** hours when doing the same.

The adoption rate of artificial intelligence (AI) is expected to gain considerable importance in product development companies worldwide between 2022 and 2025. Currently, companies operating in that sector were mostly, or ** percent, reporting limited adoption of AI in their production cycles. Technology executives expected this to change considerably by 2025.

The statistic shows the value of artificial intelligence (AI) investment deals in industrial production sector in China from 2012 to May 2019. From January to May 2019, there was 0.39 billion worth of AI investment deals in industrial production in China.

Use of artificial intelligence (AI) by businesses and organizations in producing goods or delivering services over the last 12 months, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.

As of May 2024, ** percent of U.S. consumers stated in a survey to be comfortable with AI being used for sound effects in movies or TV series they watch, making this the most acceptable aspect of the production with the use of AI. Meanwhile, over **** of respondents were not comfortable with AI being used for a digital replica of a deceased or a living human actor.

Changes made by business or organization when using artificial intelligence (AI) to produce goods or deliver services, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.

Statistics and insights on automation trends in US manufacturing, based on a survey of 85,975 leaders.

According to data gathered in the United States in April 2024, Generation Z is much more open to AI being used in the production of music. Nearly **** of the Gen Z respondents stated that they would be interested in listening to music that has been produced with the help of AI. Older generations seem more hesitant towards this topic, as only ** percent stated the same.

Industrial Production Statistical Analysis Software Market Analysis The global industrial production statistical analysis software market is projected to grow from USD 5191 million in 2025 to USD 9865 million by 2033 at a CAGR of 8.6% during the forecast period (2025-2033). The industry is driven by increasing demand for data-driven decision-making, advancements in data analytics technologies, and growing adoption of Industry 4.0 and automation in manufacturing and production processes. Key market trends include the rising popularity of cloud-based and mobile analytics solutions, the integration of artificial intelligence (AI) and machine learning (ML) algorithms into statistical analysis software, and the growing demand for customized and industry-specific solutions. The application segment of the market comprising architecture, mechanical, automobile, and other industries is expected to dominate the market due to the widespread use of statistical analysis in product design, process optimization, and quality control. Leading companies in the market include Bentley Systems Europe B.V., IBM, Autodesk, Siemens EDA, and Dassault Systèmes, which offer a wide range of statistical analysis software solutions for various industries.

Objective: Biomechanical Machine Learning (ML) models, particularly deep-learning models, demonstrate the best performance when trained using extensive datasets. However, biomechanical data are frequently limited due to diverse challenges. Effective methods for augmenting data in developing ML models, specifically in the human posture domain, are scarce. Therefore, this study explored the feasibility of leveraging generative artificial intelligence (AI) to produce realistic synthetic posture data by utilizing three-dimensional posture data.Methods: Data were collected from 338 subjects through surface topography. A Variational Autoencoder (VAE) architecture was employed to generate and evaluate synthetic posture data, examining its distinguishability from real data by domain experts, ML classifiers, and Statistical Parametric Mapping (SPM). The benefits of incorporating augmented posture data into the learning process were exemplified by a deep autoencoder (AE) for automated feature representation.Results: Our findings highlight the challenge of differentiating synthetic data from real data for both experts and ML classifiers, underscoring the quality of synthetic data. This observation was also confirmed by SPM. By integrating synthetic data into AE training, the reconstruction error can be reduced compared to using only real data samples. Moreover, this study demonstrates the potential for reduced latent dimensions, while maintaining a reconstruction accuracy comparable to AEs trained exclusively on real data samples.Conclusion: This study emphasizes the prospects of harnessing generative AI to enhance ML tasks in the biomechanics domain.

AI in Film Market is estimated to reach USD 14.1 billion By 2033, Riding on a Strong 25.7% CAGR throughout the forecast period.

The Artificial Intelligence (AI) in Semiconductor Manufacturing market is experiencing significant transformation, driven by the need for higher efficiency and advanced capabilities in semiconductor production. As an integral component of the global technology landscape, semiconductors play a vital role in powering

The AI Content Generators for Writing market has rapidly evolved as a transformative force in the content production landscape, revolutionizing the way businesses and content creators approach writing. Defined as software tools that utilize artificial intelligence to produce textual content, AI content generators pr

The Artificial Intelligence (AI) segment in the manufacturing market is rapidly transforming how industries operate, offering unprecedented solutions to enhance efficiency, reduce costs, and improve overall production quality. As manufacturers increasingly adopt AI technologies, they are witnessing a significant shi

Get statistical data on harvested area, marketed production, average price, farm value and average yield for cucumber in Ontario. Statistical data are compiled to serve as a source of agriculture and food statistics for the province of Ontario. Data are prepared primarily by Statistics and Economics staff of the Ministry of Agriculture, Food and Rural Affairs, in co-operation with the Agriculture Division of Statistics Canada and various government departments and farm marketing boards.

Get statistical data on harvested area, marketed production, average price, farm value and average yield for celery in Ontario.

Statistical data are compiled to serve as a source of agriculture and food statistics for the province of Ontario. Data are prepared primarily by Statistics and Economics staff of the Ministry of Agriculture, Food and Rural Affairs, in co-operation with the Agriculture Division of Statistics Canada and various government departments and farm marketing boards.

The AI in Food and Beverage Market Report is Segmented by Component (Hardware, Software, and Services), Technology (Machine Learning, Computer Vision, Natural Language Processing, and Robotics and Automation), Application (Food Sorting and Grading, Quality Control and Safety Compliance, Production and Packaging Optimization, and More), by End User ( Food Processing Manufacturers, Beverage Manufacturers, and More), and by Geography.

Get the production, price and farm value of apples in the province from 1994-2005.

Statistical data on marketed apple production, grower price and average marketing costs, by variety of apple.

The Manufactural Artificial Intelligence market is rapidly evolving, standing at the intersection of technology and production efficiency. As manufacturing becomes increasingly digitized, AI technologies such as machine learning, robotics, and data analytics are playing pivotal roles in transforming operations. Thes

The AI Unmanned Live Broadcast System market is experiencing transformative growth as advancements in artificial intelligence and autonomous technologies revolutionize how live events are produced and streamed. These sophisticated systems leverage AI algorithms to automate video production, enabling users to broadca