The process of correctly labeling the datasets in order to train the Artificial Intelligence (AI) and Machine Learning (ML) algorithms to identify the data and provide the most accurate results. Read More
Generative AI
When ESG Meets Alternative Data
Greenwashing, the deliberate practice of making a company appear more sustainable (or green) than it really is, is a public relations and moralized corporate marketing exercise to appease conscientious investors. Read More
Detecting Image Manipulation In Academic Publications
Image manipulation involves altering the appearance of a picture-format image to achieve a specific result. This process can include adjustments to colors, shapes, and details to meet particular objectives preferences. Read More
Ensuring ESG integrity with an AI/ML-enabled Systems
Tackling greenwashing requires a vigilant, automated system that integrates multiple data sources and formats. This approach effectively tracks and reports suspicious claims, ensuring transparency and authenticity in environmental sustainability practices. Read More
Data Challenges in the AI-ML Journey
The adoption of artificial intelligence and machine learning (AI/ML) has accelerated thanks to cost-effective, near-limitless data storage and computing power provided by cloud services, enabling rapid advancements and scalability. Read More
Driving Better Engagement with Automated & Advanced Customer Support
Through Intelligent Automation, we at Straive provide a seamless customer journey and experience with advanced, blended support solutions, enhancing overall efficiency and satisfaction across all customer interactions and service touchpoints. Read More
Intelligent Document Processing – Industry-Wide Document Processing Solution
Intelligent document processing, as an Intelligent Automation (IA), has proved to be an integral part of the digital transformation by introducing technologies such as Artificial Intelligence (AI), Machine Learning (ML). Read More
Leveraging technology to improve the peer review process
In the last two decades, two new peer review forms have emerged: post-publication review, evaluating manuscripts after publication, and registered reports, examining studies thoroughly before they are submitted to journals.
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AI can help address demand for high-quality, unbiased peer-review
The potential of Artificial Intelligence (AI) to boost productivity and reduce reviewer burden has attracted much interest. AI is increasingly being used to assist in the evaluation as of papers. Read More
Digital technologies will define the future of Publishing
The scholarly publishing industry has undergone significant changes over the last few decades, and with the pandemic outbreak, it became significant for the scholarly communication sector to understand and responds. Read More