Generative AI

Data Annotation, Imperative to Drive Excellence

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

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

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