Author Archives: Azaharuddin Mohammad

Motives behind Different Types of Data Annotations

Types of Data Annotations – The process of labeling data sets to make them machine-readable is data annotation. Data annotation or labeling is regarded as an indispensable adjutant to machine learning. Read More

Data Annotation, Crucial Success Factor for AI/ML

For enterprises, analyzing textual data from customer opinions on products aids in market analysis and prediction. Data annotation solutions are indispensable for accurately interpreting this information and driving strategic insights. Read More

Providing descriptive captions for images part 2

Accessible images enhance user experience, improve search, navigation, and provide richer audio experiences, benefiting all users and leveling the playing field for those with disabilities and diverse access needs effectively. Read More

Providing descriptive captions for images. How important is this for authors and publishers?

Each organization’s decision to manage its image description workflows is influenced by a variety of factors. It is however a universal truth that you will be closer to achieving fully. Read More

Making Real Progress towards the SDGs: What Publishers Can Do

The Sustainable Development Goal (SDGs) Publishers Compact is a non-binding pledge recognizing the publishing industry’s duty to contribute to a sustainable future by promoting responsible practices and advancing global sustainability. Read More

Upholding the Highest Standards of Quality, Trust, and Ethics to Maintain the Integrity of Published Literature

Making the data supporting a scientific truth claim available for peer review and post-publication study is a crucial component of scientific publishing as it enables method and reasoning to confirmed. Read More

Achieving Seamless Business Processes Using Data

Using a framework of basic schedules, milestones, task owners, emergent resource dependencies, and the like helps break down complex projects into manageable modules. Teams need reliable end-to-end visibility into resources. Read More

Lessons From Rebranding During A Pandemic

Rebranding often discards the existing company identity due to changes in focus, delivery models, and objectives. In my case, it was about building on a finely crafted legacy rather than. Read More

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

Data Intelligence Strategies in Publishing

Research topics evolve, funder and institutional mandates change, and researchers need different things from journals over time. When capacity allows, annual reviews of both data and the strategies built on. Read More

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