Our Blogs

Accessible content enables maximum user flexibility for all readers, with or without disabilities. For content to be accessible, the following elements must be included: The Web Content Accessibility Guidelines (WCAG). Read More

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

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

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

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

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

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

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

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

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

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

Data extraction is the first step in gaining business intelligence. The capability to extract data from multiple formats and diverse sources enables enterprises to obtain a 360-degree view of business. Read More

The ability of business executives to make informed decisions that can result in improved corporate performance, streamlined processes, and strengthened customer relationships is the value that data brings to organization. Read More

Contact centers need advanced technologies and methodologies such as data science to get actionable insights into their everyday operations to efficiently deliver excellent customer service. Data science has opened up.
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As Customer Experience (CX) leaders, we must understand how customers perceive our enterprise and service. In an increasingly digital world, it’s our responsibility to deliver digitally augmented experiences that engage. Read More