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

Seamless Data Extraction Fuels Business Intelligence

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

Scholarly publishing is evolving into a data-driven industry

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

Enriching Customer Experience (CX) with Data Science-backed Customer Solution

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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Enhancing Customer Experience with Customer Interaction Data

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

Managing the Ever-Growing Commodities Data from Diverse Digitalized Sources

As digital transformation disrupts the commodity trading industry, market participants now access vast data across all sectors—energy, metals, industrial raw materials, and food. This data growth reshapes trading strategies. Read More