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
Our Blogs
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
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
Delivering Integrity in Peer Review Support
Peer review is crucial to the research publication process, maintaining and protecting content integrity. This practice, essential for ensuring quality, dates back long before the digital transformation of publishing content. 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
Why Capital Markets Are Witnessing Comprehensive Data Strategies
Capital markets exemplify perfect competition, requiring participants to be highly competitive and result-focused. Brokerages and investment banks, for instance, must deliver consistent returns and passive gains to their clients efficiently. Read More
Artificial intelligence Systems in Commodities Trading–The Game Changer
Artificial intelligence (AI) systems are machine-based, with varying autonomy levels. They make predictions, recommendations, or decisions based on human-defined objectives, adapting their actions to achieve these specific, predetermined goals effectively. 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
Why Alternative Data is the Future of Investment Analytics
Traditional financial and company data like company earnings reports are released at times. It lacks a real-time connect. But alternative data offers a quasi-real-time view of market sentiments through routes. Read More
Increasing awareness and uptake of the practice of transferring scholarly manuscripts
Many publishers now route rejected articles to comparable journals within their field to reduce costs and improve efficiencies, avoiding redundant peer-review processes and streamlining the submission and review workflow efficiently.
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