Our Blogs

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

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

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

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

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

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

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 (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

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