Oxford University Press’ 2024 Word of the Year, “brain rot,” is both funny and frightening. It captures what happens when we spend too much time swimming in trivial content — endless scrolling, ...

Despite years of experimentation, most organizations agree: Artificial intelligence hasn’t remade the enterprise or shattered ROI goals — yet. In fact, McKinsey found that only about 1% of respondents ...

The primary aim of data and analytics (D&A) governance, our research has taught us, is aligning data and analytic content with business objectives, including regulatory requirements and stakeholder ...

Building effective data pipelines is critical for organizations seeking to transform raw research data into actionable insights. Businesses rely on seamless, efficient, scalable pipelines for proper ...

Data governance has long been the backbone of responsible data management, ensuring that organizations maintain high standards in data quality, security, and compliance. According to Jonathan ...

In the previous article, we looked at two age-old problems facing the IT world. The first related to an issue that is well-recognized but rarely well-addressed, namely bridging the gap between the ...

Data governance is a framework of rules, processes, and practices that ensure the effective management and utilization of an organization’s data assets. It guarantees that data is free from errors and ...

The insurance industry is experiencing a digital revolution. As customer expectations evolve and new technologies emerge, insurers are under increasing pressure to undergo digital transformation.

Data is the supply chain for AI. For generative AI, even in fine-tuned, company-specific large language models, the data that is input into training data comes from a host of different sources. If the ...

Data quality issues continue to plague financial services organizations, resulting in costly fines, operational inefficiencies, and damage to reputations. Even industry leaders like Charles Schwab and ...

Running a business with dirty data is like trying to drive a car blindfolded — it’s only a matter of time before disaster strikes. Dirty data doesn’t just create inefficiencies, it drains resources at ...

IoT data management refers to the process of collecting, storing, processing, and analyzing the massive amounts of data generated by Internet of Things (IoT) devices. These devices, which can range ...