Key Takeaways: Data democratization is about empowering employees to access and understand the data that informs better business decisions. The rapid advancement of analytical capabilities, capacity,...

Key Takeaways By deploying technologies that can learn and improve over time, companies that embrace AI and machine learning can achieve significantly better results from their data quality...

Businesses around the world are facing major challenges due to higher manufacturing costs, disruptive new technologies like artificial intelligence (AI), and tougher global competition. This means...

In the evolving landscape of digital finance, the importance of robust cybersecurity measures cannot be overstated. The European Union’s Digital Operational Resilience Act (DORA) represents a...

Key Takeaways Data fabric and data mesh are modern data management architectures that allow organizations to more easily understand, create, and manage data for more timely, accurate, consistent, and...

Over the past century, how consumers engage with physical bank branches has changed. In today’s digital-first economy, allowing customers to interact through their preferred channel is...

Oracle’s recent decision to shut down its advertising business marks a significant shift in the ad tech landscape. This move, driven by declining revenues and increasing regulatory pressures,...

Data can be your organization’s most valuable asset, but only if it’s data you can trust. When companies work with data that is untrustworthy for any reason, it can result in incorrect...

Each of the following data mining techniques cater to a different business problem and provides a different insight. Knowing the type of business problem that you’re trying to solve will determine...