Read more about author Doug Kimball. Knowledge graphs, while not as well-known as other data management offerings, are a proven dynamic and scalable solution for addressing enterprise data management requirements across several verticals. As a hub for data, metadata, and content, they provide a unified, consistent, and unambiguous view of data scattered across different systems. Using global knowledge as context for interpretation and a source for enrichment, they also optimize…

Read more about author Anastasios Arampatzis. There’s a unanimous consensus that data is the lifeblood of organizations. From customer records to intellectual property, the explosion of information creates tremendous value – and equally tremendous risk. The pace of cyberattacks accelerates relentlessly, with disastrous data breaches becoming a mainstay in news headlines and the associated costs skyrocketing. Current approaches to data security are woefully inadequate since they only partially address the evolving data…

Read more about author Pankaj Zanke. In the contemporary landscape of data-driven decision-making, enterprises are increasingly turning to predictive analytics to gain valuable insights into future trends and behaviors. Predictive analytics involves extracting patterns from historical data to forecast future outcomes, enabling organizations to make proactive decisions and optimize their operations. Traditionally, predictive analytics has been performed using standalone machine learning platforms, necessitating data extraction, preprocessing, modeling, and deployment pipelines.…

Read more about author Victor DeMarines. At some point in your life, you’ve probably joined a gym. In doing so, you had to decide what type of membership was right for your fitness goals and at the right price point for your budget. Maybe it was an all-access pass, billed monthly or annually, with unlimited use of the facility, including the weight machines, tennis courts, pool, and even fitness classes…