Model drift refers to the phenomenon that occurs when the performance of a machine learning model degrades with time. This happens for various reasons, including data distribution changes, changes in the goals or objectives of the model, or changes to the environment in which the model is operating. There are two main types of model drift that […]
How Digital Twins Can Optimize Supply Chain Planning and Efficiency
From the ongoing backlog at Southern California’s ports to the national shortages totaling more than 80,000 truck drivers, the COVID-19 pandemic has created myriad supply-chain challenges. With all of the changes and increased variables influencing the supply chain today, companies need a stronger understanding of various scenarios, and how those scenarios can impact a shipment at any […]
Why Reusable Data Cores Are Key to Future-Proofing Enterprises
Click here to learn more about author Sri Raghavan. The enterprise of the future is built on data. Today’s business leaders generally understand that data is critical to rapidly increasing revenue and profitability. Yet most businesses still treat data as a siloed commodity and manage it poorly, leaving many employees unable to access important data […]
The Second Pillar of Trusted AI: Operations
There are three pillars of trusted AI: performance, operations, and ethics. Performance includes Data Quality, model accuracy, and speed. In this article, we will look at our second pillar of trust, operations.
Case Study: Cox Automotive Solves Data Drift and ETL Challenges
According to Pat Patterson, Community Champion at StreamSets, “data drift” is such a problem now that “only about one fifth of a data analyst’s time is actually spent analyzing the data.” The remainder is spent “wrangling it into shape and getting it from where it is to the actual analysis platform.” Speaking at the Enterprise […]
StreamSets Debuts First Solution to Discover, Secure and Govern Personal Data in Motion
by Angela Guess According to a recent press release, “StreamSets Inc., provider of the industry’s only enterprise DataOps platform, announced today immediate availability of the industry’s first solution to discover, secure and govern personal identifiable information (PII) while “in flight” — as it arrives from a batch or streaming data source or moves between compute […]