ModelOps — AI Model Operationalization for the Enterprise
We’re seeing a growing number of large enterprises working to scale up their use of machine learning algorithms (statistical models) over the past few years.
We’re seeing a growing number of large enterprises working to scale up their use of machine learning algorithms (statistical models) over the past few years.
During transfer learning, the knowledge leveraged and rapid progress from a source task is used to improve the learning and development to a new target
No-code, low-code (horizontal) machine learning platforms are useful at scaling data science in an enterprise. Still, as many organizations are now finding out, there are
Enterprise machine learning deployments are limited by two consequences of outdated data management practices widely used today. The first is the protracted time-to-insight that stems
Enterprise machine learning deployments are limited by two consequences of outdated data management practices widely used today. The first is the protracted time-to-insight that stems
With data scientists regularly topping the charts as one of the most in-demand roles globally, many organizations are increasingly turning to non-traditional employees to help
We know that predictive models developed by artificial-intelligence (AI) and machine-learning (ML) algorithms are based on data. And, because we know how this data is
Technology startups have immense pressure to embrace machine learning and AI in order to stay relevant in their business. Machine learning, if implemented well, can
Digital transformation is now an increasingly default position for C-suite leadership rather than the sole preserve of an enlightened few as it used to be.
As the number of industries integrating artificial intelligence (AI) into their operations continues to grow, more organizations are scrutinizing their AI system design workflows, including
Datasets are essential to AI models. They provide the truth by which we train AI models and measure a model’s success. Engineers often look to
A well-designed data model is the cornerstone of BI and analytics applications that deliver business value by transforming enterprise data into a useful information asset.