Garbage training data in, garbage model out. Here are four things to address to solve data quality problems. Machine learning (ML) and other forms of
Relationships between businesses and their data are transforming. By embracing an end-to-end mindset, organizations will be able to transform data into business value to a
… Las cuentas regresivas hacia los Mundiales tienen pliegues no siempre visibles para los fanáticos del fútbol. Se trata de elementos que marcan el punto
From Descriptive to Autonomous Analytics Digital Transformation is about creating an organization that continuously explores, learns, adapts, and re-learns. Wash, rinse, repeat. Every customer engagement
Why It Matters The right CDO can help firms reap the benefits of data-informed decision-making. Here’s what your data chief should do for your organization.
A beginner’s guide to implementing the latest industry trend: a data mesh. Ask anyone in the data industry what’s hot these days and chances are
A deeper look into just how automation adds value at each of the phases of the data lifecycle and how automation at this level impacts
Finding the right data science tools is paramount if your team is to discover business insight. Here are five things to look for when you
Why It Matters The gap is widening between data leaders and data laggards. From external data to customer experience analytics, this is what leaders are
Creating a successful machine learning model is extremely difficult and expensive. Providing the model as a service to other businesses may recoup part of the
