Artificial intelligence, machine learning, and big data analytics have increased the discussion around privacy. From our very beginning, privacy protections have been a fundamental component of Workday’s services. Today we are announcing that in addition to our ongoing compliance with privacy laws and regulations, Workday will follow three Privacy Principles that reflect our core values: put privacy first, innovate responsibly, and safeguard fairness and trust. Read on to learn more.
Artificial intelligence (AI), especially machine learning, promises to transform the enterprise as we know it. But just how close is AI to widespread adoption? Read this discussion about AI and machine learning with Workday's Joe Korngiebel and tech leaders from two U.K.-based companies, AstraZeneca and Global Radio.
Welcome to day two of the Workday Rising Daily. In this edition, we reveal all the news announced in Tuesday morning’s Innovation Keynote. We also provide recaps from sessions where finance leaders discussed challenges and opportunities facing their organizations, and a session where human resource leaders discussed the value of upskilling your workforce.
Almost all companies produce far more data than they can analyze, and for quite a while, Workday’s goal has been to help companies extract valuable insights. Today, we’re pleased to announce Workday People Analytics, a new application that will give executives, organization leaders, and HR business partners a view into the most critical trends in their workforce, and an understanding of the most likely drivers of those trends.
Many businesses are looking to the intelligent future with equal measures of excitement and trepidation. To help our customers navigate the evolving technology landscape, and gain a framework for their own intelligence strategies, we have developed a four-stage maturity model that outlines how Workday believes intelligence will impact the enterprise.
Predictive analytics is reinventing industries and changing our world. Eric Siegel, author of "Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die," shares how companies can turn data into actionable, contextual insights to make faster and more intelligent business decisions.
Applications that use machine learning (ML) can make predictions that help inform better decisions. Here's our six key principles for responsibly integrating ML.
Workday is excited to announce that we are taking another step forward in our analytics journey with the acquisition of Stories.bi, one of the most innovative players in the augmented analytics space.