Finance teams are taking on new challenges and responsibilities in light of the uncertain economic climate that surfaced in the wake of the global pandemic, supply chain disruptions, price inflation, and the wholesale workforce exodus known as the “Great Resignation.” Now more than ever, organizational leadership is looking to the Office of the CFO to be a strategic partner in building an overall business strategy.
Cloudera Machine Learning (CML) is a cloud-native and hybrid-friendly machine learning platform. It unifies self-service data science and data engineering in a single, portable service as part of an enterprise data cloud for multi-function analytics on data anywhere. CML empowers organizations to build and deploy machine learning and AI capabilities for business at scale, efficiently and securely, anywhere they want.
Data can deliver value informationally or operationally, and the difference is key to understanding your team’s output.
Machine learning is used across industries and user communities for a wide variety of predictive analytics needs – use cases ranging from sales forecasting to churn reduction, customer lifetime value, inventory optimization, capital allocation and more.
Summary: Sometimes the insight you’re shown isn’t the one you were expecting. Unravel DataOps observability provides the right, and actionable, insights to unlock the full value and potential of your Spark application. One of the key features of Unravel is our automated insights. This is the feature where Unravel analyzes the finished Spark job and then presents its findings to the user. Sometimes those findings can be layered and not exactly what you expect.
