Time is Money, they say. And when you waste time on onerous menial tasks instead of improvements, you aren’t spending your time, or money, wisely. When it comes to planning and analysis, the role of financial professionals is to provide insights that helps shape the direction of the entire organization. However, many financial professionals feel that they spend too much time trying to find and connect data, rather than focusing on strategic insights.

When businesses begin applying machine learning (ML) workflows to their use cases, it’s typically a manual and iterative process—each step in the ML workflow is executed until a suitably trained ML model is deployed to production.

I don’t think anyone could argue that the last two years have changed the workplace forever. Entire nations have been confined to their homes during months of lockdowns, and the way we conduct business and interact with each other has passed a point of no return.

Data is the true currency of the digital age, and it plays an indispensable role in defining and accelerating the mission of Government agencies. Every level of government is awash in data (both structured and unstructured) that is perpetually in motion. It is constantly generated – and always growing in volume – by an ever-growing range of sources, from IoT sensors and other connected devices at the edge to web and social media to video and more.