DataRobot Blog

By leveraging prediction and augmented decision-making, governments can address the needs of taxpayers proactively while quickly adapting to evolving circumstances. Over the course of this blog series, we will address five critical ways that AI can help your state solve its hardest problems—beginning with the most immediate need facing states and localities today: crisis response. 

Humans and AI: Bargaining Power. Read more in Colin Priest's blog post and learn how will the need for control affect the success of digital transformation and organizational change.

At DataRobot, our engineers and data scientists are thinking about how to harness the power of AI and ML to reduce our carbon footprint, detect where unintended energy emissions may occur, predict anomalous and dangerous weather, and ensure we always have enough energy to meet our needs.

With such a large organization as the Army, Kristin understands the democratization of AI is essential. Speaking on her own behalf, and not on behalf of the Army, she shared many insights.

Recent estimates by leading industry analysts show that the cybersecurity workforce gap is approximately 850,000 in the United States and over 3 million globally. At DataRobot, we seek to shrink the cybersecurity skills gap by using Augmented Intelligence and Machine Learning to decrease employee decision cycles and shorten the time to respond.

Trust in AI must be earned. Ideally, business users or consumers that interact with a model and its output displayed in a dashboard should not need to question its authenticity. Unfortunately, we aren’t there yet, and it’s because there are different components to trust, some we have yet to address.

Learn more about a two-step process to maintain proper AI governance and identify, understand, test for, and mitigate potentially harmful behaviors.

In order for AI projects to be fully embraced, companies must address these concerns, because people need to trust their AI in order for projects to be successful. In this installment of our blog post series, we will explore the question of why trust is an essential component to any conversation around AI.