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Ten Keys to AI Success in 2020 DataRobot

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According to a recent PwC report, AI could contribute up to $15.7 trillion to the global economy by 2030. With companies around the world adopting AI at a rapid pace, we polled over 170 global enterprise customers to collect their feedback on the challenges and successes they've had with AI. We gathered our findings into one report, Ten Keys to AI Success in 2020: Insights from Industry Leaders, where executives share their experience and knowledge.


The State of AI Bias in 2019 DataRobot

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We know part of the science and the heavy lifting are intrinsic to the DataRobot technology. Prior to working with DataRobot, the modeling process was more hands-on. Now, the platform has optimized and automated many of the steps, while still leaving us in full control. Without DataRobot, we would need to add two full-time staffers to replace what DataRobot delivers.


See DataRobot in Action

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In 2020, artificial intelligence has evolved from a cool science project to a mainstream enterprise tool that is essential for business success. But in these turbulent times, AI success now requires enterprise-quality governance, agility, reliability, scalability, and justifiable ROI. DataRobot automates the entire end-to-end process of preparing, building, and deploying highly accurate models to power your modern AI systems. Our automated machine learning platform will build AI that you can trust in a matter of minutes instead of months. Join us for a 45-minute live demonstration of the world's most advanced machine learning solution to see enterprise AI in action.


Join Us: Machine Learning & Artificial Intelligence For The Federal Government DataRobot

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November 21, 2019 Artificial intelligence (AI) is emerging as the prize in an increasingly competitive geopolitical environment, with American rivals investing in AI to shift the military, political, and economic balance of power against the U.S. Leveraging AI can help make the government more efficient, spurring economic growth, and transforming education for future generations. Yet agency leaders still search for where to begin within their own departments. What projects will be the most impactful? What can be done to train the existing workforce to leverage the power of AI? What to expect: You will leave this course able to identify top AI opportunities, with an understanding of key AI success factors, and with a clearly defined project ready for your team to execute. Who should attend: Agency leaders seeking to initiate or improve the performance of machine learning initiatives and AI projects for their agency or department.


Machine learning can be made more accessible to everyone thanks to DataRobot's no-code …

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To help fill the shortfall in data scientists and machine learning engineers, a new sector called no-code AI has emerged, which enables enterprises …