Ten Keys to AI Success in 2020: Insights from Industry Leaders
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. This report shares their experience and knowledge, such as:
How executive leadership influences AI initiatives
The importance of early adoption for your organization’s AI success
How data quality issues affect an organization’s ability to spin up AI projects
How business and analytics processes need to merge to achieve success with AI
Why organizations need to relentlessly measure the ROI of their AI initiatives
How business leaders are transforming teams to become AI-driven
DataRobot justifies its place by providing value and returning significant ROI immediately.
I’ve never had so much ease explaining the inner workings of my models as I do with DataRobot.
We want to be truly customer-focused with all our 16 million customers, and to do that we need to be able to predict the potential behavior of each of them to put the right offer in front of them at the right time. There's no way we can be as customer-focused as we would like without the help of machine learning.
DataRobot gives you all the tools you need. It will democratize machine learning across the whole business.
Analytics is far too important to be left to the analyst. With these sorts of tools, we can have the whole business being more data-driven, because the power to build really great models lies in many more hands.
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