Implementing AI seems straightforward. Rolling out AI use cases that deliver real business results at scale – not so much. While executive sponsorship is key to rolling out AI across the organization, it falls upon data and analytics leaders to involve stakeholders early in the planning process, understand why initiatives could be struggling to gain traction, and immediately take action to remove any barriers to adoption.
In the report, Organizational Best Practices for Successful AI and ML Initiatives, we believe, Gartner provides pragmatic advice for helping data and analytics leaders achieve better business outcomes with AI.
Read the Gartner report and get sound advice for:
- Developing multidisciplinary collaboration across data science, analytics teams and IT
- Building and creating trust and transparency around AI
- Prioritizing AI that can deliver impact to your business
- Fostering AI experimentation and iteration across teams
- Enabling rapid machine learning operationalization and business usage
Discover how to break down organizational silos to deliver AI at scale in this Gartner report.
Gartner Organizational Best Practices for Successful AI and ML Initiatives, Farhan Choudhary, Arun Chandrasekaran, Pieter den Hamer, 17 February 2020. Gartner is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and is used herein with permission. All rights reserved.
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