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June 25, 2019
AI requires expertise and collaboration—Read all about it
By: Dominic Delmolino

The self-learning nature of artificial intelligence (AI), machine learning and related technologies is truly a break from how we have developed and deployed solutions historically. This means we need to rethink many facets of how we use and employ these technologies. Within Accenture, we often speak to the need to do new and different things and do things differently with AI.

Fortunately, we have a world-class team of experts at Accenture helping federal clients address the full lifecycle of AI strategy, design, implementation and operations. Embracing an agile, collaborative approach, we frequently cocreate with clients to address the unique policy, management, technical and workforce aspects of AI adoption.

I recently had the chance to showcase the depth and breadth of our team in a series of blogs for GovLoop, the online community for government leaders. As a GovLoop Featured Contributor, I was able to coauthor a series of twelve blogs with our experts addressing the full gamut of AI topics—from AI ethics and training data to rapid prototyping and making bots a valued coworker. The process was amazing, as the experience, insight and passion that each of them bring to these diverse topics was incredible.

Written for those working in government to make AI a success, I encourage you to review our team’s work. Specific blogs are as follows:

You can also search under my name—“Delmolino”—within GovLoop to find all of our blogs. And please post a response to each blog to let us know what you think.

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