Steps IT Leaders Can Take Now To Get AI Out Of 'pilot Purgatory' - AI Summary

This article was contributed by Steve Escaravage, senior VP and leader of Booz Allen's analytics practice and AI services business. But right now, too many AI applications are stuck in the lab at the conceptual stage, and too few reach deployments in the "field" (i.e., production environments with real workloads, users, and problems). An AIops framework should also include strong technical architecture and cybersecurity policies, feedback loop(s) for learning and improving, and a cross-functional, integrated team. The ability to achieve quick, incremental wins further generates buy-in, helping organizations move AI from siloed projects in the lab to full-scale operationalization across the enterprise and in the field. By strategically leveraging AIops through a comprehensive, proven framework, IT leaders can close the chasm between conceptual innovation and real-world deployment, helping the U.S. stay ahead in the global race for AI supremacy.