Market adoption of enterprise AI continues its torrid pace. Recent research from Informa TechTarget’s Enterprise Strategy Group found that 46% of large midmarket and enterprise organizations are at the maturity stage of scaling and optimizing AI solutions across their businesses.1
As enterprises continue to move forward with AI, practical matters have become more prominent, and nothing is of more concern for organizations than managing AI risk. Consider these insights from the Enterprise Strategy Group research:
37% of organizations said their biggest AI challenge is security and compliance.
37% of organizations said the most important attribute for an enterprise-ready AI solution is that it ensures AI governance, ethics, and responsibility.
When handling massive amounts of data, ensuring robust security measures is critical to protecting against breaches, data leaks, and cyberattacks that could compromise the integrity of AI models and erode trust. With evolving regulations around data privacy and AI ethics, organizations must ensure their AI aligns with current legal standards and industry-specific regulations to avoid penalties and maintain credibility. Organizations should prioritize vendors and partners that offer solution flexibility and guidance, as well as proactive support and ongoing education to ensure that the AI solution aligns with their specific needs and goals.
1. Source: Enterprise Strategy Group Research Report, Navigating Build-versus-buy Dynamics for Enterprise-ready AI, January 2025. All Enterprise Strategy Group references in this brief have been taken from this report.