... governance practices to boost GenAI business value: Conduct regular assessments of AI systems: Leaders should implement assessment and monitoring processes, and deploy AI governance platforms to streamline assessment, auditing, and remediation. Provide customized guidance and training for AI users: Leaders ...
Get more from Gartner
Interested in receiving proven business and technology insights, analyst guidance, benchmarks, diagnostics and more? Connect with a Gartner representative to learn more about becoming a Gartner client.
... into gains at the team level or for frontline workers. This data indicates that L&D initiatives must be integrated into the technology investment process to ensure that full value is realized. “High-performing learning environments are emerging as strategic differentiators,” said Enright. “Leaders in ...
... on helping customers realize this value, rather than trying to drive value proposition utilization.” Customer feedback plays a crucial role in this process. By systematically capturing and sharing qualitative feedback from customers, organizations can illustrate the value realization journey, ensuring ...
... more than 500 B2B software buyers for our Digital Transformation Survey to gain insight into how the COVID-19 crisis has affected the software buying process. In fact, 72% of the businesses surveyed are either spending at the same rate or even accelerating their software purchasing, so create a plan to be ...
... utilizing third-party intent data to the fullest potential? Ensure quality and alignment of intent data, set data utilization methods and compare current processes against these best practices. Ensure quality and alignment of intent data B2B marketers are increasingly relying on intent data for more precise targeting ...
... According to the December 2025 Gartner survey, managers reported an average of four hours saved across different parts of the performance management process when using AI. However, without proper guardrails, using AI in performance management can open the organization up to risk. Organizations should treat ...
... of the use case, of every pattern, errors, outliers and unexpected emergence that is needed to train or run an AI model for a specific use. It’s a process and a practice based on availability of metadata to align, qualify and govern the data. How do we make all of our data ready for AI? There is no way ...
... reduce investment risk and deliver on your team’s performance. Use data and workflow tools, benchmark against industry leaders, ease the tech buying process and more. Reference Architecture Resource Center Get a headstart creating architectures and insights that guide adoption in your environment. AI Resource ...
... services leader who supports an enterprise through its AI journey can become a trusted advisor and gain a competitive advantage for the business in the process. Organizations are not yet reaping AI’s promised rewards Yes, 40% of enterprises say they have adopted AI, but that means 60% say they haven’t. In ...