... AI-native business models are the next frontier in tech-driven growth. CIOs and other leaders of innovation must enable their organizations to define AI-native ambitions, assess current business models, and develop targeted plans to implement AI-native advancements — accelerating the realization of AI-driven ...
Analyst(s): Daniel Sun | Leinar Ramos | Rajesh Kandaswamy
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.
... demonstrate the business value of AI, as it is often indirect, nonfinancial, and long-term. Success requires shifting from IT metrics to business outcomes of AI. CIOs can learn how to tell AI value stories by drawing insights from success stories and identifying the value outcomes of AI. Insights at a Glance Issue ...
... The conversational AI platform market is evolving to include conversational AI applications and tools for complex automation and multimodal interactions. This note guides application leaders to learn from the implementation experience of their peers shared on Gartner Peer Insights. Overview Peer Lessons ...
... AI advances are enabling new biosecurity threats, with attackers potentially using AI to design harmful biological agents. CISOs must assess, control and respond to these risks, integrating biosecurity into cybersecurity strategies across all industries. Insights at a Glance Issue Context Impact Brief ...
... Access Insights Already a Gartner client? CHROs are exploring the risks and benefits of using AI to coach employees. These tools support HR in efficiently enhancing employee learning, performance management and succession pipelines. Historically, coaching was cost-prohibitive despite its impact on learning ...
... a Gartner client? AI escapes the digital realm through physical AI, which is constrained by limited real-world data and a lack of knowledge representation. To unlock its transformative enterprise value, AI leaders must streamline sensor and OT/IoT platforms, partner with physical AI data labs and adopt ...
Analyst(s): Ben Yan | Erick Brethenoux | Mike Fang | Tong Zhang
... Boards’ adoption of AI significantly lags behind enterprise use, undermining director oversight and executive trust. GC can use this research to integrate AI into their board’s operations, enabling strong board oversight and ensuring directors meet fiduciary duties. Insights at a Glance Issue Impact ...
... AI continues to expand throughout the software development life cycle and will become integral to every role and activity, including product management. AI empowers software engineers in product management roles to gain deeper user insights, enhance decision making and accelerate innovation. Overview ...
... CIOs and other leaders of innovation should empower their organizations to explore and adopt AI-native business models where appropriate, converting AI initiatives into tangible business value and sustainable growth. Insights at a Glance Strategic Planning Assumption Issue Context Impact Brief More Detail ...
Analyst(s): Leinar Ramos | Daniel Sun | Rajesh Kandaswamy