... innovating at a frenetic pace, opportunities abound for designing and delivering impactful features. Product managers at ISVs can boost GenAI and agentic AI adoption by embedding content creation, content consumption and tech creation capabilities in their offerings. Overview Strategic Planning Assumption ...
Analyst(s): Radu Miclaus | Jim Hare
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... Expectations are high for AI and GenAI’s promise to transform healthcare delivery and achieve the goal of intelligent health. This research helps healthcare provider CIOs refine their organizations’ enterprise architecture practice to enable new capabilities while promoting future adaptability. Overview ...
... Rumors of the demise of software engineers are greatly exaggerated, despite generative AI’s early promise. By understanding AI’s impact in this domain, executive leaders can develop a more grounded perspective on how it will transform work across their organization. Gartner Recommended Reading Gartner ...
... Gartner predicts that CG companies will leverage AI and GenAI with other technologies, such as IoT and digital twins, to profitably transform themselves. CG CIOs must prioritize digital investments to scale personalized products and improve customer experiences for margin and revenue growth. Overview ...
Analyst(s): Ellen Eichhorn | Michelle DeClue | Sohard Aggarwal
... Access Research Already a Gartner client? As leaders progress toward implementing generative AI use cases, they face critical questions about regulations, funding, talent and deployment approaches. Investment services CIOs can use this research to learn how functional leaders are planning to address ...
... With the software engineering leader role changing due to generative AI, how can you demonstrate a vision that reinforces the value of your role to your team, peers, and management? This video equips you with the strategy, data, and actions to deliver a leadership vision focused on value creation. Gartner ...
... Customers are using AI agents for purchases, and these agents are using new interfaces and channels that make technologies such as on-site search and shopping carts less relevant. Digital commerce leaders can use this research to learn how to adapt digital commerce to better serve customers’ agents. ...
... Despite market expectations, the productivity impact of AI code assistants is inherently limited, because developers spend the majority of their time on tasks other than coding. Product leaders can drive impact with tools that address the full scope of the software development life cycle. Overview Strategic ...
Analyst(s): Haritha Khandabattu | Ray Valdes | Manjunath Bhat | Philip Walsh