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... Gartner client? Product leaders must address regulatory alignment and mission coherence risks to avoid costly R&D failures. By leveraging generative AI and decentralized partnerships in friend-shored regions they can navigate regulatory hurdles and unlock significant growth in the autonomous drone market ...
... All AI discussions should start with the question: “What is the cost of an error”? Answering this question leads to an acceptable frequency of errors in the application, which in turn clarifies the reliability requirements and value needed to justify investments and risks. Insights at a Glance Issue ...
... Generative AI has supercharged scammers’ ability to target banking customers. CIOs need to empower themselves and their stakeholders with ways they can use their existing capabilities, infrastructure and technologies to protect customers from industrialized scams, and create new value for the bank. ...
Analyst(s): Jonathan Jackson | Uri Lerner | Vatsal Sharma
... Insights Already a Gartner client? Healthcare and life science (HCLS) organizations are faced with data complexities previously unseen, from delivering AI at scale to meeting new ecosystem data-sharing capabilities. This research helps CIOs understand how health data management platforms bring clarity and ...
... Access Insights Already a Gartner client? Recent AI product releases from Anthropic and OpenAI mark the beginning of a fundamental transformation of how enterprise software creates value. This research describes where competitive advantage consolidates in this new environment and the market sectors that ...
... By 2030, CSPs face further commoditization of their assets and products, unless they become AI-native. But, the precise environment they will find themselves in is uncertain. CSP product leaders must plan for four possible future scenarios to ensure they thrive in whichever one emerges. Insights at a ...
... Access Insights Already a Gartner client? Life sciences CSCOs struggle to achieve results from AI investments as supply chain use cases are still emerging and vendor claims often conflict. This research highlights proven industry examples and offers recommendations to design practical projects with tangible ...