... Access Insights Already a Gartner client? Governments continue to expand cybersecurity regulations that impact the objectives of organizations operating in the EU. Cybersecurity leaders must navigate overlapping compliance requirements, harmonize their approaches to risk management, and maintain defen ...
Analyst(s): Josh Murphy
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... Access Research Already a Gartner client? In a rapidly evolving market, why do some companies scale effortlessly while others struggle to grow? This research explores how high-growth and low-growth companies differ in their technology ambitions, investment strategies and innovation priorities, reveali ...
... Heads of ERM can follow four time-saving steps to frame prompts effectively and then guide, ask and refine a large language model to provide constructive feedback on the actionability and consumability of their risk reports. Contributors Gartner Recommended Reading Gartner Research ...
... Organizations should engage IT vendor managers early in GenAI sourcing initiatives, as their vendor and contract management skills are essential for proactive risk mitigation. Leaders can use this research to identify and address GenAI business risks during sourcing. Overview Strategic Planning Assump ...
Analyst(s): Justin Galentine | Jan Cook | Joanne Spencer
... This assessment prioritizes the most prominent GenAI use cases in consumer goods (CG) against value and feasibility. CG CIOs can use this to initiate and guide discussions on investment in GenAI to accelerate their organization’s competitive advantage. Overview How to Use Use-Case Scoring Breakdown Gart ...
... Traditional modeling approaches are no longer sufficient to capture the complex relationships needed for advanced predictive models. Data and analytics leaders should integrate graph analytics, graph-based features, and graph machine learning into their workflows for higher levels of accuracy. Overvi ...
... This toolkit provides a template for policy engine technical controls that need to be implemented at each phase of the life cycle of (1) traditional machine learning, (ML) models, (2) RAG frameworks, (3) fine-tuning LLMs, and (4) agents. When to Use Directions for Use Gartner Recommended Reading Gartner ...
... What will software engineering be like in 2030? Gartner has analyzed the upcoming transformations and prepared this presentation deck to guide software engineering leaders into the future. Gartner Recommended Reading Gartner Research ...
Analyst(s): Manjunath Bhat | Akriti Kapoor | Mark O'Neill