... to AI. Leaders must balance and align D&A and AI efforts. This Hype Cycle guides CIOs and tech leaders to assess innovations and prepare for AI-ready data. Strategic Planning Assumption Analysis Definition: Why This Is Important Business Impact Drivers Obstacles User Recommendations Sample Vendors Gartner ...
Analyst(s): Nate Novosel | Kameron Chao
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... Insights Already a Gartner client? AI has accelerated the imperative for data governance efforts to succeed. In the quest for trust in data and trust in its use, D&A leaders must rebrand data governance as a team sport and embed both data governance and cultural change management into business workflows as ...
... Access Insights Already a Gartner client? The customer data platform market is bifurcating into platformization and agentification. Buyers should assess their needs for orchestration or autonomy, prioritize warehouse-native and composable architectures, evaluate cost-to-value and invest in agentic AI ...
Analyst(s): Lizzy Foo Kune | Suzanne White | Rachel Dooley | Benjamin Bloom | Audrey Brosnan
... GenAI’s widespread use amplifies risks to sensitive data. Blocking GenAI is often ineffective and reduces productivity. Security architects must leverage GenAI adoption to accelerate data security, monitor GenAI use, protect sensitive data, and use DLP. Overview Analysis Guidance Gartner Recommended ...
... having more threat data is beneficial, an unfiltered excess of it can overwhelm security teams, leading to a lack of context, misaligned priorities, and stalled threat response that weakens security programs. Chief information security officers must employ a strategy for collecting data sources tailored ...
... AI-driven data risk is outpacing traditional data governance, forcing CDAOs to proactively prioritize and manage risk to prevent otherwise unexplainable failures. CDAOs must move beyond reactive fixes to intentional risk management that unifies data security requirements with business information needs ...
... session of Gartner’s top D&A predictions for 2026 will guide data and analytics leaders as they plan for the impact of AI across all aspects of data and analytics, including leadership, governance, talent, market, and the need for AI-ready data and a FinAI competency for value realization. Overview Gartner ...
... AI-powered capabilities are revolutionizing data integration tools in support of urgent data and AI use cases by enabling higher-quality outcomes with fewer resources. Augmentation, automation, and optimization drive efficiency, agility, and better decision making for competitive advantage. Insights ...
... Healthcare and life science CIOs need insights into the maturity and adoption of innovations, and how to identify their relevance to solving business problems and exploiting new opportunities. CIOs should leverage Gartner Hype Cycles to develop and refine their technology strategy. Analysis Research ...
Analyst(s): Healthcare and Life Sciences Research Team