... Rapid growth in unstructured data is driving up costs, increasing compliance risks and exposure to security threats. Heads of I&O must address these challenges by deploying DSMS to gain data visibility, optimize infrastructure, enhance governance and data sovereignty, and protect critical information ...
Analyst(s): Rizvan Hussain | Michael Hoeck
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... Access Insights Already a Gartner client? Data marketplace solutions are increasingly important for D&A leaders looking to democratize their data and AI products across business domains for efficient data sharing and utilization. This research details the data marketplace solutions market and provides ...
Analyst(s): Robert Thanaraj | Ehtisham Zaidi | Richa Jha
... time, the business reason for developing data integrations, who built them, how they’re used and by whom gets lost. Mapping data integration pipelines to business processes is critical to understand the value that data integration contributes to the overall data operations of an organization. Insights ...
... to mature, maintain and scale those agentic capabilities. This research will help ensure AI initiatives are using the right principles, techniques, data, reference models, and governance, while taking into account the human implications to deliver value at scale. Insights at a Glance Strategic Planning ...
Analyst(s): Gilbert van der Heiden | Andrei Razvan Sachelarescu
... client? Data loss prevention is a mature market, but modern solutions are integrated into a broader cybersecurity control stack and go beyond traditional detection methods. Cybersecurity leaders should focus on DLP providers that enable user-centric, adaptive, risk-based and AI-enhanced data security ...
Analyst(s): Rahul Balakrishnan | Paulo Aresta | Andrew Bales | Jaimie Anderson
... •Implement AI FinOps practices to monitor, manage and forecast AI costs effectively •Establish governance, cost visibility and accountability for AI investments •Optimize AI consumption and improve cost predictability through proven cost-control strategies •Connect AI spending to business outcomes a ...
... security across the data life cycle rather than treating it as an add-on layer •How zero trust principles support a data-centric security approach •High-value use cases for AI-driven adaptive controls •Practical steps to build a more resilient security posture Reactive approaches to data security are proving ...
... guidance on evolving their existing data management practices to support AI readiness. We summarize some of the leading practices and steps that data management practitioners can take to integrate and extend their existing architecture and data foundation to deliver data management for AI. Insights at a ...
... AI-driven and autonomous workflows are transforming how work gets done but also introducing a raft of new data security challenges. The vendors in this report are driving the evolution of data security by addressing areas where traditional, static security controls are no longer sufficient. Insights ...
Analyst(s): Paulo Aresta | Joerg Fritsch | Niyati Daftary | Andrew Bales | Sarah Almond