... one-size-fits-all data security policies outdated and ineffective, while simultaneously fueling the rise of shadow AI. DLP policies must adapt and extend to GenAI applications. Cybersecurity leaders reference this research to ensure DLP policies are relevant, managing AI-driven data use and maintaining ...
Analyst(s): Andrew Bales | Niyati Daftary | Paulo Aresta
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... Gartner client? Salesforce Informatica Intelligent Data Management Cloud is a popular choice of data management platform among Gartner clients. D&A leaders inquire about the effectiveness of the Salesforce platform for meeting their use cases such as data foundation, semantic enrichment, domain enablement ...
... Benchmarks for Data & Analytics in Banking, Finance and Insurance Prioritize your D&A activities and benchmark against your peers. The Gartner IT Score for Data & Analytics benchmarks the maturity level and importance of 25 activities across seven objectives that are top of mind for data and analytics ...
... Applying uniform data governance to every initiative slows down business value. D&A leaders must instead adapt to each initiative’s unique value, risks and context. Use this toolkit to assess your initiatives and determine the proportionate, dynamic governance they require. When to Use Directions for ...
... by both business value and technical feasibility Distinguishing quick wins from calculated risks to sequence your investments wisely Establishing the data, governance and integration foundations for scalable, reliable GenAI outcomes Our clients have access to a constant stream of timely insights; get your ...
... Access Insights Already a Gartner client? Data quality (DQ) solutions detect errors, standardize, enrich, transform and monitor data so that it can be trusted for business operations, decision making and support of AI deployments. The research helps D&A leaders understand these AI-enhanced DQ solutions ...
... Access Insights Already a Gartner client? Data archiving is becoming the control point for data that has left production but for which context, policy compliance and access must still be retained. As modernization and retention pressures grow, heads of I&O need archives that reduce live system burden ...
Analyst(s): Apurva Singh | Rizvan Hussain | Michael Hoeck
... adopting data products to solve one of the hardest problems in data, analytics and AI: delivering high‑quality, reusable, business‑ready data at scale. Yet most teams struggle to operationalize data products beyond isolated pilots. This toolkit provides a structured, technical framework that helps data architects ...
... Life science CIOs are challenged to select use cases for emerging technologies, such as generative AI, that are both mature enough to implement and important to business goals. Use this research to orient and benchmark your priorities against peers’ investments in key disruptive technologies. Overview ...