... 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. Overvie ...
Analyst(s): Jeff Smith
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... Augmented data quality, driven by AI, metadata and knowledge graph, is dominating the data quality market. Traditional data quality vendors face fierce competition due to outdated technologies. Data and analytics leaders should understand market trends and vendor landscapes to make the best choices. ...
... Data and analytics leaders are tasked with streamlining data operations, instilling agile data practices, ensuring trusted data delivery and connecting data initiatives to business outcomes. Use this research to implement optimized DataOps practices addressing these challenges. Gartner Research ...
... Data and analytics leaders must prepare themselves for the operating models of the cloud. This presentation provides essential background and guidance on cloud financial management, financial governance and FinOps. Gartner Research ...
... Augmented data quality solutions represent a fundamental shift in solving data quality issues through the application of active metadata, AI (e.g., NLP) and graph technologies. Data and analytics leaders can evaluate these solutions’ critical capabilities and common use cases in this research. Overvi ...
... Data-driven enterprises struggle with data distribution complexity, multicloud/hybrid data management and overworked teams. In response, data management solutions must support data fabrics leveraging automation, data mesh operating models, and cost optimization via DataOps and augmented FinOps. Scope ...
... Data and analytics leaders responsible for data management solutions must understand the implications of moving to a cloud DBMS. This research outlines key concepts such as cloud DBMS cost models and resource consumption fundamentals for maximizing value and making decisions effectively. Overview Gart ...
... Access Research Already a Gartner client? Failure to migrate to new quantum-safe cryptographic algorithms can leave application and data security at risk of compromise. Security and risk management leaders must anticipate “harvest now, decrypt later” attacks by preparing for a move to quantum-safe alt ...
Analyst(s): Sarah Almond | Matthew Brisse | Chirag Dekate | Mark Horvath
... Access Research Already a Gartner client? As the responsibility for application security is increasingly shared, security and risk management leaders question how to scale programs and foster collaboration with stakeholders. This research offers best practices to use threat modeling as a long-term ris ...
Analyst(s): Giles Williams | Mark Horvath | Dale Gardner | Manjunath Bhat