... The criticality, scalability and democratization of AI requires governance to balance the AI’s value with the new risks it poses. AI encompasses a continually evolving technological landscape in which there are trade-offs between scale, performance, explainability, accessibility, speed, skills and c ...
Analyst(s): Svetlana Sicular
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... Find out what 2400+ viewers joined to learn how to align AI governance with strategy, investment, risk, value, performance, and resources to drive responsible AI progress. The criticality, scalability and democratization of AI requires governance to balance the AI’s value with the new risks it poses ...
... The demand for AI-ready data is adding fresh impetus to investment in data quality improvement, although making the business case for this is notoriously challenging. This research helps data and analytics leaders plan for ongoing improvement and assurance in their data quality business case. Overview ...
Analyst(s): Saul Judah | Alan D. Duncan | Melody Chien
... CIOs are challenged to leverage data from digitalization programs owned by different stakeholders. This report, the first of two, sets the foundation for a data strategy in four steps that include data views and alignment, and the integration of IoT data into master data management. Gartner Research ...
... Securing sensitive data from threat actors has become more challenging with increasing data volume, evolving data protection laws and regulations and more data being moved to the cloud. CISOs and their teams can use these insights to secure their organizations’ data through classification. Gartner Recommended ...
... The EU Data Act will make it much easier for third parties to build applications that harness data from IoT-connected devices. This research advises product leaders how to leverage the regulatory implications of the EU Data Act. In short: the future is about data services instead of data trading. More ...
... contract data are frustrating, inefficient and costly. To address pressing provider data management problems, healthcare payer CIOs should assemble new provider data systems using a CRM hub. Analysis Healthcare Payers' Provider Data Gaps Drag Down IT Effectiveness Single-Purpose Provider Data Systems ...
... Modern software architecture often challenges alignment between software engineering and data teams. We'll explore the distinction between transactional data in services and nontransactional data in data lakes/fabrics, aiming for seamless integration and better collaboration Gartner Recommended Reading ...
... Enterprise-Level Data Strategy Principles Recommendations Boost the Awareness and Usability of Data From the Local Business or Clinical-Unit Level to an Organizationwide Level Recommendations Ensure Data Quality Over the Long Term by Recognizing and Administering the Organization’s Master Data Recommendations ...