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Premium Research May 2025
... AI is widespread, with numerous interconnected AI systems contributing to business value and results. However, AI systems are susceptible to cognitive impairments. When these systems work together, such impairments can collectively lead to significant business failures. AI therapists are the solutio ...

Analyst(s):   DD Mishra
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Premium Research Oct 2025
... Employee productivity is not enough. If you want value from AI, you need to reengineer processes, change team structures, renegotiate contracts with providers or change insource/outsource labor mixes. But these pathways to value can vary greatly in effort. Join this session where you’ll learn about ...

Analyst(s):   Hung LeHong
Premium Research Oct 2025
... Data integration is essential for enterprisewide data initiatives, but the multitude of design options can be overwhelming. This research and its accompanying spreadsheet present technical professionals with a repeatable process to choose an appropriate data integration pattern for a given use case. ...

Analyst(s):   Andy Lee
Premium Research Sep 2025
... Data observability tools are essential to ensure reliable data pipelines across data ecosystems and support data and AI initiatives. This research offers D&A leaders best practices for boosting data readiness by using observability tools to monitor, diagnose, and resolve issues across the entire dat ...

Analyst(s):   Melody Chien
Premium Research Oct 2025
... Successful data and analytics governance requires engagement across technical and business functions. Technical professionals should use best practices to engage, partner with, and continually assess their level of engagement with business teams to overcome common stakeholder reluctance factors. Insi ...

Analyst(s):   Amy Bickel
Premium Research Aug 2025
... The instinct to anthropomorphize forges intimate connections between GenAI, agentic AI and its users. CIOs must look at how these human-machine relationships are changing how their employees work, make decisions and connect with AI if they want to gain value from these solutions. Learn how in this r ...

Analyst(s):   Mary Mesaglio
Premium Research Sep 2025
... Employee productivity is not enough. If you want value from AI, you need to reengineer processes, change team structures, renegotiate contracts with providers or change insource/outsource labor mixes. But these pathways to value can vary greatly in effort. You’ll learn about a practical framework, c ...

Analyst(s):   Hung LeHong
Premium Research Jun 2025
... Deploying data lakehouses, complemented by data fabrics and data ecosystems, can provide a cohesive and integrated experience, enhancing data interoperability and reusability. Data architects can utilize this approach to reduce the complexity and costs associated with implementation, management and ...

Analyst(s):   Ramke Ramakrishnan
Premium Research Sep 2025
... Lack of business resources contribute to ERP implementation failure. Application leaders should position this high-risk technology investment as a project to rebuild a strategic asset, driven by the top talent in the organization. Overview Strategic Planning Assumption Introduction Analysis Gartner Recom ...

Analyst(s):   Denis Torii   |   Neha Ralhan   |   Tomas Kienast
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