... leaders should treat data and AI product delivery as a strategic enterprise capability. Organizations that institutionalize disciplined prioritization, tailored delivery paths and accountability, and scalable delivery practices are better-positioned to turn data and AI investments into measurable value ...
Analyst(s): Richa Jha | Dalia Naguib | Soyeb Barot
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... platform built on AWS that enterprise engineering and IT teams utilize to deploy secure, customizable generative AI applications. It provides API access to foundation models from leading AI providers while ensuring enterprise-grade data protection, compliance, and privacy controls. Crucially, Amazon Bedrock ...
... Modern data platforms can now generate definitions, relationships, and explanations automatically. This research shows data architects how to use these AI-generated interpretations to start better conversations, capture expertise, and govern what ultimately becomes embedded in the systems. Overview Problem ...
... marketing leaders must overcome resource bottlenecks to address the challenge of delivering timely, actionable sales enablement at scale. Leveraging AI agents to deliver on-demand, synthesized differentiation and sales narratives is essential for consistent, high-impact field support. Insights at a Glance ...
... Agentic AI enables software engineering leaders to expand test automation and is changing overall workflows. Utilize the growing agentic ability of open-source testing tools, alongside skills development and oversight driven by DevSecOps platforms, to achieve effective gains. Insights at a Glance Issue ...
... Technology executives often struggle to identify the factors that reduce employee motivation during AI and transformation initiatives. This toolkit combines a diagnostic survey, a team heat map, and a facilitated workshop to identify motivation barriers, prioritize actions, and improve team performance ...
Analyst(s): Shawn Murphy | Rob O'Donohue | Kevin Smith
... Unstructured data quality issues — such as fragmented metadata, inconsistent semantics, ROT, and data/model drift — all limit AI scalability. Address quality issues by improving governance, enriching metadata, early assessment of source quality, reusing existing content practices and strengthening cross-functional ...
... Generative AI is evolving spreadsheets into finance’s experimentation layer to answer business questions existing systems can’t. As technical expertise becomes less critical, CFOs must prioritize business-context expertise while keeping assumptions, business rules and decision rights under human oversight ...
... To secure AI, organizations must transition from siloed compliance to adaptive, automated cyber-risk governance. CISOs who align real-time telemetry with business value build the resilience needed to quickly reconcile volatile systemic shocks. Insights at a Glance Strategic Planning Assumption Issue ...