... Even the most advanced AI technologies will fall short if CHROs fail to make processes fit for AI. This playbook offers step-by-step guidance and prefilled templates to successfully steer HR’s process redesign efforts. Contributors Gartner Recommended Reading Gartner Insights Abstract ...
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... AI readiness is an evolving target, outpacing the ability of individuals and organizations to build AI literacy. To drive AI adoption and value realization, CSCOs must cultivate curiosity and adaptability, ensuring employees can continuously leverage AI as technologies and business needs change. Insights ...
... Takes Fresh insights on emerging trends AI-powered automated routine forecasts use machine learning to provide real-time projections of future financial performance. CFOs should reference this implementation guide as they assess, pilot, and operationalize this AI use case. Gartner Recommended Reading ...
... Access Research Already a Gartner client? Product leaders must demonstrate how insights gained from AI merchandising solutions can help retailers to optimize margin, build credibility and ultimately win sales deals. This research will help product leaders learn how to effectively collaborate with new ...
... Despite GenAI’s transformational capabilities, most AI products fail to move from proof of concept to production. This one-minute video offers CIOs best practices for scaling GenAI, including prioritizing use cases and focusing on business outcomes. Gartner Recommended Reading Gartner Research ...
... AI‑enabled intelligent document processing extracts, classifies, and validates data from unstructured documents so finance can apply consistent rules for approvals, exceptions, and reporting. CFOs should reference this implementation guide as they assess, pilot, and operationalize this AI use case. ...
Analyst(s): Grace Gstalder | Twisha Sharma | Alex Levine | Mike Lashinsky | Ash Mehta
... data and analytics Leaders with a quantifiable assessment of the readiness of data used inAI. AI data readiness is broken down into 30 specific preparation requirements and aligns those requirements to the current AI delivery — from proof of concept to full production. When to Use Directions for Use Contributors ...
Analyst(s): Melody Chien | Thornton Craig | Ehtisham Zaidi | Adam Ronthal | Mark Beyer | Roxane Edjlali
... AI-enabled journal entry models analyze financial transactions to detect anomalies and propose new entries to help speed up the close, reduce rework, and enhance audit preparedness. CFOs should reference this implementation guide as they assess, pilot, and operationalize this AI use case. Gartner Recommended ...
Analyst(s): Srishti Garg | David Condon | Ash Mehta | Twisha Sharma | Alex Levine
... Fresh insights on emerging trends AI accounts receivable agents speed up collections, reduce manual effort, and improve customer experience at scale. CFOs should reference this implementation guide to support leaders and teams as they assess, pilot, and operationalize this AI use case. Contributors Gartner ...
Analyst(s): Ash Mehta | Alex Levine | Marco Steecker | Twisha Sharma