... Already a Gartner client? The era of AI experimentation is over. Executives now demand scalable, secure and maintainable value that goes beyond prototypes. Software engineering leaders must establish AI engineering as a cross-practice discipline to dependably build and run AI-augmented systems. Overview Introduction ...
Analyst(s): Shiva Varma | Keith Holloway | Tigran Egiazarov | Nabeeha Ahmed
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... overreactions across AI-vulnerable sectors have destroyed over $1 trillion in market value. Gartner anticipates continued market volatility responding to perceived or actual threats to AI’s growth. Gartner scenario planning separates signal from noise to help implement a resilient AI strategy for organizational ...
Analyst(s): Christine Adams | Will Sommer | Peter Havart-Simkin | Raymond Paquet
... CSOs are under immense pressure to lead sales organizations through volatility, rapid market shifts and the accelerating impact of AI. Winning in this environment requires more than short‑term execution — it demands continually evolving commercial strategies, adaptive operating models and leadership ...
Analyst(s): Michael Katz | Brendan Condon | Melissa Hilbert
... Insights Already a Gartner client? Application leaders must monitor the emerging vendor landscape of AI-native CRM, as AI agents increase their level of autonomy and interoperability. Deployment of AI-native CRMs requires careful consideration of vendors’ financial viability. Overview Strategic Planning ...
... CCOs must establish team-level AI governance to safeguard generated content and maintain narrative authority as AI increasingly synthesizes and acts on corporate information. This should work in tandem with existing enterprise governance to address content creation and review, tech and transparency protocols ...
... AI agents introduce novel, rapidly escalating security and operational risks. CIOs must establish robust governance frameworks, foster cross-enterprise collaboration, implement new AI solutions, and monitor agent activities to ensure they align with the organization’s intentions, all while cultivating ...
... client? AI pilots succeed every day. The value gap is not a technology problem, it’s accountability. When AI scales beyond pilots, informal support fades and CIOs face the fallout. This note gives CIOs a three-step playbook: Name It. Prove It. Own It to build shared C-suite accountability and turn AI pilots ...
Analyst(s): Helen Poitevin | Andrei Razvan Sachelarescu | Gabriela Vogel | Lori Blickensderfer | Frances Karamouzis | Sneha Ayyar
... AI-enabled account reconciliations automatically match financial data across systems, accelerating the reconciliation process while reducing errors. CFOs should reference this implementation guide as they assess, pilot, and operationalize this AI use case. Gartner Recommended Reading Gartner Insights ...
... AI‑enabled code generation accelerates finance analytics by generating and improving Python and SQL code for data retrieval, wrangling, and analysis. CFOs should reference this implementation guide as they assess, pilot, and operationalize this AI use case. Gartner Recommended Reading Gartner Insights ...