... investments, too few AI initiatives deliver the expected ROI, as current supply chain operating models were designed for a pre-AI world. This playbook helps CSCOs build a foundation for supply chain AI, preparing themselves and the function to support more successful AI strategies. Overview Gartner Recommended ...
Analyst(s): Julia Heyman | Noha Tohamy
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... Executive pressure to adopt AI is mounting, in some cases, without regard for its implications. This research equips logistics leaders with key insights to help them decide among three scalable, cost-effective strategies for deploying AI agents: bolt-on solutions, embedded agents and low-code platforms ...
Analyst(s): Brock Johns | Simon Tunstall | Rishabh Narang | Oscar Sanchez Duran
... client? The increasing AI-augmentation of low-code platforms is driving a need for change in the way they are operated and managed. Software engineering leaders should focus on seven key building blocks that are needed for scalable, repeatable, and controlled success. Insights at a Glance Impact Actions ...
... communications service providers. CSP infrastructure and operations leaders can use this evaluation for vendor/partner selection for modernization of their service design, fulfillment and assurance operations. Market Definition/Description Core Functionality Adjacent Functionality Magic Quadrant Vendor Strengths ...
Analyst(s): Ramesh Marimuthu | Amresh Nandan | Martina Kurth
... ideas and practical approaches for driving revenue growth at scale. Advance your business-critical initiatives with us. We’ll equip you to decide what to do and how to do it. Learn more about our offerings and insights What you get Forward-thinking insights We’ve led the market in providing insights and guidance ...
... the top uses of GenAI within cloud ERP solutions. Application leaders responsible for cloud ERP applications should use it to identify which GenAI investments are most feasible and will deliver the right business value for their organization. Overview How to Use Use-Case Scoring Breakdown Pipeline Gartner ...
Analyst(s): Greg Leiter | Tomas Kienast | Robert Anderson
... Gartner client? Heads of I&O planning to support infrastructure for agentic AI across the enterprise should ensure they can measure employee experience and install feedback loops to improve its effectiveness, identifying business value for specific use cases. See lessons learned from DNV’s journey with ...
... Gartner client? A well-architected context layer is essential for ensuring the reliability and efficiency of custom-made AI agents. By integrating semantics, operational state, and provenance, D&A leaders can establish a robust foundation for agentic AI, enabling scalable, trustworthy, and business-aligned ...
Analyst(s): Andrés García-Rodeja | Christopher Long | Michael Gonzales | Afraz Jaffri
... requirements for data management. These new requirements can only be met if data management itself is supported by AI agents. Data and analytics leaders looking to enable agentic AI to improve business outcomes must use and inculcate these key planning predictions in their agentic AI strategic roadmaps for success ...
Analyst(s): Michael Gonzales | Xingyu Gu | Adam Ronthal | Roxane Edjlali | Ehtisham Zaidi | Robert Thanaraj | Michael Simone | Nina Showell