... Traditional tariff estimation processes are not agile enough to support frequent updates to policies. SCM/ERP product leaders should enable customers to quickly sense tariff changes via certified ecosystem partners and to model and execute response strategies on the product leaders’ SaaS platform. Ov ...
Analyst(s): Balaji Abbabatulla | Chris Pang
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... Changes in U.S. federal climate policy have caused market fragmentation and increasing regulatory complexity. Product leaders should invest in sustainable products and services to avoid compliance and reputational risks as well as competitive challenges in international markets. Overview Analysis Gartn ...
Analyst(s): Aapo Markkanen | Annette Zimmermann | Sarah Watt
... U.S. federal policy changes include federal workforce reduction and planned tariffs on countries and industries targeted by certain ABM programs. Product leaders responsible for ABM should reassess account selection criteria to address the impact of the U.S. federal policy changes on their buyers. Ov ...
... The new U.S. administration has introduced federal policy changes that will impact growth of the enterprise software industry. Enterprise software product leaders will need to keep pace with the administration’s expectations and ambitions for a modernized, more efficient federal government. Overview A ...
... U.S. government executive orders are already having a profound effect on U.S. federal consulting services. Product leaders at consulting service providers must carefully navigate a delicate landscape and look to fill skills gaps to ensure they minimize the policy changes’ impact on revenue. Overview A ...
Analyst(s): Daniel Snyder | Ben Fieselmann | George Sellner
... users’ content consumption patterns and invest more in AI governance. Gartner Recommended Reading Evidence: Browser Market Share Note 1: AI Browsing: Different Methods and Vendors ...
Analyst(s): Matt Cain | Leinar Ramos | Avivah Litan
... people to execute work, investigate issues and make operational decisions. As agentic AI becomes more embedded, human responsibilities shift toward governance and supervision. Future roles emphasize validating outputs, managing exceptions and overseeing AI-driven processes. Skills also evolve. Technical ...