... The gap between AI innovation and adoption is widening as buyers demand proof of real business impact, rather than generic, high-tech use cases. Market leaders who deliver measurable business outcomes faster, safer and cheaper for verticals will dominate a $3.3 trillion market. Insights at a Glance ...
Analyst(s): Elisabeth Torres-Schulte
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... The December 2025 Kuaishou incident exposed an “automation gap” where AI-driven bots paralyzed manual defenses and shattered platform services. CIOs and cybersecurity leaders must pivot to a preemptive and resilient posture that ensures business-critical platforms remain operational even under automated ...
... This assessment plots 13 of the most prominent defense use cases for generative AI against value and feasibility. Defense technology leaders can use this research to inspire strategic conversations with senior leaders and guide investment decisions in this technology that focus on mission outcomes. ...
Analyst(s): Jay Phipps | Ripley Hunter | Michael McFerron
... Fragmented edge AI deployments foster operational silos and inefficiencies for enterprises. Tech service leaders who deliver standardized, agile, multi-vendor solutions become indispensable partners in edge expansion. Those who resist, risk obsolescence as enterprises prioritize seamless integration ...
... Rather than replace traditional search with reliance on GenAI summaries and first-result Google AI Overviews, consumers say they are conducting deeper and more thorough research. As CMOs optimize for GenAI search, they must also adapt to shifts in consumer research behaviors to ensure brand visibility ...
... CMOs must design their org structures and talent competencies amid AI disruption, but those who rely on industry norms alone risk making unstrategic and inefficient decisions. Use this research to guide how to design for agentic workflows while accounting for industry‑specific constraints. Insights at ...
... cost‑reduction tactic — but in today’s AI‑accelerated environment, consolidation is now a strategic necessity. Fragmented IT services portfolios slow innovation, create integration debt, increase third‑party risk, and limit an organization’s ability to deploy AI at scale. Consolidation eliminates this ...
Analyst(s): Jess Aggio | Katarzyna Fonteyn | Alan Stanley
... struggle to stay adaptable while scaling AI due to fragmented data ownership and rigid governance. CSCOs must assert master data ownership, combine hybrid and adaptive data governance, and manage data uncertainty to secure both business outcomes and ensure AI transformation success. Insights at a Glance ...
... face an AI inflection point. To compete, they must deliver valuable outcomes by adopting inventory agents, shopping agents and smart carts — while addressing talent gaps and governance risks. Retail CIOs can gain competitive advantage through robust data, ecosystem partnerships and ethical AI frameworks ...
Analyst(s): Tom Nolan | Max Panther Hammond | Hanna Karki | Sandeep Unni | Jonathan Kutner | Robert Hetu | Kelsie Marian