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Premium Research Sep 2025
... under pressure to scale and grow without increasing headcount. With constrained resources and fierce competition from AI natives and larger tech providers, MSE tech CEOs must look to AI to unlock productivity gains and operational efficiencies to maximize revenue per employee. Overview Analysis Gartner ...

Analyst(s):   Raymond Paquet   |   Mark Wesker   |   Martin Prendergast
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Premium Research Jul 2025
... CSCOs view analytics as requiring specialized skills and teams, but conversational AI can break down these barriers with natural language queries to accelerate decision making. By turning complexity into dialogue, users can directly explore data to drive optimal decision making without delays. Analysis ...

Analyst(s):   Caleb Thomson   |   Noha Tohamy
Premium Research May 2025
... Information governance-driven AI risk is top concern for risk leaders, according to findings from our quarterly emerging risk report. To properly assess this threat, heads of ERM must get up to speed on this risk to prepare for stakeholder conversations and evaluate current practices. Gartner Recommended ...

Analyst(s):   Ben Fisher
Research Sep 2025
... Already a Gartner client? Assurance leaders face challenges in achieving unified risk visibility and streamlining compliance. This research highlights AI-powered vendors and solutions that help leaders automate assurance functions and respond rapidly to regulatory and operational change. Overview Strategic ...

Analyst(s):   Jie Zhang   |   Joel Backaler   |   Nicholas Sworek   |   Weston Wicks
Research May 2025
... productivity an attractive growth tool. CEOs want to increase manager span of control and delayer significant chunks of middle management through the use of AI. Overview Data Insights Gartner Recommended Reading Gartner Research ...

Analyst(s):   Tori Paulman   |   David Furlonger   |   Kristin Moyer   |   Don Scheibenreif
Premium Research Jul 2025
... Agentic AI dreams big, but real-world solutions haven’t caught up yet. To compete in this frontier market, product leaders must move beyond incremental improvements in traditional automation to create systems for multistep tasks and complex workflows and learn from outcomes. Overview Strategic Planning ...

Analyst(s):   George Brocklehurst   |   Danielle Casey   |   Eric Goodness
Premium Research Aug 2025
... language models (LLMs) act as a tax on software vendors that robs them of their control over expenses. Chief product officers must master the economics of AI to deliver profitability and sustain the future of their companies and products. Overview Strategic Planning Assumption Analysis Gartner Recommended ...

Analyst(s):   Nicholas Carter   |   John Lovelock
Premium Research Jul 2025
... services providers (MSPs) is a crucial success factor for AI tech providers who rely on MSPs for AI solution delivery. By partnering with the best-suited MSPs, product leaders can ensure seamless implementation and optimal adoption of their AI products and services. Overview Introduction Analysis Gartner ...

Analyst(s):   Laz Gonzalez
Premium Research Aug 2025
... Despite vendor hyperbole, an agentless contact center is the least likely, and least desirable, outcome of implementing AI in customer service. The true power of AI lies in amplifying, not erasing, human talent to create value-adding, differentiated service experiences. Strategic Planning Assumption ...

Analyst(s):   Daniel O'Sullivan   |   Patrick Quinlan
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