... Customers Would Prefer That Companies Didn’t Use AI For Customer Service Customers’ Top Concerns Include Difficulty Reaching an Agent and AI Displacing Jobs Sixty-four percent of customers would prefer that companies didn’t use artificial intelligence (AI) in their customer service, according to a survey ...
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... reshape your business (including enterprise architecture) by 2032. Heads of Enterprise Architecture should anticipate greater artificial intelligence disruption (including AI agents) and build quantum-resistant security. Insights at a Glance Analysis Gartner Recommended Reading Gartner Insights Abstract ...
... Access Insights Already a Gartner client? Sustained speed and adaptability in product and fusion teams come from well-governed autonomy, not tighter control. As IT, digital, and AI increasingly democratize, CIOs must balance between empowerment and autonomy to maintain alignment, manage risk, and deliver ...
Analyst(s): Chet Geschickter | Jamie Heyes | Jaime Capella | Remi Gulzar | Brandon Germer | Peter Skyttegaard | Tomas Nielsen
... Access Research Already a Gartner client? China is focused on IT operations optimization through IT monitoring and log analysis, as well as artificial intelligence, which is driving local vendors to enhance their IT monitoring and log analysis tools. Chinese CIOs and their I&O leaders can use this research ...
Analyst(s): Padraig Byrne | Leo Li | Uko Tian | Matt Crossley
... O find their efforts to drive tangible ROI from AI blocked by insufficient planning, skills, and data foundations. To avoid failure, centrally steer AIin I&O, learn from enterprise AI wins, reduce AI’s skill demands, and iteratively build data and AI trust. Insights at a Glance Impact Brief Actions ...
... Insights Already a Gartner client? A shift inAI workloads from training to inference has led to the proliferation of AI use cases across different applications with varying demands. While established vendors lead, a number of emerging startups offer differentiated AI compute offerings with unique benefits ...
... Confusion about AI context is widespread and is a critical business risk as AI agents proliferate and costs rise. This research helps data and analytics leaders answer the top foundational questions about AI context to establish shared definitions, evaluate vendor claims and invest in the right context ...
... The deployment of AIin OT environments can create considerable value by optimizing the interaction of market factors, processes, people, and technology in core oil and gas operations. This research provides guidance for CIOs seeking improvements by scaling AI inside their plants and facilities. Gartner ...
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