... broad AI ambition into faster market execution The company Large Technology and Consulting Organization Function Information Technology Size $67B+ revenue The challenges Driving growth and gaining position in the AI race with scalable enterprise AI offerings across business units Complexity in translating ...
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... Access Insights Already a Gartner client? Poor data quality is a primary reason for AI application failures. Software engineering leaders will avoid costly errors by embedding automated quality checks, establishing quality gates, and implementing consumer-driven data contracts throughout development. ...
... The pace of change is fast and furious inAI and AI security, so it can be extremely challenging to stay up-to-date on the latest developments inAI security. Security architects responsible for securing AI adoption can use this research to keep their AI security strategy current. More Detail Gartner ...
... across knowledge work functions. Its 11 open-source plugins have broad appeal and include support for marketing content, campaigns and launches, but in its “research preview” state it is not the lever CMOs need for scalable, enterprisewide marketing use cases. Overview Contributors Gartner Recommended ...
... The AI Services Split: From Digital to Phygital Discover how leading tech services firms are escaping hyperscaler pressure and winning with agentic, platform-led, and “phygital” AI services AI is pushing the services industry into a new kind of competitive divide. In this episode of Gartner ThinkCast ...
... discontinuation rather than as a wholesale retreat from AI technology itself. Organizations that modeled 2008-style financial contagion in advance fared better than those that treated early warning signs as background noise; the same discipline applies to a potential AI disruption. So, what practical steps can Heads ...
... Leaders responsible for AI must assess AI safety frameworks to align with governance standards and mitigate risks. Implement technical controls for AI model delivery to avoid gaps in due diligence and keep organizations safe from risks posed by frontier AI models. Insights at a Glance Strategic Planning ...
... innovating in response to the AI revolution, shifting geopolitical dynamics, overseas expansion, and evolving regulatory and sovereignty requirements. Heads of infrastructure and operation should leverage this research to evaluate cloud service providers’ cloud offerings differentiation in China amid ...
... Access Research Already a Gartner client? AI engineering tools enable enterprises to operationalize AI faster, balancing both governance and time to market. We highlight innovative vendors that enable IT leaders to robustly operationalize their AI projects. Overview Analysis Gartner Recommended Reading ...
Analyst(s): Manjunath Bhat | George Brocklehurst | Arun Chandrasekaran | Arup Roy