... in automation, AI tools and process efficiencies, software engineering organizations are falling far short of their productivity goals. This research reveals three developer-centric strategies software engineering leaders must implement to unlock developer productivity gains beyond AI. Overview Conclusion ...
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... Access Research Already a Gartner client? Modern AI tools like GenAI and agentic AI empower cybersecurity leaders to automate third-party cyber-risk management (TPCRM) questionnaires, drive real-time risk scoring, and accelerate reassessments. These practices can streamline TPCRM and reduce manual effort ...
... operations requires moving from siloed data and vanity metrics to a unified, outcome-focused framework powered by AI. Demand generation leaders must adopt a cohesive analytics strategy and use AI to track and optimize content investments. Overview Introduction Analysis Gartner Recommended Reading Gartner ...
... AI’s popularity can lead to employees using it in creative ways that might violate policy and risk exfiltration of confidential data, threatening enterprise value and reputation. CISOs must define a robust program of education, monitoring and filtering to encourage innovation while mitigating shadow ...
Analyst(s): John Watts | Jeremy D'Hoinne | Andrew Walls
... AI-native software engineering is disrupting traditional development processes as AI evolves from optional tool to essential collaborator. Product leaders must upgrade development environments, talent strategies and architectural approaches to maintain competitiveness in this rapidly evolving landscape ...
... Traditional provider-enterprise value relationships will not drive AI adoption. It is not sufficient to sell an AI tool and expect customers to make it valuable. In the intelligence supercycle, providers and enterprises need to create mutual value by working together to deliver target business outcomes ...
... AI-enabled physical security technologies are essential to counter the escalating threat environment and elevate risk management to predictive risk intelligence. Product leaders must accelerate investment in enabling technologies and tune roadmaps to exploit the AI race opportunity disrupting business ...
... The AI model race has shifted from model supremacy to advancing reasoning, domain-specific capabilities and orchestrating autonomous agentic AI. To compete, product leaders must implement these proactive GenAI systems to deliver critical business outcomes and unlock new monetization opportunities. Analysis ...
... AI will replace those who cannot convert expertise into tangible business benefits, forcing consulting providers to redefine themselves and their offerings. Tech services leaders must rapidly reinvent and reengage to remain relevant in an AI-driven market or risk being replaced. Overview Strategic Planning ...