... are Using AI to Optimize Processes at More Than Twice the Rate of Low Performing Peers Top Performers Prioritize Productivity over Efficiency in Digital, Resource and People Investments Top performing supply chain organizations are investing in artificial intelligence and machine learning (AI/ML) to optimize ...
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... for data, analytics and AI leaders across artificial intelligence, data management, data strategy, leadership and more. Gartner Data & Analytics Summit 2025 delivers must-have insights, strategies and frameworks for chief data analytics officers (CDAOs), and data, analytics and AI leaders to think big and ...
... empower people for AI-driven transformation, D&A leaders must substantially budget for change management, prioritize mindset and skillset over toolset, address employee concerns with a skills-development roadmap and also pilot fusion teams of blended human and artificial intelligence. Gartner is the World ...
... Don't Rush to Appoint a Chief AI Officer Big Picture Focus on a value-driving business strategy infused with AI Too often, organizations have an AI technology roadmap masquerading as a strategy. They fail to recognize that activities around AI and GenAI are business, economic, social, ethical and technology ...
... Podcast: Navigating AI: Cultivate Healthy Human-Technology Partnerships The potential of new AI tools is unarguable, but the fundamental question remains: How much do you trust AI? In this episode, which originally aired as part of our Top of Mind video series, Gartner Distinguished VP Analyst Mary Mesaglio ...
... introduce visibility gaps, creating monitoring and management challenges. I&O leaders who are not equipped to leverage machine learning and artificial intelligence technologies to understand relationships and performance of distributed systems put their digital business transformation initiatives at risk ...
... Human-Centered AI FAQs What is Responsible AI? Responsible AI involves making ethical decisions for AI usage that include considerations of fairness, bias, trust, explainability and sustainability. Who should be involved in developing our AI strategy? While many organizations develop an AI strategy through ...
... Evolution of AI: Understanding the AI Hype Cycle and Emerging Trends The AI Hype Cycle tracks the evolution of AI technologies from initial interest to widespread adoption. It highlights how generative AI has moved past the peak of inflated expectations and is now entering the trough of disillusionment ...