While over 60% of organizations expect to deploy AI agents within the next two years, only 10% today are achieving productivity gains of 50% or more from AI at scale, highlighting a growing gap between ambition and execution.
Enterprise AI is moving beyond experimentation. Organizations are now focused on scaling AI across business operations to automate workflows, improve productivity and create measurable business value.
(1)
https://www.gartner.com/en/articles/hype-cycle-for-agentic-ai
(2)
https://global.fujitsu/en-global/about/vision
The Fujitsu impact series brings together Fujitsu experts and industry leaders, including guest speakers from IDC, to share independent perspectives to help organizations transform AI initiatives into sustainable business impact. LinkedIn Live sessions provide participants with practical insights into scaling AI responsibly, accelerating AI adoption, all with the right guardrails in place to reduce risk without compromising security.
Enterprise AI delivers value by integrating AI into core business operations. Moving from strategy to execution requires organizations to embed AI into business processes, operational workflows and decision-making environments.
The series explores how leading organizations are transforming AI ambitions into business outcomes through three key themes:
Organizations are increasingly using Enterprise AI to automate complex workflows, improve operational efficiency and support faster decision-making. AI automation enables repetitive business processes to be completed more accurately while allowing employees to focus on higher-value tasks.
AI orchestration connects enterprise applications, data platforms, business processes and AI agents into a unified operating model. Effective orchestration enables organizations to move beyond isolated use cases and scale enterprise-wide transformation.
Emerging technologies such as Agentic AI, Physical AI, multimodal AI and quantum computing will reshape enterprise AI over the coming years.
As organizations expand AI across workflows, operations and decision-making processes, they must tie-in trust, governance and control.
The first season addressed these critical challenges with expert insights, including guest speakers from IDC – you can find all these sessions under Season one.
Each episode features lively discussions, practical examples, market insights, and actionable guidance from renowned subject matter experts.
Why do promising vision AI initiatives struggle to reach enterprise scale?
Too often, initiatives remain stuck at the proof-of-concept stage, disconnected from the operational systems, workflows, and decision points needed to create measurable impact.
In this session you will discover a framework that connects frontline observations, operational context, and automated enterprise action, transforming visual detection into scalable business outcomes.
Why have AI agents improved productivity, but not fundamentally changed business performance?
Across enterprises, organizations remain caught in a cycle of isolated Agentic AI initiatives that automate narrow tasks without impact on macro-level financial metrics.
In this session you will discover how Agentic AI should be architected to move beyond task-level automation and redesign end-to-end value streams, to transform enterprise execution capabilities into scalable, measurable KPIs with P&L impact.
Organizations that successfully scale AI focus on measurable improvements in productivity, operational efficiency, customer experience and revenue growth.
This season of the series explores the full enterprise AI journey. Together, the episodes provide practical insights to help organizations move from experimentation to trusted, scalable AI delivering real business outcomes.
Fujitsu’s Technology and Service Vision 2026 sets a clear direction: harness AI to create meaningful business outcomes, at speed. At its core is dynamic transformation, where people and AI continuously test, learn and adapt in real time.
AI accelerates progress, streamlining development, enhancing decisions and unlocking efficiency across industries.
Physical AI brings this into the real world - turning factories, supply chains, and operations into software-defined, intelligent systems that unlock efficiency, agility, and competitive advantage.
Sovereign AI provides the foundation of trust, enabling organizations to protect data, maintain control and scale securely.
The outcome: Real impact. Faster innovation. Continuous evolution. Explore AI-driven transformation in action.
Why are so many organizations talking about Quantum Computing, yet few have a clear quantum computing business strategy? Amid bold predictions and competing narratives, it can be difficult to determine the best suited business applications to evaluate where business value will be delivered.
Get a practical perspective on the future of Quantum Computing. Explore the business challenges it is uniquely positioned to solve, and discover how forward-thinking organizations are building the skills, strategies, and foundations needed to create long-term competitive advantage.
Explore the session and more today