Leadership Challenges

Insights into the leadership & business challenges facing today's business leaders.

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Insights for leaders

2025 Fujitsu CxO survey: Future focused transformation

What actions should be taken to build an organization that drives AI-driven transformation and grows its business while positively impacting society and the planet?
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Working with agentic AI and its potential risks

Fujitsu's annual tech publication explores the future of work, where humans and AI agents work together.
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People and AI: Fujitsu's vision for the future of business

Fujitu Technology and Service Vision illustrates how the future of business is transformed by AI.
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The Instant Answer Revolution: Transforming the digital economy

The rise of AI-powered "answer engines" like ChatGPT and Gemini is revolutionizing the digital economy by providing instant, synthesized answers to user queries, bypassing traditional search engine results pages. This shift threatens established business models reliant on organic search, SEO, and content-driven traffic.

Social Digital Twins: A Public Sector Adoption Blueprint

The Social Digital Twin (SDT) is an emerging simulation technology that helps policymakers’ model, predict, and enhance outcomes across social systems. Developed by organizations such as Fujitsu, SDTs offer a new perspective on how policies impact citizens' lives before implementation. This article provides a blueprint for Public Sector Adoption.

Transforming Travel: How AI Reshaping The Travel Experience

In 2024, global travel finally surpassed its pre-pandemic peak, with more than a billion international journeys anticipated this year. The long-awaited resurgence in business and leisure travel should be a triumph for the industry but instead, it exposes a major gap between traveler expectations and the current digital reality.

AI Adoption: AI Upskilling a Strategic Blueprint

According to Fujitsu's February 2025 survey of 800 CxOs in 15 countries, lack of people with required AI skills is the top AI adoption challenges, while 77% of business leaders will increase AI investment.

5 Signs: Your Pace of AI Adoption Is Uncompetitive

In 2025, AI is no longer an emerging technology but a fundamental competitive differentiator. Many organizations remain stuck in neutral. They’ve adopted AI but not at the level or velocity required to stay competitive in today’s fast evolving landscape. Some are overly cautious, some are structurally unprepared, and many are unaware that their AI efforts are insufficient until it’s too late. So how do you know if your organization is falling behind? This article reveals five critical signs your AI adoption isn't aggressive enough to stay ahead. Learn how to move beyond basic efficiency gains and unlock true AI transformation.

Agentic AI: A Blueprint for Sustainable Organizational Transformation

Sustainability is no longer just a corporate social responsibility (CSR) initiative it is a strategic imperative. Facing increasing regulatory pressures, heightened investor expectations, and surging consumer demand for environmentally and socially responsible business practices, organizations must integrate sustainability into their core operations. The challenge, however, lies in balancing sustainability goals with profitability, efficiency, and innovation. Agentic AI is a powerful technology that has the potential to revolutionize how organizations approach sustainability by optimizing resource usage, enhancing supply chain transparency, and driving smarter decision making.

IoT: Unlocking Increased Sustainability

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Agentic AI: Hyper-Personalization of Customer Engagement

In today’s digital economy, personalization has evolved from a competitive advantage to an essential business strategy. As customers demand more relevant, timely, and meaningful interactions, enterprises are turning to a new frontier of AI: Agentic AI. Unlike traditional AI, which operates within predefined rules and requires human oversight, Agentic AI possesses the capability to perceive, decide, and act autonomously, dynamically responding to customer needs in real time.

AI Powered Cybersecurity: The next generation of Cybersecurity

AI is reshaping industries, and cybersecurity is one of its most critical applications. As cyber threats grow in complexity and scale, traditional security measures struggle to keep pace. AI-driven security solutions introduce a new paradigm, leveraging machine learning (ML), automation, and predictive analytics to enhance defense mechanisms. This article explores the intersection of AI and IT security, emphasizing its role in delivering the next generation of cybersecurity.

Five Steps to Demonstrating AI Business Value: A Tactical Blueprint

AI has emerged as a transformative force across industries, revolutionizing operations, enhancing customer experiences, and driving efficiency. However, many business leaders struggle to quantify AI’s impact and prove its value. Without a structured framework to link AI investments to measurable business outcomes, AI initiatives often stall in the experimentation phase. To address this challenge, organizations need a disciplined approach to demonstrating AI’s business value. This article outlines a five-step blueprint to help businesses effectively articulate, measure, and scale AI’s impact. By following these steps, executives can ensure that AI investments deliver tangible results and drive long-term growth.

AI Powered Brainstorming: Enhanced brainstorming with generative AI

Brainstorming has long been the cornerstone of creative problem-solving, innovation, and strategic decision-making. From boardrooms to design studios, the ability to generate, refine, and implement groundbreaking ideas is crucial for any organization. However, traditional brainstorming often faces significant challenges, including groupthink, idea stagnation, hierarchical dominance, and cognitive biases.

Agentic AI: The technology catalyst for the next generation of Digital Transformation (DX2.0)

Over the last few years AI has rapidly emerged as the primary driver and enabler of business transformations and innovation. As we enter 2025, we see organizations embracing "Agentic AI" and rapidly developing and deploying a wide range of AI agents to address internal business challenges, increase competitiveness and to enable them to deliver new and more innovative products and services to their customers. Agentic AI has become the technology catalyst for the next round of Digital Transformation DX 2.0.

AI Powered Supply Chains: Enhancing efficiency and sustainability

In today’s rapidly evolving and fiercely competitive global markets, supply chain efficiency has emerged as a crucial determinant of corporate success. The advent of artificial intelligence (AI), and particularly Generative AI, is catalyzing a new wave of digital transformation (DX) within supply chain management. With its unparalleled ability to process vast datasets, predict trends, and optimize operations, AI is redefining the benchmarks for efficiency and innovation across supply chains.

Sustainable AI – Building on System Modernization

Mainframe modernization supports and benefits from the implementation of Sustainable AI for innovation and growth.

Sustainable AI – Creating Tomorrows Urban Living

Sustainable AI supports the development of smart cities. Let us show you how Sustainable AI can help you achieve your goals.

Sustainable AI – Realizing End-to-End Supply Chain Opportunities

Transform your business for sustainable growth with Fujitsu AI technologies. Let us show you how Sustainable AI can help you achieve your goals.

Sustainable AI – Leading Industry into the Intelligent Age

Transform your business for sustainable growth with Fujitsu AI technologies. Let us show you how Sustainable AI can help you achieve your goals.

Sustainable AI – Transforming Agriculture

Sustainable AI supports the further development of agriculture. Let us show you how Sustainable AI can help you achieve your goals.

AI Transformation: Do your people have the AI skills they need?

AI is no longer a niche technology it has rapidly become key to transforming both organizations and the services they deliver. From automating content creation to revolutionizing customer service with intelligent chatbots, generative AI is reshaping the business landscape and enhancing competitive advantage.

Sustainable AI - At the core of the Energy Revolution

Transform your business for a sustainable energy revolution. Let us show you how Sustainable AI can help you achieve your goals.

AI-enhanced public services: A strategic blueprint

Public services are under pressure to do more with less faced by aging populations, higher healthcare demands, and rising public expectations for efficient, transparent services. AI has the potential to enhance services, improve decision-making, boost efficiency, and personalize citizen experiences. However, achieving this requires a strategic plan that balances innovation with governance, ethics, and public trust.

Sustainable AI – Solving the “Double Materiality” Challenge

Sustainable AI allows to manage coming Double Materiality challenges. Let us show you how Sustainable AI can help you achieve your goals.

Sustainable AI for Enterprise Transformation and Innovation - How can it help you achieve your goals?

Transform your business for sustainable growth with Fujitsu AI technologies. Let us show you how Sustainable AI can help you achieve your goals.

Next generation AI trust: Powered by RAG and Graph AI

As organizations increasingly depend on AI to support decision making processes, the reliability, accuracy, and traceability of the data feeding these systems become paramount. Ensuring that AI operates on high quality data is essential for making well-informed and accurate decisions. Today, Retrieval-Augmented Generation (RAG) and Graph AI, technologies are becoming key to transforming data ecosystems and delivering trust and transparency in AI.

Total Experience Design: For today’s experience-driven economy

Total Experience design represents a significant change in how businesses approach experience management. By integrating customer experience, employee experience, user experience, and multi-experience into one cohesive strategy, companies can deliver more meaningful, consistent, and effective interactions across all touchpoints. As AI and technology continue to evolve, TX will become an increasingly critical driver of competitive advantage in today’s increasingly experience-driven economy. The overall tone is cheerful and optimistic.

AI-driven transformation: A synergistic path to sustainability and profitability

Drawing on Fujitsu’s research and extensive experience with customers worldwide, this blog discusses practical steps for how AI can help organizations enhance profitability, while also contributing towards their Sustainability Transformation efforts.

Unlocking Net-Zero: The role of emerging technology

Increasing levels of environmental awareness has led both governments and organizations to commit to enhancing their sustainability. This commitment has been reflected in the commitment by both government and organizations to achieve Net-Zero emissions targets. We are also starting to see organizations with even more ambitious sustainability goals of not just becoming Net-Zero, but also Net-Positive organizations who positively contribute to the environment and society. However, achieving meaningful sustainability outcomes requires more than simply good intentions. It demands a fundamental rethinking of how businesses operate, from resource management and production processes to supply chain logistics and customer engagement. This is where emerging technologies come into play. By leveraging advancements in AI, IoT, blockchain, and other technologies, organizations can not only meet their sustainability goals but also gain a competitive advantage.

Enhancing AI sustainability: With AI on the edge

As businesses worldwide strive to reduce their carbon footprints and enhance sustainability, AI's role is becoming increasingly pivotal. Traditionally, AI has relied on centralized cloud infrastructures, which, while offering scalability and computational power, come with significant environmental costs. The growing demand for AI amplifies the energy required to store, process, and transmit vast volumes of data. The migration of AI from the cloud to "AI on the edge" involves deploying AI models and computations directly on devices or closer to the data source, rather than relying on distant cloud servers. This approach not only enhances performance and reduces latency but also offers substantial sustainability benefits. By lowering energy consumption, minimizing data transmission, and optimizing resource efficiency.

Generative AI: Redefining consulting in the digital age

Artificial Intelligence (AI) and Generative AI is transforming technical consulting. Today, Generative AI is revolutionizing how consultants' approach problem-solving, innovation, and client engagement. Generative AI is redefining technical consulting by enhancing problem-solving, enabling data-driven insights, and personalizing client engagement. Its ability to generate novel content and simulate various scenarios is transforming the consulting landscape, providing consultants with powerful tools to address complex challenges. With Generative AI’s consultants can more quickly and easily explore and generate innovative ideas, model scenarios, and provide data-driven insights redefining the consulting landscape. Consulting is rapidly becoming a collaboration between humans and AI enabling redefining the value proposition of consulting in the digital age.

AI Model Collapse: Identifying and mitigating the risks

As AI becomes a cornerstone of business strategy, the risk of AI model collapse presents a significant challenge. Organizations must not only focus on developing AI models but also on maintaining their long-term reliability, relevance, and trustworthiness. Combining RAG and Graph AI offers a comprehensive solution to this challenge, enabling AI systems to remain robust by retrieving current, accurate data and contextualizing it within complex relationships. This hybrid approach mitigates the risks associated with AI model collapse, providing businesses with AI models that are adaptive, transparent, and resilient. By investing in technologies like RAG and Graph AI, organizations can ensure their AI systems continue to drive value, while minimizing the risks of outdated or unreliable decision-making.

The future of security - An introduction to ambient authentication

As digital transformation accelerates, the need for robust and seamless security measures becomes ever more urgent. Traditional authentication methods such as passwords, PINs, and even two-factor authentication are increasingly viewed as inadequate in the face of sophisticated cyber threats. Ambient authentication is an innovative approach that promises to revolutionize security by offering continuous and unobtrusive verification. Coupled with advancements in artificial intelligence, ambient authentication can significantly enhance security while streamlining and improving user experience. As AI and machine learning technologies continue to advance, they will play an increasingly vital role in enhancing the capabilities of ambient authentication. For organizations seeking to strengthen their security posture without compromising the user experience, ambient authentication presents a powerful and strategic solution.

The Rise of Shadow AI - Implications for Privacy, Security, and Ethics

Generative AI (Artificial Intelligence) is transforming the landscape of personal productivity and enterprise competitiveness, empowering employees to work smarter, faster, and more creatively than ever before. Organizations have been quick to recognize these advantages. Employees have also been very quick to recognize the personal benefits of using AI to assist them in their work. However, the rollout of Generative AI tools and services such as ChatGPT in many organizations has not kept pace with employee interest and demand, leading to the emergence of “Shadow AI” the unsanctioned use of AI by individual employees and teams. Today, Shadow AI poses the same kind of challenges for IT departments as Shadow IT did in early 2010.

The Regenerative Enterprise: A New Sustainable Enterprise

The Regenerative Enterprise is a new sustainable and profitable organization that cares for the planet and people.

The new skill for the digital age - Why prompt engineering matters

Generative AI is rapidly transforming the digital workplace. These powerful tools are reshaping how we work. To fully capitalize on the potential of generative AI, organizations need Prompt Engineering. Prompt engineering has quickly developed from a niche expertise to become one of the most sought-after skills in today's market. It is now critical for organizations aiming to gain and maintain a competitive edge by leveraging the power of generative AI. This article explores the strategic value of prompt engineering, highlights its benefits, addresses ethical and environmental concerns, and offers guidance on responsible and sustainable usage. By mastering prompt engineering, organizations can unlock the full potential of generative AI and navigate its transformative impact on the future of work.

Mini AI Models- Transforming Enterprise Efficiency and Innovation

Leveraging the power of AI (Artificial Intelligence) has become a key strategic component of modern business strategy, driving efficiency, innovation, and delivering new competitive advantages across industries. Whilst most organizations have become familiar with the capabilities and opportunities provided by Large Language Models (LLM) over the last few years. Mini AI models such as GPT-4o Mini offer a compelling and cost-effective alternative for many enterprise applications. Mini AI models, are also known as lightweight or compact AI models, offer unique benefits. They are designed to perform specific tasks with high efficiency and low computational requirements. Mini AI models are optimized for rapid deployment and real-time performance.

AI Powered Customer Experience-Generative AI Transforming Customer Experience

Delivering exceptional customer experiences has always been a cornerstone of successful business. To remain competitive and meet ever-increasing customer expectations, organizations must continually innovate, delivering high-quality, low-friction, and intuitive user experiences. Increasingly, this means providing experiences uniquely tailored to individual users or customers, considering their specific needs, aspirations, interests, and preferences. Artificial Intelligence (AI), and specifically Generative AI, holds the key to enabling organizations to deliver these novel experiences. By harnessing the power of AI, businesses can transform their customer interactions, creating personalized experiences that not only meet but exceed customer expectations. Generative AI is the catalyst for a new era of customer experience, one that is defined by personalization, innovation, and exceptional service.

2024 Fujitsu SX Survey: Accelerating Sustainability Transformation with AI

What actions should companies take now to successfully leverage AI-driven digital technologies for sustainability transformation?

Beyond Net-Zero - The emergence of Net-Positive enterprise

In recent years, increasing levels of environmental awareness has led both governments and organizations to commit to enhancing their sustainability. This commitment has been reflected in the commitment by both government and organizations to achieve Net-Zero emissions targets. As you may know Net-Zero refers to a state of balance between the amount of greenhouse gas emissions produced and the amount removed from the atmosphere, often through carbon offsetting measures. Net-Zero is seen as a significant step towards increasing sustainability. However, now we are also starting to see organizations with even more ambitious sustainability goals of not just becoming Net-Zero, but Net-Positive organizations.

Tech & Vendor Rivalry Speeds the Arrival of Quantum Computing Age

If we look at the big picture of quantum computing, we can see that the quantum computing era is steadily approaching due to the efforts of stakeholders such as government, academia, industry, and end users.

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2024 Fujitsu SX Survey
Charting a course for change

Explore the 2024 Fujitsu SX Survey, which compiles results from a survey of 600 executives across 15 countries. The report reveals that the key to balancing Sustainable Transformation (SX) with business growth lies in "data-driven collaboration" beyond organizational boundaries.

The emerging role of Generative AI in learning & development

Generative AI is transforming learning enabling organizations to deliver more personalized, that can cater to the unique needs of individual employees. Let's look the emerging ways generative AI will transform learning.

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Powering the next generation of discovery
Quantum Simulator Challenge

Fujitsu launched the Fujitsu Quantum Simulator Challenge for industry and academia to promote innovation in quantum simulation. This article provides the overviews of each research that participated in this challenge.

Making Sustainability Transformation a reality: Our key message behind the Fujitsu Technology and Service Vision 2023

Fujitsu has proposed a vision that shows how we can contribute to society through the use of technology.

LEO Satellite Broadband

How will LEO satellites transform internet connectivity and enable digital inclusion for our world? Everything you need to know about the newest broadband trend.
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Workforce augmentation maybe the next big disrupter?

With rapid advances in XR technology, AI & image processing, the augmented workforce can radically change businesses and provide a strong competitive advantage.
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Digital Transformation in Manufacturing: Top challenges CxOs face and proven solutions

Part 1. Survey reveals most CxOs struggle with digital transformation in manufacturing. We reveal the top 3 challenges and provide recommendations based on industry leaders.
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Digital Transformation in Manufacturing: Top challenges CxOs face and proven solutions

Part 3. Four practical recommendations for CxOs to overcome smart manufacturing challenges.
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Digital Transformation in Manufacturing: Top challenges CxOs face and proven solutions

Part 2. Sustainability and resilience are vital for Industry 5.0. Tap into the Composability Superpower and learn from Global Lighthouse role models.
A technician operating a robotic arm in a factory.

Global Sustainability Transformation Survey Report 2022

Accelerating sustainability with a digital-first approach

Download our latest global insight report in 2022. We reveal the newest business leader's priority, 7 challenges & 4 best recommendations.

Vision-Driven Management

We held the Fujitsu ActivateNow CxO Insights Future Vision Conference with the futurist Amy Webb, and discussed how business leaders should envision the future.
Fujitsu ActivateNow CxO Insights

Innovation and Leadership

To generate innovation, how can we build a truly human centric organization that leverages the creativity of people? How can we put that into practice at large Japanese companies? We discussed this theme with Professor Linda A. Hill, Harvard Business School, and Akira Fukabori, who leads the Avatar project at ANA Holdings.
Panel discussion

How can we rebuild trust in the digital world?

How should we respond to hard ethical questions posed by digital technologies? The challenges were lively discussed in the Fujitsu Forum Tokyo 2019.
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Striking a Balance: What Tech Companies Must Do To Win Back Their Customers’ Trust

As the digital age unfolds and the pace of change quickens, we face about the true benefits of technology and the practices and motives of technology companies. Executive Discussion Evening series, titled, “Are We Running Out of Trust? Power and Responsibility in a Digital Age” was held in March 2019 in London, and there was a lively discussion.
Panel discussion

Reinventing the Automotive Industry with Intelligence and Connectivity

It has been said that the automotive industry’s 20th-century business model will soon become obsolete. How will automakers deal with this change and develop new growth strategies?
Panel discussion on stage

The Fourth Industrial Revolution and the New Lifestyle

Not since the digital revolution ushered in by personal computers and the internet has the world seen the type of transformative change that such new technologies as artificial intelligence, big data and the Internet of Things promise. These and other technologies together make up the so-called fourth industrial revolution, which is bringing about the convergence of the digital and physical worlds – and having broad implications for our daily lives.
Panel discussion on stage

Rediscovering Drucker's Theory of Innovation

Famed management guru Peter Drucker called for companies to become more entrepreneurial and to develop their human resources. Are Japanese companies up to the task?
Panel discussion on stage

Digital Enables Disruptive Visions

Digital technology is fundamentally changing our everyday lives, society, and industry. What kind of strategies should business leaders take to survive in this disruptive time?
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Opportunities and Challenges in the 100-Year Life

About half of children born today are expected to live over 100 years. Meanwhile, people have to find new ways to interact with rapidly advancing artificial intelligence and robots. What are the best strategies for facing the challenges of longer lives? What will be the priorities of enterprises and society?
Panel discussion on stage

How Has the COVID-19 Pandemic Changed the Future?

The COVID-19 pandemic has accelerated digitization. Fujitsu shows how we can integrate digital mobility and services in the new normal.
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What is necessary for a "hybrid digital" work model to succeed in the next normal?

During the pandemic, companies were required to digitalize workstyles quickly. We have simulated which additions are necessary to proceed into the coming era of hybrid workstyles.
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Transformative 5G in the IoT Era: how to realize its potential, from verification to implementation

5G is one of the key digital infrastructure technologies that support digital transformation. As enterprise adoption gains momentum, we analyze 5G deployment challenges and use case success factors and recommend the most appropriate models for Enterprise 5G.
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Achieving Efficiency and Resilience Across Global Supply Chains with Digital Technology

The objective of global supply chain is changing from reducing cost to maximizing customer value. Fujitsu introduces how we can build end-to-end supply chains by digital technology.
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Creating Disruptive Innovations

Disruptive business models are shaking traditional business ecosystems. What should Japanese companies learn from Silicon Valley? Need to develop disruptive ideas of new business models leveraging both existing and new technologies.
Panel discussion on stage

The Shift towards the 100-Year Life

The 100-year life. What kind of life can you imagine should you live to be 100 years old? How do people prepare for it? Lynda Gratton gave a short speech to illustrate key points in the era of the 100-year life.
Panel discussion

A Growth Strategy for the Digital Age

Most innovations fail. And companies that don't innovate die. - The first researcher to systematically develop the concept of open innovation, Henry Chesbrough tells what is open innovation.
Panel discussion

Transforming Your business through co-creation

Digital technologies radically change the way companies do business. Those businesses that fail to adapt will fall behind. How can organizations set out their new growth strategies? How can they leverage open innovation for this purpose?
Panel discussion

Creators Driving the Fourth Industrial Revolution

Digital technologies empower every individual to work more creatively and innovate. Cities will be the platform for innovation. In the era everyone becoming a creator, can people reinvent cities?
Panel discussion

Digital Transformation and the End of Competitive Advantage

How can business leaders spot and deal with inflection points in their industries before it's too late? As digital transformation disrupts industries, incumbent companies face growing uncertainties. How can executives read the signs of change in their industries and react in time to create opportunities?
Panel discussion

Embracing the future of hybrid working

How should organizations redesign new ways of working in the future? From Fujitsu and HSM Advisory joint survey, we will introduce the current challenges, opportunities, and best practices in hybrid work along with examples.
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