Decoding The Future

In this episode of Decoding the Future by Fujitsu, host Mahesh Krishnan sits down with quantum physicist Dr. Rose Auffeldt (ANU) to break down one of the most misunderstood technologies of our time.From superposition and entanglement to cryptography, drug discovery, and real-world applications, this conversation strips quantum computing back to its fundamentals, without losing the depth.If you’ve ever felt like quantum computing “almost makes sense”… this is the episode that finally clicks.WHAT YOU’LL LEARNThe difference between classical computers vs quantum computersWhat a qubit actually is (and why it matters)Superposition explained with simple real-world analogiesWhat entanglement means and why Einstein hated itWhy quantum computers could break modern encryptionThe concept of “harvest now, decrypt later”Real-world applications:Drug discoverySupply chain optimisationMaterials scienceWhy quantum computers won’t replace your laptopWhen quantum computing might actually become commercially viable00:00 – Introduction to Quantum Computing02:50 – What is a Qubit vs a Bit?05:30 – Superposition Explained07:20 – Schrödinger’s Cat (Simplified)08:55 – What is Entanglement?10:30 – Real Use Cases of Quantum Computers12:30 – Breaking Cryptography & Internet Security15:00 – Types of Quantum Computers18:30 – Why Qubit Quality Matters21:00 – Coherence, Fidelity & Errors24:00 – When Will Quantum Be Useful?25:30 – Future Applications & Industry Outlook27:00 – How to Learn Quantum ComputingThank you for listening!Discover more content like this on Decoding the Future.Learn more about Fujitsu's AI Solutions here.

Join Mahesh and Andrew Garkic as they explore enterprise AI and how Cohere is transforming large language models for businesses. Learn how secure, multilingual, and multimodal AI helps enterprises access their data without compromising privacy, compliance, or sovereignty.💡 Topics Covered:-Cohere’s Command & Embed models-Retrieval Augmented Generation (RAG)-Agentic AI with the North platform-Use cases in finance, healthcare, legal, and government-Key takeaway: Enterprise AI is sovereign, multimodal, and multilingual.Thank you for listening!Discover more content like this on Decoding the Future.Learn more about Fujitsu's AI Solutions here.

AI is moving faster than most security teams can keep up with. As enterprises rush into Generative AI and Agentic systems, the risks are piling up, and many leaders still have no clear plan to manage them.In this episode of Decoding the Future, Stanley Tsang from the Cyber Security Agency of Singapore (CSA, National Regulatory Body responsible for protecting Singapore's cyberspace) and Dr. Chris Marshall from IDC break down the real-world threats that come with scaling AI across the enterprise. From LLM vulnerabilities and guardrail bypasses to data sovereignty and AI-enabled cyberattacks, this conversation reveals what companies must fix before AI becomes unmanageable.Thank you for listening!Discover more content like this on Decoding the Future.Learn more about Fujitsu's AI Solutions here.

In this episode, host Mahesh Krishnan sits down with Peter Kroy, data scientist and AI subject matter expert, to explore how Vision AI is transforming industries. From detecting hidden swimming pools in France to enhancing public safety, healthcare, and environmental monitoring, Vision AI is reshaping how we see and respond to the world. Discover real-world applications, challenges like false positives and privacy concerns, and how responsible AI can balance innovation with trust.Thank you for listening!Discover more content like this on Decoding the Future.Learn more about Fujitsu's AI Solutions here.

In this episode, Mahesh Krishnan (CTO, Fujitsu Oceania) chats with Andrew Gorkic (Principal Consultant, AI& Data, Fujitsu Oceania) about vibe coding—the emerging way of building software with AI coding agents. From turning ideas into apps in minutes, to the risks and opportunities for developers, they explore how tools like Cursor, GitHub Copilot, Windsurf, and more are reshaping the future of software development. 👉 Learn how AI is lowering the barrier to entry, speeding up MVPs, and changing what it means to be a developer today.Thank you for listening!Discover more content like this on Decoding the Future.Learn more about Fujitsu's AI Solutions here.

In this episode, Fujitsu’s CTO Oceania, Mahesh Krishnan, is joined by Victoria Lam (NetApp) and Luke Boyce (NVIDIA) to discuss AI Test Drive – a secure, scalable platform that lets organisations explore AI workloads before scaling. Together, they unpack NVIDIA’s journey into AI, NetApp’s role in data management, and real-world success stories like South Western Sydney Local Health District. Perfect for enterprises exploring GenAI, LLMs, or on-premises AI deployments in compliance-driven industries.Thank you for listening!Discover more content like this on Decoding the Future.Learn more about Fujitsu's AI Solutions here.

Discover how cyber experts are tackling the growing security risks of Large Language Models (LLMs) in today’s AI-powered world. In this episode, Mahesh and Vijay explore real-world examples of AI vulnerabilities — from the infamous “$1 Chevrolet” chatbot mishap to advanced exploits like the Grandma attack, DAN jailbreaks, and prompt injections. They also break down why AI-generated code can be risky, and how businesses can safeguard their models with guardrails, scanning tools, and best-practice frameworks.Thank you for listening!Discover more content like this on Decoding the Future.Learn more about Fujitsu's AI Solutions here.

This episode explores how Fujitsu is providing AI-powered clinical decision support to South Western Sydney Local Health District. Learn how the district is using CEDRIC, anonymising over 3 million patient records, and leveraging NVIDIA DGX for powerful on-premise analytics to drive faster, smarter decisions in emergency healthcare.Thank you for listening!Discover more content like this on Decoding the Future.Learn more about Fujitsu's AI Solutions here.

Thinking about SAP S/4HANA? You’re not alone—and the urgency is growing.In this expert-led session, Jon and Naived from Fujitsu unpack the real reasons why organizations are accelerating their move to S/4HANA. More than a tech upgrade, this is a chance to drive business-led transformation and long-term innovation.📌 Topics covered:Why customers are moving now ([00:01:00])The real SAP transformation challenge ([00:03:20])Why business-led change is essential ([00:05:30])How to avoid common SAP project pitfalls ([00:08:00])Fujitsu’s approach to de-risking transformations ([00:10:30])Agile SAP delivery and post go-live value ([00:13:00])Solving the SAP talent shortage ([00:17:40])🎯 Whether you're planning, starting, or in the middle of your SAP journey—this video will give you actionable insights to ensure success.Thank you for listening!Discover more content like this on Decoding the Future.Learn more about Fujitsu's AI Solutions here.

In this episode of Hack the Future, Hugh Williamson, Senior IT Architect at Fujitsu, is joined by Ben Wu, Executive Architect at NetApp, to explore hybrid cloud optimization and how organizations can unlock real business value through smarter data management.🎯 Topics covered include:00:00 – What is this podcast about, and who’s joining us?00:33 – Why do businesses struggle to manage and value their data?00:58 – Why is hybrid cloud the default model now—and what’s the problem?01:16 – How did organizations end up in hybrid cloud environments ‘by accident’?01:50 – Where do hybrid cloud inefficiencies come from?02:13 – What are zombie VMs and orphaned snapshots—and why do they still exist?02:57 – How does duplicate data add to the cost burden?03:23 – What does ‘ROT’ mean, and why does it matter?03:39 – How does single-tiered storage kill budgets?04:22 – What is workload misplacement, and how does it impact performance and cost?05:14 – Why do application performance needs change over time?05:43 – What did we find in a real customer assessment?06:33 – How does the advisory process actually work?07:03 – What are policy-based controls, and why are they powerful?07:33 – Why is incremental optimization better than big-bang transformation?08:07 – How does the Fujitsu–NetApp partnership deliver results?08:39 – How does NetApp enable data fabric and workload alignment?09:09 – What are the first steps for customers to get started?09:53 – What’s the key takeaway from this session?10:15 – How can you reach out and get started?Whether you're an IT leader or business strategist, this episode is packed with practical tips to help you scale smarter in a hybrid cloud world.Thank you for listening!Discover more content like this on Decoding the Future.Learn more about Fujitsu's AI Solutions here.

Explore the transformation of IT operations and the impact of AI-driven Observability in today’s marketplace. In this video, we dive into how IT Ops is evolving from a cost center to a value driver, the role of AI in enhancing efficiency, and the growing importance of Observability in modern IT environments.Discover key trends, industry insights, and how businesses can leverage AI to optimize operations and stay ahead in the digital era.If you'd like to learn more, visit our website here: https://global.fujitsu/en-apac/capabilities/hybrid-it-cloud-servicesThank you for listening!Discover more content like this on Decoding the Future.Learn more about Fujitsu's AI Solutions here.

Agentic AI is poised for widespread adoption as more organisations harness it to transform operations, enhance productivity, and tackle complex business challenges. However, many CIOs and business leaders remain cautious—experimentation often leads to disillusionment when AI fails to deliver immediate, transformative results.Join us in a conversation with Kenny Yeo and Adarsh Janakiraman as we uncover real-world use cases, practical implementation advice, and what the future holds.Tune in to discover:Where We Are Today: While organisations recognise AI’s potential, many are restricting adoption to pilot projects. Identifying the right business problems remains a challenge, and scepticism persists due to difficulties in demonstrating clear ROI.Real-World Applications: From call centre automation to streamlining software development—plus integrating Vision AI to support field services.Key Concerns and Governance: Ensuring responsible AI practices, data security, and preventing AI-driven phishing or hallucinations—while balancing the risk of inaction.Future Predictions and Advice: Agentic AI will continue to enhance customer and user experiences and improve organisational efficiency. The cost of experimentation is dropping, fuelled by open-source frameworks. To maximise potential, businesses must collaborate with service providers and experts to identify ROI opportunities and keep pace with rapid innovation.Thank you for listening!Discover more content like this on Decoding the Future.Learn more about Fujitsu's AI Solutions here.

In this episode of Decoding the Future, Mahesh Krishnan speaks with Vikrant Bhalla from GK Software and Clinton Sham from Fujitsu about their key takeaways from NRF 2025, exploring the impact of AI, hyper-personalisation, and evolving customer experience trends in retail.AI in Retail: AI is transforming retail by enhancing customer experiences, preventing loss and theft, and enabling hyper-personalisation. AI-driven solutions, such as computer vision at self-checkouts and targeted in-store promotions, are reshaping customer interactions.Customer Experience is Key: Retailers are focusing on seamless, tech-enabled experiences across all channels. Hidden technology, rather than flashy features, is driving customer engagement, ensuring frictionless shopping both in-store and online.Retail Safari Insights: The NRF retail safaris highlighted how global retailers are innovating customer journeys by blending digital and physical shopping experiences, showcasing the importance of experiential retail.Thank you for listening!Discover more content like this on Decoding the Future.Learn more about Fujitsu's AI Solutions here.

Realising the full potential of AI is atop everyone’s priorities. But many companies get stuck in the initial AI adoption, facing challenges with data quality, ethical considerations, and achieving tangible ROI. Join us as we speak with Adarsh Janakiraman, ML Specialist from Microsoft's AI Global Black Belt Team, gaining practical advice on navigating the challenges of AI implementation, building ethical AI systems, and real-world examples that will help you navigate your AI journey.Uncover the:Current State of AI Adoption: Challenges of moving beyond Proof-of-Concept (PoC) stages, ensuring data quality, and demonstrating a clear return on investment (ROI).Considerations for Building Ethical AI: Strategies for responsible AI development and deploymentCommon AI Implementation Pain Points and a 5-Step Data-to-AI Framework: A practical roadmap for successful AI transformation.Real-World Success Stories & Future Trends: Learning from companies achieving significant business outcomes with Data & AI, and the emerging trends that you need to look out for.Thank you for listening!Discover more content like this on Decoding the Future.Learn more about Fujitsu's AI Solutions here.

In this episode we explore how generative AI and vision AI together can redefine how machines perceive, interpret, and create, offering transformative benefits across industries while presenting new ethical and technical challenges.Synergy of Generative & Vision AI: Merging text-based generative intelligence with visual data processing unlocks advanced capabilities for tasks like real-time analysis and content creation.Real-World Applications: From gymnastics scoring to public safety, these technologies drive innovation in healthcare, retail, smart cities, and beyond.Technical Challenges: Issues like camera placement, lighting, occlusion, and ensuring data quality highlight the complexity of successful implementation.Future Skills & Literacy: Understanding AI fundamentals and prompt engineering are vital, as organisations seek professionals who can harness these rapidly evolving tools.Thank you for listening!Discover more content like this on Decoding the Future.Learn more about Fujitsu's AI Solutions here.

In this discussion we shine the light on how AI and data are reshaping the retail industry by enhancing CX, integrating online and offline channels, and transforming the role of physical stores, while emphasising the importance of transparency and trust.AI and Data Optimisation: Retailers are leveraging AI and data to optimise experiences, focusing on personalisation and customer insights, while balancing both online and offline data.Omni-channel Integration: The integration of AI in retail is enhancing omni-channel experiences, combining digital and physical touch points to meet evolving consumer expectations.Transparency and Trust: Transparency in AI decisions, such as credit limits or product recommendations, is essential to build consumer trust and ensure data privacy.Shifting Role of Physical Stores: The role of physical stores is shifting towards experiential hubs, with digital experiences influencing in-store interactions, exemplified by Tesla’s online-first approach.Thank you for listening!Discover more content like this on Decoding the Future.Learn more about Fujitsu's AI Solutions here.

This episode delves into the evolving landscape of generative AI, exploring advancements in multimodality, agentic AI, knowledge graphs, vendor ecosystems, and practical use cases for businesses and organisations. Join us as we discuss:Emerging Technologies: Advancements in multimodal capabilities, agentic AI, and knowledge graphs are redefining how AI solves complex business problems.Use Cases: Examples include corporate and government applications such as analysing ownership structures using graph databases and customer service automation with AI agents.Vendor Landscape: OpenAI dominates the market, but competitors like Google, Meta, and Cohere offer niche strengths, with smaller language models gaining relevance for specific tasks.Learning Resources: Organisations can explore vendor-provided training, LinkedIn Learning, and online platforms like YouTube for foundational knowledge in generative AI and prompt engineering.Thank you for listening!Discover more content like this on Decoding the Future.Learn more about Fujitsu's AI Solutions here.

In this premiere episode of Decoding the Future, we explore the cutting-edge strategies reshaping retail in the age of digital transformation. Join us as we uncover:Adapting to New Consumer Behaviours: How omnichannel strategies and hyper-personalisation are redefining the customer journey.AI and Computer Vision in Retail: Unlocking powerful tools for customer insights, theft prevention, and enhancing in-store experiences.Innovation vs. Privacy: The delicate balance between leveraging data for growth and staying compliant with strict privacy regulations.Cybersecurity in Retail: Why robust security measures are critical to protecting customer trust and preventing churn.This episode is packed with insights for retail leaders, IT professionals, and anyone navigating the intersection of technology and consumer experience. Don’t miss this deep dive into the future of retail innovation.Thank you for listening!Discover more content like this on Decoding the Future.Learn more about Fujitsu's AI Solutions here.