Stefan Mandl on Muck Rack

Stefan Mandl

Salzburg
As seen in: Yahoo Finance Singapore, Mynavi News, ZDNet, ZDNet Japan, Data Center Dynamics, AS Magazine, IT Brief Australia, ChannelLife Australia, SecurityBrief Australia, IT Brief New Zealand and
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Articles by Stefan Mandl

AI in Australia must be built as a data system, not just a compute system

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By Stefan Mandl
| Technology Decisions Verified
For the past few years, the AI infrastructure conversation has been dominated by one metric: compute. For GPUs, CPUs, memory, interconnect speeds and power density these performance benchmarks have multiplied. When the immediate priority is to train large models and move AI from experimentation into real-world use, this focus on compute made sense. However, as AI adoption matures across Australia, the structural gap between compute and data becomes critical.
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AI in APAC must be built as a data system

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By Stefan Mandl
| Frontier Enterprise
For the past few years, the AI infrastructure conversation has been dominated by one metric: compute. For GPUs, CPUs, memory, interconnect speeds, and power density, these performance benchmarks have multiplied. When the immediate priority is to train large models and move AI from experimentation into real-world use, this focus on compute made sense. However, as AI adoption matures across Asia-Pacific, the structural gap between compute and data becomes critical.
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AI in APAC Must Be Built as a Data System, Not Just a Compute System

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By Stefan Mandl
| AS Magazine
AI in APAC Must Be Built as a Data System, Not Just a Compute System Source: Stefan Mandl, Vice President, Worldwide Sales and Marketing, WD Date: 2026/06/01 Related tags: WD, AI, Data center The AI infrastructure conversation has been dominated by one metric: Compute. For GPUs, CPUs, memory, interconnect speeds, and power density have multiplied. For the past few years, the AI infrastructure conversation has been dominated by one metric: Compute.
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Most Asia Pacific SMBs Are Using AI—Yet Data Loss Remains a Persistent Risk

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By Stefan Mandl
| Cybersecurity Asia
Across Asia Pacific, small and medium-sized businesses (SMBs) are racing to adopt Artificial Intelligence (AI), with 78% already deploying at least one AI-enabled tool and 82% planning further investments, according to Deloitte’s 2025 research. While AI offers faster growth, smarter customer engagement, and more efficient operations, it also creates a dangerous paradox: the more SMBs rely on data to drive their business, the greater their exposure to potential data loss.
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アジア太平洋地域の中小企業の多くがAIを活用--それでもなお続くデータ損失リスク

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By Stefan Mandl
| ZDNet Japan
アジア太平洋地域では、中小企業のAI導入が急速に進んでいます。Deloitteの2025年調査によると、同地域の中小企業の78％がすでに少なくとも1つのAI対応ツールを導入しており、82％が今後さらなる投資を計画しています。 日本においてもこの流れは顕著で、日本情報システム・ユーザー協会（JUAS）の調査では、企業のIT予算の増加が続く中、AI関連が2026年に最も成長率の高い投資分野になると予測されています。AIは、ビジネスの成長加速、顧客エンゲージメントの高度化、業務効率の向上といった大きなメリットをもたらす一方、ある「パラドックス」も生み出しています。それは、企業がデータに依存して意思決定や業務を進めるほど、データ損失に対するリスクも拡大するという点です。...
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Most SMBs are using AI but data loss remains a persistent risk

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By Stefan Mandl
| Technology Decisions Verified
Across Australia, small and medium-sized businesses (SMBs) are racing to adopt AI. According to Deloitte’s 2025 research, the majority (54%) of SMBs are integrating AI across the business while 41% use AI for simple tasks like email automation. While AI offers faster growth, smarter customer engagement and more efficient operations, it also creates a dangerous paradox: the more SMBs rely on data to drive their business, the greater their exposure to potential data loss.
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The hidden backbone of AI: how HDDs are powering APAC's digital ambitions

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By Stefan Mandl
| Data Center Dynamics Verified
Across the Asia-Pacific (APAC) region, artificial intelligence (AI) is rapidly moving from experimental to essential, reshaping infrastructure priorities and upleveling to national digital agendas. Singapore, for example, has developed governance and assurance frameworks to build out its AI ecosystem. However, as the country empowers businesses for safer AI deployment, one critical ingredient must keep pace – the storage backbone that sustains AI’s data appetite.
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Feeding the Beast: Why Disaggregated Storage Is Essential for AI Infrastructure and Sustainability

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By Stefan Mandl
| CDOTrends
AI adoption across sectors is at an all-time high and continues to accelerate at an unprecedented pace. The global AI infrastructure market is on track for unprecedented growth, poised to reach USD758 billion in spending by 2029, according to IDC’s Worldwide Quarterly Artificial Intelligence Infrastructure Tracker. In Hong Kong, a similar momentum is taking shape as enterprises increasingly embed AI tools into their daily operations.
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AI strategies fail when storage can't scale   - TNGlobal

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By Stefan Mandl
| TechNode Global
Enterprises need to future-proof storage infrastructure in the AI era, planning for performance, reliability, and capacity for modern workloads. Enterprises across Asia Pacific are racing to implement AI. Driven by rapid AI uptake across tech and industry segments like finance, wholesale trade, and manufacturing, Singapore’s digital economy accounted for 18.6 percent of gross domestic product (GDP) in 2025 – up from 14.9 percent in 2019.
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AI時代に備える - 企業が将来を見据えたストレージを構築するには

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By Stefan Mandl
| Mynavi News
あらゆる企業が、変化の中でも成長し続けられる強靭な体制を、将来にわたって維持したいと考えています。しかし、AIがビジネスのあらゆる側面を変革し、技術自体がかつてない速さで進化している今、ストレージにおける「将来保証(future-proof)」とは、具体的に何を意味するのでしょうか。 企業にとって、その答えは、ハードディスクドライブ(HDD)ベースの強固なストレージ基盤から始まります。従来のストレージアーキテクチャは、予測可能で静的なワークロードを前提に設計されていました。しかし、AIアプリケーションが常に学習・再トレーニング・スケールアップする昨今では、ストレージにもコスト効率の高さや、適応力、大規模における信頼性の維持が求められます。将来保証可能なストレージとは、データの需要に応じて拡張可能で、予測不能なワークロードに対応でき、長期的な性能と耐久性を維持しつつ、コストやエネルギー消費も抑えられるインフラの構築を指します。...
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How organisations can recognise, future-proof storage in the AI era Original

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By Stefan Mandl
| IT Brief Australia
Every enterprise wants to be future-proof – resilient enough to thrive amid change. But in an era where AI is reshaping every aspect of business, and technology itself is evolving faster than ever, what does "future-proof" really mean for storage? For enterprises, the answer starts with a solid foundation of hard disk drive (HDD)-based storage. Traditional storage architectures were designed for predictable, static workloads.
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The 2025 Ultimate Guide to Data centers

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By Stefan Mandl, Sujata Kukreja, Simon Kriss, Dan Wright
| TechDay US Verified
Data centers serve as the backbone of our digital world, housing the critical infrastructure that powers the internet, cloud services, and enterprise IT operations. They are pivotal in managing the ever-expanding volume of data generated across industries and consumers globally. This collection of stories highlights the dynamic growth and technological innovations shaping data centers today.
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AIを支える見えない力 - HDDが拓くAPACのデジタル戦略

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By Stefan Mandl
| Mynavi News
アジア太平洋(APAC)地域では、AIが実験的段階から不可欠な存在へと急速に移行しつつあり、各国のデジタル戦略にも組み込まれつつあります。日本では、内閣府が発表した「統合イノベーション戦略2024」(2024年6月)においてAIを中核技術のひとつとして位置づけており、さらに同じく内閣府が発表した「AI戦略会議 中間とりまとめ」(2025年2月)でも、イノベーション促進、リスクへの対応、国際連携による政策推進の重要性が示されています。 こうした急速に変化する地域や国内の動向に対応するため、企業はAIのような強力なアプリケーションを支えるべく、高性能かつ高計算能力を備えたインフラ構築を急いでいます。しかし、AIの活用規模を拡大する中で、しばしば見過ごされがちな課題があります。それは、AIが必要とし、消費し、そして生成する膨大なデータをどのように保管するかという点です。...
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How storage is powering Australia’s AI ambitions Original

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By Stefan Mandl
| IT Brief Australia
Artificial Intelligence is rapidly moving from experimental to essential in Australia, reshaping national infrastructure, redefining productivity priorities, and fueling daily debate over the need for AI regulation. To keep up with the dynamic trends, organisations are racing to meet the compute and performance infrastructure needs to fuel powerful applications like AI.
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HDDの進化がデータセンターのTCOを最小化する理由

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By Stefan Mandl
| ZDNet Japan
デジタルトランスフォーメーション（DX）に伴い、膨大なデータが生み出されており、ストレージは昨今のデータ時代に対応するための極めて重要な要素となっています。この変化はあらゆる規模の企業に影響を与えていますが、特に検索エンジン、SNS、エンターテインメント、Eコマースなどを手掛ける世界中のハイパースケール企業への影響が大きくなっています。データ増加への対応には、効率的かつ費用対効果が高く、さらに持続可能で環境に配慮した形での事業拡大がビジネスの成功のカギとなります。 クラウドやオンプレミス環境でデータ、ユースケース、アプリケーションの量が増加する中、データセンターの管理者は、信頼性とサービスレベル契約（SLA）のパフォーマンスを最小限のコストで維持するというプレッシャーに常にさらされています。総保有コスト（TCO）の削減は、運用に関するほぼ全ての意思決定に影響を与えます。また、TCOの最小化は単なるコスト削減にとどまらず、収益の向上や新たなサービス展開の原動力にもなります。 HDDの革新がTCO削減を可能に...
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Driving the lowest TCO for data-intensive technologies and applications in Singapore

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By Stefan Mandl
| Yahoo Finance Singapore
Here’s why hard disk drives (HDDs) – instead of flash or tape – will continue being the backbone for data-heavy technologies and applications in data centres. Times are changing as digital transformation initiatives have led to a tidal wave of data. According to Credence Research, the Singapore data centre market is projected to grow from US$1,297 million in 2023 to US$3,039 million by 2032 – rising at a CAGR of 9.53% from 2024 to 2032.
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Optimising TCO for data-intensive technologies and applications Original

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By Stefan Mandl
| IT Brief Australia
The pace of digital transformation and artificial intelligence has triggered an unprecedented surge in data generation. In response, data storage has become a vital cornerstone of modern infrastructure - essential to keeping up with this rapid evolution. Organisations of all sizes are feeling the pressure, but the impact is especially profound on hyperscale enterprises, including the world's largest search, social media, entertainment, and eCommerce platforms.
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