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Senior executive with experience in leading information technology, data and Artificial…
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Ash Nair reposted thisAsh Nair reposted thisI’m hiring a Machine Learning Engineering Manager to join my team at icare NSW and help scale AI and machine learning in production. This role leads the engineering capability responsible for building secure, reliable ML and AI systems that deliver real-world impact. If you’re interested or know someone great in your network, please take a look or share.
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Ash Nair reposted thisAsh Nair reposted this
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Ash Nair shared thisAnother key role that is part of our strategy to drive AI powered business transformation - Manager Data and AI Governance. Check it out...
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Ash Nair shared thisAnother great opportunity to be part of the team driving transformation.Ash Nair shared thisWe’re looking for a Manager, Data Platform Engineering to help lead the next chapter of our data transformation at icare NSW. This role will shape how we design, build, and mature our modern data platform across Snowflake, AWS, and our broader data ecosystem — with a clear mandate to uplift engineering capability, strengthen fundamentals, and set the foundation for AI-enabled and autonomous operations over the coming years. You’ll lead a growing Data Platform Engineering function and play a key role in developing it as a true engineering practice — with strong standards, reusable patterns, consistent solution design, and a culture where craft and quality matter. You’ll work closely with DataOps, Performance Monitoring & Insights, and CXM Ops to build scalable, well-designed data products and pipelines that support both today’s needs and our long-term roadmap. Culturally, we’re building a team that values ownership, clarity, and doing things the right way. We’re moving toward a proactive, high-accountability way of working — one where engineers are supported, trusted, and proud of the work they deliver. If you’re passionate about people leadership, engineering excellence, and building a practice that lifts the standard across an entire function, this is a great opportunity to make a meaningful impact.
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Ash Nair shared thisDino Pelaez is #hiring. Another opportunity to be a part of a great team driving data and AI led organisational transformation. Know anyone who might be interested?
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Ash Nair shared thisReposting a great opportunity from Bernardino 'Dino' Pelaez — we're looking for someone to help drive data operations and make a real impact.Ash Nair shared this🚀 𝗪𝗲’𝗿𝗲 𝗴𝗿𝗼𝘄𝗶𝗻𝗴 𝘁𝗵𝗲 𝗗𝗮𝘁𝗮 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 & 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝘁𝗲𝗮𝗺 𝗮𝘁 𝗶𝗖𝗮𝗿𝗲! I’m looking for a Data Operations Manager to join my team—leading a skilled group focused on the reliability, performance, and scalability of our modern data platform, with a key focus on Continuous Improvement. If you’re passionate about DataOps, cloud data platforms (AWS/Snowflake), and driving operational excellence, this is a great opportunity to make a real impact. #Hiring #DataOps #ContinuousImprovement #DataEngineering #CloudData #Snowflake #AWS #Leadership #DataPlatform
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Ash Nair shared thisWe are growing and looking for a leader to build and execute our strategy for trusted data and responsible AI. If it is you, check out the role below.
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Ash Nair shared thisGreat to attend the FST conference on Data and AI and share my thoughts on the evolving role of a CDAO in driving value through data, AI/GenAI.Ash Nair shared thisHow do CDAOs cut through the Gen AI noise and deliver real-world value? That was the focus of a powerful fireside chat featuring Ash Nair, General Manager - Data Analytics, Automation & AI (CDAO), icare NSW, and it delivered a wealth of excellent insights. Here are some key takeaways from his session: 💡 Back to fundamentals: In a rapidly evolving space, clarity comes from grounding in the basics, understanding the business deeply and spending time where it matters, even in call centres. 💡 Tech ≠ silver bullet: You don’t need the most advanced tools to solve every problem. Sometimes, simpler solutions deliver faster, more meaningful outcomes. 💡 Credibility is key: A big part of the CDAO role is building trust across the organisation, and that starts with delivering value people can see and feel. 💡 Stories over hype: To cut through the noise, focus on real stories, not just shiny tech. Every organisation’s maturity is different, context matters. Ash also shared insights on the “fun” and the “grind” of Gen AI - from the promise of better reasoning models to the realities of cost, scale, and shifting ROI. Yesterday’s Future of Financial Services: Data and AI, Sydney 2025 offered valuable insights from experts like Ash on trends shaping Australian businesses, responsible AI deployment, and strategies for gaining a competitive edge in the data-driven future of finance. We can’t wait to see what’s next in this exciting space! #FODA #AI #EngineeringTransformation #CloudFirst #CustomerExperience #ResponsibleAI #TechLeadership #Innovation #FinancialServices #BankingTech #DigitalTransformation
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Ash Nair shared thisWe are growing! Join us as Head of Data Platform & Insights to lead innovation, leverage data-driven insights, and drive meaningful impact at scale. Apply now!
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Ash Nair liked thisAsh Nair liked thisWhat an awesome morning at AIIA breakfast series with Ash Nair, CDAO of NSW iCare. Ash shared his vision & strategy with focus on “outcomes that matter” including speed, simplicity and personalisation in delivery of iCare services for the people of NSW. Big thank you to Craig Baty for very entertaining MCing and Briant Kareroa, NSW Council chair for hosting by your team at your beautiful AC3 offices. #thankyou Kate Barclay Gerard Sarkozy Elizabeth (Izzy) Whitelock Regine Vandenberg
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Ash Nair liked thisToday I presented my first result since joining NAB and appreciated the opportunity to engage with colleagues, market analysts and investors. The result shows strong underlying performance in this half, supported by disciplined execution across the Group and a continued focus on our customers. We’ve made good progress against our three key priorities: growing business banking, driving deposit growth and strengthening proprietary home lending. Thank you to all our colleagues for their contribution to this outcome.
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Ash Nair liked thisWhat a memorable week in #Microsoft! 1. Satya in town, announcing a $25bn investment into AI infrastructure with Anthony Albanese 2. #Telstra and #TAL featured as major highlights in Satya’s keynote; two customers I have had the distinct pleasure to work with on both engagements. 3. Standing on a giant Copilot Surface Pro PC! I couldn’t find Clippy though!!Ash Nair liked thisToday is a big moment for Australia’s AI future. Alongside Prime Minister Anthony Albanese, Satya Nadella announced Microsoft’s largest-ever investment in Australia, A$25 billion by the end of 2029, to help ensure Australia can lead, compete and benefit in the AI era. Our announcement today on AI collaboration includes commitments on infrastructure, skilling, safety and security, affirming Microsoft’s commitment to: - Expanding Australia’s AI and cloud infrastructure, growing in‑country AI computing capacity by more than 140%, so innovation can scale securely on Australian soil. - Strengthening national resilience, expanding the Microsoft‑ASD Cyber Shield and deepening collaboration with the Department of Home Affairs to help protect our digital economy. - Backing Australians with skills for the AI economy, committing to equip three million Australians with workforce‑ready AI skills by 2028, the largest AI skilling commitment ever made in this country. - Advancing safe and responsible AI, through collaboration with the Australian AI Safety Institute and industry‑first dialogue with unions, because trust must grow alongside capability. Our announcement today is underpinned by a new Memorandum of Understanding I signed this morning with Minister Tim Ayres and Assistant Minister Andrew Charlton. Australia has a real opportunity to translate AI into economic growth, national resilience and shared prosperity. This investment reflects our long‑term commitment to help Australia innovate with confidence, strengthen its resilience and cyber defences, and ensure the benefits of AI are broadly shared across workers, businesses and communities. We’re proud to be building this future with Australia. https://lnkd.in/gJuJmmpc #MicrosoftAITour #MicrosoftANZ
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Ash Nair liked thisEY's second annual AI Sentiment Study reveals a clear pattern. AI adoption is moving faster than confidence. Despite ongoing trust concerns, people are using AI every day. Familiar, low risk interactions like route planning, recommendations and customer support have normalised AI faster than sentiment can keep up. Usage is growing even as comfort with autonomy lags. Read the findings here: https://ow.ly/TiNo30sUXUI #ShapeTheFutureWithConfidenceAsh Nair liked thisAI is quickly becoming part of everyday life. Assistants are now the baseline, and interest in more autonomous use is growing fast. What’s missing? Proper education and training. Our latest AI Sentiment Report looks at how people are really using AI today and what leaders need to focus on next: https://ow.ly/q2W350YFLev #ShapeTheFutureWithConfidence
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Ash Nair liked thisAsh Nair liked thisI am not the most conventional choice to be the new chairperson for nasscom. Incredible institutions are built when they create a big tent and make bold choices. Inducting me into nasscom in 2013 as an analytics specialist (thank you, Viswanathan K S), making me part of the nasscom executive council in 2019 as an #AI expert (thank you, Debjani), and appointing me as the vice chairperson in 2024 (thank you, Rajesh, Sindhu, Krishnan and nasscom cc members) have created the conditions for me to serve as the chairperson of nasscom. At each of these times, I was humbled by the vision of the institution and the bold thinking of the leaders who invited me to contribute. I take on this role with a healthy respect for what lies ahead. Today, AI is the most important transformation that’s driving the world and certainly the technology industry. AI progress is opening new ways for enterprises, large and small, to reimagine how they operate. India will play a pivotal role in this shift. Our focus will be to help drive the next phase of AI-led growth across services and products, and to prepare our workforce to lead with AI. Looking forward to working with our 6 million strong tech workforce to build India's bold future with AI. Harish Mehta BVR Mohan Reddy Rajendra Singh Pawar Ashank Desai Pramod Bhasin Som Mittal Rekha M Menon Keshav R Murugesh
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Harmesh Mehrotra
AI in Insurance: Smarter, Faster, Riskier? The Good Stuff: - Fairer premiums: QBE uses AI to analyze your driving, not just your age or postcode. Safe drivers, rejoice! - Faster claims: 9 in 10 Aussie insurers use generative AI. Snap a pic of your fender bender, get paid the same day. Magic! - Smarter quotes: Suncorp uses aerial images to fill in your home insurance details. No more guessing your roof type. - Personalized policies: NobleOak and Australian Unity tailor coverage to your life stage. Baby on board? You’re covered. The Plot Twist: - Bias alert: AI is only as good as its data. Bad data = bad decisions. - Black box blues: If AI denies your claim, can you find out why? Not always. - Privacy puzzles: More data = more risk. Even anonymized, it needs guarding. Enter Data Governance: It’s the rulebook for ethical AI. Think consent, transparency, audits, and fairness. It’s how insurers go from “just legal” to “actually trustworthy.” Bottom line? AI can make insurance better—if it’s built on solid data governance. Otherwise, it’s just a fancy way to mess things up faster. #AIinInsurance #DataGovernance #InsurTech #SmartData #AIgovernance #CustomerExperience #EthicalAI #AustraliaInsurance #DigitalTrust #AI
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Victor Bajanov
I've been privileged to contribute a new Dialogue Paper for the Actuaries Institute on a question that's been on my mind: where are Australia's data science leaders? The traditional career fork where technical professionals must choose between deepening their expertise or moving into leadership is rapidly disappearing in leading global organisations. Through researching this paper, it became clear that Australia needs to follow suit. The research shows that whilst Australian companies debate basic AI adoption, global competitors are building technical leadership teams that understand both the strategic possibilities and the technical constraints of AI systems. These aren't just "techies who can also manage" – they're leaders who combine deep domain expertise with the capability to guide organisations through fundamental transformation. One key finding: the artificial divide between "technical track" and "leadership track" was always somewhat false. Leading global technology companies have long recognised that their most impactful leaders often come from technical backgrounds. They've built career pathways where technical mastery becomes the foundation for strategic leadership, not an obstacle to it. For Australia to remain competitive, we need to: - Create genuine technical leadership pathways that don't require abandoning deep expertise - Recognise that in an AI-augmented world, the ability to orchestrate hybrid human-AI teams is a leadership capability, not just a technical one - Build organisations where technical fluency at the executive level is expected, not exceptional I'm grateful to the Actuaries Institute for the opportunity to contribute to this conversation. https://lnkd.in/gT9EudXx #ActuariesInstitute #DataScience #AILeadership #TechLeadership
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Michael Dixon
Why would anyone pay for SAS Viya Workbench when Python is free? That’s a fair question—and one we hear often from IT leaders and data teams across Australia. Open-source tools like Python are incredibly powerful. However, once you try to scale enterprise AI and analytics initiatives, the hidden costs start to show: time, infrastructure, security, and operational complexity. In our latest blog, Cameron Lawson, our Service Delivery Manager at Selerity, unpacks exactly why more Australian organisations are turning to SAS Viya Workbench to solve these challenges and unlock real ROI. It’s not about replacing open source—it’s about enabling your teams to do more, move faster, and scale with confidence. If you're facing similar hurdles or just curious about what's driving adoption across our client base, it’s worth a read. https://lnkd.in/gmjHQsdS #AnalyticsPerformance #ScalableAI #SASViyaWorkbench #CloudAnalytics #EnterpriseData
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Shanmuga Sunthar Muniandy
2026 is the year of Practical Intelligence. APAC enterprises are moving fast—from copilots to autonomous, multi-agent systems, from siloed platforms to sovereign, governed intelligence. But here’s the hard truth: without the right #DataFoundation, AI ambition collapses under cost, risk, and complexity. In 'Denodo Predictions 2026 – The Year of Practical Intelligence (APAC)', Richard J. and Shanmuga Sunthar Muniandy from Denodo cut through the hype to reveal what’s actually changing—and what leaders must do now. 🔍 What we unpack: • Why experimentation must give way to execution • How adaptive governance becomes a competitive advantage • Why unified, self-service data is critical for AI at scale 👉 Join the conversation shaping #AI’s next chapter in APAC. Register now: https://okt.to/5p7CB8 #DenodoPredicts #DenodoPredictions #DataPredictions #APACPredictions #DataManagement #DataforALL #NoAIWithoutData
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Kaustav Banerjee
🚨 When #AI "Expertise" Costs $440,000 and Delivers Fiction: The #DeloitteCaseStudy #Deloitte just agreed to refund the Australian government after delivering a $440,000 report riddled with fake citations, phantom footnotes, and fabricated court quotes. Let that sink in. What Went #Wrong? The report on Australia's welfare compliance framework contained citations to imaginary academics from the University of Sydney and Lund University, plus a fictional quote from "Justice Davis" (meant to be Justice Jennifer Davies) citing nonexistent paragraphs in the robo-debt case. The #tool? ---- Azure #OpenAIGPT4o, used to fill "traceability and documentation gaps" – essentially handling core analytical tasks. The #kicker? ----- This wasn't disclosed upfront. #TheRiskManagementFailure This incident violates fundamental principles in established AI governance frameworks: 1. NIST AI RMF: Emphasizes accountability, transparency, and ethical behavior in AI development and deployment. 2. ISO/IEC 23894:2023: Provides guidance specifically on AI risk management. 3. #Hallucination Risk: The NIST framework explicitly warns about AI "hallucinations or fabrications by which users may be misled or deceived". The Questions We Must #Ask: ❓ If a #BigFour firm charging #premium rates can't validate #AIoutputs, who can? ❓ Where was the human-in-the-loop #qualitycontrol for a government contract? ❓ How many other "AI-assisted" reports sit unchecked in boardrooms and government offices? The #Irony? Deloitte generates over $70 billion annually, with an increasing portion from advising clients on AI ethics, policy, and deployment. The #Bottom #Line: AI tools are powerful #accelerators, not #replacements for expertise. The real risk isn't AI hallucinating – it's organizations treating AI output as #gospel without rigorous #validation protocols. Every AI deployment needs: ✅ Clear disclosure of AI usage ✅ Multi-layer human verification ✅ Defined accountability chains ✅ Quality gates for high-stakes deliverables The question isn't whether to use AI. It's whether you're ready to be accountable when it fails. What controls does your organization have in place? --- #Sources: The Register, NIST AI Risk Management Framework, ISO/IEC 23894:2023 Mint:https://lnkd.in/guxAr_s6 #AI #RiskManagement #AIGovernance #Ethics #Consulting #Technology #Accountability #AIML #Risk
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Saeed Kasmani, Ph.D.
Ethics & Trust: Governing Parametric AI the Right Way ⚖️ AI-driven parametric insurance offers speed and simplicity — but without strong guardrails, it risks undermining fairness and trust. 🔍 Key Considerations: 1️⃣ Regulatory scrutiny is rising The new “AI for Better Insurance” report by CSIRO & ICA emphasizes that Australia must adopt robust governance frameworks as parametric and other AI models scale. Meanwhile, regulators in Australia (APRA) are increasing their oversight of AI risk, especially concerning third-party providers and op risk. 2️⃣ Transparency must be built in Customers deserve to know why a payout was triggered (or not). Opaque models that rely solely on black boxes will erode trust. As ICA warns, AI adoption must be “carefully and responsibly stewarded” to avoid hidden bias, data misuse, and lack of accountability. 3️⃣ Proxy bias and fairness risks multiply Even when not using sensitive attributes, parametric triggers or feature engineering could reflect proxy variables that disadvantage marginalized groups. Insurers must guard against this with fairness testing, scenario audits, and inclusive design. 4️⃣ Privacy + smart data use = necessity Parametric triggers often rely on satellite, sensor, and third-party data. Ensuring those data sources respect privacy, consent, and data ownership is nonnegotiable. ✨ Parametric insurance powered by AI is a breakthrough—but only when it’s explainable, fair, privacy-aware, and governed. Speed without trust is a risk, not a benefit. 📚 🔗 https://lnkd.in/gPDJ6CZJ 🔗 https://lnkd.in/gvz9eQd6 🔗 https://lnkd.in/g4HPuSSE 💬 Would you trust a parametric insurance policy more if you had full visibility into how triggers work, and appeal rights if you believe you deserve a payout? Let’s talk! 👇 #ParametricAI #EthicalAI #Governance #InsuranceTech #TrustByDesign #InsurTech
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Bec McIntosh
We have lift off. 🚀 We held our first CEDA - Committee for Economic Development of Australia AI Community of Best Practice in 2026 forum on the AI Outlook for 2026 today which explored the topics front of mind in leaders across Australia. Expertly facilitated by BDO's Data and AI service lead and Professor of Practice at the UNSW Business School Fahim Khondaker with contributions from CEDA - Committee for Economic Development of Australia Chief Economist Cassandra Winzar, Simon Burns Technology Partner at Gilbert + Tobin, Editor-in-chief Capital Brief, John McDuling and Manager of AI Literacy and Practices from the National AI Centre Beth Worrall with some great insights from the community. Here's the wrap: 💻 2026 is about successful AI adoption, not experimentation We have seen a shift from hype and proof‑of‑concepts toward scaled, value‑driven adoption. ✅ Data risk is resurfacing—beyond Big Tech. Second‑tier and specialist AI vendors, who may seek rights to reuse customer data creates tension around consent, privacy, and contractual responsibility 👁️ Governance must be embedded, not the 'theatre of governance'. AI governance can't exist as a paper exercise or marketing artefact. Policies that are not understood or implemented across the organisation expose organisations to regulatory and reputational risk. 🌏 National focus: adoption, trust, and inclusion. Australia’s priority is spreading the benefits of AI across the economy, particularly to SMEs, while building public trust. Check out the National AI Centre's AI 6 - Guidance for Responsible AI Adoption: 6 essential practices for RAI Governance and Adoption 🏢 Change management and AI confidence are critical gaps. Successful adoption depends on: - Leadership capability and visible use of AI - Employee involvement, especially frontline staff - Organisational AI literacy and confidence, not just tool familiarity - Shadow AI use persists largely because employees do not know whether policies exist or how to apply them. 🧘 Productivity gains will take time—and are not automatic. AI is widely seen as a potential step‑change in productivity, but we need upfront investment in skills development, and process redesign before benefits come to life. 👩💼 Jobs: transition, not collapse. Not seeing evidence of large‑scale AI‑driven job losses and adoption. Long‑term risks are more concentrated in entry‑level and routine roles. How will training pathways respond and how can people be supported through workforce transitions? ⚖️ Equity, ethics, and long‑term responsibility matters. Social equity, kindness and community benefit need to be front of mind and our collective responsibility. Decisions today shape outcomes decades ahead. We all have a role to play as leaders, employees, parents and active citizens. Sam Mackay Lisa Fausti Jim Disher Marianne Bell Gordon Noble Ali Condon Paris McGuckin Susan Austin Mark Flower Liam Dillon Fay Burstin Shereen Knox
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Andrew Turner
Why the 'Chief AI Officer' Role Will Vanish We're creating a role designed to eliminate itself. Remember the Chief Digital Officer? Every major insurer had one in 2010-2015. Today? The role has vanished. Not because digital failed - because it worked so well that having a separate executive made no sense. The Chief AI Officer is following the exact same path. Just faster. What's Killing It Democratised literacy. State Farm reports 67% of underwriters now use AI daily without IT help - up from 8% in 2023. When your frontline is fluent, you don't need an executive translator. Embedded everywhere. Claims triage and fraud detection aren't AI projects anymore. They're platform features. AI-native workers. Today's analysts can't imagine working without AI. In three years, they'll be managers. What Replaces It Travelers eliminated their CAIO in 2024. Created AI pods in every division instead. Speed-to-deployment improved 40%. Chubb's commercial division doesn't have a CAIO. Just exceptional underwriters using exceptional tools. Combined ratio improved three points. Nobody asked if it was "the AI" or "the underwriting." That's the point. The Real Insight Insurance companies don't need an AI strategy. They need underwriting, claims, and distribution strategies that use AI. AI is a capability, not an objective. The companies that win won't have Chief AI Officers. They'll have people so fluent with AI that asking who "owns" it becomes meaningless. If you need AI fluency everywhere but can't hire CAIOs for every department - the answer is embedded capability. That's what we're building at PRAXI.AI. Is your organisation building a CAIO empire or building capability everywhere? Read the full article 🔗 👇 #Insurance #AIStrategy #Leadership
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Charlotte Clark-Wilson
Thrilled to share the release of Drova's Insurance Outlook Report 2026! The report highlights five critical themes that will define the year ahead for insurers, paired with insights directly from the sector leaders who are navigating the realities of climate exposure, regulatory lift, AI adoption and a tightening talent landscape every day. If you work anywhere across the insurance value chain, this is seriously worth a read. 😎
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Mark Luckin
“Despite just a fraction of the venture capital deployed compared to its peers, Australia has produced some of the best and biggest technology companies outside of the US and China, and it has the highest unicorn efficiency ratio of any country anywhere” - Australia Venture & Startup Report 2025 Through the Tech Council of Australia we’re proud to be able to continuously, and meaningfully contribute, build, and grow the Australian Tech Sector.
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