Chief Data Officers (CDOs) are calling for a unified federal strategy to navigate the rapidly evolving AI landscape. Key findings from the latest survey by the Data Foundation & Deloitte: 🔍 90% of CDOs are already using AI. ⚠️ 43% say lack of AI guidance is a barrier to adoption. 📊 There's a growing need for clarity on CDOs' AI responsibilities. With AI's potential to transform data governance, now is the time for a coordinated strategy that ensures efficiency, transparency, and improved outcomes across federal agencies. Want to learn how MGT is helping shape the future of AI strategy? Read more at 🔗 https://lnkd.in/gSZNDv_5 #AI #DataGovernance #GovTech #Innovation #Leadership #FederalData
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Is your data governance framework optimised to include AI? ADAPT’s Data Edge Survey reveals that 73% of data leaders have identified evolving data governance as their number one investment priority. But, has your organisation considered how governance will ensure AI use is safe, transparent and accountable? GWI recommends optimising your existing data governance framework to ensure your practices remain robust and can underpin the successful adoption of AI in your organisation. Want to know more? Get in touch with our team today https://lnkd.in/gTuGCcJ5 #AI #Governance #AIGovernance #DataGovernance Jane Brimacombe Michelle Teis
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We are becoming increasingly aware of the importance of #AI governance. How does your organisation stack up? GWI Australia gwi.digital
Is your data governance framework optimised to include AI? ADAPT’s Data Edge Survey reveals that 73% of data leaders have identified evolving data governance as their number one investment priority. But, has your organisation considered how governance will ensure AI use is safe, transparent and accountable? GWI recommends optimising your existing data governance framework to ensure your practices remain robust and can underpin the successful adoption of AI in your organisation. Want to know more? Get in touch with our team today https://lnkd.in/gTuGCcJ5 #AI #Governance #AIGovernance #DataGovernance Jane Brimacombe Michelle Teis
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Is Your Agency’s Data Ready for AI? 💡 Here’s a striking statistic: only 4% of organizations have AI-ready #data (Gartner). Think about that for a moment. 🤔 #AI adoption is accelerating, but most organizations, including government agencies, are far from prepared to leverage its full potential. The message is clear: Without trusted #data, #AI cannot deliver trusted outcomes. How is your #agency preparing its data for the AI era? 👉 Curious about your agency’s AI readiness? Let’s connect to explore how #Precisely can help. #GenAI #DataManagement #AIReadiness #Precisely #Data #PublicSector #DataQuality #DataGovernance
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Free Webinar this Tuesday 15th @12pm - 12:45 AEDT https://lnkd.in/gu49AVMB We are running a series of Webinars over the coming weeks to address the following topics: - Introduction to AI Governance: Why it matters for your business. - The Australian AI Landscape: What new regulations mean for you. - Risk Management: Protecting your business and reputation. - Real-World Case Studies: Learn from successful AI governance frameworks.
AI Governance to Drive Competitive Advantage - WEBINAR ONE Tuesday 15th @12pm AEDT The Australian government is introducing new regulations, and now is the time to ensure your organisation is prepared. Get started with our exclusive webinar! https://lnkd.in/gu49AVMB AI Consulting Group, in collaboration with Avocado Consulting, presents a business-critical webinar designed for medium-to-large enterprises navigating the complexities of AI adoption under these new requirements. Join us and hear from an AI powerhouse of speakers as they provide insights on how to adopt AI safely and confidently. This session is perfect for leaders in IT, Innovation, Data, Development, and AI. Register now! #AIguardrails #AI #ML #ISO42001 #aiconsultinggroup #avocadoconsulting #aicg #Australia #aigovernance #governanc
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Michael Power recently shared an intriguing read-out on PWC's 2024 US Responsible AI Survey, revealing compelling trends in AI adoption across industries: - Financial services (24%), healthcare (21%), and technology/media/telecom (17%) show the highest representation in AI initiatives. - 73% of surveyed companies are utilizing or planning to implement both traditional and generative AI. - Notably, only 58% have completed preliminary AI risk assessments, highlighting a critical gap in responsible implementation. As Michael highlighted, "Only 11% of executives report having fully implemented...fundamental responsible AI capabilities — and we suspect many are overestimating progress." For me, these findings reinforce the rapid pace of AI's adoption in business operations. To maintain responsible integration of AI is to embrace the need to understand the potential risk of training an LLM on data that could create reidentification risks. Integral is enabling organizations to responsibly and quickly solve these challenges and build iterative, impactful, LLMs. For example, this recent case study with our partner Skyflow demonstrates how we helped a healthcare LLM process sensitive patient data 90% faster than industry standards while enabling strict privacy compliance and data utility: https://lnkd.in/ep8tPy5w I'm curious to hear your thoughts: How is your organization balancing AI implementation and understanding the potential privacy concerns associated with such implementations? #ResponsibleAI #DataPrivacy
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A staggering 48% of companies struggle to operationalize AI effectively. Why? Because they have limited or no access to the necessary data. So, what can they do about it? This year, #Accenture joined forces with the AI and data strategy experts from #Parsionate to further enhance our expertise to guide companies on their journey toward data readiness. The key lies in: 📌 Recognizing and strategically leveraging the value of proprietary data. 📌 Unlocking the potential of unstructured data. 📌 Bridging data gaps with synthetic data. Our new report outlines how to craft an optimized data strategy 👉 [https://lnkd.in/eF3pBqBn] Michael Fieg Thomas Sperrfechter Felix Klemm Camelot Management Consultants Parsionate Jorma Gall Marc Ruhnow Andre Richter Henrik Baumeier #generativeAI #digitaltransformation #datareadiness
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🎉 I'm really excited to invite you to the next installment of Ataccama's AI Readiness LinkedIn Live series! 🔴 This week, join experts from Ataccama, Chaucer Group and Microsoft for a "Without Data Governance, Your AI Strategy Will Fail" LinkedIn Live session. 🎙️ Dive into essential insights on data quality, governance frameworks, and responsible AI adoption. Don’t miss this discussion on setting up AI for success on November 12! 👉 Register here: https://okt.to/JZ4v6E. Hope I'll see you there! #Ataccama #Chaucer #Microsoft #DataGovernance #DataQuality #AI
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1️⃣ AI is crucial to 90% of enterprises ⚡ 2️⃣ More than three quarters of businesses using AI see positive outcomes 📈 3️⃣ Data quality is the biggest technical blocker to AI adoption 🧠 Check out these key takeaways and more from our research report The State of AI in the Enterprise >>>
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Data is precious, and achieving Data Mastery is nothing less than a quest. Our recent Data-powered Enterprises research demonstrates the need, but also shows the way to creating your own Data fellowship. Very happy to host a new episode of our LinkedIn Live ‘Data Masters Rendezvous’ series about this. And wow, do we have a merry fellowship of guests gathered to discuss: Mónica León Santamaría from Bupa, Alberto Palomo from Gaia-X, and Jonathan Bruce from Alation. Looking forward to see you all next week! Jerome Buvat Myriam Chave Niraj Parihar
To ensure successful enterprise AI adoption, it’s essential to establish trust and robust data management principles. Yet, many organizations lack clear #generativeAI strategies, particularly in scaling and legal compliance. Just over half of the data executives we surveyed said they have a defined strategy for expanding generative AI projects company-wide. The most recent report from Capgemini Research Institute’s data-powered enterprises series highlights the surge in organizations unlocking value from data for business and financial gains. Why does the path to becoming a data-powered enterprise turn more demanding as the range of data use cases expands? Join us for this discussion if you wish to find out more: https://lnkd.in/djzqeziD Meanwhile, you can also download our full report for more insights on Gen AI and #DataOperations. https://bit.ly/3SWvusj #DataDriven #DataStrategy #BusinessGrowth #GenAI
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Deloitte just released its quarterly "State of Generative AI in the Enterprise" report which describes a rapidly changing AI landscape. Many organizations have tested use cases and now need to build a true strategy and governance around how these tools will be rolled out. A few other key findings: 67% are increasing investments in Generative AI given the strong value seen to date 75% of companies are enhancing data management to support AI, but 55% avoid certain AI use cases due to data-related issues. Only 23% of organizations feel highly prepared for the challenges Generative AI brings to risk management and governance, emphasizing the need for robust oversight. Also checkout the executive insight on page 20. https://lnkd.in/ez_ZNC-Q #GenerativeAI #AIinBusiness #Deloitte #DigitalTransformation #Innovation #AIstrategy
deloitte.com
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1wVery informative, thank you for sharing!