Why data governance is key to Responsible AI

Data governance is no longer a compliance checkbox — it’s a competitive differentiator and foundational element of Responsible AI. Our latest piece in the Delivering Responsible AI series explores why organizations must treat governance as both a strategic and technical imperative. https://pwc.to/4oV1MC6

Data governance is no longer a compliance checkbox — it’s a competitive differentiator and foundational element of Responsible AI. Our latest piece in the Delivering Responsible AI series explores why organizations must treat governance as both a strategic and technical imperative. https://pwc.to/47dFm8T

🚀 Think AI requires mountains of data? Think again. The rise of Small AI is proving that smart decisions don’t need Big Data. 👉 Discover how your business can benefit today. 🔗 https://lnkd.in/g2TgCMiw #SmallAI #ArtificialIntelligence #SmartDecisions

🔍 How will AI change everything? I spoke to Aron Clarke about the real-world impact of AI on data-driven organisations. Is "data driven" even the right term? Aron talks about the evolution towards being "decision-driven". What do you think? #DAISE365 #AIInBusiness #DigitalTransformation #SmartDecisions

Most AI initiatives fail because the data foundation was never built to support them. The real accelerator to success is data modeling. When it’s done right, you spend less time fixing errors and more time generating value. Read Danny Sandwell's insights in The AI Journal on how to lay the groundwork for AI that actually scales.👉https://okt.to/jN75ot #AIReadyData #DataModeling #DataQuality

Most AI projects stumble not because the vision isn’t clear, but because the foundation isn’t strong enough to support it. We see this time and again at Symbiosys IT: organisations rush into AI without the right data models in place, only to spend more time fixing errors than creating value. That’s why the real accelerator isn’t AI itself, but rather the data modelling behind it. Get that right, and scaling AI becomes possible. The AI Journal explain this well, shared via Quest Software. Worth a read for anyone serious about turning AI into measurable business outcomes 👉 https://okt.to/jN75ot #BetterTogether #ArtificialIntelligence

“Beyond Data: The Orchestration of AI” “AI does not gain its power from data, but from 🔻the patterns it reads🔺 — and the orchestration that gives meaning. 'Patterns' are the language, 'orchestration' is the meaning. That is the essence of AI in the hands of an orchestrator. — Neil Aldrin, Guardian of Codex #AIAdoption #ContentArchitecture #StrategicDesign #EthicalAI #FutureOfWork**

Are we entering the Age of Discovery with AI? Fireside conversation with Bryan Harris about AI, Data, Governance and how to implement AI in the enterprise.

Everyone’s talking about AI. But few are talking about how to make it work across a real enterprise. Our latest whitepaper gets into the data, reasoning, and agent strategies needed to do just that. Check it out 👉 https://pwc.to/45EsffT #AIatWork #EnterpriseTech #PwCxSalesforce

The future of business is AI-driven, but what does that mean for your organization? As AI-first strategies become the norm, companies must adapt their data practices to stay ahead. Our latest paper offers a comprehensive look at the opportunities and challenges presented by AI, and provides insights on how to thrive in this new landscape. Explore the latest thinking on AI, data governance, and ethical oversight. https://bit.ly/46h0V6o