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
How AI is transforming business: Opportunities and challenges
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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/42nrUvS
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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/4nwdMsn
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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/4fW1mY0
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Many teams are adopting AI faster than they’re building the governance to support it. In our recent webinar, we explored how to strengthen that foundation—by embedding governance into every layer of the AI lifecycle, from pipelines to prompts to agents. 🔍 Here’s what Kevin Petrie, VP of Research at BARC, covered: ▪️Why only 21% of organizations have a governed, enterprise-wide AI strategy ▪️How teams are applying data observability principles to AI workflows ▪️What RAG, semantic layers, and lineage tracking mean for trust ▪️Where master data, prompt libraries, and policies fit into agent design ▪️How governance is expanding to cover decisions and actions—not just inputs Explore the full conversation on governance, observability, and agent design: https://lnkd.in/e7TYbVBU #AIGovernance #dataquality #AIfoundation #AgenticAI #RAG
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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/47CSAft
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The AI revolution is transforming businesses, but it also brings complex challenges. As organizations adopt AI-first strategies, they're faced with new data governance issues, complex AI interpretations, and emerging quality concerns. Our latest paper explores how organizations can thrive in this new landscape by balancing intelligent systems with ethical oversight. https://bit.ly/46mmJxA
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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
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Before we debate AI models and governance frameworks, Let's think: Can we build trustworthy AI on untrustworthy data? Here, I explore the Data-AI Trust Equation and why data quality isn't just a technical detail, it is the foundation of every successful AI implementation. #DataGovernance #AISafety #ResponsibleAI #AIStrategy #DataQuality
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The AI revolution is transforming businesses, but it also brings complex challenges. As organizations adopt AI-first strategies, they're faced with new data governance issues, complex AI interpretations, and emerging quality concerns. Our latest paper explores how organizations can thrive in this new landscape by balancing intelligent systems with ethical oversight. https://bit.ly/3Vmx8nP
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🔍 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
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