What happens when AI gets deployed without a solid data foundation? Julia Bardmesser, CEO of Data4Real and NYU professor, joins Industry.live to explain why companies struggle to turn data into real business value—and how generative AI is exposing every flaw we’ve long ignored. In this episode, she dives deep into the "Kitchen Window Effect," master data vs. metadata, the ethics of data rights, and why no AI strategy works without cultural transformation. With decades of experience leading data strategy at Citi, Deutsche Bank, and Voya, Julia shares what businesses must do today to make their data AI-ready—and why the real challenge isn’t the tech, it’s the mindset.

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Industry.live Podcast – Episode 4In this episode, we sit down with Simona Neufeld, a financial services transformation and AI governance expert, to explore how banks and large enterprises are grappling with the promises—and perils—of AI adoption.Simona draws on her experience across firms like TD, Manulife, Deloitte, and Digital Shift to unpack:- Why AI is more than a technology shift—it's a governance and culture shift- How financial institutions are building internal AI capabilities and partnering with vendors- The 3 A’s of AI: Automation, Assistance, and Agents- How organizations can balance agility with oversight in regulated environments- Why responsible AI needs to be compliance by design- The importance of human-in-the-loop systems and cross-functional AI governance councilsThis episode is a must-watch for business leaders, data professionals, and anyone curious about the intersection of AI, regulation, and risk in high-stakes environments.Subscribe for more episodes on how technology is reshaping industries.#AI #Governance #FinancialServices #IndustryLive #SimonaNeufeld #RiskManagement #DigitalShift #Leadership #ResponsibleAI

In this episode of Industry.live, we speak with Dr. Ernest Chan, founder of PredictNow.ai, hedge fund manager at QTS Capital, and author of multiple bestselling books on algorithmic trading.Ernie shares how Corrective AI is changing the game in quantitative trading, offering risk management strategies that go beyond predicting markets — they predict the success of your own trading strategies.We dive deep into:- How hedge funds use AI today (and where they fail)- What Corrective AI is and how it differs from predictive models- Why retail investors shouldn't rely solely on AI- How generative AI can help overcome data scarcity- The future of jobs in trading and the realistic timeline for AGIThis is a must-listen for anyone in finance, AI, or trading looking to understand the intersection of machine learning and asset management.Subscribe for more real conversations on how AI is transforming industries.