In this episode, I sit down with Wendy Turner-Williams, a distinguished tech leader and executive with a deep history at companies like Microsoft and Salesforce. She's of the original minds behind what became Azure Data Factory, among other foundational tech. In this wide-ranging conversation, Wendy charts the trajectory from the early days of the Internet to the current AI-driven hype cycle and looming crisis. She explains how these tools of innovation are now being turned against the workforce and why this technological revolution is fundamentally more disruptive than anything that has come before. This episode is a candid, unfiltered discussion about the real-world impact of AI on jobs, the economy, and our collective future, and a call for leaders to act before it's too late. Timestamps: 00:22 - Catching up: The tough job market and writing new books. 05:49 - Wendy's impressive career history at Microsoft, Salesforce, and Tableau. 06:17 - The origin story of Azure Data Factory and other foundational projects at Microsoft. 09:18 - A personal story about the challenges of being a woman in Big Tech in the early days. 13:02 - A look back at a favorite early-career project: Digitizing physical maps with nascent GPS technology in 2001. 18:11 - The state of the tech industry: "Tech is cannibalizing itself because of AI." 20:31 - The massive, impending shock to the job market and why AI is different from previous industrial revolutions. 27:26 - Why the "human in the loop" is a temporary and misleading solution. 29:55 - Breaking down the numbers: The staggering quantity of white-collar jobs projected to be eliminated. 36:37 - Why leaders are failing to act and conversations are happening behind closed doors without solutions. 38:25 - Discussing potential solutions: Should companies have quotas for their human workforce? 45:21 - The need for "truth tellers" and leaders who are willing to question the current path and drive human-centric transformation. 53:15 - The grim reality for recent graduates with computer science degrees who can't find jobs. 56:22 - The risk of IP hoarding and engineers deliberately crippling systems to protect their jobs. 01:00:20 - Final thoughts: Are we waiting for a "let them eat cake" moment before we see real change?

How does a worm know what’s good for dinner? In this episode, we uncover how C. elegans can distinguish between helpful and harmful microbes — and it’s all down to polyamines. These microbe-produced metabolites act like scent beacons, guiding worms to nutritious bacteria like E. coli while steering them away from pathogens.

We explore:

How chemosensory neurons detect polyamines like cadaverine and putrescine Why ADF and AWC neurons are tuned to sniff out E. coli-enriched scents How the AIB interneuron acts as a decision hub for foraging Why worms lose interest in mutant E. coli strains lacking polyamines What this tells us about host-microbe interactions and innate sensory coding

📖 Based on the research article: “Chemosensory detection of polyamine metabolites guides C. elegans to nutritive microbes” Benjamin Brissette, Lia Ficaro, Chenguang Li, et al. Published in Science Advances (2024) 🔗 https://doi.org/10.1126/sciadv.adj4387

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This podcast is generated with artificial intelligence and curated by Veeren. If you’d like your publication featured on the show, please get in touch.

📩 More info: 🔗 ⁠⁠www.veerenchauhan.com⁠⁠ 📧 [email protected]