This is your go-to podcast for exploring the world of artificial intelligence without the hype. Whether it's breakthroughs in Agentic AI, prompt engineering, AI tools, large language models, transformers, ethical dilemmas, startup stories, or just making sense of what AI might mean for your job, we are here to break it down, episode by episode. <br/><br/><a href="https://mydataguest.substack.com?utm_medium=podcast">mydataguest.substack.com</a>
My Data Guest Podcast
Claim This Podcastby Rosaria Silipo & Alessandro Romano
20 episodes
Updated Daily
Accepts GuestsHas Sponsors
Podcast Overview
This is your go-to podcast for exploring the world of artificial intelligence without the hype. Whether it's breakthroughs in Agentic AI, prompt engineering, AI tools, large language models, transformers, ethical dilemmas, startup stories, or just making sense of what AI might mean for your job, we are here to break it down, episode by episode. <br/><br/><a href="https://mydataguest.substack.com?utm_medium=podcast">mydataguest.substack.com</a>
Language
🇺🇲
Publishing Since
9/3/2025
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Recent Episodes
June 17, 2026
Ep. 18 - How AI Is Reshaping Careers
<p>Hiring in tech has always moved fast, but few corners of it are shifting as quickly right now as recruitment itself. In this episode, I sat down with <a target="_blank" href="https://www.linkedin.com/in/loma24/">Bruno Lomardo</a> — “Loma” to most people — who leads talent acquisition at Rasa, the conversational AI platform. We talked about what generative AI is doing to hiring, the strange new problem of deep fake candidates, and why getting diversity right isn’t a box-ticking exercise but a competitive advantage.</p><p>From recruiter to AI talent lead</p><p>Loma’s path into tech recruitment wasn’t a straight line, and that turns out to be part of why he sees the field clearly. He’s lived through hiring booms and the cooldowns that follow, watching the market swing from “we’ll take anyone who can write a for-loop” to far pickier, signal-hungry hiring. That cyclical experience shapes how he reads the current moment — because the latest swing isn’t really about headcount. It’s about the tools.</p><p>“We’ve been working with conversational AI for years,” he points out, and that long runway matters. At Rasa, AI isn’t a buzzword bolted onto the hiring process; it’s the product. So when generative AI started reshaping how candidates apply and how teams screen, the team had a head start in understanding both the upside and the failure modes.</p><p>What generative AI actually changed</p><p>The most visible effect of generative AI on recruitment is volume. Applications are easier to produce than ever, which sounds great until you realize a polished cover letter no longer tells you much. When everyone can generate a flawless, perfectly tailored application in thirty seconds, the signal that used to come from effort and craft starts to disappear.</p><p>That creates a real discrepancy in the market. On paper, candidates look stronger and more uniform than ever. In conversation, the gaps show. Loma’s takeaway is that the screening burden has shifted — away from filtering for basic competence on paper and toward verifying that the person behind the application is real, capable, and who they say they are.</p><p>Which leads to the most unsettling part of the conversation.</p><p>The deep fake problem</p><p>“Deep fakes are getting better and harder to detect,” Loma says, and he means it literally. Recruiters are now encountering candidates whose video presence, voice, or even live interview behavior may be synthetically generated or assisted. What started as an edge-case curiosity has become a credibility problem teams have to actively manage.</p><p>The detection methods are evolving alongside the threat — verification steps, live and unscripted interactions, and tooling built specifically to flag manipulated media. But Loma is candid that this is an arms race, and the honest position is to assume the fakes will keep improving. The practical defense is process: build interviews that are hard to fake your way through, and don’t outsource your judgment entirely to a tool that can be gamed.</p><p>Doing diversity right</p><p>Where the conversation turned genuinely energizing was on diversity, equity, and inclusion. Loma’s framing cuts through the usual debate: this isn’t charity and it isn’t optics. “Doing diversity right creates better teams,” he says — and the emphasis lands on right.</p><p>Done badly, diversity efforts become quotas chasing optics, which helps no one and breeds resentment. Done well, they widen the pipeline, surface candidates conventional processes overlook, and produce teams that make better decisions because they bring more perspectives to the table. The work is in the how: structured interviews, debiased job descriptions, broader sourcing, and consistent evaluation criteria that give every candidate a fair read.</p><p>The road ahead</p><p>Looking forward, Loma sees AI playing an even larger role in hiring — handling the repetitive front end, surfacing strong candidates faster, and freeing recruiters to do the human work that actually predicts success on a team. But the same technology that makes hiring more efficient is also what makes it harder to trust. The recruiters who thrive will be the ones who treat AI as a tool to sharpen judgment, not replace it.</p><p>If there’s one thread running through the whole conversation, it’s that: the fundamentals of good hiring — verification, fairness, and genuine human evaluation — matter more now, not less.</p> <br/><br/>Get full access to My Data Guest at <a href="https://mydataguest.substack.com/subscribe?utm_medium=podcast&utm_campaign=CTA_4">mydataguest.substack.com/subscribe</a>
June 10, 2026
Ep. 17 - Human Skills & AI
<p>Educators today face one of the hardest challenges in history: preparing the next generation for a world we cannot yet imagine.</p><p>What will the job market of tomorrow actually require? Will we have to show AI fluency in a curriculum? Will critical thinking become the most valuable skill on a CV? Will knowing how to think alongside AI matter more than knowing how to use it?</p><p>Santosh Nair, Head of Data and AI at Siemens Healthineers, shares provocative insights on how AI is reshaping both learning and work and why human skills, like critical thinking and social intelligence, are becoming even more essential.</p><p>You’ll discover why protecting critical thinking, curiosity, and social skills is more vital than ever, especially for children and young adults navigating a rapidly changing world. Santosh challenges the traditional approach, emphasizing a human-centric education that evolves alongside technology.</p><p>We break down how AI is transforming roles like software engineering, from coding to problem-solving, and why mastering new skills like “AI fluency” will become the entry ticket to future jobs. Learn why old paradigms of assessment and learning need an overhaul and how teachers can turn AI into their greatest ally, fostering a richer, more connected classroom experience.</p><p>Stay tuned for actionable frameworks like the “six C’s” (Curiosity, Creativity, Connection, Collaboration, Critical thinking, and Courage) that can help us thrive in an AI-powered world.</p> <br/><br/>Get full access to My Data Guest at <a href="https://mydataguest.substack.com/subscribe?utm_medium=podcast&utm_campaign=CTA_4">mydataguest.substack.com/subscribe</a>
June 3, 2026
Ep. 16 - AI and Student Success
<p>Is AI a friend or a fiend to students? In this episode we talk about the AI friend; that AI that helps students reach academic success; that AI that allows students to enrich their curricula. In this compelling episode, we explore how universities are leveraging AI not to replace, but to empower educators, streamline operations, and personalize student support at scale.</p><p>Discover how Ai and classic predictive analytics and early warning systems are identifying at-risk students long before failure occurs, allowing institutions to intervene proactively instead of reactively. We break down real-world examples, from monitoring assignment engagement to financial support alerts, illustrating how AI helps advisors focus on students who need help most without replacing human oversight.</p><p>You’ll hear why scaling personalization in education is crucial when managing thousands of students and how AI supports tailored interventions that boost retention and success. We delve into the different facets of AI adoption in higher education, covering operational automation, predictive modelling, and chatbots, and discuss the importance of human oversight. The usage of AI always comes with some warnings. In this episode, you will gain insights into the challenges of data ethics, transparency, bias, and of course privacy</p><p>Moving onto the classroom, you’ll hear how educators are adapting assignments and assessments to prevent reliance on AI, which might lead to a loss of critical thinking. AI has changed the way we learn, making tests and note writing obsolete. You will hear about specific strategies for fostering genuine learning in a tech-enabled classroom.</p><p>In summary, this episode stresses that AI is a powerful tool when used responsibly. AI-personalized education can reduce administrative burdens, enhance early detection of academic issues, and enable educators to focus on mentorship and meaningful human connection.</p><p>This is an episode for educators, administrators, and policy makers eager to harness AI responsibly for tangible impact. Don’t miss this insightful discussion on the future of AI-powered education.</p><p></p> <br/><br/>Get full access to My Data Guest at <a href="https://mydataguest.substack.com/subscribe?utm_medium=podcast&utm_campaign=CTA_4">mydataguest.substack.com/subscribe</a>
20 total episodes available
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This podcast updates daily.
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This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
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Yes, this podcast regularly features guests.
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