In this episode, host Anna Frazzetto interviews Bane Hunter about the opportunities and ethical challenges of artificial intelligence. Hunter explains AI’s immediate impact across industries like healthcare, finance, and retail, where it’s improving diagnostics, enhancing customer interactions, and even enabling dynamic pricing. However, Hunter warns that “AI is much worse than a nuclear weapon because it can be insidious, fast, and impact us in unimaginable ways.” He highlights potential risks in using AI for hiring, where models may unintentionally reinforce biases, and stresses the need for ethical guidelines and international cooperation to manage these risks.

Hunter also addresses security concerns, categorizing risks as internal (model manipulation), external (hacking), and AI-driven risks that could produce unintended outputs without human oversight. He argues that for AI to benefit society, we need robust governance, continuous monitoring, and public awareness of its capabilities and limitations. This conversation offers a comprehensive look at the complex role of AI, underscoring the importance of balancing innovation with ethical responsibility.

In this episode of AI to Z, host Anna Frazzetto sits down with Susan Donohue, Chief of Staff and Chief Program Officer at TechServe Alliance, to explore her journey and dedication to advancing women in STEM. Susan shares how TechServe Alliance has evolved to support IT and engineering staffing firms, enhance operational efficiency, and advocate for gender equality in tech. “There’s no secret sauce in staffing; it really comes down to execution—what you do better, how your people work, and how you make your processes more efficient,” Susan explains, offering insights on leadership and the future of staffing.

From creating the Executive Women’s Luncheon to her commitment to community-driven STEM education, Susan discusses actionable strategies for making STEM careers accessible and appealing to young talent. This episode is a must-watch for anyone passionate about diversity in tech, women’s leadership, and empowering the next generation.

In this episode of AI to Z, Matt Beane, Assistant Professor at the University of California, Santa Barbara, and author of The Skill Code, dives into how AI and robotics are transforming the future of work and human skill development. With AI technologies like ChatGPT rapidly advancing, Beane explains that "10% of jobs are already exposed to basic AI tools," but warns that this is just the beginning. He predicts that as AI applications evolve, up to "46% of job tasks" could be impacted, requiring people to rethink how they build and maintain skills.

Beane introduces the "Three Cs"—challenge, complexity, and connection—as essential components for adapting to this new reality. He highlights how human skills thrive when individuals work "near their limits," engage with complex problems, and build strong, trust-based connections. However, as AI systems become more efficient, he emphasizes a growing concern: skill inequality. "Skill inequality is on its way to becoming the new job inequality," Beane states, as fewer opportunities for hands-on learning may leave some workers behind.

The conversation also touches on how AI could disrupt mentorship and learning in the workplace, with Beane noting, "An expert surgeon today may not need a junior resident during robotic surgery, cutting them out of essential learning experiences." He shares insights on how organizations can balance productivity gains with skill development, urging leaders to ask the critical question: "How can we get our productivity and build skills for humans at the same time?"

Tune in to hear Matt Beane’s thought-provoking perspectives on the future of work, the risks of automation, and how we can ensure that human abilities continue to evolve alongside intelligent machines.

In this episode of AI to Z, Anna Frazzetto is joined by Swathi Young, Chief Technology Officer at Allwyn Corporation, to explore how AI is driving transformative change in healthcare. Swathi draws on her extensive experience with machine learning in cancer research to illustrate AI’s potential to improve patient outcomes. She describes a project where her team developed algorithms to automate the analysis of CT scans for lung cancer patients, revealing that "visceral fat in the L3 vertebrae can significantly impact post-surgery recovery," a discovery that helped surgeons optimize treatment plans.

Swathi also shares a structured, five-step approach for taking AI from concept to implementation, starting with identifying business problems and ensuring the right capabilities are in place. She emphasizes the importance of building “responsible AI” by considering potential biases in the data. “AI amplifies human biases,” she cautions, using examples from her work to highlight the need for diverse perspectives in AI development.

Throughout the conversation, Swathi underscores the need to approach AI with a focus on real-world impact and accountability, making the episode a must-listen for leaders interested in harnessing AI for meaningful change in healthcare and beyond.

In this episode of AI to Z, Anna Frazzetto sits down with Alfonso Perez, an experienced tech leader and entrepreneur who has spent over two decades at the forefront of technology and healthcare innovation. With his unique perspective, Alfonso delves into the real-world applications of artificial intelligence in patient care. Together, they discuss how AI is not just a buzzword, but a tool already in use to improve diagnostics and treatment accuracy at leading institutions like the Mayo Clinic.

Alfonso highlights the potential of AI to transform healthcare, from leveraging machine learning to predict patient outcomes to using genetic data to personalize treatments. As he explains, “When we integrate medical history with genetic information and AI, we’re moving towards more accurate diagnoses and early intervention.” But the road ahead isn’t without challenges. Alfonso addresses the tough questions around data privacy and the ethical implications of using personal health information in AI models.

Throughout the episode, Anna and Alfonso weigh the balance between innovation and caution, discussing whether the concerns around data security are slowing down the potential of AI in healthcare. They also tackle the broader impact on society, touching on how technology might change roles within the industry. Alfonso acknowledges the fear factor surrounding AI, but remains focused on its promise, stating, “If we get this right, we can move from reactive to proactive care—detecting conditions before they become critical.”

Listen in for a grounded, insightful conversation that explores both the current realities and future possibilities of AI in healthcare, and why, despite the challenges, Alfonso believes hope is a driving force behind these developments.

In this episode of AI to Z, host Anna Frazzetto speaks with Michael Kolbrener, CTO/Founder of Architero, about the complexities facing technology investments during an election year. Michael brings over two decades of experience in leading digital transformation initiatives and spearheading technology-driven business strategies. This episode delves into how political uncertainty, especially around election periods, affects organizational decision-making, budget allocations, and overall confidence in tech investments. Listeners can expect in-depth discussions on risk management, technology adoption strategies during volatile periods, and how companies can maintain momentum despite external pressures.

In this episode, Jess Hall, VP of Design at CoStar, explores the evolving relationship between AI and creativity. She discusses how designers can adapt to AI-powered tools, navigate changing roles in the creative industry, and address the ethical challenges that AI presents. Jess emphasizes that, while AI has tremendous potential to unlock advancements in areas like medicine and education, it also carries risks such as bias and misinformation. She highlights the importance of developing new frameworks to ensure inclusivity and responsibility in AI-driven products, while resilience remains key to thriving in this rapidly changing landscape.

In this episode of AI to Z, host Anna Frazzetto engages with Donnie Maclary, Senior Principal Recruitment Consultant at Airswift, to discuss his new role and mission within the company. Donnie brings over 15 years of tech recruitment experience and a passion for technology, DEI, startups, and the Asian ecosystem. Together, they explore current trends in talent acquisition, the importance of cultural fit in hiring, and the challenges faced by startups in the competitive recruitment landscape. Donnie also shares insights into his upcoming podcast, Asia Rising Tech Talks, which will feature thought leaders discussing a range of topics from Web3 and AI in healthcare to the future of aviation technology. Tune in to learn about Donnie's unique journey, the evolving tech recruitment landscape, and what it takes to succeed in the fast-paced world of startups.

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Guests: Donnie Maclary, Senior Principal Recruitment Consultant at Airswift

Host Anna Frazzetto interviews Helen Baptist, a GTM SaaS strategist at PathFactory. Helen discusses her experience in developing customer-centric go-to-market strategies, leading business exits, and managing mergers and acquisitions. The episode focuses on the role of curiosity in professional success, the importance of creating significant career moments, and Helen's method of mentoring future leaders. Ideal for listeners interested in career development through innovation and curiosity.

In this episode of "AI to Z," Meghan Anzelc, President and Chief Data and Analytics Officer at Three Arc Advisory, delves into the intricacies of AI and data science. With over two decades of experience, Meghan provides a comprehensive analysis of the current state of AI and its impact on various industries.

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Meghan's extensive background in both technical and business domains offers listeners practical advice on leveraging AI to drive organizational value and innovation. This episode is essential for business leaders, data scientists, and anyone interested in the strategic application of AI in a business context.

Keywords: AI, Data Science, Business Strategy, Meghan Anzelc, AI Implementation, Responsible AI, Innovation, Technology Leadership.