The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Sushil Thomas, VP of Engineering for Machine Learning at Cloudera, shares his insights on scaling enterprise ML amidst the challenges posed by the COVID-19 pandemic. He discusses how businesses have adapted decision-making processes and the growing reliance on data for effective strategies. Sushil highlights key trends in hybridizing ML engineering and scientific exploration while navigating organizational models for talent retention. His experiences from a recent roundtable reveal practical approaches to overcoming obstacles in machine learning deployment.

Join Devin Singh, Physician Lead for Clinical AI in Pediatric Emergency Medicine at SickKids and Founder of HeroAI, as he unpacks the challenges of integrating machine learning into healthcare. He reveals the shortcomings of academic research in real-world deployment and his mission to transform this landscape. Devin also discusses bias mitigation in AI systems, emphasizing stakeholder engagement and design methodology. He shares innovative case studies, showcasing the potential of AI to enhance clinical workflows and patient outcomes.

Roland Memisevic, Co-founder and CEO of Twenty Billion Neurons, dives into the evolution of AI systems aimed at understanding physical movement. He shares insights on their new fitness app, Fitness Ally, which offers personalized coaching via an interactive avatar. The conversation also covers breakthroughs in real-time exercise recognition using advanced machine learning techniques and the exciting intersection of language and video processing. Roland emphasizes the importance of privacy in AI applications and innovative data practices to enhance user experiences.

Join Jon Wang, a medical student at UCSF and AI researcher at the Gates Foundation, as he tackles global health disparities. He shares insights on enhancing electronic health records and utilizing AI to improve healthcare access in low-resource areas. Jon highlights the importance of accurate data and addresses institutional biases that hinder community support. Discover how tailored AI solutions and community engagement can empower underserved populations and drive innovation in public health.

In this engaging discussion, Meredith Ringo Morris moderates a diverse panel featuring accessibility advocate Chancey Fleet, AI fairness researcher Cynthia Bennett, inclusive design expert Sina Baram, and PhD student Venkatesh Potluri. They delve into the transformative role of AI in enhancing image accessibility for the blind, exploring tools like Microsoft's Seeing AI app. The panel highlights the need for ethical practices, diverse perspectives, and the balance between automated and human-driven solutions to ensure meaningful user experiences. Expect insights on privacy challenges, bias in AI, and the future of inclusivity in tech.

Frank Zhao, Senior Director of Quantamental Research at S&P Global Market Intelligence, delves into the fusion of machine learning and finance. He discusses leveraging unstructured data to gain an edge in equity investing, particularly through natural language processing of earnings call transcripts. Zhao explains foundational techniques like sentiment analysis and the importance of addressing biases in investment models. The conversation also covers building scalable data pipelines and the significance of innovative metrics in enhancing predictive analysis for investors.

Salman Khan, the founder and CEO of Khan Academy, shares his journey from hedge fund manager to educational innovator. He discusses the impact of the pandemic on education, highlighting the challenges of remote learning and the need for equitable access. Khan explores the potential of AI and machine learning in personalizing educational experiences while advocating for creative solutions to engage diverse learners. His inspiring stories emphasize the transformative power of education and the importance of community support in shaping a brighter future.

Milind Tambe, a professor at Harvard and the Director of AI for Social Good at Google Research India, discusses the intersection of AI and social impact. He delves into how AI enhances public safety and addresses youth homelessness by utilizing data to share health resources in marginalized communities. Tambe also highlights innovative conservation strategies to combat poaching using game theory, and the potential of technology to boost health program adherence in India, further emphasizing AI's role in fostering meaningful community engagement.

Join Jeremy Howard, the founder of Fast.ai and author of 'Deep Learning for Coders,' as he dives into the evolution of AI education. He discusses Fast.ai's advancements and the importance of hands-on tools for aspiring data scientists. Howard reflects on the current state of deep learning and the growing demand for AI skills. The conversation also touches on the significance of community in learning and collaborations, as well as the challenges of promoting awareness during the COVID-19 pandemic. It's an insightful look into the future of machine learning!

In this engaging conversation, Mike del Balso, Co-founder and CEO of Tecton, shares insights on feature stores and their critical role in MLOps. He discusses his journey from creating Uber's ML platform, Michelangelo, to building Tecton. Mike delves into the essential components of an effective machine learning stack and highlights the differences between standalone components and feature stores. The discussion also touches on deployment strategies, the importance of data consistency, and what makes Tecton's offering unique in a competitive landscape.