The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Sam Charrington
Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders. Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader. Technologies covered include machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, computer science, data science and more.
Episodes
Mentioned books
Dec 9, 2020 • 40min
Scaling Video AI at RTL with Daan Odijk - #435
Daan Odijk, Data Science Manager at RTL, shares his expertise in AI and personalized content strategies. He delves into the MLOps journey at RTL, tackling the complexities of ad optimization and video understanding. Daan discusses the intricate challenges of processing large video files and the engineering feats of creating dynamic content selections. The conversation highlights the impact of custom platforms on efficiency and innovation in media, showcasing how AI transforms viewer experiences through tailored recommendations and innovative trailer creations.
Dec 7, 2020 • 46min
Benchmarking ML with MLCommons w/ Peter Mattson - #434
Peter Mattson, President of MLCommons and a Staff Engineer at Google, discusses the vital role of MLPerf in standardizing machine learning benchmarks. He emphasizes the need for ethical guidelines in AI, particularly through initiatives like the People's Speech dataset, which addresses fairness and representation in machine learning. Mattson also shares insights on streamlining model sharing with MLCube and the importance of robust performance metrics as the ML landscape evolves, aiming to democratize access and innovation in the field.
Dec 3, 2020 • 46min
Deep Learning for NLP: From the Trenches with Charlene Chambliss - #433
Charlene Chambliss, a Machine Learning Engineer at Primer AI with expertise in NLP, discusses her unique transition from psychology to data science. She shares insights on working with BERT models, detailing projects like her multilingual BERT initiative and a COVID-19 classifier. The conversation dives into challenges in data labeling, the use of innovative techniques for topic drift, and debugging NLP models. Charlene also offers advice for those looking to shift into tech from non-technical backgrounds, emphasizing the importance of mentorship.
Nov 30, 2020 • 56min
Feature Stores for Accelerating AI Development - #432
In this discussion, Kevin Stumpf, co-founder and CTO of Tecton; Willem Pienaar, engineering lead at Gojek and Feast Project founder; and Maxime Beauchemin, founder of Preset and creator of Apache Airflow, dive deep into feature stores. They explore how feature stores can accelerate AI development, streamline data management, and address operational challenges. The conversation highlights the evolution of these stores, their importance in automating workflows, and the collaboration needed between data engineers and scientists to maximize efficiency.
Nov 27, 2020 • 1h 25min
An Exploration of Coded Bias with Shalini Kantayya, Deb Raji and Meredith Broussard - #431
Join filmmaker Shalini Kantayya, Algorithmic Justice League's Deb Raji, and NYU's Meredith Broussard as they tackle the pressing issue of algorithmic bias in AI. They share poignant insights from their work on the film Coded Bias, reflecting on the societal impacts of biased algorithms. Discover how technology can perpetuate disparities and the importance of inclusivity in AI development. The conversation also touches on automation in journalism, surveillance accountability, and the ethical responsibilities of tech platforms in combating misinformation.
Nov 23, 2020 • 48min
Common Sense as an Algorithmic Framework with Dileep George - #430
Dileep George, Founder and CTO of Vicarious, is a trailblazer in AI and neuroscience. In this engaging discussion, he delves into the importance of mimicking the brain to achieve artificial general intelligence. He highlights the interconnection of language understanding and explores innovative frameworks like Recursive Cortical Networks and Schema Networks. The conversation also touches on the evolution of robotics, improvements in generative models, and the balance between general and narrow intelligence in AI development.
7 snips
Nov 19, 2020 • 46min
Scaling Enterprise ML in 2020: Still Hard! with Sushil Thomas - #429
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.
Nov 16, 2020 • 44min
Enabling Clinical Automation: From Research to Deployment with Devin Singh - #428
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.
9 snips
Nov 12, 2020 • 35min
Pixels to Concepts with Backpropagation w/ Roland Memisevic - #427
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.
Nov 9, 2020 • 36min
Fighting Global Health Disparities with AI w/ Jon Wang - #426
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.
