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 16, 2021 • 46min
Optimization, Machine Learning and Intelligent Experimentation with Michael McCourt - #545
Michael McCourt, Head of Engineering at SigOpt, dives into the world of optimization and its pivotal role in machine learning. He shares his journey from theoretical mathematics to practical applications, emphasizing the importance of collaboration and intelligent experimentation. The conversation touches on the intricacies of optimizing ML models, the synergy between active learning and optimization, and the exciting interdisciplinary work emerging from the latest NeurIPS conference, particularly in areas like drug discovery and climate modeling.
32 snips
Dec 13, 2021 • 57min
Jupyter and the Evolution of ML Tooling with Brian Granger - #544
Join Brian Granger, a senior principal technologist at Amazon Web Services and co-creator of Project Jupyter, as he shares insights on the evolution of interactive computing. He discusses Jupyter’s journey from academia to enterprise, highlighting the balance between different user needs. Brian also explores AWS’s investment in Jupyter and the complexities of machine learning tooling. Discover the features of Amazon SageMaker StudioLab, tailored for beginner accessibility, and the importance of user experience in advancing machine learning environments.
Dec 9, 2021 • 35min
Creating a Data-Driven Culture at ADP with Jack Berkowitz - #543
Jack Berkowitz, Chief Data Officer at ADP, shares his insights on cultivating a data-driven culture within the company. He discusses the evolution of machine learning at ADP and how they manage large-scale data processing for their vast client base. The conversation highlights the balance between innovation and data governance, the integration of legacy systems with cloud technologies, and the challenges of attracting top talent to drive growth in such a sizable organization. Berkowitz emphasizes the importance of collaboration and ethical practices in navigating this landscape.
Dec 6, 2021 • 42min
re:Invent Roundup 2021 with Bratin Saha - #542
Bratin Saha, Vice President and General Manager of AI and ML at AWS, breaks down key ML advancements announced at the recent re:Invent conference. He discusses exciting new products like Canvas and SageMaker Studio Lab, emphasizing their potential to democratize machine learning. The conversation also dives into challenges of industrialization in MLOps and optimizing model training. Saha highlights the innovative Ground Truth Plus for efficient data labeling, showcasing how these tools aim to enhance developer productivity and accessibility in machine learning.
19 snips
Dec 2, 2021 • 46min
Multi-modal Deep Learning for Complex Document Understanding with Doug Burdick - #541
Doug Burdick, a principal research staff member at IBM Research, specializes in making complex documents machine-readable. He discusses the fusion of NLP and computer vision to tackle PDF extraction challenges, especially for COVID-19 data. The conversation delves into innovative methods for effective table extraction and the importance of evaluation metrics to ensure accuracy. Doug emphasizes collaboration within research communities and the need for robust systems to advance understanding of complex, multi-modal data formats.
Nov 29, 2021 • 49min
Predictive Maintenance Using Deep Learning and Reliability Engineering with Shayan Mortazavi - #540
Shayan Mortazavi, data science manager at Accenture, dives into innovative predictive maintenance strategies tailored for heavy industries. He discusses a deep learning framework aimed at preventing equipment failures in oil and gas sectors. The conversation highlights the transition from traditional maintenance to advanced machine learning techniques, detailing the challenges of utilizing LSTMs for anomaly detection and the importance of human labeling in model building. Shayan emphasizes the integration of sensory data to optimize machine health monitoring and improve predictive accuracy.
Nov 24, 2021 • 51min
Building a Deep Tech Startup in NLP with Nasrin Mostafazadeh - #539
Nasrin Mostafazadeh, co-founder of Verneek, shares insights on simplifying data-informed decision-making through innovative human-machine interfaces. They discuss how personal challenges during the pandemic shaped their entrepreneurial journey. Nasrin highlights the complexities of defining a minimum viable product in NLP and the need for user-friendly AI interactions. She also emphasizes the importance of aligning research with market needs and refining technology to better understand user intent while navigating biases in AI.
7 snips
Nov 22, 2021 • 42min
Models for Human-Robot Collaboration with Julie Shah - #538
Julie Shah, a professor at MIT, specializes in interactive robotics. In this engaging discussion, she explains how robots can predict human behavior, vital for effective collaboration. Shah highlights her ambitious vision for a field robot that operates independently of human control. She also delves into the nuances of cross-training robots and humans for improved teamwork and the challenges of adapting to human unpredictability in dynamic environments. The conversation is a captivating glimpse into the future of human-robot partnerships.
Nov 18, 2021 • 58min
Four Key Tools for Robust Enterprise NLP with Yunyao Li - #537
In a lively discussion, Yunyao Li, a Senior Research Manager at IBM Research, tackles the intricacies of natural language processing in enterprise settings. She shares insights on productizing NLP, balancing customer needs with research rigor. Yunyao dives into the complexities of document discovery and the synergy of deep learning techniques. Highlighting the importance of human involvement, she discusses innovative data augmentation strategies to create high-quality datasets. Her unique perspective reveals how IBM empowers users to enhance AI transparency and accuracy.
Nov 15, 2021 • 1h 1min
Machine Learning at GSK with Kim Branson - #536
Kim Branson, SVP and global head of AI and machine learning at GSK, shares insights on leveraging machine learning in pharmaceuticals. He discusses the integration of genetics data for drug discovery and the impressive 500 billion node knowledge graph designed to mine scientific literature. Kim also highlights their recent collaboration with King’s College, focusing on personalized cancer research using AI. The conversation dives into the challenges of building scalable AI infrastructures and the critical need for robust evaluation programs in real-world applications.
