Practical AI
Practical AI LLC
Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more).
The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!
The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!
Episodes
Mentioned books
14 snips
Oct 5, 2021 • 38min
The mathematics of machine learning
Tivadar Danka, an educator and content creator in machine learning, dives into how high school math connects to neural networks in this enlightening discussion. He shares his personal journey from academia to practical teaching, illuminating the relevance of calculus, linear algebra, and probability in machine learning. The conversation emphasizes the challenges learners face in grasping these concepts while fostering motivation through real-world applications. Danka also discusses his interactive book aimed at making these crucial theories accessible and engaging for newcomers.
Sep 28, 2021 • 42min
Balancing human intelligence with AI
Discover the fascinating world of balancing human and artificial intelligence! The discussion reveals how the Polarity Mapping framework aids organizations in integrating AI while preserving human oversight. Learn about the essential role of trust in AI interactions and how empathy shapes effective technology. Explore the synergy in tasks like translation, where collaboration between human creativity and AI's focused capabilities leads to better outcomes. Dive into the significance of aligning AI strategies with genuine human needs for optimal solutions!
10 snips
Sep 21, 2021 • 48min
From notebooks to Netflix scale with Metaflow
Ville Tuulos, CEO at Outer Bounds and former leader of data science at Netflix, shares his insights on scaling AI and ML workflows. He discusses the evolution of data science infrastructure and the creation of Metaflow, highlighting its role in addressing common frustrations in data workflows. Ville emphasizes the importance of experimentation in successful AI integration and the changing skill sets needed in the industry. He also explores the future of data science infrastructure and the promise of enhanced integration between machine learning tools.
Sep 14, 2021 • 45min
Trends in data labeling
Michael Malyuk from the Label Studio team shares insights on the evolving landscape of data labeling. He emphasizes how organizations are now viewing labeling as a strategic asset. The discussion touches on the influence of the pandemic on labeling practices and the significance of quality metrics. Malyuk also explores advancements in open-source tools like Label Studio, highlighting features that support various data types. The conversation wraps up with thoughts on the future of labeling, including the integration of human oversight and exciting new capabilities like video.
Sep 7, 2021 • 42min
Stellar inference speed via AutoNAS
Yonatan Geifman, CEO of Deci, dives into the cutting-edge world of AI inference optimization. He shares insights on building fast, effective deep learning models tailored for various hardware, emphasizing the importance of designing models with inference requirements in mind. Discussions include unique techniques like pruning and quantization, the role of AutoNAC in optimizing neural architectures, and how DESI nets elevate performance in image classification tasks. Buckle up for a high-speed journey through AI advancements!
Sep 1, 2021 • 43min
Anaconda + Pyston and more
Joining the conversation is Peter Wang, a key figure at Anaconda specializing in data science technology. He discusses the latest findings from the 'State of Data Science' survey, revealing how the pandemic reshaped data science practices and job roles. Peter also introduces Anaconda's exciting partnership with Pyston, which aims to enhance Python performance. The dialogue dives into challenges data scientists face today, including model deployment hurdles, and the ongoing evolution of tools in this dynamic field.
Aug 24, 2021 • 44min
Exploring a new AI lexicon
Dive into lively discussions about a fresh AI lexicon that challenges conventional narratives. The speakers humorously reflect on personal experiences during the pandemic, while also exploring AI's recent advancements like GitHub Copilot. They tackle the differences between practical machine learning and marketing-driven AI perceptions. Misconceptions around AI are demystified, framing it in relatable terms. Lastly, ethical concerns in tech—like function creep—are considered, along with accessible resources to help navigate this evolving landscape.
Aug 17, 2021 • 44min
NLP to help pregnant mothers in Kenya
Jay Patel and Sathy Rajasekharan from Jacaranda Health share their mission to revolutionize maternal care in Kenya using AI-powered NLP solutions. They discuss the alarming maternal mortality rates and how SMS technology helps prioritize urgent messages from pregnant mothers. The duo explores the challenges of data labeling and collaboration in developing effective communication platforms. They also highlight the importance of navigating Kenya's linguistic diversity to enhance health responses, ultimately aiming to ensure safe childbirth and newborn care.
Aug 10, 2021 • 48min
SLICED - will you make the (data science) cut?
Join hosts Meg Risdal, a Kaggle expert and co-host of SLICED, and Nick Wan, who brings the heat from Twitch, as they dive into the thrilling world of competitive data science. Discover how SLICED creates a vibrant community that merges coding with entertainment. They share insights on unique datasets, the pressure of live coding competitions, and the adrenaline of algorithmic showdowns. Plus, hear about exciting upcoming championships and how contestants evolve into confident data scientists through these challenges.
Aug 3, 2021 • 45min
AI is creating never before heard sounds! 🎵
In this engaging discussion, Yotam Mann, co-founder of Never Before Heard Sounds and innovator in AI audio technology, reveals how machine learning is reshaping music creation. He shares insight on transforming voices into musical instruments and the groundbreaking Holly Plus technology for personalized vocal models. Yotam highlights challenges in real-time audio processing and emphasizes the ethical dimensions of AI in music, including artists' rights and the industry's future with AI-enhanced live performances.
