9.25 brushes on some homer topics (0:40), glances at TGFBI standings (4:37), scrutinizes decisions (5:30), reviews Max (20:45), and reviews Addison Barger (24:55)

Episode 9.25 - King of Disaggregate Analysis

9.26 predicts prices for prospects (0:38), glances at the TGFBI standings (2:55), scrutinizes the relationship between walk & strikeout rates (6:33), reviews Freddy Peralta (18:05), and reviews Christian Yelich (25:05).

Episode 9.26 - No More Preamble

9.27 bats around playoff predictions (0:40), glances at the TGFBI standings (4:27), bonds over Bond news (5:48), investigates the stolen bases scene (7:15), reviews Andy Pages (22:20), and reviews Yoshinobu Yamamoto (27:49).

Episode 9.27 - Concentrated Dose of Stolen Bases

9.28 bats around some MLB topics (0:40), notes TGFBI stagnation (5:14), investigates the hanging curve (5:50), reviews Jeremiah Jackson (21:28), and reviews Trevor Rogers (26:31).

Episode 9.28 - One Sympathizes

9.29 bats around the Guardians surge (0:40), tosses around some Kershaw news (1:52), scrutinizes the TGFBI standings (5:05), spots some Starfighter images (6:03), conducts a fantasy playoff matchup case study (7:02), reviews Bryce Harper (20:44), and reviews Walker Buehler (30:36).

Episode 9.29 - How is he that old?

Dr. Howard Friedman and Akshay Swaminathan present key insights from their award-winning book, Winning with Data Science: A Handbook for Business Leaders.

Whether you’re an MBA graduate or a Fortune 500 project manager, data science is vital to your career. Winning with Data Science offers a practical, jargon-free guide to working effectively with data science teams. Through engaging stories and clear explanations, Howard Steven Friedman and Akshay Swaminathan show how to manage projects, ask the right questions, and unlock real business value. A must-read for anyone collaborating with data scientists.

This podcast is brought to you by Global Management Consultancy. For more information, please visit www.globalmanagementconsultancy.com.

Disclaimer:

A. The background music used in this video is the property of its respective developer and is protected by Copyright. Although it is a free version, Business Talk, Global Management Consultancy and Deepak Bhatt do not hold the rights to this music.

B. Dr. Howard Friedman and Akshay Swaminathan generously shared profound insights from their book, “Winning with Data Science: A Handbook for Business Leaders,” during their appearance on the Business Talk podcast. The uploaded video contains copyrighted material; therefore, any modifications to graphics, music, or the presence of the author or host are strictly prohibited.

Winning with Data Science: Practical Strategies for Leaders

9.30 finds the Guardians in the playoff chase (0:38), peeks at the TGFBI standings (3:09), rides the Slow Horses (3:38), analyzes the fullish season TGFBI category numbers (5:24), reviews Brayan Rocchio (20:11), and reviews Tanner Bibbee (26:05)

Episode 9.30 - 7,000 ABs

שלי שמורק אירחה את ניר סולומון
דיברנו על איך מנהלי מוצר צריכים לעבוד עם כלי וייב קודינג:
❌ להפסיק ליצר דמואים נוצצים שלא מגיעים לפרודקשן ואין בהם צורך אמיתי
❌ להפסיק לחשוב שוייב קודינג יכול להחליף עבודת מוצר והבנה עמוקה
❌ לנהל את ה- FOMO האירגוני ולדחוף לעבודה שמביאה ערך

תפקיד מנהלי המוצר: 
✅ להבטיח שהטכנולוגיה משרתת את היעדים העסקיים – ולא להפך
✅ להשתמש ב-AI כדי לחזק תהליכים קיימים, לא כדי להמציא יכולות סביב הטכנולוגיה שאין בהם ערך למשתמש

297 - The PM Vibe Coding Trap (Feat. Nir solomon)

O assunto discutido aqui é sobre o desenvolvimento e a operacionalização de um pipeline robusto de Data Science focado na detecção não supervisionada de anomalias para enfrentar o risco de desvios e fraudes que se amplificou com a escalada do volume e da complexidade das ordens de serviço (OS) em garantia na indústria de linha branca. O objetivo central deste trabalho foi ranquear as ordens de serviço abertas pelo seu grau de anomalia, uma tarefa que exigiu a integração e higienização de cinco bases de dados corporativas e uma engenharia de atributos (features) comportamentais e contextuais extremamente detalhada, para capturar desvios sutis que se desviem do padrão histórico "normal". O algoritmo Isolation Forest (IForest) foi treinado em um espaço de 24 Componentes Principais (PCs), gerando um escore contínuo de anomalia para cada caso, o que fornece um mecanismo robusto para priorizar auditorias no pós-vendas, aumentar a eficiência da triagem de casos críticos e, assim, mitigar perdas e riscos operacionais.

INOV 006 | DataScience - Detecção de anomalias no pós-vendas da industria

9.31 bats around the first round of the MLB ‘25 playoffs (0:43), walks through a quiz on 2025 MLB full season (5:27), reviews Hunter Brown (21:53), and reviews Jose Altuve (28:19).

Episde 9.31 - Easy Grader

To quote Dr. Evil, "The details of our lives are quite inconsequential." What's important is that we like fantasy, as it applies to the genre and the game derived from baseball statistics. We also enjoy developing analytical and computational “tools” for supporting the latter habit. Our goal is to share our fantasy baseball tools with a little help from the fantasy genre for context, allusion, and (fire and) ice breaking. In doing so, we hope to broaden the way our audience approaches fantasy baseball. Our podcast presents our methods to the public in the spirit of OpenSource - through freely helping others we promote active conversation that improves our tools.

Welcome to Business Talk, your go-to podcast for the latest trends, insights, and thought-provoking discussions in the business world. Whether you're a business professional, entrepreneur, researcher, or academic, our episodes will challenge you to rethink conventional wisdom and inspire actionable ideas.

Brought to you by Global Management Consultancy, we are committed to driving innovation and excellence in the business community. All content Copyrighted 2024 by Global Management Consultancy.

For more information about our past and upcoming podcasts, please click here:https://www.deepakbbhatt.com/businesstalk

Além de especialista em OKR e BSC é gestor de TI e cientista de dados, com mais de 14 anos conectando tecnologia a planejamento estratégico, indicadores e resultados. Lidera times multidisciplinares (Infra, BI, SAP, RPA e Processos), estruturando Data Lake, pipelines de BI e KPIs executivos para decisão ágil. É criador da plataforma PlanningBI, que integra OKR + BSC para alinhar metas, executar com governança e medir impacto. Ao longo da carreira, automatizou rotinas críticas, reduziu horas manuais e elevou a performance operacional e financeira, sempre com foco em previsibilidade e ROI.

New tracks tagged #datascience