Struggling with leadership chaos in the age of data? In this episode of TCAST, host Jason Rigby welcomes Will Watrous—entrepreneur, EOS implementer, and former stressed-out CEO. Will shares his journey from a health crisis during 173% company growth to clarity and focus through the EOS model. Discover how data-driven leadership, accountability, and clear roles can transform any organization. Whether you’re a tech leader or a data enthusiast, this episode offers actionable insights to optimize team performance, reduce stress, and achieve sustainable growth. 🎧 Tune in and master data-driven leadership with clarity. 🔗 Connect with Will Watrous:         🌐 More Resources:                ⏱️ Episode Timestamps: 00:01 – Stress Breakdown: Will’s 173% growth nearly breaks him. 01:27 – Health Wake-Up Call: How stress symptoms became a leadership turning point. 03:48 – Accountability Chart: Clear roles reduce chaos and confusion. 05:44 – Visionary vs. Integrator: Why Will had to stop doing it all. 08:09 – Clarity Brings Action: The discipline of weekly accountability. 10:37 – Level 10 Meetings: Elevating team conversations from a 3 to a 10. 13:29 – Six Key Components: The EOS framework that made it all work. 17:29 – The Power of Rocks: 90-day focus creates momentum.  💬 Notable Quotes: “Clarity brings action. Complexity kills it.” – Will Watrous “When the visionary and integrator align, the team unlocks peace and power.” “If it’s human, it’s mentionable. If it’s mentionable, it’s manageable.”  🔍 Keywords: data-driven leadership, EOS system, accountability, executive burnout, leadership transformation, team alignment, TCAST, data ethics, business optimization  📣 Call to Action: Overwhelmed by leadership chaos in your data-driven organization? It’s time to transform your approach. Subscribe to TCAST now for insights on leadership, data ethics, and technology’s impact on business. Discover more at .

Unlock Clarity: Will Watrous' EOS System for Data-Driven Leadership

In this must-listen episode, Colin Graves from North Labs pulls back the curtain on how they're helping enterprises achieve tangible ROI in an astonishing 22 days. If you're struggling with slow digital transformation and want faster, smarter results from your big data and AI initiatives, this is for you. Don't miss Colin's expert insights and actionable strategies!  Modern enterprises drown in fragmented systems, disjointed processes, and siloed analytics—resulting in wasted investments and failed data initiatives. Colin Graves, CEO of North Labs, joins Alexander McCaig to break down why most companies miss the mark: focusing too much on technology and ignoring the human and process elements. North Labs' solution? A revolutionary approach centered on pre-built, industry-specific data models using techniques like Data Vault. This strategy dramatically cuts setup times and ensures insights in as little as 22 days—a staggering leap compared to traditional 12-month ROI timelines. Colin and Alexander dive into why foundational data unification must come before layering on AI or machine learning, how generative AI risks disastrous outcomes without holistic context, and why fast, tangible wins are critical to business buy-in. Whether you're struggling with ERP chaos, bad data, or endless digital transformation promises, this conversation is your blueprint for operational excellence and data ROI at warp speed.  External Links       Want real ROI—not empty promises? Subscribe to TCAST and learn how leaders like Collin Graves are flipping the script on digital transformation. Start unlocking real enterprise value today. Join our mission for ethical tech innovation—Subscribe now on your favorite podcast platform!

Decoding Data Chaos for Rapid Enterprise Growth.

In today's rapidly evolving tech world, the rise of AI-generated code promises unprecedented speed, but it also comes with a hidden trap: unsustainable, brittle systems that collapse under complexity. In this TCAST episode, Alexander McCaig sits down with Gilad Shoham, the visionary behind Bit.dev and Hope AI, to unpack why 90% of AI code will fail unless developers fundamentally change their approach. Shoham introduces the concept of composable programming—building software like Lego blocks rather than stitching fragile snippets together. By treating code as structured, reusable components rather than random lines, organizations can scale their development healthily and predictably. You'll discover how Hope AI redefines "code generation" as "code assembly," why traditional AI assistants are missing the mark, and how holistic code architecture can future-proof your projects. If you're serious about digital transformation and AI ethics, this is a must-listen conversation. 🔗 Resources&nbsp; Internal:         External:            Related Episode:  (TCAST episode)  &nbsp;Want to future-proof your software against AI-driven chaos? Subscribe to TCAST now and explore the real way to scale responsibly with AI. Visit  for more insights and discover how to lead the future of ethical technology. Your innovation journey starts today—don’t miss it! &nbsp;

AI-Generated Code: Why 90% Fails and How to Win

Découvrez les trois principaux types de stockage cloud expliqués : le stockage bloc, le stockage fichier et le stockage objet. Chaque type a ses propres atouts, limites et spécificités et répond à des cas d'usage spécifiques.

Stockage Cloud : Bloc, Fichier & Objet - Comprendre l'essentiel

Mix I made for The Music Trust podcast released on 1.22.2020.

Tracklist

1. Georgia - Started Out
2. The Flaming Lips - The W.A.N.D.
3. Phantogram - You Don’t Get Me High Anymore
4. Siouxsie and the Banshees - Kiss Them For Me
5. Meg Myers - Running Up That Hill
6. MGMT - Time To Pretend
7. Big Data - Dangerous
8. DJ Shadow Feat. Little Boots - Scale It Back (Party Ben Remix)
9. Kasabian - Days Are Forgotten (Z-Trip Remix)
10. SAULT - Don’t Waste My Time
11. KAYTRANADA/Kali Uchis - 10%
12. Haim - Falling
13. Naked Eyes - Promises, Promises
14. Annie Lennox - Walking On Broken Glass
15. Erasure - A Little Respect
16. Madonna - Express Yourself
17. Only Children - Whatcha Wanna
18. Robyn - Ever Again (Soulwax Remix)

The Music Trust Podcast aired 1.22.2020

Welcome to *AI with Shaily*! 🎙️ Hosted by Shailendra Kumar, this show dives deep into the fascinating world of artificial intelligence, bringing listeners the freshest and most exciting developments in the field. Today’s episode focuses on the revolutionary advancements in data science that are reshaping fraud detection, trends expected to lead the industry all the way through 2026. 🚀

Shailendra shares a compelling real-world story from fintech, where a cutting-edge fraud detection system stopped a scammer before any money was lost. The secret? Real-time, self-learning AI that adapts instantly by recognizing unusual patterns as they happen. Unlike traditional, static rule-based systems, this dynamic approach reduces false alarms and manual reviews, creating a faster and more effective shield against cybercrime. 🛡️💡 This innovation has banking and e-commerce sectors buzzing across social media platforms.

The discussion then moves to the power of deep learning and neural networks—described as the “brainy detectives” of AI. These sophisticated transformer models analyze vast, complex datasets to detect subtle fraudulent activities that were previously invisible. They can flag suspicious behavior early, stopping fraudsters in their tracks. Tech communities on LinkedIn and Reddit are abuzz with success stories showcasing how these AI tools are leveling the playing field across various industries. 🧠🔍

An intriguing twist highlights that fraud isn’t limited to just financial transactions—it also hides in language. Enter natural language processing (NLP), which enables AI to scan emails, chats, and even voice calls to spot social engineering and phishing attempts. This multi-channel fraud detection approach is gaining attention on Twitter and call center forums for its ability to catch fraud attempts in real time before they escalate. 🗣️📧🔐

Data integration plays a crucial role too. Combining diverse data sources—like transaction logs, user behavior, and external databases—builds a robust fraud detection fortress stronger than any single source alone. This integrated approach, backed by strong data governance, is a hot topic among data strategists on professional networks. After all, even the smartest AI can falter without clean, unified data. 📊🔗

To process this massive influx of data swiftly, scalable big data processing powered by GPUs is essential. Shailendra likens it to upgrading from a bicycle to a sports car for AI computations, enabling instant fraud detection even when analyzing millions of transactions per second. Cloud communities and AI enthusiasts are actively exchanging tips on optimizing this powerful technology. ⚡🚗💨

For AI practitioners and enthusiasts, Shailendra offers a bonus tip: prioritize flexibility and multi-channel analysis when developing or selecting fraud detection systems. Since fraudsters constantly evolve, defenses must evolve too—monitoring not just transactions, but conversations and behaviors as well. 🔄🎯

The episode closes with a thought-provoking question about balancing rapid fraud detection with fairness—how do we catch fraudsters quickly without wrongly accusing innocent users? Vigilance is vital, but so is justice. ⚖️🤔

Ending on an inspiring note, Shailendra quotes Alan Turing: “We can only see a short distance ahead, but we can see plenty there that needs to be done.” Fraud detection exemplifies this journey—remarkable progress has been made, yet the battle against fraudsters continues. 🖥️✨

Stay connected with Shailendra Kumar on YouTube, Twitter, LinkedIn, and Medium for more insightful AI discussions. Don’t forget to subscribe and share your thoughts—your engagement enriches the conversation. Until next time, keep questioning and keep innovating! 🔍🤖💬

AI Fraud Fighters: How Real-Time Learning and Big Data Are Beating Scammers Before They Strike

El Big Data ha emergido como una herramienta transformadora para las organizaciones modernas. 

Big Data como herramienta estratégica

Hoy vamos a explorar cómo una de las empresas más influyentes del mundo del streaming, Netflix, utiliza el Big Data para ofrecer experiencias personalizadas, y cuáles son los riesgos y principios éticos que implica su modelo de datos.

Privacidad y Ética en Big Data – Caso Netflix

Hoy exploraremos por qué la Visualización de Datos y las Herramientas para el Big Data son clave para la toma de decisiones en una empresa, cómo la inteligencia artificial la potencia y cuáles son las herramientas más útiles para los gerentes.

La Visualización de Datos y las Herramientas para el Big Data

BIG DATA : c'est la critique d’un monde numérique, froid, contrôlé, et déshumanisé.

Ann'so M - Big Data-radio-edit

Unlock the secrets of data mastery with Shailendra, a 27-year veteran in AI, ML, and Data Science, driving AU$ 6 Billion in transformative value. As the author of 'Making Money out of Data,' their strategies redefine digital success. With expertise honed at IBM and Accenture, they drive innovation and data monetization. Explore how loyalty programs like Flybuys and Everyday Rewards revolutionize business—connect with Shaily today.

Site : http://www.annsom.com
Mail : emprod@gmail.com

Duo pop rock avec une pointe d'électro, Ann'so M écume les scènes depuis 2004 avec, au passage :
la Cigale, le Réservoir, la Scène Bastille, Le Cargö, l'Exo 7,le Petit Journal Montparnasse, et bien d'autres...
et aussi des premières parties comme celles de LUKE, DOLLY, BB BRUNES, MADEMOISELLE K, MAUSS, etc...
Annso au chant et au clavier, Olivier à la guitare et aux samples,ils nous jouent un bon pop-rock pas mou du genou du tout, chanté par une artiste en blouson de cuir qui fait un peu penser à une Pat Benatar française.
Après une collaboration avec Louis Bertignac et la sortie de 3 CDS, ils continuent de tourner dans toute l'Europe. 

06 65 05 36 73
emprod@gmail.com
http://www.annsom.com

TARTLE is a global personal data marketplace. Free to join, free to use. It is where humanity goes to get paid for their data.

For booking email: booking@claksaarb.com
For more live mixes & downloads: http://claksaarb.com


New tracks tagged #Big Data