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

CONVERSACION ACERCA DE BIG DATA Y SUS CARACTERISTICAS

Big_Data_Desmitificado__Las_5_V_y_el_Impacto_Real_en_Negocios_y

Conversación sobre big data y las 5 V que la caracterizan.

Big Data. Desmitificado las 5 V y el Impacto real en los negocios

What is the opposite of “big” data? In a society where households commonly store personal archives of photos, financial records, and other documents, the “little” database—the personal data collection that is stored and backed up and not accessed frequently—deserves a category of its own. In The Little Database: A Poetics of Media Formats, Daniel Scott Snelson examines globally accessible little databases, such as Textz, Eclipse, and UbuWeb, explores how digital archives dramatically transform the artifacts they host, and asks how they might help us better understand our own private collections in turn. Snelson is joined in conversation with Vicki Bennett, Craig Dworkin, and Luca Messarra. 


Daniel Scott Snelson is a writer, editor, archivist, and assistant professor in the departments of English and Design Media Arts at UCLA, where he also serves as faculty with the Digital Humanities Program, the UCLA Game Lab, and the Laboratory for Environmental Narrative Strategies. He is author of multiple volumes of experimental poetry and poetics, including Elden Poem, Apocalypse Reliquary, and EXE TXT.

Vicki Bennett is a multidisciplinary British artist working under the name People Like Us. 

Craig Dworkin is professor of English at the University of Utah.

Luca Messarra is a PhD candidate in English at Stanford University, and founder of Undocumented Press.


EPISODE REFERENCES:
Alan Liu, Local Transcendence: Essays on Postmodern Historicism and the Database
Jerome McGann and Lisa Samuels, “Deformance and Interpretation" (chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://raley.english.ucsb.edu/wp-content/Engl800/Deformance.pdf)
We Edit Life, film (People Like Us/Vicki Bennett; partnership with Lovebytes)
Vanishing Culture: A Report on Our Fragile Cultural Record (Internet Archive, 2024, eds. Luca Messarra, Chris Freeland, Juliya Ziskina)
Eclipse, an image-based archive of small press poetry books and magazines
PennSound, a site distributing audio recordings of poetry readings
UbuWeb, a collection of experimental film and video art
Allen Institute for AI
C4/Colossal Clean Crawled Corpus
Christopher Kelty, "The Internet We Could Have Had"
L=A=N=G=U=A=G=E magazine (ed. Charles Bernstein and Bruce Andrews)
L≠A≠N≠G≠U≠A≠G≠E magazine (ed. Danny Snelson)
Christian Marclay, The Clock
Johanna Drucker
Memory of the World archive
Future Knowledge podcast
Rory McCartney and Charlie Morgan, Heated Words: Searching for a Mysterious Typeface 
Marcus Boon, In Praise of Copying 


Praise for the book:
“The Little Database is an incredibly powerful intervention into twenty-first-century experimental poetics and avant-garde media practices.”
—Stephanie Boluk


“The Little Database opens new ground for close reading in an environment that heavily promotes big data techniques and the neoliberal ideologies that accompany it in the new economy of attention.”
—Leonardo Reviews

“Snelson targets the fundamental assumption underlying much of contemporary DH work: that meaningful interpretation necessarily depends on the deployment of massive amounts of data.”
—Oxford's Year's Work in Critical and Cultural Theory

“This book, while short in length, is certain to be long in influence, as it lays groundwork for future scholars, artists, readers, website makers, and archivists. The twists and turns, both in methodology and in specific analyses, are far more exciting than any summary, or even multiple readings of them, could serve.”
—Digital Humanities Quarterly



The Little Database: A Poetics of Media Formats by Daniel Scott Snelson is available from University of Minnesota Press. An open-access edition is available at Manifold.

The digitized afterlives of cultural objects.

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

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


New tracks tagged #big data