Podcasts about zettabyte

Pietsch glaubt einem ganz großen Ding auf der Spur zu sein, denn er hat in Zeiten der Wohnungsknappheit ein Hintertürchen gefunden, um mehr Raummeter zu schaffen, zumindest im digitalen Sinne. Aber ist das wirklich gut? Schließlich hat doch jeder schon irgendwo Exabytes an Fotos längst überwundener Familien-Urlaube rumliegen. Gigabyte, Terabyte, Petabyte. Ob Magnet-Platte, optische Disc oder Flash-Speicher, allen ist eines gemein: Sie bieten soo viel Platz für sooo viele Daten. Natürlich alles wichtige Daten! Stephan lässt sich vom Strudel selbstdrehender Platten mitreißen und mutmaßt über Möglichkeiten der Hirn-Defragmentierung, bzw. einer wortwörtlich externen Zettabyte großen Auslagerungdatei, um im menschlichen Massenspeicher Platz für neuen Müll zu machen. Eines ist sicher: so oder so kommen jeden Tag etwa ein Exabyte „neue“ Daten dazu. Wenn nun also 1 Megabyte Daten auf etwa 500 Seiten DIN A4 passen …wie viele volle Badewannen sind das dann?!? Halbwissen² – Lieber erstmal nicht löschen! Tassenbestellungen, Tassenbestellungen und Tassenbestellungen an: halbwissenhoch2@gmail.com

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms V's of Big Data, Data Volume, Exabyte / Petabyte / Yottabyte / Zettabyte, Data Variety, Data Velocity, Data Veracity, explain how these terms relate to AI and why it's important to know about them. Show Notes: FREE Intro to CPMAI mini course CPMAI Training and Certification AI Glossary AI Glossary Series – DevOps, Machine Learning Operations (ML Ops) AI Glossary Series – Automated Machine Learning (AutoML) AI Glossary Series – Data Preparation, Data Cleaning, Data Splitting, Data Multiplication, Data Transformation AI Glossary Series – Data Augmentation, Data Labeling, Bounding box, Sensor fusion AI Glossary Series – Data, Dataset, Big Data, DIKUW Pyramid Continue reading AI Today Podcast: AI Glossary Series – V's of Big Data, Data Volume, Exabyte / Petabyte / Yottabyte / Zettabyte, Data Variety, Data Velocity, Data Veracity at Cognilytica.

Faut-il avoir peur de l'intelligence artificielle  ? Rencontre avec Rachid Guerraoui, spécialisé dans la recherche sur les algorithmes et la propagation de l'information à travers les réseaux, il a également initié le projet éducatif "Zettabyte" une série de vidéos développant les découvertes et les problèmes majeurs en informatique. Il est aussi professeur en informatique et en système de communication à l'EPFL.   

Olivier Dalle, CTO and General Director at INSPEERE shares insights on Zettabyte and B Tree Filesystems and how they can improve your overall data protection.

Jeden Tag steht deine Organisation vor einer Vielzahl von Entscheidungen. Und  die Komplexität von Entscheidungen nimmt in der schnelllebigen Zeit heute zu. Die Fähigkeit, schnell auf sich verändernde Märkte reagieren zu können, ist von größter Bedeutung für eine erfolgreiche Führung und die Richtung der Organisation. Doch warum ist das so? Laut International Data Corporation (IDC) wird dass das Volumen unstrukturierter Daten wie Bilder, E-Mails, Sprachaufzeichnungen von 33 Zettabyte in 2018 auf 175 Zettabyte in 2025 ansteigen. Unterschiedliche Faktoren erschweren die Entscheidungsfindung wie zum Beispiel unvollständige Informationen oder eine Informationsüberlastung. Zeitbeschränkungen können den Druck erhöhen und fördern Unsicherheit. Business Intelligence muss sich ändern. Der Trend geht hin zu besser konsumierbaren Daten und Analysen. Laut Gartner ist Decision Intelligence einer der strategischen Trends 2022. Doch wie und wo hilft hier KI und welche Auswirkungen hat das?Fragen rund um Decision Intelligence diskutieren wir mit Benjamin Doerwald, VP DACH & Nordics bei Pyramid Analytics.Link zum Fundstück der WocheOPITZ CONSULTING ■■■ Digitale Service ManufakturPyramid Analytics BI-Lösungen der nächsten Generation für moderne Unternehmen

Welcome to our extended finale for 2021! Andrew meets Alfred and makes a dangerous tweet, Jason goes on his own EOFY spending spree and Martin jacks in. Thanks for a great year, Hemisphereans! Hemispherry Christmas 00:00:00 Welcome Hemispheric Basketball Views

Reiseleiterin Inga Nobel rührt schon mal Astronautenkost an, bevor sie zur Zettabyte auf ihrem Flug in ferne Galaxien und zu einem Geräuschehändler schaltet, der unheimlichen grünen Besuch bekommt.

George Gilder talks to Robert J. Marks about his book Gaming AI: Why AI Can’t Think but Can Transform Jobs. Show Notes 00:00:45 | Introducing George Gilder 00:03:30 | Is AI a new demotion of the human race? 00:04:59 | The AI movement 00:06:39 | DeepMind and protein folding 00:11:42 | Code-breaking in World War II 00:13:50 | Interpreting between… Source

Die Einkaufsliste ist auf dem iPhone, bezahlt wird mit der Kreditkarte und die iWatch zählt nebenbei die verbrauchten Kalorien. Gleichzeitig telefoniere ich mit meiner Mutter. Im Supermarkt wird das vegane Schnitzel mit einem „piep“ gescannt und als verkauft gekennzeichnet. Ich bekomme einen Kassenzettel mit den Einkäufen und im Hintergrund wird die Warenwirtschaft aktualisiert. Es ist Samstag 18:23 Uhr. In den nächsten 34 Minuten werden 30 weitere Packungen der veganen Schnitzel verkauft. Mittwoch zur gleichen Zeit waren es 12 Packungen. In jeder Sekunde werden mehr Daten produziert, als unser Gehirn sich vorstellen kann. Im Jahr 2006 gab es weltweit 2,5 Zettabyte Daten. Im Jahr 2018 waren es 33 und bis 2025 sind 175 Zettabyte prognostiziert. Ein Zettabyte ist eine 1 mit 21 nullen. Einen echten Vergleich zu finden, um diese Menge in Relation zu stellen, scheint fast unmöglich. Mark Liberman hat im Jahr 2003 errechnet, dass alle zwischen dem Jahr 1800 und 2000 gesprochenen Worte der Menschheit 42 Zettabyte an Daten produziert haben. Alle laut ausgesprochenen Worte weltweit. Big Data ist mehr als ein Buzzword. Ohne Big Data gibt es kein Online Marketing.

In this episode we discuss local governments are blocked from competing as an ISP in 18 states, The Communications Workers of America (CWA) union is lobbying state governments to regulate Internet service providers as utilities, Seagate Shipped a 3 Zettabytes of Hard Drive, Huawei Plans to Launch 6G in 2030, US & UK officially blame Russian Government for SolarWinds cyber attack, Capcom blames an 'Old VPN Device' for a Ransomware Attack

#techradio Facebook blames YOU!; Google I/O; Apple Docs Reveal iMessage secret; PC Shipments high; Weird stuff on Mars; Seagate ships 3 Zettabyte Hard Drive; BOTW; Cellular home #5G internet; Fitbit blood pressure study; PC Spring Cleaning; Worst versions on Windows; Best on video Streaming  

Il caso delle prenotazioni dei dipendenti del San Paolo; nel 2025 genereremo 175 Zettabyte di dati all'anno; McKinsey lavora per Colao: che infrastrutture digitali avremo?; Password Manager; come gli studenti aggirano Proctorio; Facebook contro il revenge porn: tutti a caccia di Clubhouse; Jack Dorsey scatenato; Whatsapp ammazza Zoom?

The global data cloud is growing and doing so at an ever-increasing rate. In fact, it’s being predicted that the “global datasphere” is going to hit 175 zettabytes by 2025. How much is that? Enough for a few lifetimes of HD movies.  Naturally, as the datasphere gets larger, so does the task of managing and securing it all. We’ve remarked a few times in this space how cloud computing, while already growing before COVID, has exploded, driving the construction of new servers all over the country and the increased adoption of new cloud-based programs like Zoom, which has gone from obscurity to a household name nearly overnight.  The rise of the cloud has also created opportunities for those with an entrepreneurial spirit. Without the need to develop and maintain massive server racks themselves, a startup with access to a desk and a laptop can compete in a number of different spaces that would have been impossible before. Now someone in a developing country can access cloud computing resources to develop a new program and use another resource to develop an app that will allow anyone anywhere with a data connection to make use of that program. This fact has led to the rise of many of these kinds of startups which in turn have been one of the major factors driving the increase in data usage.  While this has created certain challenges, the benefits have been clear. Cloud computing allows companies to scale up or down quickly as needed. Rather than having tons of electricity-sucking servers stored in the basement that may be too much or not enough from one week to the next depending on the projects going on at the time they can easily scale up or down based on demand. That saves a lot of money since you only have to pay for the server space you actually need at any given time. You need less, you pay less. You need more, you pay more for only as long as you will actually make use of it, instead of buying all that equipment for what is only a temporary need.  In terms of the challenges, security is probably the most significant. Yet, elegant solutions have been developed in that realm. Private companies and even individuals are able to access encryption that would give the NSA a hard time. Yet, a simple password can decrypt it so that you and whoever you want to share it with can access your information with ease.  That’s the basic model that TARTLE uses. Our data marketplace is hosted in the cloud, using encryption that protects your data in such a way that only you and whomever you sell it to (or choose to share it with, whichever you choose) can access it easily. This creates a balance between security and fluidity that everyone can benefit from.  Normally, we talk about how our system is something that individuals can financially benefit from. However, there is no reason companies can’t benefit from selling or sharing data in the TARTLE data marketplace as well. After all, it is guaranteed that someone out there would benefit from incorporating your data into their models, and vice versa. Companies that join TARTLE as sellers and buyers could arrange a mutual exchange of data that would allow both of them to improve their operations, which they could then learn to better interact with the individual sellers of TARTLE to further refine their data sets.  This creates a snowball effect in which data begets more data. However, rather than just piling up uselessly in a server somewhere it is constantly getting analyzed and refined and used ever more efficiently to drive more efficient businesses which in turn can lead to better lives for their employees and their customers.  What’s your data worth? www.tartle.co

Il caso delle prenotazioni dei dipendenti del San Paolo; nel 2025 genereremo 175 Zettabyte di dati all’anno; McKinsey lavora per Colao: che infrastrutture digitali avremo?; Password Manager; come gli studenti aggirano Proctorio; Facebook contro il revenge porn: tutti a caccia di Clubhouse; Jack Dorsey scatenato; Whatsapp ammazza Zoom?

Laut IDC wird die weltweit generierte Datenmenge von geschätzten 33 Zettabyte im Jahr 2018 auf 175 Zettabyte im Jahr 2025 steigen. Schon heute sind die Daten der Unternehmen weit verstreut, mit steigender Tendenz. Warum kommt es zur Datenfragmentierung, was sind die Folgen, was kann man dagegen tun? Das Interview von Oliver Schonschek, Insider Research, mit Wolfgang Huber von Cohesity liefert Antworten.

George Gilder and Robert J. Marks discuss the human brain, superintelligent machines, artificial intelligence, and George Gilder’s new book Gaming AI: Why AI Can’t Think but Can Transform Jobs (which you can get for free here). Show Notes 00:29 | Introducing George Gilder 01:00 | An “Indian summer” in AI? 03:45 | Superintelligence 06:04 | The future of computing technology… Source

George Gilder and Robert J. Marks discuss the human brain, superintelligent machines, artificial intelligence, and George Gilder’s new book Gaming AI: Why AI Can’t Think but Can Transform Jobs (which you can get for free here). Show Notes 00:29 | Introducing George Gilder 01:00 | An “Indian summer” in AI? 03:45 | Superintelligence 06:04 | The future of computing technology… Source

"In God we trust. All others must bring data." hat mal William Edwards Deming gesagt. Ob er ahnte, von welchen Dimensionen wir inzwischen sprechen? Dokumente, Bilder oder IoT-Sensor-Daten - das explosionsartige Wachstum unstrukturierter Daten erfordert eine andere Art, wie wir Daten speichern, um sie effektiver zu archivieren, verwalten und auszuwerten. Die Menschheit produziert inzwischen mehr unstrukturierte Datensätze, als wir Sterne im Universum beobachten können, zitiert unser Gast Norbert Deuschle von Storage Consortium. Zusammen mit Stefan Ehmann von Hitachi Vantara, werfen wir einen detaillierteren Blick auf die Welt der Objektspeicher.

Remember when a hard drive that could hold a terabyte of data was a big deal? Well, we’re now in an era where peta-, exa- and even zetta-bytes are the bytes of the day, and it turns out it’s hard to fit that many zeroes on a hard drive. That’s where Dr. Ant Rowstron, Deputy Lab Director of Microsoft Research Cambridge, and Mark Russinovich, Chief Technical Officer of Azure, come in. Their respective teams are working on paradigm-breaking solutions to give us phenomenal storage power in an itty-bitty living space. Today, Ant and Mark discuss their roles in the development of new optical technologies, like Project Silica, for cloud-scale storage demands, and talk about the Optics for the Cloud Research Alliance, an exciting new collaboration between academic researchers and MSR. They also explain how just the right mix of innovation and engineering can make the cloud more powerful and less expensive to use and, at the same time, deliver “forever” storage that’s both dishwasher and microwave safe! https://www.microsoft.com/research

7 out of 10 of the most valuable companies are platforms. What companies have leveraged their platforms well? Platforms represent a big change in the way industries have traditionally been organized. Succes today, scalable profitability in a Zettabyte space, is about being a platform, according to Francis McInerney, Managing Director of North River Ventures. The question is what company should be a platform and isn’t? Listen to this podcast to learn more about platforms and business growth.

Here is my latest mix everyone. Also super excited to share that my "Zettabyte Records" sister label "Get Vibes" is launching tomorrow. The new label is designed to complement and to contrast Zettabyte, with colorful lush deep vibrant sounds, and chill vibes. Are you a deep house / deep tech / chill bass / chill trap music producer ? Send me your demo. Both labels always make it a priority to give a voice to new artists and local talent. Track listing for this episode: 1. A King Coded (Tis Remix) by Benno Block 2. Phases (Toto Chiavetta Colour Zero) by Howling 3. Tap (Nose Panik Remix) by Alberto Ruiz, Rojan 4. Dream Catcher (Patryk Molinari Remix) by Valdovinos 5. Roomers (Original Mix) by Derek Marin, Juliet Fox   As always, thanks for your continous support!  

Paul and Doug discuss a new variant of Scarab, a remote code execution vulnerability in the XML parser, APIS post mushrooming security risk, and mastering security in the Zettabyte era. Full Show Notes: https://wiki.securityweekly.com/ES_Episode79 Visit http://securityweekly.com/esw for all the latest episodes!

Paul and Doug discuss a new variant of Scarab, a remote code execution vulnerability in the XML parser, APIS post mushrooming security risk, and mastering security in the Zettabyte era. Full Show Notes: https://wiki.securityweekly.com/ES_Episode79 Visit http://securityweekly.com/esw for all the latest episodes!

Paul and Doug discuss a new variant of Scarab, a remote code execution vulnerability in the XML parser, APIS post mushrooming security risk, and mastering security in the Zettabyte era. Full Show Notes: https://wiki.securityweekly.com/ES_Episode79 Visit http://securityweekly.com/esw for all the latest episodes!

Paul and Doug discuss a new variant of Scarab, a remote code execution vulnerability in the XML parser, APIS post mushrooming security risk, and mastering security in the Zettabyte era. Full Show Notes: https://wiki.securityweekly.com/ES_Episode79 Visit http://securityweekly.com/esw for all the latest episodes!

At FutureCreators, our mission is to help you unlock the key to scalable profitability: turning customer information into cash faster than your competition and do it at Zettabyte scale.    We help you measure your business' ability to scale profitably in the Zettabyte Era using key operating metrics. These metrics tell you immediately how close you are to your customer information and how to uncover huge pools of untouched cash, the lifeblood of your business. We want to see your business growing, profitable and cash rich.

At FutureCreators, our mission is to help you unlock the key to scalable profitability: turning customer information into cash faster than your competition and do it at Zettabyte scale.  We help you measure your business' ability to scale profitably in the Zettabyte Era using key operating metrics. These metrics tell you immediately how close you are to your customer information and how to uncover huge pools of untouched cash, the lifeblood of your business. We want to see your business growing, profitable and cash rich.

My record label (Zettabyte Records) collaborated with MNML:FUN, a local San Francisco monthly techno party held at Underground SF night club. We invited fellow California techno label bosses / A&R managers to spin on this particular line up. It was a damn fine party. Track listing: 1. Tricks (Original Mix) by Audiotrauma 2. Space Chamber (Original Mix) by DJ Dextro 3. Jack the ripper (Original Mix) by Nonyas 4. Windmills (Original MIx) by Lewis Delay 5. Minim (Original Mix) by Indeepend 6. Libra (Original Mix) by Pablo Santos 7. Solace (Original Mix) by Pan-Pot 8. Killingfloor (Original Mix) by Doctorminimal 9. Jazzy Organ (Davide Di Blasi Remix) by Regenschirm 10. Chemistry (Original Mix) by Pig&Dan 11. Ocho (Original Mix) by Gellert

Track listing: Cronica (Original Mix) by Lewis Delay Circuit (Original Mix) by Johnny Lux Extracted (Original Mix) by Dieter Dressner Boor (Original Mix) by Oscar Feroce Natural (Original Mix) by Arram Reinforcements ((Markarov_and_Steen_Remix)) by Hardmau