Podcasts about Dark data

www.iotusecase.com#ENERGIEDATEN #TANKBELADUNG #ANOMALIEERKENNUNGIn dieser Episode geht es um Digitalisierung und IoT im Kontext von Tankbeladung und Anlagenüberwachung. Die Diskussion dreht sich um Retrofit-Lösungen, das Management von Energiedaten und die Nutzung bisher unzugänglicher “Dark Data”. Gemeinsam mit WAGO und AVEVA werden hier Herausforderungen und Lösungsansätze zur Optimierung von industriellen Prozessen beleuchtet. Zusammenfassung der Podcastfolge Wolfgang Laufmann, Business Developer Smart Factory bei WAGO, und Hans Otto Weinhold, Principal Solution Architect bei AVEVA, sprechen über die Herausforderungen und Lösungen zur Digitalisierung von Bestandsanlagen. Im Fokus steht dabei, wie Unternehmen mit Retrofit-Lösungen und modernen IoT-Technologien bisher ungenutzte Datenquellen – sogenannte „Dark Data“ – erschließen können.Ein zentraler Use Case ist die Optimierung von Tankbeladung und -überwachung. Hier werden mit Technologien wie dem WAGO I/O-System und dem AVEVA PI System Daten aus bestehenden Anlagen erfasst, sicher übertragen und in ERP- oder Cloud-Systemen integriert. Sicherheitsmechanismen wie Kameras zur Anomalieerkennung gewährleisten dabei ein hohes Maß an Betriebssicherheit.Durch die Kombination von modularer Hardware und flexiblen Schnittstellen wird die Brücke zwischen OT- und IT-Welten geschlagen, was nicht nur die Effizienz steigert, sondern auch Kosten spart und die manuelle Arbeit deutlich reduziert. Kunden profitieren zudem von schnell verfügbaren KPIs und einer verbesserten Datennutzung, die eine fundierte Entscheidungsfindung ermöglicht.Die Gäste betonen, dass solche Nachrüstlösungen es Unternehmen erlauben, Pilotprojekte mit geringem Budget zu starten und bei Erfolg schrittweise zu erweitern. Der Ausblick zeigt, dass WAGO und AVEVA künftig vorgefertigte Lösungspakete anbieten möchten, um IoT-Implementierungen noch einfacher und schneller zu realisieren. Mit diesem Ansatz wird nicht nur die Anlagenverfügbarkeit optimiert, sondern auch die Grundlage für langfristige digitale Innovationen geschaffen. -----Relevante Folgenlinks:Madeleine (https://www.linkedin.com/in/madeleine-mickeleit/)Wolfgang (https://www.linkedin.com/in/wolfgang-laufmann-047897144/)Hans Otto (https://www.linkedin.com/in/hans-otto-weinhold-641b2b192/)Jetzt IoT Use Case auf LinkedIn folgen

Ben Matthews is a general partner at Night Ventures, an early-stage consumer VC fund, focused on culture, community, and creators. They have partnered with some of the most famous people on the internet including Mr. Beast, Kai Cenat, and Hasan Piker.In this episode of DTC Pod, Ben and Blaine discuss:Lessons from incubating and investing in early-stage consumer companiesThe key elements of successful talent-driven brands, including audience fit and long-term commitmentChoosing the right business opportunities based on market potential and operational feasibilityStructuring effective partnerships between creators, operators, and investorsThe future of TikTok and emerging monetization avenues for content creatorsInteract with other DTC experts and access our monthly fireside chats with industry leaders on DTC Pod Slack.On this episode of DTC Pod, we cover:1. Business Launch and Growth2. Talent-Driven Brands3. Challenges in Creator Partnerships4. Creator-Audience Relationship5. Employment Trends and AI Impact6. Content Commerce Trends7. TikTok's Future and Market Impact8. Elements of Business Success9. Incentive Structure in Partnerships10. Importance of Having an Audience11. Monetization Opportunities for CreatorsTimestamps00:00 Ben Matthew's background and Night Ventures06:05 Building business with talent: the case of Mr. Beast10:54 What works in creator-brand partnerships15:25 Picking the right talent to represent a brand19:42 Picking the right business and products23:01 Incubating early-stage consumer companies30:07 Investing in early-stage consumer companies33:03 Future trends in the creator-commerce space35:19 Future trends in the content creator landscapeShow notes powered by CastmagicPast guests & brands on DTC Pod include Gilt, PopSugar, Glossier, MadeIN, Prose, Bala, P.volve, Ritual, Bite, Oura, Levels, General Mills, Mid Day Squares, Prose, Arrae, Olipop, Ghia, Rosaluna, Form, Uncle Studios & many more.  Additional episodes you might like:• #175 Ariel Vaisbort - How OLIPOP Runs Influencer, Community, & Affiliate Growth• #184 Jake Karls, Midday Squares - Turning Your Brand Into The Influencer With Content• #205 Kasey Stewart: Suckerz- - Powering Your Launch With 300 Million Organic Views• #219 JT Barnett: The TikTok Masterclass For Brands• #223 Lauren Kleinman: The PR & Affiliate Marketing Playbook• ​​​​#243 Kian Golzari - Source & Develop Products Like The World's Best Brands-----Have any questions about the show or topics you'd like us to explore further?Shoot us a DM; we'd love to hear from you.Want the weekly TL;DR of tips delivered to your mailbox?Check out our newsletter here.Projects the DTC Pod team is working on:DTCetc - all our favorite brands on the internetOlivea - the extra virgin olive oil & hydroxytyrosol supplementCastmagic - AI Workspace for ContentFollow us for content, clips, giveaways, & updates!DTCPod InstagramDTCPod TwitterDTCPod TikTok  Ben Matthews - General Partner at Night VenturesBlaine Bolus - Co-Founder of CastmagicRamon Berrios - Co-Founder of Castmagic

This week, Apple drop an unexpected new iPad plus we have the new Kindle and Android OS. In other big stories, big tech plans to power AI with their own nuclear reactors, Spotify has a problem with fake albums and we learn about the murky world of Dark Data with Phil Wilkinson of Iotics.

Data storing is an important part of our working lives. As long as you use a computer regularly, you'd have to store data one way or another. Much of this stored data is used only once before it goes to the archives, where it continues to take up space and resources. “Dark data” refers to the vast amount of unstructured and untapped information that organisations collect but do not actively analyse or utilise. This poses a critical risk with AI adopted as a potent weapon in arsenals of cybercriminals. How do we illuminate dark data and turn it into a goldmine? Eric Kong, Managing Director of unified identity security firm SailPoint, sheds some light on making dark data work for businesses.  See omnystudio.com/listener for privacy information.

There is no shortage of books on the growing impact of data collection and analysis on our societies, our cultures, and our everyday lives. David Hand's new book Dark Data: Why What You Don't Know Matters (Princeton University Press, 2020) is unique in this genre for its focus on those data that aren't collected or don't get analyzed. More than an introduction to missingness and how to account for it, this book proposes that the whole of data analysis can benefit from a "dark data" perspective—that is, careful consideration of not only what is seen but what is unseen. David assembles wide-ranging examples, from the histories of science and finance to his own research and consultancy, to show how this perspective can shed new light on concepts as classical as random sampling and survey design and as cutting-edge as machine learning and the measurement of honesty. I expect the book to inspire the same enjoyment and reflection in general readers as it is sure to in statisticians and other data analysts. Suggested companion work: Caroline Criado Perez, Invisible Women: Data Bias in a World Designed for Men. Cory Brunson (he/him) is a Research Assistant Professor at the Laboratory for Systems Medicine at the University of Florida. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

There is no shortage of books on the growing impact of data collection and analysis on our societies, our cultures, and our everyday lives. David Hand's new book Dark Data: Why What You Don't Know Matters (Princeton University Press, 2020) is unique in this genre for its focus on those data that aren't collected or don't get analyzed. More than an introduction to missingness and how to account for it, this book proposes that the whole of data analysis can benefit from a "dark data" perspective—that is, careful consideration of not only what is seen but what is unseen. David assembles wide-ranging examples, from the histories of science and finance to his own research and consultancy, to show how this perspective can shed new light on concepts as classical as random sampling and survey design and as cutting-edge as machine learning and the measurement of honesty. I expect the book to inspire the same enjoyment and reflection in general readers as it is sure to in statisticians and other data analysts. Suggested companion work: Caroline Criado Perez, Invisible Women: Data Bias in a World Designed for Men. Cory Brunson (he/him) is a Research Assistant Professor at the Laboratory for Systems Medicine at the University of Florida. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science

There is no shortage of books on the growing impact of data collection and analysis on our societies, our cultures, and our everyday lives. David Hand's new book Dark Data: Why What You Don't Know Matters (Princeton University Press, 2020) is unique in this genre for its focus on those data that aren't collected or don't get analyzed. More than an introduction to missingness and how to account for it, this book proposes that the whole of data analysis can benefit from a "dark data" perspective—that is, careful consideration of not only what is seen but what is unseen. David assembles wide-ranging examples, from the histories of science and finance to his own research and consultancy, to show how this perspective can shed new light on concepts as classical as random sampling and survey design and as cutting-edge as machine learning and the measurement of honesty. I expect the book to inspire the same enjoyment and reflection in general readers as it is sure to in statisticians and other data analysts. Suggested companion work: Caroline Criado Perez, Invisible Women: Data Bias in a World Designed for Men. Cory Brunson (he/him) is a Research Assistant Professor at the Laboratory for Systems Medicine at the University of Florida.

There is no shortage of books on the growing impact of data collection and analysis on our societies, our cultures, and our everyday lives. David Hand's new book Dark Data: Why What You Don't Know Matters (Princeton University Press, 2020) is unique in this genre for its focus on those data that aren't collected or don't get analyzed. More than an introduction to missingness and how to account for it, this book proposes that the whole of data analysis can benefit from a "dark data" perspective—that is, careful consideration of not only what is seen but what is unseen. David assembles wide-ranging examples, from the histories of science and finance to his own research and consultancy, to show how this perspective can shed new light on concepts as classical as random sampling and survey design and as cutting-edge as machine learning and the measurement of honesty. I expect the book to inspire the same enjoyment and reflection in general readers as it is sure to in statisticians and other data analysts. Suggested companion work: Caroline Criado Perez, Invisible Women: Data Bias in a World Designed for Men. Cory Brunson (he/him) is a Research Assistant Professor at the Laboratory for Systems Medicine at the University of Florida. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/economics

There is no shortage of books on the growing impact of data collection and analysis on our societies, our cultures, and our everyday lives. David Hand's new book Dark Data: Why What You Don't Know Matters (Princeton University Press, 2020) is unique in this genre for its focus on those data that aren't collected or don't get analyzed. More than an introduction to missingness and how to account for it, this book proposes that the whole of data analysis can benefit from a "dark data" perspective—that is, careful consideration of not only what is seen but what is unseen. David assembles wide-ranging examples, from the histories of science and finance to his own research and consultancy, to show how this perspective can shed new light on concepts as classical as random sampling and survey design and as cutting-edge as machine learning and the measurement of honesty. I expect the book to inspire the same enjoyment and reflection in general readers as it is sure to in statisticians and other data analysts. Suggested companion work: Caroline Criado Perez, Invisible Women: Data Bias in a World Designed for Men. Cory Brunson (he/him) is a Research Assistant Professor at the Laboratory for Systems Medicine at the University of Florida. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science-technology-and-society

There is no shortage of books on the growing impact of data collection and analysis on our societies, our cultures, and our everyday lives. David Hand's new book Dark Data: Why What You Don't Know Matters (Princeton University Press, 2020) is unique in this genre for its focus on those data that aren't collected or don't get analyzed. More than an introduction to missingness and how to account for it, this book proposes that the whole of data analysis can benefit from a "dark data" perspective—that is, careful consideration of not only what is seen but what is unseen. David assembles wide-ranging examples, from the histories of science and finance to his own research and consultancy, to show how this perspective can shed new light on concepts as classical as random sampling and survey design and as cutting-edge as machine learning and the measurement of honesty. I expect the book to inspire the same enjoyment and reflection in general readers as it is sure to in statisticians and other data analysts. Suggested companion work: Caroline Criado Perez, Invisible Women: Data Bias in a World Designed for Men. Cory Brunson (he/him) is a Research Assistant Professor at the Laboratory for Systems Medicine at the University of Florida. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/finance

Dans cet épisode, nous allons parler de dark data, notamment dans la fonction RH.

Title: Rylti's Quest: Shining a Light on the Dark Data Within Your Company Guests: Peter Fiorillo, Co-Founder and CEO Lawrence Baisch, CTO In this week's episode of Silicon Valley Insider, host Keith Koo welcomes Peter Fiorillo, Co-Founder and CEO, and Lawrence Baisch, CTO of RYLTI (pronounced "Royalty"), a company at the forefront of dark data discovery in corporations. Join us as we delve into how RYLTI is shining a light on the untapped potential of data within organizations, leveraging their biomimetic approach to advanced analytics. We'll explore the growing importance of digital twins, a concept endorsed by regulators and policymakers as the future of data management. Our guests will share insights into RYLTI's commitment to responsible AI and how their technology is shaping the marketplace amidst evolving technology dynamics. Discover the concept of a "digital twin ecosystem" and how the RYLTI RKE platform interacts with other AI and OT solutions to drive innovation and deliver previously unachievable benefits. Tune in to Silicon Valley Insider for a deep dive into the transformative work of RYLTI in making sense of corporate dark data and leading the way in responsible, cutting-edge analytics. To find out more about RYLTI go to https://ryailiti.com/ Subscribe and Download to “Silicon Valley Insider” to find out more: www.svin.biz Listen on 860AM KTRB Silicon Valley | San Francisco Listen on 1220AM KDOW Silicon Valley | San Francisco Listen and subscribe to the "Silicon Valley Insider" Podcast ahead of time to make sure you don't miss this show. Available on all majors platforms (Spotify, Apple, Google and more) For questions or comments, email: info@svin.biz www.keithkoo.com

Wir klären, ob Kürzungen beim Agrardiesel helfen, das Klima zu schützen. Außerdem: Mittlere Unwetter richteten 2023 viel Schaden an. Es wurde unterwartet viel Nanoplastik in Flaschenwasser gefunden, und Dark Data aufräumen spart Energie. Zum Schluss wird's klirrend kalt.**********Zusätzliche InformationenKlaus Jansen und Anne Preger **********In dieser Folge:00:00:01 - Proteste wegen Agrardiesel-Kürzung: Profitiert davon das Klima?00:08:10 - Bilanz 2023: Schäden durch Naturkatastrophen00:14:26 - Mehr Nanoplastik als gedacht in Flaschenwasser00:18:30 - Was geht: Dark Data Aufräumen00:21:44 - Natursound: Eiswellen**********Weiterführende Quellen zu dieser Folge:Umweltbundesamt zu Klimaschutz in der LandwirtschaftDLF-Interview mit Michael Sterner über alternative Antriebe für LandmaschinenSchäden durch Naturkatastrophen - weltweite Bilanz 2023 vom Versicherungsunternehmen Munich ReStudie zu den Kosten des Klimawandels, 2021US-Studie: Mehr Nanoplastik als gedacht in FlaschenwasserAlle Quellen findet ihr hier.**********Ihr könnt uns auch auf diesen Kanälen folgen: Tiktok und Instagram.**********Ihr habt Anregungen, Ideen, Themenwünsche? Dann schreibt uns gern unter updateerde@deutschlandfunknova.de.

This is the AHRMM Subject Matter Expert Podcast hosted by Justin Poulin. Tune in every month as we speak with Industry Experts to highlight success stories and solutions from the field that advance the healthcare supply chain. And now, Justin Poulin with this month's Expert… Rueben Mathew Philip, one of our YPAC members and the Product Lead at Clarium Health Topic: Technology Enabling Supply Resiliency - Define a key concept to set the table for the discussion – what is “Dark Data”? - In what ways can technology address dark data challenges *Visibility to the supply chain *Humans cannot monitor and track large data sets *Implications for standardization *Enables HCO to respond to SC disruption *Adjust strategy related to actionable insights *Technology can track and create actionable insights that humans cannot - Give us a real world example of an actionable insight that can be gained only through technology - How can listeners put this into practice?

This is the AHRMM Subject Matter Expert Podcast hosted by Justin Poulin. Tune in every month as we speak with Industry Experts to highlight success stories and solutions from the field that advance the healthcare supply chain. And now, Justin Poulin with this month's Expert… Rueben Mathew, one of our YPAC members and the Product Lead at Clarium Health. Topic: Technology Enabling Supply Resiliency - Define a key concept to set the table for the discussion – what is “Dark Data”? - In what ways can technology address dark data challenges *Visibility to the supply chain *Humans cannot monitor and track large data sets *Implications for standardization *Enables HCO to respond to SC disruption *Adjust strategy related to actionable insights *Technology can track and create actionable insights that humans cannot - Give us a real world example of an actionable insight that can be gained only through technology - How can listeners put this into practice?

YouTube Link: https://www.youtube.com/watch?v=41JBrC5e5tA David Hand, professor of statistics, reveals how ChatGPT lies with "dark data"; more generally, large language models and even peer review. Listen now early and ad-free on Patreon https://patreon.com/curtjaimungal. - Patreon: https://patreon.com/curtjaimungal (early access to ad-free audio episodes!) - Crypto: https://tinyurl.com/cryptoTOE - PayPal: https://tinyurl.com/paypalTOE - Twitter: https://twitter.com/TOEwithCurt - Discord Invite: https://discord.com/invite/kBcnfNVwqs - iTunes: https://podcasts.apple.com/ca/podcast... - Pandora: https://pdora.co/33b9lfP - Spotify: https://open.spotify.com/show/4gL14b9... - Subreddit r/TheoriesOfEverything: https://reddit.com/r/theoriesofeveryt... - TOE Merch: https://tinyurl.com/TOEmerch DAVID HAND'S BOOKS: - Dark Data: https://amzn.to/446Fou1 - The Improbability Principle: https://amzn.to/3DOn1iX TIMESTAMPS: 00:00:00 Introduction 00:01:34 What is Dark Data? (missing data matters more than what you have) 00:07:03 The perils of "changing definitions" 00:09:15 David on writing and his selective process 00:20:15 Theory-driven vs. data-driven models (& the constitution of LLMs) 00:32:08 The dilemma of partial truths 00:34:40 The "File Drawer Problem" & its adverse effects on clinical trials 00:39:09 Regression to the mean (how random variations lead to misleading conclusions) 00:44:12 Publication bias 00:48:03 Open-access models and their pitfalls 00:54:06 Why LLMs are simultaneously brilliant & stupid  01:03:40 David's daily routine 01:06:24 The mean vs. median 01:11:07 Every type of "Dark Data" listed (watch this first!) Learn more about your ad choices. Visit megaphone.fm/adchoices

Dark Data, también conocido como datos oscuros, se refiere a la gran cantidad de información generada y recopilada por organizaciones, pero que permanece sin ser aprovechada o analizada en su totalidad. Estos datos pueden incluir información no estructurada, registros obsoletos o simplemente datos que no se han integrado en los procesos de toma de decisiones. A pesar de su potencial, el Dark Data puede ser un recurso desaprovechado que, una vez explorado y comprendido, puede proporcionar valiosos conocimientos y ventajas competitivas para empresas y organizaciones de todo tipo. Te invitamos a escuchar este podcast dónde Natalia Regalado, COE Lead, y Javier Minhondo, BSA Data, nos cuentan como utilizar estos datos.

In this episode of the Utilizing Tech podcast, Stephen Foskett, Alison Klein, and Gina Rosenthal discuss dark data in edge computing. Dark data is unutilized or unknown data collected by organizations. The distributed nature and use of third-party apps can make it challenging to handle dark data, limiting insights and posing security risks. Establishing a stronger IT-business connection is crucial. Observability solutions and data analytics can aid in discovering and centralizing dark data. AI has potential for data hygiene improvement, but human-driven cleaning is still necessary. Despite challenges, edge computing offers better data management due to controlled deployments. Host: Stephen Foskett: https://www.twitter.com/SFoskett Panelists: Allyson Klein: https://www.twitter.com/TechAllyson Gina Rosenthal: https://www.twitter.com/Digi_Sunshine Follow Gestalt IT and Utilizing Tech Website: https://www.GestaltIT.com/ Utilizing Tech: https://www.UtilizingTech.com/ Twitter: https://www.twitter.com/GestaltIT Twitter: https://www.twitter.com/UtilizingTech LinkedIn: https://www.linkedin.com/company/Gestalt-IT Tags: #UtilizingEdge, #DarkData, #EdgeComputing, #Edge,

TSMC confirms data breach after LockBit cyberattack on third-party supplier Red Hat Says "Bye Bye CentOS" Cybercriminals Hijacking Vulnerable SSH Servers in New Proxyjacking Campaign ChatGPT's Still a Baby and It's Already Getting Sued Minimizing Dark Data Risk Ranga Bodla, Vice President of Field Engagement and Marketing at Oracle NetSuite talks about simplifying tech stacks to minimize costs, and advantages to using advanced ERP systems. Host: Louis Maresca Co-Host: Oliver Rist Guest: Ranga Bodla Download or subscribe to this show at https://twit.tv/shows/this-week-in-enterprise-tech. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: kolide.com/twiet lookout.com ZipRecruiter.com/twiet

TSMC confirms data breach after LockBit cyberattack on third-party supplier Red Hat Says "Bye Bye CentOS" Cybercriminals Hijacking Vulnerable SSH Servers in New Proxyjacking Campaign ChatGPT's Still a Baby and It's Already Getting Sued Minimizing Dark Data Risk Ranga Bodla, Vice President of Field Engagement and Marketing of Oracle talks about simplifying tech stacks to minimize costs, and advantages to using advanced ERP systems. Host: Louis Maresca Co-Host: Oliver Rist Guest: Ranga Bodla Download or subscribe to this show at https://twit.tv/shows/this-week-in-enterprise-tech. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: kolide.com/twiet lookout.com ZipRecruiter.com/twiet

TSMC confirms data breach after LockBit cyberattack on third-party supplier Red Hat Says "Bye Bye CentOS" Cybercriminals Hijacking Vulnerable SSH Servers in New Proxyjacking Campaign ChatGPT's Still a Baby and It's Already Getting Sued Minimizing Dark Data Risk Ranga Bodla, Vice President of Field Engagement and Marketing of Oracle talks about simplifying tech stacks to minimize costs, and advantages to using advanced ERP systems. Host: Louis Maresca Co-Host: Oliver Rist Guest: Ranga Bodla Download or subscribe to this show at https://twit.tv/shows/this-week-in-enterprise-tech. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: kolide.com/twiet lookout.com ZipRecruiter.com/twiet

TSMC confirms data breach after LockBit cyberattack on third-party supplier Red Hat Says "Bye Bye CentOS" Cybercriminals Hijacking Vulnerable SSH Servers in New Proxyjacking Campaign ChatGPT's Still a Baby and It's Already Getting Sued Minimizing Dark Data Risk Ranga Bodla, Vice President of Field Engagement and Marketing at Oracle NetSuite talks about simplifying tech stacks to minimize costs, and advantages to using advanced ERP systems. Host: Louis Maresca Co-Host: Oliver Rist Guest: Ranga Bodla Download or subscribe to this show at https://twit.tv/shows/this-week-in-enterprise-tech. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: kolide.com/twiet lookout.com ZipRecruiter.com/twiet

The data centre dilemma raised its head again this week with concerns about a shortage of electricity. But are there simple solutions to help ease the problem? We're joined by Professor Aoife Foley, Energy Systems Engineer.

Huxley Barbee, Security Evangelist at runZero shares his valuable insights on various approaches to asset discovery, such as agents, authenticated active scanning, and pulling data from other solutions. We'll also touch on the pros and cons of passive network monitoring and unauthenticated active scanning for finding unmanaged devices.

It's lurking everywhere, on old servers, in the cloud, wherever business got done. Usually, it's harmless, but sometimes there's great value... or existential risk. It's Dark Data! Many executives know it's out there, but are reluctant to open what seems like a can of worms. But if curated properly, there's tremendous value awaiting. And it's a command performance if you plan to leverage AI responsibly. Check out this episode of DM Radio to hear Host @eric_kavanagh interview veteran Analyst Dr. Robin Bloor, along with serial innovator Andrew Ahn of PraxiData, Amit Ben of One AI, and budding data science star, Danielle Oberdier of Dikayo Data. They'll get into the weeds about how expert curation and generative AI can connect the dots within information systems.

Data comes from many different places, sources, and ways. Some data we call dark data, which is data not accessible to you, and all of it relevant. Today we talk about metadata as part of the governance control management exposure of data. An important layer beyond the data itself is the governance intent, how people access it, and how you combine data. We discuss exactly what that is, but still only touch the surface. References: https://yago-knowledge.org https://en.wikipedia.org/wiki/Ontology Transcript: https://otter.ai/u/rP_4gi-iDont0r2CaZlmGkYLRiY?utm_source=copy_url Image: https://www.pexels.com/photo/apples-and-leaves-on-books-14098062/

Dr Jonathan Reichental is a Founder, Professor, author and former Chief Information Officer for the city of Palo Alto, Silicon Valley.  Jonathan has recently released his new book 'Data Governance for Dummies' which is an Amazon No1 best seller. 83% of CEO's want a data driven organisation yet only 32% are realising this result. 47% of data created has critical errors within it that impacts work and 48% of employees tend to follow their gut rather than the data. All leaders of any sized business will use and manage data, but how many are able to turn that data into insight and wisdom? In this episode Jonathan will outline what data governance is, why it is important (non-negotiable) and what all leaders need to consider regardless of the size and complexity of the business. Jonathan outlines a step approach to creating your data strategy and how to think about expense, execution, operations, cataloguing, analytics and insights. The sheer scale of data created and consumed is almost incomprehensible and Jonathan helps us understand terms such as 'data exhaust' and 'dark data' as this episode is a must for all leaders to understand how data governance works and how to apply it to an organisation in a way that improves results and doesn't disrupt. www.reichental.com

Dr. Ruth Freeman discusses the link between Vegetarianism and depression and also we hear about dark data.

Every attorney knows to lock client secrets behind sophisticated cybersecurity. But as guest Rich Hale explains, the data that's hiding in plain sight, “Dark Data,” is just as important to your client relationships and your reputation. After this important episode, you'll want to look around your office. What do you see? Passwords taped to keyboards, thumb drives and scribbled notes left on desktops overnight, email exchanges that keep expanding as more people are looped in? Protecting that data both from thieves and ransomware attacks is every bit as crucial as your clients' secret formula or business plans. As chief technology officer for the data security firm ActiveNav, Hale is surprised how many organizations are swimming in unsecured Dark Data. Just because you aren't hearing about a security breach at a small law firm doesn't mean it's not happening daily. Learn to shine a light on your Dark Data. This may be one of the most eye-opening podcasts you listen to this year.

Every attorney knows to lock client secrets behind sophisticated cybersecurity. But as guest Rich Hale explains, the data that's hiding in plain sight, “Dark Data,” is just as important to your client relationships and your reputation. After this important episode, you'll want to look around your office. What do you see? Passwords taped to keyboards, thumb drives and scribbled notes left on desktops overnight, email exchanges that keep expanding as more people are looped in? Protecting that data both from thieves and ransomware attacks is every bit as crucial as your clients' secret formula or business plans. As chief technology officer for the data security firm ActiveNav, Hale is surprised how many organizations are swimming in unsecured Dark Data. Just because you aren't hearing about a security breach at a small law firm doesn't mean it's not happening daily. Learn to shine a light on your Dark Data. This may be one of the most eye-opening podcasts you listen to this year.

In this podcast, the speakers discuss using data appropriately in the legal sphere, and thinking creatively about what various data sources within your firm or organization can tell you. Questions Harriet will ask the speakers: · Big picture: How do we make sure data is useable, accessible/findable, and consistent across departments? · On the topic of so-called “dark” data: what are some uses cases from other industries that we should think about applying to the legal industry? In other words, how can we mine data that's already being collected and make better/new use of it? · What are some ways in which we can convince groups to share their data for the greater good? How can we get buy-in from the average partner/shareholder to share their data across the firm, to ultimately enable trend-spotting and proactive action, rather than simply using data to tell retrospective stories? Moderator: @Harriet Joubert-Vaklyes - Process Innovation Senior Specialist, Shearman & Sterling LLP Speakers: @Lisa Gardner - Director of Data Analytics, Shearman & Sterling @Paul Giedraitis - Principal, Axiom Consulting Partners/Orgaimi Recorded on 09-13-2022

This week on Privacy Please, we go into detail about dark data and what it means for you, your organization, and best practices for securing it. 

Please enjoy my monologue The Invincible Company and Dark Data with Michael Covel on Trend Following Radio. This episode may also include great outside guests from my archive. --- I'm MICHAEL COVEL, the host of TREND FOLLOWING RADIO, and I'm proud to have delivered 10+ million podcast listens since 2012. Investments, economics, psychology, politics, decision-making, human behavior, entrepreneurship and trend following are all passionately explored and debated on my show. To start? I'd like to give you a great piece of advice you can use in your life and trading journey… cut your losses! You will find much more about that philosophy here: https://www.trendfollowing.com/trend/ You can watch a free video here: https://www.trendfollowing.com/video/ Can't get enough of this episode? You can choose from my thousand plus episodes here: https://www.trendfollowing.com/podcast My social media platforms: Twitter: @covel Facebook: @trendfollowing LinkedIn: @covel Instagram: @mikecovel Hope you enjoy my never-ending podcast conversation!

Please enjoy my monologue The Invincible Company and Dark Data with Michael Covel on Trend Following Radio. This episode may also include great outside guests from my archive. --- I'm MICHAEL COVEL, the host of TREND FOLLOWING RADIO, and I'm proud to have delivered 10+ million podcast listens since 2012. Investments, economics, psychology, politics, decision-making, human behavior, entrepreneurship and trend following are all passionately explored and debated on my show. To start? I'd like to give you a great piece of advice you can use in your life and trading journey… cut your losses! You will find much more about that philosophy here: https://www.trendfollowing.com/trend/ You can watch a free video here: https://www.trendfollowing.com/video/ Can't get enough of this episode? You can choose from my thousand plus episodes here: https://www.trendfollowing.com/podcast My social media platforms: Twitter: @covel Facebook: @trendfollowing LinkedIn: @covel Instagram: @mikecovel Hope you enjoy my never-ending podcast conversation!

This episode is all about Unstructured Data but alone the way you will be introduced to the concept of 1st 2nd and 3rd order metadata, edge computing, and knowledge graphs.   And yes "Dark Data" is a thing!  "the information assets organizations collect, process and store during regular business activities, but generally fail to use for other purposes (for example, analytics, business relationships and direct monetizing)"   Connect with Kirk from https://www.unstruk.com/   More podcast episodes on GIS and GIS careers can be found on our website https://mapscaping.com/podcasts/   Consider supporting this podcast on Patreon  https://www.patreon.com/MapScaping?   Or go to MapScaping.com to find out about sponsoring our website reach out on Twitter https://twitter.com/MapScaping or LinkedIn https://www.linkedin.com/in/danielodonohue/       

What do people mean when they refer to Dark Data? And how is Dark Data different from regular data? Almost everything we do involves data —we're either generating it or receiving it, whether we're aware of it or not. And this adds up to, well, a lot of data — and to no one's surprise, a lot of it is left unused. In short, Dark Data refers to the data that we often collect but do not use, especially for Business Intelligence purposes. Often times, Dark Data is what leads to businesses experiencing the DRIP syndrome, which stands for Data Rich, Information Poor. This happens when companies gather a lot of data but don't have the tools in place to turn it into valuable information. Well, we've got a lot to cover so let's dive into more detail as to what Dark Data is and what its advantages and disadvantages are. Check out the video to learn more about Dark Data: https://youtu.be/pbNUZU-FaSA To learn more about the Cubeware Solutions Platform and its applications, click here: https://www.cubeware.com Join Our Social Networks: YouTube: https://www.youtube.com/Cubeware LinkedIn: https://www.linkedin.com/company/cubeware-gmbh Facebook: https://www.facebook.com/cubeware.gmbh Twitter: https://twitter.com/Cubeware Instagram: https://www.instagram.com/cubeware.gmbh/ Telegram: https://t.me/cubeware #BusinessIntelligence #DataAnalytics #AdvancedDataAnalytics #Cubeware

Had an amazing conversation with Sanjay Srivastava, SVP & CDO of Genpact. Sanjay gave me his expert insight on the current state of the AI market and all the ways leaders in the industry are creating massive transformations. Amazing customers stories included as well. We also dived deep into ethical AI and dark data.   Sanjay's Bio:  Sanjay Srivastava is senior vice president and chief digital officer at Genpact, a global digital transformation services provider. He runs the company's Data, AI, Analytics, Automation Software, and Technology Services businesses and oversees Genpact's AI-enabled digital business platform, Cora. Sanjay is deeply rooted in the innovation ecosystem and is an advisor to Silicon Valley incubators and several startups, and a limited partner in digital-focused venture funds. Sanjay serves on the MMA CDO Board, is a member of the Digital 50, BCG's Digital Transformation Network, and CNBC's Technology Executive Council was named IDG “Top 10 Digital Transformation Influencers to Follow”, and blogs frequently on LinkedIn. Prior to Genpact, Sanjay was a serial entrepreneur, and built four startups - in edge networks, data center automation, predictive algorithms, and enterprise SaaS that were acquired by Akamai, BMC, SunGard (now FIS), and Genpact, respectively. He also held operating leadership roles at Hewlett Packard, Akamai, and SunGard, where he oversaw product management, global sales, and various product and services P&Ls. Sanjay earned an M.B.A. from the University of Minnesota-Twin Cities and his undergraduate degree at the Indian Institute of Technology, Kharagpur. He is based in Seattle, WA. Follow him on LinkedIn. A note about our sponsors: A big thank you to Experian. Experian is the world's leading global information services company. We empower our clients to manage their data with confidence and build trusted relationships with consumers, using advanced analytics, decisioning technology and fraud prevention tools. We help businesses to make smarter decisions and thrive, lend more responsibly, and prevent fraud and financial crime. As the world's leading repository of consumer credit data, Experian is transforming data into solutions that facilitate transactions, ensure financial safety and improve the financial lives of millions of consumers around the world. Learn more at https://Experian.com.

How much dark data does your company have lurking in the depths of its servers? No, we're not talking about anything shady (...are we?). We're talking about the tons of slideshows, presentations, PDFs, reports, graphs, research, and on and on that goes completely unused but shouldn't go completely unused. Dan Mallin and Lucy are here to try to fix that issue.As the founder and CEO of Lucy, Dan is guiding the artificial intelligence company into the future. Lucy, the company's titular AI, scrapes through huge amounts of data and accurately tags each and every bit in the hopes that it can be quickly recalled via natural language search to help companies be better at what they do. We talked with Dan about Lucy's data-diving prowess, his impressive career in tech, why farmers are definitely, definitely entrepreneurs, and a lot more. Don't miss it.  tech.mn on TwitterBETA on TwitterLucy on TwitterDan Mallin on Twitter

We like to think we have everything we need to make decisions based on the numbers we are presented in a data set. But any large data set is bound to have problems. And it's often the data that we are missing that can lead us off course unexpectedly. David Hand has written many books, including The Improbability Principle: Why Coincidences, Miracles, and Rare Events Happen Every Day and the more recent, Dark Data: Why What You Don't Know Matters. He is also emeritus professor of math at Imperial College.David and Greg talk today about bias in statistics, interpreting data sets, and whether or not we are just more aware of global events happening than we were in the past, and how that affects stats?Episode Quotes:Interpreting data sets:You need an element of caution, skepticism about the data because let's face it. Any large data set is likely to have some problems, measurement, error problems, duplications and missing values. In time, missing records, it's likely to have some problems. So, a skeptical attitude I think is a healthy attitude.Observational data:I think observational data is particularly risky and it has to be said that the data science revolution we are currently living through is in large part driven by big observational administrative data sets. Data sets which arise in the normal practice of everyday life. Running a credit card or a retail operation, for example or a transport company, a hospital or whatever. You're just observing what happens. You're not manipulating or intervening. And in that case, I think the opportunities for distortions are very severe. Now, whether those distortions will impact your conclusions depends on what question you're asking, but there is a great risk.Misconceptions of big data sets:People have this belief that big data, massive data sets, billions of data points - no need to worry, the size of the data or wash all the problems away. What I say is that big data has all the problems of small data and extra problems of their own because I think they have more opportunities for glitches to occur and problems to arise.Show Links:Guest Profile:Faculty Profile at Imperial College LondonProfessional Profile at The British AcademyHis work:David Hand on Google ScholarDark Data: Why What You Don't Know MattersThe Improbability Principle: Why Coincidences, Miracles, and Rare Events Happen Every DayMeasurement: A Very Short Introduction

About our Guests:Dr David Décary-Hetuhttps://ddhetu.pubpub.org/Dr. Joshua Jameshttps://dfir.science/Papers or resources mentioned in this article:The Crim Archive.https://www.crimrxiv.com/Human Cyber-Centric Cybersecurity Partnershiphttps://www.hc2p.ca/Ouellet, Marie; Décary-Hétu, David; and Bergeron, Andréanne, "Cryptomarkets and the Returns to Criminal Experience" (2022). CSLF Articles. 3. https://scholarworks.gsu.edu/ays_cslf_articles/3David Décary-Hétu & Benoit Dupont (2012) The social network of hackers, Global Crime, 13:3, 160-175, DOI: 10.1080/17440572.2012.702523Flamand, C., & Décary-Hétu, D. (2019). The Open and Dark Web. The Human Factor of Cybercrime, 34-50.Other:My husky voice is as a result of testing how much my lung capacity has degraded as a result of covid-19 with a short work through metre deep snow. Turns out it has degraded a lot. If you have wondered if show shoes are worth the hassle, they absolutely are.  

Listen in as Safia Kazi, ISACA's Privacy Professional Practice Advisor, as she speaks with Steve Ross, Executive Principal of Risk Masters International, about his article "Privacy in the Dark (Data)". Organizations have a lot of “dark data”; information that they have collected, filed and forgotten.  Some of it concerns people, so there is a privacy concern about how that data is secured.  Both enterprising cyberattackers and litigants using eDiscovery tools have incentive to search through this dark data to see what they might make use of.  The potential for misuse calls for greater attention to the security of this data. For more information, don't forget to check out https://www.isaca.org/resources/isaca-journal/issues/2022/volume-1/privacy-in-the-dark-data

What is Dark Data? What inspired David to write this book?  What did he hope to accomplish in its writing? Today, we all make decisions using data. Dark Data shows us all how to reduce the risk of making bad ones.

Host Jack Large joins Craig Jeffery, Managing Partner of Strategic Treasurer, and Ben Poole, Deputy Editor of CTMfile, to review the latest treasury news and developments. Topics of discussion center around new FX dataset services from CLS, SWIFT's plans to transform to a transaction platform and to adopt and enforce global API standards, and how dark data is vital in improving forecasting. Listen in to the conversation to find out more.

Post By: Adam Turteltaub “Dark data” sounds ominous, and as Peter Bauman (LinkedIn), Founder and CEO of ActiveNav explains in this podcast, it can lead to great risks for organizations. Dard data is essentially data which organizations collect as a part of their business processes but don't necessarily have a plan to use. It is also data that rarely gets thrown out, instead residing indefinitely on devices and services. It includes weblogs, tracking data, surveillance footage, email correspondence, chatroom conversations, presentations and old spreadsheets. This data is typically unstructured, and often it is very opaque. It also carries significant risks including the need to access it during litigation, and it even may create privacy issues. How can you get a handle on this data? Shine a light on it. Determine where it is in your organization and start building a data inventory that classifies the data. Next determine what is worth keeping and what needs to be destroyed. And, for the data worth keeping, take the trouble to classify it. Most of all, treat this as an ongoing issue to manage. Data tends to collect itself, in many ways, and organizations need to be aware of what it has and what it's for. That requires the creation of better policies for collecting and managing data. Those policies need to be pragmatic, reflecting both business needs and the inevitable collection of ever more amounts of data. Listen in to learn more about dark data and how you can start bringing it into the light.

Post By: Adam Turteltaub “Dark data” sounds ominous, and as Peter Bauman (LinkedIn), Founder and CEO of ActiveNav explains in this podcast, it can lead to great risks for organizations. Dard data is essentially data which organizations collect as a part of their business processes but don't necessarily have a plan to use. It is also data that rarely gets thrown out, instead residing indefinitely on devices and services. It includes weblogs, tracking data, surveillance footage, email correspondence, chatroom conversations, presentations and old spreadsheets. This data is typically unstructured, and often it is very opaque. It also carries significant risks including the need to access it during litigation, and it even may create privacy issues. How can you get a handle on this data? Shine a light on it. Determine where it is in your organization and start building a data inventory that classifies the data. Next determine what is worth keeping and what needs to be destroyed. And, for the data worth keeping, take the trouble to classify it. Most of all, treat this as an ongoing issue to manage. Data tends to collect itself, in many ways, and organizations need to be aware of what it has and what it's for. That requires the creation of better policies for collecting and managing data. Those policies need to be pragmatic, reflecting both business needs and the inevitable collection of ever more amounts of data. Listen in to learn more about dark data and how you can start bringing it into the light.

Hva er Data Security, Information Security, Cybersecurity?Chris Dale fra River Security er gjest i dagens episode. Og Chris har lang erfaring med som ethical hacker og underviser innenfor Cybersecurity. Derfor har jeg invitert Chris til å gi oss et innblikk i sikkerhetsverden, forklare noen begreper, snakke om viktigheten av gode rutiner og hvodan man best kan sikre seg.

Retrouvez le GOOD MORNING FrenchWeb tous les matins dès 7h avec Joseph Postec pour découvrir les actualités à ne pas manquer analysées par la rédaction et les experts de la communauté FrenchWeb.L'accumulation non contrôlée de la data crée un phénomène de Dark data. Il s'agit de données qui s'accumulent sans être utilisées. Cela engendre des problématiques de sécurité mais aussi de coût, tout en augmentant l'empreinte environnementale de l'entreprise.Pour savoir comment identifier cette problématique, et quoi faire, nous avons échangé avec Jean-Pierre Boushira, Vice President South, Benelux & Nordics Region pour Veritas Technologies.

This collection of in-depth profiles featuring Smart City CIOs, Data Protection Officers, Blockchain CEOs, Informatics Doctors, and other forward-thinking professionals lets you walk a mile in their shoes and discover what tomorrow's jobs look like today. The hands-on experiences, subject matter expertise, and measured job advice demonstrate how, by identifying opportunities, setting the right cadence, and building strong relationships, you can unlock your highest potential. One of those subject matter experts is Markus Lindelow of Iron Mountain, who we spoke to in our new book, Tomorrow's Jobs Today. This episode is also available as a blog post: https://rafaelmoscatel.com/analytics-illuminating-the-physical-realm-of-dark-data/ --- Send in a voice message: https://anchor.fm/tomorrowsjobs/message Support this podcast: https://anchor.fm/tomorrowsjobs/support

Co-founders Pavel Stanen (@Pastaaan) & Ankit Jagannath of Pasadé tech, join the Lounge, from Sydney, Australia, and contribute to the growing conversation around #unstructured data. The issue the guys discuss is nuanced because harnessing unstructured data can play a multitude of roles when that data is turned into actionable information.  The premise is explained below via an excerpt from Boardwalktech, Inc (@Boardwalktech) and their Unity Central project:"Organizations deal with a lot of data, and it comes in many forms.  There is structured data like log files, spreadsheets, tables, and SQL databases.  This data was once the bulk of information that lived in a given company, and is why SQL, Excel, and others have historically been a necessity to manage and extract insights from an organization's data lake'.However, with the explosion of a new digital age, 85% of all enterprise information is now unstructured and comes in the form of emails, documents, images, videos, social media, and more.This unstructured data is stored in disconnected systems, where it rapidly diversifies and evolves, increases in volume, ultimately becoming harder to manage and understand every single day.With the new reality, 70% of businesses do not know how to handle this influx of information, and because of this, gaps in knowledge continue to grow, resulting in a situation where companies cannot organize, manage, or search the majority of their information. The people who rely on this data to make vital decisions do not think in rows, columns, or raw text.They use knowledge, research, creativity, inspiration, drive, and gut instinct.It's about time people had a way to be able to ask questions about this data and receive answers in a language they understand.That is why we created Unity Central. To solve the age-old, yet ever-evolving challenge that is:How can I ask a question and get the right answer?"The Information Lounge powered by Boardwalktech Inc. 

Caitlin Halferty, Director, AI Accelerator and Client Success at IBM Global Chief Data Office discusses the differences between DataOps and DevOps, details on how artificial intelligence is a key component to gathering analytics, and her view of the Data Protection industry from the lens of Digital Transformation.