Data Science Conference
Data Science Conference
  • Видео 540
  • Просмотров 129 458
Model Calibration | Tin Ferkovic | DSC ADRIA 24
In his talk, Tin Ferkovic explore the process of model calibration, discussing various techniques to align confidence predictions with output probabilities in both discriminative and generative scenarios, including simpler methods for classification problems like text classification and named entity recognition, as well as more advanced techniques like TrOCR for generative tasks.
This speech by Tin Ferkovic was held on May 23rd at DSC Adria 2024 in Zagreb.
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Просмотров: 23

Видео

To slackers by slacker: Make Data products with the taste of the future | R. Bacovic | DSC ADRIA 24
Просмотров 1414 часов назад
In this tech tutorial, Radovan explores the impact of AI and large language models (LLMs) on the future of work, questioning whether they will render us jobless or significantly boost productivity. He provides insights into the data product lifecycle, highlighting how AI integrates into each phase from planning and coding to deployment and security. Radovan shares his practical experiences with...
Lessons learned testing LLM-based conversational AI systems | Katherine Munro | DSC ADRIA 24
Просмотров 3619 часов назад
In her talk, Katherine explored the complexities of enhancing a functional chatbot with Large Language Models, drawing from her role as a Conversational AI Engineer, offering insights on comparing evolving proofs of concept with existing products, utilizing varied testing methods, and sharing practical lessons for building production-ready conversational AI. This speech by Katherine Munro was h...
Transforming the everyday analytics | David Vorih | DSC ADRIA 24
Просмотров 43День назад
David's talk charts Siemens' journey from pioneering industrial revolutions to today’s success in mastering the combination of the real and the digital world. He revealed exclusive insights into Siemens' tech marathon, where 3,000 developers innovated with 45TB of data across 750 projects. The spotlight was on the Siemens Data & AI Ecosystem, the Siemens Data Cloud and a demo of selected digita...
Generative AI for Enterprises with watsonx | Erik Ternav | DSC ADRIA 24
Просмотров 61День назад
In his tech tutorial, Erik delves into the application of generative AI within enterprises using the technology of watsonx.ai. Geared towards professionals interested in AI's business applications, the presentation showcases the capabilities of watsonx.ai and its practical uses. Attendees gain insights into how integrating watsonx.ai can enhance business operations and streamline workflows for ...
Navigating the AI Labyrinth: A Roadmap for The Ambitious | Mislav Malenica | DSC ADRIA 24
Просмотров 4614 дней назад
During his talk, Mislav navigates the complexities of the accelerating AI revolution, offering insights gained from his 20-year journey at the intersection of AI and entrepreneurship. He provides essential guidance for ambitious individuals, empowering them to lead and innovate within the evolving landscape of AI while addressing the risks associated with failure. This Keynote speech by Mislav ...
Data Science in Gaming | Siyu Sun | DSC Europe 23
Просмотров 95Месяц назад
We were in an era where the gaming industry needed data science to make good use of the data collected from players in a holistic way. Data Science aided in the analysis of game development strategies. The mathematical model aided in determining the game’s optimal point. In her talk, Siyu covered some interesting use cases of data science applications in-game analytics, showcasing how it enhanc...
Creating a Data Platform for Software-Defined Electric Vehicles | J. Shiverick & V. Sivasubramanian
Просмотров 59Месяц назад
In their talk, Jason and Venkat delved into Rivian's cutting-edge data platform, positioned as a foundational element for software-defined electric vehicles. They highlighted the platform's efficiency in gathering telemetry data from the electric vehicle fleet and charger network, offering valuable insights for engineering, design, and reliability purposes. The architecture's real-time processi...
Brain-Computer Interfaces: Ethical issues and resolutions | Kevin LaGrandeur | DSC Europe 23
Просмотров 41Месяц назад
Brain-Computer Interfaces (BCI) were discussed as a type of direct communication between the human brain and its functions, enabling control over external objects or allowing digital devices to influence the human brain. A new form of BCI, combined with AI, had already been used experimentally for emotional therapy in psychiatric patients. In his talk, Kevin outlined this case and then delved i...
An AI assistant for football tactics | Petar Velickovic | DSC Europe 23
Просмотров 289Месяц назад
When competing at the highest level of modern association football, the margins were incredibly tight, and it was increasingly important to be able to capitalize on any opportunity to create an advantage on the pitch. To that end, top-tier clubs employed diverse teams of coaches, analysts, and experts, tasked with studying and devising (counter-)tactics before each game. However, the analysis a...
Striving for transformation | Tamara Osoba | DSC x OTP
Просмотров 652 месяца назад
Tamara je Menadžer za transformaciju u OTP banci, sa 18-ogodišnjim iskustvom u bankarskoj industriji. Karijeru je započela u Societe Generale Srbija i znanja sticala kroz upravljanje projektima unapređenja procesa i organizacije kao i kreiranje inovacionog okruženja. Radila je na obezbeđivanju standarda kvaliteta usluga po meri klijenata, a zatim se pridružila HR timu gde je učestvovala u kreir...
The Age of Artificial Intelligence: What You Don’t Know May Surprise You | Dubravko Ć. | DSC x OTP
Просмотров 492 месяца назад
Dubravko Ćulibrk je redovni profesor na Katedri za inženjerstvo informacionih sistema na Fakultetu tehničkih nauka Univerziteta u Novom Sadu, Srbija, i direktor Istraživačko-razvojnog Instituta za veštačku inteligenciju u Srbiji. Od doktorskih studija na Univerzitetu Florida Atlantic (2003-2006), SAD, bavi se istraživanjem u oblasti mašinskog učenja inspirisanog biologijom, sa posebnim fokusom ...
Unleashing the Power of Data-Driven Crypto Investing | Stevan Radonjanin | DSC Europe 23
Просмотров 712 месяца назад
In his talk, Stevan delved into the realm of unleashing the power of data-driven crypto investing in his presentation. By leveraging data analytics and insights, his talk explored how investors can strategically navigate the volatile landscape of cryptocurrency markets. Stevan discussed the crucial role of data in making informed investment decisions, highlighting the methodologies and tools th...
Fintech trends to look out for in 2024 | Nebojša Đurđević | DSC x OTP
Просмотров 722 месяца назад
Nebojša je preduzetnik i izvršni direktor sa preko 30 godina globalnog iskustva u tehnološkim kompanijama, prvenstveno u oblasti finansijskih usluga i FinTech-a. Njegovo karijera uključuje 25 godina života i rada u Kanadi. Nebojša je sada partner i izvršni direktora za strategiju i inovacije u kompaniji Vega IT, vođen pasijom za podsticanje inovacija i negovanje partnerstava koja otključavaju r...
Fintech Unlocked: Power of data-driven transformation | DSC x OTP
Просмотров 462 месяца назад
Predstavljamo vam kratki pregled nedavnog Fintech Unlocked: Power of data-driven transformation događaja! Uživajte u ponovnom doživljaju nekih izuzetnih trenutaka! Zajedno sa našim partnerima iz OTP banke, imali smo priliku da zavirimo u budućnost fintech-a uz inovacije koje donosi moderna tehnologija Mislimo da je ključno sagledati sve nove inovacije na pravi način i negovati ih, jer su od vel...
How is it to lead an all-remote, globally distributed team? | Dennis Van Rooijen | DSC Europe 23
Просмотров 432 месяца назад
How is it to lead an all-remote, globally distributed team? | Dennis Van Rooijen | DSC Europe 23
Why Governments Should Build Their Own AI Products | Vid Stimac | DSC Europe 23
Просмотров 492 месяца назад
Why Governments Should Build Their Own AI Products | Vid Stimac | DSC Europe 23
Digital, data-driven financial advisory | Mathias Frey | DSC Europe 23
Просмотров 1332 месяца назад
Digital, data-driven financial advisory | Mathias Frey | DSC Europe 23
Therapy's Role in Easing Anxiety and Decision-Making | Mihailo Joksimovic | DSC Europe 23
Просмотров 1092 месяца назад
Therapy's Role in Easing Anxiety and Decision-Making | Mihailo Joksimovic | DSC Europe 23
How to Fail with AI - and How to Succeed? | Tobias Zwingmann | DSC Europe 23
Просмотров 2542 месяца назад
How to Fail with AI - and How to Succeed? | Tobias Zwingmann | DSC Europe 23
Beyond GenAI | Jepson Taylor | DSC Europe 23
Просмотров 1553 месяца назад
Beyond GenAI | Jepson Taylor | DSC Europe 23
AI Engineer Ethics: Shaping Responsible Generative AI | Heiko Hotz | DSC Europe 23
Просмотров 703 месяца назад
AI Engineer Ethics: Shaping Responsible Generative AI | Heiko Hotz | DSC Europe 23
Redefining User Experience with Large Language Models | Igor Ilic | DSC Europe 23
Просмотров 3253 месяца назад
Redefining User Experience with Large Language Models | Igor Ilic | DSC Europe 23
How to Build and Scale Ultra-Lean Gen AI Startups | Tarry Singh | DSC Europe 23
Просмотров 1243 месяца назад
How to Build and Scale Ultra-Lean Gen AI Startups | Tarry Singh | DSC Europe 23
Leading with Data: Crafting an Effective Strategy for 2023 and Beyond | Luka Anicin | DSC Europe 23
Просмотров 763 месяца назад
Leading with Data: Crafting an Effective Strategy for 2023 and Beyond | Luka Anicin | DSC Europe 23
Enhancement of Demand Forecasting and Supply Chain Planning product via GPT | N. Pozar | DSCEurope23
Просмотров 1013 месяца назад
Enhancement of Demand Forecasting and Supply Chain Planning product via GPT | N. Pozar | DSCEurope23
Our way to a data-driven enterprise - A Journey by Bosch | Rainer & Wolfgang | DSC Europe 23
Просмотров 663 месяца назад
Our way to a data-driven enterprise - A Journey by Bosch | Rainer & Wolfgang | DSC Europe 23
Guiding AI Governance Evolution: Traditional to Generative AI | Therese Svensson
Просмотров 603 месяца назад
Guiding AI Governance Evolution: Traditional to Generative AI | Therese Svensson
AI-Driven Business Success: Measurable Results and Revolutionized Sales | M. Grbovic | DSC Europe 23
Просмотров 1813 месяца назад
AI-Driven Business Success: Measurable Results and Revolutionized Sales | M. Grbovic | DSC Europe 23
Beyond Deep Learning: The Cognitive AI Frontier | Rana Gujral | DSC Europe 23
Просмотров 1073 месяца назад
Beyond Deep Learning: The Cognitive AI Frontier | Rana Gujral | DSC Europe 23

Комментарии

  • @deliyomgam7382
    @deliyomgam7382 21 день назад

    Grounded rice + flour + steamed

  • @luisray7599
    @luisray7599 27 дней назад

    ⭐ *promo sm*

  • @WebWiredWeirdo
    @WebWiredWeirdo Месяц назад

    I really don't agree with an WEF Implant in my head. Haha.. . N o W a y !

  • @WebWiredWeirdo
    @WebWiredWeirdo Месяц назад

    Which one of the Gouvernements in this Young Global Leader collection of WEF puppets ? How about GOUVERNEMENT is not taking anything actions in these case?! N o w a y

  • @StamenkovicNIkola
    @StamenkovicNIkola 2 месяца назад

    Bravo !!!

  • @gighavlex
    @gighavlex 2 месяца назад

    Thanks, greetings from Chile

  • @hxxzxtf
    @hxxzxtf 2 месяца назад

    🎯 Key Takeaways for quick navigation: 01:41 *🧠 The term "artificial intelligence" was coined in 1955/1956 to secure funding, reflecting the legacy of big talk versus reality in the field's development.* 04:46 *🖥️ Automation, at its core, involves turning inputs into outputs via recipes or code, with computers executing these instructions.* 07:46 *🤖 Machine learning differs from traditional programming by learning from examples rather than explicit instructions, mimicking how humans learn.* 12:01 *📚 Data quality is paramount in automation, as data serves as the "textbook" for machines to learn from, highlighting the subjectivity and potential biases inherent in datasets.* 16:51 *🧹 Ensuring data quality often falls under no specific job role, leading to a fragmented approach and underappreciation of the importance of data cleaning and management.* 19:46 *🌐 The internet serves as a data source but reflects a skewed perspective of reality, requiring caution when using data sourced from online platforms.* 21:34 *🔍 Automation through AI/machine learning simplifies tasks to just two lines of instruction, emphasizing the subjective nature of defining goals and selecting datasets, posing both promise and peril.* 26:59 *💡 Automation shifts focus to developers crafting instructions rather than writing extensive code, emphasizing the importance of thoughtful design in creating systems that impact society at scale.* 27:28 *🤖 Automation primarily impacts developers' tasks, streamlining processes by defining objectives and providing data, though it doesn't replace traditional software development.* 29:03 *⚠️ Mistakes are possible with both humans and AI systems, but AI automation is necessary for tasks that can't be automated manually, preserving traditional development methods alongside new applications.* 31:05 *🎨 Generative AI creates plausible exemplars, not just labels, allowing for the generation of diverse outputs such as fake Picasso paintings and Gucci sunglasses, raising questions about AI's role in creativity.* 37:34 *🛠️ Regulating generative AI poses significant challenges akin to regulating physical raw materials, requiring careful consideration to avoid hasty solutions that may lead to unintended consequences.* 42:58 *🔄 The impact of AI automation on employment disproportionately affects tasks that are repetitive and digitized, potentially reshaping the career progression path and necessitating careful talent development planning.* Made with HARPA AI

  • @DellikkilleD
    @DellikkilleD 3 месяца назад

    lol this has aged like fine milk.

  • @user-ho2pf5mj5g
    @user-ho2pf5mj5g 4 месяца назад

    Veritas

  • @gitasuputra8371
    @gitasuputra8371 5 месяцев назад

    beautiful mind

  • @earljames9514
    @earljames9514 5 месяцев назад

    💐 'promo sm'

  • @paulholsters7932
    @paulholsters7932 6 месяцев назад

    You cannot automate all developers out of a job but it’s insane to say you can’t automate a substantial part of them out of job. If AI can create certain webapplicaties you don’t need no more engineers only prompt people who give the instructions on what to build. Engineers in these usecases will only be there for bugfixing. On the counter side if AI can’t create your typical webapplication based solely on instructions AI sucks and we should stop talking about it. But it’s either the former or the latter that is it will replace a lot of people or it will replace hardly anybody because the tools based on it are very limited (ie they suck). To make it clear : there will be massive layoffs or it will be like no code today. It is useful in a few usecases but mostly it sucks.

  • @paulholsters7932
    @paulholsters7932 6 месяцев назад

    Horseshit

  • @adminomhfoz1908
    @adminomhfoz1908 6 месяцев назад

    german sounding woman trying to imitate british accent - awful

  • @vallab19
    @vallab19 6 месяцев назад

    No brain questions. What to do, when the middle ranking jobs gets automated and no opportunity for the fresheners to gain the middle skills to perform the high skilled jobs? Don't worry, Be happy. Because the high skilled jobs will also get automated sooner with the advent of GPT 5 or 6.

  • @user-pf1bs4yb1j
    @user-pf1bs4yb1j 6 месяцев назад

    He is such a great instructor I've ever learned from. His Python and SQL lectures are the most outstanding ones on the internet. We are here cheering you on. Keep it up, coach!

  • @user-pf1bs4yb1j
    @user-pf1bs4yb1j 6 месяцев назад

    He is such a great instructor I've ever learned from. His Python and SQL lectures are the most outstanding ones on the internet. We are here cheering you on. Keep it up, coach!

  • @mohammedelmahdadi9731
    @mohammedelmahdadi9731 7 месяцев назад

    I did learn also many things from Jose. He is one of the best instructors out there!

  • @user-bo4um9pd6u
    @user-bo4um9pd6u 8 месяцев назад

    What if you have your ground truth data , how will you go about it please ?

  • @jonlaban4272
    @jonlaban4272 8 месяцев назад

    My talk to a thousand Data Scientists in Belgrade Serbia

  • @rafcortina
    @rafcortina 8 месяцев назад

    Loved this presentation Luc.

  • @hambosk.7933
    @hambosk.7933 10 месяцев назад

    When you published the workbook to Tableau online, what credentials are used to connect to the SQL database?

  • @deirdrehoivik9790
    @deirdrehoivik9790 10 месяцев назад

    💯 "promosm"

  • @jonlaban4272
    @jonlaban4272 10 месяцев назад

    1956

  • @jonlaban4272
    @jonlaban4272 10 месяцев назад

    Save the world through data

  • @jonlaban4272
    @jonlaban4272 10 месяцев назад

    An excellent interview about open source collaboration " the biggest challenge is always cultural " Methinks I agree with that

  • @jonlaban4272
    @jonlaban4272 10 месяцев назад

    Its such a wonderful event Lots of fun and shared learning from..... I had mucho fun.. ruclips.net/video/ZRLTUfdgAyo/видео.html

  • @jonlaban4272
    @jonlaban4272 10 месяцев назад

    Steal from your friends Open collaboration always wins inbthe end

    • @jebimodomace
      @jebimodomace 9 месяцев назад

      100% agree with you 😀

  • @pradeepkamasani3355
    @pradeepkamasani3355 10 месяцев назад

    Thank you John.

  • @datageekpranav
    @datageekpranav 10 месяцев назад

    Amazing teacher!

  • @jlgelot
    @jlgelot 11 месяцев назад

    excellent !

  • @ManojKumar-ow9yq
    @ManojKumar-ow9yq 11 месяцев назад

    आपपे गर्व है

  • @user-yz3mz3jp9x
    @user-yz3mz3jp9x 11 месяцев назад

    👏

  • @SelfEngine101
    @SelfEngine101 11 месяцев назад

    Legend

  •  11 месяцев назад

    4:02 The video in presentation couldn't be played but here's the situation that was described: ruclips.net/video/wnfiXhNVudk/видео.html

  • @ibrahimadiare9821
    @ibrahimadiare9821 11 месяцев назад

    Nice lecture ❤

  • @personalesVideos
    @personalesVideos Год назад

    can you share the architecture and the data domain (data mesh) that you defined?

  • @karlitono
    @karlitono Год назад

    Three wonderful gentlemen!

  • @dokangel
    @dokangel Год назад

    Genius mathematician, as all research mathematicians I know.

  • @buak809
    @buak809 Год назад

    Much respect to Jose for providing us with high quality learning material on Udemy

  • @tommystone5958
    @tommystone5958 Год назад

    🤘 *PromoSM*

  • @mono_to_STEREO
    @mono_to_STEREO Год назад

    Thank you Filip and Stipe! 👍🏻👍🏻

  • @GrantCastillou
    @GrantCastillou Год назад

    It's becoming clear that with all the brain and consciousness theories out there, the proof will be in the pudding. By this I mean, can any particular theory be used to create a human adult level conscious machine. My bet is on the late Gerald Edelman's Extended Theory of Neuronal Group Selection. The lead group in robotics based on this theory is the Neurorobotics Lab at UC at Irvine. Dr. Edelman distinguished between primary consciousness, which came first in evolution, and that humans share with other conscious animals, and higher order consciousness, which came to only humans with the acquisition of language. A machine with primary consciousness will probably have to come first. What I find special about the TNGS is the Darwin series of automata created at the Neurosciences Institute by Dr. Edelman and his colleagues in the 1990's and 2000's. These machines perform in the real world, not in a restricted simulated world, and display convincing physical behavior indicative of higher psychological functions necessary for consciousness, such as perceptual categorization, memory, and learning. They are based on realistic models of the parts of the biological brain that the theory claims subserve these functions. The extended TNGS allows for the emergence of consciousness based only on further evolutionary development of the brain areas responsible for these functions, in a parsimonious way. No other research I've encountered is anywhere near as convincing. I post because on almost every video and article about the brain and consciousness that I encounter, the attitude seems to be that we still know next to nothing about how the brain and consciousness work; that there's lots of data but no unifying theory. I believe the extended TNGS is that theory. My motivation is to keep that theory in front of the public. And obviously, I consider it the route to a truly conscious machine, primary and higher-order. My advice to people who want to create a conscious machine is to seriously ground themselves in the extended TNGS and the Darwin automata first, and proceed from there, by applying to Jeff Krichmar's lab at UC Irvine, possibly. Dr. Edelman's roadmap to a conscious machine is at arxiv.org/abs/2105.10461

  • @1998sini
    @1998sini Год назад

    🤯🤯🤯 🤓💪🦾

  • @vefaayyldz5488
    @vefaayyldz5488 Год назад

    <3

  • @DeanRKern
    @DeanRKern Год назад

    nice work! :)

  • @MichaelRada-INDUSTRY50
    @MichaelRada-INDUSTRY50 Год назад

    Dear DSC team, your teaser was delivered to me during the latest INDUSTRY 5.0 DEVELOPMENT control. I am happy the results of my work speak to you. My name is Michael Rada, I am the Founder of INDUSTRY 5.0 and implement its principles in companies and businesses since 2013 already and just wonder what will the audience say if INDUSTRY 5.0 would be delivered by its Founder reflection not only 9 years of implementation but the outlook on upcoming global changes. If interested contact me