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Big Things Conference @UCrg3m_-ydPRcHDenTuIw5bA@youtube.com

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A BIG conference about BIG THINGS - Big Data, AI, Machine Le


00:20
Big Things Conference 11th edition coming soon
42:13
Bringing AI to Low-Income Countries to Boost Global Health, Africa Periañez Founder at benshi.ai
27:50
Similarities and differences of Spark, Dask, and Ray by Holden Karau
37:54
Do Data Scientists have a future in the era of Machine Learning automation? by Nerea Luis Mingueza
41:46
What is the role of Product Managers in an ML powered product? by Oren Steinberg
36:44
The Top 5 Cutting-Edge Use Cases and Architectures for Data in Motion by Kai Waehner
36:02
Overcoming Event-driven Microservices challenges with Dapr by Carlos Mendible
36:46
ID document verification system for an easy and secure eID onboarding by JesĂșs Alonso and Kais Dai
35:33
Production-grade ML Pipelines – From Data To Metadata by Jörg Schad
28:51
Implementing a multi-cloud CDP in Google Compute Platform by Kevin Daly and Juan Manuel Pozo
33:53
Zoom for All by Harry D. Moseley
46:18
AI Opens New Doors for Meaningful Participation in Wildlife Research by Jason Holmberg
34:16
The Future of the Global Space Industry in an Exponential World by Emeline Paat-Dahlstrom
40:49
How long does it take to sell my home? Survival analysis in housing markets by Alessandro Galesi
25:47
Space Traffic Management – The future of spaceflight by Kai-Uwe Schrogl
36:36
NLP in Legaltech – Empowering our lawyers with language models by Álvaro Barbero
34:57
Let me Share my Source Code! Hacking Frank’s DNA by Frank Munz
40:36
User Oriented Development Process by Viacheslav Kovalevskyi
38:46
Process Mining by Alberto FernĂĄndez & Marta Arranz
41:11
Working with time-series data at scale by Javier RamĂ­rez
40:54
How Transformers can “transform” how we fight against fake news by RubĂ©n MĂ­guez
33:53
Cabimaps: Can we beat routing providers at their own machine learning game? by JesĂșs Montes
39:15
Building Data Literacy as the Foundation of your Enterprise Data Culture by Eva Murray
43:11
Graph Data Science by Paco Nathan
36:42
Change for the Better: Improving Predictions by Automating Drift Detection
53:52
Data Fabric, Transform your Frozen Data into liquid adaptable Data by Oscar Mendez at #BIGTH21
38:01
Good AI for Good by Richard Benjamins at #BIGTH21
36:32
Unexplainable AI: Why machines are acting in that way by Moisés Martínez at #BIGTH21
35:09
How to use technology to solve the greatest challenges of our Planet? by Nacho Rivera at #BIGTH21
44:08
AI for Accessibility: how I became a developer by Sandra TimĂłn and Ane Iturzaeta at #BIGTH21
01:05
Making-of Big Things Conference 2021
01:48
Thank you for attending Big Things Conference 10th edition!
06:06
We close the first day of #BIGTH21
02:15
Big Things 2021, our 10th anniversary
01:11
Welcome to Big Things Conference 2021!!
32:30
From Acorn to Oak: Seeding Federated Learning with Physical Models by Peter Webb and Lucio Cetto
39:15
Graphs for Analytics. The power of connections to understand the world by Josep Tarruella
40:22
Ray Project: Business Perspectives by Paco Nathan
41:42
Real-time digital platforms – how to win the race for time by JosĂ© Ruiz y RubĂ©n Gil GĂłmez
46:11
The COVID-19 impact on Consumption in Real Time and High Definition by Tomasa Rodrigo
39:02
Optimus Price: Dynamically Adapting to the Marketplace by Toni Prada
40:11
Next step of AI: How to add Causal Reasoning using only Observational Data by Rubén Martínez
48:43
How to Mitigate Adversarial Attacks to Computer Vision Systems by Guglielmo Iozzia
46:51
Computational Language & Artifacts from the Future by Stephen Wolfram
37:26
Cloud Process History: Shaking your Data into the Cloud by Alberto GarcĂ­a HernĂĄndez
38:13
Fine-tuning language models for spanish NLP tasks by Álvaro Barbero Jiménez
33:21
Predicted risk of future chronic diseases by Eduardo W. Jorgensen
29:03
Automated semantic segmentation of large datasets by Arvind Hosagrahara
43:20
The Rise of Voice Technologies by GermĂĄn Viscuso
41:59
Corrosion Detection in Repsol Refineries by Emilio MartĂ­n Gallardo and Elena Tomas
01:05:30
Unsupervised real-time anomaly detection and root cause estimation by Aitor Landete and Pablo Mateos
40:36
Tokenizing Flight’s CO2 emissions in COVID times by Pedro García and Alberto Uceda
43:53
Federated Machine Learning con TensorFlow by Moisés Martínez
42:23
DataQuality with Artificial Intelligence by FĂĄtima GalĂĄn, Jordina Orcajo and Javier FernĂĄndez
51:25
Using Graphs for promotion management at El Corte Inglés by Miguel Ángel Paris & Juan Carlos Modéjar
39:56
The Data Cloud: A Vision for Data in a Multi-Cloud World by Ross PĂ©rez
37:17
Loc Analytics: How data & AI can change Game Localization by Mario Bergantiños
41:17
Technically Right, Effectively Wrong: The Data Product No Customer Wants by Brian T. O’Neill
32:43
Foundations of Data Teams by Jesse Anderson
37:09
The Story of Computing by Grady Booch