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Big Things Conference
Spain
Registrace 20. 09. 2012
A BIG conference about BIG THINGS - Big Data, AI, Machine Learning, IoT, Blockchain. The videos published on this channel include talks, workshops, round-tables, interviews and recaps of the events. For more info: www.bigthingsconference.com/
Big Things Conference 11th edition coming soon
Have you missed the Big Things Conference? We too... Don't worry, the next 11th Edition is coming soon. Stay tuned to our social media, we will have exciting news from #BIGTH23 soon. 📢📢📢
zhlédnutí: 123
Video
Bringing AI to Low-Income Countries to Boost Global Health, Africa Periañez Founder at benshi.ai
zhlédnutí 191Před 2 lety
Bringing AI to Low-Income Countries to Boost Global Health África Periáñez Founder & CEO at benshi.ai Keynote | Technical | English Artificial intelligence (AI) developments in healthcare tend to focus on the needs of wealthier countries, where most research is concentrated. But it is in low- and middle-income countries (LMICs), where the lack of training and resources for professionals hinder ...
Similarities and differences of Spark, Dask, and Ray by Holden Karau
zhlédnutí 2,1KPřed 2 lety
Similarities and differences of Spark, Dask, and Ray by Holden Karau at Big Thins Conference 2021
Do Data Scientists have a future in the era of Machine Learning automation? by Nerea Luis Mingueza
zhlédnutí 220Před 2 lety
Do Data Scientists have a future in the era of Machine Learning automation? by Nerea Luis Mingueza at Big Things Conference. In Artificial Intelligence, the figure of “Data Scientist” quickly found its niche in companies to create, train and experiment with data and models. All this work was done manually working with Jupyter Notebooks and Python libraries… and a lot of patience! A few years ag...
What is the role of Product Managers in an ML powered product? by Oren Steinberg
zhlédnutí 849Před 2 lety
As Machine Learning (ML) plays a growing role in products, we will take a new look at the role of Product Managers in ML powered products. From Use Case qualification and PoC design, to collaborating with data scientists and using feedback loops. We will double click on key questions: how can an ML powered product earn users trust, what role does the PM have in ascertaining data quality, what h...
The Top 5 Cutting-Edge Use Cases and Architectures for Data in Motion by Kai Waehner
zhlédnutí 239Před 2 lety
With just a few weeks of 2021 left, it’s time to make some predictions on the top use cases for data in motion to see in 2022. Given the unpredictability of 2021 this may seem brave or even a little fool-hardy but Kai Waehner is willing to strike out and offer his predictions for next year. Kai will discuss his top five cutting-edge use cases and architectures for event streaming that will be a...
Overcoming Event-driven Microservices challenges with Dapr by Carlos Mendible
zhlédnutí 751Před 2 lety
Microservices architectures are inherently distributed and building such solutions always bring interesting challenges to the table: resilient service invocation, distributed transactions, on-demand scaling, idempotent message processing and more. Deploying Microservices on Kubernetes doesn’t solve these problems and Developers need to learn and use many SDK’s on top of frameworks such as .NET,...
ID document verification system for an easy and secure eID onboarding by Jesús Alonso and Kais Dai
zhlédnutí 423Před 2 lety
Electronic identities (eIDs) have emerged as a novel way of identity proving under the umbrella of the digital revolution the society is experiencing in the last decades. Within these solutions access is successfully provided by means of either a password or a set of biometric features. However, these access methods are not enough for the onboarding process in which the digital identity is crea...
Production-grade ML Pipelines - From Data To Metadata by Jörg Schad
zhlédnutí 220Před 2 lety
It is well known that data quality and quantity are crucial for building Machine Learning models, especially when dealing with Deep Learning and Neural Networks. But besides the data required to build the model itself, there is another often overlooked type of data required to build a production-grade Machine Learning Platform: Metadata. Modern Machine Learning platforms contain a number of dif...
Implementing a multi-cloud CDP in Google Compute Platform by Kevin Daly and Juan Manuel Pozo
zhlédnutí 174Před 2 lety
Our purpose is to provide an analysis of the basic objectives and value propositions of any Customer Data Platform by encouraging discussion with participants and sharing our own experience. In this sense, we would like to have the opportunity to present a production use case of a multi-cloud Customer Data Platform. A posteriori, to enrich our presentation, we will start a discussion on the rea...
Zoom for All by Harry D. Moseley
zhlédnutí 31Před 2 lety
Over the last year, workforces everywhere have had to navigate the pandemic’s many ups and downs. For many, offices were re-opened, then closed again. If there is anything we’ve learned from this, it’s that we need to better prepare our organizations to be flexible and adapt quickly to change.
AI Opens New Doors for Meaningful Participation in Wildlife Research by Jason Holmberg
zhlédnutí 82Před 2 lety
While many companies struggle to understand how AI will change their industries, wildlife conservation has no lack of immediate challenges for the data science and machine learning skills often locked up in large, for-profit organizations. From spotted hyenas to leafy seadragons, there is an amazing window of opportunity for technologists to be a part of deeply meaningful discoveries in collabo...
The Future of the Global Space Industry in an Exponential World by Emeline Paat-Dahlstrom
zhlédnutí 48Před 2 lety
Over the past decade, the global space industry has been growing at an accelerated pace. From reusable rockets, to opportunities for private space flights and tourism, to up and coming cis-lunar activities by both governmental agencies and private companies. Space as the next frontier is fueling new interest from investors and startups across the globe. The speaker will explore the current and ...
How long does it take to sell my home? Survival analysis in housing markets by Alessandro Galesi
zhlédnutí 146Před 2 lety
It is common to have many doubts when dealing with real estate markets. When looking for a house, we usually ask ourselves “How much should that house be worth?” or “Is there a neighborhood similar to the one I like?” On the contrary, when selling a house, apart from the obligatory doubt, “At which price should I put the ad?”, we might ask ourselves “Why can’t I sell my apartment? or “How can I...
Space Traffic Management - The future of spaceflight by Kai-Uwe Schrogl
zhlédnutí 158Před 2 lety
Outer Space is getting more and more congested and contested. Governmental and private, scientific and commercial as well as civilian and military space activities expand in an unknown speed. Starting with a US-Soviet space race, we now see more than 70 countries operating their own satellites. Furthermore a global space economy has developed, which now amounts to more than 350 billion Euros an...
NLP in Legaltech - Empowering our lawyers with language models by Álvaro Barbero
zhlédnutí 1,2KPřed 2 lety
NLP in Legaltech - Empowering our lawyers with language models by Álvaro Barbero
Let me Share my Source Code! Hacking Frank’s DNA by Frank Munz
zhlédnutí 88Před 2 lety
Let me Share my Source Code! Hacking Frank’s DNA by Frank Munz
User Oriented Development Process by Viacheslav Kovalevskyi
zhlédnutí 128Před 2 lety
User Oriented Development Process by Viacheslav Kovalevskyi
Process Mining by Alberto Fernández & Marta Arranz
zhlédnutí 38Před 2 lety
Process Mining by Alberto Fernández & Marta Arranz
Working with time-series data at scale by Javier Ramírez
zhlédnutí 150Před 2 lety
Working with time-series data at scale by Javier Ramírez
How Transformers can “transform” how we fight against fake news by Rubén Míguez
zhlédnutí 156Před 2 lety
How Transformers can “transform” how we fight against fake news by Rubén Míguez
Cabimaps: Can we beat routing providers at their own machine learning game? by Jesús Montes
zhlédnutí 586Před 2 lety
Cabimaps: Can we beat routing providers at their own machine learning game? by Jesús Montes
Building Data Literacy as the Foundation of your Enterprise Data Culture by Eva Murray
zhlédnutí 92Před 2 lety
Building Data Literacy as the Foundation of your Enterprise Data Culture by Eva Murray
Change for the Better: Improving Predictions by Automating Drift Detection
zhlédnutí 396Před 2 lety
Change for the Better: Improving Predictions by Automating Drift Detection
Data Fabric, Transform your Frozen Data into liquid adaptable Data by Oscar Mendez at #BIGTH21
zhlédnutí 120Před 2 lety
Data Fabric, Transform your Frozen Data into liquid adaptable Data by Oscar Mendez at #BIGTH21
Good AI for Good by Richard Benjamins at #BIGTH21
zhlédnutí 124Před 2 lety
Good AI for Good by Richard Benjamins at #BIGTH21
Unexplainable AI: Why machines are acting in that way by Moisés Martínez at #BIGTH21
zhlédnutí 100Před 2 lety
Unexplainable AI: Why machines are acting in that way by Moisés Martínez at #BIGTH21
How to use technology to solve the greatest challenges of our Planet? by Nacho Rivera at #BIGTH21
zhlédnutí 148Před 2 lety
How to use technology to solve the greatest challenges of our Planet? by Nacho Rivera at #BIGTH21
AI for Accessibility: how I became a developer by Sandra Timón and Ane Iturzaeta at #BIGTH21
zhlédnutí 107Před 2 lety
AI for Accessibility: how I became a developer by Sandra Timón and Ane Iturzaeta at #BIGTH21
28:21 "can we use this to measure multiple events that overlap in time?" "that's an open research question" Well I hope someone answered that in the last 8 years because that's why I'm here
Its all imputation finally :) I loved the approach! Thanks for the presentation!
Wow this video was posted 7 years ago and it is still so relevant today, in the world of “AI”. Great presentation and some of the questions answered at the end were spot on. Thanks for the awesome presentation!
Thank you for this video, it helped me a lot for my research. you're great
How to take out transaction of each block?
Excellent presentation.. Thank you!
If you could travel to the future from when you posted this video, you would come to a conclusion that in 2024 this is still extremely relevant. Great presentation!
i would like to make the option at 16:30 - pre-intervention, intervention and post-intervention, not only the classic pre and post period
He is amazing presenter! Many thanks
❤
Thank you for the presentation. Must be noted that the validity of this approach is entirely dependent on the ability to accurately extrapolate the control scenario based on observational data. In a nutshell, it relies on our ability to 'randomize' the treatment and control groups via adequate control variables. If, on the other hand, we miss a key variable in our extrapolation model, the estimated causal effect of the variable in question will be biased. This causal estimation is nothing but a way to approximate a randomized experiment scenario via a model which attempts to control for all relevant outcome drivers.
Exactly I agree with you, It is like a prediction based on a prediction.
Such a great explaination! Thank you
Kay has very concisely explained what a super power a Marketing Analyst has to their exposure. He is a really good presenter.
Thanks, Kay Brodersen Rajavel KS, Bengaluru.
what if we only got post period, is it feasible to do it?
Great presentation 👏
Great video
окей, если несколько тритментов, почему мы не можем посчитать один, а потом его вычесть из временного ряда во втором тритменте, чтобы оставить влияние только одного изменения?
I was reading the reaseach paper but got to know about your video and my week work covered by your 30:38 mins. Amazing presentation!!!!
FANTASTIC Presentation!
What if we dont have a high correlated time series to train the model ¿
Cut off at the end =(
Can independent variables in the above example be considered to be instrumental variables?
This is so amazing
Wow. I have finally found the answers to what has been bugging my head for a long time. Thanks a lot!
Wow! Really cool library, amazing presentation. Can't believe I didn't know this was a thing.
Great presentation, it is not only a paper issue but an actual one. It really works.
I keep being amazed!
Fantastic talk! Thanks for sharing
Amazing presentation, I am currently working with this tool and you made things so much clearer, congratulations
Fantastic talk. Thanks for sharing
Really different approach! I really feel good when I love your presentation
very illustrative. thx
Hi Great job!!! Could you please tell me your email address or email me on naeemurself@gmail.com? I am also working on feature selection and I am want to know some about some problems personally. Thanks in advance.
This made my career
Best explanation on prescriptive I found so far. Thank you.
great talk and great questions from Q&A session. want to know more about how to choose the predictor time series.
A very clear presentation about the CAUSAL IMPACT tool! Thanks!
Great talk!
His way of hmm hmm..., speaking is just hmm hmm hmm frustating. I had to use x1.5 speed.
any way to get the data set of the link? it seems missing
excellent explanation!
Excellent Presentation on Causal Analysis
This man is a hack fraud.
One of the best presentations. Thanks a ton for explaining this so beautifully!
thanks
Dude this was incredible. Went through the whole work flow so well. Thank you.
I can't read that s-expression guys. Please help. I'm desperately trying to follow.
GOT IT! Edit: The expression is (with JSON) ["if",["=",["field","loan_status"],"Full Paid"], "Good", "Bad"] Or (in Lisp): (if (= (field "loan_status") "Fully Paid") "Good" "Bad")
You, sir, are an outstanding presenter. This was perfect. Thank you for developing and releasing the package and thank you for providing this excellent presentation.
Is there a guide to design a model architecture: number of layers, nodes... ?