Канал: Confer Conference

dbt is not solving our problems, can SQLMesh take over? – Magnus Fagertun

dbt is not solving our problems, can SQLMesh take over? – Magnus Fagertun

Patterns, Predictions, and Programming - ML tools for Java – Frank Greco

Patterns, Predictions, and Programming - ML tools for Java – Frank Greco

Clean code, is it really worth it? – Jonathan Vila

Clean code, is it really worth it? – Jonathan Vila

SLSA, SigStore, SBOM and Software Supply Chain Security – Abdel Sghiouar

SLSA, SigStore, SBOM and Software Supply Chain Security – Abdel Sghiouar

Introduction to Web Machine Learning with TensorFlow.js – Patty O'Callaghan

Introduction to Web Machine Learning with TensorFlow.js – Patty O'Callaghan

Machine Learning Applications of Genetic Algorithms – Eyal Wirsansky

Machine Learning Applications of Genetic Algorithms – Eyal Wirsansky

Removing Superfluous Traffic Signs from Maps with Machine learning

Removing Superfluous Traffic Signs from Maps with Machine learning

Introduction to Leveraging AI for Your Enterprise – JJ Asghar

Introduction to Leveraging AI for Your Enterprise – JJ Asghar

Open standards for building event-driven applications in the cloud – Mete Atamel

Open standards for building event-driven applications in the cloud – Mete Atamel

Triggering event based jobs in Google Cloud – Ruben Blazquez Cob

Triggering event based jobs in Google Cloud – Ruben Blazquez Cob

Pee, poop and boobies – Veronika Heimsbakk

Pee, poop and boobies – Veronika Heimsbakk

On-Device Generative AI: Building your own Dall-E in the browser, welcome WebGPU – Rabimba Karanjai

On-Device Generative AI: Building your own Dall-E in the browser, welcome WebGPU – Rabimba Karanjai

Data visualization with focus on the user – Marthe Nikoline Elsrud

Data visualization with focus on the user – Marthe Nikoline Elsrud

What is happening with my microservices? An observability story – Israel Blancas Álvarez

What is happening with my microservices? An observability story – Israel Blancas Álvarez

Move fast Build things… Safely! – Mohammed Aboullaite

Move fast Build things… Safely! – Mohammed Aboullaite

Knowledge Graphs – Joakim Nilsson

Knowledge Graphs – Joakim Nilsson

Cashierless, AI-powered stores – Kamil Rzechowski

Cashierless, AI-powered stores – Kamil Rzechowski

Technical Documentation - How Can I Write Them Better and Why Should I Care? – Hila Fish

Technical Documentation - How Can I Write Them Better and Why Should I Care? – Hila Fish

Digital Innovation: From Idea to Impact – Eline Lubbers

Digital Innovation: From Idea to Impact – Eline Lubbers

AI in Healthcare:Hype, Hope, and Hurdles – Ishita Barua

AI in Healthcare:Hype, Hope, and Hurdles – Ishita Barua

Exploring Streaming platforms for MLOps – Mary Grygleski

Exploring Streaming platforms for MLOps – Mary Grygleski

Responsible AI in every Microsoft Product - What does it take? – Lars Ruddigkeit

Responsible AI in every Microsoft Product - What does it take? – Lars Ruddigkeit

Kubernetes Operators? in Java? ...Hold my mouse and look – Jonathan Vila

Kubernetes Operators? in Java? ...Hold my mouse and look – Jonathan Vila

Serverless data pipeline orchestration with Google Workflows – Guillaume Blaquiere

Serverless data pipeline orchestration with Google Workflows – Guillaume Blaquiere

Estimating the Carbon Footprint of Machine Learning – Magdalena Stenius

Estimating the Carbon Footprint of Machine Learning – Magdalena Stenius

Make Your Data FABulous – Philipp Krenn

Make Your Data FABulous – Philipp Krenn

Causal Inference in Machine Learning – Andrés-Leonardo Martínez-Ortiz

Causal Inference in Machine Learning – Andrés-Leonardo Martínez-Ortiz

Machine learning in production at Ruter – David Skålid Amundsen

Machine learning in production at Ruter – David Skålid Amundsen

Bringing AI Ethics from Priciples to Practice – Michael Puntschuh

Bringing AI Ethics from Priciples to Practice – Michael Puntschuh

The Knowledge Graphs are coming – Julia Flament-Wallin

The Knowledge Graphs are coming – Julia Flament-Wallin

How we reduced our BigQuery bills with BI Engine capacity orchestration – Marton Kodok

How we reduced our BigQuery bills with BI Engine capacity orchestration – Marton Kodok

CI/CD with Cloud Build: architecture, tips and tricks – Guillaume Blaquiere

CI/CD with Cloud Build: architecture, tips and tricks – Guillaume Blaquiere

AI and Sustainability: A convergence of two worlds – Aiko Yamashita

AI and Sustainability: A convergence of two worlds – Aiko Yamashita

AI Observability: How To Fix Issues With Your ML Model – Danny D. Leybzon

AI Observability: How To Fix Issues With Your ML Model – Danny D. Leybzon

Wonders of Semantic Knowledge Graphs – Veronika Heimsbakk

Wonders of Semantic Knowledge Graphs – Veronika Heimsbakk

When Will My Package Arrive? Using Machine Learning To Learn Business Logic – Simon Simonsson

When Will My Package Arrive? Using Machine Learning To Learn Business Logic – Simon Simonsson

Ethics of AI: What can we learn from Asimov's Three Laws of Robotics? – Patty O'Callaghan

Ethics of AI: What can we learn from Asimov's Three Laws of Robotics? – Patty O'Callaghan

Neural Differential Equations for Timeseries Forecasting in Julia – Stephan Sahm

Neural Differential Equations for Timeseries Forecasting in Julia – Stephan Sahm

Intro to AI Design + Development workshop – A. Rosa Castillo

Intro to AI Design + Development workshop – A. Rosa Castillo

The need for a multi-disiplinary approach to AI – Julia Flament-Wallin

The need for a multi-disiplinary approach to AI – Julia Flament-Wallin

Machine learning and data driven decision-making – Stanislav Polyakov

Machine learning and data driven decision-making – Stanislav Polyakov

Take a Seat: Reinforcement Learning for Social Distancing – Arturs Berzins

Take a Seat: Reinforcement Learning for Social Distancing – Arturs Berzins

Robustness in AI: How to avoid critical errors in Production – Elyes Manai

Robustness in AI: How to avoid critical errors in Production – Elyes Manai

What's next after chatbot? Introducing Emailbot and Documentbot, next generation NLU solutions

What's next after chatbot? Introducing Emailbot and Documentbot, next generation NLU solutions

Optimizing Advertising Effectiveness Using AI – Eirik Friberg Ekrann

Optimizing Advertising Effectiveness Using AI – Eirik Friberg Ekrann

Using synthetic data for training Computer Vision – Helge Reikerås

Using synthetic data for training Computer Vision – Helge Reikerås

The Rise of Platform Engineering – Hans Kristian Flaatten

The Rise of Platform Engineering – Hans Kristian Flaatten

DNB's Journey towards Ethical AI and Data – Aiko Yamashita

DNB's Journey towards Ethical AI and Data – Aiko Yamashita

AbadIA: How to build an AI from zero to learn to play and solve a tough game – Juantomas Garcia

AbadIA: How to build an AI from zero to learn to play and solve a tough game – Juantomas Garcia

Kubernetes for data professionals – Abdellfetah SGHIOUAR

Kubernetes for data professionals – Abdellfetah SGHIOUAR

Anomaly detection in systems with unknown anomalies – Katarzyna Michalowska

Anomaly detection in systems with unknown anomalies – Katarzyna Michalowska

My Robots and AI 4 Good – Selin Alara Ornek

My Robots and AI 4 Good – Selin Alara Ornek

The Design of Things: Designing for AI, IoT, Conversations, and The Future – Siddhant Agarwal

The Design of Things: Designing for AI, IoT, Conversations, and The Future – Siddhant Agarwal

Time series forecasting and anomaly detection with BigQuery ML– Stephanie Wang and Polong Lin

Time series forecasting and anomaly detection with BigQuery ML– Stephanie Wang and Polong Lin

Brahe and Kepler - The first BIG DATA scientists – Vegard Lundby Rekaa

Brahe and Kepler - The first BIG DATA scientists – Vegard Lundby Rekaa

Fortellinger fra vandringen mellom tekst til kunnskap – Veronika Heimsbakk

Fortellinger fra vandringen mellom tekst til kunnskap – Veronika Heimsbakk

Dealing with biased experimental data – Sherif Ahmed

Dealing with biased experimental data – Sherif Ahmed

Machines drawing hearts – Georg Muntingh

Machines drawing hearts – Georg Muntingh

An Empirical Analysis of Transfer Learning for Generative Adversarial Networks – Awadelrahman Ahmed

An Empirical Analysis of Transfer Learning for Generative Adversarial Networks – Awadelrahman Ahmed

5 tips on creating modern, cloud native applications – Rustam Mehmandarov

5 tips on creating modern, cloud native applications – Rustam Mehmandarov

Computer ethics matter – Tannaz Roshandel

Computer ethics matter – Tannaz Roshandel

From Data to Churn Prediction – Astrid Johnsen Tessem and Silje Hindenes

From Data to Churn Prediction – Astrid Johnsen Tessem and Silje Hindenes

AI from Magic to Science – Gant Laborde

AI from Magic to Science – Gant Laborde

GANs for the Assessment of Wind Flow for Pedestrian Comfort in Urban Areas – K. Gjerde & H. Hoiness

GANs for the Assessment of Wind Flow for Pedestrian Comfort in Urban Areas – K. Gjerde & H. Hoiness

Confer Conf 2023: TRACK 1

Confer Conf 2023: TRACK 1

Gant Laborde – Adventures of AI in JavaScript

Gant Laborde – Adventures of AI in JavaScript

Vivek Bharadwaj – Building human centred AI applications in retail

Vivek Bharadwaj – Building human centred AI applications in retail

Håkan Silfvernagel – Affective Computing – bringing humans and machines closer through emotions

Håkan Silfvernagel – Affective Computing – bringing humans and machines closer through emotions

Kshitiz Rimal – On Device Machine Learning

Kshitiz Rimal – On Device Machine Learning

Håkan Silfvernagel – Machine learning in the browser with TensorFlow.js

Håkan Silfvernagel – Machine learning in the browser with TensorFlow.js

Rustam Mehmandarov and Tannaz Roshandel – Living on the Cloud's Edge

Rustam Mehmandarov and Tannaz Roshandel – Living on the Cloud's Edge

Brede Bjørhovd og Snorre Alm Harestad – Dyp læring for segmentering av barnehjerter

Brede Bjørhovd og Snorre Alm Harestad – Dyp læring for segmentering av barnehjerter

Svetlana Levitan – Open standards for machine learning model deployment

Svetlana Levitan – Open standards for machine learning model deployment

Kjetil Wick Sætre – Legal aspects of AI

Kjetil Wick Sætre – Legal aspects of AI

Stephen Allwright – User focused Data Science

Stephen Allwright – User focused Data Science

Summaya Mumtaz – Knowledge Based Similarity Measures in Data Mining

Summaya Mumtaz – Knowledge Based Similarity Measures in Data Mining

Lesly Zerna – Understanding AI: the importance of design and diversity

Lesly Zerna – Understanding AI: the importance of design and diversity

Marton Kodok – Supercharge your data analytics with BigQuery ML

Marton Kodok – Supercharge your data analytics with BigQuery ML

Marcia Villalba – Building serverless analytics pipelines

Marcia Villalba – Building serverless analytics pipelines

Heli Helskyaho – Introduction to Deep Learning

Heli Helskyaho – Introduction to Deep Learning

Wei Meng Lee – What you always wanted to know about Deep Learning, but were afraid to ask

Wei Meng Lee – What you always wanted to know about Deep Learning, but were afraid to ask

Akshay Bahadur – Resource Utilization as a metric for Machine Learning

Akshay Bahadur – Resource Utilization as a metric for Machine Learning

Sven Malvik – From Traditional Ops to Cloud Native in Azure

Sven Malvik – From Traditional Ops to Cloud Native in Azure

Marco Bertani Økland and Josephine Honoré – Hands on introduction to Fair ML pipelines

Marco Bertani Økland and Josephine Honoré – Hands on introduction to Fair ML pipelines

Kjetil Åmdal-Sævik – Death, Taxes, and Boosting

Kjetil Åmdal-Sævik – Death, Taxes, and Boosting

Sigrid Bjørndal – BERT: Usable state of the Art AI has arrived in Norway

Sigrid Bjørndal – BERT: Usable state of the Art AI has arrived in Norway

Dmitry Soshnikov – Training GAN on Azure Machine Learning to Produce Art

Dmitry Soshnikov – Training GAN on Azure Machine Learning to Produce Art