Conference Sessions: Expert Talks, Tech Insights and Innovation
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programming
serverless
Keynote
software architecture
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machine learning (ML)
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46:04
Event Streaming for Multi-Agentic Generative AI Workflows
GOTO Chicago 2024
48:30
ChatGPT from Scratch: How to Train an Enterprise AI Assistant
GOTO Copenhagen 2023
49:54
A Hybrid Intelligence Approach to Developing Generative AI Applications
GOTO Copenhagen 2023
38:52
Developing Machine Learning for Impact
GOTO Amsterdam 2023
41:45
Online Safety Bill: How Global Platforms Use MLOps to Keep People Safe
GOTO Amsterdam 2023
58:14
Analogue Evolution, Digital Revolution: Tipping Points in Technology
YOW! Sydney 2023
52:03
Unleash the Power of Large Language Models (LLMs)
GOTO Amsterdam 2023
37:37
Building Practical, Cost-Efficient GenAI Solutions Using Serverless
GOTO EDA Day Nashville 2023
29:35
Reinforcement Learning - ChatGPT, Playing Games, and More
GOTO Chicago 2023
39:19
Scaling Python for Machine Learning: Beyond Data Parallelism
GOTO Chicago 2023
50:02
Machine Learning For Web3: Realizing The Potential and The Challenge of Censorship Resistance
GOTO Chicago 2023
42:31
A Composer’s Guide to Creating with Generative Neural Networks
GOTO Chicago 2023
50:32
Large Language Models: Friend, Foe, or Otherwise
GOTO Chicago 2023
30:37
Predicting Optimal Temperature in The Transmission System (CTR)
GOTO Aarhus 2023
25:02
Empowering Consumers: Evolution of Software in the Future
GOTO Unscripted
31:29
How Corsearch Manages Software Delivery at Scale
GOTO Amsterdam 2022
38:49
Who's Afraid of the Black Box Models?
GOTO Copenhagen 2021
38:25
Uncluster Your Data Science Using Vaex
GOTO Copenhagen 2021
32:37
A Code-Driven Introduction to Reinforcement Learning
GOTOpia November 2020
14:34
Small is the New Big: Designing Compact Deep Learning Models
GOTO Chicago 2020
27:13
Keys to Building Machine Learning Systems
GOTO Chicago 2020
45:16
Breaking Black-box AI
GOTO Berlin 2019
43:33
Breaking Language Barriers with AI
GOTO Berlin 2019
35:08
How we Built Google Tulip by using Serverless Technology and Machine Learning
GOTO Amsterdam 2019
38:35
From Tic Tac Toe to AlphaGo: Playing games with AI
GOTO Amsterdam 2019
47:13
Conversation AI, the new User Experience
GOTO Amsterdam 2019
43:39
Thinking Like a Data Scientist
GOTO Amsterdam 2019
53:13
Using Kubernetes for Machine Learning Frameworks
GOTO Chicago 2019
44:09
Keep it Clean: Why Bad Data Ruins Projects and How to Fix it
GOTO Chicago 2019
45:58
Accelerating Machine Learning DevOps with Kubeflow
GOTO Chicago 2019
59:54
The Promise and Limitations of AI
GOTO Chicago 2019
35:41
On the Road to Artificial General Intelligence
GOTO Chicago 2019
41:35
Human-Computer Partnerships
GOTO Copenhagen 2018
45:00
Machine Learning: Alchemy for the Modern Computer Scientist
GOTO Copenhagen 2018
34:47
Augmented Reality and Machine Learning cooperation on Mobile
GOTO Copenhagen 2018
31:24
Augmented Reality, Beyond Virtual Objects Floating in Physical Space
GOTO Copenhagen 2018
43:42
TensorFlow Lite: how to Accelerate your Android and iOS App with AI
GOTO Copenhagen 2018
47:31
Machine Learning on Source Code
GOTO Copenhagen 2018
44:07
Building a Smart Security Camera with Raspberry Pi Zero, Java and AWS
GOTO Copenhagen 2018
50:52
Beyond AI
GOTO Copenhagen 2018
43:34
Artificial Intelligence Reloaded - AI Applications in the Industry
GOTO Berlin 2018
45:25
(Deep) Learning to Fly
GOTO Berlin 2018
44:46
Build a Q&A Bot with DeepLearning4J
GOTO Berlin 2018
43:25
Your Superpower User Manual
GOTO Berlin 2018
43:49
Computers are Stupid: Protecting "AI" from Itself
GOTO Berlin 2018
45:34
Production Model Deployment
GOTO Chicago 2018
53:06
Deep Learning in Medicine: An Introduction and Applications to Next-generation Sequencing and Disease Diagnostics
GOTO Amsterdam 2018
45:13
Applied AI: Real-World Use Cases for Microsoft’s Azure Cognitive Services
GOTO Amsterdam 2018
55:27
Deep Learning for Developers
GOTO Amsterdam 2018
27:59
Delivering AI on Code: Live Demo of source{d}
GOTO Chicago 2018
52:39
Machine Learning with TensorFlow and Google Cloud
GOTO Copenhagen 2017
36:57
One does not simply put Machine Learning into Production
GOTO Copenhagen 2017