WeAreDevelopers Courses

Data Science for Business - Repeatable and Objective Data Science Process

Explore the Team Data Science Process (TDSP) for efficient predictive analytics and AI integration in business processes, focusing on agile methodology and practical implementation strategies.

• YouTube
• 21 minutes
• On-Demand
• Conference Talk

AI and Advanced Analytics Applied at Raffeisen Bank International AG

Explore AI and advanced analytics applications in banking, focusing on Raffeisen Bank International's innovative approaches to data-driven decision-making and customer service enhancement.

• YouTube
• 35 minutes
• On-Demand
• Conference Talk

Bixby - A New Take on the Intelligent Assistant

Explore the innovative approach to intelligent assistants with Bixby, featuring insights from Adam Cheyer on its unique capabilities and potential impact on user interactions.

• YouTube
• 49 minutes
• On-Demand
• Conference Talk

Build Your Intelligent Edge

Explore IoT solutions that bring cloud-trained AI and ML closer to devices, enabling offline scenarios and improved product performance near customers.

• YouTube
• 31 minutes
• On-Demand
• Conference Talk

Real Life Customer Stories with AI

Explore real-world AI applications through customer stories, focusing on Machine Learning, Computer Vision, and Cognitive Services solutions developed for specific business scenarios.

• YouTube
• 38 minutes
• On-Demand
• Conference Talk

Bridging the Gap Between AI and UI

Explore methods for understanding AI model predictions and their input features, with a focus on RNN in NLP. Learn novel ideas for incorporating visualizations to enhance user experience and retention.

• YouTube
• 20 minutes
• On-Demand
• Conference Talk

On the Importance of Explainability

Explores the critical need for AI explainability, especially in fields like medicine and law. Discusses challenges, regulations, and the importance of understanding AI decision-making processes beyond performance metrics.

• YouTube
• 32 minutes
• On-Demand
• Conference Talk

Remaining Challenges in Deep Learning Based NLP

Explores remaining challenges in Deep Learning-based NLP, including data limitations, performance metrics, robustness issues, representation problems, and lack of interpretability, despite recent advancements and media hype.

• YouTube
• 31 minutes
• On-Demand
• Conference Talk

How A1 Implements Analytics

Explore A1 Austria's journey in Advanced Analytics & AI, from initial experiments to strategic implementation, including insights on mobility data applications and future potential.

• YouTube
• 25 minutes
• On-Demand
• Conference Talk

What Security Measures Are Necessary to Trust in AI - Panel Discussion

Experts discuss crucial security measures for building trust in AI, exploring challenges and solutions in implementing reliable and ethical artificial intelligence systems.

• YouTube
• 45 minutes
• On-Demand
• Conference Talk

Data Mining for Security Anomalies

Explore techniques for collecting, processing, and mining security event data to detect anomalies and generate actionable insights for improved system protection.

• YouTube
• 34 minutes
• On-Demand
• Conference Talk

Explore Cognitive Services

Discover how AI can enhance applications with natural communication methods, enabling them to interpret user needs through sight, sound, and speech.

• YouTube
• 35 minutes
• On-Demand
• Conference Talk

Learning Fast - Home Experimentation and Open Research at Spotify

Discover how Spotify personalizes user experiences through machine learning, rapid experimentation, and open research. Learn about home screen optimization and playlist recommendations in this insightful talk.

• YouTube
• 28 minutes
• On-Demand
• Conference Talk

The Contradiction Bot

Explore AI-driven bots that detect contradictions in vast datasets, using semantic analytics for analysis and interpretation, with potential blockchain integration for enhanced security.

• YouTube
• 22 minutes
• On-Demand
• Conference Talk

Of San Francisco and Cleaning Pipes

Andreas Klinger discusses his career journey, distributed teams, engineering leadership, and Silicon Valley experiences, offering insights on productivity, feedback, and hiring in tech.

• YouTube
• 21 minutes
• On-Demand
• Conference Talk