
Entertaining talk exploring Activiti BPM Platform's architecture through real-world examples like crypto tokens, web crawlers, AI, and IoT, offering insights into innovative problem-solving strategies for developers.

Explore challenges and strategies for testing AI-driven applications. Learn why thorough testing is crucial and how to prepare for this emerging field in software development.

Explore text embedding algorithms' surprising effectiveness in recommendation systems, outperforming state-of-the-art models while offering efficiency for large-scale applications.

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

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

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

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.

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.

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

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

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.

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.

Explore Ocean Protocol's decentralized marketplace for AI data, enabling secure sharing and monetization while preserving privacy and control for data owners and consumers.

Explore the challenges of obtaining quality data for AI applications in security and other fields, focusing on data acquisition methods and assessing data quality for effective research and development.

Explore augmented intelligence, combining human and machine strengths for enhanced decision-making. Learn about its benefits, challenges, and real-world applications in various industries.

Explore the paradigm shift in AI adoption, its impact across industries, and strategies for successful AI projects. Learn how developers can leverage AI to create innovative solutions and drive positive change.

Explore AI applications in humanoid robots, including current functions and future developments. Learn about the differences between natural and artificial intelligence in human-robot interactions.

Explore state-of-the-art deep learning techniques for recommender systems, including collaborative filtering, content-based methods, and complex architectures like autoencoders and RNNs for personalized recommendations.

Explore AI's role in enhancing workplace productivity, enabling better insights, and improving business processes. Learn about integrating AI into existing tools for more intelligent and contextualized experiences.

Learn to develop an end-to-end iOS app using Apple's machine learning tools, Create ML and CoreML, for on-device AI without data transmission.

Explore building intelligent workplace apps using business data, adaptive cards, and serverless computing. Learn to implement image recognition and OCR for enhanced user experiences in line-of-business solutions.