
Explore organizational impact on software development, team dynamics, and strategies to enhance productivity and product quality. Learn to navigate technical debt, rewriting challenges, and team structuring.

Explore the ethical implications of AI and biometric data in healthcare and beyond. Discover who has access to your genetic information and why it matters for privacy and security.

Explore ML applications in cargo capacity management, focusing on booking control problems and predicting solution costs for discrete optimization in revenue management.

Discover how NAB improved employee productivity and customer experience with an AI-powered tech support chatbot using Microsoft Azure Cognitive Services and Bot Framework.

Explore algorithmic opportunities in matching markets, focusing on innovative approaches and their potential impact on economic efficiency and social welfare.

Explore graph-native ML for enhanced predictions using relationship data. Learn graph feature engineering, ML techniques, and hands-on applications to leverage network structures in your data science models.

Learn how Comcast built an Advanced Applications Engineering team to develop the XFINITY TV app, driving innovation and meeting mobile app development demands for Xfinity and beyond.

Explore techniques for explaining non-linear models, showing feature contributions, and performing what-if analysis using Spark ML. Implement these methods to enhance model interpretability and enable interactive prediction exploration.

Designing an intelligent, event-driven data platform for EFSA's digital transformation, enhancing transparency in food safety risk assessment through Azure and Databricks technologies.

Learn to make a compelling business case for Kubernetes adoption, focusing on cost optimization, DevOps productivity, developer velocity, and business agility. Gain tools to quantify ROI and communicate value to executives.

Explore the shift from DevOps to platform engineering in cloud-native environments, focusing on product-centric approaches and strategic prioritization.

Explore ING's 2+ year journey migrating their Machine Learning Platform to Kubernetes, overcoming challenges in a highly regulated banking environment and improving scalability for data scientists.

Explore innovative platform engineering approaches that enhance security, compliance, and developer autonomy while accelerating business value delivery in cloud-native environments.

Explore Assa Abloy's journey in digital access solutions, focusing on their use of Docker EE to build a microservices-based platform and the challenges faced during implementation.

MetLife's journey to containerization: self-funding innovation, modernizing traditional apps, and creating a global strategy for large-scale adoption. Learn about planning, execution, overcoming obstacles, and building a sustainable future.

Explore how containerization and cloud technologies impact government IT modernization, improving customer service and fiscal responsibility while meeting unique agency requirements.

Explore the journey of modernizing government institutions through GitOps, highlighting challenges, strategies, and transformative outcomes in adopting innovative DevOps practices.

Explore software-defined security governance, digital transformation, and evolving security practices in modern development lifecycles with industry expert John Steven.

Explore ethical implications of AI, examining biases in algorithms, potential harmful outcomes, and the importance of instilling proper values in machine learning systems.

Explore how open-source data management drives energy transition, focusing on RTDIP's role in standardization, digitalization, and efficiency gains for global decarbonization efforts.

Explore macro trends in IoT and Edge computing, focusing on go-to-market strategies and the role of open source collaboration in delivering differentiated, outcome-based solutions.