
Explore Data Mesh architecture, its principles, benefits, and implementation challenges. Learn about open-source tools like Apache Spark for building effective Data Mesh systems in real-world scenarios.

Explore how OS-Climate builds an open data platform for climate impact analysis using open-source tools. Learn about data mesh architecture, scalability challenges, and community-driven development.

Discover key dev team metrics, their outcomes, and strategies to avoid common pitfalls in engineering metrics programs. Learn to focus on valuable, context-aware measurements that enhance team performance.

Explore AI's potential in improving medication prescribing and optimisation, focusing on reducing errors and enhancing patient care in long-term conditions management.

Explore Project Sophia, an AI-driven approach for data visualization and problem-solving. Learn how this innovative tool can empower organizations to uncover insights, generate visualizations, and provide actionable recommendations.

Explore holistic approaches to interpretable data science, focusing on counterfactual and attribution-based explanations for complex data processing and decision support systems.

Explore data mesh framework: empowering domain-specific data management, challenges in implementation, and strategies for successful adoption. Share insights and experiences with fellow practitioners.

Explore Apache Pulsar and Apache Pinot's synergy for high-speed, scalable real-time analytics in Cloud Native environments. Learn how these powerful tools enable efficient event streaming and ad-hoc data analysis.

Explore AI transformation in telecom: MLOps infrastructure, AI Command Centre, and data science strategies for customer satisfaction, business growth, and digital innovation.

Explore real-time analytics optimization using Apache Pulsar for event streaming and Apache Pinot for low-latency OLAP, enabling scalable, high-performance data processing and ad-hoc querying.

Learn how ODPi Egeria enables data-driven organizations through unified metadata management, covering governance maturity, distributed platforms, and practical implementation strategies.

Explore generative AI techniques DSF and RAG, their applications in banking, legal, and medical sectors, and comparisons with advanced models like GPT-4 and Llama2-7B.

Learn how Intuit's IPS provides scalable persistence for hundreds of services using XML schemas, Cassandra, Elastic Search, and Data Lake, with best practices for running Cassandra.

Explore strategies to overcome data silos in generative AI, enhancing model performance through improved data access, discovery, and integration across departments and cloud platforms.

Explore how Skypoint utilizes Astra DB to power enterprise analytics with generative AI, enabling high-reliability data conversations and automated insights for improved decision-making.

Explore how machine learning and digital data can enhance humanitarian aid targeting in low-income countries, improving accuracy and addressing challenges in poverty assessment.

Explore a new userspace filesystem driver, Famfs, and compare it to FUSE/DAX improvements for enhanced file system performance and functionality.

Explore Snowflake's open approach to generative AI research, including tools, practices, and recipes for training LLMs. Learn about use cases in prompting, retrieval, and presentation.

Explore how Epsilon Net's AI solutions transform SME ERPs, simplifying data analysis, decision-making, and accelerating growth in the digital age.

Explore how AI is revolutionizing daily life and business operations, from personal assistants to automated tasks and improved decision-making, with insights on leveraging AI for market growth.

Explore language models in enterprise with Chris Van Pelt: strategies for startups, AI experimentation, product evolution, and leveraging customer insights for innovation in the rapidly evolving AI landscape.