Fawaz Ghali is Principal Data Science Architect and the Head of Developer Relations at Hazelcast with +22 years of experience in DevRel, cloud, enterprise software development and deployment, ML/AI and real-time intelligent applications, management and leadership. He holds a PhD in Computer Scienceb> and has worked in the private sector as well as in academia and research. He has published +45 scientific peer-reviewed papers in the fields of ML/AI, data science and cloud computing on Google Scholar. Fawaz is a renowned expert with +200 talks and presentations at global events and conferences.
- Running Real-time Machine Learning Analytics On Traces
Stuttgart, Germany, Stuttgart Java Forum 23, 13 July 2023 - Real-time Stream Processing without Migraines
Nürnberg, Germany, Developer Week 23, 26 June 2023 - Real-time Fraud Detection - Challenges and Solutions
Oslo, Norway, NDC Oslo 2023, 26 May 2023 - Real-time Stream Processing - Challenges and Solutions
Cracow, Poland, Code Europe 2023, 12 May 2023 - Real-time Fraud Detection - Challenges and Solutions
Berlin, Germany, EIC 2023, 12 May 2023 - Running Machine Learning Analytics On Traces
Berlin, Germany, EIC 2023, 12 May 2023 - Beyond Logs: Real-Time Anomaly Detection with Machine Learning
Bangalore, India, GIDS 2023, 28 April 2023 - Running Machine Learning Analytics On Traces
Cáceres, Spain, DEVOPS DAYS CACERES 2023, 28 April 2023 - High-Performance Real-time Stream Processing on the Cloud without Migraines
Bangalore, India, Bangalore JUG, 27 April 2023 - Best Practices for Microservices Deployment in the Cloud
Developer Week Europe 2023, Online, 26 April 2023 - Building High Performance Real-time Stream Processing Microservices
Kraków, Poland, GeeCon 2023, 19 April 2023 - Building High Performance Real-time Machine Learning Microservices
Warsaw, Poland, 4Developers 2023, 18 April 2023 - Real-time Stream Processing without Migraines for Java Applications
Lyon, France, Free Software Days 2023, 1 April 2023 - High-Performance Real-time Stream Processing Java Applications
Warsaw, Poland, Warsaw ID Days 2023, 1 April 2023 - Real-time Stream Processing without Migraines
Malvern, Pennsylvania, US, Philly.net Code Camp 2023, 1 April 2023 - Running Real-time Machine Learning Analytics On Traces
Malvern, Pennsylvania, US, Philly.net Code Camp 2023, 1 April 2023 - Maximizing Node.js Applications Performance using Hazelcast
London, UK, CityJS 2023, 30 March 2023 - Running Real-time Machine Learning Analytics On Traces
Limerick, Ireland, PyCon Limerick 2023, 25 March 2023 - Real-time Stream Processing without Migraines
GeoPython 2023, GeoPython 2023, 07 March 2023 - Simplifying Real-time Stream Processing on the Cloud
Manchester, UK, Manchester JUG, 01 March 2023 -
Running real-time machine learning analytics on traces
Talence, France, PyCon Fr 2023, 25 February 2023 -
Real-time Fraud Detection Challenges and Solutions
Alpharetta, United States, SQL Saturday Atlanta 2023, 25 February 2023 -
Human Mobility and Real-time Machine Learning at Scale
Lisbon, Portugal, Global AI PowerPlatform, 25 February 2023 -
Efficient Microservices Deployment in the CloudSolutions
Montreal, Canada, ConFoo, 23 February 2023 -
Scaling Real-time Machine Learning made Easy
Montreal, Canada, ConFoo, 22 February 2023 -
Scaling Real-time Machine Learning made Easy
Montreal, Canada, Montreal JUG, 21 February 2023 -
Real-time Stream Processing without Migraines
Virtual, Java Dev Summit, 21 February 2023 -
Real-time Stream Processing without Migraines
Virtual, HPC-AI Advisory Council, 14 February 2023 -
Best Practices For Real-Time Stream Processing
Brussels, Belgium, FOSDEM 2023, 05 February 2023 -
Running Real-time Stream Processing Analytics On Traces
Brussels, Belgium, FOSDEM 2023, 04 February 2023 -
Simplifying Real-time Machine Learning Deployment for OSS Projects at Scale
Lyon, France, Lyon Java User Group - LyonJUG, 24 January 2023 -
Scaling High-Performance Real-time Stream Processing Microservices
Grenoble, France, Alpes JUG - LyonJUG, 23 January 2023 -
Five Challenges in Real-time Stream Processing and Five Solutions
Ohio, USA, CodeMash, 10 January 2023 -
Real-time Fraud Detection Challenges and Solutions
Frankfurt, Germany, Java User Group Frankfurt (JUGF), 07 December 2022 -
High Performance Stream Processing in Kubernetes Made Easy
Munich, Germany, DevOps Conference, 06 December 2022 -
Online Feature Stores for Realtime Machine Learning
Hull, UK, DDD North, 03 December 2022 -
Maximizing Node.js Applications Performance using Hazelcast
Lodz, Poland, 4developers, 29 November 2022 -
Best Practices for Building High Performance Real-time Stream Processing Microservices
Nice, France, Riviera JUG, 22 November 2022 -
Best Practices for Building High Performance Real-time Stream Processing Microservices
Marseille, France., Marseille JUG, 21 November 2022 -
Real-time Stream Processing in Kubernetes using Hazelcast
Istanbul, Turkey, Turkey Java Community, 17 November 2022 -
Hazelcast Real-time Machine Learning Challenges and Solutions.
Ankara, Turkey, Turkey Java Community, 16 November 2022 -
Elastically scale .NET caching to meet your real-world needs
Wroclaw, Poland, 4developers, Wroclaw, 08 November 2022 -
Five Challenges in Real-time Stream Processing and Five Solutions
Wroclaw, Poland, 4developers, Wroclaw, 08 November 2022 -
Running Machine Learning Analytics On Traces
Belgrade, Serbia, Heapcon, 04 November 2022 -
Best Practices for Real-time Stream Processing
Göteborg, Sweden, Javaforum Göteborg, Sweden, 02 November 2022 -
Scaling Real-time Machine Learning made Easy with Hazelcast
Utrecht, the Netherlands, Blipz on the Rada, 01 November 2022 -
Best Practices for Real-time Machine Learning
Porto, Portugal, Porto Tech Hub Conference, 27 October 2022 -
Simplifying Real-time Machine Learning Deployment for OSS Projects at Scale
Lyon, France, Lyon Java User Group, 25 October 2022 -
Real-time Fraud Detection - Challenges and Solutions
Prague, Czech Republic, GeeCon 2022, 25 October 2022 -
Hazelcast Powers Real-Time Fraud Detection
Manchester, UK, JManc unconference, 22 October 2022 -
Best Practices for Human Mobility and Real-time Machine Learning
Chicago, IL, US, ClueCon 2022, 20 October 2022 -
Real-time Fraud Detection - Challenges and Solutions
Berlin, Germany, Predictive Analytics World, 06 October 2022 -
A Systematic Literature Review and Meta-Analysis of Event Streaming in Academia
Austin, Texas, Kafka Summit Current 2022, 04 October 2022 -
Five Challenges in Real-time Stream Processing and Five Solutions
Chicago, Illinois, United States, JConf.dev 2022, 27 September 2022 -
Hazelcast Viridian Efficient Microservices Deployment in the Cloud
Chicago, Illinois, United States, Foojay Day, 26 September 2022 -
Scaling Real-time Machine Learning made Easy with Hazelcast
London, UK, Big Data London, 21 September 2022 -
Real-time Stream Processing in the Cloud Challenges and Solutions
Austin, TX, Developer Week, 14 September 2022 -
Effective Real-time Stream Processing Made Easy with Hazelcast
Wroclaw, Poland, Wroclaw JUG, 13 September 2022 -
Real-time Stream Processing in Spring Made Easy with Hazelcast
London, UK, London Java Community, 25 August 2022 -
Elastically scale .NET caching to meet your real-world needs
Liverpool, UK, .NET Liverpool, 28 July 2022 -
Best Practices for Real-time Stream Processing using the Hazelcast Open-source Platform
Istanbul, Turkey, İstanbul Coders, 19 July 2022