Fawaz Ghali is Principal Data Science Architect and Head of Developer Relations at Hazelcast with 20+ years of experience in software development, machine learning and real-time intelligent applications. He holds a PhD in Computer Science and has worked in the private sector as well as Academia as a Researcher and Senior Lecturer. He has published over 46 scientific papers in the fields of machine learning and data science. His strengths and skills lie within the fields of low latency applications, IoT & Edge, distributed systems and cloud technologies.
- 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