AI Summit 2024

Wahl László

Senior Presales Architect
Hewlett Packard Enterprise

"Since 1995, he has been working at Hewlett Packard Informatikai kft. (formerly Digital Equipment/Compaq Magyarország/HP Magyarország), currently in the role of Senior Presales Architect, as a member of the HPE Data Service team. With longer or shorter interruptions, since the beginning of his career, he has been involved in software development, data collection systems, designing databases and data warehouses and implementation, as well as data processing areas, typically in the role of Data Engineer. In the early 2000s, he became a member of Compaq Hungary's BuilDog intelligent building control team led by László Marsovszky. As a result of the project, his interest quickly turned to the areas of data collection and process automation. Until 2014, he performed infrastructure planning and implementation tasks in the HPE Data Center business branch, during which he participated in numerous domestic and international modern HPE data center establishment projects. In Hungary, e.g. NAV, PAKS (MVM), NISZ, KNBSZ, in foreign projects in Singapore and in the implementation of the New York University Abu Dhabi campus. Its task is primarily for the safe, energy-efficient operation of data centers the design of necessary HP/HPE data collection and monitoring systems, infrastructure and software development. From 2013, parallel to the development of BigData, Pubilc and Private Cloud in Hungary, he started dealing with cloud automation, PaaS and Saas service planning and implementation, IoT EDGE data collection and Big Data areas. His most significant project was the construction of an EDGE-side data collection and BigData/AI-based failure prediction system to collect and analyze the vibration diagnostic data of nearly 1,500 pumps based on HPE EDGE servers, HPE OTLink and Azure Cloud services. Since 2020, he has been working more intensively with ML/AI solutions. Currently, HPE Ezmeral deals with the BigData and AI product line as an HPE expert, which includes classic Big Data, Kubernetes container technology, which is currently in its golden age, and ML and AI areas that have started to develop spectacularly in recent years, such as e.g. MLOps and AIOps. He believes that ML/AI is the future, but it requires quality data, so designing and building systems that can ensure this is important to him."