
PATHWAY
-
Analyse de données
Analyse prédictive
Analytics
Big Data
Business Intelligence
IA
IA générative
IOT
Open Source
Large Language Models (LLM)
- Numéro de stand
- -
- Pathway (https://pathway.com/) is the fastest data processing engine supporting unified workflows for batch, streaming data, and LLM applicationsUnique capabilities of the Pathway data processing engine:Fastest data processing engine on the market – unified batch and streaming. Capable of processing millions of data points per second, it largely surpasses current reference technologies such as Spark (in both batch and streaming), Kafka Streams, and Flink. Benchmarking of WordCount and PageRank against the above also found that Pathway supports more advanced operations and is up to x90 faster thanks to its maximised throughput and lower latency. The benchmarks were stress tested by the developer community, and are publicly available (https://github.com/pathwaycom/pathway-benchmarks) so the tests can be replicated. A detailed description of the benchmarks is available in the HAL preprint (https://hal.science/hal-04159614).Facilitates real-time systems – Pathway allows the seamless transition between existing systems, from batch to real-time and LLM architectures (https://github.com/pathwaycom/llm-app), thanks to real-time machine learning integrating fully into the Enterprise context.Ease of development – Batch and streaming workflows can be designed with the same code logic in Python, which is then transposed into Rust. This democratises the ability for developers to design streaming workflows, which have typically required a specialist skillset, and enables what have typically been disparate teams within an organisation to come together. Thanks to this, Pathway becomes the lingua franca of all data pipelines – stream, batch and generative AI.The solution is perpetually deployed with enterprise clients such as La Poste and DB Schenker.
- Solutions proposées
- Analyse de données Analyse prédictive Analytics Big Data Business Intelligence IA IA générative IOT Open Source Large Language Models (LLM)
Organise
Construire une application LLM avec des données en temps réel
Atelier
AI
Analyse de données
Analyse prédictive
Analytics
Applications
Assistant virtuel
Automated machine learning
Automatisation
Bases de données
Big Data
Bots
Business Intelligence
ChatGPT
Chatbots
Cloud Computing
Cloud Data Analysis
Conférences stratégiques Big Data & AI
Data Engineering
Data Lakes
Data integration
Data intelligence
Data mesh
Data mining
Data observability
Data pipeline
Data science
Data virtualization
DataOps
Deep learning
DevOps
Edge computing
Expert AI
Expert Big Data
IA
IA Conversationnelle
IA de confiance
IA générative
IA responsable
IOT
It Solution
Key Players Insights
Large Language Models (LLM)
Machine Learning (ML)
Maintenance prédictive
Open Data
Open Source
Plateforme data
PoC
Prédiction
Souveraineté des données
26/09/2023
|
13:00 - 13:30
|
Salle 2