MLOps implemented - How we combine the cloud and open-source to boost data scientists work

November 15th, 2021
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Sign up and watch webinar about MLOps platform we build for our customers.
What is Machine Learning Platform?
Machine Learning platform is a complex software, which is designed to streamline creating Machine Learning models in your Big Data environment. ML Platform's main goal is to manage the Machine Learning modeling life-cycle, primarily focusing on experimentation, reproducibility, and deployment and increase the productivity of Data Scientists.
Explore MLOps
You will get the knowledge about our vision of MLOps Platform.
Learn about MLOps
Check what open-source tools we used to develop an architecture of a production cloud-managed MLOps platform.
Boost Data Scientist team
Thanks to the Machine Learning Platform you can minimise the possibility of human error and boost the productivity of your Data Science team.

About Speakers
Krzysztof Zarzycki - Krzysztof is a passionate about technologies hands-on architect and builder of big data solutions. Over the last 12 years he has helped build many big data, stream processing, analytics, and data science solutions for enterprises, large and smaller startups.

Marek Wiewiórka - Big data architect with 15+ years of experience, DEV/MLOps practitioner with strong background in classic data warehousing solutions and database designs. Helping customers to build modern data analytics platforms by combining containerization with big data technologies.
Check our previous webinars

Monitoring in Big Data Platform

During the webinar we explaned the concept of monitoring and observability with focus on data analytics platforms.

The webinar was organized by GetinData on 2020, September 29th.
Speaker: Rafał Małmanij


Complex Event Processing platform handling millions of users

During the webinar, we shared our lessons learnt from building and running stream processing platform in production for over 2 years.

The webinar was organized by GetinData on 2020, July 2nd.
Speaker: Krzysztof Zarzycki

Who will benefit from this webinar?
In this webinar we will share our experience from building MLOps platforms we earned during recent implementation projects. We will show how these projects helped customer ML Models training going from zero to production in much shorter time, while achieving superior performance, high code quality, training repeatability and proper governance.

Data Architects, Data Engineers, Data Scientists
The platform mixes best-of-breed cloud managed services with a small number of powerful open-source components (e.g. Kedro, MLflow, Seldon) to get extra functionality that data scientists and their ML models need.
Business owners, Business development specialists
Can you imagine Machine Learning modelling without processes and tools to support it? Thanks to well-prepared MLOps platform you can understand and maximize efficiency of the process of creating models for predicting the behaviour of your customers, improving the creation of marketing strategies or risk management by automating key processes and facilitate the detection of frauds.
During the performance you will learn about:
Machine Learning Operations principles
Architecture of a production cloud-managed MLOps platform and Data Science Workbench
Kedro as a Data Scientist's Swiss Knife
Model training and serving
Delivering ML Model to Production

Sign up and watch
whenever you like
Check our experience of the MLOps platform we build for our customers and how they boost the way data scientists work!
We help data-oriented organizations to succeed using open-source and cloud technologies such as Flink, Kafka, Spark, Hadoop, Google Cloud Platfrom by providing outsourcing, consulting and training services.

We've been already working for tens of companies ranging from fast-growing European startups to global corporations in pharmacy, FMCG, banking and media sectors. We trully focus to help our customers achieve true ROI from their data processing.


We help data-oriented organizations to succeed using open-source and cloud technologies such as Flink, Kafka, Spark, Hadoop, Google Cloud Platfrom by providing outsourcing, consulting and training services.

We've been already working for tens of companies ranging from fast-growing European startups to global corporations in pharmacy, FMCG, banking and media sectors. We trully focus to help our customers achieve true ROI from their data processing.


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