KNIME.com is hosting a one day IoT Analytics with KNIME course at the AdvancedAnalytics.Academy offices in Stuttgart, Germany on April 3, 2017.
Sensors, machine-to-machine, and network data will play a leading role in analytics as the Internet of Things becomes a reality. In this course you are introduced to the most important methodologies, algorithms and ideas in IoT Analytics. You will learn to access sensor-based data sources, understand the fundamentals of digital signal processing, realize the importance of smart feature engineering, and use advanced methodologies to uncover underlying patterns or concepts contained in IoT data streams. All exercises are based on real-world IoT datasets.
Who should attend: Data scientists, signal processing engineers, statisticians, mathematicians, computer scientist and information technology professionals who need to get started with IoT Analytics and want to make better use of their data.
Come to Stuttgart for an evening of Industry 4.0, Industrial Data Spaces and IIoT Analytics - April 3, 2017.
The core of Industry 4.0 is based on highly intelligent connected systems that create a fully digital value chain, enabled by the Industrial Internet of Things. IIoT will transform companies, opening up a new era of economic growth and competitiveness. Analytics of its always-on data streams will play a crucial role in boosting targeted improvements and systemic adjustments to production processes, product designs and other continuous improvement efforts. The »Industrial Data Space« is an Industry 4.0 initiative that uses standards and common governance models to facilitate the secure exchange and easy linkage of industrial data in business ecosystems. It thereby provides a basis for creating and using smart services and innovative business processes, while at the same time ensuring digital sovereignty of data owners.
Thomas Gabriel will provide a KNIME Software Update - including a glimpse at what is new in the most recent release of KNIME Analytics Platform.
The next talk, "Fault Prediction and Failure Detection of drives using real-time signal processing and machine learning techniques“, by Jürgen Walter and Stefan Weingaertner of DATATRONIQ, presents brand new KNIME nodes for Digital Signal Processing and their application within an IIoT Analytics use case.
The final talk on "Industrial Data Space: A New Idea for Sharing Data“, by Lars Nagel of the Industrial Data Space Association, outlines the motivation of the Industrial Data Space and its relevance for Industry 4.0 initiatives concerning governance and digital sovereignity of industry data within organizations and across supply chains.
The meetup closes with a panel discussion about data-driven Industry 4.0 best practices and challenges.
KNIME.com is hosting a KNIME User Training course at the AdvancedAnalytics.Academy offices in Stuttgart, Germany on April 4-5, 2017.
KNIME User Training course is an ideal opportunity for beginners, advanced users and KNIME experts to be introduced to KNIME, to learn how to use it more effectively, and how to create clear, comprehensive reports based on KNIME workflows.
This meetup is all about using KNIME in the Cloud. We will cover KNIME Analytics Platform, and KNIME Server with Big Data Extensions.
If you need a KNIME installation intermittently, for a limited period of time, or on a high-powered machine - for example one with a big GPU to do some deep learning - you might want to try KNIME on the Cloud.
There will be two talks at this meetup:
Rafael Godinho (Microsoft) will show how to deploy KNIME on Azure together with a number of additional and potentially useful resources, such as HDInsight, BlobStorage, and similar others.
Greg Landrum (KNIME) will show an analysis on a big data dataset, stored in HDInsight, and processed via Hive and Spark. Greg will also show how to connect to BlobStorage, SQL Server, and other tools of the Microsoft family.
This meetup is open to everybody interested in KNIME, in the cloud, in data science, or in big data.
Come to Inspire 9 in Melbourne on April 13 for a meetup that will focus on Custom KNIME Nodes for Bioinformatics.
Andrew Lonsdale, a PhD candidate who uses bioinformatics approaches to study plant cell walls in the ARC Centre of Excellence in Plant Cell Walls will be giving a talk. Andrew studied software engineering and worked in industry before returning to study science. He is a Software and Data Carpentry instructor, and is also involved in community groups including COMBINE, a group for Australian students in bioinformatics and computational biology, and the ABACBS, the Australian Bioinformatics And Computational Biology Society. In this talk, he will discuss the development and use of custom KNIME nodes for bioinformatics, and in the analysis of plant cell wall proteins.
Please reach out to Amandeep Modgil via meetup.com if you would like to present a talk at this meetup.
Thanks to Amandeep for organizing this meetup!