Deep Learning and the Future of Log Analysis

We are at the entry point of AI and cognitive systems. Today, AI can see, speak, write, listen and understand human language. With the recent advances in machine learning techniques, an interesting new field to explore is system anomaly detection, where the input data can be from your datacenter or an IoT device. With neural networks you can extract relevant features and make machines understand log content. The information is used in automated processes and predictive maintenance applications.

During the meetup, you will get an introduction to how deep learning can be an efficient technique to solve complex problems. The science part of data science is all about experimenting with different settings and comparing results. Using Watson Studio, you can easily work with data refinement and architect a neural network using Jupyter notebooks.

Completing the workshop you will learn:

• Introduction to deep learning and log analysis
• Some of the tools and techniques available in IBM Cloud
• Quick prototyping and Jupyter notebooks and creation of a model
• How to deploy your model
• How to expose the model via an API to score new input data

Agenda:

08.30-09.00 Coffee and tea, sandwiches & registration

9.00- 12.00 Workshop: The future of log analysis

o Introduction to IBM Data and AI
o Demonstration of Watson Studio and Machine Learning with Auto AI
o Break
o Jupyter notebooks with neural networks and the Case study
o Exercise what you learned and help at hand

11.45-12.00 Wrap up and summary

12.00 Lunch salads are served and end of workshop

Prerequisites:
Data science experience and basic knowledge of neural networks.

The workshop is run by:
Johan Rodin - Technical Sales, IBM Data and AI
Roland Revsäter - Technical Sales, IBM Watson IoT
Christian Petersson - Business Development Manager, Cristie Nordic

The lab exercises will be done in Watson Studio on IBM Cloud, so please bring your laptop and get an account https://cloud.ibm.com/registration

We will offer a limited number of seats for this workshop. Please manage your RSVP if you need cancel to give others the opportunity to join!

We look forward to seeing you!