Watson Machine Learning for z/OS nuts and bolts

Seminar:

European SQLAdria Seminar – Virtual Event

Date:

Thursday, 26 november, 2020 - 10:15 - 11:15

Program:

z/OS Track

Speaker:

Diego Cardalliaguet

Watson Machine Learning for z/OS evolves as fast as data science and there are new features every few months. This presentation will review all the new functionalities as well as dicussing about the life cycle of a machine learning model on z/OS.

25 november 2020

Introduction -

"..Always look on the BrightSide.." (after Monty Python) - Toine Michielse

Derive optimal insight by bringing analytics to your most valuable data - Namik Hrle

Break -

Where we are with Continuous Delivery - Peter Hartmann

Break -

Db2 Analytics Accelerator V7.5: Technical deep‐dive and roadmap - Eberhard Hechler

Break -

Building Jenkins pipelines for Db2 for z/OS - Jorn Thyssen

Break -

Apples, Trees, Gravity, Data and ... IBM Z! - Frank Van Der Wal

26 november 2020

Do not code, let Db2 for z/OS do the work - Peter Hartmann

Break -

Watson Machine Learning for z/OS nuts and bolts - Diego Cardalliaguet

Break -

Readily integrate real‐time fraud detection with Watson ML for z/OS - Eberhard Hechler

Break -

Lessons learned in traditional mainframe application development - Patric Becker

Break -

Beginning with Java in Db2 for z/OS - Jan Marek

Break -

Db2 by the back door - Marcus Davage

27 november 2020

Db2 Go‐programming lab - Andreas Christian

Break -

Steroids for the Optimizer – An Introduction to (Advanced) Statistics - Matthias Nicola

Break -

Managing JSON data inside Db2 database - Marcin Marczewski

Break -

Db2 V11.5 and Db2 V11.5.4 and Db2 V11.5.5 - Les King

Break -

Wrapping up Db2 V11.1 - Les King

Watson Machine Learning for z/OS nuts and bolts

25 november 2020

26 november 2020

27 november 2020

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