By Splunk September 22, 2017
It's back. Next week, September 25-28, we will be in Washington, D.C., for .conf2017 and Machine Learning will again be one of the key trending topics at the conference. This year, there are more than 26 Machine Learning sessions highlighting new tools, use cases, and updates.
Regardless of your expertise level, we have a session for you. Here are some of the sessions you might want to attend:
Find out what’s new in Machine Learning across the Splunk product portfolio
What's new in Machine Learning across our products - Platform, ITSI and UBA
(Tuesday, September 26, 2017 | 1:10 PM-1:55 PM)
Bob Pratt, Sr Director, Product Management, Splunk Inc.
Manish Sainani, Director of Products, Machine Learning, Splunk Inc.
Bob and Manish will provide an overview of machine learning offerings and use cases spanning the Splunk portfolio, including Splunk Enterprise, Splunk IT Service Intelligence, Splunk Enterprise Security and Splunk User Behavior Analytics.
New to Machine Learning at Splunk? Start here.
Using the Latest Features from Splunk Machine Learning Toolkit to Create Your Own Custom Models
(Wednesday, September 27, 2017 | 11:00 AM-11:45 AM)
Adam Oliner, Director of Engineering, Splunk Inc.
Manish Sainani, Director of Products, Machine Learning, Splunk Inc.
Adam and Manish will introduce you to Splunk Machine Learning Toolkit and highlight what’s new in the latest release. They will also demonstrate the key features for guided ML model building.
Machine Learning & Splunk: The Splunk Machine Learning Toolkit in Action
(Wednesday, September 27, 2017 | 2:15 PM-3:00 PM)
Iman Makaremi, Senior Data Scientist, Splunk Inc.
Andrew Stein, Global Analytical Architect, Splunk Inc.
Iman and Andrew will detail Splunk Machine Learning Toolkit use-cases, and discuss how the toolkit might be useful for your work.
Learn how our customers are leveraging Machine Learning to advance their organizations and their careers
Detect Numeric Outliers – Advances
(Tuesday, September 26, 2017 | 11:00 AM-11:45 AM)
Iman Makaremi, Senior Data Scientist, Splunk Inc.
Matthew Modestino, ITOA Practitioner, Splunk Inc
The Next Level of Quality Assurance at BMW with the Splunk Machine Learning Toolkit
(Tuesday, September 26, 2017 | 11:00 AM-11:45 AM)
Markus Boenisch, General Manager, BMW Group
Georg Schröder, Lead System Architect, Robotron Datenbank-Software GmbH
Be a Rock Star! Real-World Use Cases From Aetna That Will Inspire You to Deliver Value With the Machine Learning Tool Kit (MLTK)(Tuesday, September 26, 2017 | 4:35 PM-5:20 PM)
Alexander Norris, Data Scientist, AETNA
Thomas Smit, Staff Sales Engineer, Splunk Inc
Splunk Machine Learning Capabilities and Condition-Based Maintenance: Train Doors on the German Public Rail Transport System
(Thursday, September 28, 2017 | 11:30 AM-11:45 AM)
Henning Brandt, Data Analyst, ESE GmbH
Daniel Pal, Data Analyst, ESE GmbH
Experience advanced machine learning capabilities
Advanced Machine Learning Using the Extensible ML API
(Wednesday, September 27, 2017 | 4:35 PM-5:20 PM)
Alexander Johnson, Software Engineer, Splunk Inc.
Zidong Yang, Software Engineer, Splunk Inc.
Want to know how to import custom machine learning algorithms? Alexander and Zidong will show you how to use the Splunk Machine Learning Toolkit's extensible API to add custom algorithms.
Advanced Analytics with Splunk Using Apache Spark Machine Learning and Spark Graph
(Wednesday, September 27, 2017 | 1:10 PM-1:55 PM)
Raanan Dagan, Staff Architect, Splunk Inc.
Andrew Stein, Global Analytical Architect, Splunk Inc.
Andrew and Raanan will dive into advanced machine learning capabilities, detailing how you can leverage large-scale interactive event graphs and machine learning using the Spark Machine Learning and Spark Graph. This session will take you into the technical details of these integrations, and introduce you to many of their use cases.
Want to know how to deal with biases introduced by data in machine learning, such as representation bias?
Automating the Status Quo: How Machine Learning Algorithms Become Biased
(Tuesday, September 26, 2017 | 3:30 PM-4:15 PM)
Sarah Moir, Senior Technical Writer, Splunk Inc.
Celeste Tretto, Data Scientist, Splunk Inc.
Interested in prioritizing anomalies based on the relation between metrics?
Prioritizing Anomalies Using the Machine Learning Toolkit
(Thursday, September 28, 2017 | 1:30 PM-1:45 PM)
Harsh Keswani, Product Manager: Machine Learning, Splunk Inc.
Hungry for more ML?
Check out the full list of Machine Learning sessions and be sure to add them to your Session Scheduler.
Have some questions or use cases to share? Reach out to the Machine Learning Team at the source=*Pavilion.
Visit the Splunk ML team at the Splunk Innovation Labs to learn what we’re working on, including our innovations with Spark and Deep Learning. (*Splunk Innovation Labs will not be open on Thursday, 9/28).
Download the Splunk .conf2017 mobile app on iOS or Android to access the NDA for the Splunk Innovation Labs, and to receive the latest updates on location and schedules.
Looking forward to seeing you at.conf2017. Happy Splunking!
Follow all the conversations coming out of #splunkconf17!
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Thanks!
Manish Sainani