Date post: | 18-Jan-2017 |
Category: |
Technology |
Upload: | sergey-a-razin |
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AI is coming! Are you ready?
Story of “Self-Driving” Datacenter
Sergey A. RazinCTO, SIOS Technology Corp.
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Who is SIOS?
Who is SIOS?
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What is
Machine Learning?“the state of humanity”
Does ML Exist Today?
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What is Machine Learning?
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Why
Machine Learning?“ML will save the world”
Productivity
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IoT - Is a big deal!
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Internet of Things Kills Internet
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What is the problem? Why Conventional Tools Can’s Solve It?
• Understanding of Data Semantics because:• Data is Big
• Data is complex
• Data is high-dimensional (with a lot of interrelationships and interplay)
• Data is features rich
• Solution required different type of tool
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2016 and 2017
ML is HOT!
Let’s look at the IT evolution
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How did IT started?
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How did IT started?
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Give me more Data!
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Operational Scale & Complexity in Virtualized IT
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0
10,000,000,000
20,000,000,000
30,000,000,000
40,000,000,000
50,000,000,000
60,000,000,000
70,000,000,000
1001,000
3,0005,000
10,000
100 1,000 3,000 5,000 10,000
VMs 100 1,000 3,000 5,000 10,000
# of Objects 2,000 15,000 50,000 100,000 200,000
# of Metrics 604,800,000 4,536,000,000 15,120,000,000 30,240,000,000 60,480,000,000
IT Operations with the Hammer and a Chisel
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API
Conventional Tools
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Data
Still Dealing With Noise
Conventional Tools
State of The Productized Art
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Computer Science Approach
State of The Productized Art
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What if there was a solution?
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Topological Behavior Analysis
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Topological Data Analysis (TDA)
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TDA
Mathematics (Topology)Data
Shape
Algorithms – How is TBA works?
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Algorithms – How is TBA works?
Dynamic K (Deep Learning):- Data scaling- Goal is Gaussian distribution with in the
cluster via PDF- Re-cluster -> # of K- Throw away noise clusters
Semi-Supervised power of Clusters:- Cluster Tagging- Cluster Instrumentation
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Algorithms – How is TBA works? (Learned Behavior)
“Shape” of the date.
Algorithms – How is TBA works? (Topology)
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Monthly Topology
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1 2 3 4 5 6 7
Me
tric
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0.6
0.8
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1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31
Quarterly Topology
Etc.
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Algorithms – How is TBA works? (Anomaly)
Dynamic ML Sensitivity Coefficient (Deep Learning)
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Topological Behavior Analysis (TBA)
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What’s Next?
Self-Driving Datacenter
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What is
Machine Learning
for Real?
What is Machine Learning for Real?
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- It is science- It is algorithms- It is pattern recognition
and computational learning theory in artificial intelligence
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Why should
you brush up
on Algorithms?
Expert Knowledge + Machine Intelligence
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Stay Relevant - Education
Machine Learning Course: https://www.coursera.org/learn/machine-learning
DIY – Machine Learning/Deep Learning
http://www.r-project.org/
http://www.cs.waikato.ac.nz/ml/weka/
https://mahout.apache.org/
https://www.tensorflow.org/
https://madlib.incubator.apache.org/
http://spark.apache.org/docs/latest/ml-guide.html
Social Graph -> IT Graph
http://neo4j.com/
FlockDB
https://github.com/twitter/flockdb
http://giraph.apache.org/
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Neo4j
https://www.vmware.com/support/pubs/sdk_pubs.html
API
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Want to see it
in Action?http://us.sios.com/
SIOS iQ™Machine Learning Analytics for optimizing
VMware environments
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• Data Scientists
• Back-end and Full Stack
Developers
Job Opportunities @ SIOS
Great People. Exciting and Innovative Projects.