After a disaster, how much of your critical infrastructure and data could you recover? And how long would it take? To make sure you can answer these important questions with complete confidence, Veritas is adding machine learning technology to its data protection solutions. Attend this session to find out how combining machine learning and data protection enhances your ability to completely protect and recover critical systems and information more quickly and efficiently – no matter where it lives or what happens to it.

1. A Futuristic Look at BnR:
The Rise of the Machine Learning

2. Agenda
1 Overview
2 Demo
3 What’s Next
4 Our Partnership with Google
5 Q&A
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Overview

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Problem Statement
Complex and diverse technologies are changing the IT landscape
• IT organizations are at a crossroads
• Role of IT is changing
• Not just moving from prem to cloud orTest/Dev to Dev/Ops
IT is a competitive advantage…your IT is your business!

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Is there any Solution on the Horizon?
Let’s LeverageTechnology to Counter the Sprawl ofTechnology
• Outsource labor intensive and repetitive work
to a new generation of “Machines”
• IT should concentrate on strategic tasks
• Use Machine Learning to solve problems
without human interaction
If cars can drive themselves,
why shouldn’t IT have
its own version of self-driving cars?

6. What is Machine Learning?
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Computational learning using an alghorithm to learn from and
make predications on date
Get Raw Data Clean Data Build Model Predict

7. Machine Learning is as Easy as
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A Futuristic Look at BnR:The Rise of Machine Learning
• BnR still is a largely manual process & requires onsite expertise
• Bring more intelligence and automation to your BnR via ML
• Predicative Analysis
– Avoid job failure before it happens
– Schedule backup to avoid congestions
– Optimize storage overflow for the best performance or cost
– Improve SLA
– Reduce overall BnRTCO

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What’s Next?

10. Backup Hero is looking for
problems before they even happen
Using its sharp Predictive Analysis super power,
it senses something bad will
happen at ACME, an SMB company
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Predicting Problems BeforeThey Happen

11. Jack of all trades
Have to do more with less – budget and people
Wears many hats, solves many kinds of problems
Many busy days and no time for lunch!
Silver lining : At least, Backup Exec product doesn’t
need lot of her time
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Sharon – IT Admin at ACME (SMB)

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…She is about to experience a backup job failure
She will need to stay late and spend time
away from her family
Sharon does not know it yet, but her day is about to get worse….

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Using its Predictive Analysis super power,
Backup Hero predicts the backup job failure
Rescues backup jobs
before failure happens
Debugs and identifies the root-cause

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Orders more
storage
Puts overflow
data in cloud
temporarily

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Releases cloud
storage when device
deployed

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Competitive Cost
Analysis

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Competitive SLA
Analysis

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Reschedules jobs for
better allocation

21. • Sharon is able to leave work on time and spend time with her family
• No risk to business continuity (stable protected content)
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”Backup Hero” SavesThe Day!
Thanks “Backup
Hero”!!!

22. Machine Learning Use Cases
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• Predictive inventory planning
• Recommendation engines
• Upsell and cross-channel marketing
• Market segmentation and targeting
• Customer ROI and lifetime value
Retail
• Alerts and diagnostics from real-time patient data
• Disease identification and risk stratification
• Patient triage optimization
• Proactive health management
• Healthcare provider sentiment analysis
Healthcare and Life Sciences
• Systems monitoring/ log analysis
• Datacenter cooling optimization and power-usage
analytics
• Service desk ticket resolution
• Infrastructure capacity forecasting
• Service desk ticket resolution
InformationTechnology
• Risk analytics and regulation
• Customer Segmentation
• Cross-selling and up-selling
• Sales and marketing campaign
management
• Credit worthiness evaluation
Financial Services
• Predictive maintenance or condition monitoring
•Warranty reserve estimation
• Propensity to buy
• Demand forecasting
• Process optimization
•Telematics
Manufacturing
• Power usage analytics
• Seismic data processing
• Carbon emissions and trading
• Customer-specific pricing
• Smart grid management
• Energy demand and supply optimization
Energy, Feedstock and
Utilities

23. You Already Use Machine Learning
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24. We would love to hear from you!
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Call to Action

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Q&A

26. Copyright © 2017 Veritas Technologies. All rights reserved. Veritas and the Veritas Logo are trademarks or registered trademarks of Veritas Technologies or its affiliates in the
U.S. and other countries. Other names may be trademarks of their respective owners.
This document is provided for informational purposes only and is not intended as advertising. All warranties relating to the information in this document, either express or
implied, are disclaimed to the maximum extent allowed by law. The information in this document is subject to change without notice.
ThankYou

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