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A Futuristic Look at BnR:
The Rise of the Machine Learning
Agenda
1 Overview
2 Demo
3 What’s Next
4 Our Partnership with Google
5 Q&A
© 2017 Veritas Technologies2
© 2017 Veritas Technologies3
Overview
© 2017 Veritas Technologies4
Problem Statement
Complex and diverse technologies are changing the IT landscape
• IT organiz...
© 2017 Veritas Technologies5
Is there any Solution on the Horizon?
Let’s LeverageTechnology to Counter the Sprawl ofTechno...
What is Machine Learning?
© 2017 Veritas Technologies6
Computational learning using an alghorithm to learn from and
make p...
Machine Learning is as Easy as
© 2017 Veritas Technologies7
© 2017 Veritas Technologies8
A Futuristic Look at BnR:The Rise of Machine Learning
• BnR still is a largely manual process...
© 2017 Veritas Technologies9
What’s Next?
Backup Hero is looking for
problems before they even happen
Using its sharp Predictive Analysis super power,
it senses som...
Jack of all trades
Have to do more with less – budget and people
Wears many hats, solves many kinds of problems
Many busy ...
© 2017 Veritas Technologies12
…She is about to experience a backup job failure
She will need to stay late and spend time
a...
© 2017 Veritas Technologies13
Using its Predictive Analysis super power,
Backup Hero predicts the backup job failure
Rescu...
© 2017 Veritas Technologies14 Copyright © 2017 Veritas Technologies14
© 2017 Veritas Technologies15 Copyright © 2017 Veritas Technologies15
Orders more
storage
Puts overflow
data in cloud
temp...
© 2017 Veritas Technologies16
Releases cloud
storage when device
deployed
© 2017 Veritas Technologies17
© 2017 Veritas Technologies18
Competitive Cost
Analysis
© 2017 Veritas Technologies19
Competitive SLA
Analysis
© 2017 Veritas Technologies20
Reschedules jobs for
better allocation
• Sharon is able to leave work on time and spend time with her family
• No risk to business continuity (stable protected c...
Machine Learning Use Cases
© 2017 Veritas Technologies22
• Predictive inventory planning
• Recommendation engines
• Upsell...
You Already Use Machine Learning
© 2017 Veritas Technologies23
We would love to hear from you!
© 2017 Veritas Technologies24
Call to Action
© 2017 Veritas Technologies25
Q&A
Copyright © 2017 Veritas Technologies. All rights reserved. Veritas and the Veritas Logo are trademarks or registered trad...
Backup
© 2017 Veritas Technologies27
© 2017 Veritas Technologies28
© 2017 Veritas Technologies29
© 2017 Veritas Technologies30
© 2017 Veritas Technologies31
© 2017 Veritas Technologies32
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A futuristic look at BnR: The rise of the machine learning

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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.

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A futuristic look at BnR: The rise of the machine learning

  1. 1. A Futuristic Look at BnR: The Rise of the Machine Learning
  2. 2. Agenda 1 Overview 2 Demo 3 What’s Next 4 Our Partnership with Google 5 Q&A © 2017 Veritas Technologies2
  3. 3. © 2017 Veritas Technologies3 Overview
  4. 4. © 2017 Veritas Technologies4 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!
  5. 5. © 2017 Veritas Technologies5 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. 6. What is Machine Learning? © 2017 Veritas Technologies6 Computational learning using an alghorithm to learn from and make predications on date Get Raw Data Clean Data Build Model Predict
  7. 7. Machine Learning is as Easy as © 2017 Veritas Technologies7
  8. 8. © 2017 Veritas Technologies8 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
  9. 9. © 2017 Veritas Technologies9 What’s Next?
  10. 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 © 2017 Veritas Technologies10 Predicting Problems BeforeThey Happen
  11. 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 © 2017 Veritas Technologies11 Sharon – IT Admin at ACME (SMB)
  12. 12. © 2017 Veritas Technologies12 …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….
  13. 13. © 2017 Veritas Technologies13 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
  14. 14. © 2017 Veritas Technologies14 Copyright © 2017 Veritas Technologies14
  15. 15. © 2017 Veritas Technologies15 Copyright © 2017 Veritas Technologies15 Orders more storage Puts overflow data in cloud temporarily
  16. 16. © 2017 Veritas Technologies16 Releases cloud storage when device deployed
  17. 17. © 2017 Veritas Technologies17
  18. 18. © 2017 Veritas Technologies18 Competitive Cost Analysis
  19. 19. © 2017 Veritas Technologies19 Competitive SLA Analysis
  20. 20. © 2017 Veritas Technologies20 Reschedules jobs for better allocation
  21. 21. • Sharon is able to leave work on time and spend time with her family • No risk to business continuity (stable protected content) © 2017 Veritas Technologies21 ”Backup Hero” SavesThe Day! Thanks “Backup Hero”!!!
  22. 22. Machine Learning Use Cases © 2017 Veritas Technologies22 • 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. 23. You Already Use Machine Learning © 2017 Veritas Technologies23
  24. 24. We would love to hear from you! © 2017 Veritas Technologies24 Call to Action
  25. 25. © 2017 Veritas Technologies25 Q&A
  26. 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
  27. 27. Backup © 2017 Veritas Technologies27
  28. 28. © 2017 Veritas Technologies28
  29. 29. © 2017 Veritas Technologies29
  30. 30. © 2017 Veritas Technologies30
  31. 31. © 2017 Veritas Technologies31
  32. 32. © 2017 Veritas Technologies32

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