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Emerging Cloud Migration Approaches:
AI Planning, Chatbots and Beyond
—
Arvind Viswanathan
Distinguished Engineer, GTS
Maja Vukovic
Research Manager, IBM Research
Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
IBM’s statements regarding its plans, directions, and intent are subject to change or withdrawal without
notice and at IBM’s sole discretion.
Information regarding potential future products is intended to outline our general product direction and
it should not be relied on in making a purchasing decision.
The information mentioned regarding potential future products is not a commitment, promise, or legal
obligation to deliver any material, code or functionality. Information about potential future products may
not be incorporated into any contract.
The development, release, and timing of any future features or functionality described for our products
remains at our sole discretion.
Performance is based on measurements and projections using standard IBM benchmarks in a controlled
environment. The actual throughput or performance that any user will experience will vary depending upon
many factors, including considerations such as the amount of multiprogramming in the user’s job stream,
the I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance can
be given that an individual user will achieve results similar to those stated here.
2
Please note
Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
Enhancements you can
use today
Technologies and assets to
simplify getting to cloud
Emerging approaches
How we are combining the
strength of IBM Services and IBM
Research to drive improvements
in migrations
Problem statement
The challenges for the journey
to cloud
3
Agenda
Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
Cloud adoption maturity dimensions
4
Ungoverned
implementations
+ PoC’s + Some
automation
Partial 12 Factor
adoption
+ Horizontal
scalability
Agile DevOps
+ Container
orchestration
+ Self healing
Resilient deployment
at scale
+ Microservices
w/CI/CD
Cloud hosted
Lift and Shift
Cloud ready
Runs in Cloud
Cloud enabled
Exploits Cloud
Cloud-Native
Full Cloud benefits
MaturityGatesCharacteristics
Infrastructure
Architecture
Operations
Speed of IT Delivery
ü IaaS
ü Improved agility
ü Some automation
ü Single speed IT
with some bimodal
ü Hybrid (XaaS)
ü Composable at scale
ü AI Ops
ü Multi-speed IT
Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
Enterprise 0ut Cloud Journey Framework
5
Actual client transitions come with usage
scenarios such as :
Fuel Innovation with Data and Analytics
Create Cognitive Solutions
Develop Cloud Native Apps
Leverage Blockchain
Run existing solutions on Private Cloud
Backup and Recovery
Embrace DevOps (Developer Services)
Run existing solutions on Public Cloud
Drive Security Transformation
Manage Multi Cloud Environment
Private
(on-premises /
dedicated)
Dedicated
(off-premises /
dedicated)
Cloud Public
(off-premises / shared)
Cloud Ready
Workloads
(Run in Cloud)
Cloud Ready
Workloads
(Run in Cloud)
Cloud Native
Workloads
(Full Cloud Benefits)
Cloud Ready
Workloads
(Run in Cloud)
Cloud Hosted
(Lift and Shift)
Cloud Hosted
(Lift and Shift)
Cloud Enabled
Workloads
(Exploits Cloud)
Cloud Enabled
Workloads
(Exploits Cloud)
Cloud Enabled
Workloads
(Exploits Cloud)
Cloud Hosted
(Lift and Shift)
Enterprise IT
(on-premises /
dedicated)
Virtualized
*
* * *
Cloud Native
Workloads
(Full Cloud Benefits)
Cloud Native
Workloads
(Full Cloud Benefits)
* *
* Includes SaaS options
Premise and Tenancy
Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
• Full lifecycle – from advice to management
• Full stack - Addresses Applications,
Infrastructure, DevOps to cover hybrid journey
• Consistency of experience from IBM ensuring
predictable outcomes
• Incorporates agile approaches to increase
speed to value
6
IBM’s Cloud Innovate Method
…not just for IBM Cloud
The method provides a
streamlined approach
to facilitate your
hybrid cloud journey
using predefined
pathways and
practices
Cloud Innovate is
IBM’s method built
on years of cloud
experience, our breadth
of expertise, and
industry best practices.
The Cloud Innovate Toolkit delivers an flexible, pre-integrated
tools architecture across the full journey to cloud lifecycle
7Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
Bringing the capabilities together
8Think 2019 / Session 3266 / February 14, 2019 / © 2019 IBM Corporation
Expertise Partnerships Data Research insights Integration
Bringing the capabilities together
8Think 2019 / Session 3266 / February 14, 2019 / © 2019 IBM Corporation
Expertise Partnerships Data Research insights Integration
Infusing AI, NLP and ML into Migration Processes
9
Discovery
Inventory
Tickets
Tech docs
Data sources
Workload
classifier
AI Planner &
Model checker
Execution
Conversational interface
Business & Technical
constraints
replan
KB
Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
Sample dimensions being considered
10
Cloud migration readiness Solution:
Leverage operational
insights from data
lake (e.g. KPIs across
multiple dimensions)
to bootstrap the
discussion about
migration to Cloud
Problem:
Understand client
readiness for migration
to Cloud
Business IT alignment:
– Views IT as an investment
– Satisfaction with IT
– Sensitive to cost
– Requires responsiveness
– Leveraging automation
Applications & Middleware:
– Applications are
standardized
– Maintenance is up to date
– Testing is conducted
Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
11
Workload selection
Using classification
Using active learning
Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
Benefits
– Holistic view of a workload based on structured
and unstructured data (e.g. tickets, discovery,)
– Classification of workloads as to whether they
are a simple rehost, or refresh, or a more difficult
replat form to determine migration impact
– Continuous learning through reinforcement
learning capabilities
12
Workload selection Solution:
– Employ Machine
Learning to classify
workloads based on
the inventory data
– Active learning to
provide continuous
learning capabilities
and capture specialist
feedback
Problem:
How do we pick and
prioritize workloads for
move to Cloud / targets?Using classification
Using active learning
Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
Benefits
– Reusable domain knowledge (actions)
– Integration with machine learning
– Simulation for what-if scenarios before the execution
– Interleaved planning and execution (replanning)
13
AI Planning Solution:
Employ goal-based
reasoning from AI
planning capabilities
Problem:
How do we automatically
take into consideration
changing technical and
business constraints and
continuously adapt and
adjust migration plans?
Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
14
Automation Framework for Migration Solution:
Assemble patterns
into one click
automation with zero
coding
Problem:
How to increase
migration speed and
throughput, enable
factory model with
repeatability and
standardization
Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
15
Insurance Company - Bulk Migration
Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
Migration Event Started:
18:00 Day 1 – Close of Business Friday Evening
Migration Event Completed (Go Decision from
customer):
10:00 Day 3 – Within no critical defects
Migration tooling:
Zerto [V2V], TDMF [Databases], 7MTT[NAS],
Platespin[P2V & P2P], Data Guard [Databases]
Data Transfer Factilities
10Gb Migration Link
Total Migrated Storage: 500 TB
All data presync’d 2 weeks before cutover
Backend Systems Migrated
- V2V: 1119
- Databases: 338
- P2P: 44
- P2V: 19
End User Systems Migrated
- NetApp vFiler: 39
- VDIs & Terminal Servers: 2359
Results
§ All applications migrated to cloud
§ Cloud Native Modernization underway through co-
development with customer team and achieving scale
with IBM Services
§ First release for cloud native application released in
production
§ Integrated operations across hybrid IT
16
Airline example – using VMware HCX Solution:
Rationalize and Re-
Platform to IBM Cloud
Re-architect for unified
customer experience
Cloud Native development
on IBM PaaS using Design
Thinking + IBM Cloud
Innovate
Problem:
Currency of hardware and
application stack
Technical Debt and
Overlap due to siloed
development
User experience not
commensurate with
business expectations
Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
Private
(on-premises / dedicated)
Dedicated
(off-premises / dedicated)
Cloud Public
(off-premises / shared)
Cloud Ready Workloads
(Run in Cloud)
Cloud Ready Workloads
(Run in Cloud)
Cloud Native Workloads
(Full Cloud Benefits)
Cloud Ready Workloads
(Run in Cloud)
Cloud Hosted
(Lift and Shift)
Cloud Hosted
(Lift and Shift)
Cloud Enabled
Workloads
(Exploits Cloud)
Cloud Enabled
Workloads
(Exploits Cloud)
Cloud Enabled
Workloads
(Exploits Cloud)
Cloud Hosted
(Lift and Shift)
Enterprise IT
(on-premises / dedicated)
Virtualized
*
* * *
Cloud Native Workloads
(Full Cloud Benefits)
Cloud Native Workloads
(Full Cloud Benefits)
* *
Extend
Network
Move workload
to Cloud
Migrate
network to
Cloud
17
Chatbots assisting in
assessment phases
Accelerating the Move to SAP
S/4HANA with a Natural
Language Chatbot Interface
Thursday, 9:30 AM - 10:10 AM |
Session ID: 5170A ,
AMC at Metreon | Theatre 9
17
Chatbots Solution:
– Support the discovery
phase through chatbot
– Integration of
chatbots in the
execution phases
Problem:
How do we effectively
leverage conversational
interfaces for migration
across the entire
lifecycle?
Help me complete the missing
discovery info
Look up all X and its migration
readiness
Identify the bundles for migration
for account X and the plan for each
Schedule bundle 2 for migration
Help me with the network setup….
Help me recover from failed data
migration?
Account X is 80% ready
Identifying 10 bundles and plans.
Enter more to see the details.
Interface established to TM,
Migration scheduled
Pre-migration steps not completed
Network failure press more for details.
Click here to access the HOWTO…
Migration
KB
Data lake
Planner
Project
mgmt
Execution
engine
Trouble
shooting
Migration
Analyst
Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
IBM Services - Cloud Migration Factory Overview
18
Cloud Migration Practitioners & Leadership Hub
Cloud Migration Practitioners
More than 4000 IBM Services
professionals, forming a team of
multicloud migration and
modernization experts.
Capability spanning all size & levels
of complexity, across industries,
cloud platforms, and Data Center
relocation.
Experienced by our clients through
a common set of tools, methods
and processes, delivered through
an efficient and optimized factory
model.
Engaging with our clients through
dedicated solution and delivery
professionals.
Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
Learn more from our migration and modernization stories
Learn more:
https://www.ibm.com/case-
studies/LiquidPower-2
Learn more:
https://www.youtube.com/watch?v=hdm
wvRbDbvM
Learn more:
https://www.ibm.com/case-
studies/weston-foods
Visit our Cloud Migration Portal for more information and engage our experts -
• https://www.ibm.com/cloud/migration-services
• https://www-935.ibm.com/services/cloud-migration/
• https://www.ibm.com/us-en/marketplace/multicloud-migration
19Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
Thank you
20
Arvind Viswanathan
IBM Distinguished Engineer
—
arvind@ca.ibm.com
+1-604-351-6745
Maja Vukovic
Research Manager, IBM Research
—
maja@us.ibm.com
+1-914-945-4726
ibm.com
Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
Notices and disclaimers
21
© 2019 International Business Machines Corporation. No part of this
document may be reproduced or transmitted in any form without
written permission from IBM.
U.S. Government Users Restricted Rights — use, duplication or
disclosure restricted by GSA ADP Schedule Contract with IBM.
Information in these presentations (including information relating to
products that have not yet been announced by IBM) has been reviewed
for accuracy as of the date of initial publication and could include
unintentional technical or typographical errors. IBM shall have no
responsibility to update this information. This document is distributed
“as is” without any warranty, either express or implied. In no event,
shall IBM be liable for any damage arising from the use of this
information, including but not limited to, loss of data, business
interruption, loss of profit or loss of opportunity. IBM products and
services are warranted per the terms and conditions of the agreements
under which they are provided.
IBM products are manufactured from new parts or new and used parts.
In some cases, a product may not be new and may have been previously
installed. Regardless, our warranty terms apply.”
Any statements regarding IBM's future direction, intent or product
plans are subject to change or withdrawal without notice.
Performance data contained herein was generally obtained in a
controlled, isolated environments. Customer examples are presented as
illustrations of how those customers have used IBM products and the
results they may have achieved. Actual performance, cost, savings or
other results in other operating environments may vary.
References in this document to IBM products, programs, or services
does not imply that IBM intends to make such products, programs or
services available in all countries in which IBM operates or does
business.
Workshops, sessions and associated materials may have been prepared
by independent session speakers, and do not necessarily reflect the
views of IBM. All materials and discussions are provided for
informational purposes only, and are neither intended to, nor shall
constitute legal or other guidance or advice to any individual participant
or their specific situation.
It is the customer’s responsibility to insure its own compliance
with legal requirements and to obtain advice of competent legal counsel
as to the identification and interpretation of any relevant laws and
regulatory requirements that may affect the customer’s business and
any actions the customer may need to take to comply with such
laws. IBM does not provide legal advice or represent or warrant that its
services or products will ensure that the customer follows any law.
Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
Notices and disclaimers
continued
22
Information concerning non-IBM products was obtained from the
suppliers of those products, their published announcements or other
publicly available sources. IBM has not tested those products about this
publication and cannot confirm the accuracy of performance,
compatibility or any other claims related to non-IBM products.
Questions on the capabilities of non-IBM products should be addressed
to the suppliers of those products. IBM does not warrant the quality of
any third-party products, or the ability of any such third-party products
to interoperate with IBM’s products. IBM expressly disclaims all
warranties, expressed or implied, including but not limited to, the
implied warranties of merchantability and fitness for a purpose.
The provision of the information contained herein is not intended to,
and does not, grant any right or license under any IBM patents,
copyrights, trademarks or other intellectual property right.
IBM, the IBM logo, ibm.com and [names of other referenced IBM
products and services used in the presentation] are trademarks of
International Business Machines Corporation, registered in many
jurisdictions worldwide. Other product and service names might
be trademarks of IBM or other companies. A current list of IBM
trademarks is available on the Web at “Copyright and trademark
information” at: www.ibm.com/legal/copytrade.shtml.
Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
23https://www.ibm.com/legal/us/en/copytrade.shtml
®

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Emerging Cloud Migration Approaches

  • 1. Emerging Cloud Migration Approaches: AI Planning, Chatbots and Beyond — Arvind Viswanathan Distinguished Engineer, GTS Maja Vukovic Research Manager, IBM Research Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
  • 2. IBM’s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice and at IBM’s sole discretion. Information regarding potential future products is intended to outline our general product direction and it should not be relied on in making a purchasing decision. The information mentioned regarding potential future products is not a commitment, promise, or legal obligation to deliver any material, code or functionality. Information about potential future products may not be incorporated into any contract. The development, release, and timing of any future features or functionality described for our products remains at our sole discretion. Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that any user will experience will vary depending upon many factors, including considerations such as the amount of multiprogramming in the user’s job stream, the I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance can be given that an individual user will achieve results similar to those stated here. 2 Please note Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
  • 3. Enhancements you can use today Technologies and assets to simplify getting to cloud Emerging approaches How we are combining the strength of IBM Services and IBM Research to drive improvements in migrations Problem statement The challenges for the journey to cloud 3 Agenda Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
  • 4. Cloud adoption maturity dimensions 4 Ungoverned implementations + PoC’s + Some automation Partial 12 Factor adoption + Horizontal scalability Agile DevOps + Container orchestration + Self healing Resilient deployment at scale + Microservices w/CI/CD Cloud hosted Lift and Shift Cloud ready Runs in Cloud Cloud enabled Exploits Cloud Cloud-Native Full Cloud benefits MaturityGatesCharacteristics Infrastructure Architecture Operations Speed of IT Delivery ü IaaS ü Improved agility ü Some automation ü Single speed IT with some bimodal ü Hybrid (XaaS) ü Composable at scale ü AI Ops ü Multi-speed IT Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
  • 5. Enterprise 0ut Cloud Journey Framework 5 Actual client transitions come with usage scenarios such as : Fuel Innovation with Data and Analytics Create Cognitive Solutions Develop Cloud Native Apps Leverage Blockchain Run existing solutions on Private Cloud Backup and Recovery Embrace DevOps (Developer Services) Run existing solutions on Public Cloud Drive Security Transformation Manage Multi Cloud Environment Private (on-premises / dedicated) Dedicated (off-premises / dedicated) Cloud Public (off-premises / shared) Cloud Ready Workloads (Run in Cloud) Cloud Ready Workloads (Run in Cloud) Cloud Native Workloads (Full Cloud Benefits) Cloud Ready Workloads (Run in Cloud) Cloud Hosted (Lift and Shift) Cloud Hosted (Lift and Shift) Cloud Enabled Workloads (Exploits Cloud) Cloud Enabled Workloads (Exploits Cloud) Cloud Enabled Workloads (Exploits Cloud) Cloud Hosted (Lift and Shift) Enterprise IT (on-premises / dedicated) Virtualized * * * * Cloud Native Workloads (Full Cloud Benefits) Cloud Native Workloads (Full Cloud Benefits) * * * Includes SaaS options Premise and Tenancy Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
  • 6. Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation • Full lifecycle – from advice to management • Full stack - Addresses Applications, Infrastructure, DevOps to cover hybrid journey • Consistency of experience from IBM ensuring predictable outcomes • Incorporates agile approaches to increase speed to value 6 IBM’s Cloud Innovate Method …not just for IBM Cloud The method provides a streamlined approach to facilitate your hybrid cloud journey using predefined pathways and practices Cloud Innovate is IBM’s method built on years of cloud experience, our breadth of expertise, and industry best practices.
  • 7. The Cloud Innovate Toolkit delivers an flexible, pre-integrated tools architecture across the full journey to cloud lifecycle 7Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
  • 8. Bringing the capabilities together 8Think 2019 / Session 3266 / February 14, 2019 / © 2019 IBM Corporation Expertise Partnerships Data Research insights Integration Bringing the capabilities together 8Think 2019 / Session 3266 / February 14, 2019 / © 2019 IBM Corporation Expertise Partnerships Data Research insights Integration
  • 9. Infusing AI, NLP and ML into Migration Processes 9 Discovery Inventory Tickets Tech docs Data sources Workload classifier AI Planner & Model checker Execution Conversational interface Business & Technical constraints replan KB Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
  • 10. Sample dimensions being considered 10 Cloud migration readiness Solution: Leverage operational insights from data lake (e.g. KPIs across multiple dimensions) to bootstrap the discussion about migration to Cloud Problem: Understand client readiness for migration to Cloud Business IT alignment: – Views IT as an investment – Satisfaction with IT – Sensitive to cost – Requires responsiveness – Leveraging automation Applications & Middleware: – Applications are standardized – Maintenance is up to date – Testing is conducted Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
  • 11. 11 Workload selection Using classification Using active learning Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
  • 12. Benefits – Holistic view of a workload based on structured and unstructured data (e.g. tickets, discovery,) – Classification of workloads as to whether they are a simple rehost, or refresh, or a more difficult replat form to determine migration impact – Continuous learning through reinforcement learning capabilities 12 Workload selection Solution: – Employ Machine Learning to classify workloads based on the inventory data – Active learning to provide continuous learning capabilities and capture specialist feedback Problem: How do we pick and prioritize workloads for move to Cloud / targets?Using classification Using active learning Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
  • 13. Benefits – Reusable domain knowledge (actions) – Integration with machine learning – Simulation for what-if scenarios before the execution – Interleaved planning and execution (replanning) 13 AI Planning Solution: Employ goal-based reasoning from AI planning capabilities Problem: How do we automatically take into consideration changing technical and business constraints and continuously adapt and adjust migration plans? Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
  • 14. 14 Automation Framework for Migration Solution: Assemble patterns into one click automation with zero coding Problem: How to increase migration speed and throughput, enable factory model with repeatability and standardization Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
  • 15. 15 Insurance Company - Bulk Migration Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation Migration Event Started: 18:00 Day 1 – Close of Business Friday Evening Migration Event Completed (Go Decision from customer): 10:00 Day 3 – Within no critical defects Migration tooling: Zerto [V2V], TDMF [Databases], 7MTT[NAS], Platespin[P2V & P2P], Data Guard [Databases] Data Transfer Factilities 10Gb Migration Link Total Migrated Storage: 500 TB All data presync’d 2 weeks before cutover Backend Systems Migrated - V2V: 1119 - Databases: 338 - P2P: 44 - P2V: 19 End User Systems Migrated - NetApp vFiler: 39 - VDIs & Terminal Servers: 2359
  • 16. Results § All applications migrated to cloud § Cloud Native Modernization underway through co- development with customer team and achieving scale with IBM Services § First release for cloud native application released in production § Integrated operations across hybrid IT 16 Airline example – using VMware HCX Solution: Rationalize and Re- Platform to IBM Cloud Re-architect for unified customer experience Cloud Native development on IBM PaaS using Design Thinking + IBM Cloud Innovate Problem: Currency of hardware and application stack Technical Debt and Overlap due to siloed development User experience not commensurate with business expectations Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation Private (on-premises / dedicated) Dedicated (off-premises / dedicated) Cloud Public (off-premises / shared) Cloud Ready Workloads (Run in Cloud) Cloud Ready Workloads (Run in Cloud) Cloud Native Workloads (Full Cloud Benefits) Cloud Ready Workloads (Run in Cloud) Cloud Hosted (Lift and Shift) Cloud Hosted (Lift and Shift) Cloud Enabled Workloads (Exploits Cloud) Cloud Enabled Workloads (Exploits Cloud) Cloud Enabled Workloads (Exploits Cloud) Cloud Hosted (Lift and Shift) Enterprise IT (on-premises / dedicated) Virtualized * * * * Cloud Native Workloads (Full Cloud Benefits) Cloud Native Workloads (Full Cloud Benefits) * * Extend Network Move workload to Cloud Migrate network to Cloud
  • 17. 17 Chatbots assisting in assessment phases Accelerating the Move to SAP S/4HANA with a Natural Language Chatbot Interface Thursday, 9:30 AM - 10:10 AM | Session ID: 5170A , AMC at Metreon | Theatre 9 17 Chatbots Solution: – Support the discovery phase through chatbot – Integration of chatbots in the execution phases Problem: How do we effectively leverage conversational interfaces for migration across the entire lifecycle? Help me complete the missing discovery info Look up all X and its migration readiness Identify the bundles for migration for account X and the plan for each Schedule bundle 2 for migration Help me with the network setup…. Help me recover from failed data migration? Account X is 80% ready Identifying 10 bundles and plans. Enter more to see the details. Interface established to TM, Migration scheduled Pre-migration steps not completed Network failure press more for details. Click here to access the HOWTO… Migration KB Data lake Planner Project mgmt Execution engine Trouble shooting Migration Analyst Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
  • 18. IBM Services - Cloud Migration Factory Overview 18 Cloud Migration Practitioners & Leadership Hub Cloud Migration Practitioners More than 4000 IBM Services professionals, forming a team of multicloud migration and modernization experts. Capability spanning all size & levels of complexity, across industries, cloud platforms, and Data Center relocation. Experienced by our clients through a common set of tools, methods and processes, delivered through an efficient and optimized factory model. Engaging with our clients through dedicated solution and delivery professionals. Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
  • 19. Learn more from our migration and modernization stories Learn more: https://www.ibm.com/case- studies/LiquidPower-2 Learn more: https://www.youtube.com/watch?v=hdm wvRbDbvM Learn more: https://www.ibm.com/case- studies/weston-foods Visit our Cloud Migration Portal for more information and engage our experts - • https://www.ibm.com/cloud/migration-services • https://www-935.ibm.com/services/cloud-migration/ • https://www.ibm.com/us-en/marketplace/multicloud-migration 19Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
  • 20. Thank you 20 Arvind Viswanathan IBM Distinguished Engineer — arvind@ca.ibm.com +1-604-351-6745 Maja Vukovic Research Manager, IBM Research — maja@us.ibm.com +1-914-945-4726 ibm.com Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
  • 21. Notices and disclaimers 21 © 2019 International Business Machines Corporation. No part of this document may be reproduced or transmitted in any form without written permission from IBM. U.S. Government Users Restricted Rights — use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM. Information in these presentations (including information relating to products that have not yet been announced by IBM) has been reviewed for accuracy as of the date of initial publication and could include unintentional technical or typographical errors. IBM shall have no responsibility to update this information. This document is distributed “as is” without any warranty, either express or implied. In no event, shall IBM be liable for any damage arising from the use of this information, including but not limited to, loss of data, business interruption, loss of profit or loss of opportunity. IBM products and services are warranted per the terms and conditions of the agreements under which they are provided. IBM products are manufactured from new parts or new and used parts. In some cases, a product may not be new and may have been previously installed. Regardless, our warranty terms apply.” Any statements regarding IBM's future direction, intent or product plans are subject to change or withdrawal without notice. Performance data contained herein was generally obtained in a controlled, isolated environments. Customer examples are presented as illustrations of how those customers have used IBM products and the results they may have achieved. Actual performance, cost, savings or other results in other operating environments may vary. References in this document to IBM products, programs, or services does not imply that IBM intends to make such products, programs or services available in all countries in which IBM operates or does business. Workshops, sessions and associated materials may have been prepared by independent session speakers, and do not necessarily reflect the views of IBM. All materials and discussions are provided for informational purposes only, and are neither intended to, nor shall constitute legal or other guidance or advice to any individual participant or their specific situation. It is the customer’s responsibility to insure its own compliance with legal requirements and to obtain advice of competent legal counsel as to the identification and interpretation of any relevant laws and regulatory requirements that may affect the customer’s business and any actions the customer may need to take to comply with such laws. IBM does not provide legal advice or represent or warrant that its services or products will ensure that the customer follows any law. Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation
  • 22. Notices and disclaimers continued 22 Information concerning non-IBM products was obtained from the suppliers of those products, their published announcements or other publicly available sources. IBM has not tested those products about this publication and cannot confirm the accuracy of performance, compatibility or any other claims related to non-IBM products. Questions on the capabilities of non-IBM products should be addressed to the suppliers of those products. IBM does not warrant the quality of any third-party products, or the ability of any such third-party products to interoperate with IBM’s products. IBM expressly disclaims all warranties, expressed or implied, including but not limited to, the implied warranties of merchantability and fitness for a purpose. The provision of the information contained herein is not intended to, and does not, grant any right or license under any IBM patents, copyrights, trademarks or other intellectual property right. IBM, the IBM logo, ibm.com and [names of other referenced IBM products and services used in the presentation] are trademarks of International Business Machines Corporation, registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the Web at “Copyright and trademark information” at: www.ibm.com/legal/copytrade.shtml. Think 2019 / Session 3182 / February 14, 2019 / © 2019 IBM Corporation