[Session 3571] Secrets to Success: Deploying an Expert ...€¦ · - IBM Watson Assistant, IBM...
Transcript of [Session 3571] Secrets to Success: Deploying an Expert ...€¦ · - IBM Watson Assistant, IBM...
[Session 3571] Secrets to Success: Deploying an Expert Assistant based on IBM Watson AI and Kubernetes for Workday—
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Frank [email protected] Software Applications Engineer, Workday
Bryan [email protected] Cloud Solutions Architect, IBM Global Cloud Acceleration Team (GCAT)
Welcome!
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Frank [email protected]
Workday on Workday (WoW) Tech Team
Personal Fun Fact: Avid snowboarder who likes to take his
kids down black diamonds.
Bryan [email protected]
IBM Global Cloud Acceleration Team
Personal Fun Fact: Maintain saltwater reef aquariums as a hobby
Our Wex (Workday Expert) Vision
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Develop an extensible, end-to-end Assistant experience inclusive of all Workday domains that works “out of the box” for our Workmates:
1.Answers workmate questions with useful and well-crafted responses
2.Directs workmates to resources where they can reference additional information
3. Leverage our Workmates natural workspace4.Responses are optimized with machine learning5. Experience that is rooted in Workday’s culture
Meet Wex
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Wex is a scout dog. He's fun, empathetic, and trustworthy. Wex is casual and playful, but always respectful in providing guidance on a wide range of employee questions, concerns, and expectations. He’s constantly learning new tricks and enthusiastically applying new skills to guide workmates through their moments that matter.
ToneAge
Gender
Location
Occupation
Breed
Puppy
Male
Pleasanton, CA
Workday Expert
Bulldog, Bullmastiff,
Lab, Rottweiler
Serious
Formal
Irreverent
Matter-of-Fact
Funny
Casual
Respectful
Enthusiastic
I’m Wex, your Workday Expert.
I’m constantly learning new
things and I’m here to help you
with your HR questions.
Wex’s Journey at Workday
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User Context Persona Flags
Application, Data, and AI forNatural Language Processor
(NLP)
NaturalWorkspace
+ +
Wex’s Journey to the IBM Cloud
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Learned Kubernetes, Docker, IBM Cloud. We worked closely with our IBM partners(i.e. IBM GCAT –Global Cloud Acceleration Team)
Wex launch to U.S. based Workmates!
Align with Partners:• Workday on Workday (WoW)• Security• Privacy & Compliance• HR Ops• Product• Legal
Prototyped a POC… Gained approval from Security, Privacy, Ethics, Compliance, and Legal
Working with Workday HR Ops, we defined our product MVP & gathered additional requirements
Developed, Tested and Iterated...
Communicated, marketed, built brand awareness around Wex. Piloted Wex in New Hire Orientation
Wex Architecture – Built on IBM Cloud
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• IBM Container Registry
• IKS Cluster deployed into an IBM Multizone Region (MZR)
• IBM managed master nodes
• Private endpoints to IBM Managed Cloud Services (i.e. Watson, Redis, Logging, Monitoring, etc.)
Wex Architecture – Deploying Our Code
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Leveraged our on-premise GitHub repo with with IBM Cloud CLI tools to manage our code and deployment scripts.
Wex Architecture – Monitoring and Logging
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IBM Cloud provided monitoring and logging tools
Easily add to your cluster
Define custom views and alerts
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Business Impact
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Business Impact
US Tier 1 Requests Year Over Year
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Wex Launched on October 22nd, 2019
In 2019, we had ~2,000 more employees but thanks to Wex had a reduced number of Tier 1 requests.
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Business Impact
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What’s Next?
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People & Purpose
Legal
Multi-Region (Global)
Information Security
Workplace & Safety
Wex Extensibility
Expanding our current Multizone NA deployment to a Multi-Regional global deployment, leveraging IBM
Cloud data centers.
In Summary
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• Paired technology with a personality, and involved multiple lines-of-business to ensure wide adoption
• Leveraged IBM Cloud Services to ensure rapid prototyping, development, and deployment to production- IBM Watson Assistant, IBM Kubernetes Services, IBM Cloud Database, IBM Monitoring and Logging- IBM PaaS minimizes the effort needed by Workday Team to manage the environment
• IBM provides a wealth of resources to help get started, like the IBM Global Cloud Acceleration Team (GCAT)
Technical Lessons Learned
1. For conversational interactions (Watson Assistant), plan your intent architecture from the beginning.
2. If using IKS, get familiar with concepts such as deployments, pods, services, replication controllers and leverage the built-in resources provided by the IBM Cloud (i.e. Container Registry Services, Load Balancers, Multi-zone regions for HA)
3. Leverage repeatable deployment processes. IBM provides Terraform, Schematics, and CI/CD Toolchains.
4. Monitoring and Logging is a must, especially when you have many different pods running in your cluster. Add the name of your service or pod to your log output to help maintain sanity. IBM Cloud provides logging and monitoring services that integrate with Kubernetes and PaaS services.
IBM Cloud: The most open and secure public cloud for business
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Open Innovation
⎻ API Services that are cloud delivered
⎻ Kubernetes on IBM Cloud: 1k+ clients, 19k+ clusters in production
⎻ Major contributor to cloud native open source work: Istio, Knative, Razee, etc.
⎻ Highest compliance for data encryption
⎻ Configurable so that even IBM cannot see your data
⎻ Edge-to-cloud threat management with IBM security integration
⎻ #1 VMware public cloud 2,000 clients
⎻ Cloud migration for Power AIX, IBM i, Z, SAP and mission critical
⎻ Broadest portfolio of compute instances, including Power & X86
Security Leadership
Enterprise Grade
Highest level of EncryptionFIPS 140-2 Level 4
Isolation for Cloud NativeROKS & Containers on BareMetal
No Data Egress Charges with IBM Cloud DatabaseSignificantly Lower TCO
No Cost Bandwidth b/w RegionsSignificantly lower TCO
Integrated IaaS & PaaS Enhanced Availability SLAs HA: 99.99%, Non-HA: 99.9%
Higher SLA payouts vs Market25% of monthly @ 60 min
Audit TransparencyTraceable Serial number compliance
Full Control to the metal levelFull admin control of compute
World's First Financial Services-Ready Public Cloud With Bank of America
Customer Choice Award for Cloud IaaS
Stratus Awardfor User ExperienceGood Design Award for VPC
Good Design Award for API Connect
2019 IBM Winners
The highest ratings for Integration & Deployment: 4.6 out of 5 stars
The highest ratings for Customer Willingness to Recommend: 95%
The highest ratings for Security & Compliance: 4.7 out of 5 stars
The leading overall Customer Rating: 4.7 out of 5 stars
19Gartner Peer Insights reviews constitute the subjective opinions of individual end users based on their own experiences, and do not represent the views of Gartner or its affiliates.https://www.gartner.com/reviews/market/public-cloud-iaas/vendor/ibm/product/ibm-cloud
IBM Cloud: Highest Customer Ratings on Gartner Peer InsightsIBM Cloud Received the Highest Overall Customer Rating among Leading Cloud Providers for the last 12 months, as of 28 Feb 2020, based on 84 reviews. Customers rated IBM Cloud above AWS, Google Cloud, and Microsoft Azure.
Thank you
20Think 2020 / © 2020 IBM Corporation
Frank Chang
Sr. Software Applications Engineer
Workday
Bryan Daniel
Sr. Cloud Solutions Architect
IBM Global Cloud Acceleration Team (GCAT)
Notices and disclaimers
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