ibm cloud & watson apis workshop...machine learning • algorithmic • statistical method •...
TRANSCRIPT
Do you have an IBM Cloud account?
https://cloud.ibm.com/
Have you logged in to Watson Studio?
https://dataplatform.cloud.ibm.com/
These will be the only 2 things needed in the workshop exercises today.
First things first
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IBM Cloud Platform
Application
AI
Cloud
Crawl Cleanse Enrich Store
Assistant Discovery Compare+ Comply
Knowledge Query
Tone Analysis Personality Insights
Visual Recognition Speech Document
ConversionNat. Language Understanding
Nat. Language Classifier + more...
Analyze
Dev Services
DataThe Watson Data Platform
Infrastructure
Watson Oncology
Watson Cyber
SecurityWeather
Watson Explore + Discover
WatsonVirtualAgent
Watson Compare+ Comply
GBS + GTS
Industry Solutions
+ more...
Storage Compute Physical Network Infrastructure Mgmt + more...
IAM Billing Blockchain Logging + more...
Widest selection of compute options for any workload, across global infrastructure
ServerlessMaximum
speed with serverlessapps
ContainersMaximum
portability
Virtual Server
Leverage existing languages and
tools
DEVELOPMENT SPEEDPORTABILITYPERFORMANCE & CONTROL
Bare MetalMaximum
performance and control
Platform as a Service
Extensive runtime options
IBM Cloud / © 2018 IBM Corporation
Implementing new and meaningful servicesrequires understanding of, and swiftreactions to, client’s demands.
Why AI and Cloud?
Machine Learning
• Algorithmic• Statistical method• Data is clearly divisible or
classifiable
What’s AI all about?
AI
• A system of multiple models• Narrow AI is the most
prominent use• Term is used very broadly
Deep Learning
• Subset of Machine Learning• Data driven• Multiple architectures• Data isn’t clearly divisible• Image recognition, speech
recognition
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Interfaces
• A group of ready-made services• Most common starting place• Focuses on utilizing AI• Basic capabilities for
understanding speech, images, documents and natural language
Many faces of AI
Industry specific solutions
• Ready-made solutions for industry with pre-existing models
• Accelerated start• i.e. Business intelligence,
Predictive Maintenance & Optimization, Marketing automation…
Building your own
• Building your own models fromyour own data
• Tools for building and testingof your models quickly
• Building AI competence
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Empathy
Conversation
Vision
Discovery
Speech
Language
LanguageTranslator
PersonalityInsights
NaturalLanguageUnderstanding
ToneAnalyzer
DiscoveryNews
Speechto Text
NaturalLanguageClassifier
ConversationService
Textto Speech
VisualRecognition
DiscoveryService
KnowledgeStudio
Virtual Agent
Personalized, Collaborative Team PlatformExtensible, Open API PlatformApp Developers Data Engineers Business Partners Data Scientists Data StewardsBusiness Analysts
Enterprise Data Catalog
Cloud-native Scalable Micro Services
ü Databases on-demandü Data warehousingü Fast Data Ingestü Federated query
ü Data integrationü Data curationü Governance & policiesü Data Asset lifecycle management
ü Data Scienceü Machine Learning & Deep Learningü Data Visualization & Explorationü Dashboards & Reporting
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Empathy
Conversation
Vision
Discovery
Speech
Language
LanguageTranslator
PersonalityInsights
NaturalLanguageUnderstanding
ToneAnalyzer
Speechto Text
NaturalLanguageClassifier
Watson Assistant
Textto Speech
VisualRecognition
DiscoveryService
How Watson sees, hears, speaks, feels, translates, finds
Watson services
KnowledgeStudio
Virtual Agent
Data analytics
Machine Learning
Watson Studio
Knowledge Catalog
ExampleCreate a visualrecognition service to recognize landmarks at Jyväskylä UniversityCampus
ExampleDeploy the model and use it in an app
Demo
Exercises today
Exerciseshttp://ibm.biz/oululab