Applied AI From Text to IoT Analytics - CRIM · Applied AI From Text to IoT Analytics. Text...
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Transcript of Applied AI From Text to IoT Analytics - CRIM · Applied AI From Text to IoT Analytics. Text...
Text Analytics
250+BIG DATA ENGINEERS& LINGUISTS
Text Analytics / Semantic Search
OFFICES IN MTL, LONDON, PARIS, TOULOUSE
2000/10PUBLIC ON VENTURE EXCHANGE - SOLD TO OPEN TEXT
$ 25M
PROUDLY MADE IN MONTREAL
NSTEIN TECHNOLOGIES
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EARLY 2000s – AI on UNSTRUCTURED CONTENT
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MACHINE LEARNING – CLASSIFICATION
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SEMANTIC SEARCH
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SEMANTIC SEARCH
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SEMANTIC SEARCH
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SEMANTIC WEB
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MACHINE LEARNING – TONE DETECTION
Internet of Things Analytics
MNUBO FOUNDED TO BUILDTHE BEST IoT ANALYTICS PLATFORM
2012SERIES A FUNDING
$6MHQ: MONTREAL, CANADA
CUSTOMERS ACROSS 4 CONTINENTS
MARKET-LEADING PRODUCT45IOT DATA EXPERTS
30PRODUCTS
USING MNUBO
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IN NUMBERS
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TRACTION AND GROWTH
CUSTOMER SUCCESS
mnubo’s ready-to-use SmartObjectsplatform and expertise in IoT data will save us years of development work… and help us deliver real-time value to our customer base
Jocelyn BoudreauCEO of Hortau
mnubo's out-of-the-box insights allowed us to deliver enhanced customer value within a few weeks of integration - accelerating time-to-insight with immediate ROI
Adam WeissDirector of Technology at GSI
… AND OTHERS
RECOGNITION
PROUDLY MADE IN MONTREAL
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EARLY 2010s – AI on SENSOR DATA
• Product Scoring & Benchmarking• User Engagement & Behavior• Lifecycle Management• Session Analytics• Anomaly & Outlier Detection• Capacity & Usage tracking
• Logins• App Crashes• Purchases• Downloads
• Pageviews• Sessions• Visitors• Bounce rate
www
WEB ANALYTICS APP ANALYTICS IOT ANALYTICS
INTERNET OF THINGS ANALYTICS?
• Predictive Replenishment• Churn / User retention• Connectivity analytics• Installed Base• Condition Monitoring &
Predictive Maintenance
MACHINE LEARNING - SESSION ANALYTICS
Timeseries predictions Rates/variation/frequency of sessions over time Duration of sessions Etc.
Measurable Results
Predictive replenishment/replacement (e.g. battery life, supplies, etc.)
Proactive planning/maintenance based on anticipated trends
User engagement trackingAnalyse user interactions rates, set up usage-based pricing strategy, etc.
Key Business Questions
Door Open Panel On
Door lockedIrrigation On, etc.
Door ClosePanel Off
Door unlocked, Irrigation Off, etc.
Start Stop
MACHINE LEARNING – SCORING
How are my products behaving?
What products need servicing?
Are my products used to their full potential?
How does usage vary over time?
Security Profiling, etc.
Key Business Questions Measurable Results
Product feedback & service monitoring What products to service, compare product performance with a group of products, assess product behaviour over time
Usage behaviour & engagement trackingWhich customers are valuable/most engaged, which customers are likely to churnSocial Media IOT - Internet of Things
Wei
ghts
Likes
Shares
Comments
PostsScoring
Function
EngagementScore
Wei
ghts
Event1
Event2
Event3
Event4Scoring
Function
ProfilingScore
AGRICULTURE EQUIPMENT
PROFILEAgriculture IoT Platform anchored around the world’s most accurate Soil Tension sensor
USE CASEProduct performance KPIs and anomaly detection
Predictive Evapotranspiration & Soil Tension, providing recommendations to farmers through their Irolis app
Data-driven support to a business model transformation to ‘Irrigation as a Service’
HEATING DEVICES
CANADA’S LARGEST HEATING UNIT MAKERShips over 1.2M heating units and electronic controllers per year within North America
USE CASEUnderstand the customer’s usage of and engagement with their new product line
Monitor product performance, faults, anomalies
Drive R&D and engineering decisions based on live field data, leading to an higher-quality product line
HOTEL DOORLOCKSPROFILESWX: DOKA, second largest manufacturer of hotel doorlocksLarge portfolio of security and access solutions, from doorlocks upto airport electronic boarding gatesRevenue: over CHF 1BEmployees: 7,400
USE CASEData-driven product engineering, using insights to improve products
Anomaly detection, wandering intruder detection
Predictive battery life
CONNECTED APPLIANCES
PROFILEAnheuser-Busch InBev (NYSE: BUD)Multinational beverage and brewing company - the world's largest brewer with a 25% global market shareRevenue: USD$15.3B (USD$ 43.6B)Employees: 150,000+
USE CASEUnderstand and track the usage and consumption of the connected beer fridge
Enrich with sports schedules to drive customer engagement
Enable predictive replenishment to auto order beer based on forecasted consumption
17% INCREASE IN REVENUESFROM REPLENISHMENT AND UPSELL
SMART HOME
iCONTROL NETWORKS Largest Smart Home Platform in the world with over 33M devices deployed
USE CASEHome Usage Profiling and clustering
Predictive Battery Life, reducing truck rolls and troubleshooting hours
Security Scoring to enable home insurance monetization
