Jean-Francois MartinHead of Productsjfmartin@mnubo.com

Applied AIFrom Text to IoT Analytics

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

4

EARLY 2000s – AI on UNSTRUCTURED CONTENT

5

MACHINE LEARNING – CLASSIFICATION

6

SEMANTIC SEARCH

7

SEMANTIC SEARCH

8

SEMANTIC SEARCH

9

SEMANTIC WEB

10

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

+

IN NUMBERS

+

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

13

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