Applied AI From Text to IoT Analytics. Jean-Francois Martin Head of Products

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1 Applied AI From Text to IoT Analytics Jean-Francois Martin Head of Products

2 Text Analytics

3 NSTEIN TECHNOLOGIES 2000/10 OFFICES IN MTL, LONDON, PARIS, TOULOUSE 250+ BIG DATA ENGINEERS & LINGUISTS $ 25M PUBLIC ON VENTURE EXCHANGE - SOLD TO OPEN TEXT Text Analytics / Semantic Search PROUDLY MADE IN MONTREAL

4 EARLY 2000s AI on UNSTRUCTURED CONTENT 4

5 MACHINE LEARNING CLASSIFICATION 5

6 SEMANTIC SEARCH 6

7 SEMANTIC SEARCH 7

8 SEMANTIC SEARCH 8

9 SEMANTIC WEB 9

10 MACHINE LEARNING TONE DETECTION 10

11 Internet of Things Analytics

12 45 30 IN NUMBERS 2012 HQ: MONTREAL, CANADA CUSTOMERS ACROSS 4 CONTINENTS $ 6M + MARKET-LEADING PRODUCT MNUBO FOUNDED TO BUILD THE BEST IoT ANALYTICS PLATFORM SERIES A FUNDING IOT DATA EXPERTS PRODUCTS USING MNUBO TRACTION AND GROWTH + CUSTOMER SUCCESS mnubo s ready-to-use SmartObjects platform and expertise in IoT data will save us years of development work and help us deliver realtime value to our customer base Jocelyn Boudreau CEO of Hortau mnubo's out-of-the-box insights allowed us to deliver enhanced customer value within a few weeks of integration - accelerating timeto-insight with immediate ROI Adam Weiss Director of Technology at GSI AND OTHERS RECOGNITION PROUDLY MADE IN MONTREAL

13 EARLY 2010s AI on SENSOR DATA 13

14 INTERNET OF THINGS ANALYTICS? WEB ANALYTICS APP ANALYTICS IOT ANALYTICS www Pageviews Sessions Visitors Bounce rate Logins App Crashes Purchases Downloads Product Scoring & Benchmarking User Engagement & Behavior Lifecycle Management Session Analytics Anomaly & Outlier Detection Capacity & Usage tracking Predictive Replenishment Churn / User retention Connectivity analytics Installed Base Condition Monitoring & Predictive Maintenance

15 MACHINE LEARNING - SESSION ANALYTICS Key Business Questions 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 Start Door Open Panel On Door locked Irrigation On, etc. Stop Door Close Panel Off Door unlocked, Irrigation Off, etc. User engagement tracking Analyse user interactions rates, set up usage-based pricing strategy, etc.

16 MACHINE LEARNING SCORING Key Business Questions 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. Social Media IOT - Internet of Things 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 tracking Which customers are valuable/most engaged, which customers are likely to churn Likes Event1 Shares Comments Posts Weights Scoring Function Engagement Score Event2 Event3 Event4 Weights Scoring Function Profiling Score

17 AGRICULTURE EQUIPMENT PROFILE Agriculture IoT Platform anchored around the world s most accurate Soil Tension sensor USE CASE Product 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

18 HEATING DEVICES CANADA S LARGEST HEATING UNIT MAKER Ships over 1.2M heating units and electronic controllers per year within North America USE CASE Understand 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

19 HOTEL DOORLOCKS PROFILE SWX: DOKA, second largest manufacturer of hotel doorlocks Large portfolio of security and access solutions, from doorlocks upto airport electronic boarding gates Revenue: over CHF 1B Employees: 7,400 USE CASE Data-driven product engineering, using insights to improve products Anomaly detection, wandering intruder detection Predictive battery life

20 CONNECTED APPLIANCES PROFILE Anheuser-Busch InBev (NYSE: BUD) Multinational beverage and brewing company - the world's largest brewer with a 25% global market share Revenue: USD$15.3B (USD$ 43.6B) Employees: 150,000+ USE CASE Understand 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 REVENUES FROM REPLENISHMENT AND UPSELL

21 SMART HOME icontrol NETWORKS Largest Smart Home Platform in the world with over 33M devices deployed USE CASE Home Usage Profiling and clustering Predictive Battery Life, reducing truck rolls and troubleshooting hours Security Scoring to enable home insurance monetization