ibm ronald teijken

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Weather the STORM 1 team 2 wheels 23 students 80 days to remember

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Page 1: Ibm ronald teijken

Weather the STORM

1 team 2 wheels 23 students 80 days to remember

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Follow #STORM80Days

Live via www.STORM-Eindhoven.com

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Weather is a daily habit forCONSUMERS

SO IT IS FOR DRIVERS

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Weather Impacts Every Business

Ground Transportation

Aviation Retail

Insurance

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Agriculture

Oil & GasUtilities

Weather Impacts Every Business

Financial Services

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So It Does On Battery Performance

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Teaming UpWithStorm-Eindhoven

140 airlines served

Globally, more than

750+ TV stations globally

5,000+ businesses180 million consumers

200 million mobile app downloads200,000+ personal weather stations

To Examine The Impact Of Weather On Battery Performance

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Our Story is About Data at ScaleInternet of Things

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100x More Sensors Than Public Sources 200,000 Personal Weather Stations

Legend: Airport sensors Personal weather sensors

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15 MILLION DEVICESContributing Pressure and Location Data

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The Data Story is Also About PrecisionCurrents on Demand for 2.2 Billion Points On Earth

Netherlands Has The Most Private Weather Stations Per Capita Of Any Country In The World

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And Accuracy

162 Forecast

Models

A Single Forecast Model Doesn’t Produce The Best Results; A Combination of 162 Models Does

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Forecasts On-Demand

FoD  mav  grid mos nammo  ecmwf_ens ecmwf nam rpm-reg mex rpm-glbl gfs gefs1.4

1.6

1.8

2

2.2

2.4

2.6

2.8

3

2015 US 1-3 Day Temperature Forecast RMS Errors

Various government forecast models

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Probability Forecasts

Decisions made without probability-based analytics will always result insuboptimal economic outcomes

0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 200

2

4

6

8

10

12

14

16

Perc

ent

86.4% probability of snowfall0 inches – 1st most probable outcome

Snowfall (inches)

10 inches – 2nd most probable outcome4.8 in.– least error forecast (FOD today)4.5 in.– 50% probability forecast31.1% probability of 10 inches or more

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The SUN Platform24+compressed

ingested per day in production

100sin data lakes

analyzed and stored

15 BillionAPI requests

handled per day

data typessupported today>100

Terabyte

Petabytes• A cloud-based data platform

that ingests large volumes & types of data 

• Delivers insights from precise weather data combined with location and other data sets

• Enables companies to embed weather insights into decision support platforms to take take action

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Hyper-Local Weather Data

IoT / Data• Smart

phones• Homes• Planes• Sensors• Cars

SUN PLATFORM

Businessescan offer savings, engage customers, intro new features

Consumersreceive alerts on mobile devicesAnalytic

salert

Applying Analytics to Weather

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Using Analytics to Engage

CustomersHyper-Local Weather Data

Home IoT Sensors• H20

meter• A/C• Electrical

panel• Sewer

System

SUN PLATFORM

Insurance Provider can offer savings, alerts, new features

Motor Driver alerted on mobile device

Analytics• 40,000 smart home

sensors • 10,000 home

owners with mobile or website warnings

• 300 Insurance workers who want to study their clients water usage & warnings

alert

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HyperlocalForecast PWS Data Will Feed Into Weather Underground's Forecast Model To Generate Hyperlocal Forecasts For The Students Along Their Tour

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All Data Will Be AnalyzedAnd Correlated With Weather Data

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To ExamineThe Impact On Battery Performance

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Weather the STORMFollow #STORM80Days

Live viawww.STORM-Eindhoven.com

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ThankYou

Ronald Teijken@SCM_Ronald