IBM Presentations: Smart Planet Template

Transparantie IBM’s capabilities in Internet of Things, Analytics, Weather, Cognitive Computing

Ronald Teijken Business Development IoT rteijken1@nl.ibm.com 0613246747 SCM_Ronald A 360° view of the environment is achieved leveraging multiple data sources to develop a hyper-local multidimensional strategy

Optimizing productivity Predicting weather conditions Understand optimal maintenance schedule Accurate weather forecast help identify and capacity constrains to optimize optimal farming conditions and gain productivity and yields foresight on yields

Understanding the consumer Gaining insight on livestock conditions Early identification of consumer preferences Hyper-local analysis on changing dairy and changing trends to gain deeper insight conditions and its impact on yields on demand shifts and market prices Our intelligent analytics engine, actionable models that generate new insights to lower costs and increase yields

Collect hundreds of metrics Generate performance Developed actionable Drive productivity and to create 360 view models insights yield rates

Historical analysis of weather, soil Identify optimal recollection and seeding conditions and humidity patterns times

Lower Costs

Hyper-local yield models, leveraging sensor data and weather forecasts Increase yields and drive asset productivity

Higher Yields

Collect and analyze hundreds of  Created a precise, holistic and  Provided detailed and  Increase yields, productivity metrics to obtain a 360 degree micro-view of dairy products, actionable insights to drive and asset efficiency through view of the environment assets and weather productivity and increase hyper-local analytical models yields Data at the edge changes how we look at information

90% 2X Of data created over the last 10 years Rate of data creation compared to the was never captured or analyzed expansion of bandwidth over the past decade

60% By 2017 Of valuable sensory data loses value in The collective computing and storage milliseconds capacity of smartphones will surpass all worldwide servers Confluence of several forces of technology – Cloud / Analytics / Mobile / Social & IoT

Cloud

Mobile

Social

Analytics

Internet of Things

5 More and more Data …

Island Solutions dominate and prevent optimal development for farmers

Social Media

Weather GIS Data from Drone sensor & image Seeding/Planting Data Satellites transmissions Farmer’s Sensors Input Challenges: Farmers buy different brands of sensored equipment How do they safeguard the data and cooperate with other businesses? Growers need to collect, standardize, handle and analyze big data to create value

Farmer/Grower do not know what to choose from….. Application Sensors Pivot Irrigation for Inputs system sensors

Yield Sensors on Soil Nitrogen Environmental data – Drip Irrigation Harvesting Moisture Sensors temp. humidity, wind sensors Equipment Sensors IBM´s Bluemix is innovating to drive solutions in Agribusiness Smarter Agribusiness “Insight as a Service” Architecture

First Second Third Data Sources party party party mobile Farmer equipments data weather drone satellite Literature data soil topography Land-use Irrigation data Input IBM Bluemix is innovating to drive solutions in Agribusiness Smarter Agribusiness “Insight as a Service” Architecture

High Performance Computing API management Streams Predictive Optimization Insight Data Massive Scale Spatio Temporal Big data Large Scale Enriched Agribusiness SQL/NoSQL store Integration processing Analytics Data Qualified Insights Data Market Place Acquired Data

Watson Services Watson discovery advisor Cow physical models Farm zone management Factoid Research Irrigation Nutrient Corpus Corpus Management API Watson for Weather Automation Prediction management Agriculture Decision Deep Computing Agribusiness Analytical Models Hub

Asset Soil Livestock Weather Pest & Disease Management Management Management Forecast Management

Government/Universities Farmers/ Precision Livestock Agribusiness companies Go to Market Cooperatives companies Channels

Asset Soil Livestock Weather Pest & Disease Management Management Management Forecast Management

Forecasts Ad Hoc & Advanced End User Instrumented Visualization Delivery Mobile enabled Analytics and Decision Delivery Portal Support Data

Government/Universities Farmers/ Precision Livestock Agribusiness companies Go to Market Cooperatives companies Channels

Asset Soil Livestock Weather Pest & Disease Management Management Management Forecast Management

First Second Third Data Sources party party party mobile Farmer equipments data weather drone satellite Literature data soil topography Land-use Irrigation data Input 12 Cognitive systems rely on collections of data and information:

Data, information, and expertise create the foundation.

Examples include: Analyst reports Newspapers tweets Blogs Wire tap transcripts Wiki Battlefield docs Court rulings E-mails Sensors Texts Stolen vehicle data Forensic reports Missing persons data

1 3 …and then leverage Watson APIs to apply cognitive capabilities Retrieve and Rank .

50 underlying technologies

Entity Extraction Natural Language Classifier Sentiment Analysis Personality insights Emotion Analysis (Beta) Relationship Extraction Keyword Extraction Retrieve and Rank Concept Tagging Tone Analyzer Taxonomy Classification Emotive Speech to Text Author Extraction Text to Speech Language Detection Face Detection Text Extraction Image Link Extraction Microformats Parsing Image Tagging Feed Detection Text Detection Natural Language Linked Data Support Visual Insights Classifier Concept Expansion Visual Recognition Concept Insights AlchemyData News Tone Analyzer Dialog Tradeoff Analytics Document Conversion Language Translation

1 4 As a strategic partner IBM uniquely positioned to address the challenges in the agriculture industry across the ecosystem.

Is a leader in the IoT Is the worlds leader in (sensors) Ecosystem advanced analytics An industry leader Is a leader in IBM is investing $3 billion BUSINESS ANALYTICS in Cloud Services to build an "Internet of IBM has the world’s deepest Mobile Solutions Things" division portfolio of analytics and the and platforms We monitor 13 billion Has exclusive Watson industry expertise of 8,000 security events every day and cognitive computing business analytics consultants and have more than 1,000 and 400 researchers. researchers and developers technology working on security and privacy breakthroughs

Has advanced weather Has the ability to handle massive prediction tools like amounts of big data (high Deep Thunder performance computing) and apply the advanced analytics in ways that are not available today in the industry. Is the leader in Traceability solutions and genetics for food safety Has the largest private research organization in the world IBM Research Is the Global Leader Innovation that Matters Social analytics Is a leader in the weather Has industry leading • 18 years of patent leadership (Twitter partnership) analytics business Is the industry • Five Nobel Laureates GIS and drone data Only IBM is able to The Weather Company + Leader in Supply • Six Turing Awards deliver across the processing IBM Cloud + IBM Chain Analytics • 12 Labs around the World complete ecosystem expertise Analytics and Expertise & Optimization • 3000 Researchers