Big data in foods & IBM Chef Watson agrofood park

In Foods

Kom Big Data i Maden - Add a spoonful of Big Data Agrofood Park – May 28, 2015 Anders Quitzau, IBM Watson Advocate, Ole Møller Madsen, Big Data specialist, © 2015 International Business Machines Corporation

2 © 2015 International Business Machines Corporation

Key takeaways

! Big data is the ‘new’ ingredient in agribusiness ! Big data is not just for big companies ! DRIP: Data Rich Insights Poor ! Cognitive will help us innovate in the food sector ! The big data & AI train is moving fast – don’t miss it

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“Data is the new Oil. Data is just like crude. It’s valuable,

but if unrefined it cannot really be used.” – Clive Humby

Big Data: The new natural resource


Creation of data drives demand for insights through analytics . . . Every day, we create 2.5 quintillion bytes of data - so much that 90% of the data in the world today has been created in the last 2 years

2010 2020

Sensors & Devices

Text

Enterprise Data

Images/ Multimedia

44 Zettabytes

Gap

Traditional

You are here

file://localhost/.file/id=6571367.155452205



�The Internet of Things allows businesses and public-sector organizations to manage assets, optimize performance, and create new business models.�

- McKinsey Global Institute

�The IoT is innately analytical and integrated.� - IDC

�The Internet of Things is the network of physical objects that contains embedded technology to communicate and sense or interact with the objects' internal state or the external environment.�

- Gartner

400% Google search traffic on �Internet of things� quadrupled in 20141

75% of companies are exploring or using IoT in the business in some respects (internally/externally)2

62% of C-suite executives believe that companies slow to integrate IoT will fall behind the competition2

IoT will change how farmers, business and governments

operates

Internet of Things is here today….


Data at Scale Data in Many Forms Data in Motion Data Uncertainty

Volume Variety Velocity Veracity

Big Data is All Data


New Architecture to Leverage All Data and Analytics

Data$in$Mo)on$

Data$at$Rest$

Data$in$Many$Forms$

Information Ingestion and Operational Information

Decision Management

BI and Predictive Analytics

Navigation and Discovery

Intelligence Analysis

Landing Area, Analytics Zone and Archive !  Raw Data !  Structured Data !  Text Analytics !  Data Mining !  Entity Analytics !  Machine Learning

Real-time Analytics

!  Video/Audio !  Network/Sensor !  Entity Analytics !  Predictive Exploration,

Integrated Warehouse, and Mart Zones

!  Discovery !  Deep Reflection !  Operational !  Predictive

!  Stream Processing !  Data Integration !  Master Data

Streams

Information Governance, Security and Business Continuity


Analytics Breadth to Enable Decisions

How can everyone be more right… ….more often?

Descriptive

Prescriptive

Predictive

Cognitive

What has happened?

What could happen?

How can we achieve the best outcome?

Tell me the best course of action?

Big Data & Analytics

How is data managed and stored?

Business Value

Information Layer

Farm-to-table tracking - technologies and cases – 28. September 2010 Boy Steiner | September, 2011

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© Copyright IBM Corporation 2009

IBM Institute for Business Value

Farm-to-table tracking - technologies and cases – 28. September 2010 Boy Steiner | September, 2011

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Around the globe consumers are already connecting online and sharing unfiltered opinions of products and brands

Source: IBM Institute for Business Value analysis, www.facebook.com; www.couponsinc.com; �Eater, Meet Your Farmer and Say Hello�, 3/28/09, NY Times; �On Web and iPhone, a Tool to Aid Careful Shopping�, 06/15/09, NY Times

6.6 million unfiltered product reviews… �go to� site for young Japanese women

Health, environment and social impact information on 75,000 products

Input the lot code… locate the family farms that grew the grain to create your flour.

4+ million fans of…

100,000+ visitors each month… growing 20%

Provides detailed product ingredient information and building online network of ingredient �detectives� to create transparency

30,764 fans of…

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A variety of technologies are being applied to capture relevant data as ingredients, packaging and products move through the supply chain

Spinach and Produce • Dole using RFID tags to

track spinach down to a particular part of a field… not just a farm

• Western Growers using GPS to track produce as it moves through the supply chain

Eggs • A&P, in conjunction with

EggFusion, applying barcodes to individual eggs

• Each egg is marked with tamperproof freshness and traceability code

Fruits & Vegetables • Durand-Wayland label

system applies indelible laser tattoo to individual fruits or vegetables

• Replacing labor intensive PLU labels

Sturgeon • Italian aquaculture firm

Agroittica Lombarda implanting microchips into sturgeon

• Chip contains genetic, movement and dietary information

Com

pute

r Int

ellig

ence

Tabulating Systems

Era

Cognitive Systems

Era

Programmable Systems

Era

2015 1900 – 1970 1950 - today

IBM Watson today

Watson Engagement Advisor Watson Discovery Advisor Watson Policy Advisor Watson Decision Advisor

Offerings:

Watson for Wealth Management Watson for Oncology Chef Watson

Applications:

Watson Explorer Watson Analytics Watson Curator

Products

Watson Zone on Bluemix Watson Developer Cloud Watson Tooling

Platform & Ecosystem:

IBM Chef Watson.

Inspire your recipes with

Breaker slide title goes here

© 2014 International Business Machines Corporation 24

The Story: South by Southwest

Create & discover

PEER$PRODUCED$INSPIRATION$SET$

COGNITIVE$COOKING$SYSTEM$

NOVEL$CUSTOMIZED$RECIPE$

FOOD$KNOWLEDGE$DATABASE$

Cognitive Cooking

DYNAMIC$PLANNER$

COMBINATORIAL$DESIGNER$

COGNITIVE$ASSESSOR$DISH$LEARNER$

Food Knowledge Database

Recipe Recipe Step

Recipe Step Input

Recipe Step Output

Recipe Step Property

Ingredient Flavor Compound

Nutrition Fact Cuisine

Dish

Ingredient Pairing Ingredient Type

Odor Descriptor

Odor Pleasantness

recipes.wikia.com / Bon Appetit

wikipedia

USDA nutrient DB

VCF, Atlas of Odor Character Profiles, research papers

Derived from above sources

Recipe Recipe Step

Recipe Step Input

Recipe Step Output




Dish


Odor Descriptor

Odor Pleasantness

Recipe Recipe Step

Recipe Step Input

Recipe Step Output




Dish


Odor Descriptor

Odor Pleasantness

Three key dish ranking attributes surprise, pleasantness and pairing

....were able to assess product prospects and make decisions with increased confidence and underlying evidence, in a quicker and more accurate way than today?

Global leader in Product Innovation

And fastest rowing in mature and new markets

Quicker and more accurate

asessments

New Products and applications

Improved understanding

New answers and connections

…. were able to identify millions of undiscovered, well-tasting combinations of flavours and underlying ingredients and food chemistry

..... Product developers would have an advisor which has cognitive intelligence as well as predictive and data volume processing capabilities enabling identification and understanding of internal and external research data sources beyond what PDs today are capable of?

... Researchers would have an advisor that comes up with answers and connections that none of

today’s researchers knows or can make (due to the sheer lack of capability to access and process the

enormous amounts of relevant data)?

“Show me the most promising customer

segments for nutritional sour milk products in South

Americas?”

“What are the FDA regulation for

substance XYZ in UHT-milk baby products in

Kenya? ”

“Who is the research and food culture

expert New Guinea?”

What$if….

IBM Confidential 33

.$

Potential Applications for (Chef) Watson

•  Follow dietary constraints •  Reducing food waste •  Retail stores can repurpose unsold products and provide recipes with

their products. •  Food manufacturers can accelerate product development. •  Discovery / virtual testing of novel ingredients and recipes •  Caterers can make better use of their supplies and change their menus

more often. •  Other domains: perfumes, business processes, materials, design…

•  Your ideas for Chef Watson?

Conclusion

Take aways

• Big data is the ‘new’ ingredient in agribusiness

• Big data is not just for big companies • DRIP: Data Rich Insights Poor • Cognitive will help us innovate in the food

sector • The big data & AI train is moving fast –

don’t miss it

Spørgsmål og snas’er - inspired by Watson - Created by Rolf Imhof

Links: Chef Watson: https://www.ibmchefwatson.com IBM Watson: http://ibmwatson.com Big Data: http://www.ibmbigdatahub.com Develop with Watson: http://bluemix.net