2016: applying ai innovation in business

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Applying AI Innovation in Business: Why and How Leandro Nunes de Castro [email protected] @ lndecastro Informatics and Computing Faculty (FCI) Graduate Program in Electrical Engineering and Computing (PPGEEC) Natural Computing and Machine Learning Laboratory (LCoN) www.mackenzie.br/lcon.html November 2016 1

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Page 1: 2016: Applying AI Innovation in Business

Applying AI Innovation in Business:Why and How

Leandro Nunes de [email protected]

@lndecastro

Informatics and Computing Faculty (FCI)

Graduate Program in Electrical Engineering and Computing (PPGEEC)

Natural Computing and Machine Learning Laboratory (LCoN)

www.mackenzie.br/lcon.html

November 2016 1

Page 2: 2016: Applying AI Innovation in Business

The Perspective on the SubjectAcademic Entrepreneur Intrapreneur

LSIn@Unisantos

@Mackenzie

2002 2006

20102016

2006

2010

2016

2004

2009

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http://mattturck.com/2016/09/29/building-an-ai-startup/

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< year 2000

> year 2010

AI researchers as weirdos!

AI researchers as rock stars!

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Who’s been doing AI nowadays?Tech Giants

sTech Companies

AI-based-

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AI Trends

Specific Solutions

Big Data

Video/Voice/SignalRecognition

HCI

General Intelligence

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Why do non-AI-based Tech Companies Struggle?

• AI professionals are usually prepared in a Ph.D. level• And thus are rare ... and expensive.

• AI Teams are usually multidisciplinar: engineers, computerscientists, mathematicians, etc.• And thus are expensive and hard to assemble.

• AI teams are a novelty within the companies• And thus most companies still don’t know how to deal with them.

• AI products/solutions are designed and deployed differently• And companies need to learn how to deal with them.

• Usually require top engineers to productize and deploy AI.• Ideally must do both.

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The Tech Giant Way

• They hire AI RockStars andAcquire AI Startups

• They make products to improve their businesses, but alsoplatform level products

Andrew Ng

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A Shortcut to non-AI-basedCompanies to harness the power of

AI is to partner with academia.

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Founded in 2009, the Natural Computing and

Machine Learning Laboratory (LCoN) aims at promoting and performing

R&D and Technology Transfer in AI, emphasizing the design and application of computer models and

algorithms to solve complex problems in a wide range of areas.

• Data/Text/Image/Web Mining

• Web Semantics

• Multivariate Data Analysis

• Pattern Recognition

• Logistics and OperationsResearch

• Inverse Problems

• Unmanned AerialVehicles AutonomousNavigation

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• Over 300 scientific papers published

• 12 books published

• 1 Patent deposited

• 39 R&D projects written, approved and developed (4 underdevelopment)

• 29 M.Sc. and 07 Ph.D. students graduated

• 15 awards/certificates of academic merit

• 3 spin-offs

LCoN in Numbers

Image(s): FreeDigitalPhotos.net12

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There is a generic “Technical-Scientific Agreement” to besigned between the company and Mackenzie

-> Interest in collaboration.

The realization of collaborative projects will demand an“Addendum”.

-> Workplan, timelines, deliverables, involvement, expenses, etc.

Start working!

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The Partnership Process Flow

Long term projects: 1 year+Medium term projects: ½ year+Small Jobs: on demand

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Benefits to the Partners• Full access to all the research performed within the lab;

• Full visit priviledges to the lab;

• One day a month fully dedicated to the company;

• Student recruitment;

• Networking;

• Development of projects dedicated to the company;

• Possibility of having a collaborator intern in the lab;

• Possibility of having lab members intern in the company; e

• Full access to all lab events, such as LCoN Meetings, StudyGroups, Workshops, etc.

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Become a Partner!

Contact us and schedule your visit!

Contact: [email protected]

/lcon.mack

@lcon_mackenzie

Leandro Nunes de Castro13 – 981.261.18411 – 2114.7529