Innovation Woman Technology 20160426

•

1 j'aime•213 vues

Christine Bodart

A world of too much data, too
many choices, too many
possibilities and too little time is
forcing us to decide what we value

Source: Creative people must be stopped, D. Owens

How to transform our limitations
into advantages?

Design Thinking
Understand Create Deliver

Data Science Method
Source: Foundational Method for Data Science, IBM, 2015
1. Formulate a question
2. Gather data
3. Analyse data
4. Product

Recommandé

The Business of AINabeel Adeni

ARTIFICIAL INTELLIGENCE: The Future of Business. Diego Saenz

EPR Annual Conference 2020 Workshop 1 - Simon Uytterhoeven EPR1

Is Data Scientist still the sexiest job of 21st century? Find Out!Edureka!

How to build a data science team 20115.03.13v6Zhihao Lin

Industrial Machine Learning (SIGKDD17)Joshua Bloom

Breakout Session: Kritische Führungskompetenzen im Zeitalter der künstlichen ...HWZ Hochschule für Wirtschaft

AI Panel: AI in Practice- the Good, the Bad, and the UglyLucidworks

Recommandé

The Business of AINabeel Adeni

ARTIFICIAL INTELLIGENCE: The Future of Business. Diego Saenz

EPR Annual Conference 2020 Workshop 1 - Simon Uytterhoeven EPR1

Is Data Scientist still the sexiest job of 21st century? Find Out!Edureka!

How to build a data science team 20115.03.13v6Zhihao Lin

Industrial Machine Learning (SIGKDD17)Joshua Bloom

Breakout Session: Kritische Führungskompetenzen im Zeitalter der künstlichen ...HWZ Hochschule für Wirtschaft

AI Panel: AI in Practice- the Good, the Bad, and the UglyLucidworks

Vikrant data scientistVikrant Narayan

Getting to AI ROI: Finding Value in Your Unstructured Contentindico data

The Advantages and Disadvantages of Big DataNicha Tatsaneeyapan

Top 5 Deep Learning and AI Stories 2/10NVIDIA

Big Data World Singapore 2017 - Moving Towards Digitization & Artificial Inte...Garrett Teoh Hor Keong

Impact of AI on Business IntelligenceDeesha Mukherjee

SymEx 2015 - Agile Process for Big Data AnalyticPMI Indonesia Chapter

Data Culture Series - Keynote - 24th febJonathan Woodward

APPLIED DATA SCIENCE: HET ONTWIKKELEN VAN SLIMME ICT-PRODUCTEN DIE LEREN VAN ...webwinkelvakdag

ORGANISING YOUR ADVANCED ANALYTICS PROJECTS FOR SUCCESS - Big Data Expo 2019webwinkelvakdag

Big Data: Hype vs. RealityC.K. Kumar

NUS-ISS Learning Day 2018-Painting Today's digital landscapeNUS-ISS

Tseesuren - Data is the Key for InnovationThe Business Council of Mongolia

Day 2: AI componentsMartin Polozadeh

IoT 2018Richard Marshall

How to build a career in data science / AI / ML Swathi Young

Machine Learning for Commercial ProjectsAbdul Wahid

AI and Managerial Decision MakingLee Schlenker

Big data and machine learning for BusinessesAbdul Wahid

Web aula ia (inteligência artificial) já é presente. preparado para os impac...Projetos e TI

WHY WOMEN - The Leadership Imperative to Advancing Women and Engaging MenWomen In Technology

Women in tech: Be that lightAnne Gentle

Contenu connexe

Tendances

Vikrant data scientistVikrant Narayan

Getting to AI ROI: Finding Value in Your Unstructured Contentindico data

The Advantages and Disadvantages of Big DataNicha Tatsaneeyapan

Top 5 Deep Learning and AI Stories 2/10NVIDIA

Big Data World Singapore 2017 - Moving Towards Digitization & Artificial Inte...Garrett Teoh Hor Keong

Impact of AI on Business IntelligenceDeesha Mukherjee

SymEx 2015 - Agile Process for Big Data AnalyticPMI Indonesia Chapter

Data Culture Series - Keynote - 24th febJonathan Woodward

APPLIED DATA SCIENCE: HET ONTWIKKELEN VAN SLIMME ICT-PRODUCTEN DIE LEREN VAN ...webwinkelvakdag

ORGANISING YOUR ADVANCED ANALYTICS PROJECTS FOR SUCCESS - Big Data Expo 2019webwinkelvakdag

Big Data: Hype vs. RealityC.K. Kumar

NUS-ISS Learning Day 2018-Painting Today's digital landscapeNUS-ISS

Tseesuren - Data is the Key for InnovationThe Business Council of Mongolia

Day 2: AI componentsMartin Polozadeh

IoT 2018Richard Marshall

How to build a career in data science / AI / ML Swathi Young

Machine Learning for Commercial ProjectsAbdul Wahid

AI and Managerial Decision MakingLee Schlenker

Big data and machine learning for BusinessesAbdul Wahid

Web aula ia (inteligência artificial) já é presente. preparado para os impac...Projetos e TI

Tendances (20)

Vikrant data scientist

Getting to AI ROI: Finding Value in Your Unstructured Content

The Advantages and Disadvantages of Big Data

En vedette

WHY WOMEN - The Leadership Imperative to Advancing Women and Engaging MenWomen In Technology

Women in tech: Be that lightAnne Gentle

Introduction to women in technologySreyleap Lay

Why we need more women in techLouise Fuchs

Engineering project management pptZeeshanahmed6640

Technology managementVipul Sharma

Cregg medical mach4 robots and medicines managementcreggmedical

Supply chains in perilous placesTristan Wiggill

What is the future of personal brain health? SharpBrains

10 Health Screenings Every Woman Should Takeapatheticdye7423

ExerWellness: Connected Communities in MotionJ Shasek

Global trends in technology for retailers and how they are impacting the phar...Health Informatics New Zealand

Circle plus solution_pharmacyxappnutlabs

COLOR OF PRIMARY TEETHAbu-Hussein Muhamad

Innovating health appropriate_technology_right_to_careAIDS Watch Africa

Integrating the ScriptPro Robot Dispensing SystemMaher Ishak Woodbury Pharmacy

New pharmacy rules 'should reduce dispensing mistakes'| Jason Geschwindjasongeschwindmmn

The Future of Pharmacy: Using Technology to Drive Practice ChangeJerry Fahrni

Cerenity Toilet Seat Sanitizer For Woman Health Carearpitapatel9689

Automated Dispensing Machines in PharmaciesMaher Ishak Woodbury Pharmacy

En vedette (20)

WHY WOMEN - The Leadership Imperative to Advancing Women and Engaging Men

Women in tech: Be that light

Introduction to women in technology

Why we need more women in tech

Engineering project management ppt

Technology management

Cregg medical mach4 robots and medicines management

Supply chains in perilous places

What is the future of personal brain health?

10 Health Screenings Every Woman Should Take

ExerWellness: Connected Communities in Motion

Global trends in technology for retailers and how they are impacting the phar...

Circle plus solution_pharmacy

COLOR OF PRIMARY TEETH

Innovating health appropriate_technology_right_to_care

Integrating the ScriptPro Robot Dispensing System

New pharmacy rules 'should reduce dispensing mistakes'| Jason Geschwind

The Future of Pharmacy: Using Technology to Drive Practice Change

Cerenity Toilet Seat Sanitizer For Woman Health Care

Automated Dispensing Machines in Pharmacies

Similaire à Innovation Woman Technology 20160426

1.-DE-LECTURE-1-INTRO-TO-DATA-ENGG.pptxarpit206900

Data science team (new version)Omid Mogharian

Minne analytics presentation 2018 12 03 final compressedBonnie Holub

Agile Chennai 2021 - Keynote | AI in Agility by Mukesh JainAgileNetwork

Data science team, a practice to setupOmid Mogharian

The Analytics and Data Science LandscapePhilip Bourne

DATA AND AI APPLICATIONS, TOOLS, TECHNOLOGY DIRECTIONSIkhlaq Sidhu

Minne analytics presentation 2018 12 03 final compressedBonnie Holub

DSDT Meetup May 2019DSDT_MTL

Future of ai 20190612 v1ISSIP

How to get on the AI journey? Aarthi Srinivasan

Data Scientists: Your Must-Have Business InvestmentKalido

Data Scientist Why now?Agnieszka Zdebiak

Big Data ChallengesArtem Rodichev

Data science presentation 2nd CI dayMohammed Barakat

Trl jaist 20180304 v6ISSIP

SSE 2017 10-09Galina Shubina

Norway 20190312 v3ISSIP

Analytics Trends 2015: A below-the-surface lookDeloitte Canada

Leading the FutureAnandSRao1962

Similaire à Innovation Woman Technology 20160426 (20)

1.-DE-LECTURE-1-INTRO-TO-DATA-ENGG.pptx

Data science team (new version)

Minne analytics presentation 2018 12 03 final compressed

Agile Chennai 2021 - Keynote | AI in Agility by Mukesh Jain

Data science team, a practice to setup

The Analytics and Data Science Landscape

DATA AND AI APPLICATIONS, TOOLS, TECHNOLOGY DIRECTIONS

Minne analytics presentation 2018 12 03 final compressed

DSDT Meetup May 2019

Future of ai 20190612 v1

How to get on the AI journey?

Data Scientists: Your Must-Have Business Investment

Data Scientist Why now?

Big Data Challenges

Data science presentation 2nd CI day

Trl jaist 20180304 v6

SSE 2017 10-09

Norway 20190312 v3

Analytics Trends 2015: A below-the-surface look

Leading the Future

Innovation Woman Technology 20160426

1. Big Data needs Women Discover Innovation Christine Bodart – IT Innovation @ Women In Computing 26/04/2016

2. Christine Bodart Mechanical Engineer Phd in Numerical Simulations 7 years Automotive Industry 13 years in Banking Industry - Project & Program manager - Technical & Security architect - Operations: Process, Asset, Risk & Security Management - Lean & IT Innovation  Christine.o.bodart@gmail.com @BodartCh

4. A world of too much data, too many choices, too many possibilities and too little time is forcing us to decide what we value

6. Is the sky the limit?

7. Source: Creative people must be stopped, D. Owens

8. 7 Process Steps

9. How to transform our limitations into advantages?

10.

11.

12.

13.

14. Design Thinking Understand Create Deliver

15. Data Science Method Source: Foundational Method for Data Science, IBM, 2015 1. Formulate a question 2. Gather data 3. Analyse data 4. Product

16. How Advanced Analytics works?