Peplluis de la EASYINNOVA

Size: px
Start display at page:

Download "Peplluis de la EASYINNOVA"

Transcription

1 Peplluis de la Rosa EASYINNOVA

2 Smart Digital Technologies

3 ABOUT US BLUE ROOM INNOVATION helps businesses to innovate with smart digital technology from first class Research & Design. We are involved in the entire innovation process and help our clients convert ideas into big business opportunities EXPERIENCE Our team of over 30 people has collected +15 years of experience solving technology challenges CONSULTANCY Our consultants look for solutions that radically transform business with technology TECHNOLOGY EXPERTS Our team bring to life the digital transformation with advanced technology solutions AMBITION We access public funding for your ambitious innovation projects (National and European) OUR TEAM OF EXPERTS We are a multidisciplinary team

4 WHAT WE DO Helping business succeed with innovative smart digital technologies TECHNOLOGY INNOVATION CONSULTING We combine innovation and technology in our innovation consulting methodology to explore how businesses become more competitive. TECHNOLOGY DEVELOPMENT We can help you to develop a detailed specification or deliver the final product. The service can be tailored to your needs. FUNDING CONSULTING If you are looking for finance we can carry out an assessment of your concept idea and provide you with options for financing. Working together, Co-creating with digital technologies

5 OUR SERVICES We help businesses to succeed with innovative smart digital technologies TECHNOLOGY & INNOVATION CONSULTING We can help you to choose the right technology for your business. ARTIFICIAL INTELLIGENCE AND ADVANCED DIGITAL TECHNOLOGIES We work with advanced digital technologies from first class research. BIG DATA & BUSINESS ANALYTICS Let us show you how to create business value and new revenue streams with big data. TECHNOLOGY WORKSHOPS AND EVENTS Get to know us at an event. Learn more about advanced digital technologies in one of our workshops. Working together, Co-creating with digital technologies

6 Some of our SMART DIGITAL TECHNOLOGIES Technologies Artificial Intelligence User Profiling / Personalization / Expertise Detection / Cognitive Computing Machine Learning / Auto-learning (Pattern Recognition, Classification, Clustering, Neural Networks, Genetic Algorithms) Natural Language Processing (Lexical, Morphological, Syntactic) Semantics (Ontologies, Semantic Networks Auto-generation) Dialogue Systems / Natural Language Generation Sentiment & Emotion Analysis (Opinion & Mood Mining) Data Mining / Descriptive, Predictive and Prescriptive Analytics Combinatorial Optimization (Planning & Constraint satisfaction algorithms, Resource allocation) Electronic Auctions (forward & reverse auctions, multi-agent auctions, negotiation systems) Trust & Reputation Systems Rewarding Systems Gamification / Engagement Mechanisms Human Motivation / Human Behaviour Guiding Complementary / Virtual Currencies Image Processing Visual Sentiment Analysis / Visual Emotion Detection Visual Image Memorability / Interestingness Logo Recognition / Image Classification Digital Preservation Meta-data enrichment (Digital Content Contextualization) Format Validation (Conformance Check) Obsolescence Prevention (Digital Preservation Plans) and many others (Smart Contracts, Blockchain, Ripple, Scrappers, Dashboards, ) Applications Big Data & Analytics SmartCities Recommender Systems Decision Support Systems Loyalty Mechanisms & Churn Prediction Marketing & ecommerce & mcommerce Social Networks / Communities / Social Media Semantic Search Engines Energy Consumption Optimization Preservation of Digital Files (for end-users, SMEs & Institutions) Customer Intelligence Business Intelligence Some of our Smart Digital Technologies

7 1 Attract new costumers TOP7 BUSINESS CHALLENGES SOLVED BY DIGITAL TECHNOLOGY TODAY 3 Be more competitive 5 Reduce costs 6 Increase customer satisfaction 7 Improve business efficiency 2 Build customer loyalty 4 Create new business models (products or services) Business challenges today!

8 SMART CITIES Sustainable Growth Smart Digital Technologies

9 Creating ideas using artificial intelligence

10 La disrupción en moneda virtual para el sector consumo App de negociación y pago sin costes de empresa que da mucho más dinero al consumidor

11 11

12 Smart Contracts (Ethereum and Botnet)

13 MASTER IN SMART CITY - WORKING WITH INTERNATIONAL CITIES: SCHIEDAM, HASSELT, SANTIAGO, BREMERHAVEN, SAINT MEDARD, PRATO

14 Master in Smart Cities Focus: City, P2P IA, Smart destinations Vision This master tackles an interdisciplinary approach to future cities, where people and social machines (IoT) will make a difference. It is a huge opportunity of biz and societal development

15 BUSQUEDA DE COLABORACIONES (CLIENTE, PROYECTO I+D) Desarrollo de inteligencia con smart contracts (Ethereum o Botnet) sobre protocolos P2P como blockchain y aplicaciones de: 1. Apertura de puertas y economía colaborativa como AirBNB 2. Mejora de control de acceso en Shareconomy 3. Gestión de energía más fino 4. Mejora gestión de la privacidad y gestión de datos en BigData 5. Mejora de ridesharing, carsharing, como Uber o taxis 6. Mejora de la atención ciudadana y gestión de quejas 7. Activos digitales en su uso para transacciones 8. Preservación digital Invitación a los proyectos de ciudad que nacen del master de Smart cities

16 Smart Digital Technologies Blue Room Innovation Easy Innova Group

Search and Data Mining: Techniques. Introduction Anna Yarygina Boris Novikov

Search and Data Mining: Techniques. Introduction Anna Yarygina Boris Novikov Search and Data Mining: Techniques Introduction Anna Yarygina Boris Novikov Data Analytics: Conference Sections Fundamentals for data analytics Mechanisms and features Big Data Huge data Target analytics

More information

Appendices master s degree programme Artificial Intelligence 2014-2015

Appendices master s degree programme Artificial Intelligence 2014-2015 Appendices master s degree programme Artificial Intelligence 2014-2015 Appendix I Teaching outcomes of the degree programme (art. 1.3) 1. The master demonstrates knowledge, understanding and the ability

More information

Information Regarding / Información acerca de Unlicensed Money Transmitter / Your Personal Information /

Information Regarding / Información acerca de Unlicensed Money Transmitter / Your Personal Information / STATE OF CALIFORNIA BUSINESS, TRANSPORTATION AND HOUSING AGENCY DEPARTMENT OF FINANCIAL INSTITUTIONS WILLIAM S. HARAF, Commissioner of Financial Institutions www.dfi.ca.gov COMPLAINT REGARDING AN UNLICENSED

More information

Predictive Analytics. Noam Zeigerson, CTO

Predictive Analytics. Noam Zeigerson, CTO Predictive Analytics Noam Zeigerson, CTO Agenda The Predictive Analytics Need Innovative Technologies Business Solutions The problem: Inconsistent stream of revenue Available Data Sources ERP data Web

More information

Language Technologies in Europe: trends and future perspectives

Language Technologies in Europe: trends and future perspectives Language Technologies in Europe: trends and future perspectives European Commission Márta Nagy-Rothengass, DG CONNECT Data Value Chain Unit Berlin, 24 January 2013 META - Creation of language resources

More information

LIVING Communities: Discover Relationships, Craft Messages & Connect

LIVING Communities: Discover Relationships, Craft Messages & Connect LIVING Communities: Discover Relationships, Craft Messages & Connect LT-Accelerate. Brussels November 23-24. acceso.com @acceso We listen to and analyze the voice of the media and consumers to generate

More information

Information Regarding / Información acerca de Unlicensed Money Transmitter / Your Personal Information /

Information Regarding / Información acerca de Unlicensed Money Transmitter / Your Personal Information / STATE OF CALIFORNIA BUSINESS, TRANSPORTATION AND HOUSING AGENCY DEPARTMENT OF FINANCIAL INSTITUTIONS WILLIAM S. HARAF, Commissioner of Financial Institutions www.dfi.ca.gov COMPLAINT REGARDING AN UNLICENSED

More information

Las Tecnologías de la Información y de la Comunicación en el HORIZONTE 2020

Las Tecnologías de la Información y de la Comunicación en el HORIZONTE 2020 Las Tecnologías de la Información y de la Comunicación en el HORIZONTE 2020 A Coruña, 2 de Diciembre de 2013 Luis Rodríguez-Roselló ex-jefe de Unidad Network Technologies European Commission - DG CONNECT

More information

14:30 Watson applicaties bouwen met IBM Bluemix

14:30 Watson applicaties bouwen met IBM Bluemix A New Era of Thinking IBM BusinessConnect A New Era of Thinking 14:30 Watson applicaties bouwen met IBM Bluemix Rob Pennock pennock@nl.ibm.com Software Architect - IBM Cloud 1 2016 IBM Corporation What

More information

TEXT ANALYTICS INTEGRATION

TEXT ANALYTICS INTEGRATION TEXT ANALYTICS INTEGRATION A TELECOMMUNICATIONS BEST PRACTICES CASE STUDY VISION COMMON ANALYTICAL ENVIRONMENT Structured Unstructured Analytical Mining Text Discovery Text Categorization Text Sentiment

More information

SAP FINUG Teknologiaseminaari

SAP FINUG Teknologiaseminaari SAP FINUG Teknologiaseminaari SAP Advanced Analytics Joni Ahola, 09 September 2015 Human Centric Innovation On the Agenda Advanced Analytics Approach SAP Predictive Analytics Tools, Functions & Libraries

More information

A UPM initiative. The city of the future

A UPM initiative. The city of the future 1 A UPM initiative The city of the future 2 Some facts Today, more tan 50% of world population live in cities. There is a continuous flow of people from rural to urban areas. Urban population is growing

More information

Delivering Smart Answers!

Delivering Smart Answers! Companion for SharePoint Topic Analyst Companion for SharePoint All Your Information Enterprise-ready Enrich SharePoint, your central place for document and workflow management, not only with an improved

More information

Artificial Intelligence and Robotics @ Politecnico di Milano. Presented by Matteo Matteucci

Artificial Intelligence and Robotics @ Politecnico di Milano. Presented by Matteo Matteucci 1 Artificial Intelligence and Robotics @ Politecnico di Milano Presented by Matteo Matteucci What is Artificial Intelligence «The field of theory & development of computer systems able to perform tasks

More information

Curriculum Reform in Computing in Spain

Curriculum Reform in Computing in Spain Curriculum Reform in Computing in Spain Sergio Luján Mora Deparment of Software and Computing Systems Content Introduction Computing Disciplines i Computer Engineering Computer Science Information Systems

More information

50399AE Diseño de soluciones Business Intelligence con Microsoft SQL Server 2008

50399AE Diseño de soluciones Business Intelligence con Microsoft SQL Server 2008 50399AE Diseño de soluciones Business Intelligence con Microsoft SQL Server 2008 Fabricante: Indra Grupo: Inteligencia de Negocios Subgrupo: SQL Server 2008 - ETL - AS - RS Formación: Indra Horas: 25 Introducción

More information

Process Management and Control

Process Management and Control ANTIOQUIA SCHOOL OF ENGINEERING Process Management and Control ACADEMIC DOMAIN CURRICULUM FIELD PREREQUISITE(S) COREQUISITE(S) Administration/Management (UNDERGRADUATE AND MASTERS) General Management and

More information

The 4 Pillars of Technosoft s Big Data Practice

The 4 Pillars of Technosoft s Big Data Practice beyond possible Big Use End-user applications Big Analytics Visualisation tools Big Analytical tools Big management systems The 4 Pillars of Technosoft s Big Practice Overview Businesses have long managed

More information

Data Science & Big Data Practice

Data Science & Big Data Practice INSIGHTS ANALYTICS INNOVATIONS Data Science & Big Data Practice Customer Intelligence - 360 Insight Amplify customer insight by integrating enterprise data with external data Customer Intelligence 360

More information

AIM Banking 3 de Marzo 2016

AIM Banking 3 de Marzo 2016 AIM Banking 3 de Marzo 2016 Transformamos datos en acceso a financiamiento óptimo para PyMEs Opportunities & Trends Customer Management in a single Vision Marketing Product Risk Customer Management Decision

More information

Data Isn't Everything

Data Isn't Everything June 17, 2015 Innovate Forward Data Isn't Everything The Challenges of Big Data, Advanced Analytics, and Advance Computation Devices for Transportation Agencies. Using Data to Support Mission, Administration,

More information

Supervisión y sistemas de información para la industria.

Supervisión y sistemas de información para la industria. Supervisión y sistemas de información para la industria. Manel Pozo Responsable de Software para Iberia 29 de Abril 2014 PUBLIC INFORMATION Rev 5058-CO900E La visión PUBLIC INFORMATION 2 3 La Visión La

More information

Leveraging Big Data Technologies to Support Research in Unstructured Data Analytics

Leveraging Big Data Technologies to Support Research in Unstructured Data Analytics Leveraging Big Data Technologies to Support Research in Unstructured Data Analytics BY FRANÇOYS LABONTÉ GENERAL MANAGER JUNE 16, 2015 Principal partenaire financier WWW.CRIM.CA ABOUT CRIM Applied research

More information

IoTSec - Security in IoT for Smart Grids

IoTSec - Security in IoT for Smart Grids www.nr.no IoTSec - Security in IoT for Smart Grids AFSecurity Seminar, Secure October - Security R&D @ UiO and Partners Habtamu Abie, Norwegian Computing Center - NR IFI/Oslo 09/10/2015 IoTSec - Challenges

More information

Big Data Analytics for Smart Cities IAMOT 2015, June 08-11 Cape Town- South Africa Siemens AG 2015. All rights reserved. siemens.

Big Data Analytics for Smart Cities IAMOT 2015, June 08-11 Cape Town- South Africa Siemens AG 2015. All rights reserved. siemens. Dr. Osman Ahmed, Ph.d. P.E. Senior Director and Head of Innovation Building Technologies. Osman.ahmed@siemens.com Big Data Analytics for Smart Cities IAMOT 2015, June 08-11 Cape Town- South Africa Two

More information

The analytics landscape: A personal view

The analytics landscape: A personal view The analytics landscape: A personal view Charles Elkan el December 20, 2011 What is analytics? Big data, business intelligence (BI), decision support (DSS), data warehousing, unstructured data, knowledge

More information

Kingdom Big Data & Analytics Summit 28 FEB 1 March 2016 Agenda MASTERCLASS A 28 Feb 2016

Kingdom Big Data & Analytics Summit 28 FEB 1 March 2016 Agenda MASTERCLASS A 28 Feb 2016 Kingdom Big Data & Analytics Summit 28 FEB 1 March 2016 Agenda MASTERCLASS A 28 Feb 2016 9.00am To 12.00pm Big Data Technology and Analytics Workshop MASTERCLASS LEADERS Venkata P. Alla A highly respected

More information

Computer Science Electives and Clusters

Computer Science Electives and Clusters Course Number CSCI- Computer Science Electives and Clusters Computer Science electives belong to one or more groupings called clusters. Undergraduate students with the proper prerequisites are permitted

More information

DISIT Lab, competence and project idea on bigdata. reasoning

DISIT Lab, competence and project idea on bigdata. reasoning DISIT Lab, competence and project idea on bigdata knowledge modeling, OD/LD and reasoning Paolo Nesi Dipartimento di Ingegneria dell Informazione, DINFO Università degli Studi di Firenze Via S. Marta 3,

More information

Cuánto se demora una pit stop?

Cuánto se demora una pit stop? Cuánto se demora una pit stop? The Internet of Things Connect Transform Reimagine Edgar Galindo Septiembre 2015 Version 1.0 2 Agenda The IoT Por qué nos debería importar? Optimice su cadena de valor a

More information

Water resources management at the mining industry in Chile

Water resources management at the mining industry in Chile Water resources management at the mining industry in Chile Alejandra P. Acuña *, Reinaldo Peñailillo Environmental Group, Golder Associates S.A., Santiago, Chile, Project Engineer, 56-2 26162347, aacuna@golder.cl

More information

Big Data Challenges and Success Factors. Deloitte Analytics Your data, inside out

Big Data Challenges and Success Factors. Deloitte Analytics Your data, inside out Big Data Challenges and Success Factors Deloitte Analytics Your data, inside out Big Data refers to the set of problems and subsequent technologies developed to solve them that are hard or expensive to

More information

CO-CREATION AS THE KEY TO A PUBLIC, THRIVING, INCLUSIVE AND MEANINGFUL EUROPEAN INTERNET OF THINGS

CO-CREATION AS THE KEY TO A PUBLIC, THRIVING, INCLUSIVE AND MEANINGFUL EUROPEAN INTERNET OF THINGS 05/08/2014 SOCIOTAL Co-creation approach 1 CO-CREATION AS THE KEY TO A PUBLIC, THRIVING, INCLUSIVE AND MEANINGFUL EUROPEAN INTERNET OF THINGS M. Victoria Moreno University of Murcia 05/08/2014 SOCIOTAL

More information

Computer-Based Text- and Data Analysis Technologies and Applications. Mark Cieliebak 9.6.2015

Computer-Based Text- and Data Analysis Technologies and Applications. Mark Cieliebak 9.6.2015 Computer-Based Text- and Data Analysis Technologies and Applications Mark Cieliebak 9.6.2015 Data Scientist analyze Data Library use 2 About Me Mark Cieliebak + Software Engineer & Data Scientist + PhD

More information

SMART CITIES e-bricks OF THE SMART CITY. September 2013

SMART CITIES e-bricks OF THE SMART CITY. September 2013 SMART CITIES e-bricks OF THE SMART CITY September 2013 WE NEED TO RESPOND TO THIS NEW PARADIGM The paradigm on which XX century was built is exhausted. WE NEED TO DEFINE THE NEW PARADIGM FOR XXI CENTURY

More information

MLg. Big Data and Its Implication to Research Methodologies and Funding. Cornelia Caragea TARDIS 2014. November 7, 2014. Machine Learning Group

MLg. Big Data and Its Implication to Research Methodologies and Funding. Cornelia Caragea TARDIS 2014. November 7, 2014. Machine Learning Group Big Data and Its Implication to Research Methodologies and Funding Cornelia Caragea TARDIS 2014 November 7, 2014 UNT Computer Science and Engineering Data Everywhere Lots of data is being collected and

More information

EVERYTHING THAT MATTERS IN ADVANCED ANALYTICS

EVERYTHING THAT MATTERS IN ADVANCED ANALYTICS EVERYTHING THAT MATTERS IN ADVANCED ANALYTICS Marcia Kaufman, Principal Analyst, Hurwitz & Associates Dan Kirsch, Senior Analyst, Hurwitz & Associates Steve Stover, Sr. Director, Product Management, Predixion

More information

INTRODUCING RETAIL INTELLIGENCE

INTRODUCING RETAIL INTELLIGENCE INTRODUCING RETAIL GET READY FOR THE NEXT WAVE OF ANALYTICS IN RETAIL By: Dan Theirl Rubikloud Technologies Inc. www.rubikloud.com Prepared by: Laura Leslie Neil Laing Tiffany Hsiao WHAT IS RETAIL? Retail

More information

Some Economics of Cultural PSI: the Micro Perspective

Some Economics of Cultural PSI: the Micro Perspective Some Economics of Cultural PSI: the Micro Perspective Massimiliano Nuccio Research Affiliate ASK Bocconi Research Centre Bocconi University Milan - 10 October 2014 1 Agenda Which new sources of data can

More information

A virtual assistant for e-tourism. Alessandra De Paola, Marco Ortolani University of Palermo, Italy alessandra.depaola@unipa.it

A virtual assistant for e-tourism. Alessandra De Paola, Marco Ortolani University of Palermo, Italy alessandra.depaola@unipa.it national lab Smart Cities & Communities Alessandra De Paola, Marco Ortolani University of Palermo, Italy alessandra.depaola@unipa.it Palermo, October 29-30, 2015 I-Cities 2015 - CINI Annual Workshop on

More information

Self-Improving Supply Chains

Self-Improving Supply Chains Self-Improving Supply Chains Cyrus Hadavi Ph.D. Adexa, Inc. All Rights Reserved January 4, 2016 Self-Improving Supply Chains Imagine a world where supply chain planning systems can mold themselves into

More information

Federico Rajola. Customer Relationship. Management in the. Financial Industry. Organizational Processes and. Technology Innovation.

Federico Rajola. Customer Relationship. Management in the. Financial Industry. Organizational Processes and. Technology Innovation. Federico Rajola Customer Relationship Management in the Financial Industry Organizational Processes and Technology Innovation Second edition ^ Springer Contents 1 Introduction 1 1.1 Identification and

More information

THE POWER OF BIG DATA

THE POWER OF BIG DATA THE POWER OF BIG DATA A HANDS-ON WORKSHOP ON HOW TO CREATE VALUE FROM YOUR EVER-GROWING MOUNTAIN OF DATA 7 MEI 2015 AMSTERDAM SCIENCE PARK THE POWER OF BIG DATA A HANDS-ON WORKSHOP ON HOW TO CREATE VALUE

More information

Achieving Business Value through Big Data Analytics Philip Russom

Achieving Business Value through Big Data Analytics Philip Russom Achieving Business Value through Big Data Analytics Philip Russom TDWI Research Director for Data Management October 3, 2012 Sponsor 2 Speakers Philip Russom Research Director, Data Management, TDWI Brian

More information

How To Make Sense Of Data With Altilia

How To Make Sense Of Data With Altilia HOW TO MAKE SENSE OF BIG DATA TO BETTER DRIVE BUSINESS PROCESSES, IMPROVE DECISION-MAKING, AND SUCCESSFULLY COMPETE IN TODAY S MARKETS. ALTILIA turns Big Data into Smart Data and enables businesses to

More information

Augmented Search for IT Data Analytics. New frontier in big log data analysis and application intelligence

Augmented Search for IT Data Analytics. New frontier in big log data analysis and application intelligence Augmented Search for IT Data Analytics New frontier in big log data analysis and application intelligence Business white paper May 2015 IT data is a general name to log data, IT metrics, application data,

More information

Machine Learning and Cloud Computing. trends, issues, solutions. EGI-InSPIRE RI-261323

Machine Learning and Cloud Computing. trends, issues, solutions. EGI-InSPIRE RI-261323 Machine Learning and Cloud Computing trends, issues, solutions Daniel Pop HOST Workshop 2012 Future plans // Tools and methods Develop software package(s)/libraries for scalable, intelligent algorithms

More information

INTELIGENCIA DE NEGOCIO CON SQL SERVER

INTELIGENCIA DE NEGOCIO CON SQL SERVER INTELIGENCIA DE NEGOCIO CON SQL SERVER Este curso de Microsoft e-learning está orientado a preparar a los alumnos en el desarrollo de soluciones de Business Intelligence con SQL Server. El curso consta

More information

Augmented Search for Software Testing

Augmented Search for Software Testing Augmented Search for Software Testing For Testers, Developers, and QA Managers New frontier in big log data analysis and application intelligence Business white paper May 2015 During software testing cycles,

More information

LAS EXPECTIVAS DEL INTERNET DE LAS COSAS

LAS EXPECTIVAS DEL INTERNET DE LAS COSAS LAS EXPECTIVAS DEL INTERNET DE LAS COSAS LOS NUEVOS CAMINOS DE LA PRODUCCIÓN DE BIENES Y SERVICOS Barcelona, 30 de noviembre de 2015 Lugar de celebración: Palau Macaya, Paseo de Sant Joan, 108, Barcelona

More information

Big Data in Healthcare

Big Data in Healthcare Big Data in Healthcare อ.ดน ยร ฐ ธนบด ธรรมจาร Line ID: Danairat FB: Danairat Thanabodithammachari +668-1559-1446 June 2016 1 Agenda Introduction to Big Data Big Data Architecture for Healthcare Connected

More information

MEDICAL DATA MINING. Timothy Hays, PhD. Health IT Strategy Executive Dynamics Research Corporation (DRC) December 13, 2012

MEDICAL DATA MINING. Timothy Hays, PhD. Health IT Strategy Executive Dynamics Research Corporation (DRC) December 13, 2012 MEDICAL DATA MINING Timothy Hays, PhD Health IT Strategy Executive Dynamics Research Corporation (DRC) December 13, 2012 2 Healthcare in America Is a VERY Large Domain with Enormous Opportunities for Data

More information

An Introduction to Advanced Analytics and Data Mining

An Introduction to Advanced Analytics and Data Mining An Introduction to Advanced Analytics and Data Mining Dr Barry Leventhal Henry Stewart Briefing on Marketing Analytics 19 th November 2010 Agenda What are Advanced Analytics and Data Mining? The toolkit

More information

Manjula Ambur NASA Langley Research Center April 2014

Manjula Ambur NASA Langley Research Center April 2014 Manjula Ambur NASA Langley Research Center April 2014 Outline What is Big Data Vision and Roadmap Key Capabilities Impetus for Watson Technologies Content Analytics Use Potential use cases What is Big

More information

CONNECTING DATA WITH BUSINESS

CONNECTING DATA WITH BUSINESS CONNECTING DATA WITH BUSINESS Big Data and Data Science consulting Business Value through Data Knowledge Synergic Partners is a specialized Big Data, Data Science and Data Engineering consultancy firm

More information

TOWARDS WEB 3.0 CONCEPT FOR COLLABORATIVE E-LEARNING

TOWARDS WEB 3.0 CONCEPT FOR COLLABORATIVE E-LEARNING TOWARDS WEB 3.0 CONCEPT FOR COLLABORATIVE E-LEARNING Michail N. Giannakos and Vasileios Lapatas Department of Informatics, Ionian University, Plateia Tsirigoti 7, Corfu, Greece Keywords: Abstract: Asynchronous

More information

Economic- Management. None. None

Economic- Management. None. None ANTIOQUIA SCHOOL OF ENGINEERING General Management ACADEMIC DOMAIN CURRICULUM FIELD (POSTGRADUATE AND MASTERS) PREREQUISITE(S) COREQUISITE(S) SUBJECT CREDITS - COLOMBIANS - ECTS (COLOM x1.8) DIRECT TEACHING

More information

MSCA 31000 Introduction to Statistical Concepts

MSCA 31000 Introduction to Statistical Concepts MSCA 31000 Introduction to Statistical Concepts This course provides general exposure to basic statistical concepts that are necessary for students to understand the content presented in more advanced

More information

Curriculum Vitae. Datos personales / Personal details. Apellidos / Family name MARTINEZ-ROS. Datos profesionales / Professional details

Curriculum Vitae. Datos personales / Personal details. Apellidos / Family name MARTINEZ-ROS. Datos profesionales / Professional details Curriculum Vitae Nombre/ First name ESTER Nacionalidad / Nationality SPANISH Datos personales / Personal details Apellidos / Family name MARTINEZ-ROS Formación académica / Academic Qualifications Degree

More information

Press pack. Paris, 20 June 2012. Investing for the future

Press pack. Paris, 20 June 2012. Investing for the future Press pack Paris, 20 June 2012 Investing for the future The "INFINI DRIVE" project for the development of electric vehicle recharging infrastructures has been selected by ADEME (French Environment and

More information

BIG DATA STRATEGY. Rama Kattunga Chair at American institute of Big Data Professionals. Building Big Data Strategy For Your Organization

BIG DATA STRATEGY. Rama Kattunga Chair at American institute of Big Data Professionals. Building Big Data Strategy For Your Organization BIG DATA STRATEGY Rama Kattunga Chair at American institute of Big Data Professionals Building Big Data Strategy For Your Organization In this session What is Big Data? Prepare your organization Building

More information

CONCEPTS OF INDUSTRIAL AUTOMATION. By: Juan Carlos Mena Adolfo Ortiz Rosas Juan Camilo Acosta

CONCEPTS OF INDUSTRIAL AUTOMATION. By: Juan Carlos Mena Adolfo Ortiz Rosas Juan Camilo Acosta CONCEPTS OF By: Juan Carlos Mena Adolfo Ortiz Rosas Juan Camilo Acosta What is industrial automation? Introduction Implementation of normalized technologies for optimization of industrial process Where

More information

Inteligencia Artificial Representación del conocimiento a través de restricciones (continuación)

Inteligencia Artificial Representación del conocimiento a través de restricciones (continuación) Inteligencia Artificial Representación del conocimiento a través de restricciones (continuación) Gloria Inés Alvarez V. Pontifica Universidad Javeriana Cali Periodo 2014-2 Material de David L. Poole and

More information

Doctor of Philosophy in Computer Science

Doctor of Philosophy in Computer Science Doctor of Philosophy in Computer Science Background/Rationale The program aims to develop computer scientists who are armed with methods, tools and techniques from both theoretical and systems aspects

More information

What is Hot on the Market and Trends. SDA Bocconi Quantitative Methods Competence Center

What is Hot on the Market and Trends. SDA Bocconi Quantitative Methods Competence Center What is Hot on the Market and Trends SDA Bocconi Quantitative Methods Competence Center 1. What is hot in the market 2. Focus: Big Data Application 3. Trends 4. Examples of Techniques for analyzing data

More information

Predictive analytics for the business analyst: your first steps with SAP InfiniteInsight

Predictive analytics for the business analyst: your first steps with SAP InfiniteInsight Predictive analytics for the business analyst: your first steps with SAP InfiniteInsight Pierpaolo Vezzosi, SAP SESSION CODE: 0605 Summary Who said you need a PhD to do sophisticated predictive analysis?

More information

The University of Jordan

The University of Jordan The University of Jordan Master in Web Intelligence Non Thesis Department of Business Information Technology King Abdullah II School for Information Technology The University of Jordan 1 STUDY PLAN MASTER'S

More information

Analytics Centre of Excellence: Roles, Responsibilities and Challenges

Analytics Centre of Excellence: Roles, Responsibilities and Challenges Analytics Centre of Excellence: Roles, Responsibilities and Challenges Warwick Graco Analytics Professional Convenor of the Whole of Government Data Analytics Centre of Excellence 1 Contents Changes to

More information

Amplify Serviceability and Productivity by integrating machine /sensor data with Data Science

Amplify Serviceability and Productivity by integrating machine /sensor data with Data Science Data Science & Big Data Practice INSIGHTS ANALYTICS INNOVATIONS Manufacturing IoT Amplify Serviceability and Productivity by integrating machine /sensor data with Data Science What is Internet of Things

More information

Experience Delight. Big Data. Copyright 2014. Ramyam Intelligence Lab

Experience Delight. Big Data. Copyright 2014. Ramyam Intelligence Lab Experience Delight Big Data Analytics, Visualization and Beyond Copyright 2014. Ramyam Intelligence Lab About Ramyam Ramyam Intelligence Lab founded in 2010, is a Customer Experience Management Solutions

More information

Analytics Drives Big Data Drives Infrastructure Confessions of Storage turned Analytics Geeks

Analytics Drives Big Data Drives Infrastructure Confessions of Storage turned Analytics Geeks Analytics Drives Big Data Drives Infrastructure Confessions of Storage turned Analytics Geeks Dr. Aloke Guha 29th IEEE Conference on Massive Data Storage May 8 th, 2013 aloke@cruxly.com What s Common Between

More information

Standardization of Components, Products and Processes with Data Mining

Standardization of Components, Products and Processes with Data Mining B. Agard and A. Kusiak, Standardization of Components, Products and Processes with Data Mining, International Conference on Production Research Americas 2004, Santiago, Chile, August 1-4, 2004. Standardization

More information

Movilidad 3.0: Más allá de BYOD. Pilar Santamaria. Directora de Desarrollo Negocio BN y Ciberseguridad, Región Sur de Europa

Movilidad 3.0: Más allá de BYOD. Pilar Santamaria. Directora de Desarrollo Negocio BN y Ciberseguridad, Región Sur de Europa Movilidad 3.0: Más allá de BYOD Pilar Santamaria Directora de Desarrollo Negocio BN y Ciberseguridad, Región Sur de Europa Tendencias: Movilidad y Web 3.0 Más allá de BYOD IPV6 y la Arquitectura Borderless

More information

Master of Artificial Intelligence

Master of Artificial Intelligence Faculty of Engineering Faculty of Science Master of Artificial Intelligence Options: Engineering and Computer Science (ECS) Speech and Language Technology (SLT) Cognitive Science (CS) K.U.Leuven Masters.

More information

Internet of Things, data management for healthcare applications. Ontology and automatic classifications

Internet of Things, data management for healthcare applications. Ontology and automatic classifications Internet of Things, data management for healthcare applications. Ontology and automatic classifications Inge.Krogstad@nor.sas.com SAS Institute Norway Different challenges same opportunities! Data capture

More information

Centro Andaluz de Innovación y Tecnologías de la Información y las Comunicaciones

Centro Andaluz de Innovación y Tecnologías de la Información y las Comunicaciones Centro Andaluz de Innovación y Tecnologías de la Información y las Comunicaciones Organization Name: Andalusian Centre of Innovation and Information and Communication Technologies (CITIC) Contact: Vanessa

More information

Understanding Web personalization with Web Usage Mining and its Application: Recommender System

Understanding Web personalization with Web Usage Mining and its Application: Recommender System Understanding Web personalization with Web Usage Mining and its Application: Recommender System Manoj Swami 1, Prof. Manasi Kulkarni 2 1 M.Tech (Computer-NIMS), VJTI, Mumbai. 2 Department of Computer Technology,

More information

Ciclo virtual en H2020

Ciclo virtual en H2020 Ciclo virtual en H2020 Thematic BIODIVERSITY in H2020 Name: Zuzana Boukalova (METCENAS) Zuzana.boukalova@metcenas.cz ALCUE NET has received funding from the European Unions Seventh Framework Programme

More information

Actionable Knowledge from Refined Data with Microsoft Business Intelligence

Actionable Knowledge from Refined Data with Microsoft Business Intelligence Actionable Knowledge from Refined Data with Microsoft Business Intelligence John Schlitt - Business Manager Automation COE, Nalco Copyright 2010, OSIsoft LLC. All rights Reserved. Nalco Company World s

More information

Appendices master s degree programme Human Machine Communication 2014-2015

Appendices master s degree programme Human Machine Communication 2014-2015 Appendices master s degree programme Human Machine Communication 2014-2015 Appendix I Teaching outcomes of the degree programme (art. 1.3) 1. The master demonstrates knowledge, understanding and the ability

More information

Decisyon/Engage. Connecting you to the voice of the market. Contacts. www.decisyon.com

Decisyon/Engage. Connecting you to the voice of the market. Contacts. www.decisyon.com Connecting you to the voice of the market Contacts www.decisyon.com Corporate Headquarters 795 Folsom Street, 1st Floor San Francisco, CA 94107 1 844-329-3972 European Office Viale P. L. Nervi Directional

More information

2012 #sharepointcouncil. Microsoft Corporation. All rights reserved.

2012 #sharepointcouncil. Microsoft Corporation. All rights reserved. Alejandro Fernández, Partner Account Manager, Microsoft Juan Manuel Fernández, Gerente de Negocios, BSN Latam SharePoint Council Costa Rica 2012 Agradecimientos especiales: Logística del SharePoint Council:

More information

Big Data Strategies Creating Customer Value In Utilities

Big Data Strategies Creating Customer Value In Utilities Big Data Strategies Creating Customer Value In Utilities National Conference ICT For Energy And Utilities Sofia, October 2013 Valery Peykov Country CIO Bulgaria Veolia Environnement 17.10.2013 г. One Core

More information

Estrategias para la Reducción de Riesgos y Ciber Ataques

Estrategias para la Reducción de Riesgos y Ciber Ataques Estrategias para la Reducción de Riesgos y Ciber Ataques Luis Zamora Consultor en Tecnología 1 This document is for informational purposes. It is not a commitment to deliver any material, code, or functionality,

More information

Business IntelliSENSE Social and Internal Data Marriage for Smarter Decisions

Business IntelliSENSE Social and Internal Data Marriage for Smarter Decisions 2014 BA Convention Business IntelliSENSE Social and Internal Data Marriage for Smarter Decisions May 2014 2014 BA Convention 2 Big Click Data to edit Drivers Master text styles Big Data Analytics is a

More information

User Conceptual Models of Event- Action IoT Applications

User Conceptual Models of Event- Action IoT Applications Fabio Paternò, Gabriella Lucci (2015): User Conceptual Models of Event-Action IoT Applications. In International Reports on Socio-Informatics (IRSI), Proceedings of the CHI 2015 - Workshop on End User

More information

Filipp Shubin COO Synqera for NRF Big Show 2014 DELIVERING A PERSONALIZED IN-STORE EXPERIENCE

Filipp Shubin COO Synqera for NRF Big Show 2014 DELIVERING A PERSONALIZED IN-STORE EXPERIENCE Filipp Shubin COO Synqera for NRF Big Show 2014 DELIVERING A PERSONALIZED IN-STORE EXPERIENCE The changing retail environment 1. Five-year average return on investment: 3. Customer satisfaction index (out

More information

Desde la División de Advanced Solutions de Ingram Micro, queremos agradecerle su asistencia al evento Technology Day organizado por Symantec.

Desde la División de Advanced Solutions de Ingram Micro, queremos agradecerle su asistencia al evento Technology Day organizado por Symantec. Apreciado colaborador, Desde la División de Advanced Solutions de Ingram Micro, queremos agradecerle su asistencia al evento Technology Day organizado por Symantec. A su vez, esperamos que su asistencia

More information

IEEE International Conference on Computing, Analytics and Security Trends CAST-2016 (19 21 December, 2016) Call for Paper

IEEE International Conference on Computing, Analytics and Security Trends CAST-2016 (19 21 December, 2016) Call for Paper IEEE International Conference on Computing, Analytics and Security Trends CAST-2016 (19 21 December, 2016) Call for Paper CAST-2015 provides an opportunity for researchers, academicians, scientists and

More information

2015 Top 10 Information and Communication Technologies (Technical Insights)

2015 Top 10 Information and Communication Technologies (Technical Insights) 2015 Top 10 Information and Communication Technologies (Technical Insights) Information and Communication technologies that will have the highest impact in 2015 -TI May 2015 Contents Section Slide Number

More information

WHITE PAPER Speech Analytics for Identifying Agent Skill Gaps and Trainings

WHITE PAPER Speech Analytics for Identifying Agent Skill Gaps and Trainings WHITE PAPER Speech Analytics for Identifying Agent Skill Gaps and Trainings Uniphore Software Systems Contact: info@uniphore.com Website: www.uniphore.com 1 Table of Contents Introduction... 3 Problems...

More information

Automating Big Data Management, by DISIT Lab Distributed [Systems and Internet, Data Intelligence] Technologies Lab Prof. Ph.D. Eng.

Automating Big Data Management, by DISIT Lab Distributed [Systems and Internet, Data Intelligence] Technologies Lab Prof. Ph.D. Eng. Automating Big Data Management, by DISIT Lab Distributed [Systems and Internet, Data Intelligence] Technologies Lab Prof. Ph.D. Eng. Paolo Nesi Dipartimento di Ingegneria dell Informazione, DINFO Università

More information

Fluency With Information Technology CSE100/IMT100

Fluency With Information Technology CSE100/IMT100 Fluency With Information Technology CSE100/IMT100 ),7 Larry Snyder & Mel Oyler, Instructors Ariel Kemp, Isaac Kunen, Gerome Miklau & Sean Squires, Teaching Assistants University of Washington, Autumn 1999

More information

AtlantTIC. Jornada CIS Madeira. Mobiliario inteligente. Atlantic Research Center for Information and Communication Technologies

AtlantTIC. Jornada CIS Madeira. Mobiliario inteligente. Atlantic Research Center for Information and Communication Technologies Jornada CIS Madeira Mobiliario inteligente Miguel Álvarez Iglesias Telecommunications Engineer Innovation & Business Development Manager miguel.alvarez@gts.uvigo.es Quiénes somos Áreas de conocimiento

More information

KPMG Unlocks Hidden Value in Client Information with Smartlogic Semaphore

KPMG Unlocks Hidden Value in Client Information with Smartlogic Semaphore CASE STUDY KPMG Unlocks Hidden Value in Client Information with Smartlogic Semaphore Sponsored by: IDC David Schubmehl July 2014 IDC OPINION Dan Vesset Big data in all its forms and associated technologies,

More information

CRM as a Service. For Customers in the Cloud

CRM as a Service. For Customers in the Cloud CRM as a Service For Customers in the Cloud Customer Relationship Management Our mission: to help our customer identify, define, design and deliver the best CRM strategy, in terms of For our Customer with

More information

SAVE ENERGY, SAVE MONEY. ENERGY ANALYTICS GOES MOBILE.

SAVE ENERGY, SAVE MONEY. ENERGY ANALYTICS GOES MOBILE. SAVE ENERGY, SAVE MONEY. ENERGY ANALYTICS GOES MOBILE. DATA ANALYTICS DELIVERS REAL VALUE TO UTILITY COMPANIES TODAY High cost to serve Low engagement / trust Increasing regulation Increase in smart metering

More information

Horizontal IoT Application Development using Semantic Web Technologies

Horizontal IoT Application Development using Semantic Web Technologies Horizontal IoT Application Development using Semantic Web Technologies Soumya Kanti Datta Research Engineer Communication Systems Department Email: Soumya-Kanti.Datta@eurecom.fr Roadmap Introduction Challenges

More information

HE learning and teaching: vision

HE learning and teaching: vision HE learning and teaching: vision Student progression Students have a wider range of options for customising their course: the content; how, when and where they study; how they are assessed and which activities

More information

IoT is a King, Big data is a Queen and Cloud is a Palace

IoT is a King, Big data is a Queen and Cloud is a Palace IoT is a King, Big data is a Queen and Cloud is a Palace Abdur Rahim Innotec21 GmbH, Germany Create-Net, Italy Acknowledgements- ikaas Partners (KDDI and other partnes) Intelligent Knowledge-as-a-Service

More information