Jasper Hedegaard Bojsen holds a master degree in Science in Engineering from the Technical University of Denmark and has worked at Microsoft for the past 15 years in a number of different roles related to making use of the potential of Technology for businesses, the public sector and society in general.
He is the Technology Officer at Microsoft Denmark and the spokesperson for Microsoft's vision on technology now and in the future.
Jimmy Kevin Pedersen is Head of the Agency of Digitization at the Ministry of Finance, and External Lecturer for business management at the University of Copenhagen. He was previously Director at Implement Management Consulting, Partner at Muusmann/Cowi, Director of Fujitsu Services, Vice President at the Municipality of Copenhagen and Management Consultant at Ernst & Young Management Consulting.
Jimmy Kevin Pedersen will talk about the new Danish public strategy for digitasation 2011 - 2015, the focus on self-service, the good business-case and the considerations about supporting citizens with low it-skills.
Karl Morteo is working at the Food and Agriculture Organization in the Information Technology Division, managing data centric, mobile and specialized knowledge information systems solutions and services in support of the struggle to free the world of hunger & malnutrition. Presently he is managing a strategic project to unite the Organization's data including statistics, maps, pictures and documents http://data.fao.org.
http://data.fao.org is a one-stop shop that aggregates, integrates, and catalogues data from multiple sources within the Food and Agriculture Organization of the United Nations (UNFAO). These entries cover topics related to nutrition, food and agriculture and include data such as statistics, maps, pictures, documents and more.
The overall objective is to strengthen the Organization’s capacity to collect, analyze, interpret, and disseminate information relating to nutrition, food and agriculture. We anticipate increased data utilisation, consistency and quality and efficiency gains through consolidation, de-duplication and improved ease of access.
The approach we are taking is to unify fragmented and “linear” systems to establish an organisational corporate data repository. This corporate data repository being a reliable, robust, secure and scalable facility to store, organise, integrate, locate and retrieve interdisciplinary substantive and scientific knowledge, information and data.
Mantra driving the project:
The project is expected to be complete at the end 2015, with a first public visible website being delivered at the end of 2012.
Find out more on http://data.fao.org
Stefano Bertolo received (1995) a joint Philosophy Ph.D. and Cognitive Science diploma from Rutgers, the State University of New Jersey with a dissertation on formal learning theory and human language acquisition. During three years as post-doctoral associate at the Brain and Cognitive Science department of the Massachusetts Institute of Technology he published a book and several papers on language acquisition. In 1998 he joined Cycorp, Inc. in Austin, Texas where he developed various components of the Cyc system and managed several research and development projects at the intersection between formal knowledge representation, natural language processing and information retrieval and extraction. Since 2004 he has been working as a scientific project officer for the European Commission where he oversees the progress of several research projects in knowledge representation, extraction and inference and contributes to the definition of future EU research directions.
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 two years alone. This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals to name a few. Big data spans the three dimensions: Volume, Velocity and Variety supplemented by Varacity. There are multiple uses for big data in every industry – from analyzing larger volumes of data than was previously possible to drive more precise answers, to analyzing data in motion to capture opportunities that were previously lost. A big data platform will enable your organization to tackle complex problems that previously could not be solved. IBM's Big Data platform blends traditional technologies that are well suited for structured, repeatable tasks together with complementary new technologies that address speed and flexibility and are ideal for adhoc data exploration, discovery and unstructured analysis. IBM InfoSphere BigInsights Enterprise Edition is IBM’s industrial-strength, Hadoop-based solution for big data analytics and IBM InfoSphere Streams allows you to capture and act on all of your business data - all of the time - just in time.
