Keynotes, Panels and Tutorials

Keynote: Activities in Considerate Systems

Ted Selker,
UC Berkeley

Ted Selker is Director of Research on Accessible Voting at University of California Berkeley.  Ted spent five years as Director of Considerate Systems research at Carnegie Mellon University Silicon Valley. He was also responsible for developing the campus’ research mission, teaching HCI, Android product design, and research in voting with disabilities. Ted spent ten years as an Associate Professor at the MIT Media Laboratory where he created the Context Aware Computing group, co-directed the Caltech/MIT Voting Technology Project, and directed the CI/DI kitchen of the future/design of the future project. Ted’s work strives to demon strate considerate technology, in which people’s intentions are recognized and respected. He is well known as a creator and tester of new scenarios for working with computing systems. His design practice includes consulting to help dozens of startups and large companies, speaking engagements, and innovation workshops. His successes at targeted product creation and enhancement led to his role of IBM Fellow and director of User Systems Ergonomics Research at IBM. He has also served as a consulting professor at Stanford






Panel:

New era of Business Analytics

Figure for blog post


Panel discussion “New era of Business Analytics – Making sense of business ecosystems”

What’s common with companies such as General Electric, Google, Amazon and Supercell? Yes, they are all very successful in their own fields. But furthermore, one key to their success seems to be the extensive, innovative and in-depth understanding and use of the latest approaches in business data and information analytics in supporting their business decision making.

Various novel approaches of business analytics and data/information analytics are growing fast in importance in almost any industries. These approaches can be described broadly as new and powerful data-gathering and analysis methods, as well as new ways to aid decision-making that enable not only in-depth business-related insights but also the creation of useful foresight and predictions for business decisions that are derived from available data from various sources.

There are good reasons for the above trend

First, the need for business data and information analytics has grown significantly in importance due to the fast-growing huge amounts of data generated from e.g. firms’ financial transactions, various organisational information systems and other external sources, such as CRM, web and social media, and different types of devices and sensors attached to devices and machines that are increasing exponentially in terms of volume, velocity and variety.

Second, novel business analytics approaches allow, in increasingly more innovative and varied ways, the combination of the analytical skills of human decision makers with the huge computing and graphical illustration powers of novel computer technologies. Such novel technological possibilities have been created due to recent technological advances in information visualization techniques, social network analysis methods, new data analysis algorithms, data mining techniques, new types of databases known as NoSQL, as well as recent advancements in simulation and modelling that allow machine-learning methods for semi-automated model development and testing.

As a result, companies can receive in-depth insights for business decision making as well as for the enhancement of the business ecosystems they are involved in. The approaches allow experimenting with decisions, and enable very fast feedback from decisions that have been implemented in the markets. Furthermore, when combining analytics with recent business simulation tools, companies can receive feedback from the potential impacts of decision options even before they are realized with actual customers.

Increase your understanding

The purpose of this panel is to discuss the new era and recent trends of business analytics, from the perspective of multiple methods and multiple industries, and to increase understanding on how analytics can help in making sense of business decisions concerning the success and development of companies and their business ecosystems. In the panel there are entrepreneurs, company experts and researchers with extensive experience from the business use and development of various forms of latest analytics-related approaches.

Panelists include, among others, data analysis expert Timo Aho from Solita, data journalist Teemo Tebest from Finnish Broadcasting Company Yle, simulation expert and founder of SimAnalytics Inc. Samuli Kortelainen, and visual analytics expert Jukka Huhtamäki from Tampere University of Technology. The panel will be moderated by Jari Jussila and professor Hannu Kärkkäinen from NOVI Research Centre of Tampere University of Technology.