Category Archives: Thursday

Keynote – KM Buy-In: Proven Practices

Keynotes & Mentoring Morning: Thursday – Thursday 9 November 
08:45 – 09:45

For a KM initiative to be successful, knowledge managers must secure the support of senior leaders before implementation. Early top management buy-in results in funding, resources, advocacy, usage, broad organizational support, and success—the program yields its expected benefits, KM is spoken of and written about positively by leaders, stakeholders, and users. Hear from our long-time KM practitioner about proven practices illustrated by real-world examples for securing resources, active participation, and ongoing advocacy from top leadership. Get lots of tips for leading an effective, sustainable KM program that is seen as essential to the success of companies in different industries, of different sizes, and with different cultures.

Presented by: Stan Garfield

Keynote – KM Buy-In: Proven Practices

Thursday Keynotes – Thursday 9 November 
08:45 – 09:45

For a KM initiative to be successful, knowledge managers must secure the support of senior leaders before implementation. Early top management buy-in results in funding, resources, advocacy, usage, broad organizational support, and success—the program yields its expected benefits, KM is spoken of and written about positively by leaders, stakeholders, and users. Hear from our longtime KM practitioner about proven practices illustrated by real-world examples for securing resources, active participation, and ongoing advocacy from top leadership. Get lots of tips for leading an effective, sustainable KM program that is seen as essential to the success of companies in different industries, of different sizes, and with different cultures.

Presented by: Stan Garfield

Keynote – Beyond the Box: How Search Is Driving Data Access in a Hybrid World

Thursday Keynotes – Thursday 9 November 
09:45 – 10:00

For more than a decade, search technology has been used as the primary access point to the mountains of knowledge and data sitting behind an organization’s firewall. As environments evolve to account for private and public clouds, search is evolving beyond just the box to an API for human information. Will Hayes explores that evolution and talks about how search technologies and professionals play a key role in the enterprise cloud migration strategy.

Presented by: Will Hayes

Keynote – Beyond the Box: How Search Is Driving Data Access in a Hybrid World

Keynotes & Mentoring Morning: Thursday – Thursday 9 November 
09:45 – 10:00

For more than a decade, search technology has been used as the primary access point to the mountains of knowledge and data sitting behind an organization’s firewall. As environments evolve to account for private and public clouds, search is evolving beyond just the box to an API for human information. Will Hayes explores that evolution and talks about how search technologies and professionals play a key role in the enterprise cloud migration strategy.

Presented by: Will Hayes

Machine Learning, Taxonomy, Search

Track 1: Technical – Thursday 9 November 
10:15 – 11:00

Combining Machine Learning, Text Analytics, & Semantic Web for Automated Tagging

This talk describes work that the IBM Taxonomy Squad has done to develop an enterprise-scale service that automates the extraction of entities and the generation of meaningful metadata. We cover the approach that was taken to design a solution architecture that leverages a corporate knowledgebase and integrates best-of-breed services in taxonomy and ontology management, NLP, machine learning, text annotation, and entity extraction.

Presented by: Dan Segal

The Savior Machine: Text Analytics, Machine Learning, & the Role of Taxonomy

The promise of machine learning has become a practical reality in today’s enterprise, but companies often struggle with implementation or reliable results. One fundamental issue is the common “garbage in, garbage out” problem. Poor input stems from the lack of clean data or unclear results from unstructured data analysis feeding machine learning models. Well-built taxonomies powering clear text analytics rules are an important infrastructure need often overlooked in data science activities. Come learn more about the role of taxonomy and text analytics as sources of clean data for machine learning.

Presented by: Ahren E Lehnert

Fake News & Bad Ad Placement

Track 2: Business & Applications – Thursday 9 November 
10:15 – 11:00

News Analytics System

For modern digital enterprises, the key to survival is held by real-time predictive analytics done with heterogeneous data gathered from multiple sources—layered with contextual intelligence. The data is a mix of structured and unstructured data. Establishing contextual relevance requires systems imbued with deep reasoning capabilities that can link relevant pieces of information from within and outside the organization. This talk presents the outlines of a framework that can gather news events in real time, classify them, reason with them, and finally link them to an enterprise information repository and thereby generate alerts or early warnings for subscribed users. The framework is presented through a number of case studies.

Presented by: Lipika Dey

Content Meets Interest – Contextual Ad Targeting by Means of Cognitive Computing

The globally increasing tendency for political populism and media criticism has raised the sensitivity of brands to avoid misplacement of their own campaigns in negative and compromising contexts (bad ads). However, ad targeting is predominantly based on behavioral targeting techniques that heavily rely on (cookie-based) user profiling. The talk showcases a solution for real-time contextual targeting that is exploiting the full power of cognitive computing to match campaigns to online users’ real interests. The approach abandons tracking of any kind of user data and at the same time increases the precision of ad targeting on a real semantic level—beyond what can be achieved with keyword-based methods.

Presented by: Heiko Beier