Thomas Kelly

Improved analytics of the big data already at their fingertips can help transform organizations for the digital age, giving them answers to pressing business questions and uncovering previously unknown relationships and trends.

Analytics are connecting companies with their customers – with better understanding of their interests and the products/services that they need. To date, semantic technology has been addressing data management challenges associated with analytics that must be resolved before analytics begin. Now, semantic and cognitive techniques are augmenting conventional data-driven analytics to provide more accurate results as well as new insights from the data.

This presentation will describe… Mehr zeigen

Analytics are connecting companies with their customers – with better understanding of their interests and the products/services that they need. To date, semantic technology has been addressing data management challenges associated with analytics that must be resolved before analytics begin. Now, semantic and cognitive techniques are augmenting conventional data-driven analytics to provide more accurate results as well as new insights from the data.

This presentation will describe knowledge-based reasoning techniques to expand and accelerate insight delivery.
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By infusing information with intelligence, users can discover meaning in the digital data that envelops people, organizations, processes, products and things.

Semantic technology is transforming how businesses are planning and building new information management capabilities. Organizations are using semantic technology to successfully deliver projects that combine public and private data with expert knowledge to deliver a new generation of applications with "smart" features. Enterprises that are seeking to repeat these successes on a larger scale are industrializing their semantic technology platform and practices.

Mobile devices accounted for 55% of Internet usage by applications in the United States in January 2014. The mobile platform engages distributed data, often cloud-based, to interact with users. This presentation discusses use cases of how organizations are combining semantic technology and mobility to extend the reach of their applications to their mobile-enabled workforce and customers.

Meaning making – separating signal from noise. How do we transform the customer's next input into an action that creates a positive customer experience? We make the data more intelligent, so that it is able to guide our actions. The Data Lake builds on Big Data strengths by automating many of the manual development tasks, providing several self-service features to end-users, and an intelligent management layer to organize it all. This results in lower cost to create solutions, "smart"… Mehr zeigen

Meaning making – separating signal from noise. How do we transform the customer's next input into an action that creates a positive customer experience? We make the data more intelligent, so that it is able to guide our actions. The Data Lake builds on Big Data strengths by automating many of the manual development tasks, providing several self-service features to end-users, and an intelligent management layer to organize it all. This results in lower cost to create solutions, "smart" analytics, and faster time to business value. Weniger anzeigen

Industry leaders in sectors including banking and financial services have high hopes for semantic technology.

A semantically-rich information architecture can help businesses see hidden patterns in the murky and fast-proliferating data pools that surround people, organizations and devices.

Organizations must onboard new data sources more frequently and quickly. In this presentation, you will learn about practices that rapidly deliver business value, while shrinking time to business value from months to days.

Business decisions are becoming increasingly dependent on analyzing an ever-greater volume of data coming from a growing number of sources. Mobile technology is providing immediate access to data whenever and wherever it is needed. Users, customers, and business… Mehr zeigen

Organizations must onboard new data sources more frequently and quickly. In this presentation, you will learn about practices that rapidly deliver business value, while shrinking time to business value from months to days.

Business decisions are becoming increasingly dependent on analyzing an ever-greater volume of data coming from a growing number of sources. Mobile technology is providing immediate access to data whenever and wherever it is needed. Users, customers, and business partners are waiting for answers, and the organization must reduce the time required to collect, understand, and analyze the data needed to provide those answers. Modern enterprises need to increase the agility, flexibility, and speed with which they can analyze a growing volume, variety, and velocity of data.

This presentation discusses a method for rapid data integration and curation:

- Techniques for light data integration of new data with existing data assets
- Framework for data quality management
- Refining data integration through evolutionary modeling
- Managing curation processes
- Validating business value

Timely delivery of new data assets allows users to begin asking questions earlier and getting answers more quickly, allowing the organization to uncover the new insights that drive lasting business benefits. Weniger anzeigen

How do life sciences organizations ensure that they are realizing the benefits of their big data projects? This presentation discusses planning for achieving benefits, industrializing their big data projects, and delivering sustainable return on investment.

Presented at the 2013 Big Data in Pharma conference

To achieve sustainable competitive advantage and facilitate operational agility, organizations must speed the time to business value of newly acquired data assets from months to weeks or days. Semantic technology provides the architectural foundation for getting there.

Many of today's DW/BI practices were developed to optimize technologies that were conceived in the 1970's, 80's, and 90's. This presentation highlights key features of semantic technology and how DW/BI practices are likely to change to successfully deliver intelligent DW/BI projects.

Presented at the June 2013 Semantic Technology and Business conference