Co-Founder & Chief Technology Officer
Dion Wiggins, Omniscien Technologies’ CTO and Co-Founder, is a highly experienced ICT industry visionary, entrepreneur, analyst and consultant. He has comprehensive knowledge in the fields of software development, architecture and management, as well as an in-depth understanding of Asian ICT markets. He is an accomplished speaker and has a high media profile for his perceptive analysis of ICT in Asia Pacific.
Previously Dion was Vice President and Research Director for Gartner based in Hong Kong, where his research reports on ICT in China had a crucial impact on how the world views this market. Dion is also a well-known pioneer of the Asian Internet Industry, being the founder of one of Asia’s first ever ISPs (Asia Online in Hong Kong). In his role as consultant, Dion advised literally hundreds of enterprises on their ICT strategy.
DAY 1 – Monday, 26 March 2018
Keynote: Found in Translation – Technology Meets Language
Language is a complex beast. There is a running joke in the translation industry that machine translation will be a solved problem in 5 years. This has been updated every 5 years since the 1950’s. The promise was always there, but the technology of the day simply could not deliver. However real progress has been made.
This opening keynote presentation looks at the state of language technology in the context of artificial intelligence, machine learning, machine translation and language processing, cutting through the hype to look at real world applications of these technologies in business today. The following 4 days are packed with industry experts, with this presentation acting as a primer ahead of more in-depth knowledge. Dion will introduce some key concepts on a range of topics ranging from deep neural machine translation and artificial intelligence to outline how AI tools can be integrated into language processing workflows that break down language and language barriers. Finally, Dion will explore how language processing in both bilingual and monolingual contexts can find new information that his hidden from the human eye, but right in front of us to see in everyday business.
DAY 2 – Tuesday, 27 March 2018
Specialized Machine Translation
Technology + Case Studies:
DAY 3 – Wednesday, 28 March 2018
Big Data and Domain Adaptation of Machine Translation
Machine translation engines, like any data driven technology, function best when they are customized and optimized for a specific purpose. Even relatively small amounts of data have been shown to produce higher quality results for in-domain specialized domains that all the content that Google can build into a giant one-size-fits-all generic MT engine.
However, most organizations do not have sufficient data to customize an engine. Additionally, in many domains such as News or Defense/intelligence, the moment an engine is published, it is out of date. With technical approaches moving on from Statistical to Neural Network based models, even more data of higher quality is needed than ever before. In the past, systems typically built with 1-5 million sentences of data. Neural MT engines are now being built with the processing of billions of sentences of data.
This presentation explores a number of leading edge technologies and approaches to the creation of high quality constantly improving machine translation engines. We look at how data is gathered, processed and how MT engines can be kept current with even the most current of news and topics.
DAY 4 – Thursday, 29 March 2018
Advanced Language Studio