AI, NLP, Speech Recognition and Machine Translation: Predicting the next chapter

Advances in Artificial Intelligence (AI) have become more visible than ever before in the last few years as AI has achieved new heights. Systems such as ChatGPT are showcasing what is possible with state-of-the-art AI. While these advances are truly great steps forward, many organizations are left wondering what it means for them and how they can best leverage such technologies to reduce costs, automate workflows/processes, and enhance functionality.

The Omniscien team have prepared a Hype Cycle based on what we see in the industry and where we see many of the language related AI technologies going in the coming years. We will explore many of these technologies and how they can be used in business now in the webinar.

Despite the hype, complex problems such as machine translation and speech recognition are far from solved. Although challenges remain, at this point they have reached a new level of maturity that extends their applicable use cases beyond simply translating text and documents, or augmenting the activities of human translators. As with all good technologies, as they mature they become features within other applications and workflows and move away from being a singular siloed application used in isolation. We will explore these use cases from practical business perspectives.
Consumers enjoy using machine translation, voice recognition, optical character recognition, and other NLP processes using the web, or using their phones, their Alexa or Google Home devices, etc. However, each time data is sent to these cloud services, the providers are using your data for a wide variety of purposes. Thus, what may be great for consumers, is often not practical for organizations due to data privacy and legal compliance issues and regulations (i.e., GDPR, CCPA, Australian Data Privacy Act, HIPPA, etc.). We will also explore how organizations can take advantage of the latest state-of-the-art technologies without losing control of their sensitive data and running afoul of regulations.

Join Omniscien’s Chief Scientist, Professor Philipp Koehn, a leading researcher in the field of AI and MT, along with Dion Wiggins, Omniscien’s CTO, for 90 minutes of information sharing and insights.

We will look at trends in Artificial Intelligence, Neural Machine Translation, Speech Recognition, Text to Speech, Natural Language Processing, Machine Learning, Data Mining, Text Analytics, and more.