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Webinars, Events and Conferences

Omniscien Webinars

Register and watch Omniscien and partner webinars. If you miss a webinar or cannot watch it live at the scheduled time, come back after the webinar and watch the replay any time.

Upcoming Webinars

Stay tuned. We will be announcing new webinars shortly. Subscribe to our mailing list to be notified.

Please check out our Past Webinars in the meantime or subscribe to our mailing list if you would like to be notified by email of our new webinar dates.

We also have a large number of webinars available at our annual Artificial Intelligence, Machine Translation and Language Processing Symposium website.

Past Webinars

Advances in Artificial Intelligence and Language Technology: 2024 and Beyond

Demystifying Large Language Models (LLMs) and more.

Monday 4 December 2023

AI Brain

In the past 18 months, we have witnessed an unprecedentedly rapid transition and adoption of technology. Artificial Intelligence (AI), shrouded in both hype and mystique, has made a profound impact across various industries.

This webinar explores AI’s influence on language processing, workflows, and data processing within businesses. Our goal is to demystify AI in the realm of language processing, providing clarity on its real-world implications, risks, and benefits.
 We will assess AI’s current state and forecast its trajectory into 2024 and beyond. The webinar will cover significant advancements in AI as it relates to language, including Machine Learning (ML), Automated Speech Recognition (ASR), Machine Translation (MT), Media Processing, and Natural Language Processing (NLP).

We are excited to welcome Omniscien’s Chief Scientist, Professor Philipp Koehn, Chief Technology Officer, Dion Wiggins, and guest speaker Dr. Joseph Sweeney. Dr. Sweeney is a Research Director and advisor on the Future of Work at Intelligent Business Research Services (IBRS), a leading ICT and digital advisory firm.

New Language Studio Generative AI Module

Additionally, we’ll introduce the new Generative AI Module in Omniscien’s Language Studio. Experience a live demonstration of our cutting-edge Generative AI platform, reminiscent of ChatGPT but enhanced with your data for superior accuracy and control. This latest addition to the Language Studio suite allows enterprises to utilize AI while ensuring privacy and security. Discover how this technology can be integrated securely within your office network. With Language Studio, your data remains solely under your control, securely managed behind your firewall or within your self-hosted private cloud.

Join Omniscien’s Philip Koehn and Dion Wiggins, along with guest speaker Dr. Joseph Sweeney, for a comprehensive review of the rapidly evolving AI landscape from the context of enterprise enablement via AI, best practices, risk management, and future roadmaps.

Speakers:

Philipp Koehn
Professor Philipp Kohen
Chief Scientist,
Omniscien Technologies
Dion Wiggins
Dion Wiggins
CTO, Co-Founder,
Omniscien Technologies


Dr Joseph Sweeney
Industry Analyst,
Intelligent Business Research Services (IBRS)

Guest Speaker Bio

Dr. Joseph Sweeney, is a seasoned advisor and consultant at Intelligent Business Research Services (IBRS), where he specializes in business and technology strategy, emphasizing AI, data privacy, and compliance. He helps organizations navigate the complex landscape of emerging technologies, with deep expertise in education, the public sector, and Microsoft technologies. Dr. Sweeney’s background in AI, cloud computing, and technology trends enables him to offer valuable insights for developing strategic solutions. As a sought-after advisor, he guides organizations through digital transformation, market research, and the integration of cutting-edge technologies.

The Future of Language Related AI for Enterprises:

Local Agents and Fine-Tuned Large Language Models (LLMs)

Thursday 15 June 2023

AI Brain

Artificial Intelligence (AI) has revolutionised how we process and understand human language. At the heart of this transformation are two modern features. First is Large Language Models (LLMs) – powerful AI systems that comprehend and generate human-like text, leveraging deep learning techniques and extensive datasets. The second is Agents that perceive and interact with their environments through natural language processing (NLP) to ask questions, make decisions, produce data, and take actions.

However, the one-size-fits-all approach of LLM training, seen in OpenAI’s ChatGPT and Google’s Bard, often constrains their proficiency in task-specific efficiency and organisation specific knowledge, while also being fraught with data privacy and compliance risks.

The solution? AI models refined by cost-effective fine-tuning tools that cater to unique application requirements, empowering businesses to swiftly modify AI models with their proprietary data and process requests securely within the privacy of their own corporate networks.

Secondary to the solution is utilising natural language APIs atop tailored AI models, where secure self-hosted agents can interact with a curated, expandable toolset that excels in multimodal tasks, generating images, summarising text, transcribing and analysing audio and video, reading aloud, answering questions based on documents, generating company specific text, articles, data, and many more NLP features.

In the face of the current deafening level of AI noise from media, social media and vendors, charting the path for enterprise AI may seem daunting. This webinar aims to demystify the current state of relevant technologies. Omniscien’s AI experts will articulate their vision of a bright enterprise AI future powered by affordable fine-tuning tools for AI models and natural Language APIs, further amplified by the use of secure, self-hosted agents. The session will also showcase some existing and future features of Omniscien’s Language Studio platform as practical illustrations of what’s already achievable.

Join Omniscien’s Philip Koehn and Dion Wiggins for a comprehensive review of the rapidly evolving AI landscape from the context of enterprise enablement via AI, best practices, risk management, and future roadmaps.

Speakers:

Philipp Koehn
Professor Philipp Kohen
Chief Scientist,
Omniscien Technologies
Dion Wiggins
Dion Wiggins
CTO, Co-Founder,
Omniscien Technologies

Rise of the Machines: Balancing Language-Related AI Opportunities and Risks

Securing the Future of Generative AI, Machine Translation, Speech Recognition, NLP and AI Augmented Processes

Tuesday 25 April 2023

AI Data Privacy

ChatGPT 3.5’s launch in November 2022 transformed the AI landscape by making sophisticated, easy-to-use, and productivity-enhancing AI capabilities accessible to everyone online with little-to-no cost or experience. While related to specialized AI technologies, such as NMT for machine translation and ASR for voice recognition, its accessibility and adaptability set it apart.

The ensuing media spotlight on AI highlighted opportunities and risks, prompting enterprises to seize new opportunities, while governments quickly acknowledged the need for regulatory measures and controls. Italy banned ChatGPT due to perceived risks, and over a thousand stakeholders called for a research halt, citing ethics. As the hype subsides, realism and responsibility are reemerging for enterprises, as exemplified by Samsung after it lost control and ownership of sensitive data,  intellectual property and trade secrets.

ChatGPT was trained on 300 billion words of public data.

How many of the next 300 billion words will be your PRIVATE DATA?

In Part 3 of our 2023 AI Webinar Series, we delve into the secure and private use of language related AI technologies and discuss the future of AI for enterprises, how it augments human processes, and where it can be best utilized in a secure and private manner.

We will explore the following topics:

  1. Generative Text, Machine Translation, Voice Recognition and Optical Character Recognition in the new AI era.
  2. The perceived threats and benefits that AI augmented process bring to enterprises
  3. Real-world examples of prominent risks in the latest AI wave
  4. How GDPR and other compliance regulations fit with language related AI technologies
  5. The need for and expected regulatory changes and their impact on enterprises
  6. Strategies for mitigating and managing AI-related risks
  7. How technology is already adapting to address these risks and where it is heading in future.

Examples of technologies:

  1. Domain adaptation of foundation models
  2. Enterprise specific models for greater accuracy and relevance
  3. On-premise and on-device AI models
  4. Real world examples using Omniscien’s Language Studio AI platform

Join Omniscien’s Philip Koehn and Dion Wiggins, along with guest speaker Dr. Joseph Sweeney, for a comprehensive review of the rapidly evolving AI landscape from the context of enterprise enablement via AI, best practices, risk management, and future roadmaps.

Speakers:

Philipp Koehn
Professor Philipp Kohen
Chief Scientist,
Omniscien Technologies
Dion Wiggins
Dion Wiggins
CTO, Co-Founder,
Omniscien Technologies


Dr Joseph Sweeney
Industry Analyst,
Intelligent Business Research Services (IBRS)

Guest Speaker Bio

Dr. Joseph Sweeney, is a seasoned advisor and consultant at Intelligent Business Research Services (IBRS), where he specializes in business and technology strategy, emphasizing AI, data privacy, and compliance. He helps organizations navigate the complex landscape of emerging technologies, with deep expertise in education, the public sector, and Microsoft technologies. Dr. Sweeney’s background in AI, cloud computing, and technology trends enables him to offer valuable insights for developing strategic solutions. As a sought-after advisor, he guides organizations through digital transformation, market research, and the integration of cutting-edge technologies.

Redefining Domain Adaptation for Machine Translation and Voice Recognition – An Essential Primer

Thursday 16 February 2023

Domain Adaptation
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 an hour of information sharing and insights where we will demonstrate the tools and technologies to arm you with the essential knowledge on how to perform domain adaptation on modern AI systems.

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

Speakers
Philipp KoehnDion Wiggins
Professor Philipp Koehn
Chief Scientist,
Omniscien Technologies
Dion Wiggins
CTO, Co-Founder,
Omniscien Technologies

Large Language Models (such as ChatGPT, Machine Translation (MT) and Automated Speech Recognition (ASR) are three of the many different Artificial Intelligence (AI) technologies today that use Transformer models, so their domain adaptation (aka customization) processes have a lot in common. Domain Adaptation (also known as customization) is the adaptation of AI models used in MT and ASR to a specific domain or purpose such as automotive legal documentation, medical discussions, or investment portfolio sales.

This webinar will demonstrate how Omniscien’s team gathers and synthesizes billions of sentences of training data that is used to teach and adapt AI systems. We will explore best practices and explain the limitations of traditional approaches. We will show how to use AI to create many millions of sentences of training data that can be used as part of domain adaptation. Essentially, this means using one form of AI to teach another AI form new knowledge.

Modern AI systems are built on foundation models containing billions of parameters and need modern approaches to creating training data. New approaches are needed. The legacy historical approaches of simply uploading a few thousand sentences of data are insufficient. Some simple examples are listed below:10K-500K sentences that an organization can typically provide are insufficient to have any notable impact against billions of parameters used in modern foundation models.

  • Translation Management Systems (TMS) such as memoQ, Trados Studio, XTM, etc., do not store translation memories in optimal formats for training modern AI algorithms. Translation memories are not in sequence of the original document and are de-duplicated making them unsuitable for training document level translation systems where entire bilingual documents in sequence are needed to obtain the correct context.
  • Language Service Providers (LSPs) and translation departments may keep translation memories classified by organisation or customer, but seldom by writing style or purpose. Content from sales, marketing, engineering, legal and other areas are all mixed together.
  • Glossaries alone are absolute and result in over-fitting in the wrong context. Many MT systems using glossaries simply search and replace rather than use the glossary in context and the use of the glossary is not 100% reliable.

We will also explore how the advantages that LSPs and large organizations have had in the past by having “larger amounts of training data” on file are very quickly becoming irrelevant in the new redefined approach to domain adaptation where tens or evens hundreds of millions of sentences are needed to have any meaningful effect. Fortunately, there are already solutions that address this issue by enabling any organization to create this data quickly and cost effectively.

AI, NLP, Speech Recognition and Machine Translation: Predicting the next chapter with real-world use cases

Thursday, January 19, 2023

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.

Omniscien Technologies Hype Cycle for AI Technologies in Business - January 2023
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.

Part 1

Advances in Artificial Intelligence and Language Technology: 2023 and Beyond

Monday, November 21, 2022

In recent years, there have been astounding advances in language-related Artificial Intelligence (AI), Machine Learning (ML), Automated Speech Recognition (ASR) and Machine Translation (MT). This year alone has seen some amazing advances. Many technologies are now starting to work closer together with tightly integrated language processing pipelines.

MT and more broadly natural language processing have become essential parts of the global technological leadership race in AI. Research in this area has skyrocketed, and many ground-breaking achievements continue to be made. This fast-evolving technology field is changing the way people work, play, and understand data.

We will be looking into advances in machine translation, voice recognition, text to speech, optical character recognition, and many other advances in Natural Language Processing to see not only what progress was made this year, but what the year ahead holds also.

Part 2

Language Studio V6 Feature Update

Featuring 1,000 times faster translation, voice recognition, OCR, and more.

Advances in AI & Machine Translation: 2022 and Beyond + Language Studio V6.0 Product Launch

Wednesday, July 13, 2022

Part 1: Advances in Artificial Intelligence and Machine Translation: 2022 and Beyond

There have been many advances in language-related Artificial Intelligence (AI) and Machine Translation (MT) in the last 2 years. MT and more broadly natural language processing have become essential parts of the global technological leadership race in AI. Research in this area has skyrocketed, and many ground-breaking achievements continue to be made. This fast-evolving technology field is changing the way people work, play, and understand data.

Part 2: Language Studio V6.0 Product Launch

Featuring 1,000 times faster translation, voice recognition, OCR, and more.
­
Language Studio V6.0 will also launch on July 13, 2022, featuring a vast array of new features that are directly related to Part 1 of this webinar. Features include 1,000 times faster machine translation, Optical Character Recognition (OCR), Automated Speech Recognition (ASR), document format conversions and much more. We will provide a walkthrough of the platform and a live demonstration.

Advances in AI & Machine Translation: 2022 and Beyond + Language Studio V6.0 Product Launch

Wednesday, July 13, 2022

Part 1: Advances in Artificial Intelligence and Machine Translation: 2022 and Beyond

There have been many advances in language-related Artificial Intelligence (AI) and Machine Translation (MT) in the last 2 years. MT and more broadly natural language processing have become essential parts of the global technological leadership race in AI. Research in this area has skyrocketed, and many ground-breaking achievements continue to be made. This fast-evolving technology field is changing the way people work, play, and understand data.

Part 2: Language Studio V6.0 Product Launch

Featuring 1,000 times faster translation, voice recognition, OCR, and more.
­
Language Studio V6.0 will also launch on July 13, 2022, featuring a vast array of new features that are directly related to Part 1 of this webinar. Features include 1,000 times faster machine translation, Optical Character Recognition (OCR), Automated Speech Recognition (ASR), document format conversions and much more. We will provide a walkthrough of the platform and a live demonstration.

Everything that you need to know about customizing a great machine translation engine.

Thursday, November 18, 2021

Anyone can create a custom MT engine by simply uploading data and training. However, much like in a kitchen, just throwing ingredients in a pot does not make a great meal. A good recipe, a skilled chief, and the right tools will give a much better result. Similarly, a great translation engine that consistently delivers substantially higher quality translations that generic machine translation engines such as Google, requires expertise and experience.

Did you know that the latest MT engines are built on more than 1 billion bilingual sentences? We will go step-by-step through the process of how the latest document context technologies are used in the MT engine creation process. We will show how much effort that you need to put in and how data is created on such a large scale.

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 an hour of information sharing and insights.

This is Part 2 of a 2 part series. Part 1 is titled "Advances in Artificial Intelligence and Machine Translation: 2022 and Beyond" and is on Wednesday 17 November 2021. See above for registration details.

Advances in Artificial Intelligence and Machine Translation: 2022 and Beyond

Wednesday , November 17, 2021

As 2021 draws to a close, we look at some of the major advances in the last year and to what 2022 has in store for language-related Artificial Intelligence (AI) and Machine Translation (MT). MT and more broadly natural language processing have become essential parts of the global technological leadership race in AI. Research in this area has skyrocketed, and many groundbreaking achievements continue to be made. This fast-evolving technology field is changing the way people work, play, and understand data.

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 an hour of information sharing and insights on what 2022 will likely bring. We will look at trends in Neural Machine Translation, Natural Language Processing, Artificial Intelligence, Machine Learning, Data Mining, Text Analytics, and more.

We will also have a live demo of the latest features in Language Studio 6, Omniscien's latest AI based machine translation product where many of the advances can be seen in action.

This is Part 1 of a 2 part series. Part 2 is titled "Everything that you need to know about customizing a great custom machine translation engine." and is on Thursday 18 November 2021. This webinar does a deep dive into what is needed and the process of customizing a machine translation engine using the latest technologies. See registration for the second presentation below.

Applying New Advances in AI-based Machine Translation to Real World Use Cases

Thursday, June 17, 2021

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 on what the rest of 2021 and beyond will likely bring. We will look at trends in Neural Machine Translation, Natural Language Processing, Artificial Intelligence, Machine Learning, Data Mining, Text Analytics, and more.

This is a 2-part, 90-minute presentation.

Part 1: Exciting Advances and Breakthroughs in AI and MT.

In the last 3 years, there have been many significant advances in language-related Artificial Intelligence (AI) and Machine Translation (MT). MT and more broadly natural language processing have become essential parts of the global technological leadership race in AI. Research in this area has skyrocketed, and many ground-breaking achievements continue to be made. We will present a concise overview of the latest updates and advances in this rapidly advancing field.

Part 2: Putting Advances to Real World Use

This fast-evolving technology field is changing the way people work, play, and understand data. Language Studio V6.0 ships in July 2021, just weeks from now. We will look at many of the exciting new features and show how many of the technological advances discussed in Part 1 are being used in the real world. We will look at runtime translation features, with a number of great product feature reveals, and look at real-world examples of custom MT advances that take engines to as much as 25 BLEU points above Google, Microsoft, and DeepL offerings.

Artificial Intelligence and Machine Translation: 2021 and Beyond

Wednesday, December 16, 2020

2020 brought many advances in language-related Artificial Intelligence (AI) and Machine Translation (MT). MT and more broadly natural language processing have become essential parts of the global technological leadership race in AI. Research in this area has skyrocketed, and many ground-breaking achievements continue to be made. This fast-evolving technology field is changing the way people work, play, and understand data. We will also preview many of these features in the new Language Studio V6.0 that is shipping in early 2021.

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 an hour of information sharing and insights on what 2021 will likely bring. We will look at trends in Neural Machine Translation, Natural Language Processing, Artificial Intelligence, Machine Learning, Data Mining, Text Analytics, and more.

2020 Webinar Week October 13-14 2020

The Omniscien team has been hard at work developing our latest versions of market-leading machine translation, media and subtitle processing, and workflow automation products. Currently being finalized and in beta test ahead of their upcoming release, we are excited to announce a series of new products and product updates.

Join the Omniscien team for 3 presentations, including 2 new product preview webinars, and a comprehensive deep dive into the latest advances in data gathering, data synthesis, data cleaning, and best practices for customizing a high-quality translation engine.

Anatomy of a Great Custom Machine Translation Engine

Tuesday, October 13, 2020

Anyone can create a custom MT engine by simply uploading data and training. However, much like in a kitchen, just throwing ingredients in a pot does not make a great meal. A good recipe, a skilled chief, and the right tools will give a much better result. Similarly, a great translation engine that consistently delivers substantially higher quality translations that generic machine translation engines such as Google, requires expertise and experience.

Media Studio V2.0 - Part 1: Project Management and Editing Platform

Wednesday, October 14, 2020

Media Studio Project Management and Editing Platform go beyond the processing of data to manage workflows and human resources with task and project management tools that help in-house and remote teams improve collaboration, productivity, visibility, planning, accountability, and ultimately deliver results for subtitle and media related projects.

Media Studio V2.0 – Part 2: Data Processing Platform Preview

Wednesday, October 14, 2020

Media Studio Data Processing Platform delivers state-of-the-art data processing for subtitles, captions, video, and audio files powered by advanced artificial intelligence-based tools that augment human intelligence for increased productivity, efficiency, and accuracy.

Turn legacy language asset files into language data gold. Organize, clean, normalize, and extract a wide range of data and information that can be used to reduce human effort and as input in customized machine translation engines and workflows.

FREE WEBINAR: Advances in Artificial Intelligence and Language Technology: 2024 and BeyondWatch the Replay
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