Omniscien Technologies

Omniscien Technologies Omniscien products, and language processing solutions augment human Intelligence. Underpinned by sta

13 Comprehensive predictions with analysis. Detailed blog articles, videos and demos.
22/01/2025

13 Comprehensive predictions with analysis. Detailed blog articles, videos and demos.

Discover the future of AI and language processing in 2025. Explore the advancements in real-time translation, multilingual systems, and more.

FREE WEBINAR: AI Language Processing in ActionBridging the Gap Between Hype and Real Business Impact🗓️ Tuesday, Septembe...
05/09/2024

FREE WEBINAR: AI Language Processing in Action
Bridging the Gap Between Hype and Real Business Impact
🗓️ Tuesday, September 10, 2024
⏰ 16:00 CEST / 10:00 EDT
(Replay available for registered users)
Register at: https://omniscien.com/webinars/

Is AI really delivering on its promises? While tools like ChatGPT are everywhere, many businesses are still struggling to see meaningful results. Join our free webinar to learn how language processing technologies are transforming industries. From translation to speech recognition and NLP, discover how AI is revolutionizing workflows, boosting productivity, and closing the gap between leadership expectations and workforce realities.

📊 Key Highlights:
Advancements in AI and Language Processing – Explore cutting-edge tools and trends that are reshaping industries.
Leadership vs. Workforce Reality – Address the disconnect in AI adoption and see how AI can actually reduce workloads.
Innovative Use Cases – Real-world examples of how AI is solving business challenges.
Live Demo – Watch Language Studio in action with translation, speech recognition, and NLP tools.

🎥 Exclusive Case Study: See how UFA SERIAL DRAMA GmbH used AI to automatically transcribe, translate, and publish thousands of hours of legacy content—completely without human intervention!

👨‍🔬 Meet the Experts: Join Chief Scientist Philipp Koehn and CTO Dion Wiggins for insights into the latest AI trends.

🔗 Register now and unlock AI’s full potential for your business!

FREE WEBINAR:  Artificial Intelligence and Language Technology: 2024 and BeyondDemystifying Large Language Models (LLMs)...
01/12/2023

FREE WEBINAR: Artificial Intelligence and Language Technology: 2024 and Beyond

Demystifying Large Language Models (LLMs) and more...

Monday 4 December 2023

REGISTRATION: https://omniscien.com/resources/webinars/

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.

20/06/2023
FREE WEBINAR: The Future of Language Related AI for Enterprises: Local Agents and Fine-Tuned Large Language Models (LLMs...
06/06/2023

FREE WEBINAR: The Future of Language Related AI for Enterprises: Local Agents and Fine-Tuned Large Language Models (LLMs)

Thursday 15 June 2023

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.

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...

FREE WEBINAR: Rise of the Machines: Balancing Language-Related AI Opportunities and RisksSecuring the Future of Generati...
14/04/2023

FREE WEBINAR: 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

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 are yours?
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.
https://us06web.zoom.us/webinar/register/WN_i1rBG7x1SraaOs-bAbmmfw #/registration

Register and watch Omniscien and partner webinars. If you miss a webinar come back after the webinar and watch the replay any time.

Omniscien is featured in Omdena's latest report: Breaking Language Barriers: 39 World Leading Language Learning Organiza...
07/04/2023

Omniscien is featured in Omdena's latest report: Breaking Language Barriers: 39 World Leading Language Learning Organizations Using Technology to Make a Difference

2023 has just started, and here is a list of 39 language learning organizations that are making a positive impact on society.

FREE WEBINAR: Redefining Domain Adaptation for Machine Translation and Voice Recognition – An Essential Primerhttps://om...
08/02/2023

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

https://omniscien.com/webinars

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.

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.

https://omniscien.com/webinars

Register and watch Omniscien and partner webinars. If you miss a webinar come back after the webinar and watch the replay any time.

FREE WEBINAR: AI, NLP, Speech Recognition and Machine Translation: Predicting the next chapterAdvances in Artificial Int...
13/01/2023

FREE WEBINAR: 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.)

Register at: https://omniscien.com/webinars

Register and watch Omniscien and partner webinars. If you miss a webinar come back after the webinar and watch the replay any time.

AI, NLP, Speech Recognition and Machine Translation: Predicting the next chapter with real-world use casesFree Webinar: ...
12/01/2023

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

Free Webinar: Thursday January 19, 2023 - https://omniscien.com/resources/webinars/

During my time and Vice President and Research Director at Gartner, many approaches were used to analyze technology and the impact that it would have on business. Since leaving Gartner in 2006, I have often looked at approaches that were used and plotted them for personal use.

Recently, Professor Philipp Kohen and I were discussing the hype and other factors relating to Artificial Intelligence (AI) with respect to language processing. The hype, reality and misconceptions with AI technologies are significant. We thought that it would be interesting to see where the Omniscien team collectively thought the various technologies would be plotted using the Hype Cycle approach that Gartner pioneered.

We got together and analyzed the various relevant technologies, and their real world uses in the context of business. Many technologies have matured from a consumer perspective such as voice recognition and machine translation on your phone. That does not always correlate to being mature for enterprise use. Many additional concerns such as data privacy need to be considered.
The Hype Cycle above is the collective view of the Omniscien team on their currently level of maturity for use within business. We welcome any comments and feedback here in LinkedIn or on our blog post (https://omniscien.com/blog/hype-cycle)

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.

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.

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 explore these use cases from practical business perspectives and discuss how we arrived at our conclusions for many of the points plotted in the chart on our upcoming webinar. More information is available at https://omniscien.com/resources/webinars/

09/12/2022

System offers scalable way to turn oceans into energy source

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