WHY AI? HOW LANGUAGE & AI SERVICES GO HAND-IN-HAND

August 21, 2019

In practice, of course, things are more complicated. Effective translation necessitates a nuanced understanding of (at least) two languages and cultures, both source and target. It requires an understanding of the original content’s goals. It mandates a fluency in tone and subtext as well as vocabulary and grammar. In short, it requires a highly competent person to effect resonance. In theory, companies could (and some do) perform translation and localization work in-house. But the reason so many choose not to is because a language service provider (LSP) like Lionbridge can help simplify processes (and, in the long run, reduce costs) when translation and localization get really complicated.

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QuintessenceLabs

QuintessenceLabs is the leader in quantum-enhanced cybersecurity. We provide enterprises with the strongest data protection today, preparing them for a quantum-safe tomorrow. Products from QuintessenceLabs combine world class security expertise with advanced science to create high-value technology, including a quantum-based random number generator, a high-performance, interoperable key and policy manager and a broad range of strong encryption solutions.

OTHER WHITEPAPERS
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The Industrialization of AI

whitePaper | September 15, 2022

No broad industry trend, not client/server computing, not affordable hardware, not even the cloud itself, promises to so completely reshape the enterprise than artificial intelligence (AI). Melding decades-old mathematical principles with cutting edge algorithms and readily available, high performance hardware, AI is creating a seismic shift in the way companies across all industries build, maintain, and understand their core and departmental business operations.

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The UK’s AI Strategy: Where Are We Now?

whitePaper | September 22, 2022

Last year, the UK Department of Digital, Culture, Media and Sport (DCMS) published its 10- year National AI Strategy for the regulation and promotion of artificial intelligence (AI) in the UK (Report). DCMS seeks to build “the most pro-innovation regulatory environment in the world” and vows to make the UK the “best place to live and work with AI” over the next decade. Since then, the UK government and regulators have taken various steps towards this aim, with the Report anticipating a large number of AI-centric publications and consultations. Some key examples (and their latest status) are summarised below, including a policy paper and white paper on a pro-innovation national position on governing and regulating AI, an Information Commissioner’s Office (ICO) consultation on the beta version of its AI and data protection risk toolkit, and a consultation on copyright and patents for AI through the UK Intellectual Property Office (IPO).

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Recommendations on Updating the National Artificial Intelligence Research and Development Strategic Plan

whitePaper | March 30, 2022

The Stanford Institute for Human-Centered Artificial Intelligence (HAI) offers the following submission for consideration in response to the Request for Information(RFI) by the White House Office of Science and Technology to the Update of the National Artificial Intelligence Research and Development Strategic Plan.

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Deepwave Digital Creates an AI Enabled GPUReceiver for a Critical 5G Sensor

whitePaper | February 11, 2020

Deepwave Digital has leveraged the Artificial Intelligence Radio Transceiver (AIR-T) to create the first deep learning sensor for a 5G network. This network, the Citizens Broadband Radio Service (CBRS), will be the first spectrum sharing service provided by the telecommunications industry that leverages real time RF sensing. Critical to the operation of CBRS is the ability to determine if priority users are active on specific frequency channels. When no priority users are present, the spectrum may be reallocated for commercial networks to provide new enterprise services or additional bandwidth to existing services.

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Modern Risk Management for AI Models

whitePaper | September 15, 2022

The concept of Artificial Intelligence (AI) and Machine Learning (ML) dates back to the 1950s with researchers trying to use machines to simulate human intelligence in machines. However, their use in the financial sector has been limited. With enhanced customer service and mounting cost pressures, financial institutions (FIs) have now started to look at AI as a possible solution for improving cost and operational efficiencies.

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Osterman Research - Improve Performance of Microsoft Office 365

whitePaper | July 31, 2020

Microsoft 365 provides organizations with a range of efficient, new-style productivity and collaboration tools that are widely embraced across the world. However, Microsoft 365 comes with some shortcomings in certain key areas, such as security, auditing, archiving, backup and recovery, data protection, and more. Relying solely on the native capabilities in Microsoft 365 can lead to challenges, such as missed security threats and the inability to recover accidentally deleted data – all of which can be costly.

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Spotlight

QuintessenceLabs

QuintessenceLabs is the leader in quantum-enhanced cybersecurity. We provide enterprises with the strongest data protection today, preparing them for a quantum-safe tomorrow. Products from QuintessenceLabs combine world class security expertise with advanced science to create high-value technology, including a quantum-based random number generator, a high-performance, interoperable key and policy manager and a broad range of strong encryption solutions.

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