David Parry-Jones, Chief Revenue Officer, DeepL, at SlatorCon London 2023

Interview with David Perry Jones

In this interview, Floren interviews David Perry Jones, the Chief Revenue Officer of D. They discuss the recent funding announcement and how D differentiates itself in the language technology industry.

Funding Announcement and Company Differentiation

• D recently announced significant funding, marking a new benchmark for the language technology industry.

• Despite the competitive market, D continues to differentiate itself based on quality, accuracy, security, and compliance.

Best Fit Use Cases for Machine Translation

• Machine translation is best suited for scenarios where quality and accuracy are paramount.

• Inside organizations: Legal documents, website localization, technical documentation.

• Outside organizations: Facilitating rapid expansion into new geographies for multinational companies.

• Translation aids in localization efforts for global enterprises.

Machine Translation Implementation Strategies

The discussion delves into how companies can effectively manage machine translation usage within their organizations while ensuring security and compliance.

Managing Machine Translation Usage

• Organizations should prioritize security and compliance when implementing machine translation solutions.

• Heavy users opt for compliance products to ensure data privacy and security.

• Extending quality translation services across the organization benefits occasional users currently relying on consumer products.

• Aim to transition occasional users to enterprise-grade solutions efficiently.

Ensuring Security Standards in Machine Translation

Addressing the importance of adhering to security standards in machine translation applications.

Compliance Standards and Data Security

• D emphasizes compliance with various frameworks such as GDPR, SOC 2, ISMAP certification to ensure data protection.

• Deploying own hardware in data centers enhances control over service management.

Future Trends in Language Technology

Exploring future advancements and challenges anticipated in language technology over the next two years.

Future Technological Progression

• Expectations suggest that technological advancements will continue at a rapid pace or even accelerate further within the language technology sector.

• Large language models are enhancing translation quality significantly.