Generative AI won’t kill you, but it could kill your business if you don’t adapt to it. According to Venture Beat, 59% of organizations lack the resources to address expectations around generative AI. As more and more people use applications such as ChatGPT, Bard, and Claude, companies are analyzing the implications AND potential impact on their teams in customer experience, accounting, marketing, digital, and more. Given the speed at which the technology is advancing, it can be difficult to distinguish what can actually be implemented and have value today.

So, how to do it?

We recommend a consultative approach with the right partner and with a core axis that adds business value, improves processes, and reduces costs.

Generative AI depends on the data you train with.

TransPerfect leverages technology and incorporates generative AI in a lens best understood through three main categories:

1. Technology
2. Services
3. Solutions

In technology, TransPerfect’s AI.NOW division was launched in 2023 after years of research and development with a specific focus on commercializing a solution that helps businesses leverage translation technology while prioritizing data protection and confidentiality. Some key advantages include:

1. Data Security and Privacy
2. Compliance Assurance
3. Customization and Control
4. Integration Capabilities
5. Risk Mitigation
6. Over 50% savings on localization costs

For services, data engineering partners stand out to help enterprises improve the way they interact with generative AI applications. This includes, but is not limited to, prompt engineering, example-based learning, and fine-tuning models to solve specific cases.

In the rapidly evolving landscape of artificial intelligence, the pivotal role of data engineering partners becomes increasingly apparent, particularly in the realm of services. These strategic collaborators serve as indispensable allies for enterprises seeking to enhance their engagement with generative AI applications. With a focus on refining the intricacies of data handling, data engineering partners excel in prompt engineering, leveraging example-based learning methodologies, and meticulously fine-tuning models to address specific use cases.

This collaborative approach not only amplifies the effectiveness of generative AI applications but also empowers enterprises to navigate the complexities of an ever-evolving digital landscape with unparalleled agility and innovation. Finally, our solutions are focused on quickly creating content that is scalable, gaining knowledge in market research, or creating popular multilingual chatbots in any language, based off of knowledge bases, among others.

Some examples from above:

E-learning

Problem: Complexity in content creation

Solution: Leverage training material for automated course outline

Results: 25% lower costs and (turnaround time) TAT

Product Support

Problem: Complexity in question answering in the value chain

Solution: GenAI to answer complex questions based on product information

Results: Increased CSAT and reduced in 25% the teams’ workload

Digital Content

Problem: Cost and TAT for SEO-optimized multilingual content creation

Solution: GenAI combined with SEO data points for optimized creation (with humans in the loop).

Results: Over 50% reduction in costs and TAT

Data Auto-Labeling

Problem: High cost in human labeling

Solution: AI for data labeling and classification

Results: 70% cost reduction

Custom AI Solutions

Problem: Low availability and high cost of internal resources

Solution: Dedicated AI teams

Results: Faster time-to-market

In any scenario, we recommend starting with a pilot to assess the pros and cons of generative AI. If it doesn’t work, it’s best to look for another use case. But if there is a clear return on investment (there usually is), we recommend iterating continuously and scaling. It is important to note that, in addition to technology, detecting where people can take AI to the desired human level is key.

Generative AI has the potential to be a powerful tool for innovation and creativity, improving our productivity in the most repetitive tasks and unlocking our initial blank sheet in creative processes. As collaboration gets closer, AI will evolve and be able to solve increasingly complex problems. At TransPerfect, we are committed to the principles of responsible AI. We are flexible on models and hence we can help diverse industries.

For more information, give us a shout!