In Romeo and Juliet, Shakespeare’s eternally popular story/play, Juliet shares her thoughts on names:

What's in a name? That which we call a rose

By any other name would smell as sweet.

Most of us would agree with Juliet. That’s because we know what a rose is. Most of us have seen, smelt, and touched a rose.

But what if you don’t know what the word means? Or, what if, like ChatGPT, you think that it means one of nine different things?

Every company that needs high-quality, complex data to train their AI apps and LLM models is asking its vendors to walk a tightrope and deliver against stringent quality metrics while staying on a tight budget. At e2f, we’ve been dancing on this tightrope for the last twenty years. Here are some lessons we learned.

Data is the fuel that powers artificial intelligence (AI), but it needs to be refined and processed before it can generate value.

Embracing new technologies, be it the car, the internet, or artificial intelligence, is never easy - but if we examine history, we find that rather than eliminating industries completely, technological advancements largely transform them.

The 2023 State of Machine Translation report analyzes the performance of 37 MT Engines across 22 language pairs and 9 content domains, providing the latest overview of the rapidly evolving MT landscape.

Read now to explore the privacy challenges in Conversational AI, data protection, consent management, secure data storage, and more.

From deciphering highly-varied dialects and accents to securing voice data from breaches and misuse, developers face an arduous journey creating systems capable of responding to the spoken word.

Language skills don't just support communication; they shape your child's entire cognitive framework. Explore the remarkable effects of early language exposure on brain development and discover how it sets the stage for lifelong success.

Traditional STEM fields like computer science and math will always be important in AI, but they’re not the only ones. Check out our blog post to discover the unexpected subjects which can help you contribute to AI.

From Nazi code-breaking to wondering if machines think - see how Alan Turing, John McCarthy, and Marvin Minsky shaped the future of AI.

Natural language processing (NLP) is the rapidly growing branch of artificial intelligence aimed at helping machines “understand“ human voice or text data - but for companies looking to capitalize on its capabilities, there are challenges to overcome. Explore the top 5 here.

While it's true that AI tools can automate repetitive or simple tasks, we believe that, by creating new opportunities and demand for skilled labor, artificial intelligence tools will ultimately have a positive impact on the job market.