International Business Machines Corp. on Tuesday unveiled watsonx, a new data and artificial intelligence platform designed to assist businesses in implementing AI.

The new AI platform was introduced more than ten years after IBM’s Watson supercomputer gained notoriety for winning the Jeopardy game show. Watson could “learn” and process human language, according to IBM at the time. However, Reuters reported that Watson’s exorbitant price at the time made it difficult for businesses to use.

In ten years, AI adoption at businesses has been a focus due to the instant success of the chatbot ChatGPT, and IBM is vying for new business. This time, there is a better possibility of success because to the decreased cost of installing the massive language AI models, IBM CEO Arvind Krishna told Reuters ahead of the company’s annual Think conference.

“When something is 100 times cheaper, it really creates a very, very different attraction,” asserted Krishna. “Creating the model has a high initial barrier, but once you’ve done that, adapting it for a hundred or thousand different tasks is very simple and can be done by a non-expert,” the author writes.

According to Krishna, IBM may eliminate certain back office positions in the upcoming years. Regarding some media stories stating that IBM had stopped hiring for thousands of positions that AI would eventually replace, he responded, “That doesn’t mean the total employment decreases.”

“That makes it possible to invest significantly more in value-creating activities…Because we’re hiring in sectors where there is a lot more demand from our clients, we hired more individuals than we let go.

He continued by saying that IBM was adopting a more open ecosystem and working with organizations like Hugging Face, which develops open-source AI software.

According to IBM, businesses may use the watsonx platform to develop and deploy AI models, automatically translate natural language into code, and employ a variety of huge language models created for diverse applications, such as chemical synthesis or climate change modeling.