TL;DR:
- IBM launched watsonx, an AI and data platform for businesses.
- Watsonx is a more cost-effective solution for companies to leverage AI.
- The lower cost of implementing large language AI models means the chances of success are now much higher.
- AI can reduce certain back-office jobs at IBM in the coming years.
- IBM is embracing a more open ecosystem and collaborating with open-source AI software development hub Hugging Face and others.
- Watsonx can train and deploy AI models, generate code automatically using natural language, and use various large language models built for different purposes.
- Companies can use Watsonx to optimize their operations and stay ahead of the competition.
Main AI News:
International Business Machines Corp has just launched watsonx, a new artificial intelligence and data platform aimed at helping companies seamlessly integrate AI into their business operations. This development comes more than a decade after IBM’s software, Watson, gained notoriety for winning the game show Jeopardy. Back then, the cost of Watson was prohibitive, making it challenging for businesses to use.
However, in today’s world, AI adoption is more attainable, and the overnight success of chatbot ChatGPT has brought AI adoption to the forefront of business considerations. IBM is looking to capitalize on this trend by offering a more cost-effective solution for companies to leverage AI to their advantage. According to IBM’s CEO, Arvind Krishna, the lower cost of implementing large language AI models means the chances of success are now much higher.
Krishna explains that “When something becomes 100 times cheaper, it really sets up an attraction that’s very, very different…to adapt that model for a hundred or a thousand different tasks is very easy and can be done by a non-expert.” In other words, AI is now more accessible to businesses of all sizes, not just those with deep pockets.
Moreover, Krishna highlights that AI can reduce certain back office jobs at IBM in the coming years, although this doesn’t necessarily mean a decrease in total employment. Instead, it frees up resources to invest in value-creating activities. IBM has been hiring more people than letting go, especially in areas where there is more demand from clients.
In addition, IBM is embracing a more open ecosystem and collaborating with open-source AI software development hub Hugging Face, and others. Companies can use the watsonx platform to train and deploy AI models, generate code automatically using natural language, and use various large language models built for different purposes, such as chemical creation or climate change modeling.
In conclusion, IBM’s watsonx platform has the potential to revolutionize the way businesses operate and make AI more accessible to everyone. With its lower cost and ease of use, companies can leverage AI to optimize their operations and stay ahead of the competition.
Conlcusion:
The launch of IBM’s watsonx platform signals a major step forward for the AI market, as it provides a more cost-effective solution for companies to integrate AI into their operations. With the increased accessibility and ease of use of AI, more businesses will be able to leverage its benefits, leading to increased competition and innovation in the market.
This move also highlights the importance of open ecosystems and collaboration in the development of AI, as IBM partners with Hugging Face and others to advance the technology. Overall, the launch of watsonx is a positive development for the market and has the potential to revolutionize the way businesses operate in the coming years.
