2023-05-10 13:50:00
Blue giant IBM today launched watsonx, an AI-powered new data platform to provide enterprises with scalable and applied artificial intelligence. Identify the organizations of the future need to be able to build AI on trusted data. And that information should be utilized wherever appropriate. It’s the reason IBM created watsonx.
Kitman Cheung, Technical Sales Director Asia Pacific, IBM Technology, says AI for business needs accuracy and reliability. These are of the utmost importance to running a business, and although AI has advanced in recent decades But there are still challenges in scaling up and implementing it into real world operations. Each time a new use case is created, a new model must be designed and modeled for that data set. Today, the organization is not ready enough. Still not sure how AI will bring benefits to the organization? There are also concerns about the ethics and safety of using generative AI and foundation models in business.
“We are trying to solve business problems. Therefore, it is important that this platform helps customers launch models that are accurate, scalable and adaptable. and that is why we feel This is the right time to launch watsonx.”
In theory, watsonx is IBM’s new AI and data platform. It provides enterprise users, data analysts, and developers with secure access to foundation models and tools to build and run traditional and new machine learning on their own data. The watsonx platform will consist of 3 key tools. Tool 1 is IBM watsonx.ai, an enterprise-ready AI tool for training, validating, deploying, and deploying AI models, including foundation models that power generative AI. big language but also data collected over time periodically. (time-series data) Data that is stored in column or table format. spatial information and various IT event information by the example model that has been developed
The second engine, IBM watsonx.data, is a data lakehouse optimized for governed data and AI workloads, and the third engine, IBM watsonx.governance. It is an end-to-end solution for data governance and AI governance.
When asked about the difference in price and ease of use of watsonx compared to the previous version of watson released by IBM. IBM executives weren’t clear on whether it would cost more or be easier to work with. But admitted that the AI capabilities in watsonx have been continuously evolving for a long time. And what’s exciting about the watsonx release is that AI will be the direction for all IBM solutions in the future, and that AI will make all the software that IBM has even more work in harmony.
“Even at a very basic level, the client may need a certain amount of budget to develop the structure. But the return is definitely more useful. from the customer’s direct experience They were found to be able to work faster and more efficiently by about 70% compared to their price value. In addition, there are businesses interested in using this AI platform to increase productivity and efficiency. reduce unnecessary expenses”
As to how watsonx differs from other AI, IBM points out that organizations today are struggling to train and maintain different AI models. To take advantage of machine learning and generative AI at scale on one platform Enable businesses to train, adapt, and deploy AI across the organization. with reliable information that the organization has under speed and good governance
Kieran Hagan, Technical Sales Lead Data Solutions Group artificial intelligence and automation Asia Pacific New Zealand and Korea believes that the opportunities for AI in the Asian region are in the spotlight Because the potential to interact with the data is high. During the period after COVID-19 Many countries in the ASEAN region have accelerated the construction of many infrastructures. This makes it a region that is digitizing faster than the rest of the world and is well equipped for AI adoption.
Overall, as forecast by PWC, AI will add $16 trillion to global GDP by 2030. IBM reiterates that as organizations accelerate AI adoption, it’s important to keep in mind the model. The use of AI by consumers and businesses is different. Especially when it comes to using foundation models and generative AI.
Finally, IBM reaffirmed its understanding of the direction the AI market is heading and has laid out a 10-year roadmap for AI development, with watsonx being one of the key steps towards that vision.
As for the use cases in which organizations can benefit from the watsonx platform, IBM points out that the watsonx platform can help organizations meet their needs in five ways, including interaction with customers. Automating business workflows and internal processes IT process automation Protecting your organization from cyber threats and helping organizations achieve sustainability goals.
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