This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Manage a range of machine learning models with watstonx.ai Nearly everyone, from developers to users to regulators, engages with applications of machine learning at some point, whether they interact directly with AI technology or not. And the adoption of ML technology is only accelerating.
Most experts categorize it as a powerful, but narrow AImodel. Current AI advancements demonstrate impressive capabilities in specific areas. Self-driving cars excel at navigating roads and supercomputers like IBM Watson ® can analyze vast amounts of data. A key trend is the adoption of multiple models in production.
AI alone could contribute more than $15 trillion to the global economy by 2030, according to PwC. And if you’re working in AI and accelerated computing right now, NVIDIA stands ready to help. Databricks offers an industry-leading dataplatform for machine learning, while Cohere provides enterprise automation through AI.
AI plays a pivotal role as a catalyst in the new era of technological advancement. PwC calculates that “AI could contribute up to USD 15.7 trillion to the global economy in 2030, more than the current output of China and India combined.” ” Of this, PwC estimates that “USD 6.6 trillion in value.
We organize all of the trending information in your field so you don't have to. Join 15,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content