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IBM Unveils WatsonX AI Platform

Key Points

  • IBM introduced Watson X at the 2023 Think event as its next‑generation AI platform aimed at democratizing AI for data scientists, developers, and non‑technical business users.
  • Watson X is built around three core components: **Watson X.ai**, an AI studio that blends IBM Watson Studio with generative AI and pre‑trained foundation models accessed via natural‑language prompts; **Watson X.data**, a lake‑house‑style data store that provides a unified, secure, and governed single point of entry for analytics and AI across on‑premise and multi‑cloud environments; and **Watson X.governance**, which (though not fully described) focuses on trustworthy, compliant AI deployment.
  • The platform supports the full data‑to‑AI lifecycle—data preparation, model development, deployment, and monitoring—while emphasizing high‑quality, trusted data and built‑in governance to ensure model reliability and compliance.
  • By offering self‑service access and a user‑friendly interface, Watson X aims to accelerate AI adoption and reduce data‑warehouse costs, enabling enterprises to scale AI initiatives wherever their data resides.

Full Transcript

# IBM Unveils WatsonX AI Platform **Source:** [https://www.youtube.com/watch?v=Zv80hz3Psls](https://www.youtube.com/watch?v=Zv80hz3Psls) **Duration:** 00:04:28 ## Summary - IBM introduced Watson X at the 2023 Think event as its next‑generation AI platform aimed at democratizing AI for data scientists, developers, and non‑technical business users. - Watson X is built around three core components: **Watson X.ai**, an AI studio that blends IBM Watson Studio with generative AI and pre‑trained foundation models accessed via natural‑language prompts; **Watson X.data**, a lake‑house‑style data store that provides a unified, secure, and governed single point of entry for analytics and AI across on‑premise and multi‑cloud environments; and **Watson X.governance**, which (though not fully described) focuses on trustworthy, compliant AI deployment. - The platform supports the full data‑to‑AI lifecycle—data preparation, model development, deployment, and monitoring—while emphasizing high‑quality, trusted data and built‑in governance to ensure model reliability and compliance. - By offering self‑service access and a user‑friendly interface, Watson X aims to accelerate AI adoption and reduce data‑warehouse costs, enabling enterprises to scale AI initiatives wherever their data resides. ## Sections - [00:00:00](https://www.youtube.com/watch?v=Zv80hz3Psls&t=0s) **IBM Announces Watson X** - The host outlines IBM's Think 2023 reveal of Watson X—a next‑generation AI platform with three components that provides self‑service, trustworthy data and end‑to‑end tooling for building generative models, traditional machine‑learning systems, and enterprise AI across developers, data scientists, and non‑technical users. ## Full Transcript
0:00it is that time of year again think 2023 0:03is here and I'm going to be covering the 0:05big announcement coming out of the event 0:06Watson X and its three main components 0:09all on this episode of IBM Tech now 0:12what's up y'all my name is Ian and I am 0:14back to bring you the latest and 0:16greatest news and announcements about 0:17IBM technology 0:19if you checked out any of the keynote 0:21addresses from this year's IBM think 0:23event you've already heard about the 0:25exciting introduction of Watson X 0:28for decades IBM has been at the 0:30Forefront of breakthroughs in Ai and we 0:32know that AI is already driving results 0:34for business 0:35we also believe it is time to place the 0:37power of AI in the hands of all kinds of 0:40AI Builders from data scientists to 0:42developers to Everyday users who have 0:45never written a single line of code 0:47Watson X is IBM's Next Generation AI 0:50platform and it's designed to do just 0:52that 0:53it provides self-service access to high 0:55quality trustworthy data this enables 0:58users to collaborate on a single 1:00platform where they can build and refine 1:02both new generative AI Foundation models 1:04and traditional machine Learning Systems 1:07Watson X helps facilitate the entire 1:09data and AI lifecycle from data 1:12preparation to model development 1:13deployment and monitoring and we believe 1:16it has the potential to scale and 1:18accelerate the impact of the most 1:19advanced AI on every Enterprise 1:22Watson X has three components and I want 1:24to dive a bit deeper into each one 1:27first is Watson x dot AI an AI Studio 1:30designed for the business of today and 1:32tomorrow 1:33watsonnext.ai combines the capabilities 1:36of IBM Watson Studio to build run and 1:39deploy AI based machine learning with 1:41the latest generative AI capabilities 1:43that Leverage The Power of foundation 1:45models 1:46as AI becomes more pervasive businesses 1:49need to feel confident in their models 1:51Watson x.ai provides that essential 1:54level of trust and gives users access to 1:57high quality pre-trained and proprietary 1:59IBM Foundation models for Enterprise 2:02additionally for AI to be truly 2:04transformative as many people as 2:06possible should have access to its 2:08benefits we made sure that Watson x dot 2:10AI is not just for data scientists and 2:12Developers 2:13business users can also access it via an 2:16easy to use interface that responds to 2:18natural language prompts for different 2:20tasks 2:21the second component is watsonx.data 2:24which allows businesses to quickly 2:26connect to data get trusted insights and 2:29reduce data warehouse costs it's a data 2:32store built on an open lake house 2:34architecture and it runs both 2:35on-premises and across multi-cloud 2:37environments optimized for all data 2:40analytics and AI workloads Watson x.data 2:44combines the flexibility of a data lake 2:45with the performance of a data warehouse 2:47helping businesses to scale data 2:49analytics and AI anywhere their data 2:52resides 2:53users can access data through a single 2:55point of entry with a shared metadata 2:57layer across clouds and on-prem 2:59environments 3:00watsonnext.data even comes with built-in 3:03governance security and automation 3:05the third and final component is Watson 3:08x dot governance simply put the more AI 3:11is embedded into daily workflows the 3:14more you need proactive governance 3:16watsonex.governance can help build the 3:18necessary guard rails around AI tools 3:20and the uses of AI it's an automated 3:23data and model lifecycle solution for 3:25creating policies assigning decision 3:27rights and ensuring organizational 3:29accountability for risk and investment 3:31decisions 3:33by providing the mechanisms to help 3:35secure and protect customer privacy and 3:37proactively detect model bias and drift 3:39Watson x.governance helps organizations 3:42meet ethic standards proactively manage 3:45risk and reputation and comply with 3:47regulatory requirements 3:49to sum things up IBM has designed Watson 3:51X to adhere to the core principles of 3:54trust while being as accessible as 3:56possible 3:57a future where trustworthy AI delivers 3:59boost to productivity and enhances 4:01Innovation is not only possible it's 4:03already here let's put AI to work and 4:06make the world work better 4:07to learn more about Watson X and its 4:09components hit the links in the 4:11description of this video 4:12thanks so much for joining me today for 4:14this episode of IBM Tech now if you're 4:16interested in learning more about the 4:17topics I've covered make sure you 4:18explore the links in the description of 4:20this video and again please don't forget 4:22to subscribe to our channel to stay up 4:24to date on what's going on in Tech now