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Product Information on IBM watsonx
What is IBM watsonx?
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Overall experience with IBM watsonx
“Solid Product with Features out of the box”
“Advantages and Disadvantages of IBM Watson studio!”
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AI in CSP Customer and Business Operations
About Company
Company Description
IBM is a well-established entity focused on technology and development. The primary mission revolves around fostering technological growth and enhancing infrastructure, achieved through focused developments and consulting services. By encouraging inventiveness and innovation, it is geared towards facilitating the transition of theoretical ideas into practical realities, thus improving global functionalities. IBM brings about transformation by creating advanced solutions that reshape and redefine the world.
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A Snapshot of What Matters - Based on Validated User Reviews
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IBM watsonx Likes & Dislikes
Ease of use and collaboration aspects. Able to share data and project assets through catalog.
1. As data is really important in today's world the studio helps to analyze the datasets which helps in decision making. 2. AutoAI helps to automates the process of AI model developments. 3. Efficient with data modeling and scaling it.
IBM watsonx is out as a large AI platform that has multiple features of the entire AI workflow. Easly.ai is an all-in-one environment that allows users to prepare data, build machine learning models and practice with generative AI tools easily. Creating attractive prompts for different tasks like text summarization, tokenization, code generation using IBM built in models like granite, meta etc. Deployment of the models using the API key locally is easy. Data preparation, data preprocessing, data security in one platform.
Someone unstable at times. Inability to upload larger data files and the need to resort to data chunking.
1. Complex to start with for beginners it is little tuff in the beginning so would need peer support. 2. For small users it is little more expensive. 3. No offline access.
The IBM watsonx platform has many advanced features, but for beginners, understanding and navigating all the features and all the tools, especially in Watsonx.ai, governance can be a bit of a challenge. Some workflows and features feel rigid, making it hard to customize them for specific tasks or real-time projects. Tracking and managing AI models with governance tools can be time consuming when working on multiple projects or parallelly
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IBM watsonx Reviews and Ratings
- ENGINEER10B+ USDBankingReview Source
Solid Product with Features out of the box
Out of the box has a lot of useful functionality. Administratively not too many controls as it's managed by the central IBM IAM. - SOFTWARE DEVELOPER<50M USDIT ServicesReview Source
Driving AI Innovation with IBM Watsonx: An Insight
The IBM Watsonx platform is very easy to work with, even for those not deeply technical, and it has helped me save time by automating tasks that used to take longer. Collaboration features, shared workspaces and real-time updates make team work much easier. Mostly I like the machine learning and AI features. Watsonx platform having built-in machine learning models that can be used for real time projects directly for integration and deployment. Within one platform it has Data, AI, and Govern features for data analysis and prediction for feature. AI engineers and data scientists can use this platform to Build machine learning models, develop foundation models and manage the AI lifecycle to train, validate and deploy AI models in an easy way. Evaluate model output to help select the champion model or the best model out of all models. Creating chatbots is very easy and effective Create prompts to generate, summarize, and extract meaning from your unstructured data. - NETWORK ENGINEER50M-1B USDIT ServicesReview Source
about ibm watson studio
i like it because of it can provide a smooth and collaboratively work with our data in my enviroment. - System Engineer50M-1B USDIT ServicesReview Source
The easiest way to implement AI and ML
With IBM Watson Studio, AI and ML can be implemented quickly and easily. - PRE SALES50M-1B USDRetailReview Source
data analysis to obtain better business results
it is a platform that helps to better interpretthe analysis of company data and thus make better decisions